The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.
Gut microbiome alterations in Alzheimer’s disease
Open accessAbstract
Alzheimer’s disease (AD) is the most common form of dementia. However, the etiopathogenesis of this devastating disease is not fully understood. Recent studies in rodents suggest that alterations in the gut microbiome may contribute to amyloid deposition, yet the microbial communities associated with AD have not been characterized in humans. Towards this end, we characterized the bacterial taxonomic composition of fecal samples from participants with and without a diagnosis of dementia due to AD. Our analyses revealed that the gut microbiome of AD participants has decreased microbial diversity and is compositionally distinct from control age- and sex-matched individuals. We identified phylum- through genus-wide differences in bacterial abundance including decreased Firmicutes, increased Bacteroidetes, and decreased Bifidobacterium in the microbiome of AD participants. Furthermore, we observed correlations between levels of differentially abundant genera and cerebrospinal fluid (CSF) biomarkers of AD. These findings add AD to the growing list of diseases associated with gut microbial alterations, as well as suggest that gut bacterial communities may be a target for therapeutic intervention.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures



Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“A variety of genetic and environmental factors have been implicated in AD etiopathogenesis, including contributions from gut microbiota [13–15].”
From The gut microbiota-derived metabolite trimethylamine N-oxide is elevated in Alzheimer’s disease (2018) · cites this paper as [15]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Diseases of cognitive decline, such as Alzheimer's disease and vascular dementia, are associated with aberrant microbial compositions when compared with healthy controls (297).”
From Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health (2021) · cites this paper as [297]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“These include reductions in beneficial genera such as Lactobacillus and Bifidobacterium, alongside increases in pro-inflammatory taxa like Enterobacteriaceae64.”
From Artificial intelligence-driven multi-omics approaches in Alzheimer's disease: Progress, challenges, and future directions (2025) · cites this paper as [64]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Studies using 16S rRNA gene sequencing and shotgun metagenomic sequencing have consistently identified significant changes in the gut microbiota composition of individuals with AD.”
From Artificial intelligence-driven multi-omics approaches in Alzheimer's disease: Progress, challenges, and future directions (2025) · cites this paper as [64]
Experimental — accuracy not yet measuredIn the citing paper
“Human studies show associations between gut microbiota and neurodegenerative diseases148.”
From Microglia in neurodegeneration (2018) · cites this paper as [148]
In the citing paper
“Human studies comparing the composition of the GM of elderly participants suffering from cognitive impairment with healthy individuals indicate significant changes in GM composition. Specifically, there is an increase in pro-inflammatory taxa and a reduction in anti-inflammatory taxa (104–109).”
From Signalling cognition: The gut microbiota and hypothalamic-pituitary-adrenal axis (2023) · cites this paper as [105]
In the citing paper
“Within the Firmicutes, the families Ruminococcaceae, Turicibacteraceae, and Clostridiaceae were all less abundant in AD patient (160).”
From The gut-brain axis: how microbiota and host inflammasome influence brain physiology and pathology (2020) · cites this paper as [160]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., et al. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01541-09 · Cited by 19,549
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657
Metagenomic biomarker discovery and explanation
Segata, N., Izard, J., Waldron, L., Gevers, D., Miropolsky, L., Garrett, W. S., & Huttenhower, C. (2011) · Genome Biology · doi:10.1186/gb-2011-12-6-r60 · Cited by 16,192
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Langille, M. G. I., Zaneveld, J., Caporaso, J. G., McDonald, D., Knights, D., Reyes, J. A., Clemente, J. C., Burkepile, D. E., Vega Thurber, R. L., Knight, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2676 · Cited by 9,116
