a paradigm shift in diagnosing and treating asd patients: autism is a treatable medical and...
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Abstract: Research on autism and autism spectrum disorders (hereafter referred to as ASD), and other serious neurobehavioral disorders, has minimally influenced patient outcomes or disease prevention. Although research links many genetic and environmental factors to these diseases, no single or small number of factors is responsible for disease in the majority of patients. An increasing number of seemingly disparate factors (genetic, environmental, and epigenetic) linked to ASD are converging on specific medical anomalies. Additionally, research tells us that each patient is unique. The medical abnormalities found in ASD are serious and debilitating and, in some cases, have been known for a long time. However, diagnosis and treatment of ASD remain focused on behavioral abnormalities. The translation of research to the clinic means that a new diagnostic and treatment paradigm must be developed that acknowledges the unique spectrum of medical and behavioral symptoms present in each patient. Diagnosis and treatment of medical abnormalities will improve patient quality of life and behavior. Today, this new paradigm is only benefiting a small number of individuals that can either personally pay for treatment, or are patients in free non-insurance reimbursed clinics.TRANSCRIPT
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A Paradigm Shift in Diagnosing and Treating ASD patients: Autism is a treatable medical and metabolic disease with behavioral components Prepared Statement: Congressional Autism Hearing
Original: November 29, 2012, Last Updated: Jan 31, 2013
Cassandra L. Smith, PhD¹ ² Professor, Biomedical Engineer, Biology and Experimental Therapeutics and Pharmacology, Boston University¹ Director of Research, Athena Biomedical Institute²
Kazuko Grace² Consumer Advocate, Athena Biomedical Institute²
A Paradigm Shift in Diagnosing and Treating ASD patients:
Autism is a Treatable Medical and Metabolic Disease with Behavioral Components
A Paradigm Shift in Diagnosing and Treating ASD patients: Autism is a Treatable Medical and Metabolic Disease with Behavioral Components Prepared Statement: Congressional Autism Hearing November 29, 2012 Last updated in January 31, 2013
Dr. Cassandra L. Smith Professor, Biomedical Engineer, Biology and Experimental Therapeutics and Pharmacology, Boston University Director of Research, Athena Biomedical Institute
Kazuko Grace Athena Biomedical Institute www.athenabiomedicalinstitute.org
Abstract: Research on autism and autism spectrum disorders
(hereafter referred to as ASD), and other serious neurobehavioral
disorders, has minimally influenced patient outcome or disease
prevention. Although research links many genetic and
environmental factors to these diseases, no single or small number
of factors is responsible for disease in the majority of patients. An
increasing number of seemingly disparate factors (genetic,
environmental, and epigenetic) linked to ASD are converging on
specific medical anomalies. Additionally, research tells us that
each patient is unique. The medical abnormalities found in ASD
are serious and debilitating and, in some cases, have been known
for a long time. However, diagnosis and treatment of ASD remains
focused on behavioral abnormalities. The translation of research to
the clinic means that a new diagnostic and treatment paradigm
must be developed that acknowledges the unique spectrum of
medical and behavioral symptoms present in each patient.
Diagnosis and treatment of medical abnormalities will improve
patient quality of life and behavior. Today, this new paradigm is
only benefiting a small number of individuals that can either
personally pay for treatment, or are patients in free non-insurance
reimbursed clinics.
ABI©2012, 2013
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Prepared Statement of Dr. Cassandra L. Smith
Professor, Biomedical Engineer, Biology and
Experimental Therapeutics and Pharmacology, Boston University
Director of Research, Athena Biomedical Institute
and
Kazuko Grace, Consumer Advocate
Athena Biomedical Institute
Contact Information:
Email: [email protected]
Tel: 617 571 3068
A Paradigm Shift in Diagnosing and Treating ASD patients:
Autism is a treatable medical and metabolic disease with
behavioral components.
Abstract: Research on autism and autism spectrum disorders (hereafter referred to
as ASD), and other serious neurobehavioral disorders, has minimally influenced
patient outcome or disease prevention. Although research links many genetic and
environmental factors to these diseases, no single or small number of factors is
responsible for disease in the majority of patients. An increasing number of
seemingly disparate factors (genetic, environmental, and epigenetic) linked to ASD
are converging on specific medical anomalies. Additionally, research tells us that
each patient is unique. The medical abnormalities found in ASD are serious and
debilitating and, in some cases, have been known for a long time. However,
diagnosis and treatment of ASD remains focused on behavioral abnormalities. The
translation of research to the clinic means that a new diagnostic and treatment
paradigm must be developed that acknowledges the unique spectrum of medical and
behavioral symptoms present in each patient. Diagnosis and treatment of medical
abnormalities will improve patient quality of life and behavior. Today, this new
paradigm is only benefiting a small number of individuals that can either personally
pay for treatment, or are patients in free non-insurance reimbursed clinics.
Introduction: Research has linked many genetic, epigenetic and environmental factors to
ASD and other serious neurobehavioral diseases like schizophrenia. Many factors should
be linked to these diseases because the brain is the most complex and evolved organ, and
will be sensitive to the greatest number of factors. Although research findings do not
provide the simple sought after answer, useful new information on how to diagnose and
treat serious symptoms in ASD should not be ignored.
Increasingly, seemingly disparate genetic, environmental, epigenetic and
medical factors linked to ASD are converging on deficits in specific metabolic processes.
The medical and metabolic abnormalities of ASD patients need to be diagnosed because
available treatments can improve the quality of life and behavior of these patients, and in
some cases prevent disease. Diagnostic regimes must be broad because research tells us
that each patient is unique. "Biomedical" diagnosis and treatment is increasingly, albeit
slowly, becoming recognized as important to these patients. Here, we will provide an
overview of genetic, environmental and epigenetic factors linked to the medical and
metabolic abnormalities present in ASD patients. A synopsis of the content of this paper is
presented in Table 1.
The issues raised are important discussion points for not only ASD but also
other serious neurobehavioral disorders like schizophrenia. Clearly, these suggestions
entail a major change in the manner in which neurobehavioral diseases are viewed within
the medical field, and by the public.
Appendix 1 has a glossary of scientific terms, abbreviations, and acronyms used
in this document. The Addendum has a list of suggested testing for comprehensive
assessment of each ASD patient. The Addendum is meant as a starting point for
discussion.
Diagnosis and treatment is based on behavioral criteria: ASD is diagnosed by the
presence of behavioral abnormalities that include impaired verbal and nonverbal
communication and social interactions, and stereotypic behavior and interest. In most
cases testing for genetic (e.g. genotyping, gene expression and epigenetic assessment) or
medical (e. g. metabolite, screening for toxic chemical, infections, inflammation, digestions
issues, and nutritional status) problems is not done, although these issues commonly
occur in ASD. Likewise, treatment regimes focus on insurance covered behavioral
interventions.
Genetic Liability Highly Variable: There are over 100 genetic loci linked to ASD. These
genes code for proteins involved in a variety of processes including: brain development
and function; metabolic pathways important in DNA and RNA replication; energy
production; cellular responses to inflammation and infection, xenobiotic exposures,
oxidative stress; and epigenomic programming.
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Table 1. Synopsis: ASD is a group of complex medical and metabolic diseases with behavioral abnormalities. 1. Diagnosis and treatment of ASD patients are focused on behavioral abnormalities and not the cause of disease, or presenting medical and metabolic problems. 2. Many varied (genes, environmental, medical and metabolic) factors are linked to ASD. 2.1 The brain is the most highly evolved organ should have the greatest number of factors linked to its development and function. 2.2 Early life is uniquely and especially sensitive to disruption. 2.3 Heritability measurements in ASD are mis-interpreted as saying disease is mainly due to genetic causes. 3. Over 100 genes are linked to AS 3.1 Genes linked to ASD are involved in neurodevelopment and brain function, metabolic pathways, and known medical conditions. 3.2 Some genes linked to ASD are also linked to rare genetic diseases caused by known single gene mutations. 3.21 Some rare genetic diseases are preventable through early diagnosis and intervention. 3.3 ASD displays genetic anticipation with successive generations have more severe and early onsets of disease. 4. ASD is linked to elevated rates of mutation making each patient unique. 4.1 Genetic and environmental factors linked to ASD can increase mutation rates and contribute to genetic anticipation and the spectrum of symptoms. 5. Xenobiotic exposures that increase the presence of reactive oxygen species (ROS) are linked to ASD but are difficult to assess. 5.1 Both major and minor xenobiotic exposures can be important. 5.2 A subset of individuals may be sensitive to xenobiotics like the heavy metals mercury. 5.3 Sensitivity to exposure can have a genetic origin, or be confounded by other, even non- assessed environmental factors. 5.4 Sensitivity can be due to deficits in the detoxification process, or the production and cellular response to the accompanying oxidative stress. 6. Infection and inflammation, commonly seen in ASD, impede biological processes and hinder the bodies response to stress. 6.1 Infection and inflammation impede DNA and RNA synthesis. 6.2 Gastrointenstinal disorders can lead to malabsorption and malnutrition. 6.2 Malnutrition before 2 years of age leads to behavioral abnormalities that resists nutritional interventions. 7. Nutrition is under-appreciated in pharmaceutical industry and in medicine. 7.1 Typically, medical professionals are not well-versed in nutrition, and insurance does not pay for such consultations unless symptoms are overt and classical. 7.2 Early nutritional interventions can prevent some ASD. 7.3 Essential nutrients must be obtained from the diet or the billions of bacterial that inhabit our bodies.
8. Folate, methionine, transulfuration and dopamine metabolic pathways are closely linked to each other and to ASD in multiple ways.
8.1 These pathways are involved in DNA and RNA synthesis, epigenomic programming, energy production, the cellular response to oxidative stress, and dopamine metabolism. 8.2 Multiple essential nutrients are required by these pathways. 8.3 Usually, most ROS are produced in the mitochondria during ATP (energy) production 8.31 Mitochondrial defects are found in a subset of ASD patients.
8.32 ATP is required for all bodily responses, e.g. infection, inflammation, response to ROS etc. 8.4 Complex and system biology approaches are needed to understand the dynamics of metabolic pathways in ASD. 9. Epigenomic regulation of development and function is disrupted in ASD. 9.1 Epigenomics represents the interaction between the genome and the environment. 9.2 The greatest amount of epigenomic programming occurs early in live.
9.3 Many and varied epigenomic changes are linked to ASD that include DNA methylation, histone modification. 10. Treatment of medical and metabolic abnormalities will improve the quality of life and behavior of patients.
About 20% of ASD patients, have "secondary autism", because a rare genetic
disorders with a single gene cause is present. Fragile X syndrome is the most common
genetic disorder linked to (1-2%) ASD patients, and is the most common cause of
hereditary mental retardation. Other single gene disorders linked to ADS are
developmental diseases that impact brain function and development.
The new ASD diagnostic criteria proposed in the Diagnostic and Statistical
Manual for Mental Illnesses (DSM-)-V, published by the American Psychiatric Association,
increases the number of disorders placed under the ASD umbrella without regard to
disease cause or treatment. For instance, Rett syndrome, a rare single gene disease linked
to a global deficite in epigenetic programming is now classified as part of the ASD
spectrum. Another group of genetic diseases linked to ASD involve “inborn-errors-of -
metabolism” (Karnebeek and Stockler, 2011). In some of these diseases, early dietary
interventions can prevent or reduce illness. An example of a severe brain disease
prevented by early detection and treatment is phenylketonuria. In the United States, all
newborns are tested for this disease because early and a simple dietary intervention
(elimination of phenylalanine) can prevents brain damage and disease.
Diagnosis of ASD based on behavioral abnormalities discourages genetic testing
for rare, treatable genetic diseases. Such a focus ignores research progress that defines
subsets of patients where prevention is possible, and adds un-necessary complexity to
basic and applied research and treatment.
Families segregating ASD with multiple family members affected by disease are
identified (Piven et al., 1997). In some families, ASD does not appear to be multi-
generational. Instead, less severe behavior abnormalities are seen in earlier generations
reminiscent of "genetic anticipation". Genetic anticipation refers to diseases that become
more severe, or have an earlier age of onset in successive generations. Genetic
anticipation in ASD may not be surprising given the recent rapid increase in disease
occurrence.
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A contributor to genetic anticipation in ASD can be the elevated rate of mutations found
in patients. Mutations that occur in egg and sperm will be passed to the next generation,
and can contribute to increasing disease liability, severity, the myriad of symptoms, and
genetic anticipation. Elevated mutation rates are found in other neurobehavioral diseases
(e. g. Nguyen et al., 2003 and many more recent genetic studies)
Mutations in sperm accumulate with paternal age, and elder fathers have an
increased number of children with ASD (For review see Smith et al., 2010, 2012). Further,
many environmental factors (discussed below) linked to ASD have the potential to
increase mutation rates and affect genetic anticipation. Thus, several lines of evidence
link ASD to increased mutation rate. Importantly, each patient has a unique set of
mutations and each patient must be tested for a broad range of mutational liabilities.
Similar results are found for other serious neuropsychiatric diseases like schizophrenia.
In the past, some research funding agencies focused almost exclusively on
genetic studies because ASD is said to have ~80% heritability. This was unfortunate
because of the widespread misunderstanding of heritability measurements especially in
neurobehavioral disorders. An ~80% heritability refers to the amount of disease
phenotypic variation that is due to genetic variation and NOT the percent of disease due to
genetic mutations. In addition, heritability does NOT measure the affect of environment on
disease variability. For instance, ~80% of a disease phenotypic variability may be linked
to both genetic and environmental factors. Today, more research funds are being spent
on environmental factors linked to ASD, although the general perception remains that ASD
is a genetic disease.
Environment Exposure History and Response Highly Variable: The industrial age
included the introduction of more than 100,000 commercially important chemicals into
the environment. Research on these chemicals is ongoing in a variety of arenas because of
their potential to influence many biological and organ systems, and diseases. One
outcome of environmental research has been the reduction or elimination of some
dangerous compounds from the environment.
However, the ability to define the effect of an environmental factor on humans
remains difficult because of the great genetic variability and environmental-history
differences between individuals. Further, the affect of multiple, varied low dose
exposures to different compounds may be important but is even more difficult to study.
Other complexities include exposure length, dose, time of life, and the presence of
confounding but un-assessed exposures and factors. For example, research has
demonstrated that ambient temperature, a simple environmental factor, can affect
outcome of an exposure.
Although controversial, xenobiotic, heavy metal like mercury are linked to ASD.
Some theorized that mercury in vaccines was responsible for the increase in ASD.
Although, the Federal Vaccine Court ruled in 2010 that there was insufficient evidence to
link vaccination to ASD, the controversy has not been put to rest. In 2011, Holland et al.
reported an increased incidence of ASD in vaccinated children. The picture became more
complicated because trans-generation mercury exposure was linked to ASD (Shandley and
Austin, 2011). In this study, grandchildren of pink disease (infantile acrodynia) patients
had an astounding 1 in 22 probability of becoming ill with ASD. Pink disease occurs in a
subset of individuals with elevated mercury levels.
