TY - JOUR
T1 - Altered gut microbiota in older adults with mild cognitive impairment
T2 - a case-control study
AU - Fan, Kang Chen
AU - Lin, Chen Ching
AU - Liu, Yi Chien
AU - Chao, Yi Ping
AU - Lai, Yen Jun
AU - Chiu, Yen Ling
AU - Chuang, Yi Fang
N1 - Publisher Copyright:
Copyright © 2023 Fan, Lin, Liu, Chao, Lai, Chiu and Chuang.
PY - 2023
Y1 - 2023
N2 - Introduction: The microbiota-gut-brain axis is implicated in Alzheimer’s disease. Gut microbiota alterations in mild cognitive impairment (MCI) are inconsistent and remain to be understood. This study aims to investigate the gut microbial composition associated with MCI, cognitive functions, and structural brain differences. Methods: A nested case-control study was conducted in a community-based prospective cohort where detailed cognitive functions and structural brain images were collected. Thirty-one individuals with MCI were matched to sixty-five cognitively normal controls by age strata, gender, and urban/rural area. Fecal samples were examined using 16S ribosomal RNA (rRNA) V3–V4 sequencing. Compositional differences between the two groups were identified and correlated with the cognitive functions and volumes/thickness of brain structures. Results: There was no significant difference in alpha and beta diversity between MCIs and cognitively normal older adults. However, the abundance of the genus Ruminococcus, Butyricimonas, and Oxalobacter decreased in MCI patients, while an increased abundance of nine other genera, such as Flavonifractor, were found in MCIs. Altered genera discriminated MCI patients well from controls (AUC = 84.0%) and were associated with attention and executive function. Conclusion: This study provides insights into the role of gut microbiota in the neurodegenerative process.
AB - Introduction: The microbiota-gut-brain axis is implicated in Alzheimer’s disease. Gut microbiota alterations in mild cognitive impairment (MCI) are inconsistent and remain to be understood. This study aims to investigate the gut microbial composition associated with MCI, cognitive functions, and structural brain differences. Methods: A nested case-control study was conducted in a community-based prospective cohort where detailed cognitive functions and structural brain images were collected. Thirty-one individuals with MCI were matched to sixty-five cognitively normal controls by age strata, gender, and urban/rural area. Fecal samples were examined using 16S ribosomal RNA (rRNA) V3–V4 sequencing. Compositional differences between the two groups were identified and correlated with the cognitive functions and volumes/thickness of brain structures. Results: There was no significant difference in alpha and beta diversity between MCIs and cognitively normal older adults. However, the abundance of the genus Ruminococcus, Butyricimonas, and Oxalobacter decreased in MCI patients, while an increased abundance of nine other genera, such as Flavonifractor, were found in MCIs. Altered genera discriminated MCI patients well from controls (AUC = 84.0%) and were associated with attention and executive function. Conclusion: This study provides insights into the role of gut microbiota in the neurodegenerative process.
KW - 16S ribosomal RNA
KW - cognitive functions
KW - gut microbiota
KW - mild cognitive impairment
KW - structural brain imaging
UR - http://www.scopus.com/inward/record.url?scp=85162990935&partnerID=8YFLogxK
U2 - 10.3389/fnagi.2023.1162057
DO - 10.3389/fnagi.2023.1162057
M3 - Article
AN - SCOPUS:85162990935
SN - 1663-4365
VL - 15
JO - Frontiers in Aging Neuroscience
JF - Frontiers in Aging Neuroscience
M1 - 1162057
ER -