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Pharmacogenetics to Pharmaco-omics Precision Medicine and Drug Response Richard Weinshilboum, M.D. Dasburg Professor of Cancer Genomics Research Professor of Pharmacology and Medicine Mayo Clinic College of Medicine and Science Mayo Clinic, Rochester, MN, USA

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  • Pharmacogenetics to Pharmaco-omicsPrecision Medicine

    andDrug Response

    Richard Weinshilboum, M.D.Dasburg Professor of Cancer Genomics Research

    Professor of Pharmacology and MedicineMayo Clinic College of Medicine and Science

    Mayo Clinic, Rochester, MN, USA

    http://www.pharmacometabolomics.org/

  • Pharmacogenetics to Pharmaco-omicsPrecision Medicine

    andDrug Response

    • Introduction• Pharmacogenetics• Pharmacogenomics• Pharmaco-omics• Conclusions

  • Application of “omic” science to study variation in drug response phenotypes.

    Critical component of Precision Medicine.

    Pharmacogenetics to Pharmaco-omicsPrecision Medicine

    andDrug Response

  • Evolution ofPharmacogenetics-Pharmaco-omics

    Pharmacogenetics(candidate genes)

    Pharmacogenomics(genome-wide studies)

    Pharmaco-omics(Multiple “omics”)

  • Goals• Avoid adverse drug reactions• Maximize drug efficacy• Select responsive patients• Drugs as molecular probes

    Pharmacogenetics to Pharmaco-omicsPrecision Medicine

    andDrug Response

  • Pharmacogenetics to Pharmaco-omicsPrecision Medicine

    andDrug Response

    • Introduction• Pharmacogenetics• Pharmacogenomics• Pharmaco-omics• Conclusions

  • Julie Axelrod

  • CatecholamineBiosynthesis and Metabolism

    Dopamine β-Hydroxylase

    HO

    HO CHCH2NH2

    HO

    HO CH

    OH

    CH2NH2DBH

    Dopamine Norepinephrine

  • CatecholamineBiosynthesis and Metabolism

    Dopamine Catabolism

    3,4-Dihydroxy-phenylacetaldehyde

    3-Methoxy-tyramine

    Dopamine

    SULT1A3MAO

    HO

    HO

    Dopamine-3-O-Sulfate

    HO

    HO3SO

    CH2CH2NH2 HO

    HO

    CH2CHO HO

    CH3O

    CH2CH2NH2

    CH2CH2NH2

    COMT

    PAPS

    PAP

    SAM

    SAH

  • DBH and COMTSib-Sib Correlations

    DBH COMT

    Science 181: 943-45, 1973 Nature 242: 490-491, 1974

    R=0.57P

  • Plasma DHB Pedigrees

    Am J Hum Genet. 1975 Sep; 27(5): 573–585

  • COMTFrequency Distribution

    Thermal Stability and Genotype

    Lachman et al, Pharmacogenetics 6:243-50, 1996

    COMT Polymorphisms – 1947 Publications by 2017

  • ©2016 MFMER | slide-15

    Metabolism of 6-Mercaptopurine

    N

    N

    N

    NH

    SH

    N

    N

    N

    NH

    SCH3

    N

    N

    N

    NH

    SH

    HO

    OH

    N

    N

    N

    NH

    SCH3

    OHOH

    Xanthine Oxidase(XO)

    ThiopurineMethyltransferase

    (TPMT)

    XO TPMT

    2,8-Dihydroxy-6-Methylmercaptopurine

    AdoHcy

    AdoHcy

    AdoMet

    AdoMet

  • ©2016 MFMER | slide-16

    Human RBC TPMT

    10

    5

    00 5 10 15 20

    TPMT Activity, Units/ml RBC

    298 Unrelated Adults

    TPMTH/TPMTH

    TPMTL/TPMTH

    TPMTL/TPMTL

    % O

    f Sub

    ject

    s Pe

    r0.