Many studies support the idea that a subset of individuals is sensitive to
xenobiotics. Sensitivity may be due to defects in xenobiotic metabolism responsible for
detoxification of these compounds. Other sensitivity is due to the production or removal
of reactive oxygen species (ROS) and oxidative stress that is generated during the
detoxification process.
Genetic testing has identified deficits in these metabolic processes in some ASD
patients. Although direct and indirect affects may be difficult to sort out in individual
patients, detection of faulty pathways, and interventions that improve these pathways are
possible. For instance, the use of dietary anti-oxidants can improve the response to
oxidative stress and treatment regimes that remove detectable xenobiotics and reduced
ASD symptoms have been reported.
Nutrition and exercise is an under considered but un-refuted environmental
factor important for good health. Generally, the medical profession is not well versed in
nutrition and many clinicians fail to appreciate or treat nutrients as pharmaceuticals.
Similarly, medical insurance reimbursement for nutritional assessments and treatments
are limited to those patients with classical and severe symptoms of malnutrition.
Nutritional interventions in ASD have not been evaluated yet in many conventional
evidence based studies such as those used for pharmaceutical drug testing. Meanwhile,
parents of ASD patients continue to use nutritional interventions and, in some cases,
report good outcomes. The generally lack of interest in nutra-pharmaceuticals research in
both the pharmaceutical industry and the medical community is not surprising. Likewise,
exercise is an under utilized but beneficial ASD treatment (Sowa and Meulenbroek, 2012)
as it is for many common illnesses.
Under-nutrition and malnutrition before two years of age will lead to behavioral
abnormalities that resist nutritional interventions later in life (Galler et al., 1996).
Gastrointestinal problems and malnutrition are often present in ASD patients.
Gastrointestinal problems, including infection and inflammation, can lead to
malabsorption and malnutrition. Recently, the American Pediatric Association advocated
for the inclusion of gastrointestinal disorder assessment and treatment in ASD (Buie et al.,
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2012). Although a start, it is not clear that this testing will occur early enough to prevent
disease occurrence or to reduce severity (see phenylketonuria above).
Nutritional, genetic, environmental, medical and metabolic factors linked to ASD
converge on the abnormalities in the Folate-Methionine-Transulfuration-Dopamine
(FMTD) hub. Details are provided in Figure 1. In brief, the FMTD metabolic hub includes
pathways involved in oxidative stress response, DNA and RNA synthesis, energy
production, dopamine metabolism, and epigenomic programming.
Epigenetics Programming and ASD: Genetic and environmental factors linked to ASD
interfere with epigenomic programming directly and indirectly. Epigenetics
programming is a fuzzy term that refers to gene-environment interactions, and
developmental programs that enable a single inherited genome to code for multiple cell
type such as neurons, muscle and blood (for reviews see Abdolmaleky et al., 2008, Smith
et al., 2010, Smith and Huang, 2012). The greatest amount of epigenomic programming
occurs early in life. However, epigenomic programming is dynamic, and changes occur
throughout life.
Interference in epigenomic programming in early in life has the greatest
consequences because the largest number of cells and the earliest developmental
programs are affected. Some affects may not be apparent until much later in life or even
in another generation. The brain has the greatest amount of epigenetic programming, and
the greatest sensitivity to factors that interfere with this process.
Figure 1. The folate-methionine-transulfuration-dopamine (FMTD) metabolic hub. Nutrition, DNA and RNA synthesis, intracellular oxidative stress, epigenomic programming, and dopamine metabolism are closely linked in the FMTD metabolic hub. Abnormalities in these processes are linked to ASD. Details of the FMTD hub are provided here. Essential nutrients (dotted lines) that must be provided by the diet or from our microbiome are vitamins B9 (folate), B6, and B12; the amino acid methionine (met); and betaine/choline. Folate is converted to dihydrofolate (DHF), then tetrahydrofolate (THF) derivatives. The folate cycle (blue) directly participates in the synthesis of dTMP from dUMP and IMP (red *). dTMP is converted to dTTP and used for DNA synthesis. IMP is a precursor for the synthesis of all purine. Purines are required for DNA and RNA synthesis, and the energy currency of the cell, ATP and GTP. The major product of the met cycle (red) is S-adenosyl methionine (SAM). In epigenetic programming, methyl transferases (MT) enzymes use SAM as a methyl group donor. In the met cycle, SAM is made from met and ATP. Met is obtained exogenously, and can regenerated from homocysteine (HCY) by the addition of a methyl groups from THF or betaine (obtained from choline in the diet) by the enzymes methionine synthetase (MS), or betaine homocysteine methyl transferase (BHMT), respectively. The transulfuration pathway (green) synthesizes the major intracellular antioxidant, glutathione (GSH), and the amino acid cysteine (cys) from HCY. The enzyme MS has a second substrate, the demethylated dopamine D4 receptor (HCY-DRD4), that is converted to methylated DRD4 (met-DRD4) by the additional of a methyl group from THF (purple). The methylated DRD4 receptor (met-DRD4) covalently transfers the methyl group to lipopolysaccharides, changing cellular membrane characteristics.
Today a large research effort is focused on cataloguing the many epigenomic
changes that occur in ASD. Ultimately, the number of epigenetic changes will be at least an
order of magnitude greater than the observed genomic changes linked to ASD. Many
epigenetic changes will affect the same pathways that have been identified in earlier
genetic and environmental studies and are discussed above. Here, the discussion will
focus on global epigenetic changes that are linked to ASD and likely contribute to the
systemic and complex nature of disease.
The FMTD metabolic hub depicted in Figure 1 is the key global metabolic regulator of
epigenetic programming. In the FMTD hub, S-adenosyl methionine (SAM), a sulfur
containing metabolite, is the major methyl donor required for epigenomic programming.
DNA methylation is the best-studied epigenetic process, and generally DNA methylation of
gene promoter regions is associated with a loss of expression. Methyl groups from SAM
are donated to a wide variety of large (e.g. DNA, RNA, proteins, lipids and polysaccharides)
and small molecules (e. g. dopamine). Some xenobiotic detoxification reactions utilize
SAM. The FMTD hub is sensitive to nutrition, infection, inflammation, oxidative stress, and
toxic exposures.
Dopamine metabolism, a major process in the brain, is linked directly to the
FMTD metabolic hub and ASD (for review Smith et al., 2010, 2012). Direct links include
epigenetic programming of genes involved in dopamine metabolism, degradation of
dopamine by a methyl transferase (COMT), and methylation of the dopamine receptor D4
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(DRD4 receptor). Methyl transferase (MT) enzymes that use SAM or folate as a methyl
donor occur in all these reactions.
The FMTD hub is connected to the greatest number of intracellular reactions
because two metabolites, ATP and SAM, are the most used cofactors in the cell. During
evolution, the extensive metabolic wiring optimized the FMTD and imparted unique
characteristics: robustness to familiar conditions, and sensitivity to unfamiliar conditions.
The industrial age introduced new types and higher levels of xenobiotics. Some
xenobiotics that affect the FMTD hub were not encountered previously during evolution.
Xenobiotic exposures will increase the level of reactive oxygen species (ROS) and
oxidative stress. These exposures affect the FMTD hub because glutathione (GSH), a
sulfur-containing metabolite product of the FMTD hub, is the primary intracellular
antioxidant. Heavy metal exposures increase the level of reactive oxygen species (ROS),
and bind sulfur containing endogenous anti-oxidants.
Most ROS within a cell are produced as a side product of energy production
(ATP) in the mitochondria. Increases in processes that require ATP, like xenobiotic
metabolism and an oxidative stress response, will increase the level of ROS in the cells.
Infection and inflammation will increase the level of intracellular ROS and oxidative stress
directly, and indirectly because the biological response to these events includes an
increase in DNA and RNA synthesis, and energy production. Deficits in mitochondrial
function are detected in a subset of ASD patients (Anitha et al., 2012, Villafuerte, 2011)
Multiple essential nutrients (e.g. B vitamins, amino acids, and betaine/choline)
required within the FMTD hub must be acquired exogenously. Nutritional deficiencies
including both folate and betaine/choline are linked to behavioral and brain
abnormalities, ASD and schizophrenia (Smith et al., 2010, 2012, Blusztajn and Mellott,
2012)
Exogenous sources for essential nutrients include the diet and the microbiome.
The microbiome refers to the billions of microorganism that share our bodies.
Treatments with antibiotics to fight infection can change the microbiome detrimentally.
Although, this is a new area of research, abnormal microbiomes are detected in ASD (e. g.
Parracho et al., 2005), and other neuropsychiatric patients (Severance et al., 2012).
Severe gastrointestinal disorders in both adults and children, including ASD, are
linked to changes in the microbiome (e. g. Parracho et al., 2005; Benache et a., 2012), for
instance, infection by the pathogenic microorganism Clostridium difficile. Recently, fecal
transplants were used to successfully treat adult patients with C. difficile infections
(Stollman and Surawicz, 2012; Gought et al., 2011). Fecal transplants in ASD have yet to
be done, and are likely to be able to treat less severe microbiome imbalances. At this time,
the contribution of diet and the microbiome to human nutrition (or other internal
processes) is largely unknown, although dietary deficiencies alone are known to cause
disease.
Abnormal homocysteine (HCY) levels in blood are detected in many ASD
patients. HCY is a key FMTD metabolite with changes found many common diseases (e. g.
neuropsychiatric, cancer, and cardiovascular). In most cases, normalization of HCY levels
through simple (single) nutritional interventions has not been accompanied by a
reduction in disease symptoms. Hence, HCY levels are no longer monitored clinically.
The affect of nutritional intervention in neurobehavioral disease is not clear.
Folate and methionine supplementation alter psychotic symptoms (up and down,
respectively) in adult schizophrenia patients. Further, some pharmaceuticals useful in
treated schizophrenia affect the FMTD hub directly. An example is the increased
incidence of ASD like symptoms in children from mothers treated with valporate (to
control seizures) during pregnancy (Bromely et a., 2009). As a consequence of this
observation, valporate treatment of pregnant rodents is used to create rodent model of
ASD (Bambini-Junior et al., 2011). Valporate affects the production of SAM and epigenetic
programming.
Some clinical tests, including the measurement of single metabolites, are used
routinely to monitor health overall, while others are only used when warranted by
presenting symptoms. Research argues for monitoring ASD patient health using both old
(e.g. HCY), and newly identified important metabolites.
Global monitoring approaches used in systems biology can help understanding
disease in individual ASD patients. SNP testing and DNA sequencing which provide direct
information about genetic make-up is now in the clinical arena. Gene expression, a state-
of-the art research method, monitors cell function and has been useful for diagnosing and
treating cancer patients. Epigenomic changes and treatments based on this knowledge
are revolutionizing the treatment of cancer, especially blood displasias. In contrast to
other diseases, in cancer, the affected tumor tissue is available for analysis, and more
recent work has detected the DNA footprint of solid tumor cancer cells in blood.
As brain tissue is not readily available, metabolic monitoring of ASD patients
will need to be done with blood, or another readily available tissue. Changes in blood are
monitored for many diseases, and are linked already to ASD. Clinical tests of blood for
folate, HCY and other metabolites are done on blood, already. Whether changes are a
direct or indirect consequence of disease, blood has, and can serve as a sentinel of mental
health.
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The new paradigm: ASD is a group of complex medical and metabolic diseases with
behavioral abnormalities. Increasingly, the medical profession is recognizing that the
standard-of-care for ASD should include detection and treatment of non-behavioral
abnormalities. ASD patients have multiple and varying medical and metabolic problems
that need to be detected and treated. Today, ASD clinics that try to treat medical and
metabolic aspects of disease fall outside current insurance reimbursement schemes, and
in some cases mainstream medicine.
ASD is an illness that costs the government about $60 billion per year in the US
and is likely to increase. Schizophrenia, a similar common neurobehavioral disorder costs
about $160 billion per year. Both ASD and schizophrenia are common, severe and
lifelong. Research progress has increased our understanding of what processes are
abnormal for these diseases. However, the funds spent on research do not reflect the
relative cost of these diseases, and research results, for the most part, have yet to be
translated to the clinic. An estimated 20% of schizophrenia and ASD patients have
underlying but undetected medical disorders. It is a disgrace that patients are not tested
and treated for underlying medical and metabolic problems.
The U. S. National Institute of Health is moving towards a paradigm of
prevention rather than treatment of disease. Genetic make-up, infections, inflammation,
toxic exposures, malnutrition, diet and exercise influence the health of all individuals.
Research increasingly and repeatedly links environmental factors to many common
disorders. Appropriate diet and exercise will improve health for all individuals, and
reduce disease. For instance, a ~40% decrease in breast cancer can be realized through
diet and exercise. The translation of recent research observations to the clinic, whether
for breast cancer, ASD or schizophrenia can reduce disease.
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Smith CL, Bolton A and Nguyen G (2010) Genomic and epigenomic instability, fragile sites,
schizophrenia and autism. Current genomics 11:447-469.
Smith C and Huang K (2012) Epigenomics of neurobehavioral diseases, in Epigenetics of Human
Disease (Tollesfsbol T ed) pp 127-152, Elsevier, Amsterdam, The Netherlands.
Stollman N and Surawicz C (2012) Fecal transplant for Clostridium difficile. Archives of internal
medicine 172:825; author reply 825-826.
van Karnebeek CD and Stockler S (2012) Treatable inborn errors of metabolism causing
intellectual disability: a systematic literature review. Molecular genetics and metabolism
105:368-381.
Villafuerte S (2011)Suggestive evidence on the genetic link between mitochondria dysfunction
and autism. Acta psychiatrica Scandinavica 123:95
Appendix 1. Glossary of Scientific Terms and Acronyms
Anti-oxidant - molecules that protect cells from chemical damage caused by free radicals
ASD - autism spectrum disorder
Betaine - a small neutral metabolite that donates methyl groups to HCY
BHMT - betaine homocysteine methyl transferase enzyme
CH3-lipopolysaccharide - methylated lipopolysaccharide found in the cell membrane
Cys - cysteine, a sulfur containing amino acid
DSM - Diagnostic and Statistical Manuel for Mental Diseases published by the American Psychiatric
Association
DHF - dihydrofolate
Dopamine - neurotransmitter
DRD4 - dopamine receptor D4
dTMP - deoxythymidine mononucleoside, a precursor in dTTP synthesis
dTTP - deoxythymidine triphosphate, a precursor used in DNA synthesis
dUMP - deoxyuridine monophosphate, a precursor for dTMP synthesis
Epigenetics - a fuzzy scientific term that involves gene-environment interactions, and processes that
allow a single genome to develop into multiple cell types
Fragile X disease - most common cause of hereditary mental retardation
Federal Vaccination Court - refers to the Office of Special Masters of the U. S. Federal Claims Court
that administers a no-fault system for litigations involving vaccine injury
FMTD metabolic hub - folate-methionine-transulfuration-dopamine
Folate - vitamin B9
Gene expression - measurement of mRNA or protein levels
Genetic anticipation - phenomenon observed in some genetic diseases where severity increases,
and/or age of onset decreases in successive generations.
