Sex-stratified metabolic signatures of adiposity indices and their associations with clinical biomarkers in the UK Biobank.

IF 10.8 1区医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL

EBioMedicine Pub Date : 2025-09-01 Epub Date: 2025-08-05 DOI:10.1016/j.ebiom.2025.105868

Christos K Papagiannopoulos, Georgios Markozannes, Christos V Chalitsios, Sofia Christakoudi, Marc J Gunter, Laure Dossus, Richard M Martin, Ioanna Tzoulaki, Christopher Papandreou, Konstantinos K Tsilidis

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引用次数: 0

Abstract

Background: Excessive adiposity increases disease risk, however, the metabolic processes underlying these associations remain incompletely understood.

Methods: We compared metabolic signatures (MSs) of adiposity indices (non-allometric: body fat %, waist circumference, hip circumference, waist-to-hip ratio, body mass index; allometric: a body shape index [ABSI], hip index [HI], waist-to-HI ratio) by sex and examined their cross-sectional associations with 29 clinical biomarkers in 151,526 UK Biobank participants. MSs performance was validated in an independent cohort.

Findings: In females, MSs mainly consisted of lipoprotein particle concentrations, apolipoproteins, fatty acids and inflammation-linked glycoprotein acetyls, whereas in males lipoproteins rich in cholesteryl esters and aromatic/branched-chain amino acids predominated. The highest percentages of common metabolites were observed between non-allometric adiposity indices (median: 42.4%; range: 9%-56%). MSs were independently associated with over 25 biomarkers with differences observed by sex and adiposity index, and these associations were stronger compared to the respective phenotypic associations.

Interpretation: MS_ABSI was found to be more atherogenic, whereas MS_HI was more favourable for health. This study highlights i) that different regions of adipose tissue undergo distinct metabolic processes overall and by sex, each having unique impact on health, and ii) the importance of considering metabolic factors beyond simple adiposity indices in assessing health risk.

Funding: This work was supported by Cancer Research UK (grant number C18281/A29019).

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英国生物银行中肥胖指数的性别分层代谢特征及其与临床生物标志物的关联。

背景：过度肥胖增加疾病风险，然而，这些关联背后的代谢过程仍不完全清楚。方法：比较各肥胖指标(非异速代谢：体脂率、腰围、臀围、腰臀比、体重指数；异速测量：在151526名英国生物银行参与者中，按性别划分体型指数（ABSI）、臀部指数（HI）、腰臀比（腰臀比），并检查了它们与29种临床生物标志物的横断面关联。MSs的表现在一个独立的队列中得到验证。研究发现：在女性中，MSs主要由脂蛋白颗粒浓度、载脂蛋白、脂肪酸和炎症相关的糖蛋白乙酰基组成，而在男性中，MSs以富含胆固醇酯和芳香/支链氨基酸的脂蛋白为主。在非异速肥胖指数中，常见代谢物的百分比最高(中位数：42.4%；范围:9% - -56%)。MSs与超过25种生物标志物独立相关，性别和肥胖指数存在差异，这些关联比各自的表型关联更强。解释：MSABSI更易致动脉粥样硬化，而MSHI更有利于健康。这项研究强调了i)脂肪组织的不同区域在总体上和性别上经历不同的代谢过程，每种代谢过程对健康都有独特的影响，以及ii)在评估健康风险时考虑代谢因素的重要性，而不仅仅是简单的肥胖指数。本研究由英国癌症研究中心（资助号：C18281/A29019）资助。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

EBioMedicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology

CiteScore

17.70

自引率

0.90%

发文量

579

审稿时长

5 weeks

期刊介绍： eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.