A core gut microbiome in obese and lean twins
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., et al. (2009) · Nature · doi:10.1038/nature07540 · Cited by 7,823
Kozich, J. J., Westcott, S. L., Baxter, N. T., Highlander, S. K., & Schloss, P. D. (2013) · Applied and Environmental Microbiology · doi:10.1128/aem.01043-13 · Cited by 7,246
Metabolic Endotoxemia Initiates Obesity and Insulin Resistance
Cani, P. D., Amar, J., Iglesias, M. A., Poggi, M., Knauf, C., Bastelica, D., Neyrinck, A. M., Fava, F., Tuohy, K. M., Chabo, C., et al. (2007) · Diabetes · doi:10.2337/db06-1491 · Cited by 6,638
Obesity alters gut microbial ecology
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504978102 · Cited by 6,176
The amyloid hypothesis of Alzheimer's disease at 25 years
Selkoe, D. J., & Hardy, J. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201606210 · Cited by 6,164
Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour
Cryan, J. F., & Dinan, T. G. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3346 · Cited by 4,572
Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing
Bokulich, N. A., Subramanian, S., Faith, J. J., Gevers, D., Gordon, J. I., Knight, R. D., Mills, D. A., & Caporaso, J. G. (2012) · Nature Methods · doi:10.1038/nmeth.2276 · Cited by 4,525
Hearing loss and cognitive decline in older adults
Lin, F. R., Yaffe, K., Xia, J., Xue, Q.-L., Harris, T. B., Purchase-Helzner, E., Satterfield, S., Ayonayon, H. N., Ferrucci, L., Simonsick, E. M., et al. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1868 · Cited by 4,017
The impact of the gut microbiota on human health: an integrative view
Clemente, J. C., Ursell, L. K., Parfrey, L. W., & Knight, R. (2012) · Cell · doi:10.1016/j.cell.2012.01.035 · Cited by 3,710
Stool form scale as a useful guide to intestinal transit time
Lewis, S. J., & Heaton, K. W. (1997) · Scandinavian Journal of Gastroenterology · doi:10.3109/00365529709011203 · Cited by 3,244
Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible
McMurdie, P. J., & Holmes, S. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003531 · Cited by 3,034
Gut Microbiota in Human Adults with Type 2 Diabetes Differs from Non-Diabetic Adults
Larsen, N., Vogensen, F. K., van den Berg, F. W. J., Nielsen, D. S., Andreasen, A. S., Pedersen, B. K., Al-Soud, W. A., Sørensen, S. J., Hansen, L. H., & Jakobsen, M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009085 · Cited by 2,952
Succession of microbial consortia in the developing infant gut microbiome
Koenig, J. E., Spor, A., Scalfone, N., Fricker, A. D., Stombaugh, J., Knight, R., Angenent, L. T., & Ley, R. E. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000081107 · Cited by 2,540
Microbiota and SCFA in lean and overweight healthy subjects
Schwiertz, A., Taras, D., Schäfer, K., Beijer, S., Bos, N. A., Donus, C., & Hardt, P. D. (2010) · Obesity · doi:10.1038/oby.2009.167 · Cited by 2,457
Diabetes mellitus and the risk of dementia: The Rotterdam Study
Ott, A., Stolk, R. P., van Harskamp, F., Pols, H. A. P., Hofman, A., & Breteler, M. M. B. (1999) · Neurology · doi:10.1212/wnl.53.9.1937 · Cited by 2,175
Gut microbiota are related to Parkinson's disease and clinical phenotype
Scheperjans, F., Aho, V., Pereira, P. A. B., Koskinen, K., Paulin, L., Pekkonen, E., Haapaniemi, E., Kaakkola, S., Eerola‐Rautio, J., Pohja, M., et al. (2015) · Movement Disorders · doi:10.1002/mds.26069 · Cited by 1,968
Interactions between the microbiota, immune and nervous systems in health and disease
Fung, T. C., Olson, C. A., & Hsiao, E. Y. (2017) · Nature Neuroscience · doi:10.1038/nn.4476 · Cited by 1,900
Composition, variability, and temporal stability of the intestinal microbiota of the elderly
Claesson, M. J., Cusack, S., O'Sullivan, O., Greene-Diniz, R., de Weerd, H., Flannery, E., Marchesi, J. R., Falush, D., Dinan, T., Fitzgerald, G., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000097107 · Cited by 1,754
Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples
White, J. R., Nagarajan, N., & Pop, M. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000352 · Cited by 1,602
Cattaneo, A., Cattane, N., Galluzzi, S., Provasi, S., Lopizzo, N., Festari, C., Ferrari, C., Guerra, U. P., Paghera, B., Muscio, C., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.08.019 · Cited by 1,382
How informative is the mouse for human gut microbiota research?
