gut microbiota analysis of an alzheimer’s disease...

1
Kristin A. Zabrecky 1 ; Daniel J. Davis 2 ; Elizabeth C. Bryda 2 1 The Ohio State University College of Veterinary Medicine, Columbus, OH; 2 Rat Resource and Research Center, Department of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO * Alzheimer’s Disease (AD) is the leading cause of dementia in the growing elderly population. 1 A new transgenic rat model, F344-Tg(Prp-APP,Prp- PS1)19/Rrrc (TgF344-AD), carries two mutations, amyloid beta (A4) precursor protein (APP) and human Presenilin 1 (PS1), both associated with familial AD. 2 The TgF344-AD rat strain has been previously shown to have a phenotype more representative of human disease than existing rodent models. 2 There is growing evidence for the role and interaction of the gut microbiota in neurodegenerative disease progression. 3 Neuropathological and behavioral changes in TgF344-AD rats will have accompanying microbiota alterations with increasing disease severity and age. (1) Mazure, C.M. and Swendsen. J. (2016). Sex differences in Alzheimer’s disease and other dementias. Lancet Neurol. 15(5):451-452. (2) Cohen, R.M. et al. (2013). A transgenic Alzheimer rat with plaques, tau pathology, behavioral impairment, oligometric AB, and frank neuronal loss. J Neurosci. 33(15):6245-6256. (3)Cryan, J.F. and O’Mahony S.M. (2011). The microbiome-gut-brain axis: from bowel to behavior. Neurogastroenterol Motility. 23(3):187-192. (4) Selkoe, D.J. (2001). Alzheimer’s Disease: Genes, Proteins, and Therapy. Physiol Rev. 81(2):742-760. (5) Gaidica, M. (2006). Rat Brain Atlas. Retrieved from http://labs.gaidi.ca/rat-brain-atlas. This project was funded by American Society of Laboratory Animal Practitioners Foundation, GlaxoSmithKine, IDEXX-BioResearch (KAZ) and NIH 5P40 OD011062 (ECB). We thank the entire Bryda and Amos-Landgraf laboratories in the Department of Veterinary Pathobiology, Susheel Busi, Jill Hanson, Dr. Marcia Hart, Dr. Craig Franklin, and Dr. Cynthia Besch-Williford. 1 Characterization of AD Phenotype Microbiota Analysis Extract and purify DNA Amplify V4 region of microbial 16S rRNA gene via polymerase chain reaction Sequence 80-120,000 reads per sample using Illumina MiSeq platform Annotate sequence data using database of 16S rRNA gene sequences Immunohistochemistry and Histology qPCR Figure 1. Modied from Selkoe (2001). AD Age and Sex Difference Males >6mo Males <6mo Females <6mo Females >6mo A. Males Females Age Matched AD Rats B. Males Females Age Matched WT Rats C. Figure 2. A. Principal component analysis (PCA) of male (n=17) and female (n=23) transgene positive (AD) rats of varying ages. A comparison of young (<6 months) and old (>6 months) rats showed no significant difference ( p > 0.05); however, there was a significant difference between the sexes (p < 0.05). B. PCA for age matched AD rats showing a significant difference (p < 0.05) between males (n=8) and females (n=7). Outer circles around each group represent 95% confidence intervals. Bacteria contributing to the greatest disparity between the sexes are Bacteroides, Bifidobacterium, Desulfovibrio, Granulicatella, Ruminococcus, Proteus, and Turicibacter. C. PCA for age matched WT rats (n=7) of the same background Fisher 344 strain as F344-AD. There is no significant difference (p > 0.05) between males (n=3) and females (n=4). Outer circles around each group represent 95% confidence intervals. Gut microbiota analysis of an Alzheimer’s Disease transgenic rat model Figure 4. A. Rat Brain Atlas 5 at bregma -4.30 for hippocampus (H) and cortex (C). B. Congo red stain showing an amyloid β plaque (between arrows) at 40x standard (left) and polarized (right) light microscopy. C. Immunohistochemistry for amyloid β protein and hyperphosphorylated tau protein in WT rats at 12 months and AD rats at 6, 8, and 12 months. There is progressing accumulation of both amyloid β plaques around sites of neuronal degeneration and neuronal intracellular tau protein with increasing age in AD rats. Arrows indicate IHC staining for either amyloid β or tau protein. Figure 5. Average microglia (Aif1) (A) and astrocyte (GFAP) (B) gene expression in the hippocampus of 6 and 8 months AD (young, n=3),12 months AD (old, n=3), and 13 months WT (old, n=2) rats. Although there is a trend of increased expression in the AD rats, the results were not statistically significant (p > 0.05). This trend also occurs in the cortex of AD rats (data not shown). References and Acknowledgements Background Hypothesis Methods Microbiota Analysis Alzheimer’s Disease Phenotype Summary and Future Directions IHC: Amyloid β protein IHC: hyperphosphorylated protein tau Behavioral testing: open field and novel object qPCR: microgilia (Aif1) and astrocytes (GFAP) Histology: H&E and congo red Representative group of AD (n=6) and wildtype (WT) (n=4) male rats of varying ages underwent behavioral testing, brain histology, immunohistochemistry (IHC), and quantitative polymerase chain reaction (qPCR) Proposed Sequence for familial AD Sequence f Mutations in APP, PS1 and PS2 genes Altered amyloid β precursor protein (APP) increasing amyloid β production and plaques Brain inflammatory response Progressive neuronal injury near plaques leading to oxidative damage Altered kinase increasing hyperphosphorylated tau protein Widespread neuronal dysfunction and degradation in hippocampus and cortex Although there was no difference in the microbiota among age groups, a significant difference was seen between male and female TgF344- AD rats of all ages. The AD phenotype was consistent with previous studies. We noted a unexpected decreased activity level in the AD rats in the open field behavioral test. 2 Future studies with comparisons to unaffected litter mates are needed to confirm the microbiota results. Figure 3. 7 months WT (young, n=2) and 13 months WT (old, n=2) rats compared to 6 and 8 months AD (young, n=3) and 12 months AD (old, n=3) rats. A. Open field average distance over 30 minutes measuring activity level. Significant (p < 0.05) between genotypes. B. Preference for novel object assessing learning and memory. Significant (p < 0.05) between genotypes. C. Novel object set up tracking rat head 2 cm from object. A. p = 0.223 B. p = 0.067 p = 0.049 A. Behavioral Testing p = 0.032 B. C. p = 0.139 F = 2.081 p = 0.022 F = 3.483 Age p = 0.105 F = 1.298 H C A. AD 6 mo AD 8 mo AD 12 mo WT 12 mo Tau 20x H C H C Amyloid β 5x C. B. Sex p = 0.004 F = 3.074 P Monday, July 25, 16

