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
This study aimed to elucidate the causal interplay between dietary habits, gut microbiota composition, circulating metabolites, serum proteins, laboratory biomarkers and kidney stone formation, employing Mendelian randomisation (MR) to identify potential mediators. A rigorous two-sample MR framework was employed to assess the causal associations between kidney stones and a spectrum of predisposing factors. This encompassed dietary patterns, gut microbiota profiles, circulating metabolic intermediates, serum proteins and laboratory test indicators. Significant associations were further analysed using mediation analysis to uncover indirect pathways. Initial significance was determined at p < 0.05, followed by the implementation of False Discovery Rate correction (FDR p < 0.05) to reduce the likelihood of false positives due to multiple comparisons. Direct causal relationships were established between kidney stones and 9 dietary factors (including fruit, alcohol, coffee intake), 11 gut microbiota types, 8 metabolites, 12 plasma proteins and 8 laboratory indicators (CRE, EGFR, CA, UAHDL, APOA, CYS and URNA). Notably, nine mediation pathways were discovered. These pathways reveal the indirect effects of dietary habits on kidney stone formation mediated through laboratory biomarkers. Specifically, five dietary habits-alcohol, coffee, fruit, champagne/white wine and dried fruit consumption-were shown to mediate through seven key factors: APOA, CA, CYS, EGFR, HDL, UA and URNA. Six of these mediations were positive, indicating facilitatory roles, while three exhibited negative mediation, suggestive of competitive inhibition in the diet-kidney stone causal pathway. This MR study underscored the causal links between dietary habits, gut microbiota composition, circulating metabolites, serum proteins, laboratory biomarkers and kidney stone development, shedding light on potential mediators including seven laboratory biomarkers.
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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