    5 U

    nits

    of A

    ctiv

    ity298 Unrelated Adults

    Amer. J. Human Genetics, 32:651-62,1980

  • Pharmacogenetics to Pharmaco-omicsPrecision Medicine

    andDrug Response

    • Introduction• Pharmacogenetics• Pharmacogenomics• Pharmaco-omics• Conclusions

  • SSRIPharmacogenomics

    and Pharmaco-omics

    Variation in SSRI Therapeutic Outcomesand

    SSRIs as Molecular Probesfor MDD Molecular Mechanisms

  • ©2016 MFMER | slide-19

    Mayo-NIH PGRN SSRIPharmaco-omics Research Program

    Pharmacometabolomics Pharmacogenomics

    Replication

    Discovery StudyMayo PGRN SSRI

    Clinical Trial

    STAR*D PGRN ISPC

  • Week 0• Consent

    • Clinical assessment

    • Start at escitalopram 10 mg or citalopram 20 mg

    • DNA and baseline metabolomics blood draw

    Week 4• Clinical assessment

    • Potential dose increase to 20 mg or 40 mg, depending on symptoms.

    • Blood draw for metabolomic and plasma drug level assays

    Week 8• Clinical assessment

    • Blood draw for metabolomic and plasma drug level assays

    Follow-up phone call at Weeks 24

    Mayo PGRN Citalopram-Escitalopram Clinical Trial

  • QIDS-C16 Score

    Baseline8 weeks

    Num

    ber o

    f Sub

    ject

    s at

    bot

    h Ba

    selin

    e an

    dLa

    st V

    isit

    Eval

    uatio

    ns

    Mayo PGRN Citalopram-EscitalopramClinical Trial Outcomes

    No DepressionBaseline n=0

    Last visit n=212

    MildSymptoms

    Baseline n=40Last visit n=173

    ModerateSymptoms

    Baseline n=216Last visit n=56

    SevereSymptoms

    Baseline n=172Last visit n=21

    Very SevereSymptoms

    Baseline n=35Last visit n=1

  • Adherent EA PatientsCharacteristic and Measure Last visit (N = 499) 8 weeks (N = 398)

    DemographicsAge 39.91 (±13.8) 40.64 (±13.5)Female gender 312 (62.5%) 255 (64.1%)Clinical CharacteristicsQIDS-C Baseline 15.08 (±3.47) 14.99 (±3.31)QIDS-C Week 4 8.46 (±4.41) 8.34 (±4.41)QIDS-C Week 8 6.24 (±4.05) 6.24 (±4.05)HAMD Baseline 22.31 (±5.08) 22.09 (±4.92)Baseline MedicationCitalopram 155 (31.2%) 124 (31.2%)Escitalopram 342 (68.8%) 274 (68.8%)OutcomesRemitter (QIDS ≤ 5) 206 (41.3%) 198 (49.7%)Response (%QIDS ≤ 50%) 287 (57.5%) 274 (68.8%)

    Mayo PGRN SSRI Clinical TrialInitial 529 Patients

    Ji et al., Pharmacogenomics J. 2013 13(5):456-63.

  • Citalopram Biotransformation

    Ji, et al. Brit J. Clin. Pharmacology. 78.2, 373-383, 2014

  • Citalopram Pharmacokinetic GWAS

    Ji, et al. Brit J. Clin. Pharmacology. 78.2, 373-383, 2014

    CYP2C19 CYP2D6

  • MDD and SSRIPharmacogenomics

    GoalsBiomarkers for

    SSRI Pharmacokineticsand

    SSRI Pharmacodynamicsand

    SSRI Mechanisms

  • SSRI ResponsePharmacogenomic GWAS

    Lack of Replication• Possible explanation- phenotypic

    heterogeneity• Possible approach- use

    pharmacometabolomics to inform genomics

  • Pharmacogenetics to Pharmaco-omicsPrecision Medicine

    andDrug Response

    • Introduction• Pharmacogenetics• Pharmacogenomics• Pharmaco-omics• Conclusions

  • ©2016 MFMER | slide-29

    MetabolomicsInformed PGx

    Genomics

    Transcriptomics

    Proteomics

    Metabolomics

    Clinical Phenotypes

  • LCECA Metabolomics

    Mayo PGRN Citalopram-Escitalopram

    Clinical Trial

    • 918 patient samples (290 subjects, 3 timepoints)

