Hsi-Cheng Hung, Yuan-Yuan Lin, Wan-Jung Tien, Yu-Yoh Chen, Suh-Ching Yang
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引用次数: 0
Abstract
Background: Many studies on gut microbiota and hypertension have not focused on detailed dietary intake and eating habits, especially in older adults. This cross-sectional study aimed to examine the gut microbiota profiles of hypertensive elderly individuals in relation to their dietary patterns and nutrient intake.
Methods: Twenty hypertensive patients and 21 age-matched healthy controls (aged 65-80 years) were recruited from Cathay General Hospital (Taipei, Taiwan). Data collected included anthropometric measurements, blood pressure, blood biochemical analyses, and dietary intake (24-h recall and food frequency questionnaires) and fecal microbiotic composition (via 16S rRNA sequencing).
Results: Hypertensive patients had significantly higher BMI, waist circumference, and systolic blood pressure. They also showed lower levels of Bacteroides caccae and Barnesiella, and higher levels of Enterobacteriaceae, Enterobacter, Acidaminococcus, and Bacteroides plebeius. Bacteroides caccae abundance was negatively correlated with the intake of saturated fats, sodium, staple foods (e.g., bread, steamed buns, noodles), nut oils, and seasonings.
Conclusions: Hypertensive patients showed distinct gut microbiota profiles, with lower levels of Bacteroides caccae and Barnesiella, and higher levels of Enterobacteriaceae-related taxa. The abundance of Bacteroides caccae was negatively associated with the intake of saturated fats, sodium, and staple foods, suggesting a link between diet, gut microbiota, and hypertension.
期刊介绍:
Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects.
The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases.
Key areas we wish to encourage submissions from include:
-how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes;
-the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components;
-how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved;
-how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.