ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Translational and Clinical Endocrinology

Volume 16 - 2025 | doi: 10.3389/fendo.2025.1555300

Unraveling the Triglyceride-Glucose Index: A Key Predictor of Liver Fat Content and the Amplifying Role of BMI: Evidence from a large physical examination data

Provisionally accepted
Su-Juan  LiuSu-Juan LiuJin-Hui  DuanJin-Hui DuanYang-Yang  ChenYang-Yang ChenShi-Li  GuShi-Li GuYu -Hua  HeYu -Hua HeMing-Mei  XueMing-Mei XueJunyan  YueJunyan Yue*
  • Department of Radiology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan Province, China

The final, formatted version of the article will be published soon.

The triglyceride-glucose (TyG) index is associated with the severity of metabolic-associated fatty liver disease (MASLD), but its link to liver fat content is not fully understood. This study investigates the relationship between the TyG index and liver fat content and explores the role of body mass index (BMI) as a mediator.This cross-sectional study analyzed data from 12,750 participants who underwent health screenings at the first affiliated hospital of Xinxiang Medical University between January 2018 and December 2023. The TyG index, derived as Ln [triglycerides (mg/dl) * fasting plasma glucose (mg/dl)/2], was the independent variable, while liver fat content, measured by quantitative computed tomography (QCT), was the dependent variable. Participants were grouped into tertiles based on their TyG index.Univariate and multivariate analyses, smooth curve fitting (generalized additive models), threshold effect analysis, and subgroup analyses were used to assess the TyGliver fat content relationship. BMI's mediating effect was also examined.Liver fat content increased steadily across TyG index tertiles. After adjusting for confounders, the TyG index remained independently associated with liver fat content [β = 1.42, 95% CI: 1.26-1.57]. Participants in the highest TyG tertile (T3) had a 1.58-fold higher liver fat content compared to those in the lowest tertile (T1) (95%CI: 1.37-1.80, P<0.001). A generalized additive model showed a nonlinear relationship between TyG index and liver fat content. When the TyG index ≤ 7.39, liver fat content increased gradually (β = 0.74, 95% CI: 0.50-0.99, P<0.001). Beyond this threshold, liver fat content rose sharply (β = 2.19, 95% CI: 1.92-2.46, P<0.001). Subgroup analysis indicated that the association between TyG index and liver fat content was stronger at higher BMI levels (P for interaction < 0.001). Mediation analysis revealed that BMI accounted for 26.68% of the observed effect.The TyG index is positively associated with liver fat content in a nonlinear manner, with BMI amplifying this effect. These results suggest that the TyG index may be a useful marker for predicting liver fat content, and managing weight could help slow the progression of MASLD.

Keywords: Triglyceride-glucose index, Liver fat content, Body Mass Index, Nonlinear relationship, Chinese

Received: 04 Jan 2025; Accepted: 07 Apr 2025.

Copyright: © 2025 Liu, Duan, Chen, Gu, He, Xue and Yue. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Junyan Yue, Department of Radiology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453100, Henan Province, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Research integrity at Frontiers

94% of researchers rate our articles as excellent or good

Learn more about the work of our research integrity team to safeguard the quality of each article we publish.


Find out more