    • 37 LCECA metabolites assayed• Dr. Wayne Matson, Bedford, MA

  • Challenges

    Plasma Pharmacometabolomics

    • Merging metabolomics and genome-wide genomics

    • Relationship of peripheral metabolites to CNS function

  • Pharmacometabolomics Informed Pharmacogenomics

  • Plasma Serotonin and Change in Plasma Serotonin were Associated with SSRI

    Clinical Response

    4 weeks 8 weeks 4 weeks 8 weeks 4 weeks 8 weeks

    Baseline p = 0.012 p = 0.028 p = 0.007 p = 0.047 p = 0.015 p = 0.019

    Changes after 4 weeks p = 0.011 p = 0.041 p = 0.026 p = 0.060 p = 0.021 p = 0.024

    Changes after 8 weeks p = 0.069 p = 0.147 p = 0.037 p = 0.130 p = 0.041 p = 0.06

    Remssion Response % ChangeClinical OutcomesPlasmaSerotonin

    Association of Plasma Serotonin Concentrationwith Clinical Outcomes in Mayo Study

    Remission: post-treatment QIDS < 5 or HAMD < 7.Response: >50% reduction in QIDS or HAMD.

    Gupta M.*, Neavin D.*, Liu D.*, et al. Mol Psychiatry. 2016 Dec;21(12):1717-1725(* Co-first Authors.)

    Sheet1

    RemssionResponse% Change

    4 weeks8 weeks4 weeks8 weeks4 weeks8 weeks

    Baselinep = 0.012 p = 0.028 p = 0.007 p = 0.047 p = 0.015 p = 0.019

    Changes after 4 weeksp = 0.011 p = 0.041 p = 0.026 p = 0.060 p = 0.021 p = 0.024

    Changes after 8 weeksp = 0.069 p = 0.147 p = 0.037 p = 0.130 p = 0.041 p = 0.06

  • Plasma Serotonin ConcentrationsAfter SSRI Therapy

    • Plasma Serotonin concentrations, and change in plasma serotonin, were highly associated with SSRI outcomes.

    • Higher baseline serotonin and greater change were both associated with better SSRI outcomes.

    Gupta M.*, Neavin D.*, Liu D.*, et al. Mol Psychiatry. 2016 Dec;21(12):1717-1725(* Co-first Authors.)

  • Serotonin-Kynurenine Balanceand

    Major Depressive Disorder

    L-Tryptophan

    Serotonin

    (SerotoninNeurotransmission)

    Kynurenine

    (GlutamateNeurotransmission)

  • ERICH3p = 9.28E-08

    Chromosome Position (BP)

    -log

    10 (p

    Valu

    e)

    1 2 3 4 5 6 7 8 9 10 11 12 1314 16 18 20 22

    15 17 19 21 23

    2

    3

    4

    5

    6

    7

    8

    Baseline Plasma Serotonin GWASTSPAN5

    p = 7.84E-09

    Gupta M.*, Neavin D.*, Liu D.*, et al. Mol Psychiatry. 2016 Dec;21(12):1717-1725(* Co-first Authors.)

  • Baseline Serotonin Concentrations by ERICH3 and TSPAN5 SNP Genotypes

    Gupta M.*, Neavin D.*, Liu D.*, et al. Mol Psychiatry. 2016 Dec;21(12):1717-1725(* Co-first Authors.)

  • ERICH3 and TSPAN5 Locus Zoom Plots

    Gupta M.*, Neavin D.*, Liu D.*, et al. Mol Psychiatry. 2016 Dec;21(12):1717-1725(* Co-first Authors.)

  • TSPAN5 GTEx Tissue ExpressionR

    PKM

  • ERICH3 GTEx Tissue ExpressionR

    PKM

  • TSPAN5 SNPs are cis-eQTLs

    Gupta M.*, Neavin D.*, Liu D.*, et al. Mol Psychiatry. 2016 Dec;21(12):1717-1725(* Co-first Authors.)