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Page 1: Gut microbiota analysis of an Alzheimer’s Disease …vrsp.missouri.edu/wp-content/uploads/2017/01/Zabrecky.pdfdisease than existing rodent models.2 •There is growing evidence for

Kristin A. Zabrecky1; Daniel J. Davis2; Elizabeth C. Bryda2

1The Ohio State University College of Veterinary Medicine, Columbus, OH; 2Rat Resource and Research Center, Department of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO

*

•Alzheimer’s Disease (AD) is the leading cause ofdementia in the growing elderly population.1

• A new transgenic rat model, F344-Tg(Prp-APP,Prp-PS1)19/Rrrc (TgF344-AD), carries two mutations,amyloid beta (A4) precursor protein (APP) and humanPresenilin 1 (PS1), both associated with familial AD.2

•The TgF344-AD rat strain has been previously shownto have a phenotype more representative of humandisease than existing rodent models.2

•There is growing evidence for the role and interactionof the gut microbiota in neurodegenerative diseaseprogression.3

Neuropathological and behavioral changes in TgF344-AD rats will have accompanying microbiota alterations with increasing disease severity and age.

(1) Mazure, C.M. and Swendsen. J. (2016). Sex differences in Alzheimer’s disease and other dementias. Lancet Neurol. 15(5):451-452.(2) Cohen, R.M. et al. (2013). A transgenic Alzheimer rat with plaques, tau pathology, behavioral impairment, oligometric AB, and frank neuronal loss. J Neurosci. 33(15):6245-6256.(3) Cryan, J.F. and O’Mahony S.M. (2011). The microbiome-gut-brain axis: from bowel to behavior. Neurogastroenterol Motility. 23(3):187-192.(4) Selkoe, D.J. (2001). Alzheimer’s Disease: Genes, Proteins, and Therapy. Physiol Rev. 81(2):742-760.(5) Gaidica, M. (2006). Rat Brain Atlas. Retrieved from http://labs.gaidi.ca/rat-brain-atlas.

This project was funded by American Society of Laboratory Animal Practitioners Foundation, GlaxoSmithKine, IDEXX-BioResearch (KAZ) and NIH 5P40 OD011062 (ECB). We thank the entire Bryda and Amos-Landgraf laboratories in the Department of Veterinary Pathobiology, Susheel Busi, Jill Hanson, Dr. Marcia Hart, Dr. Craig Franklin, and Dr. Cynthia Besch-Williford.

