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Exp Clin Endocrinol Diabetes 2025; 133(05): 259-267
DOI: 10.1055/a-2549-6889
Article

Association of FGF21 with Metabolic and Cardiovascular Diseases: A Mendelian Randomization Analysis

Qingwen He‡
1   Affiliated Womenʼs Hospital of Jiangnan University, Wuxi, China (Ringgold ID: RIN680653)
,
Yuguang Li‡
1   Affiliated Womenʼs Hospital of Jiangnan University, Wuxi, China (Ringgold ID: RIN680653)
,
Renqiang Yu
1   Affiliated Womenʼs Hospital of Jiangnan University, Wuxi, China (Ringgold ID: RIN680653)
,
Mengyuan Lin
1   Affiliated Womenʼs Hospital of Jiangnan University, Wuxi, China (Ringgold ID: RIN680653)
› Author AffiliationsSupported by: Science Foundation of Health Commission of Wuxi.
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Abstract

Introduction

Studies have covered a possible relevance between fibroblast growth factor 21 (FGF21) and obesity-related metabolic complications and cardiovascular disease (CVD). Nevertheless, whether FGF21 is a causative factor in these diseases is not known. Using a bidirectional, two-sample Mendelian randomization (MR) approach, this study sought to establish a causal relationship between FGF21 and seven metabolic diseases and six CVDs.

Methods

A large-scale meta-analysis dataset of genome-wide association studies (GWAS) was analyzed to generate summary-level statistics for FGF21. The diseases we studied included non-alcoholic fatty liver disease (NAFLD), obesity, type 2 diabetes (T2DM), hypertension, gestational diabetes (GDM), gestational hypertension (GHTN), pre-eclampsia or eclampsia (PE), atherosclerosis, cardiomyopathy (CMP), coronary heart disease (CHD), coronary atherosclerosis, heart failure (HF), myocardial infarction (MI) and the corresponding summary GAWS data were retrieved from the FinnGen Biobank and IEU Open GWAS Project database. The inverse variance-weighted (IVW) algorithm was the primary approach utilized for the MR analysis. The MR-Egger regression and MR-PRESSO tests were implemented to evaluate horizontal pleiotropy. The heterogeneity of instrumental variables was subsequently assessed utilizing Cochranʼs Q statistics.

Results

When diseases are used as exposures, MR analysis results of the IVW method indicated that NAFLD (Beta=− 0.047, 95% CI=− 0.08 to − 0.014; p=0.006), obesity (Beta=0.087, 95% CI=0.021–0.153; p=0.009), T2DM (Beta=0.071, 95% CI=0.037–0.106; p<0.001) correlated causally with FGF21. Nevertheless, FGF21 was not causally related to the remaining metabolic diseases and CVDs, according to the results of the MR analysis (p>0.05). It was demonstrated that the aforementioned results were robust and devoid of pleiotropy.

Conclusions

Our study supports a causal association between NAFLD, obesity, and T2DM with FGF21. No substantial evidence exists to establish a causal relationship between FGF21 and other diseases. This study provides opportunities for the early prevention and innovative therapy of NAFLD, obesity, and T2DM.

Keywords

Autoimmunity - Diabetes - Cardiovascular incidences - Cardiovascular risk management - Obesity

Supplementary Material



Publication History

Received: 04 November 2024

Accepted after revision: 25 February 2025

Article published online:
17 April 2025

© 2025. Thieme. All rights reserved.

Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany

 

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