Nguyen, T. L. A., Vieira-Silva, S., Liston, A., & Raes, J. (2015) · Disease Models & Mechanisms · doi:10.1242/dmm.017400 · Cited by 1,334
Colonic bacterial composition in Parkinson's disease
Keshavarzian, A., Green, S. J., Engen, P. A., Voigt, R. M., Naqib, A., Forsyth, C. B., Mutlu, E., & Shannon, K. M. (2015) · Movement Disorders · doi:10.1002/mds.26307 · Cited by 1,281
Gut Microbiota and Metabolic Endotoxemia in Young Obese Mexican Subjects
Radilla-Vázquez, R. B., Parra‐Rojas, I., Martínez-Hernández, N. E., Márquez‐Sandoval, F., Illades‐Aguiar, B., & Castro-Alarcón, N. (2016) · Obesity Facts · doi:10.1159/000442479 · Cited by 1,200
The first 1000 cultured species of the human gastrointestinal microbiota
Rajilić-Stojanović, M., & de Vos, W. M. (2014) · FEMS Microbiology Reviews · doi:10.1111/1574-6976.12075 · Cited by 1,182
MIND diet associated with reduced incidence of Alzheimer's disease
Morris, M. C., Tangney, C. C., Wang, Y., Sacks, F. M., Bennett, D. A., & Aggarwal, N. T. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.11.009 · Cited by 1,162
Bifidobacteria and Their Role as Members of the Human Gut Microbiota
O’Callaghan, A. A., & van Sinderen, D. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00925 · Cited by 1,160
Accounting for cellular heterogeneity is critical in epigenome-wide association studies
Jaffe, A. E., & Irizarry, R. A. (2014) · Genome Biology · doi:10.1186/gb-2014-15-2-r31 · Cited by 1,067
Akbari, E., Asemi, Z., Daneshvar Kakhaki, R., Bahmani, F., Kouchaki, E., Tamtaji, O. R., Hamidi, G. A., & Salami, M. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00256 · Cited by 946
Reduction of Abeta amyloid pathology in APPPS1 transgenic mice in the absence of gut microbiota
Harach, T., Marungruang, N., Duthilleul, N., Cheatham, V., Mc Coy, K. D., Frisoni, G., Neher, J. J., Fåk, F., Jucker, M., Lasser, T., et al. (2017) · Scientific Reports · doi:10.1038/srep41802 · Cited by 901
Gut Bifidobacteria Populations in Human Health and Aging
Arboleya, S., Watkins, C., Stanton, C., & Ross, R. P. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.01204 · Cited by 701
Kitazawa, M., Oddo, S., Yamasaki, T. R., Green, K. N., & LaFerla, F. M. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2868-05.2005 · Cited by 697
Minter, M. R., Zhang, C., Leone, V., Ringus, D. L., Zhang, X., Oyler-Castrillo, P., Musch, M. W., Liao, F., Ward, J. F., Holtzman, D. M., et al. (2016) · Scientific Reports · doi:10.1038/srep30028 · Cited by 655
Magalhães, A. P., Lopes, S. P., & Pereira, M. O. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.02146 · Cited by 578
de la Monte, S. M., & Wands, J. R. (2005) · Journal of Alzheimer s Disease · doi:10.3233/jad-2005-7106 · Cited by 552
Mainardi, M., Garbo, A. D., Caleo, M., Berardi, N., Sale, A., & Maffei, L. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00001 · Cited by 550
Ghaisas, S., Maher, J. M., & Kanthasamy, A. G. (2015) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2015.11.012 · Cited by 532
Broadband criticality of human brain network synchronization
Kitzbichler, M. G., Smith, M. L., Christensen, S. R., & Bullmore, E. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000314 · Cited by 527
Hansen, R. A., Webb, A. P., Moore, C. G., Gartlehner, G., Jonas, D. E., & Morgan, L. C. (2020) · PubMed Central · doi:10.17615/ae8c-2p76 · Cited by 523
Gram-negative bacterial molecules associate with Alzheimer disease pathology
Zhan, X., Stamova, B., Jin, L.-W., DeCarli, C., Phinney, B., & Sharp, F. R. (2016) · Neurology · doi:10.1212/wnl.0000000000003391 · Cited by 521
YKL-40: A Novel Prognostic Fluid Biomarker for Preclinical Alzheimer's Disease