1

Characterization of AD Phenotype

Microbiota Analysis

Extract and purify DNA

Amplify V4 region of

microbial 16S rRNA gene via

polymerase chain reaction

Sequence 80-120,000 readsper sample using

Illumina MiSeq platform

Annotate sequence data using database

of 16S rRNA gene sequences

Immunohistochemistry and Histology qPCR

Figure 1. Modified from Selkoe (2001).

AD Age and Sex Difference

Males >6mo

Males <6mo

Females <6mo

Females >6mo

A.

Males

Females

Age Matched AD RatsB.

Males

Females

Age Matched WT RatsC.

Figure 2. A. Principal component analysis (PCA) of male (n=17) and female (n=23) transgene positive (AD) rats of varying ages. A comparison of young (<6 months) and old (>6 months) rats showed no significant difference (p > 0.05); however, there was a significant difference between the sexes (p < 0.05). B. PCA for age matched AD rats showing a significant difference (p < 0.05) between males (n=8) and females (n=7). Outer circles around each group represent 95% confidence intervals. Bacteria contributing to the greatest disparity between the sexes are Bacteroides, Bifidobacterium, Desulfovibrio, Granulicatella, Ruminococcus, Proteus, and Turicibacter. C. PCA for age matched WT rats (n=7) of the same background Fisher 344 strain as F344-AD. There is no significant difference (p > 0.05) between males (n=3) and females (n=4). Outer circles around each group represent 95% confidence intervals.

Gut microbiota analysis of an Alzheimer’s Disease transgenic rat model

Figure 4. A. Rat Brain Atlas5 at bregma -4.30 for hippocampus (H) and cortex (C). B. Congo red stain showing an amyloid β plaque (between arrows) at 40x standard (left) and polarized (right) light microscopy. C. Immunohistochemistry for amyloid β protein and hyperphosphorylated tau protein in WT rats at 12 months and AD rats at 6, 8, and 12 months. There is progressing accumulation of both amyloid β plaques around sites of neuronal degeneration and neuronal intracellular tau protein with increasing age in AD rats. Arrows indicate IHC staining for either amyloid β or tau protein.

Figure 5. Average microglia (Aif1) (A) and astrocyte (GFAP) (B) gene expression in the hippocampus of 6 and 8 months AD (young, n=3),12 months AD (old, n=3), and 13 months WT (old, n=2) rats. Although there is a trend of increased expression in the AD rats, the results were not statistically significant (p > 0.05). This trend also occurs in the cortex of AD rats (data not shown).

References and Acknowledgements

Background

Hypothesis

Methods

Microbiota Analysis

Alzheimer’s Disease Phenotype

Summary and Future Directions

•IHC: Amyloid β protein

•IHC: hyperphosphorylatedprotein tau

•Behavioral testing: openfield and novel object

•qPCR: microgilia (Aif1)and astrocytes (GFAP)

•Histology: H&E andcongo red

Representative group of AD (n=6) and wildtype (WT) (n=4) male rats of varying ages underwent behavioral testing, brain histology, immunohistochemistry (IHC), and quantitative polymerase chain reaction (qPCR)

Proposed Sequence for familial ADSequence f

Mutations in APP, PS1 and PS2 genes

Altered amyloid β precursor protein (APP) increasing amyloid β production

and plaques

Brain inflammatory response

Progressive neuronal injury near plaques leading to oxidative damage

Altered kinase increasing hyperphosphorylated tau protein

Widespread neuronal dysfunction and degradation in hippocampus and cortex

•Although there was no difference in the microbiota among age groups, a significant difference was seen between male and female TgF344-AD rats of all ages.

•The AD phenotype was consistent with previous studies. We noted a unexpected decreased activity level in the AD rats in the open fieldbehavioral test.2

•Future studies with comparisons to unaffected litter mates are needed to confirm the microbiota results.

Figure 3. 7 months WT (young, n=2) and 13 months WT (old, n=2) rats compared to 6 and 8 months AD (young, n=3) and 12 months AD (old, n=3) rats. A. Open field average distance over 30 minutes measuring activity level. Significant (p < 0.05) between genotypes. B. Preference for novel object assessing learning and memory. Significant (p < 0.05) between genotypes. C. Novel object set up tracking rat head 2 cm from object.

A.p = 0.223

B.

p = 0.067

p = 0.049

A.Behavioral Testing

p = 0.032B.

C.

p = 0.139F = 2.081

p = 0.022F = 3.483

Agep = 0.105F = 1.298

H

C

A.

AD 6 mo AD 8 mo AD 12 moWT 12 mo

Tau20x

H

C

H

C

Amyloid β5x

C.

B.

Sexp = 0.004F = 3.074

P

Monday, July 25, 16