  • Tryptophan Pathway

    L-Tryptophan

    5-OH tryptophan

    Serotonin

    Formyl-kynurenine

    3-OH Kynurenine

    Kynurenine

    Quinolinic Acid

    TPH 1/2

    DDC

    Kynurenic Acid

    KATIII

    IDO/TDO2

    Multiple Steps

    5-OH Indole acetic acid Melatonin

    AANAT

    ASMT

    KFA

    MAO(A/B)

    KMO

  • ©2016 MFMER | slide-43

    SK-N-BE(2) Neuroblastoma cellsEx

    pres

    sion

    fold

    cha

    nge

    SLC6

    A4

    TPH

    1

    TPH

    2

    DDC

    MAO

    A

    MAO

    B

    HTR1

    A

    HTR3

    A

    HTR3

    B

    HTR6

    HTR7

    SLC1

    8A2

    *

    *

    *** **** *

    *P < 0.05; **P < 0.005N=3; Mean+SEM

    *

    TSPAN5 Knockdown (72 hrs)TSPAN5 Over-expression (72 hrs)

    TSPAN5 Function

    Gupta M.*, Neavin D.*, Liu D.*, et al. Mol Psychiatry. 2016 Dec;21(12):1717-1725(* Co-first Authors.)

  • ERICH3 nsSNP Expression

    WT

    ERICH3

    GAPDH

    GAPDH

    ERICH3

    DM

    SOM

    G13

    23M

    AD

    MSO

    MG

    132

    3MA

    DM

    SOM

    G13

    23M

    AD

    MSO

    MG

    132

    3MA

    EVL1056V P264A

    L1056V + P264A

    WT

    EV

    L1056V P264AL1056V + P264A

    Gupta M.*, Neavin D.*, Liu D.*, et al. Mol Psychiatry. 2016 Dec;21(12):1717-1725(* Co-first Authors.)

  • Culture Media Serotonin ERICH3 and TSPAN5 KD and OE

    SerotoninConcentration

    KD and OEEfficiency

    SK-N-BE(2) Neuroblastoma Cells

  • PGRN-AMPS ISPC STAR*D

    rs11580409 (ERICH3 ) 0.16 0.022 0.041

    SSRI Response at Four or Six WeeksP Values

    PGRN-AMPS: Mayo Clinic Pharmacogenomics Research Network-Antidepressant Medication Pharmacogenomics Study

    ISPC: International SSRI Pharmacogenomics ConsortiumSTAR*D: Sequenced Treatment Alternatives to Relieve Depression

    ERICH3 SNPs and Clinical Outcomes in SSRI GWAS

    Gupta M.*, Neavin D.*, Liu D.*, et al. Mol Psychiatry. 2016 Dec;21(12):1717-1725(* Co-first Authors.)

    Sheet1

    PGRN-AMPSISPCSTAR*D

    rs11580409 (ERICH3)0.160.0220.041

  • Tryptophan Pathway

    L-Tryptophan

    5-OH tryptophan

    Serotonin

    Formyl-kynurenine

    3-OH Kynurenine

    Kynurenine

    Quinolinic Acid

    TPH 1/2

    DDC

    Kynurenic Acid

    KATIII

    IDO/TDO2

    Multiple Steps

    5-OH Indole acetic acid Melatonin

    AANAT

    ASMT

    KFA

    MAO(A/B)

    KMO

  • Association of HAMD Scores with Baseline Metabolite Concentrations

    Metabolite r P-value PathwayKynurenine -0.157 0.008 Tryptophan3-Hydroxykynurenine -0.143 0.015 TryptophanCysteine -0.134 0.023 CysteineMethionine 0.106 0.072 MethionineSerotonin -0.099 0.093 TryptophanGuanosine 0.099 0.095 Purine5-Hydroxytrptophan 0.098 0.097 Tryptophan(+)-delta-Tocopherol 0.094 0.112 AntioxidantsXanthosine 0.097 0.159 PurineSalicylic Acid -0.082 0.163 Phenylalanine

  • Baseline Plasma KYN GWAS

  • Baseline Plasma KYN GWAS

  • Baseline Plasma Kynurenine

  • 36 AA; 3.9 KDa

    DEFB1: Beta-Defensin 1

    Nat Rev Microbiol. 2006 Jul;4(7):529-36.

