Impact of L-carnitine supplementation on lipid profile parameters in overweight and obese women: a systematic review and meta-analysis of randomized controlled trials.
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引用次数: 0
Abstract
Background and aim: L-carnitine plays a central role in fatty acid metabolism and has been proposed as a potential strategy for improving lipid regulation. However, evidence from clinical trials remains inconsistent, and female-specific data are scarce. This systematic review and meta-analysis aimed to evaluate the effects of L-carnitine supplementation on lipid profiles specifically in women with overweight or obesity.
Methods: A systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted in accordance with PRISMA guidelines. Eligible studies enrolled women with BMI ≥ 25 kg/m² and compared L-carnitine supplementation with placebo or no intervention. Pooled weighted mean differences (WMDs) with 95% confidence intervals (CIs) were calculated using a random-effects model.
Results: Ten RCTs were included. L-carnitine supplementation significantly reduced TG (WMD: - 8.01 mg/dL; 95%CI: - 15.21 to - 0.81), TC (WMD: - 7.85 mg/dL; 95%CI: - 14.54 to - 1.16), and LDL-C (WMD: - 5.59 mg/dL;95%CI: - 10.02 to - 1.16). No significant overall effect was found for HDL-C (WMD:1.09 mg/dL;95%CI: - 1.79 to 3.99). Subgroup analyses indicated stronger effects at higher doses, shorter intervention durations, and in participants with elevated baseline lipid levels.
Conclusion: L-carnitine supplementation provides significant improvements in TG, TC, and LDL-C among overweight and obese women, although HDL-C responses remain inconsistent. These findings suggest a potential adjunctive role for L-carnitine in cardiometabolic risk management.
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.