GSH - glutathione, a tripeptide composed of glycine-cysteine-glutamine with a gamma peptide bond
between the gamma carboxyl group of glutamine and the amino group of cysteine
HCY - homocysteine
HCY-DRD4 - demethylated DRD4 receptor
MET-DRD4 - methylated DRD4 receptor
IMP - inosine monophosphate, a precursor to the synthesis of all purines
Inborn-errors-of-metabolism - a large number of single gene diseases linked to metabolism
Met - methionine; a sulfur containing amino acids
MS - methionine synthase enzyme
MT - methyl transferase enzyme
Oxidative stress - refers to an imbalance in the level of reactive oxygen specie (ROS)s and the
biological detoxification pathways
ROS - reactive oxygen species
Phenylalanine - amino acid
Phenylketonuria - inborn error of metabolism disease
Pink disease - a disease found in a subset of individuals with elevated levels of mercury
characterized by pink hands or feet
Rett Syndrome - single gene disorder with a mutation in MeCP (methylated cytosine binding
protein) gene
17
SAM - S-adenosyl methionine, the major methyl donor in the cell
THF - tetrahydrofolate
Transulfuration pathway - metabolic pathway that converts homocysteine (HCY) to glutathione
(GSH) and cysteine an amino acid
Vitamin - small molecular compound essential to cells that must be obtained exogenously
Xenobiotic - small molecular weight molecule not ordinarily present in a biological system
Xenobiotic metabolism - pathway that detoxifies a xenobiotic
Addendum I
Suggested Medical and Metabolic Assessments Useful for ASD
A Paradigm Shift in Diagnosing and Treating ASD patients: Autism is a Treatable Medical and Metabolic Disease with Behavioral Components Addendum I Suggested Medical and Metabolic Assessments Useful for ASD Prepared Statement: Congressional Autism Hearing Original: November 29, 2012 Last updated: January 31, 2013
Dr. Cassandra L. Smith Professor, Biomedical Engineer, Biology and Experimental Therapeutics and Pharmacology, Boston University Director of Research, Athena Biomedical Institute
Kazuko Grace Athena Biomedical Institute www.athenabiomedicalinstitute.org
Prepared Statement of Dr. Cassandra L. Smith
Professor, Biomedical Engineer, Biology and
Experimental Therapeutics and Pharmacology, Boston University
Director of Research, Athena Biomedical Institute
and
Kazuko Grace, Consumer Advocate
Athena Biomedical Institute
Contact Information:
Email: [email protected]
Tel: 617 571 3068
A Paradigm Shift in Diagnosing and Treating ASD patients:
Autism is a treatable medical and metabolic disease with behavioral
components.
Addendum I
Suggested Medical and Metabolic Assessments Useful for ASD
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
Suggested Medical and Metabolic Assessments Useful for ASD
Cassandra L. Smith, and Kazuko Grace
Boston University and Athena Biomedical Institute
_____________________________
Introduction: Most governmental funds are directed towards studies on the causes
of ASD while translation of research results to patients is minimal. Research has
revealed some important ways to improve patient treatment today. However, the
answer is not simple.1 Each patient is unique and can have a unique variety of
medical, metabolic, epigenomic and behavioral symptoms.2 Hence, complex
diagnosis and treatment regimes need to be applied to patient care. Each patient
must be viewed from a holistic rather than the traditional reductionist perspective,
requiring input from multidisciplinary fields characteristics of “systems biology”.
Systems biology is a field of biology that focuses on understanding the many varied
complex interactions that occur in the body. Today’s clinician is not well versed in
all aspects of disease and research outcomes, and needs direct input from
researchers to insure maximal benefit to the patient.3
There is a revolution in research on disease prompted by the human genome
project. Arguably, patients likely to benefit the most from the new finding and
technologies are those with neurobehavioral illnesses like ASD. It is especially
egregious not to identify patients with inborn-errors-of-metabolism in time for
treatment interventions that may prevent a severe, lifelong, and untreatable illness.4
In most cases, insurance does not cover diagnostic procedures and treatments
for the medical, metabolic and epigenomic abnormalities linked to ASD. Patients
who can self-fund benefit from the accumulated knowledge of research. However,
testing alone is prohibitively expensive.5
21
The American Academy of Pediatrics believes that children's medical care
should be accessible, family-centered, continuous, comprehensive, coordinated,
compassionate, and culturally effective.6 7 Comprehensive health care insurance
coverage of ASD will reduce the financial burdens on families with ill children.8
Admittedly, this will be expensive. However, early diagnosis and treatment can limit,
and some cases, prevent disease, reduce the estimated ~60 billion dollar per year
expense for ASD. 9 10 11 12
This Addendum includes testing for a plethora of abnormalities found in ASD
patients with variable presentations. Because each patient is unique, a wide range of
testing is necessary to optimized individual treatments; however, we recognize the
financial burden imposed by all this testing. We present this list as a starting point
for discussion to develop an optimized testing hierarchy and treatment regime that
must include patient and advocate participation.
Behavior is influenced by medical and metabolic abnormalities: Today, autism
behavioral analysis includes hearing, speech and language, motor social skills. Other
testing that may uncover underlying medical or metabolic abnormalities that affect
behavioral is not done.13
A symptom of ASD is communication deficits, and some patients are non-
verbal. Putting aside the general issue that children have difficulty describing
symptoms, ASD imposes an additional handicap. Children with ASD may not reveal
health problems ranging from pain from the stomach, bladder, ear, infections etc.
Instead, these problems may be expressed as behavioral issues such as
aggressiveness, screaming etc. Many parents experience emergency room trip for
their children with ASD but disturbing behavioral problems may prevent medical
personnel from searching for and treating medical issues that can disrupt behavior.
Most physicians do not know that up to 20% of ASD patients have underlying
undiagnosed and untreated medical illness. 14
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
Research Funds: ASD is at epidemic proportions. Schizophrenia, an orphan
neurobehavioral disease similar to ASD also occurs in epidemic proportions.
Comprehensive medical testing of schizophrenia patients are predicted to reveal
underlying disease in 20% of patients, including inborn errors of metabolism that in
some cases are treatable. Today, comprehensive medical testing is not done on
schizophrenia patients. Research funds spent by the US government are minimal,
and not in line with the estimated ~160 million dollars per expense of schizophrenia.
Further, the scarce research resources tend to be concentrated in specific centers.
Unfortunately, the field of mental health has been rift with soothsayers that are
subsequently proven wrong, but who controlled the direction of research and
treatment. Concentrating research funds in the hands of a few investigators
prevents innovation. The historic low funding rates for research and treatment of
neurobehavioral disease limits innovation and improvements in clinical treatments.
Pharmaceutical companies have moved away from developing new drugs for
neurobehavioral diseases because of unusually high expense. If comprehensive
testing is not done on ASD, the situation continues to evolve towards the same
unsatisfying and frustrated outcome seen in schizophrenia where patients are
abandoned and viewed generally as being hopelessly ill.15
A new standard of care for ASD: Today, the question is what should the standard of
care be for ASD? Certainly, the underlying genetic liabilities associated with disease
need to be determined, and testing is easy and relatively inexpensive. Medical
abnormalities in ASD should be assessed by conventional testing, and by targeted
analysis of metabolites linked to diseases. For instance, immune and inflammatory
responses can be monitored with well-established laboratory tests. Some metabolite
levels are measured clinically already, but others metabolite abnormalities linked to
ASD need to be added to the testing repertoire.
23
Gene expression, epigenomic and metabolomics testing is important because
these measurements represent functional test that reflect the combined affects of
genetic, epigenetic and environmental factors. Gene expression and epigenomic
testing is well established and quite helpful in distinguishing between different types
of cancer. In ASD gene expression testing might be done using a sentinel, readily
available tissue like blood, or saliva. Recent findings show that solid tumors leave
detectable DNA residues in the blood.
The molecular functional studies can reveal past and present toxic exposures.
Some toxic chemical can be detected directly and removed. Individuals with
sensitivities can be identified and monitored. Comprehensive diagnostic testing
using the new genomic approaches can reveal a wide range of metabolic conditions
that warrant treatment.
Prospective: Below we provide a suggested list of assessment that should be
considered in the treatment of ASD patients. This list is long and comprehensive,
and is meant to serve as a starting point of discussion for a new treatment
paradigm.16
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
Addendum I
Suggested Medical and Metabolic Assessments Useful for ASD
Table of Contents
Introduction .............................................................................................................................................. 19
1. EVALUATION PROCESS .................................................................................................................................................... 25
a. Physical Exam and History ................................................................................................................. 25
i. When full metabolic evaluation should be performed .......................................... 25
2. DIAGNOSTIC TESTING ...................................................................................................................................................... 26
a. Metabolic Evaluation ............................................................................................................................. 26
i. Genetic Genotype/Phenotype Testing .......................................................................... 27
ii. Genetic Disease Testing (secondary autism) ............................................................. 27
iii. IEM (Inborn Errors of Metabolism) ............................................................................... 28
b. Metabolic Biomedical Phenotype Testing .................................................................................... 29
i. Amino Acids ............................................................................................................................. 29
ii. Cholesterol & bile acids ....................................................................................................... 30
iii. Creatine ...................................................................................................................................... 32
iv. Fatty Acid Metabolism Disorders .................................................................................... 31
v. Glucose transport & regulation ........................................................................................ 31
vi. Hyperhomocysteinemia ...................................................................................................... 31
vii. Lysosomes ................................................................................................................................. 32
viii.. Metals ......................................................................................................................................... 32
ix. Mitochondrial Dysfunction ............................................................................................... 34
x. Neurotransmission ................................................................................................................ 35
xi. Organic acids ........................................................................................................................... 36
xii. Pyrimidines ............................................................................................................................... 37
xiii. Hormone Metabolism ........................................................................................................... 37
xiv. Epsilon-trimethyllysine hydroxylase deficiency ..................................................... 37
xv. Urea cycle ................................................................................................................................. 38
xvi. Vitamins/co-factors .............................................................................................................. 38
c. Drug Metabolism .................................................................................................................................... 40
i. Risperidone ............................................................................................................................... 40
25
ii. Risperdal .................................................................................................................................... 40
iii. Ibuprofen ................................................................................................................................... 40
iv. Acetaminophen ...................................................................................................................... 40
v. Aspirin ......................................................................................................................................... 40
d. Functional Testing ................................................................................................................................. 40
i. Chemistries .............................................................................................................................. 40
ii. Mitochondrial Function ...................................................................................................... 41
iii. Organic Acids .......................................................................................................................... 41
iv. Amino Acids .............................................................................................................................. 44
v. Lipid Metabolism .................................................................................................................... 47
vi. Elemental Analysis ............................................................................................................... 47
vii. Vitamins and Metabolic Function .................................................................................. 48
viii. Metabolic and Essential Fatty Acids .............................................................................. 48
ix. Hormone Metabolism .......................................................................................................... 50
x. Gastrointestinal Function .................................................................................................. 50
xi. Detoxification Function ...................................................................................................... 51
xii. Immune function ................................................................................................................... 51
e. Mast Cell ...................................................................................................................................................... 56
f. Peptides....................................................................................................................................................... 56
g. Neurotoxins .............................................................................................................................................. 57
i. Heavy Metals ........................................................................................................................... 57
ii. Biotoxins ................................................................................................................................... 57
iii. Xenobiotics (man-made environmental toxins) and Food Preservatives .... 57
3. FAMILY TESTING ................................................................................................................................................................. 58
a. Mother ......................................................................................................................................................... 58
b. Father ........................................................................................................................................................... 58
c. Siblings ........................................................................................................................................................ 58
4. LIST OF ABBREVIATIONS ................................................................................................................................................ 60
5. REFERENCES ......................................................................................................................................................................... 63
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
Suggested Medical and Metabolic Assessments Useful for ASD
1. Evaluation Process
a. Physical Exam and History
i. When full metabolic evaluation should be performed:
1. Sleep: sleep disturbance, abnormal snoring, pauses in
breathing or instances of abnormally low breathing 17 18 19
2. Body weights: obesity (overweight) or underweight
3. Height, weight and head circumference 20
4. Eating/Feeding disorders: food aversion, narrow food
preferences, poor appetite, vomiting, appetite loss 21
5. Repetitive infections 22
6. MIA (maternal immune activation) risk factor to ASD like
behavior 23
7. Repetitive asthma event 24
8. Repetitive behaviors 25 26
9. "Allergic-like" symptoms 27
10. Gastrointestinal: Diarrhea and/or constipation, abdominal
discomfort, abnormal odor of stool 28
11. Hearing: Healing loss, sound sensitivity
12. Eyes: Light sensitivity, Blurred vision, yellowing of the eyes
13. Joint and Muscle: poor muscle tone, poor eye-hand
coordination, chewing/swallowing problems, pain
14. physical and motor problems 29 30
15. Abnormal body Sensitivities: Pain, tempters, touch
16. Autonomic disturbances: excessive sweating, poor circulation
17. Seizures 31 32
18. Skin: rashes, itches, bumps, color 33
19. Neonatal jaundice 34
20. Head Circumference: too large or too small 35
21. Hand and feet: cold hand and feet, soft and/or waved nail
27
22. Vitals: elevated heart rate, low/high blood presser, continuous
low-grade fever, low or high oxygen level
23. Increase incidence of allergies: Foods, inhalant, chemical, mold
24. Urine: Abnormal odors, dark color
25. Hair: Steely, spots of gray hair
26. Rapid breathing or shortness of breath
27. Family History: Metabolic Disease in maternal, paternal, and
siblings
28. Others as pediatricians feel necessary
With any developmental delay is occurring.
