TY - JOUR
T1 - Potential Modulatory Roles of Gut Microbiota and Metabolites in the Associations of Macronutrient-to-Physical Activity Ratios With Dyslipidemia
AU - Wang, Menghan
AU - Ma, Guoqing
AU - Li, Yunfeng
AU - Li, Junqi
AU - Xie, Jiawen
AU - He, Juan
AU - He, Chen
AU - He, Yifei
AU - Jia, Kaizhen
AU - Feng, Xinran
AU - Tian, Tian
AU - Li, Hongbao
AU - Liao, Xia
AU - Liu, Xin
N1 - Publisher Copyright:
© 2025 The Author(s). Published on behalf of the American Heart Association, Inc., by Wiley.
PY - 2025/5/20
Y1 - 2025/5/20
N2 - BACKGROUND: Lifestyle factors toward diet and physical activity (PA) may directly influence the pathophysiology of dyslipidemia. However, the associations of the specific macronutrient-to-PA ratio with dyslipidemia, and the underlying mechanisms regarding gut microbiota and metabolites, remain largely unexplored. METHODS: Dietary and PA information from 273 participants with or at risk of metabolic syndrome was collected via a food frequency questionnaire and the International Physical Activity Questionnaire. Gut microbial genera and fecal metabolites were profiled through 16S rRNA sequencing and untargeted LC–MS metabolomics, respectively. Machine-learning algorithms were applied to identify gut microbiome features of macronutrient-to-PA ratios and to construct microbiome risk score. RESULTS: Higher macronutrient-to-PA ratios, especially for high saturated fatty acid intake, were associated with increased risks of dyslipidemia, with adjusted odds ratio (95% CIs) of 2.87 (1.41–5.99) for hypercholesteremia, 2.21 (1.11–4.48) for hypertriglyceridemia, and 2.52 (1.26–5.16) for high low-density lipoprotein cholesterol. Microbiome risk scores were significantly associated with elevated levels of total cholesterol, triglycerides, and low-density lipoprotein cholesterol. Additionally, for each macronutrient-to-PA ratio, a core group of gut microbial genera were identified (eg, Phocaeicola, Lachnoclostridium, Limosilactobacillus, and Tyzzerella), exhibiting positive associations with lipid disorders and superior discrimination capacities for hypercholesterolemia, hypertriglyceridemia, and high low-density lipoprotein cholesterol. Furthermore, we identified 9 metabolites (eg, acetyl phosphate, glycerol, and pyruvic acid), predominantly enriched in dyslipidemia-related pathways and associated with both core gut microbial taxa and macronutrient-to-PA ratios. CONCLUSIONS: This study identified varied associations between macronutrient-to-PA ratios and dyslipidemia and depicted the potential modulatory roles of gut microbiota and fecal metabolites.
AB - BACKGROUND: Lifestyle factors toward diet and physical activity (PA) may directly influence the pathophysiology of dyslipidemia. However, the associations of the specific macronutrient-to-PA ratio with dyslipidemia, and the underlying mechanisms regarding gut microbiota and metabolites, remain largely unexplored. METHODS: Dietary and PA information from 273 participants with or at risk of metabolic syndrome was collected via a food frequency questionnaire and the International Physical Activity Questionnaire. Gut microbial genera and fecal metabolites were profiled through 16S rRNA sequencing and untargeted LC–MS metabolomics, respectively. Machine-learning algorithms were applied to identify gut microbiome features of macronutrient-to-PA ratios and to construct microbiome risk score. RESULTS: Higher macronutrient-to-PA ratios, especially for high saturated fatty acid intake, were associated with increased risks of dyslipidemia, with adjusted odds ratio (95% CIs) of 2.87 (1.41–5.99) for hypercholesteremia, 2.21 (1.11–4.48) for hypertriglyceridemia, and 2.52 (1.26–5.16) for high low-density lipoprotein cholesterol. Microbiome risk scores were significantly associated with elevated levels of total cholesterol, triglycerides, and low-density lipoprotein cholesterol. Additionally, for each macronutrient-to-PA ratio, a core group of gut microbial genera were identified (eg, Phocaeicola, Lachnoclostridium, Limosilactobacillus, and Tyzzerella), exhibiting positive associations with lipid disorders and superior discrimination capacities for hypercholesterolemia, hypertriglyceridemia, and high low-density lipoprotein cholesterol. Furthermore, we identified 9 metabolites (eg, acetyl phosphate, glycerol, and pyruvic acid), predominantly enriched in dyslipidemia-related pathways and associated with both core gut microbial taxa and macronutrient-to-PA ratios. CONCLUSIONS: This study identified varied associations between macronutrient-to-PA ratios and dyslipidemia and depicted the potential modulatory roles of gut microbiota and fecal metabolites.
KW - dietary macronutrient
KW - dyslipidemia
KW - gut microbiota
KW - metabolome
KW - physical activity
UR - https://www.scopus.com/pages/publications/105005986155
U2 - 10.1161/JAHA.124.040042
DO - 10.1161/JAHA.124.040042
M3 - 文章
C2 - 40371613
AN - SCOPUS:105005986155
SN - 2047-9980
VL - 14
JO - Journal of the American Heart Association
JF - Journal of the American Heart Association
IS - 10
M1 - e040042
ER -