背景:黑皮素-4受体基因(MC4R)通过rs17782313中C等位基因的存在与较高的肥胖风险相关,但其机制尚不清楚。
目的:本系统综述和荟萃分析旨在探讨MC4Rrs17782313不同基因型与能量摄入和食欲的关系。
方法:截至2023年6月,在PubMed进行了文献检索,Scopus,WebofScience,和Cochrane协作数据库,遵循PRISMA准则。
方法:纳入标准是测量人体能量摄入的研究,食欲,或在所有年龄和生理条件下的饱腹感。排除了仅涉及体重指数的研究。代表48560名参与者的21篇文章被纳入荟萃分析。
方法:根据NHLBI(国家心脏,肺,和血液研究所)质量评估标准,所有病例对照研究和17项队列和横断面研究中的6项被归类为“良好”,“而其余的得分为“公平”。“在(CT+CC)和TT显性模型中计算赔率比(OR)和95%置信区间(CI),并使用随机效应和固定效应模型。使用固定效应模型,发现C等位基因的存在与食欲增加之间存在统计学上的显着关联(OR=1.25;95%CI:1.01-1.49;P=0.038),但随机效应模型被证明是不重要的。然而,未发现与能量摄入相关.不考虑任何变量(样本量,出版年份,性别,年龄组,人口类型,origin,和质量)被确定为效果改性剂,亚组和荟萃回归分析后未发现发表偏倚.
结论:据我们所知,这是首次对MC4Rrs17782313与能量摄入和食欲之间的相关性进行系统评价和荟萃分析.识别基因倾向于食欲增加的人可能会引起极大的兴趣,不仅可以防止年轻人肥胖,还可以避免老年人营养不良。本文是精准营养营养营养评论特别收藏的一部分。
背景:PROSPERO注册号。CRD42023417916。
BACKGROUND: The melanocortin-4 receptor gene (MC4R) is associated with a higher risk of obesity by the presence of the C allele in rs17782313, but the mechanisms are not clear.
OBJECTIVE: The present systematic
review and meta-analysis aimed to explore the association between the different genotypes of MC4R rs17782313 and energy intake and appetite.
METHODS: A literature search was conducted up to June 2023 in PubMed, Scopus, Web of Science, and Cochrane Collaboration databases, following PRISMA guidelines.
METHODS: Inclusion criteria were studies in humans measuring energy intake, appetite, or satiety in all ages and physiological conditions. Studies dealing solely with body mass index were excluded. Twenty-one articles representing 48 560 participants were included in the meta-analysis.
METHODS: According to the NHLBI (National Heart, Lung, and Blood Institute) quality-assessment criteria, all case-control studies and 6 out of 17 cohort and cross-sectional studies were classified as \"good,\" while the rest scored as \"fair.\" Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated in a (CT+CC) vs TT dominant model, and both random-effects and fixed-effects models were used. A statistically significant association between the presence of the C allele and increased appetite was found (OR = 1.25; 95% CI: 1.01-1.49; P = .038) using the fixed-effects model, but the random-effects model proved nonsignificant. However, no association with energy intake was found. None of the variables considered (sample size, year of publication, sex, age group, type of population, origin, and quality) were identified as effect modifiers, and no publication biases were found after subgroup and meta-regression analyses.
CONCLUSIONS: To our knowledge, this is the first systematic
review and meta-analysis that has analyzed the association between rs17782313 of MC4R and energy intake and appetite. Identifying people genetically predisposed to increased appetite may be of great interest, not only to prevent obesity in younger populations but also to avoid malnutrition in elderly persons. This paper is part of the Nutrition Reviews Special Collection on Precision Nutrition.
BACKGROUND: PROSPERO registration no. CRD42023417916.