铜暴露与代谢综合征的关联：一项剂量-反应荟萃分析。
完整摘要 · 中文译文
背景：代谢综合征（MetS）代表一组相互关联的代谢紊乱，其全球患病率不断上升。铜（Cu）暴露与MetS发生几率的关联尚不明确。本剂量-反应荟萃分析旨在探讨尿铜和血清铜浓度与MetS之间的关系。 方法：我们检索了Cochrane图书馆、Web of Science、PubMed和Scopus，检索时间自建库至2026年2月4日。纳入提供血清铜或尿铜与MetS关系关联估计值的研究。合并效应量以比值比（OR）及95%置信区间（CI）表示，采用随机效应模型计算。 结果：共纳入23项研究，涉及69，121名参与者和9，964例MetS病例。较高的血清铜浓度与MetS发生几率升高显著相关（OR = 1.17，95% CI = 1.02-1.35），异质性较大（I² = 79.6%，P < 0.001）。剂量-反应分析未发现显著的线性关联；然而，发现了显著的非线性关系，当血清铜浓度高于约1，100 µg/L时，MetS发生几率升高更为明显（P = 0.047）。较高的尿铜浓度也与MetS发生几率升高显著相关（OR = 1.41，95% CI：1.03-1.95；I² = 83.1%）。在对生活方式相关因素和BMI进行调整后，血清铜和尿铜的关联均减弱。 结论：血清铜和尿铜浓度升高与MetS发生几率升高显著相关，并有证据表明存在非 非线性剂量-反应关联。生活方式因素可能混杂这一关联。 临床试验编号：不适用。
完整摘要 · 英文原文
BACKGROUND: Metabolic syndrome (MetS) represents a cluster of interconnected metabolic derangements with a growing global prevalence. The association of copper (Cu) exposure with the odds of MetS remains unclear. This dose-response meta-analysis aimed to examine the relationship between urinary and serum Cu concentrations and MetS. METHODS: We searched Cochrane library, Web of Science, PubMed, and Scopus from inception to 4 February 2026. Studies providing association estimates for the relationship between serum or urinary Cu and MetS were included. Pooled effect sizes were presented as odds ratios (ORs) with 95% confidence intervals (CIs), calculated with the use of random-effects models. RESULTS: Twenty-three studies with 69,121 participants and 9,964 MetS cases were included. Higher serum Cu concentrations were significantly linked to elevated odds of MetS (OR = 1.17, 95% CI = 1.02-1.35), with considerable heterogeneity (I² = 79.6%, P < 0.001). Dose-response analysis revealed no significant linear association; however, a significant non-linear relationship was identified, with the odds of MetS increasing more markedly at serum Cu concentrations above approximately 1,100 µg/L (P = 0.047). Higher urinary Cu concentrations were also significantly associated with greater odds of MetS (OR = 1.41, 95% CI: 1.03-1.95; I² = 83.1%). The associations for both serum and urinary Cu were attenuated after adjustment for lifestyle-related factors and BMI. CONCLUSIONS: Elevated serum and urinary Cu concentrations were significantly linked to an elevated odds of MetS, with evidence of a non-linear dose-response association. Lifestyle factors may confound this association. CLINICAL TRIAL NUMBER: Not applicable.