跳至主要内容
临床试验/NCT07261800
NCT07261800已完成不适用

Sex-specific Differences in the Association Between Leg Fat and Diabetes Risk: The Mediating Role of Visceral Adipose Tissue

Qianfoshan Hospital1 个研究点 分布在 1 个国家目标入组 542 人开始时间: 2024年12月31日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
542
试验地点
1
主要终点
Prevalence of diabetes in relation to lower extremity fat

研究概览

简要总结

This study investigates the association between LFP, VAT and T2DM using DXA in 542 adults. We apply penalized regression, generalized additive models (GAM), and causal mediation analysis to explore whether higher LFP reduces diabetes risk and whether this effect is mediated by VAT. Sex-specific analyses further clarify the biological differences in adipose distribution. The findings aim to improve understanding of fat distribution and metabolic health.

详细描述

T2DM is a major public health concern, and growing evidence suggests that not all body fat confers equal metabolic risk. Beyond total adiposity, the regional distribution of fat strongly influences insulin resistance and diabetes development. VAT is metabolically detrimental, promoting inflammation and lipotoxicity, whereas lower-body subcutaneous fat, particularly in the legs and gluteofemoral region, may exert protective metabolic effects by serving as a "safe storage" depot for excess lipids. However, the causal mechanisms underlying these associations remain incompletely understood, and whether the protective role of LFP differs by sex remains unclear.

This study aims to elucidate the metabolic and causal pathways linking LFP, VAT, and diabetes risk in adults. Using DXA for precise body composition assessment, the study evaluates the associations between LFP, VAT, and T2DM prevalence, with a focus on sex-specific effects. A total of 542 adult participants will be analyzed, including both men and women with and without T2DM. Clinical, biochemical, and anthropometric data will be collected concurrently.

The analytic framework integrates multiple complementary approaches:

  1. Penalized regression models (LASSO, ridge, elastic net) will identify the most predictive adiposity components for T2DM while minimizing collinearity.
  2. GAMs will examine potential nonlinear relationships between LFP, VAT, and diabetes risk, separately for male and female.
  3. Causal mediation analysis will quantify the extent to which VAT mediates the relationship between LFP and diabetes, providing mechanistic insight into adipose redistribution pathways.
  4. Inverse-probability-of-treatment weighting (IPTW) will strengthen causal inference by balancing covariates across LFP strata.
  5. Two-sample Mendelian randomization (MR) will further test the causal effect of genetically predicted LFP on T2DM risk using summary-level genome-wide association data.

We hypothesize that higher LFP will be associated with lower diabetes risk and that this protective effect will be partially mediated by reduced VAT accumulation, particularly in females.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Retrospective

入排标准

年龄范围
18 Years 至 80 Years(Adult, Older Adult)
性别
All
接受健康志愿者
否

入选标准

  • •Adults (≥18 years old)
  • •Available DXA measurement of fat distribution
  • •Complete fasting glucose or diabetes diagnosis record

排除标准

  • •Missing key variables (fat distribution, diabetes status)
  • •Severe systemic disease interfering with data integrity
  • •Implausible or inconsistent records

结局指标

主要结局

Prevalence of diabetes in relation to lower extremity fat

时间窗: Baseline

T2DM will be defined according to standard diagnostic criteria (fasting plasma glucose ≥ 7.0 mmol/L and/or HbA1c ≥ 6.5%, or a physician diagnosis). The primary outcome is the association between LFP and diabetes status, estimated using multivariable logistic regression and causal mediation analysis.

次要结局

  • Mediating Effect of VAT(baseline)
  • Sex-specific Differences in the LFP-T2D Association(Baseline)

研究者

发起方
Qianfoshan Hospital
申办方类型
Other
责任方
Principal Investigator
主要研究者

Xuan Song

Associated physician

Qianfoshan Hospital

研究点 (1)

Loading locations...

相似试验