Craig-Schapiro, R., Perrin, R. J., Roe, C. M., Xiong, C., Carter, D., Cairns, N. J., Mintun, M. A., Peskind, E. R., Li, G., Galasko, D. R., et al. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.08.025 · Cited by 504
Role of gut microbiota and nutrients in amyloid formation and pathogenesis of Alzheimer disease
Pistollato, F., Sumalla Cano, S., Elio, I., Masias Vergara, M., Giampieri, F., & Battino, M. (2016) · Nutrition Reviews · doi:10.1093/nutrit/nuw023 · Cited by 496
Host–Bacterial Symbiosis in Health and Disease
Chow, J., Lee, S. M., Shen, Y. L., Khosravi, A., & Mazmanian, S. K. (2010) · Advances in immunology · doi:10.1016/b978-0-12-381300-8.00008-3 · Cited by 485
Molecular analysis of the gut microbiota of identical twins with Crohn's disease
Dicksved, J., Halfvarson, J., Rosenquist, M., Järnerot, G., Tysk, C., Apajalahti, J., Engstrand, L. G., & Jansson, J. K. (2008) · The ISME Journal · doi:10.1038/ismej.2008.37 · Cited by 459
Diabetes in Midlife and Cognitive Change Over 20 Years: A Cohort Study
Rawlings, A. M., Sharrett, A. R., Schneider, A. L. C., Coresh, J., Albert, M., Couper, D., Griswold, M., Gottesman, R. F., Wagenknecht, L. E., Windham, B. G., et al. (2014) · Annals of Internal Medicine · doi:10.7326/m14-0737 · Cited by 447
Bifidobacterium longum subspecies infantis: champion colonizer of the infant gut
Underwood, M. A., German, J. B., Lebrilla, C. B., & Mills, D. A. (2015) · Pediatric Research · doi:10.1038/pr.2014.156 · Cited by 439
Westcott, S. L., & Schloss, P. D. (2017) · mSphere · doi:10.1128/mspheredirect.00073-17 · Cited by 428
Willette, A. A., Bendlin, B. B., Starks, E. J., Birdsill, A. C., Johnson, S. C., Christian, B. T., Okonkwo, O. C., La Rue, A., Hermann, B. P., Koscik, R. L., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.0613 · Cited by 418
Self-citationOn the Use of Human Mobility Proxies for Modeling Epidemics
Tizzoni, M., Bajardi, P., Decuyper, A., King, G. K. K., Schneider, C., Blondel, V. D., Smoreda, Z., González, M. C., & Vittoria Colizza, A. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003716 · Cited by 404
The Case for Adopting the “Species Complex” Nomenclature for the Etiologic Agents of Cryptococcosis
Kwon-Chung, K. J., Bennett, J. E., Wickes, B. L., Meyer, W., Cuomo, C. A., Wollenburg, K. R., Bicanic, T. A., Castañeda, E., Chang, Y. C., Chen, J., et al. (2017) · mSphere · doi:10.1128/msphere.00357-16 · Cited by 401
Sheng, J. (2003) · Neurobiology of Disease · doi:10.1016/s0969-9961(03)00069-x · Cited by 388
The intestinal microbiota and chronic disorders of the gut
Dupont, A. W., & DuPont, H. L. (2011) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2011.133 · Cited by 310
Sensory receptors—design principles revisited
Wicher, D. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00001 · Cited by 296
Shen, L., Liu, L., & Ji, H. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160884 · Cited by 283
Insulin resistance predicts brain amyloid deposition in late middle‐aged adults
Willette, A. A., Johnson, S. C., Birdsill, A. C., Sager, M. A., Christian, B., Baker, L. D., Craft, S., Oh, J. M., Statz, E. H., Hermann, B. P., et al. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.03.011 · Cited by 267
Self-citationAlzheimer's disease and the microbiome
Bhattacharjee, S., & Lukiw, W. J. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00153 · Cited by 253
LOONEN, A. J. M., & Ivanova, S. А. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00394 · Cited by 250
Santos, S. S., Santos, S., Pinto, A. R. T., Ramu, V. G., Heras, M., Bardajı́, E., Tavares, I., & Castanho, M. A. R. B. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00001 · Cited by 250
Sager, M. A., Hermann, B. P., & Rue, A. L. (2005) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988705281882 · Cited by 224