2. Diagnostic Testing
a. Metabolic Evaluation
i. Genetic Genotype/Phenotype Testing 36 37:
AANAT, ABCD1, ACAT1, ACE, ACP*1A, ACP1, ACSL4, ACTA, ADA,
ADCY5, ADNP, ADRB2, AGT, AGT1, AGTR1, AGTR2, AHCY, ALA, ALT,
ANoA, AP3B2, APO E2, APO E3, APO E4, APOC3, ARID1B, ASMT,
ASMT1, ASMTL, ATD, ATXN1, BCKDK, BCOR, BDNF 38, BHMT, BHMT2,
BMPR2, BRSK2, BRWD1, C2Oortf7, C4B 39, CACNA1D, CACNA1E,
CADPS2, CALCR, CBS, CCP1, CD19, CD36, CD44, CD8, CDC42BPB,
CDH10, CDH5, CDKL5, CETP, CHD3, CHD7, CHD8, CHDH, CNOT4,
CNTFR, CNTNAP1, CNTNAP2, COL1A1, COMT 40, CPT2, CTA1, CTH,
CTNNB1, CTT1, CUL3, CUL5DAT1, CYBA*8, CYBA, CYBB, CYP 1B1,
CYP1A1*2A, CYP1A1*2C, CYP1A1, CYP1A2, CYP1B1, CYP21A2,
CYP27B1, CYP2A6, CYP2C19*2, CYP2C19*3, CYP2C19, CYP2C9*2,
CYP2C9*3, CYP2D6 41 , CYP2D6*3, CYP2E1*5A, CYP3A4*17,
CYP3A4*1B, CYP3A4*3, CYP3A4, DHPR, DISC1, DLX1, DLX2, DNMT3B,
DR13, DRD2, DRD342 43, DSCR1, DVR, DYRK1A, Dyrk1a, EAAT3,
EHD2, eNOS, Factor I, Factor II, Factor V, FBXO10, FOXL2, FOXP1,
FOXP2, FTSJ1, G6PD, G6PDH, GABAᴀ 44, GABRA1 45, GABRA2,
GABRA4, GABRA5, GABRA6, GABRA6, GABRB1 46, GABRB1, GABRB3,
GABRB3, GABRD, GABRD, GABRG, GABRG, GABRG1, GABRG1,GABRG2,
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
GABRP, GABRR1, GABRR2, GAD 1, GAD 2, GAD, GATA3, GCH1, GCLC,
GCLM, GCPII, GDI1, GNB3, GNMT, GP3a, GP3APL(A), GPX1, GPX2,
GRIP1 47, GRIP2, GRM5 48, GSS, GSTM149, GSTO1, GSTP1, GPS1,
GRINL1A, HADH2, HCCS, HCE2 (CES2), HLA 50, HLA-A2, HLA-DR4,
HLA-DQ8, HMX1, HOXA1, HTR1D, HDGFRP2, HDLBP, HYR1, IFN-γ,
IFN-γ/α/β, IL-1 β 51, IL-2, IL-4, IL-5, IL-6 52, IL-8, IL-10, IL-12, IL-13,
IL-12p40, IL-12p70, IL-13, IL-17, IL-23, ITGA4, ITGB3, KATNAL2, LPL,
MAOA, MARK1, MAT, MCP-1, MDMA, MECP2, MERRF, MET 53, Mic B,
MIF, mMT-I, MnSOD, MS(MTR), MS-MTRR, MSR(MS_MTRR), MT,
MT1 (L/E), MT-2, MT3, MTF1, MTHFR 54 55, MTHFS, MT-ND1, MT-
ND2, MT-ND3, MT-ND4, MT-ND5, MT-ND6, MTR, MTRR, MT-T52,
MBD5, MDM2, MLL3, NLGN1, NOTCH3, NR4A2, NTNG1, NTNG1,
NADH2, NAPQI, NAT 1, NAT 2, NDUFA1, NDUFA11, NDUFAF2,
NDUFS1, NDUFS2, NDUFS4, NDUFS6, NNMT, NOS, NPY1, NPY5,
NRCAM, NTRK2, OTC, OXTR, OPRL1, PCDHB4, PDCD1, PSEN1, PTEN,
PTPRK PAI-1, PCV2a, PCV2b,56 PCBD1, PEMT, PITX1, PON1, PON2,
PPAR-g2, PTEN, PTS, QDPR, RELN, RFC1, RGMA, RORA 57, RPS6KA3,
RUVBL1, SESN2, SETBP1, SAHH (AHCY), SAM, SCN1A, SCN1B, SELE,
SELS (SEPS1), SHMT1, SLC19A3, SLC25A12, SLC40A1, SLC6A4,
SNRPN, SOD2, SOD2, SOD3, STK39, SUOX, SVF1, TCN2, TCOF1, TDF,
TGFBR1, TGFBR2, TGF-β 58, TGF-β1, TGIF, TH, TH-1, TH-2, TIMM8A,
TM4SF2 (TSPAN7), TMEM1, TMLHE, TNF – alpha, TPH1, TPH2 59 60,
UMPS, UPP1, VCX3A, VDR, ZnT1, α7nAChR 61, others.
ii. Genetic Disease Testing (secondary autism):
1. Genetic Disease with ASD like features including:
a. Celiac Disease 62
b. G6PD (Glucose-6-Phosphate Dehydrogenase)
Deficiencies
c. Mitochondria Disease
d. Pink Disease 63
e. Rett syndrome 64
f. Sickle Cell Anemia
29
g. Tourette syndrome 65
h. Wilson’s Disease
i. others
2. Genetic Disease with secondly ASD
a. Down’s Syndrome
b. Fragile X Syndrome
c. others
iii. IEM (Inborn Errors of Metabolism): 66
1. Abnormal intestinal permeability 67
2. BH4 deficiency 68
3. Biotin responsive basal ganglia disease
4. C4B deficiency 69
5. Carnitine palmitoyltransferase II deficiency (CPT-II)
6. Cerebral folate receptor deficiency
7. Co enzyme Q10 deficiency
8. Congenital intrinsic factor deficiency
9. Dysfunction of mitochondrial β-oxidation 70
10. Fatty aldehydes Sjögren–Larsson syndrome
11. Glucose transport & regulation (GLUT1) deficiency syndrome
12. Glucose-6-Phosphate Dehydrogenase deficiency
13. Hyperinsulinism hyperammonemia syndrome
14. Hyperphenylalaninemia 71
15. Imerslund Gräsbeck syndrome
16. Immune / Autoimmune Dysfunction 72 73 74
17. Lysosomal Gaucher disease
18. Menkes disease-occipital horn syndrome
19. Mitochondria dysfunction 75 76 77
20. Mitochondrial Oxidative Phosphorylation (OXPHOS)
Dysfunction
21. Neurotransmitters DHPR (Dihydropteridine reductase)
deficiency
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
22. peripheral blood (PB) monocytes and specific polysaccharide
antibody deficiency (SPAD) 78
23. Phenylketonuria 79
24. PHGDH deficiency: D-3-phosphoglycerate dehydrogenase
(serine deficiency)
25. PSAT deficiency: phosphoserine aminotransferase deficiency
(serine deficiency)
26. PSPH (phosphoserine phosphatase) deficiency (serine
deficiency)
27. PTPS (6 Pyruvoyl Tetrahydropterin Synthase) deficiency
(biopterin deficiency)
28. Pyridoxine dependent epilepsy
29. Smith–Lemli–Opitz Syndrome
30. SPR (Sepiapterin Reductase) deficiency
31. Thiamine-responsive encephalopathy
32. Tyrosine hydroxylase deficiency
33. Vitamins/co-factors Biotinidase deficiency
b. Metabolic Biomedical Phenotype Testing: 80 (a) OMIM#81, (b)
Biochemical deficiency, (c) Gene(s). Remark: l.o.: late-onset form, AD:
autosomal dominant, AR: autosomal recessive, Mt: mitochondrial
i. Amino Acids:
1. Branched-chain ketoacid dehydrogenase kinase deficiency
a. 614901
b. Branched-chain ketoacid dehydrogenase kinase
deficiency 82
c. BCKDK (16p11.2)
2. HHH syndrome (hyperornithinemia, hyperammonemia,
homocitrullinemia)
a. 238970
b. Ornithine translocase
c. SLC25A15 (AR)
3. l.o. Non-ketotic hyperglycinemia
31
a. 605899
b. Aminomethyltransferase/glycine
decarboxylase/glycine cleavage system H protein
c. AMT/GLDC/GCSH (AR)
4. Phenylketonuria
a. 261600
b. Phenylalanine hydroxylase
c. PAH (AR)
5. PHGDH deficiency (Serine deficiency)
a. 601815
b. Phosphoglycerate dehydrogenase
c. PHGDH (AR)
6. PSAT deficiency (Serine deficiency)
a. 610992
b. Phosphoserine aminotransferase
c. PSAT1 (AR)
7. PSPH deficiency (Serine deficiency)
a. 614023
b. Phosphoserine phosphatase
c. PSPH (AR)
8. Tyrosinemia type II
a. 276600
b. Cytosolic tyrosine aminotransferase
c. TAT (AR)
ii. Cholesterol & bile acids
1. Cerebrotendinous xanthomatosis
a. 213700
b. Sterol-27-hydroxylase
c. CYP27A1 (AR)
2. Smith–Lemli–Opitz Syndrome
a. 270400
b. 7-Dehydroxycholesterol reductase
c. DHCR7 (AR)
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
iii. Creatine
1. AGAT deficiency
a. 612718
b. Arginine: glycine amidinotransferase
c. GATM (AR)
2. Creatine transporter Defect
a. 300352
b. Creatine transporter
c. SLC6A8 (X-linked)
3. GAMT deficiency
a. 612736
b. Guanidino-acetate-N-methyltransferase
c. GAMT (AR)
iv. Fatty Acid Metabolism Disorders
1. Sjögren–Larsson syndrome
a. 270200
b. Fatty aldehyde dehydrogenase
c. ALDH3A2 (AR)
v. Glucose transport & regulation
1. GLUT1 deficiency syndrome
a. 606777
b. Glucose transporter blood–brain barrier
c. SLC2A1 (AR)
2. Hyperinsulinism hyperammonemia syndrome
a. 606762
b. Glutamate dehydrogenase superactivity
c. GLUD1 (AR)
vi. Hyperhomocysteinemia
1. Cobalamin C deficiency
a. 277400
b. Methylmalonyl-CoA mutase and
homocysteine :methyltetrahydrofolate
methyltransferase
33
c. MMACHC (AR)
2. Cobalamin D deficiency
a. 277410
b. C2ORF25 protein
c. MMADHC (AR)
3. Cobalamin E deficiency
a. 236270
b. Methionine synthase reductase
c. MTRR (AR)
4. Cobalamin F deficiency
a. 277380
b. Lysosomal cobalamin exporter
c. LMBRD1 (AR)
5. Cobalamin G deficiency
a. 250940
b. 5-Methyltetrahydrofolate-homocysteine, S-
methyltransferase
c. MTR (AR)
6. Homocystinuria
a. 236200
b. Cystathatione β-synthase
c. CBS (AR)
7. l.o. MTHFR deficiency
a. 236250
b. Methylenetetrahydrofolate reductase deficiency
c. MTHFR (AR)
vii. Lysosomes
1. α-Mannosidosis
a. 248500
b. α-Mannosidase
c. MAN2B1 (AR)
2. Aspartylglucosaminuria
a. 208400
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
b. Aspartylglucosaminidase
c. AGA (AR)
3. Aspartylglucosaminuria
a. 208400
b. Aspartylglucosaminidase
c. AGA (AR)
4. Gaucher disease type III
a. 231000
b. ß-Glucosidase
c. GBA (AR)
5. Hunter syndrome (MPS II)
a. 309900
b. Iduronate-2-sulfatase
c. IDS (X-linked)
6. Sanfilippo syndrome B (MPS IIIb)
a. 252920
b. N-acetyl-glucosaminidase
c. NAGLU (AR)
7. Sanfilippo syndrome C (MPS IIIc)
a. 252930
b. Acetyl-CoA glucosamine-N-acetyl transferase
c. HGSNAT (AR)
8. Sanfilippo syndrome D (MPS IIId)
a. 252940
b. N-acetyl-glucosamine-6-Sulfatase
c. GNS (AR)
9. Sly syndrome (MPS VII)
a. 253220
b. β-glucuronidase
c. GUSB (AR)
10. Niemann–Pick disease type C
a. 257220
b. Intracellular transport cholesterol & sphingosines
35
c. NPC1 NPC2 (AR)
viii. Metals
1. Aceruloplasminemia
a. 604290
b. Ceruloplasmin (iron homeostasis)
c. CP (AR)
2. Menkes disease/Occipital horn syndrome
a. 304150
b. Copper transport protein (efflux from cell)
c. ATP7A (AR)
3. Wilson disease
a. 277900
b. Copper transport protein (liver to bile)
c. ATP7B (AR)
ix. Mitochondrial Dysfunction 83
1. Co enzyme Q10 deficiency
a. 607426
b. Coenzyme Q2 or mitochondrial
parahydroxybenzoatepolyprenyltransferase;
aprataxin; prenyl diphosphate, synthase subunit 1;
prenyl diphosphate synthase subunit 2; coenzyme
Q8; coenzyme Q9
c. COQ2, APTX, PDSS1,PDSS2, CABC1, COQ9 (most AR)
2. MELAS
a. 540000
b. Mitochondrial energy deficiency
c. MTTL1, MTTQ, MTTH, MTTK, MTTC, MTTS1, MTND1,
MTND5,MTND6, MTTS2 (Mt)
3. PDH complex deficiency
a. OMIM# according to each enzyme subunit
deficiency:312170; 245348; 245349
b. Pyruvate dehydrogenase complex (E1α, E2, E3)
c. PDHA1 (X-linked),DLAT (AR), PDHX (AR)
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
4. Mitochondrial Elongation Factor G1
a. 609060
b. Combined oxidative phosphorylation deficiency 1
c. GFM1 (3q25.32)
5. Carnitine palmitoyltransferase II
a. 600649
b. palmitoyltransferase II Dificiency Infantile
c. CPT2 (1p32.3)
x. Neurotransmission
1. DHPR deficiency (biopterin deficiency)
a. 261630
b. Dihydropteridine reductase
c. QDPR (AR)
2. GTPCH1 deficiency (biopterin deficiency)
a. 233910
b. GTP cyclohydrolase
c. GCH1 (AR)
3. PCD deficiency (biopterin deficiency)
a. 264070
b. Pterin-4α-carbinolamine dehydratase
c. PCBD1 (AR)
4. PTPS deficiency (biopterin deficiency)
a. 261640
b. 6-Pyruvoyltetrahydropterin synthase
c. PTS (AR)
5. SPR deficiency (biopterin deficiency)
a. 612716
b. Sepiapterin reductase
c. SPR (AR)
6. SSADH deficiency
a. 271980
b. Succinic semialdehyde dehydrogenase
c. ALDH5A1 (AR)
37
7. Tyrosine Hydroxylase Deficiency
a. 605407
b. Tyrosine Hydroxylase
c. TH (AR)
xi. Organic acids:
1. 3-Methylcrotonyl glycinuria
a. GENE OMIM # 210200; 210210
b. 3-Methylcrotonyl CoA carboxylase (3-MCC)
c. MCC1/MCC2 (AR)
2. 3-Methylglutaconic aciduria type I
a. 250950
b. 3-Methylglutaconyl-CoA hydratase
c. AUH (AR)
3. β-Ketothiolase deficiency
a. 203750
b. Mitochondrial acetoacetyl-CoA thiolase
c. ACAT1 (AR)
4. Cobalamin A deficiency
a. 251100
b. MMAA protein
c. MMAA (AR)
5. Cobalamin B deficiency
a. 251110
b. Cob(I)alamin adenosyltransferase
c. MMAB (AR)
6. Ethylmalonic encephalopathy
a. 602473
b. Mitochondrial sulfur dioxygenase
c. ETHE1 (AR)
7. l.o. Glutaric acidemia I
a. 231670
b. Glutaryl-CoA dehydrogenase
c. GCDH (AR)
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
8. Glutaric acidemia II
a. 231680
b. Multiple acyl-CoA dehydrogenase
c. ETFA, ETFB, ETFDH (AR)
9. HMG-CoA lyase deficiency
a. 246450
b. 3-Hydroxy-3-methylglutaryl-CoA lyase
c. HMGCL (AR)
10. mHMG-CoA synthase deficiency
a. 605911
b. Mitochondrial 3-hydroxy-3-Methylglutaryl-CoA
synthase
c. HMGCS2 (AR)
11. l.o. Propionic acidemia
a. 606054
b. Propionyl-CoA carboxylase
c. PCCA/PCCB (AR)
12. SCOT deficiency
a. 245050
b. Succinyl-CoA 3-oxoacid CoA transferase
c. OXCT1 (AR)
xii. Pyrimidines
1. Pyrimidine 5-nucleotidase superactivity
a. 606224
b. Pyrimidine-5-nucleotidase Superactivity
c. NT5C3 (AR)
xiii. Hormone Metabolism
1. Smith-Lemli-Opitz syndrome (SLOS) 84
a. 270400
b. Smith-Lemli-Opitz syndrome
c. DHCR7
xiv. Epsilon-trimethyllysine hydroxylase deficiency 85
a. 300872, 209850 (Autism susceptibility 1)
39
b. Epsilon-trimethyllysine hydroxylase deficiency
c. TMLHE (Xq28)
xv. Urea cycle 86
1. l.o. Argininemia
a. 207800
b. Arginase 87
c. ARG1 (AR)
2. l.o. Argininosuccinic aciduria
a. 207900
b. Argininosuccinate lyase
c. ASL (AR)
3. l.o. CPS deficiency
a. 237300
b. Carbamoyl phosphate synthetase
c. CPS1 (AR)
4. Citrullinemia type II
a. 605814
b. Citrin (aspartate–glutamate carrier)
c. SLC25A13
5. l.o. NAGS deficiency
a. 237310
b. N-acetylglutamate synthetase
c. NAGS (AR)
6. l.o. OTC Deficiency
a. 311250
b. Ornithine transcarbamoylase
c. OTC (X-linked)
7. L.o. Citrullinemia
a. 215700
b. Argininosuccinate Synthetase
c. ASS1 (AR)
xvi. Vitamins/co-factors
1. Biotin responsive basal ganglia disease
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
a. 607483
b. Biotin transport
c. SLC19A3(AR)
2. Cerebral folate receptor-α deficiency
a. 613068
b. a.o. Cerebral folate transporter
c. FOLR1 (AR)
3. Congenital intrinsic factor deficiency
a. 261000
b. Intrinsic factor deficiency
c. GIF (AR)
4. Holocarboxylase synthetase deficiency
a. 253270
b. Holocarboxylase synthetase
c. HLCS (AR)
5. Imerslund Gräsbeck syndrome
a. 261100
b. IF-Cbl receptor defects (cubulin/amnionless)
c. CUBN & AMN (AR)
6. Molybdenum co-factor deficiency type A
a. 252150
b. Sulfite oxidase & xanthine dehydrogenase &
aldehyde oxidase
c. MOCS1, MOCS2, (AR)
7. Pyridoxine dependent epilepsy
a. 266100
b. Pyridoxine phosphate oxidase
c. ALDH7A1 (AR)
8. Thiamine responsive encephalopathy
a. 606152
b. Thiamine transport
c. SLC19A3 (AR)
9. Biotinidase deficiency
41
a. 253260
b. Biotinidase
c. BTD (AR)
c. Drug Metabolism:88
i. Risperidone
1. rs1176713 is a SNP, also known as g.14396A>G, in the 5-
hydroxytryptamine (serotonin) receptor 3A HTR3A gene
ii. Risperdal
1. rs8179183 is a SNP in the leptin receptor LEPR gene.
