TY - JOUR
T1 - Gut microbiome composition may be an indicator of preclinical Alzheimer’s disease
AU - Ferreiro, Aura L.
AU - Choi, Joo Hee
AU - Ryou, Jian
AU - Newcomer, Erin P.
AU - Thompson, Regina
AU - Bollinger, Rebecca M.
AU - Hall-Moore, Carla
AU - Ndao, I. Malick
AU - Sax, Laurie
AU - Benzinger, Tammie L.S.
AU - Stark, Susan L.
AU - Holtzman, David M.
AU - Fagan, Anne M.
AU - Schindler, Suzanne E.
AU - Cruchaga, Carlos
AU - Butt, Omar H.
AU - Morris, John C.
AU - Tarr, Phillip I.
AU - Ances, Beau M.
AU - Dantas, Gautam
N1 - Funding Information:
Acknowledgments:W ethanktheparticipantsenrolledinthisstudyfortimeand contributions,aswellasthestaffoftheBiomarker,Clinical,Genetic,andImagingCoresofthe KnightADRC.Furthermore,wethankthestaffattheEdisonFamilyCenterforGenomeScience andSystemsBiologyatW ashington UniversityinSt.LouisSchoolofMedicine:B.Dee, K.Matheny,andK.Pageforadministrativesupport;J.Hoisington-LopezandM.L.Crosbyfor technicalsupportinhigh-throughputsequencing;andE.MartinandB.Koebbefor computationalsupport.W ealsothanktheGenomeT echnology AccessCenteratthe McDonnellGenomeInstitutefortechnicalsupportinhigh-throughputsequencing.W ealso thank members of the Dantas Lab for helpful discussions. Funding: This research was supportedbytheInfectionDiseaseSocietyofAmericaFoundation(MicrobialPathogenesisin Alzheimer’s Disease Grant 2020 to G.D.), the National Institute on Aging (P01 AG026276 to J.C.M.andR01AG057680-01A1toB.M.A.andS.L.S.),theBrennanFund(toB.M.A.),theRiney Fund(toB.M.A.),andtheW ashington UniversityDigestiveDiseasesResearchCoreCenter (NIDDKP30DK052574,BiobankCore,toco-directorP .I.T .). Authorcontributions:B.M.A.and G.D.conceptualizedthestudy.B.M.A.,G.D.,andA.L.F .developedthemethodology.A.L.F . conductedallanalysesandvisualizationandwrotethemanuscript.B.M.A.,G.D.,andP .I.T . supervisedtheproject,andR.M.B.,R.T ., C.H.-M.wereinchargeofprojectadministration.P .I.T ., R.M.B., C.H.-M., and I.M.N. coordinated collection, receipt, and processing of stool samples. A.L.F ., J.C.,andJ.R.preparedlibrariesforsequencing.T .L.S.B. coordinatedneuroimaging.S.L.S. andR.M.B.coordinatedclinicalcognitiveassessments.S.E.S.andA.M.F .coordinatedfluid
Funding Information:
We thank the participants enrolled in this study for time and contributions, as well as the staff of the Biomarker, Clinical, Genetic, and Imaging Cores of the Knight ADRC. Furthermore, we thank the staff at the Edison Family Center for Genome Science and Systems Biology at Washington University in St. Louis School of Medicine: B. Dee, K. Matheny, and K. Page for administrative support; J. Hoisington-Lopez and M. L. Crosby for technical support in high-throughput sequencing; and E. Martin and B. Koebbe for computational support. We also thank the Genome Technology Access Center at the McDonnell Genome Institute for technical support in high-throughput sequencing. We also thank members of the Dantas Lab for helpful discussions. This research was supported by the Infection Disease Society of America Foundation (Microbial Pathogenesis in Alzheimer’s Disease Grant 2020 to G.D.), the National Institute on Aging (P01 AG026276 to J.C.M. and R01 AG057680-01A1 to B.M.A. and S.L.S.), the Brennan Fund (to B.M.A.), the Riney Fund (to B.M.A.), and the Washington University Digestive Diseases Research Core Center (NIDDK P30 DK052574, Biobank Core, to co-director P.I.T.).
Publisher Copyright:
Copyright © 2023 The Authors, some rights reserved.
PY - 2023
Y1 - 2023
N2 - Alzheimer’s disease (AD) pathology is thought to progress from normal cognition through preclinical disease and ultimately to symptomatic AD with cognitive impairment. Recent work suggests that the gut microbiome of symptomatic patients with AD has an altered taxonomic composition compared with that of healthy, cognitively normal control individuals. However, knowledge about changes in the gut microbiome before the onset of symptomatic AD is limited. In this cross-sectional study that accounted for clinical covariates and dietary intake, we compared the taxonomic composition and gut microbial function in a cohort of 164 cognitively normal individuals, 49 of whom showed biomarker evidence of early preclinical AD. Gut microbial taxonomic profiles of individuals with preclinical AD were distinct from those of individuals without evidence of preclinical AD. The change in gut microbiome composition correlated with β-amyloid (Aβ) and tau pathological biomarkers but not with biomarkers of neurodegeneration, suggesting that the gut microbiome may change early in the disease process. We identified specific gut bacterial taxa associated with preclinical AD. Inclusion of these microbiome features improved the accuracy, sensitivity, and specificity of machine learning classifiers for predicting preclinical AD status when tested on a subset of the cohort (65 of the 164 participants). Gut microbiome correlates of preclinical AD neuropathology may improve our understanding of AD etiology and may help to identify gut-derived markers of AD risk.
AB - Alzheimer’s disease (AD) pathology is thought to progress from normal cognition through preclinical disease and ultimately to symptomatic AD with cognitive impairment. Recent work suggests that the gut microbiome of symptomatic patients with AD has an altered taxonomic composition compared with that of healthy, cognitively normal control individuals. However, knowledge about changes in the gut microbiome before the onset of symptomatic AD is limited. In this cross-sectional study that accounted for clinical covariates and dietary intake, we compared the taxonomic composition and gut microbial function in a cohort of 164 cognitively normal individuals, 49 of whom showed biomarker evidence of early preclinical AD. Gut microbial taxonomic profiles of individuals with preclinical AD were distinct from those of individuals without evidence of preclinical AD. The change in gut microbiome composition correlated with β-amyloid (Aβ) and tau pathological biomarkers but not with biomarkers of neurodegeneration, suggesting that the gut microbiome may change early in the disease process. We identified specific gut bacterial taxa associated with preclinical AD. Inclusion of these microbiome features improved the accuracy, sensitivity, and specificity of machine learning classifiers for predicting preclinical AD status when tested on a subset of the cohort (65 of the 164 participants). Gut microbiome correlates of preclinical AD neuropathology may improve our understanding of AD etiology and may help to identify gut-derived markers of AD risk.
UR - http://www.scopus.com/inward/record.url?scp=85162062828&partnerID=8YFLogxK
U2 - 10.1126/scitranslmed.abo2984
DO - 10.1126/scitranslmed.abo2984
M3 - Article
C2 - 37315112
AN - SCOPUS:85162062828
SN - 1946-6234
VL - 15
JO - Science translational medicine
JF - Science translational medicine
IS - 700
M1 - eabo2984
ER -