Inflammation Induced by Infection Potentiates Tau Pathological Features in Transgenic Mice
Sy, M., Kitazawa, M., Medeiros, R., Whitman, L., Cheng, D., Lane, T. E., & LaFerla, F. M. (2011) · The American Journal of Pathology · doi:10.1016/j.ajpath.2011.02.012 · Cited by 210
Griffiths, E. A., Duffy, L. C., Schanbacher, F. L., Qiao, H., Dryja, D., Leavens, A., Rossman, J., Rich, G. A., DiRienzo, D. B., & Ogra, P. L. O. (2004) · Digestive Diseases and Sciences · doi:10.1023/b:ddas.0000026302.92898.ae · Cited by 199
The Role of Bifidobacteria in Gut Barrier Function After Thermal Injury in Rats
Wang, Z., Xiao, G., Yao, Y.-M., Guo, S., Lu, K., & Sheng, Z. (2006) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/01.ta.0000196574.70614.27 · Cited by 193
Lewczuk, P., Lelental, N., Spitzer, P., Maler, J. M., & Kornhuber, J. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-140771 · Cited by 192
Man, A., Bertelli, E., Rentini, S., Regoli, M., Briars, G., Marini, M., Watson, A., & Nicoletti, C. (2015) · Clinical science · doi:10.1042/cs20150046 · Cited by 189
Can a Bacterial Endotoxin be a Key Factor in the Kinetics of Amyloid Fibril Formation?
Asti, A., & Gioglio, L. (2014) · Journal of Alzheimer's Disease · doi:10.3233/jad-131394 · Cited by 180
Kahn, M. S., Kranjac, D., Alonzo, C. A., Haase, J. H., Cedillos, R. O., McLinden, K. A., Boehm, G. W., & Chumley, M. J. (2012) · Behavioural Brain Research · doi:10.1016/j.bbr.2012.01.010 · Cited by 177
Pathogenic microbes, the microbiome, and Alzheimer’s disease (AD)
Hill, J. M., Clément, C., Pogue, A. I., Bhattacharjee, S., Zhao, Y., & Lukiw, W. J. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00127 · Cited by 170
Hellwig, K., Kvartsberg, H., Portelius, E., Andréasson, U., Oberstein, T. J., Lewczuk, P., Blennow, K., Kornhuber, J., Maler, J. M., Zetterberg, H., et al. (2015) · Alzheimer s Research & Therapy · doi:10.1186/s13195-015-0161-y · Cited by 144
Self-citationMicrobial Sources of Amyloid and Relevance to Amyloidogenesis and Alzheimer’s Disease (AD)
P, Z. Y. D. (2015) · Journal of Alzheimer’s Disease & Parkinsonism · doi:10.4172/2161-0460.1000177 · Cited by 141
Stehle, J. R., Leng, X., Kitzman, D. W., Nicklas, B. J., Kritchevsky, S. B., & High, K. P. (2012) · The Journals of Gerontology Series A · doi:10.1093/gerona/gls178 · Cited by 134
Johnson, S. C., La Rue, A., Hermann, B. P., Xu, G., Koscik, R. L., Jonaitis, E. M., Bendlin, B. B., Hogan, K. J., Roses, A. D., Saunders, A. M., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2010.11.012 · Cited by 112
Self-citationRosén, C., Andersson, C.-H., Andréasson, U., Molinuevo, J. L., Bjerke, M., Rami, L., Lladó, A., Blennow, K., & Zetterberg, H. (2014) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000362164 · Cited by 88
Self-citationBlennow, K., & Zetterberg, H. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00345 · Cited by 79
Self-citationRacine, A. M., Clark, L. R., Berman, S. E., Koscik, R. L., Mueller, K. D., Norton, D., Nicholas, C. R. N., Blennow, K., Zetterberg, H., Jedynak, B., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160528 · Cited by 74
Self-citationGowen, B. B., Wong, M., Larson, D. P., Ye, W., Jung, K., Sefing, E. J., Skirpstunas, R. T., Smee, D. F., Morrey, J. D., & Schneller, S. W. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012760 · Cited by 56
Denion, É., Hitier, M., Levieil, É., & Mouriaux, F. (2016) · Scientific Reports · doi:10.1038/srep19389 · Cited by 52
Racine, A. M., Merluzzi, A. P., Adluru, N., Norton, D., Koscik, R. L., Clark, L. R., Berman, S. E., Nicholas, C. R. N., Asthana, S., Alexander, A. L., et al. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9732-9 · Cited by 50
Self-citationDoes the intestinal bifidobacterial colonisation affect bacterial translocation?