iii. Ibuprofen
1. SNP rs1057910(A), located in the cytochrome p450 CYP2C9,
CYP2C9*1. rs1057910(C), CYP2C9*3, Ile359Leu or A1075C,
iv. Acetaminophen
1. rs1467558(A;G)
v. Aspirin
1. rs5918(C), rs3798220
d. Functional Testing: 89 90
i. Chemistries:
1. Complete Blood Count (CBC) is a standard, broad screening
test used to check for disorders such as anemia, abnormal
clotting, and infection. CBC is performed on the blood: WBC,
RBC, Hemoglobin, Hematocrit, MCV, MCH, MCHC, RDW,
Platelet Count, MPV and Differential (Absolute and Percent -
Neutrophils, Lymphocytes, Monocytes, Eosinophils, and
Basophils), Ferritin
2. Basic Comprehensive Metabolic Panel (CMP) is a standard
panel of tests that provides important information about the
current status of the kidneys, liver, blood sugar, blood proteins,
and electrolyte and acid/base balance. CMP is performed on
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
the blood. Basic Metabolic Panel: Albumin, Albumin/Globulin
Ratio (calculated), Alkaline Phosphatase, ALT, AST,
BUN/Creatinine Ratio (calculated), Calcium, Carbon Dioxide,
Chloride, Creatinine with GFR Estimated, Globulin (calculated),
Glucose, Potassium, Sodium, Total Bilirubin, Total Protein,
Urea Nitrogen
ii. Mitochondrial Function
1. Acylcarnitines, blood plasma and whole blood 91
a. Carnetine
b. Acryl free carnitine ratio
2. Amino Acids, plasma
a. Alanine
b. Alanine/Lysine ratio
c. Glycine
d. Proline
e. Tyrosine
f. Sorcosine
3. OAT, urine
a. TCA intermediates
b. Ethylmalonate
c. 3- dimethyl glutaconate
d. Dicarboxylic acid
iii. Organic Acids: 92 93
1. General Indicators of Gastrointestinal Dysbiosis:
a. Citramalic Acid
b. 5-Hydroxy-methyl-furoic Acid
c. 3-Oxoglutaric Acid
d. Furan-2,5-dicarboxylic Acid
e. Furancarbonylglycine
f. Tartaric Acid
g. Arabinose
43
h. Carboxycitric Acid
i. Tricarballylic Acid
j. 2-Hydroxyphenylacetic Acid
k. 4-Hydroxyphenylacetic Acid
l. 4-Hydroxybenzoic Acid
m. Hippuric Acid
n. 4-Hydroxyhippuric Acid
o. 3-Indoleacetic Acid
p. HPHPA 94 (3-(3-hydroxyphenyl)-3-hydroxypropionic
acid)
q. 4-Cresol
r. DHPPA(dihydroxyphenylpropionic acid)
2. Oxalate Metabolism:
a. Glyceric Acid
b. Glycolic Acid
c. Oxalic Acid
3. Glycolytic Cycle Metabolites:
a. Lactic Acid
b. Pyruvic Acid
c. 2-Hydroxybutyric Acid
4. Krebs Cycle Metabolites:
a. Succinic Acid
b. Fumaric Acid
c. Malic Acid
d. 2-Oxoglutaric Acid
e. Aconitic Acid
f. Citric Acid
5. Neurotransmitter Metabolism:
a. HVA and VMA
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
b. 5-Hydroxyindoleacetic Acid
c. Quinolinic Acid
d. Kynurenic Acid (KYNA)
e. Quinolinic Acid / Kynurenic Acid Ratio
f. Quinolinic acid / 5-HIAA Ratio
6. Pyrimidine Metabolism:
a. Uracil
b. Thymine
7. Ketone and Fatty Acid Oxidation:
a. 3-Hydroxybutyric Acid
b. Acetoacetic Acid
c. 4-Hydroxybutyric Acid
d. Adipic Acid
e. Suberic Acid
f. Sebacic Acid
g. Ethylmalonic Acid
h. Methylsuccinic Acid
i. Nutritional Markers:
j. Methylmalonic Acid
k. Pyridoxic Acid
l. Pantothenic Acid
m. Glutaric Acid
n. valproic acid (Depakene), or celiac disease
o. Ascorbic Acid
p. 3-Hydroxy-3-methylglutaric Acid
q. N-Acetylcysteine Acid
r. Methylcitric Acid
8. Indicators of Detoxification:
a. Pyroglutamic Acid
b. Orotic Acid
45
c. 2-Hydroxyhippuric Acid
9. Amino Acid Metabolites:
a. 2-Hydroxyisovaleric Acid
b. 2-Oxoisovaleric Acid
c. 3-Methyl-2-oxovaleric Acid
d. 2-Hydroxyisocaproic Acid
e. 2-Oxoisocaproic Acid
f. Mandelic Acid
g. Phenyllactic Acid
h. Phenylpyruvic Acid
i. Homogentisic Acid
j. 4-Hydroxyphenyllactic Acid
k. N-Acetylaspartic Acid
l. Malonic Acid
m. Methylglutaric Acid
n. 3-Methylglutaconic
o. 3-Hydroxyglutaric
10. Bone Metabolism:
a. Phosphoric Acid
iv. Amino Acids:
1. Plasma Amino Acids:95
a. 1-Methylhistidine
b. 3-Methylhistidine
c. Alanine
d. Alpha-amino-N-butyric acid
e. Alpha-aminoadipic acid
f. Ammonia
g. Anserine (dipeptide)
h. Arginine
i. Argininosuccinic acid
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
j. Asparagine
k. Aspartic acid
l. Beta-alanine
m. Beta-aminoisobutyric acid
n. Carnosine (dipeptide)
o. Citrulline
p. Cyst(e)ine
q. Cystathionine
r. Ethanolamine
s. Gamma-aminobutyric acid
t. Glutamic acid
u. Glutamine
v. Glycine
w. Histidine
x. Homocystine
y. Hydroxyproline
z. Isoleucine
aa. Leucine
bb. Lysine
cc. Methionine
dd. Ornithine
ee. Phenylalanine
ff. Phosphoethanolamine
gg. Phosphoserine
hh. Proline
ii. Sarcosine
jj. Serine
kk. Taurine
ll. Threonine
mm. Tryptophan
nn. Tyrosine
oo. Urea
pp. Valine
47
2. Urine Amino Acids:
a. 1-Methylhistidine
b. 3-Methylhistidine
c. Alanine
d. Alpha-amino-N-butyric acid
e. Alpha-aminoadipic acid
f. Ammonia
g. Anserine (dipeptide)
h. Arginine
i. Argininosuccinic acid
j. Asparagine
k. Aspartic acid
l. Beta-alanine
m. Beta-aminoisobutyric acid
n. Carnosine (dipeptide)
o. Citrulline
p. Cyst(e)ine
q. Cystathionine
r. Ethanolamine
s. Gamma-aminobutyric acid
t. Glutamic acid
u. Glutamine
v. Glycine
w. Histidine
x. Homocystine
y. Hydroxyproline
z. Isoleucine
aa. Leucine
bb. Lysine
cc. Methionine
dd. Ornithine
ee. Phenylalanine
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
ff. Phosphoethanolamine
gg. Phosphoserine
hh. Proline
ii. Sarcosine
jj. Serine
kk. Taurine
ll. Threonine
mm. Tryptophan
nn. Tyrosine
oo. Urea
pp. Valine
v. Lipid Metabolism: 96
1. Total cholesterol:
a. LDL
b. HDL
2. Apolipoprotein A-I (Apo A-1)
3. Apolipoprotein B (Apo B)
4. Lipoprotein (a) (Lp (a))
5. Homocysteine
6. Triglycerides
vi. Elemental Analysis: 97
1. RBC 98: Boron, Chromium, Calcium, Copper, Iron, Magnesium,
Manganese, Molybdenum, Phosphorus, Potassium, Selenium,
Vanadium, Zinc
2. WBC: Calcium (Ca), Magnesium (Mg), Copper (Cu), Zinc (Zn),
Manganese (Mn), Lithium (Li), Selenium (Se), Strontium (Sr),
Molybdenum (Mo)
3. Serum Elements: Calcium, Magnesium, Sodium, Potassium,
Phosphorus, Iron
4. Urine: Barium, Boron, Calcium, Chromium, Cobalt, Copper,
Iron, Lithium, Magnesium, Manganese, Molybdenum,
49
Phosphorus, Potassium, Selenium, Sodium, Strontium, Sulfur,
Vanadium, Zinc, Zirconia
5. Hair 99: Calcium, Magnesium, Sodium, Potassium, Copper, Zinc,
Manganese, Chromium, Vanadium, Molybdenum, Boron,
Iodine, Lithium, Phosphorus, Selenium, Strontium, Sulfur,
Barium, Cobalt, Iron, Germanium, Rubidium, Zirconium; Ratios:
Calcium/Magnesium, Sodium/Potassium, Zinc/Copper,
Zinc/Cadmium, Calcium/Phosphorus
vii. Vitamins and Metabolic Function : 100 101
1. CoQ10
2. Folic Acids 102
3. Vitamin A
4. Vitamin B:
a. Vitamin B1 (Thiamine)
b. Vitamin B3 (Niacin)
c. Vitamin B6 (Pyridoxine)
d. Vitamin MeB12 (Methylcobalamin)
5. Vitamin C
6. Vitamin D: 103
a. Vitamin D, 25-OH, Total
b. Vitamin D, 25-OH, D3
c. Vitamin D, 25-OH, D2
7. Vitamin E
8. Vitamin H (Biotin)
9. Vitamin K
viii. Metabolic and Essential Fatty Acids: 104 105
1. Total Saturated
2. Total Monounsaturated
3. Total Polyunsaturated
4. Total Omega 3
5. Total Omega 6
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
6. Total Fatty Acids
7. Omega 3 Series:
a. Alpha-Linolenic
b. Eicosapentaenoic
c. Docosapentaenoic
d. Docosahexaenoic
8. Omega 6 Series:
a. Linoleic
b. Gamma-Linolenic
c. Dihomo-Gamma-Linolenic
d. Arachidonic
e. Docosapentaenoic
f. Docosatetraenoic
9. Omega 9 Series
a. Eicosatrienoic
10. Monosaturated Series
a. Lauroleic
b. Myristoleic
c. Palmitoleic
d. Hexadecenoic
e. Vaccenic
f. Oleic
g. Nervonic
11. Saturated: Caprylic, Lauric, Myristic, Palmitic, Stearic,
Arachidic, Docosanoic, Tetracosanoic, Hexacosanoic
12. Branched-chain: Pristanic, Phytanic
13. Ratios: Triene-to-Tetraene
14. Behenic
15. Elaidic
16. Margaric
17. Nervonic
18. Pentadecanoic
51
ix. Hormone Metabolism:
1. Thyroid 106 107 108
a. Free T3
b. Free T4
c. Reverse T3
d. TSH
2. Plasma Leptin 109
3. Melatonin (N-acetyl-5-methoxytryptamine) 110
4. Growth Hormone 111
a. IGF-1
b. IGF-2
c. IGFBP-3
d. Growth hormone binding protein (GHBP)
e. dehydroepiandrosterone (DHEA)
f. DHEA sulphate (DHEAS)
x. Gastrointestinal Function: 112
1. Intestinal Permeability 113
2. Comprehensive Digestive Stool Analysis: 114
a. Bacteriology Culture, aerobic
b. Bacteriology Culture, aerobic x 3
c. Bacteriology Culture, anaerobic
d. Beneficial SCFAs
e. Beta-Glucuronidase
f. Bile Acids
g. Calprotectin
h. Cryptosporidium EIA
i. Deoxycholic Acid
j. Entamoeba histolytica
k. Eosinophil Protein X (EPX)
l. Giardia lamblia EIA
m. LithoCholic Acid
n. Pancreatic Elastase
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
o. Parasite Identification, Concentrate Prep
