Microbiota‐microglia connections in age‐related cognition decline
Open accessAbstract
Aging is an inevitable process that all individuals experience, of which the extent differs among individuals. It has been recognized as the risk factor of neurodegenerative diseases by affecting gut microbiota compositions, microglia, and cognition abilities. Aging‐induced changes in gut microbiota compositions have a critical role in orchestrating the morphology and functions of microglia through the gut‐brain axis. Gut microbiota communicates with microglia by its secreted metabolites and neurotransmitters. This is highly associated with age‐related cognitive declines. Here, we review the main composition of microbiota in the aged individuals, outline the changes of the brain in age‐related cognitive decline from a neuroinflammation perspective, especially the changes of morphology and functions of microglia, discuss the crosstalk between microbiota and microglia in the aged brain and further highlight the role of microbiota‐microglia connections in neurodegenerative diseases (Alzheimer's disease and Parkinson's disease).
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The microbiota-gut-brain axis represents an important regulator of glial functions, making it an actionable target to ameliorate the development and progression of neurodegenerative diseases.
“The microbiota–gut–brain axis represents an important regulator of glial functions, making it an actionable target to ameliorate the development and progression of neurodegenerative diseases.”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [60]
Throughout the host lifespan, the gut microbiome provides essential signals to microglia during health and disease.
“Throughout the host lifespan, the gut microbiome provides essential signals to microglia during health and disease.59,60,187,188”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [60]
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Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases
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- Authors
- Zhou, R., Qian, S., Cho, W. C. S., Zhou, J., Jin, C., Zhong, Y., Wang, J., Zhang, X., Xu, Z., Tian, M., Chan, L. W. C., & Zhang, H.
- Affiliations
- Hong Kong Polytechnic University (HK)
- Second Affiliated Hospital of Zhejiang University (CN)
- Queen Elizabeth Hospital (CN)
- Corresponding author
- Tian, Mei
- Chan, Lawrence W. C.
- Zhang, Hong
- ORCID
- Venue
- Aging Cell
- Publisher
- Wiley
- Published
- 2022-03-29
- Volume
- 21
- Issue
- 5
- Pages
- e13599-e13599
- ISSN
- 1474-9718 (ISSN-L)
- 1474-9726
- PMC
- PMC9124309
- OpenAlex
- W4221067042
- Cited by
- 71
- References
- 209
- Citations by year
- 2026: 13 · 2025: 20 · 2024: 13 · 2023: 20 · 2022: 5
- FWCI
- 1.49
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Aging Cell (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (81725009, 21788102, 82030049)
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- gut microbiota, microglia, age-related cognitive decline, gut-brain axis, neuroinflammation, neurodegenerative diseases, Alzheimer's disease, Parkinson's disease, brain aging, microbial metabolites, neurotransmitters
- MeSH terms
- Aged, Brain, Cognition, Humans, Microglia, Neurodegenerative Diseases, Cognitive Dysfunction, Microbiota
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.
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