Campos Laís Teixeira, Fonseca Polimar Ferreira, Rocha Daniela Mayumi Usuda Prado, Bressan Josefina, Kravchychyn Ana Claudia Pelissari, Hermsdorff Helen Hermana Miranda
Laboratory of Clinical Analysis and Genomics; Laboratory of Energy Metabolism and Body Composition, Department of Nutrition and Health (DNS), Universidade Federal de Viçosa (UFV), Viçosa, Minas Gerais, Brazil.
FASEB J. 2025 Aug 15;39(15):e70913. doi: 10.1096/fj.202500951R.
This systematic review investigated differences in daily energy intake among genotypes of circadian clock genes, potentially supporting personalized nutritional strategies for health. This topic can help develop personalized nutritional strategies for metabolic health by evaluating SNPs in circadian clock genes that may influence dietary intake. We searched the PubMed, EMBASE, and Cochrane Library databases following PRISMA guidelines and assessed the risk of bias using the Joanna Briggs Institute (JBI) tool (PROSPERO: CRD42024601530). Ten studies were included, involving 12,115 adult and elderly participants (mean age 40.8 ± 8.6 years; 60.6% women). Six studies investigated the SNP CLOCK rs1801260, while four analyzed the SNPs CLOCK rs4580704, CLOCK rs3749474, CRY1 rs2287161, and CRY2 rs11605924, with one study for each. Only one study found an association between the minor allele of CLOCK rs1801260 and increased energy, carbohydrate, and lipid intake, as well as later meal timing. Individuals with at least one risk allele (C) had higher intake and later mealtimes than those with the wild-type allele (TT). The inconsistent associations across studies may be attributed to methodological limitations, including dietary assessment, sample size, genetic model classification, population characteristics, and environmental factors, such as including dietary patterns, chronotype, night shift work, sleep, and meal timing. Future research should adopt more comprehensive approaches to better clarify the impact of circadian gene variants on eating behavior.
本系统评价调查了昼夜节律钟基因不同基因型之间每日能量摄入的差异，这可能为健康的个性化营养策略提供支持。该主题可以通过评估可能影响饮食摄入的昼夜节律钟基因中的单核苷酸多态性（SNP），来帮助制定针对代谢健康的个性化营养策略。我们按照PRISMA指南检索了PubMed、EMBASE和Cochrane图书馆数据库，并使用乔安娜·布里格斯研究所（JBI）工具（PROSPERO：CRD42024601530）评估偏倚风险。纳入了10项研究，涉及12115名成人和老年人参与者（平均年龄40.8±8.6岁；60.6%为女性）。6项研究调查了SNP CLOCK rs1801260，4项研究分析了SNP CLOCK rs4580704、CLOCK rs3749474、CRY1 rs2287161和CRY2 rs11605924，每项各有1项研究。只有1项研究发现CLOCK rs1801260的次要等位基因与能量、碳水化合物和脂质摄入量增加以及进餐时间推迟之间存在关联。至少有一个风险等位基因（C）的个体比野生型等位基因（TT）的个体摄入量更高且进餐时间更晚。研究结果不一致可能归因于方法学上的局限性，包括饮食评估、样本量、遗传模型分类、人群特征以及环境因素，如饮食模式、昼夜节律类型、夜班工作、睡眠和进餐时间。未来的研究应采用更全面的方法，以更好地阐明昼夜节律基因变异对饮食行为的影响。
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