p. Parasite Identification, Trichrome Stain
q. Putrefactive SCFAs
r. Yeast Culture
s. n-Butyrate %
t. pH
u. Clostridium difficile Toxin A and B
v. H. pylori Stool Antigen
w. Shiga Toxin E. coli
xi. Detoxification Function: 115
1. Total Oxidant Level
2. Uric Acid:
a. Uric Acid Urine
b. Uric Acid Blood
3. Glutathione 116 117 118:
a. Total Glutathione
b. Reduced Glutathione
c. Peroxidase Glutathione (GPX)
4. Superoxide Dismutase (SOD)
5. Cysteine/Sulfate Ratio
6. Cysteine/Cystine Ratio
7. Melatonin
8. Glucose-6-Phosphate Dehydrogenase (G6PD) 119
9. Metallothionein antibodies (anti-MT)
a. antinuclear antibodies against nucleolar antigens
(ANoA)
b. antilaminin antibodies (ALA)
c. antibodies to metallothionein protein (anti-MT)
xii. Immune function 120
1. Immune Deficiencies: 121
a. Immunoglobulins IgA, IgM, IgE, IgG
53
b. IgG Subclasses 1, 2, 3 and 4
c. Monoclonal antibodies 122
d. B Lymphocyte Antigen D8/17 123
2. AutoImmune 124
a. plasma progranulin 125
b. Serum Neurokinin A / Anti-ribosomal P protein
antibodies 126
3. Allergies 127
a. Food Allergies 128
i. IgE Antibodies: Almond, Adzuki Bean, Almond,
Apple, Apricot, Asparagus, Avocado, Banana,
Barley, Beef, Beet, Blueberry, Broccoli,
Buckwheat, Cabbage, Cane Sugar, Carrot,
Casein, Cashews, Celery, Cheese, Chicken,
Coconut, Cod Fish, Cocoa, Coffee, Corn, Crab,
Cranberry, Eggplant, Egg White, Egg Yolk, Flax,
Garbanzo Bean, Garlic, Gluten, Goat’s Milk
Cheese, Grape, Grapefruit, Green Bean, Green
Pepper, Halibut, Hazelnut, Honey, Kidney Bean,
Lamb, Lemon, Lentil, Lettuce, Lima Bean,
Lobster, Mango, Milk, Millet, Mushroom, Oat,
Onion, Orange, Papaya, Pea, Peach, Peanut,
Pear, Pecan, Pineapple, Pinto Bean, Pistachio,
Plum, Pork, Potato, Pumpkin, Radish, Raisin,
Rice, Rye, Salmon, Sardine, Sesame, Shrimp,
Soybean, Spinach, Strawberry, Sunflower,
Sweet Potato, Tomato, Turkey, Tuna, Walnut,
Watermelon, Wheat, Whey, Yogurt, Yeast
(Bakers), Yeast (Brewers), Zucchini
ii. IgG Food Antibodies: Abalone, Almond, Apple,
Apricot, Asparagus, Avocado, Baker’s Yeast
(Saccharomyces cerevisiae), Bamboo Shoot,
Banana, Barley, Beef, Black Pepper, Bonito,
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
Buckwheat, Burdock (Gobo), Beet, Blueberry,
Brewer’s Yeast (Saccharomyces cerevisiae),
Broccoli, Buckwheat, Cherry, Chestnut, Chicken,
Clam, Cocoa, Coconut, Coffee, Corn, Crab,
Cucumber, Curry Powder, Cabbage, Candida
albicans, Cane Sugar, Carrot, Cashews, Casein,
Celery, Cheese, Chicken, Cod fish, Cranberry,
Duck, Eggplant, Egg White, Egg Yolk, Flax,
Garbanzo Beans, Garlic, Ginger, Gliadin, Goat’s
Milk Cheese, Grape, Grapefruit, Green Bean,
Green Pepper, Green Tea, Halibut, Hazelnut,
Honey, Jack Mackerel, Kiwi, Kombu (Kelp),
Kidney Bean, Lamb, Lemon, Lentil, Lettuce,
Laver (Nori), Lotus Root, Lima bean, Lobster,
Mackerel, Mango, Melon, Miso, Milk, Millet,
Mozzarella Cheese, Mushroom, Mushroom-
Enoki, Mushroom-Shiitake, Mustard, Oat, Olive,
Onion, Oolong Tea, Orange, Oyster, Pacific
Saury, Papaya, Pea, Peach, Peanut, Pear, Pecan,
Pineapple, Pinto Bean, Pistachio, Plum (Prune),
Pork, Potato, Pumpkin, Radish, Radish-Daikon,
Red Pepper, Rice, Rye, Salmon, Sardine,
Seaweed (Wakame), Sesame, Shrimp, Sorghum,
Soybean, Spinach, Squid, Strawberry,
Sunflower, Sweet Potato, Tomato, Tuna, Vanilla
Bean, Turkey, Wheat Gluten, Walnut,
Watermelon, Wheat, Whey, Yogurt
iii. Spices IgG: Allspice – IgG, Basil – IgG, Bay leaf
– IgG, Black Pepper – IgG, Cayenne Pepper –
IgG, Cinnamon – IgG, Cloves – IgG, Cumin – IgG,
Curry – IgG, Dill – IgG, Fennel seed – IgG,
Ginger – IgG, Horseradish – IgG, Marjoram –
55
IgG, Mustard – IgG, Nutmeg – IgG, Oregano –
IgG, Paprika – IgG, Parsley – IgG, Peppermint –
IgG, Rosemary – IgG, Sage – IgG, Thyme – IgG,
Total IgG, Vanilla – IgG
iv. IgE Inhalant Allergies: Alder Tree- IgE,
Australian Pine Tree- IgE, Bahia Grass- IgE,
Bermuda Grass- IgE, Birch Tree- IgE, Brome
Grass- IgE, Canary Grass- IgE, Cat dander- IgE,
Cocklebur- IgE, Cockroach- IgE, Common
Ragweed- IgE, Cottonwood Tree- IgE,
Cultivated Oat Grass- IgE, Dandelion- IgE, Dog
dander- IgE, Elm Tree- IgE, English Plantain-
IgE, Eucalyptus Tree- IgE, Giant Ragweed- IgE,
Johnson Grass- IgE, June Grass (Kentucky
Blue)- IgE, Lamb's quarters- IgE, Maple Tree-
IgE, Mesquite Tree- IgE, Mite Generic- IgE,
Mold Generic- IgE, Mountain Cedar Tree- IgE,
Nettle- IgE, Oak Tree- IgE, Olive Tree- IgE,
Orchard Grass- IgE, Pecan Tree- IgE, Perennial
Rye Grass- IgE, Red Top- IgE, Rough Marsh
Elder- IgE, Rough Pigweed- IgE, Russian
Thistle- IgE, Scale- IgE, Sweet Vernal Grass- IgE,
Timothy Grass- IgE, Total IgE, Walnut Tree- IgE,
Western Ragweed- IgE, White Mulberry Tree-
IgE
4. Inflammation
a. Acute-phase reaction (APR) markers
i. C-Reactive Protein (CRP)
ii. S100 protein
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
5. Opiate Receptors: Gluten / Casein Peptides 129
a. Gliadorphin (peptide from wheat)
b. Casomorphin (peptide from dairy)
6. Infection (blood test): 130
a. Virus:131
i. Polyomaviruses
1. BK virus (BKV) 132
2. Cytomegalovirus (CMV)
3. Epstein Barr virus (EBV)
4. Human Herpes Virus-6 (HHV-6)
5. Human Herpes Virus-7 (HHV-7)
6. JC virus (JCV)
7. Simian virus 40 (SV40) 133
8. Varicella-Zoster virus (ZVZ)
9. PCV2b
10. Herpes simplex virus type 1 (HSV-1)
11. Herpes simplex virus type 2 (HSV-2)
ii. Retroviruses
iii. Rubeola/Measles Edmonston Strain
Inactivated Cell Extract
b. Bacteria:
i. Mycoplasma pneumonia
ii. Chlamydia pneumonia 134
iii. Toxoplasma gondii
iv. Group A β-hemolytic Streptococci (GABHS) 135
1. DNase antibodies in serum (ADB)
2. Antistreptolysin O titer (ASO)
c. Vector-Born:136
i. Borrelia burgdorferi c6 peptide antibodies by
ELISA
ii. Lyme disease Western blot
57
d. Mycology:
i. Aspergillus fumigatus
7. Plasma Chemokines 137
e. Mast Cell 138
i. Corticotropin-releasing hormone (CRH)
ii. mitochondrial DNA, IgE/anti-IgE
iii. 24 hours to measure vascular endothelial growth factor (VEGF)
release by ELISA or for 6 hours or quantitative PCR
f. Peptides
i. Neuropeptides / Brain Inflammation (13 amino acid
neuropeptide)
1. Neurotensin (NT) 139
ii. Beta-amyloid peptide
iii. Beta-Amyloid Precursor Protein 140
1. Tau,
2. Tubulin
3. Synuclein
4. Amyloid Precursor Protein (APP) 141
5. Apo E
6. AD/PD related Proteins
7. Calmodulin
8. (sAPP-α ELISA)142
iv. Monoclonal Antibodies
1. Beta Amyloid
2. Tubulin
3. Tau and Related proteins
g. Neurotoxins 143
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
i. Heavy Metals: 144 145 146
1. Porphyrins: 147
a. Coproporphyrin I and III (CP)
b. Heptacarboxy (7-CP)
c. Hexacarboxy (6-CP)
d. Pentacarboxy (5-CP)
e. Precoproporphyrin (PreCP)
f. Uroporphyrins (UP)
2. Hair 148 149: Aluminum 150, Antimony, Arsenic, Beryllium,
Bismuth, Cadmium, Lead, Mercury, Platinum, Thallium,
Thorium, Uranium, Nickel, Silver, Tin, Titanium
3. RBC: Arsenic, Cadmium, Lead, Mercury, Thallium
4. WBC: Arsenic (As), Barium (Ba), Cadmium (Cd), Cobalt (Co),
Lead (Pb), Mercury (Hg), Nickel (Ni), Platinum (Pt), Silver (Ag),
Thallium (Tl), Uranium (U)
5. Urine 151: Aluminum, Antimony, Arsenic, Beryllium, Bismuth,
Cadmium, Lead, Mercury, Nickel, Platinum, Thallium, Thorium,
Tin, Tungsten, Uranium
6. Spot Urine: Urine protein to creatinine ratio (PrCP) 152
7. Fecal: Antimony, Arsenic, Beryllium, Bismuth, Cadmium,
Copper, Lead, Mercury, Nickel, Platinum, Thallium, Tungsten,
Uranium
ii. Biotoxins: Biotoxins are poisons that come from plants or animals.
mold, black mold, tetanus toxin, botulinum toxin,
ascaridin (from intestinal parasites), unspecified toxins
from streptococci, staphylococci, lyme disease 153,
clamydia, tuberculosis, fungal toxins and toxins
produced by viruses
iii. Xenobiotics (man-made environmental toxins) and Food
Preservatives: 154
59
Thimerosal155, Bisphenol A (BPA), Oxybenzone, Parabens,
Phthalates, Butylated Hydroxyanisole (BHA),
Perfluorooctanoic Acid (PFOA), Perchlorate,
Decabromodiphenyl Ether (DECA), Asbestos, The Hazards
Lurking at Home, Oxybenzone, Fluoride, Parabens,
Phthalate, Butylated Hydroxyanisole (BHA),
Perfluorooctanoic Acid (PFOA), Perchlorate,
Decabromodiphenyl Ether (DECA), Asbestos, The Hazards
Lurking at Home, dioxin, phthalates, formaldehyde,
insecticides, wood preservatives, Polychlorinated biphenyl
(PCB)156, Polybrominated diphenyl ethers (PBDEs) 157,
Pesticide 158, aspartame, caramel colorings, fluoride,
methyl-and propyl-paraben, etc.
