The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Altered Gut Microbiota in a Mouse Model of Alzheimer’s Disease
Abstract
The topic of gut microbiota is currently attracting considerable interest as a potential factor in Alzheimer's disease (AD). However, the extent and time course of alterations in the gut microbiota, and their effects on AD pathology remain uncertain. Herein, we compared the fecal microbiomes and fecal short chain fatty acid composition (SCFAs) between wild-type and AD model mice at different ages under strictly controlled specific pathogen free conditions, and also conducted microscopic investigations of intestinal structures. Our results showed that the microbiota composition and diversity were perturbed and the level of SCFAs was reduced in AD mice, predicting alterations in more than 30 metabolic pathways, which may be associated with amyloid deposition and ultrastructural abnormalities in AD mouse intestine. These findings indicate that AD pathology might not only affect brain function directly, but also exacerbate cognitive deficits through reducing the level of SCFAs via alterations of gut microbiota induced by intestinal amyloid deposition. Our data may support a role of gut microbiota, and suggest a novel route for therapeutic intervention in AD.
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In the citing paper
“gut microbiota dysbiosis has been implicated in behavioral and neurologic pathologies, such as depression, Alzheimer's (AD) and Parkinson's (PD) diseases and autism spectrum disorder (ASD) (9, 21, 25–27).”
From The Role of Short-Chain Fatty Acids From Gut Microbiota in Gut-Brain Communication (2020) · cites this paper as [25]
In the citing paper
“Accumulating evidence has demonstrated that key neuropathological processes underlying AD might also be modulated by SCFAs (25, 34, 158, 159).”
From The Role of Short-Chain Fatty Acids From Gut Microbiota in Gut-Brain Communication (2020) · cites this paper as [25]
In the citing paper
“Consistent with this notion, a study by Zhang and coworkers showed that the microbiota composition and diversity were perturbed and the level of SCFAs was reduced in AD mice, predicting alterations in more than 30 metabolic pathways, which may be associated with amyloid deposition and ultrastructural abnormalities in the APP/PS1 mouse model (25).”
From The Role of Short-Chain Fatty Acids From Gut Microbiota in Gut-Brain Communication (2020) · cites this paper as [25]
In the citing paper
“Therefore, modifications of the intestinal flora impact several metabolic pathways in AD mouse models, that could be leading to cognitive defects, amyloid deposition, and intestinal abnormalities (165).”
From The gut-brain axis: how microbiota and host inflammasome influence brain physiology and pathology (2020) · cites this paper as [165]
Citations
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Naive Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 20,145
UPARSE: highly accurate OTU sequences from microbial amplicon reads
Edgar, R. C. (2013) · Nature Methods · doi:10.1038/nmeth.2604 · Cited by 16,770
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
UCHIME improves sensitivity and speed of chimera detection
Edgar, R. C., Haas, B. J., Clemente, J. C., Quince, C., & Knight, R. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr381 · Cited by 15,114
Simpson, E. (1949) · Nature · doi:10.1038/163688a0 · Cited by 14,809
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Diversity of the Human Intestinal Microbial Flora
Eckburg, P. B., Bik, E. M., Bernstein, C. N., Purdom, E., Dethlefsen, L., Sargent, M., Gill, S. R., Nelson, K. E., & Relman, D. A. (2005) · Science · doi:10.1126/science.1110591 · Cited by 7,913
2016 Alzheimer's disease facts and figures
Alzheimer's Association (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.03.001 · Cited by 5,069
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
Research works printed but not linked: 2
- Hill, 2014, Pathogenic microbes, the microbiome, and Alzheimer’sdisease (AD), Front Aging Neurosci, 6, 127
- Kaakoush, 2015, Insights into the role of Erysipelotrichaceaein the human host, Front Cell InfectMicrobiol, 5, 84
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
The Role of Short-Chain Fatty Acids From Gut Microbiota in Gut-Brain Communication
Silva, Y. P., Bernardi, A., & Frozza, R. L. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00025 · Cited by 3,043
“SCFAs and Alzheimer’s Disease Accumulating evidence has demonstrated that key neuropathological processes underlying AD might also be modulated by SCFAs (25, 34, 158, 159).”
BackgroundResultThe gut microbiome in neurological disorders
Cryan, J. F., O'Riordan, K. J., Sandhu, K., Peterson, V., & Dinan, T. G. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(19)30356-4 · Cited by 1,336
Chen, Y., Xu, J., & Chen, Y. (2021) · Nutrients · doi:10.3390/nu13062099 · Cited by 917
Gut Microbiota is Altered in Patients with Alzheimer’s Disease
Zhuang, Z.-Q., Shen, L.-L., Li, W.-W., Fu, X., Zeng, F., Gui, L., Lü, Y., Cai, M., Zhu, C., Tan, Y.-L., et al. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-180176 · Cited by 885
Metadata
- Authors
- Zhang, L., Wang, Y., Xiayu, X., Shi, C., Chen, W., Song, N., Fu, X., Zhou, R., Xu, Y.-F., Huang, L., Zhu, H., Han, Y., & Qin, C.
- Affiliations
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Key Laboratory of Human Diseases Comparative Medicine, Ministry of Health, Institute of Medical Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS), Beijing, China
- Corresponding author
- Qin, Chuan
- Venue
- Journal of Alzheimer s Disease
- Publisher
- SAGE Publications
- Published
- 2017-11-07
- Volume
- 60
- Issue
- 4
- Pages
- 1241-1257
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- OpenAlex
- W2762048636
- Cited by
- 449
- References
- 74
- Citations by year
- 2026: 18 · 2025: 62 · 2024: 72 · 2023: 76 · 2022: 63 · 2021: 74 · 2020: 45 · 2019: 30 · 2018: 9
- FWCI
- 9.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Alzheimer s Disease (publishedVersion)
- PubMed (publishedVersion)
- 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 › Gastroenterology › Gastrointestinal motility and disorders
- Keywords
- Alzheimer's disease, gut microbiota
- MeSH terms
- Gastrointestinal Microbiome, Aging, Alzheimer Disease, Animals, Disease Models, Animal, Fatty Acids, Volatile, Feces, Intestines, Male, Mice, Transgenic, Computational Biology
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