Sharma Shweta, Prizment Anna, Nelson Heather, Zhang Lin, Staley Christopher, Poynter Jenny N, Seshadri Gokul, Ellison Aidan, Thyagarajan Bharat
Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA.
Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN 55455, USA.
Microorganisms. 2024 Aug 20;12(8):1719. doi: 10.3390/microorganisms12081719.
Factors driving accelerated biological age (BA), an important predictor of chronic diseases, remain poorly understood. This study focuses on the impact of diet and gut microbiome on accelerated BA. Accelerated Klemera-Doubal biological age (KDM-BA) was estimated as the difference between KDM-BA and chronological age. We assessed the cross-sectional association between accelerated KDM-BA and diet/gut microbiome in 117 adult participants from the 10,000 Families Study. 16S rRNA sequencing was used to estimate the abundances of gut bacterial genera. Multivariable linear mixed models evaluated the associations between accelerated KDM-BA and diet/gut microbiome after adjusting for family relatedness, diet, age, sex, smoking status, alcohol intake, and BMI. One standard deviation (SD) increase in processed meat was associated with a 1.91-year increase in accelerated KDM-BA ( = 0.04), while one SD increase in fiber intake was associated with a 0.70-year decrease in accelerated KDM-BA ( = 0.01). Accelerated KDM-BA was positively associated with and negatively associated with , unclassified and Adjustment for gut microbiome did not change the association between dietary fiber and accelerated KDM-BA, but the association with processed meat intake became nonsignificant. These cross-sectional associations between higher meat intake, lower fiber intake, and accelerated BA need validation in longitudinal studies.
作为慢性疾病重要预测指标的加速生物年龄(BA)的驱动因素仍知之甚少。本研究聚焦于饮食和肠道微生物群对加速生物年龄的影响。加速克莱梅拉-杜巴尔生物年龄(KDM-BA)通过KDM-BA与实际年龄的差值来估算。我们在来自“万家家庭研究”的117名成年参与者中评估了加速KDM-BA与饮食/肠道微生物群之间的横断面关联。采用16S rRNA测序来估算肠道细菌属的丰度。多变量线性混合模型在调整了家族相关性、饮食、年龄、性别、吸烟状况、酒精摄入量和体重指数后,评估了加速KDM-BA与饮食/肠道微生物群之间的关联。加工肉类摄入量增加一个标准差(SD)与加速KDM-BA增加1.91岁相关(P = 0.04),而纤维摄入量增加一个标准差与加速KDM-BA减少0.70岁相关(P = 0.01)。加速KDM-BA与[具体细菌名称1]呈正相关,与[具体细菌名称2]、未分类的[细菌名称3]和[细菌名称4]呈负相关。对肠道微生物群进行调整后,膳食纤维与加速KDM-BA之间的关联未改变,但与加工肉类摄入量之间的关联变得不显著。较高的肉类摄入量、较低的纤维摄入量与加速生物年龄之间的这些横断面关联需要在纵向研究中进行验证。