3. Family Testing
a. Mother 159
i. Metabolism Genes: MTHFR, COMT, MTRR, BHMT, FOLR2, CBS, TCN2,
etc. 160
ii. Genotype and Phenotype Genetic Tests: 161
iii. Neuroinflammation 162
iv. Drug Metabolism (Pregnancy) 163
v. Comprehensive Metabolic Analysis 164
1. Organic Acids 165
vi. Heavy Metals:
1. Mercury 166
2. Lead 167
vii. Essential Minerals 168
viii. Vitamins
1. Folic Acids 169
2. Vitamin D 170 171
ix. Vitamins and Minerals (Prenatal Vitamins) 172
x. Xenobiotics173 174
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
xi. Infection 175 176
xii. Antioxidants
1. Glutathione 177
b. Father
i. Genotype and Phenotype genetic testing 178 179
ii. Infection 180
c. Sibling(s) 181
i. Genotype and Phenotype genetic testing 182
61
4. List of abbreviations
4-AA: 4-aminoantipyrine
5-CP:. Pentacarboxy
5-HT: serotonin
5'-IMP: 5'-inosine monophosphate
5'-NT: 5'-nucleotidase
6-CP: Hexacarboxy
7-CP: Heptacarboxy
AD Alzheimer’s disease
ADA: adenosine deaminase
Ag: Silver
APO A-1 Apolipoprotein A-I
APO B Apolipoprotein B
As: Arsenic
ASD Autism spectrum disorders
Ba: Barium
BBB Blood brain barrier
BHA: Butylated Hydroxyanisole Perfluorooctanoic Acid
BKV: BK virus
BPA: Thimerosal , Bisphenol A
Ca: Calcium
Cd: Cadmium
CMV: Cytomegalovirus
CNS Central nervous system
Co: Cobalt
CP: Coproporphyrin
CPS-1: carbamoyl phosphate synthetase-1
Cr: creatine
CRP: C-reactive protein
Cu: Copper
DECA: Decabromodiphenyl Ether
EBV: Epstein Barr virus
EHSPT: N-ethyl N-(2-hydroxy-3-sulfopropyl)-3-methylaniline
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
FAP functional abdominal pain
GABA: gamma-aminobutyric acid
GDH: glutamate dehydrogenase
GERD gastroesophageal reflux disease
GFCF gluten-free, casein-free
Gln: glutamine
Glu: glutamate
GRADE Grading of Recommendations Assessment, Development, and
Evaluation
GS: glutamate synthase
GSH: Glutathione
H2O2: hydrogen peroxide
Hg: Mercury
HHV-6: Human Herpes Virus-6
HHV-7: Human Herpes Virus-7
HPLC: high-performance liquid chromatography
HSV-1: Herpes simplex virus type 1
HSV-2: Herpes simplex virus type 2
IBS irritable bowel syndrome
IDO Indoleamine 2,3-dioxygenase
Ig immunoglobulin
IL Interleukin
JCV: John Cunningham Virus
Li: Lithium
Lp (a) Lipoprotein (a)
MeB12: Methylcobalamin
Mg: Magnesium
Mn: Manganese
Mo: Molybdenum
MPTP: mitochondrial permeability transition pore
mtCK: mitochondrial creatine kinase
Ni: Nickel
NLH nodular lymphoid hyperplasia
63
NMDA N-Methyl-D-aspartic acid
NO: nitric oxide
NOS not otherwise specified
OTC: Ornithine Transcarbamylase
PANDAS Pediatric autoimmune diseases associated with strep
Pb: Lead
PBDEs: Polybrominated Diphenyl Ethers
PCB: Polychlorinated Biphenyl
PCr; phosphorylcreatine
PCV2a: Porcine circovirus genotype 2a
PCV2b: Porcine circovirus genotype 2b
PDD pervasive developmental disorder
PFOA: Perfluorooctanoic Acid
PLS LYME patients with prior treatment and persistent symptoms
PNP: Purine Nucleoside Phosphorylase
POD: peroxidase
PreCP: Precoproporphyrin
Pt: Platinum
Redox Reduction-Oxidation
Se: Selenium
SIV: Simian Immunodeficiency Virus
Sr: Strontium
SV40: Simian Virus 40
Tl: Thallium
TNF Tumor necrosis factor
U: Uranium
UP: Uroporphyrins
XOD: xanthine oxidase
Zn: Zinc
ZVZ: Varicella-Zoster virus
α-KG: α-ketoglutaric acid
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
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76 Poling JS, Frye RE, Shoffner J, Zimmerman AW. (2006)
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77 Jacqueline R. Weissman, Richard I. Kelley, Margaret L. Bauman,
Bruce H. Cohen, Katherine F. Murray, Rebecca L. Mitchell, Rebecca L. Kern,
Marvin R. Natowicz (2008) Mitochondrial Disease in Autism Spectrum
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78 Harumi Jyonouchi, Lee Geng, Deanna L Streck, and Gokce A
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profiling of peripheral blood (PB) monocytes in children with autism
spectrum disorders (ASD) and specific polysaccharide antibody
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79 Sabrina Baieli, Lorenzo Pavone, Concetta Meli, Agata Fiumara, Mary
Coleman: (2003) Autism and Phenylketonuria: Journal of Autism and
Developmental Disorders: Vol. 33, No. 2, April 2003
80 Valerie W. Hu, Tewarit Sarachana, Kyung Soon Kim, AnhThu
Nguyen, Shreya Kulkarni, Mara E. Steinberg, Truong Luu, Yinglei Lai, and
Norman H. Lee: (2009) Gene Expression Profiling Differentiates
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83 Richard E. Frye and Daniel A. Rossignol (2012) Mitochondrial
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84 Diaz-Stransky A, Tierney E. (2012) Cognitive and behavioral
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85 Patrícia B. S. Celestino-Soper,Sara Violante, Emily L. Crawford, Rui
Luo, Anath C. Lionel, Els Delaby, Guiqing C, Bekim Sadikovic, Kwanghyuk
Lee, Charlene Lo, Kun Gao, Richard E. Person, Timothy J. Moss, Jennifer R.
German, Ni Huang,i Marwan Shinawi, Diane Treadwell-Deering, Peter
Szatmari, l Wendy Roberts, Bridget Fernandezn Richard J. Schroer, Roger
E. Stevenson, Joseph D. Buxbaum, Catalina Betancur, Stephen W. Scherer,
Stephan J. Sanders Daniel H. Geschwind, James S. Sutcliffe, Matthew E.
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86 Johannes Häberle, Nathalie Boddaert, Alberto Burlina, Anupam
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Martinelli, Pablo Sanjurjo Crespo, René Santer, Aude Servais1 Vassili
Valayannopoulos, Martin Lindner, Vicente Rubio, and Carlo Dionisi-Vici
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87 Işιk Görker and Ümran Tüzün (2005) Autistic-like findings
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88 Kevin G. Becker and Stephen T. Schultz: (2010) Similarities in
features of autism and asthma and a possible link to acetaminophen
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89 Cubala-Kucharska M.(2010) The review of most frequently
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90 Mary Randolph-Gips and Pramila Srinivasan (2012) Modeling
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91 Millington DS, Stevens RD.(2011) Acylcarnitines: analysis in
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92 G Oliveira MD, L Diogo MD, M Grazina MSc, P Garcia MD, A Ataíde
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93 James B Adams, Tapan Audhya, Sharon McDonough-Means, Robert
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Nutritional and metabolic status of children with autism vs.
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94 Shaw W: (2010) Increased urinary excretion of a 3-(3-
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79
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95 James B Adams, Tapan Audhya, Sharon McDonough-Means, Robert
A Rubin, David Quig, Elizabeth Geis, Eva Gehn, Melissa Loresto, Jessica
Mitchell, Sharon Atwood, Suzanne Barnhouse, and Wondra Lee (2011)
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96 Aneja A, Tierney E. (2008) Autism: the role of cholesterol in
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97 James B Adams, Tapan Audhya, Sharon McDonough-Means, Robert
A Rubin4 David Quig, Elizabeth Geis, Eva Gehn,1 Melissa Loresto,1 Jessica
Mitchell, Sharon Atwood, Suzanne Barnhouse,and Wondra Lee: (2011)
Effect of a vitamin/mineral supplement on children and adults with
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98 Renee Dufault, Roseanne Schnoll, Walter J Lukiw, Blaise LeBlanc,
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99 Eleonor BLAUROCK-BUSCH; Omnia R. AMIN; Hani H.
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100 S Jill James, Stepan Melnyk, George Fuchs, Tyra Reid, Stefanie
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101 Stacey Cornish and Lewis Mehl-Madrona: (2008) The Role of
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102 S Jill James, Stepan Melnyk, George Fuchs, Tyra Reid, Stefanie
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103 Gehan A Mostafa and Laila Y AL-Ayadh: (2012) Reduced serum
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104 Stephen Bent,Kiah Bertoglio, Paul Ashwood, Alan Bostrom, and
Robert L. Hendren: (2011) A Pilot Randomized Controlled Trial of
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105 Afaf K El-Ansary, Abir G Ben Bacha, and Layla Y Al- Ayahdi: (2011)
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106 Craig J. Newschaffer,Lisa A. Croen,Julie Daniels,Ellen Giarelli,udith
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107 Cynthia A. Molloy, Ardythe L. Morrow, Jareen Meinzen-Derr,
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Sally Rogers, Marian Sigman, M. Anne Spence, Helen Tager-Flusberg, Fred
R. Volkmar, and Catherine Lord: (2006) Familial Autoimmune Thyroid
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108 Sloane J. Freeman, MD, Wendy Roberts, MD and Denis Daneman,
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109 Paul Ashwood, Christina Kwong, Robin Hansen, Irva Hertz-
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110 A. K. BALTACI and R. MOGULKOC, Department of Physiology,
Meram Medical School, Selcuk University, Konya, Turkey (2007)
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111 Mills JL, Hediger ML, Molloy CA, Chrousos GP, Manning-Courtney P,
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112 Williams BL, Hornig M, Buie T, Bauman ML, Cho Paik M, Wick I,
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113 P D'Eufemia, M Celli, R Finocchiaro, L Pacifico, L Viozzi, M
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114 James B Adams, Leah J Johansen, Linda D Powell, David Quig, and
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115 Penelope AE Main, Manya T Angley, Catherine E O'Doherty, Philip
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117 Yusra A Al-Yafee, Laila Y Al- Ayadhi, Samina H Haq, and Afaf K El-
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119 Al-Salehi SM, Ghaziuddin M: (2008) G6PD deficiency in autism: a
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120 Yubin Zhang, Donghong Gao, Valerie J. Bolivar, and David A.
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121 Connolly AM, Chez MG, Pestronk A, Arnold ST, Mehta S, Deuel RK.
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122 Vijendra K. Singh Sheren X. Lin Elizabeth Newell Courtney Nelson
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123 Reda M., Fahmy H.(2007) B lymphocyte Antigen D8/ 17 in
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124 Gehan A. Mostafaa, Abeer A. Shehab (2010) The link of C4B null allele to
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125 Laila Y AL-Ayadhi and Gehan A Mostafa (2011) Low plasma
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126 Gehan A Mostafaand Laila Y AL-Ayadhi (2011) The possible link
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127 Angelidou A, Alysandratos KD, Asadi S, Zhang B, Francis K, Vasiadi
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128 Martí LF. (2010) Effectiveness of nutritional interventions on
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129 Pennesi CM, Klein LC. (2012) Effectiveness of the gluten-free,
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130 Afaf K El-Ansary, Abir G Ben Bacha, and Laila Y Al-Ayadhi (2011)
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131 Lintas C, Altieri L, Lombardi F, Sacco R, Persico AM (2010)
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132 Christine Winter, Teri J. Reutiman, Timothy D. Folsom, Reinhard
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133 Antonio M Persico (2010) Polyomaviruses and autism: more
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134 Carlo Contini, Silva Seraceni, Rosario Cultrera, Massimiliano
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135 Jason Tan, Christine H. Smith, MB BS, and Ran D. Goldman, MD
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136 Aristo Vojdani, Frank Hebroni, Yaniv Raphael, Jonathan Erde and
Bernard Raxlen (2007) Novel Diagnosis of Lyme Disease: Potential for
CAM Intervention: eCAM 2009;6(3)283–295
137 Ashwood, Krakowiak, Hertz-Picciotto, Hansen, Isaac N. Pessah,
Judy Van de Water (2011) Associations of impaired behaviors with
elevated plasma chemokines in autism spectrum disorders: Journal
of Neuroimmunology, Volume 232, Issue 1 , Pages 196-199, March 2011
138 Shahrzad Asadi and Theoharis C Theoharides (2012)
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139 Asimenia Angelidou, Konstantinos Francis, Magdalini Vasiadi,
Konstantinos-Dionysios Alysandrato, Bodi Zhang, Athanasios
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Theoharides, Lefteris Lykouras, Kyriaki Sideri, Dimitrios Kalogeromitros,
and Theoharis C Theoharides (2010) Neurotensin is increased in serum
of young children with autistic disorder: J Neuroinflammation. 2010; 7:
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140 Antoinette R. Bailey, Brian N. Giunta, Demian Obregon, William V.
Nikolic, Jun Tian, Cyndy D. Sanberg, Danielle T. Sutton, and Jun Tan (2008)
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141 Jerzy Wegiel, Janusz Frackowiak, Bozena Mazur-Kolecka, N.
Carolyn Schanen, Edwin H. Cook, Jr., Marian Sigman,W. Ted Brown,
Izabela Kuchna, Jarek Wegiel, Krzysztof Nowicki, Humi Imaki, Shuang
Yong Ma, Abha Chauhan, Ved Chauhan, David L. Miller, Pankaj D. Mehta,
Michael Flory, Ira . Cohen, Eric London, Barry Reisberg, Mony J. de Leon,
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142 Laila Y Al- Ayadhi, Abir G Ben Bacha, Malak Kotb, and Afaf K El-
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143 Rodney R. Dietert, Janice M. Dietert, and Jamie C. Dewitt (2011)
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144 Eleonor BLAUROCK-BUSCH, Omnia R. AMIN, Hani H. DESSOKI,
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Hair and Severity of Symptoms among Children with Autism: Maedica
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145 Matthew Garrecht and David W. Austin (2011) The plausibility of
a role for mercury in the etiology of autism: a cellular perspective:
Toxicol Environ Chem. 2011 May-Jul; 93(5-6): 1251–1273.
146 Raymond F. Palmer, Steven Blanchard, Zachary Stein, David
Mandell, Claudia Miller (2006) Environmental mercury release, special
education rates, and autism disorder: an ecological study of Texas:
Health & Place 12 (2006) 203–209
147 James S. Woods, Sarah E. Armel, Denise I. Fulton, Jason Allen,
Kristine Wessels, P. Lynne Simmonds, Doreen Granpeesheh, Elizabeth
Mumper, J. Jeffrey Bradstreet, Diana Echeverria, Nicholas J. Heyer, and
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148 Al-Farsi YM, Waly MI, Al-Sharbati MM, Al-Shafaee MA, Al-Farsi OA,
Al-Khaduri MM, Gupta I, Ouhtit A, Al-Adawi S, Al-Said MF, Deth RC.(2012)
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149 Eleonor Blaurock-Busch, Omnia R. Amin, Hani H. Dessoki, Thanaa
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150 Shaw CA, Petrik MS.(2009) Aluminum hydroxide injections
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151 Eleonor BLAUROCK-BUSCH, Omnia R. AMIN, and Thanaa RABAH
(2011) Heavy Metals and Trace Elements in Hair and Urine of a
Sample of Arab Children with Autistic Spectrum Disorder: Maedica
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152 Matthew Garrecht and David W. Austin (2011) The plausibility
of a role for mercury in the etiology of autism: a cellular perspective:
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153 Kuhn M, Grave S, Bransfield R, Harris S. (2012) Long term
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154 Renee Dufault, Walter J Lukiw, Raquel Crider, Roseanne Schnoll,
David Wallinga, and Richard Deth (2012) A macroepigenetic approach
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155 Martyn A. Sharpe, Andrew D. Livingston, and David S. Baskin
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Human Astrocytes: Possible Role of Fenton Chemistry inthe
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156 Isaac N. Pessah, Richard F. Seegal, Pamela J. Lein, Janine LaSalle,
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89
157 Irva Hertz-Picciotto, Åke Bergman, Britta Fängström, Melissa Rose,
Paula Krakowiak, Isaac Pessah, Robin Hansen, and Deborah H Bennett
(2011) Polybrominated diphenyl ethers in relation to autism and
developmental delay: a case-control study: Environ Health. 2011; 10: 1.
