A Systematic Review and Meta-analysis of Randomized Controlled Trials on the Effects of Turmeric and Curcuminoids on Blood Lipids in Adults with Metabolic Diseases

医学 血脂异常 科克伦图书馆 荟萃分析 内科学 随机对照试验 胆固醇 血脂 传统医学 胃肠病学 内分泌学 疾病
作者
Fen Yuan,Hui Dong,Jing Gong,Dingkun Wang,Meilin Hu,Wenya Huang,Ke Fang,Xin Qin,Xin Qiu,Xueping Yang,Fuer Lu
出处
期刊:Advances in Nutrition [Elsevier BV]
卷期号:10 (5): 791-802 被引量:31
标识
DOI:10.1093/advances/nmz021
摘要

Dyslipidemia is a global health problem and a high risk factor for atherosclerosis, which can lead to serious cardiovascular disease (CVD). Existing studies have shown inconsistent effects of turmeric and curcuminoids on blood lipids in adults. We performed this systematic review and meta-analysis to evaluate the effects of turmeric and curcuminoids on blood triglycerides (TG), total cholesterol (TC), LDL cholesterol, and HDL cholesterol. We searched the English databases of the Web of Science, PubMed, Ovid (including EMBASE and MEDLINE), Scopus, and the Cochrane Library and 2 Chinese databases, Wanfang Data and China National Knowledge Infrastructure, for randomized controlled trials (RCTs) that studied the effects of turmeric and curcuminoids on blood TG, TC, LDL cholesterol, and HDL cholesterol in subjects with metabolic diseases. With random-effects models, separate meta-analyses were conducted by using inverse-variance. The results are presented as the mean difference with 95% CIs. Evidence from 12 RCTs for TG, 14 RCTs for TC, 13 RCTs for LDL cholesterol, and 16 RCTs for HDL cholesterol showed that turmeric and curcuminoids could lower blood TG by -19.1 mg/dL (95% CI: -31.7, -6.46 mg/dL; P = 0.003), TC by -11.4 mg/dL (95% CI: -17.1, -5.74 mg/dL; P < 0.0001), and LDL cholesterol by -9.83 mg/dL (95% CI: -15.9, -3.74 mg/dL; P = 0.002), and increase HDL cholesterol by 1.9 mg/dL (95% CI: 0.31, 3.49 mg/dL; P = 0.02). In conclusion, turmeric and curcuminoids can significantly modulate blood lipids in adults with metabolic diseases. However, these findings should be interpreted cautiously because of the significant heterogeneity between included studies (I2 > 50%). There is a need for further RCTs in future.

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