    Nature 2011 Jan 20;469(7330):309-10

    (LPS)

    • Constitutively expressed in epithelial cells;

    • Functions in anaerobic environment.

    Oxidized Reduced

    DEFB1 (shown in purple) Antimicrobial Peptides

    DEFB1 Function

  • DEFB1 SNP Association with Severity of MDD Symptoms

    QIDS-SC

    SNP Gene p Value Beta p Value Beta

    rs2702877 DEFB1 1.74E-04 0.9422 1.25E-05 1.5987

    Mayo-PGRN AMPS

  • DEFB1 and KYN Pathway Functional Genomics in Monocytic Cells

    K/TTRPKYN

    IDO1 TDO2

  • AHR and KYN Pathway Functional Genomics in HepaRG Cells

    C

  • AHR and KYN Pathway Functional Genomics in U87 MG Cells

    CBA

  • Pharmacogenetics to Pharmaco-omicsPrecision Medicine

    andDrug Response

    • Introduction• Pharmacogenetics• Pharmacogenomics• Pharmaco-omics• Conclusions

  • Mayo-UIUC-NSF Center for Computational

    Biotechnology and Genomic Medicine (CCBGM)

    Predictive Algorithm -SSRI ResponseMen• QIDS: 72%• HAMD: 68%

    Women• QIDS: 80%• HAMD: 95.8%

    Using both Clinical Symptoms and Metabolomics

    Arjun Athreya

  • April 29, 2013“In a few weeks the APA will release…DSM-5. Unlike our definitions of ischemic heart disease, lymphoma or AIDS, the DSM diagnoses are based on a consensus about clusters of clinical symptoms, not any objective laboratory measure. Patients with mental illness deserve better.”

  • GoalUnderstanding the

    causes of MDD and the mechanisms of drugs

    used to treat MDD.

    Beyond the Genome

  • Mayo Pharmacogenomics Laboratories - 2016

  • We shall not cease from explorationAnd the end of all our exploring

    Will be to arrive where we started And know the place for the first time.

    T.S. Eliot“Four Quartets”

    Slide Number 1Slide Number 2Slide Number 3Slide Number 4Slide Number 5Slide Number 6Julie AxelrodSlide Number 8Slide Number 9Slide Number 10Slide Number 11Slide Number 12Slide Number 13Slide Number 14Slide Number 15Slide Number 16Slide Number 17Slide Number 18Slide Number 19Slide Number 20Slide Number 21Slide Number 22Slide Number 23Slide Number 24Slide Number 25Slide Number 26Slide Number 27Slide Number 28Slide Number 29Slide Number 30Slide Number 31Pharmacometabolomics Informed PharmacogenomicsPlasma Serotonin and Change in Plasma Serotonin were Associated with SSRI Clinical ResponsePlasma Serotonin Concentrations�After SSRI TherapySerotonin-Kynurenine Balance�and�Major Depressive DisorderSlide Number 36Baseline Serotonin Concentrations by ERICH3 and TSPAN5 SNP GenotypesERICH3 and TSPAN5 Locus Zoom PlotsSlide Number 39Slide Number 40TSPAN5 SNPs are cis-eQTLsSlide Number 42Slide Number 43Slide Number 44Slide Number 45ERICH3 SNPs and Clinical Outcomes in SSRI GWASSlide Number 47Association of HAMD Scores with �Baseline Metabolite ConcentrationsBaseline Plasma KYN GWASBaseline Plasma KYN GWASBaseline Plasma KynurenineSlide Number 52DEFB1 SNP Association with Severity of MDD SymptomsDEFB1 and KYN Pathway Functional Genomics in Monocytic CellsAHR and KYN Pathway Functional Genomics in HepaRG CellsAHR and KYN Pathway Functional Genomics in U87 MG CellsSlide Number 57Slide Number 58Slide Number 59Slide Number 60Slide Number 61Slide Number 62