158 Janie F. Shelton, Irva Hertz-Picciotto, and Isaac N. Pessah (2012)
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159 Mostafa I. Waly, Mady Hornig, Malav Trivedi, Nathaniel Hodgson,
Radhika Kini, Akio Ohta, and Richard Deth: (2012) Prenatal and
Postnatal Epigenetic Programming: Implications for GI, Immune, and
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160 Rebecca J. Schmidt, Robin L. Hansen, Jaana Hartiala, Hooman
Allayee, Linda C. Schmidt, Daniel J. Tancredi, Flora Tassone, and Irva
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161 Judith S. Nijmeijer, Catharina A. Hartman, Nanda N.J. Rommelse,
Marieke E. Altink, Cathelijne J.M. Buschgens, Ellen A. Fliers, Barbara
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162 Andrew W. Zimmerman, Susan L. Connors, Karla J. Matteson, Li-
Ching Lee, Harvey S. Singer, Julian A. Castaneda, David A. Pearce (2007)
Addendum I - Suggested Medical and Metabolic Assessments Useful for ASD
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163 Johnson WG, Buyske S, Mars AE, Sreenath M, Stenroos ES,
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164 Krakowiak P, Walker CK, Bremer AA, Baker AS, Ozonoff S, Hansen
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165 Rebecca J. Schmidt, Robin L. Hansen, Jaana Hartiala, Hooman
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166 Sharon K. Sagiv, PhD, MPH; Sally W. Thurston, PhD; David C.
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167 Adrienne S. Ettinger, ScD, MPH, Anne Guthrie Wengrovitz, MPH,
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Addendum II
Epigenetics and Clinical Origen of Behaviors to
Optimizing Health of ASD Patients
Research and Clinical Research Direction
Dr. Cassandra L. Smith Professor, Biomedical Engineer, Biology and Experimental Therapeutics and Pharmacology, Boston University Director of Research, Athena Biomedical Institute
Kazuko Grace Athena Biomedical Institute [email protected] 617-500-5980 www.athenabiomedicalinstitute.org
A Paradigm Shift in Diagnosing and Treating ASD patients: Autism is a Treatable Medical and Metabolic Disease with Behavioral Components Prepared Statement: Congressional Autism Hearing November 29, 2012 Last updated January 31, 2013
Dr. Cassandra L. Smith Professor, Biomedical Engineer, Biology and Experimental Therapeutics and Pharmacology, Boston University Director of Research, Athena Biomedical Institute [email protected]
Kazuko Grace Athena Biomedical Institute www.athenabiomedicalinstitute.org
(Addendum II) Epigenetics and Clinical Origen of Behaviors to Optimizing Health of ASD Patients Research and Clinical Research Direction
Epigenetics and Clinical Origen of Behaviors to
Optimizing Health of ASD Patients:
Research and Clinical Research Direction
Addendum II
Cassandra L. Smith, and Kazuko Grace
Boston University and Athena Biomedical Institute
Abstract: Autism remains a complex disorder that resists the best efforts of
dedicated clinicians, researchers, educators and families seeking cause(s),
robust diagnostic criteria and most importantly effective treatments and
preventive measures. Clinical research is directed towards understanding cause
and effect relationship and the established scientifically proven therapeutic
treatments.i Our goal is to develop state-of -the-art diagnostic assessment
protocols and individualized treatment regimes for patients with autism and
related disorders that are consistent with available but admittedly complex data.
The best effort must include input from a variety of individuals including
patients and caregivers who are excluded generally from medical and scientific
discussion to improve diagnosing, treating and managing patients. This aspect is
especially problematic in neurobehavioral diseases. The expert group needs to
include computer scientist and system biologists who are expert at handling and
analyzing complex datasets.
96
Introduction: This document is being provided as a starting point for discussion
for how to improve the lives of autism patients and their families. We hope the
discussion will include the collective experiences of clinicians, staff, patients and
families. Towards this end, we encourage the Oversight Committee to support:
1. The formation of a group of working committees composed not only of
researchers and clinicians but also parents, staff, and patients to tackle
the demanding task of formulating new approaches (diagnosis, treatment
and management) to autism based on what might seem to be a
bewildering array of research results. This community effort requires the
participation of computer scientists, and system biologist used to
handling large datasets. The results of each of groups should be made
publically available.
2. The development of a publically available database with various
research and clinical results from individual studies from anonymized
patients.
3. The development of a reference set of anonymized patient samples
that will be publically available, and where individuals wanting to analyze
the samples agree to testing the entire reference set and to put results
into the public domain.
Today, autism is defined primarily by behaviors symptoms. Current diagnostic
strategies are observational in focus, but include: extensive medical history and
physical exam, non-specific evaluations such as intelligence, language and
achievement testing. Specific autism inventories and questionnaires that are age
specific, such as the Autism Diagnostic Observation Scales (ADOS), Autism
Diagnostic Inventory (ADI) and others. Diagnosis depends on the observational
and clinical skills of the examiner.
Medical testing such as MRI or CT scans, EEG’s, blood and urine tests, and
genetic tests are done primarily to rule in, or out, any contributing medical
disorders. Diagnosis is based on pooling all of the acquired information resulting
in a diagnostic impression. Similar diagnostic strategies are used for virtually all
mental health and developmental disorders.
1) What causes autism and the increase incidence of disease?
Autism has many underlying etiologies difficulties. Autism is not a single
disorder like Down's syndrome that is due to a single cause, chromosome 21
trisomy. Instead, autism is the pathological outcome of variety of assaults on the
(Addendum II) Epigenetics and Clinical Origen of Behaviors to Optimizing Health of ASD Patients Research and Clinical Research Direction
developing brain. Many different etiologies have been linked to an increase in
autism including genetic predispositions, rare genetic diseases, infectious agents,
nutrition and exposures to toxins.
Although research worldwide is identifying factors that contribute to autism,
we need better integration of results in order to improve understanding of
disease presentation in individuals. Likewise a better understanding and
integration of factors linked to autism can reduce the increasing incidence of
autism. Autism is linked to many genetic and environmental factors, as are other
common diseases.
Much progress has been made in understanding the genetic liabilities with
over one hundred genes linked to autism. However, these findings have had
little affect on patient treatment or outcome. Further, changes in diagnostic
criteria proposed in DMS-V are putting rare genetic diseases with precise causes
under the umbrella of autism subtracting rather than increasing our knowledge
of disease.
Research into toxicity mechanisms is ongoing although not to the same level
of organization and intensity as genetics. Immune system abnormalities,
infectious diseases, dietary problems, and adverse environmental exposures are
all areas that are being studied as well. Many of these issues overlap factors
linked to other common diseases that do not appear to be increasing.
2) How to improve diagnosis of autism?
Without knowing the causes, we are left with a diagnosis based on behavior,
and this is fraught with inconsistencies, and is at best an inexact science. At
present there is no useful set of markers to aid diagnosis, or screen families for
risk factors for developing autism. Instead a robust diagnostic and predictive
tool that combines testing of factors linked to autism needs to be established.
3) What treatments make a significant difference to autism patients?
Our current treatment strategies are focused on behavioral outcomes. The
many and varied medical and metabolic aspects of disease need to be carefully
and scientifically assessed for each patient and where necessary treated.
98
Parents have instituted treatment regimes that are not scientific proven, but
have been reported to improve the health and behavior of autism patients. All
treatments should be monitored scientifically whether nutritional or otherwise
non-conventional so that the best information is available for what treatments
are most effective for which subsets of patients. This type of understanding only
comes about through cooperation between clinicians, researchers, caregivers,
families and patients.
Theranostics approach to autism: Here, we advocating for what some have
called a theranostic medicine approach. This approach includes a portmanteau
of diagnostic testing and the development of individualized treatment regimes.
Research is tell us that making inroads into autism and other serious
neurobehavioral disorders will require theranostic approaches, although clearly
all patients will benefit from a change in attitude. ii
Ten million DNA differences between any two individual representing only 1%
of the genome. However, we are all aware that there are significant differences
in humans. These genetic differences lead to variations in obvious phenotypes
such as height, skin color, and ethnic/racial characteristics and how we respond
to medications and even foods. Two major areas of personalized medicine are
pharmacogenomics and nutritional genomics.iii
Pharmacogenomics: One form of personalized medicine involves
pharmacogenomics. This is a branch of pharmacology which deals with how
inherited genetic variations influence the body’s response to medications by
correlating single-nucleotide polymorphisms to a drug’s efficacy or toxicity. Just
as genetic variation can determine hair color, there are genetic variants that
determine how an individual metabolizes specific medicines. For example,
mutations may cause certain drugs may stay in one person's body longer than
usual lead to serious side effects. Alternatively, another mutation will make the
same medication less potent in other individuals.
An additional concern is the affect of xenobiotic metabolism on metabolic
process indirectly through the production of oxidative stress. Xenobiotic
metabolism will produce reactive oxygen species and induce oxidative stress
directly. Further, xenobiotic metabolism will produce oxidative stress indirectly
because this process itself requires energy, and may impair mitochondrial
function. The primary source for energy metabolism in the cell is the
mitochondria. Energy production will increase the level of reactive oxygen
species. Excess activity of an enzyme like a P450 enzyme located within the
mitochondrial membrane will interfere with energy production.
The treatment of patients is slowly changing. Today, before diagnosis and
even a single dose of medication, a simple DNA test could reveal the medication
(Addendum II) Epigenetics and Clinical Origen of Behaviors to Optimizing Health of ASD Patients Research and Clinical Research Direction
and dose to be used in a particular patient. Personalized medicine will also help
in adjusting pharmaceutical dose. Genetic testing can aid the design and
application of better drugs in the pharmaceutical arena and decrease medical
costs.
Most important, medicine will move into a new era where patients are no longer
guinea pigs that are subjected to trial and error with toxic drugs.iv v This is
especially important for patients with neurobehavioral disorders like
schizophrenia that are subjected to one severe treatment regime after another.
The outcome is eventual improvements in a minority, and increased resistance
to drug treatment in a majority of patients.
“As the field advances, we expect to see more efficient clinical trials based on a
more thorough understanding of the genetic basis of disease. We also anticipate
that some previously failed medications will be recognized as safe and effective and
will be approved for subgroups of patients with specific genetic markers.”
-Margaret Hamburg, M.D.
Commissioner, U.S. Food and Drug Administration
-Francis Collins, M.D., Ph.D.
Director, National Institutes of Health
(The Case for Personalized Medicine, 3rd Edition 2011)
Nutritional Genomics: Nutritional imbalances are observed in many disease
including: aging, alcoholism/substance abuse, behavioral disorders, cancer,
cardiovascular diseases, chronic fatigue, deafness, diabetes, immune disorders,
macular degeneration, multiple sclerosis, neurological disorders, osteoporosis,
Parkinson's, and stroke. The basic premise of nutritional genomics is that
dietary recommendations based on our understanding of nutrient-gene
interactions will be important for the management of complex chronic diseases.
For example, 5,10 Methylenetetrahydrofolate reductase (MTHFR) is a key
enzyme that directs folate (vitamin B12) obtained from food towards DNA and
RNA synthesis, the synthesis of key metabolites: S-adenosyl methionine,
homocysteine, cysteine, glutathione, and methylation of the dopamine receptor
D4. S-adenosyl methionine is the second most used metabolite in the cell after
ATP the major energy transducer produced in the mitochondria. Glutathione is
the major intracellular antioxidant and increasing evidence links oxidative stress
to autism. Homocysteine is the major metabolite shared by these pathways. In
some cells, dietary choline can substitute for folate at least for the production of
S-adenosyl methionine, homocysteine, and glutathione. These pathways
100
required other nutrients that must be obtained from the diet such as vitamin B6,
B9, and methionine.
Genetic variations in the MTFHR (C677T and A677T) code for enzymes with
lower levels of activity. Lower activity of the MTHFR enzyme as well as low
levels of vitamins B12 and B6 leads to increased levels homocysteine linked to
many diseases, including autism, schizophrenia, neural tube defect,
cardiovascular disease, and cancer. Folate deficiencies during pregnancy are
linked to increased incidence of schizophrenia and autism in offspring. Further,
in some cases treatment of schizophrenia patients with folate improves
psychotic symptoms. The idea that nutrition is important in neurobehavioral
diseases was advocated by 50 years ago by Linus Pauling the only individual to
receive two undivided Nobel prizes.
Summary: Research examining a reference set of individuals with a large
variety of biochemical, and medical, and molecular tests should enable
improvements in patient's health. This is a combination of research and clinical
research approach, and requires the input of system biology approaches to
integrate large and complex data sets.
Clinicians have many years of training and experience in medicine and
sometimes research. Researchers have vast knowledge in basic and in some
cases applied science but generally do not treat patients. As important as these
experts are, caregivers, patients and families have personal experiences with
autism, and can make important observations from their own experiences that
often provide direction for treatment and research strategies.
The treatment of neurobehavioral disorders is difficult and involves
knowledge across many fields including psychology, behavior, education,
nutrition, research, medicine, genetics, physical/occupational therapy, and
computer science. There is no one individual who is or can be an in all these
areas. Instead, respective expertise must be shared in an environment that is
conducive to trust and mutual respect. Then, we can make inroads into the
development of best practices for the evaluation and treatment of individuals
struggling with consequences of autism.
(Addendum II) Epigenetics and Clinical Origen of Behaviors to Optimizing Health of ASD Patients Research and Clinical Research Direction
References:
i B. M. Lester, C. J. Marsit, E. Conradt, C. Bromer and J. F. Padbury (2012)
Behavioral epigenetics and the developmental origins of child mental health
disorders: Journal of Developmental Origins of Health and Disease (DOHaD) pp
1-14
ii Davide Brambilla(2012) Polymeric nanoparticles as original theranostic
approach for alzheimer‟s disease: Lundi 18 Juin 2012, 12:47:13
iii W. Gregory Feero, M.D., Ph.D., Editor, Alan E. Guttmacher, M.D., Editor (2012)
Genomic Medicine — An Updated Primer: N Engl J Med 2010; 362:2001-2011
iv President's Council of Advisors on Science and Technology (2008) Priorities
for Personalized Medicine : PRESIDENT’S COUNCIL OF ADVISORS ON SCIENCE
AND TECHNOLOGY
v The Care for Personalized Medicine, Third Edition (2009) Personalized
Medicine Coalition
Page 1
Prepared Statement of Dr. Cassandra L. Smith
Professor, Biomedical Engineer, Biology and
Experimental Therapeutics and Pharmacology, Boston University
Director of Research, Athena Biomedical Institute
Kazuko Grace Athena Biomedical Institute
www.athenabiomedicalinstitute.org Original: November 29th, 2012, Last updated January 31, 2013
Developing a New Diagnostic and Treatment Paradigm for Autism
Autism is a Treatable Medical and Metabolic Disease with Behavioral Components