Romond, M., Colavizza, M., Mullié, C., Kalach, N., Kremp, O., Mielcarek, C., & Izard, D. (2007) · Anaerobe · doi:10.1016/j.anaerobe.2007.09.003 · Cited by 39
Cited by
Sorted by citations
Cryan, J. F., O'Riordan, K. J., Cowan, C. S. M., Sandhu, K. V., Bastiaanssen, T. F. S., Boehme, M., Codagnone, M. G., Cussotto, S., Fulling, C., Golubeva, A. V., et al. (2019) · Physiological Reviews · doi:10.1152/physrev.00018.2018 · Cited by 5,286
Rinninella, E., Raoul, P., Cintoni, M., Franceschi, F., Miggiano, G. A. D., Gasbarrini, A., & Mele, M. C. (2019) · Microorganisms · doi:10.3390/microorganisms7010014 · Cited by 3,462
Alzheimer Disease: An Update on Pathobiology and Treatment Strategies
Long, J. M., & Holtzman, D. M. (2019) · Cell · doi:10.1016/j.cell.2019.09.001 · Cited by 3,204
Microbiota in health and diseases
Hou, K., Wu, Z.-X., Chen, X.-Y., Wang, J.-Q., Zhang, D., Xiao, C., Zhu, D., Koya, J. B., Wei, L., Li, J., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00974-4 · Cited by 3,171
The gut microbiota–brain axis in behaviour and brain disorders
Morais, L. H., Schreiber, H. L., & Mazmanian, S. K. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-020-00460-0 · Cited by 2,149
Metadata
- Authors
- Vogt, N. M., Kerby, R. L., Dill-McFarland, K. A., Harding, S. J., Merluzzi, A. P., Johnson, S. C., Carlsson, C. M., Asthana, S., Zetterberg, H., Blennow, K., Bendlin, B. B., & Rey, F. E.
- Affiliations
- University of Wisconsin–Madison (US)
- Sahlgrenska University Hospital (SE)
- Corresponding author
- Bendlin, Barbara B.
- Rey, Federico E.
- ORCID
- Venue
- Scientific Reports
- Published
- 2017-10-19
- Volume
- 7
- Issue
- 1
- Pages
- 13537-13537
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC5648830
- OpenAlex
- W2761210275
- Cited by
- 2,137
- References
- 83
- Citations by year
- 2026: 205 · 2025: 322 · 2024: 328 · 2023: 269 · 2022: 339 · 2021: 283 · 2020: 205 · 2019: 119 · 2018: 64 · 2017: 1
- FWCI
- 43.23
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Alzheimer's Association (R01 AG027161, R01 AG037639, R01 AG021155)
- Torsten Söderbergs Stiftelse
- Rush University
- Georgia Clinical and Translational Science Alliance (UL1TR000427)
- Royal Swedish Academy of Sciences
- Vetenskapsrådet
- National Institutes of Health (UL1TR000427, NIH P50, AG027161, AG037639, NIH P50 AG033514, AG033514)
- Institute for Clinical and Translational Research, University of Wisconsin, Madison (UL1TR000427)
- National Institute on Aging (RF1AG027161, R01AG037639, P50AG033514, R01AG021155, R01AG027161, R56AG037639)
- National Institute of General Medical Sciences (T32GM008692)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, gut microbiota, dementia, fecal microbiota, microbial diversity, Firmicutes, Bacteroidetes, Bifidobacterium, cerebrospinal fluid biomarkers, amyloid deposition, gut-brain axis, therapeutic target
- MeSH terms
- Bacillota, Gastrointestinal Microbiome, Aged, Alzheimer Disease, Bifidobacterium, Feces, Female, Humans, Male, Biomarkers, Case-Control Studies, tau Proteins, Bacteroidetes
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review