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Elderly Patients with Mild Cognitive Impairment Exhibit Altered Gut Microbiota Profiles
Qiong Pan1, Ya-Qian Li2, Ke Guo3
1Department of Obstetrics and Gynecology, The Third Xiangya Hospital of Central South University, Changsha, China.
Background:
As a transitional state between normal aging and Alzheimer's disease (AD), mild cognitive impairment (MCI) is characterized by a worse cognitive decline than that of natural aging. The association between AD and gut microbiota has been reported in a number of studies; however, microbial research regarding MCI remains limited.
Methods:
This study examined 48 participants, of whom 22 were MCI cases and 26 were normal control cases. Fecal samples were collected for 16S ribosomal RNA (rRNA) quantitative arrays and bioinformatics analysis.
Results:
A principal coordinates analysis (PCoA) and nonmetric multidimensional scaling (NMDS) both demonstrated that the microbial composition of participants with MCI deviated from that of healthy control participants. Multiple bacterial species were significantly increased (e.g., Staphylococcus intermedius) or decreased (e.g., Bacteroides salyersiae) in samples from the MCI group.
Conclusion:
The composition of gut microbiota differed between normal control and MCI cases. This is the first study to identify a signature series of species in the gut microbiota of individuals with MCI. The results provide a new direction for the future development of an early diagnosis and probiotic regimen.
Insights
Gut microbiota composition differs in mild cognitive impairment (MCI). This study identified specific bacterial species changes in MCI patients, offering potential for early diagnosis and probiotic treatments.
Area of Science:
- Microbiome research
- Neuroscience
- Human health
Background:
- Mild cognitive impairment (MCI) is a transitional stage between normal aging and Alzheimer's disease.
- While the gut-brain axis is implicated in Alzheimer's, MCI-specific microbial research is limited.
Purpose of the Study:
- To investigate differences in gut microbiota composition between individuals with MCI and healthy controls.
- To identify potential microbial biomarkers for MCI.
Main Methods:
- Analysis of fecal samples from 48 participants (22 MCI, 26 controls) using 16S rRNA quantitative arrays.
- Bioinformatics analysis, including Principal Coordinates Analysis (PCoA) and Nonmetric Multidimensional Scaling (NMDS).
Main Results:
- Gut microbial composition significantly differed between MCI and control groups.
- Specific bacterial species, such as *Staphylococcus intermedius* and *Bacteroides salyersiae*, were found to be altered in MCI patients.
Conclusions:
- Gut microbiota composition serves as a distinguishing factor between MCI and healthy individuals.
- This study presents the first identified gut microbial signature for MCI.
- Findings suggest potential for early MCI diagnosis and novel probiotic-based therapeutic strategies.
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