인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The gut microbiota changes throughout life, potentially influencing health and triggering physiological disorders. Frailty syndrome (FS) is an age-related condition that reduces quality of life and increases hospitalization and mortality risks, making early detection and prevention essential in older populations. This study analyzed 16S rRNA gene and metagenomics sequencing of fecal samples from 203 older adults (FS: n = 64, non-FS (NFS): n = 139) to assess the role of gut microbiota in FS and related comorbidities, such as sarcopenia and impaired lower extremity function (ILEF) or anthropometric variables. Consistent taxonomic patterns were observed: Eggerthella, Parabacteroides, and Erysipelatoclostridium were significantly abundant in FS, while Christensenellaceae R-7 group, Erysipelotrichaceae UCG-003, and Hungatella were enriched in NFS. Christensenellaceae R-7 group was also associated with better mobility. Metagenomics analysis identified 680 KEGG functions differing between groups, categorized into 28 metabolic pathways. FS individuals had overrepresented biotin metabolism, antimicrobial resistance, and energy production, but underrepresented ribosomal and protein synthesis and sporulation pathways. Resistome analysis found the tetM/tetO (K18220) gene most abundant, alongside tetracycline, β-lactam, and macrolide resistance, primarily mediated by antibiotic efflux and transporters. These findings highlight distinct microbial and functional signatures associated with FS, underscoring the complex interplay between the gut microbiota and host physiology in aging. Adjusting for covariates, age and diabetes acted as confounding factors in FS for both 16S gene and metagenomics sequencing. This study offers new insights into fundamental questions in the biology of aging and opens avenues for microbiota-targeted strategies to improve the quality of life in older adults.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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