Analysis of Oral Microbiota in Elderly Thai Patients with Alzheimer’s Disease and Mild Cognitive Impairment
Narongrit Sritana () and
Atitaya Phungpinij
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Narongrit Sritana: Molecular and Genomics Research Laboratory, Centre of Learning and Research in Celebration of HRH Princess Chulabhorn’s 60 th Birthday Anniversary, Chulabhorn Royal Academy, Bangkok 10210, Thailand
Atitaya Phungpinij: Molecular and Genomics Research Laboratory, Centre of Learning and Research in Celebration of HRH Princess Chulabhorn’s 60 th Birthday Anniversary, Chulabhorn Royal Academy, Bangkok 10210, Thailand
IJERPH, 2024, vol. 21, issue 9, 1-15
Abstract:
Alzheimer’s disease (AD) is a neurodegenerative disease that predominantly affects the older adult population. Neuroinflammation may be triggered by the migration of oral microbiota composition changes from the oral cavity to the brain. However, the relationship between oral microbiota composition and neurodegenerative diseases, such as AD, remains poorly understood. Therefore, we conducted a comprehensive comparison of the relative abundance and diversity of bacterial taxa present in saliva among older adults diagnosed with AD, those with mild cognitive impairment (MCI), and healthy controls. Saliva samples and clinical data were collected from 10 AD patients, 46 MCI patients, and 44 healthy older adults. AD patients had lower Clinical Dementia Rating, Montreal Cognitive Assessment, and Mini-mental Status Examination scores, and induced microbial diversity, than the MCI and control groups. Moreover, AD patients exhibited significantly higher levels of Fusobacteriota and Peptostreptococcaceae and lower levels of Veillonella than the MCI and control groups. In conclusion, a high abundance of Fusobacteria at various levels (i.e., phylum, class, family, and genus levels) may serve as a biomarker for AD. The analysis of oral microbiota dysbiosis biomarkers in older adults may be valuable for identifying individuals at risk for AD.
Keywords: Alzheimer’s disease; dementia; neurobiology; oral; microbiome; long read next-generation sequencing (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:21:y:2024:i:9:p:1242-:d:1481523
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