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Potential roles of gut microbiota and microbial metabolites in Parkinson’s disease
Abstract
Parkinson's disease (PD) is a complicated neurodegenerative disease attributed to multifactorial changes. However, its pathological mechanism remains undetermined. Accumulating evidence has revealed the emerging functions of gut microbiota and microbial metabolites, which can affect both the enteric nervous system and the central nervous system via the microbiota-gut-brain axis. Accordingly, intestinal dysbiosis might be closely associated with PD. This review explores alterations to gut microbiota, correlations with clinical manifestations of PD, and briefly probes the underlying mechanisms. Next, the highly controversial roles of microbial metabolites including short-chain fatty acids (SCFAs), H 2 and H 2 S are discussed. Finally, the pros and cons of the current treatments for PD, including those targeting microbiota, are assessed. Advancements in research techniques, further studies on levels of specific strains and longitudinal prospective clinical trials are urgently needed for the identification of early diagnostic markers and the development of novel therapeutic approaches for PD.
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“Pathological changes in microbial taxonomy have been observed among PD patients.”
From Neuroprotective Effects of Sodium Butyrate by Restoring Gut Microbiota and Inhibiting TLR4 Signaling in Mice with MPTP-Induced Parkinson’s Disease (2023) · cites this paper as [11]
In the citing paper
“the abundance of Akkermansia, Lactobacillus, and Bacteroides genera increased in PD patients, while that of Prevotella, Faecalibacterium, and Roseburia decreased remarkably [8,9,10,11].”
From Neuroprotective Effects of Sodium Butyrate by Restoring Gut Microbiota and Inhibiting TLR4 Signaling in Mice with MPTP-Induced Parkinson’s Disease (2023) · cites this paper as [11]
In the citing paper
“the abundance of Akkermansia, Lactobacillus, and Bacteroides genera increased in PD patients, while that of Prevotella, Faecalibacterium, and Roseburia decreased remarkably [8,9,10,11].”
From Neuroprotective Effects of Sodium Butyrate by Restoring Gut Microbiota and Inhibiting TLR4 Signaling in Mice with MPTP-Induced Parkinson’s Disease (2023) · cites this paper as [11]
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Flagged first, then by citations
Research works printed but not linked: 2
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- Uyar, 2019, Bioscience of microbiota, Food and Health, 38, 115
Cited by
Sorted by citations
Eicher, T. P., & Mohajeri, M. H. (2022) · Nutrients · doi:10.3390/nu14132661 · Cited by 151
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Metadata
- Authors
- Zheng, S.-Y., Li, H.-X., Xu, R.-C., Miao, W.-T., Dai, M.-Y., Ding, S.-T., & Liu, H.-D.
- Affiliations
- Chongqing Medical University (CN)
- Corresponding author
- Liu, Han-Deng
- ORCID
- Xu, Rui-Chen
- Venue
- Ageing Research Reviews
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 69
- Pages
- 101347
- ISSN
- 1568-1637 (ISSN-L)
- OpenAlex
- W3159541917
- Cited by
- 101
- References
- 249
- Citations by year
- 2026: 9 · 2025: 28 · 2024: 23 · 2023: 23 · 2022: 17 · 2021: 1
- FWCI
- 1.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Ageing Research Reviews (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Chongqing Medical University (SRIEP202005)
- Science and Technology Planning Project of Yuzhong District of Chongqing City (20180112)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Clinical Neurology › Parkinson's Disease Mechanisms and Treatments
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Keywords
- Parkinson's disease, gut microbiota, microbial metabolites, microbiota-gut-brain axis, gut dysbiosis, short-chain fatty acids, hydrogen sulfide, hydrogen, enteric nervous system, neurodegeneration, microbiota-targeted therapy, diagnostic biomarkers
- MeSH terms
- Gastrointestinal Microbiome, Humans, Parkinson Disease, Prospective Studies, Neurodegenerative Diseases, Dysbiosis
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.
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