Toggle Main Menu Toggle Search

Open Access padlockePrints

Insulin-like Growth Factor-1 Reflects Liver Disease Stage and Improves Prediction of Liver-related Mortality

Lookup NU author(s): Professor Quentin AnsteeORCiD, Emerita Professor Ann Daly, Dr Olivier Govaere

Downloads


Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


Abstract

© 2025 The Author(s). Background & Aims: Liver-related mortality represents a growing public health concern, disproportionately affecting younger subjects. Because there are no established tools for early detection of individuals at risk for liver-related death (LRD), we analyzed LRD predictors in the UK Biobank (UKB) data and validated the usefulness of serum insulin-like growth factor-1 (IGF-1). Methods: The UKB dataset encompassing 325,981 participants, a median follow-up of 13.5 years, and 846 LRDs was used as a training cohort. IGF-1 was validated in several independent cohorts of different liver disease etiologies and fibrosis stages. A Cox proportional hazard model was used to develop the gamma-glutamyl transferase (GGT)-IGF-1 score that was validated in an independent UKB cohort with 83,528 subjects and 237 LRDs. Results: Among 59 variables in the UKB training cohort, GGT and IGF-1 were identified as the LRD predictors with time-dependent area under the curve (AUROC) >80%. Phenome-wide association study demonstrated the higher liver specificity of IGF-1 compared with GGT. In validation cohorts, IGF-1 levels: (1) increased in subjects with alcohol misuse after alcohol detoxification; (2) were reduced in individuals with alcohol-related/steatotic liver disease or severe alpha-1 antitrypsin deficiency and higher fibrosis stages; and (3) were diminished in participants with more advanced liver cirrhosis and lower levels associated with higher mortality. In the UKB training and validation cohorts, the novel GGT-IGF-1 score achieved an AUROC of 0.87 for LRD and was significantly better than established risk scores (AUROC = 0.77–0.81). Conclusions: The study highlights the usefulness of IGF-1 as a reliable predictor of LRD and identifies a novel, population-based screening tool outperforming the currently used scores.


Publication metadata

Author(s): Schneider CV, Gross S, Balasubramani S, Tomanova P, Schrader C, Fromme M, Mandorfer M, Guldiken N, Schneider KM, Lurje G, Raptis A, Huang HYR, Mueller S, Reiberger T, Nahon P, Anstee QM, Daly AK, Govaere O, Strnad P

Publication type: Article

Publication status: Published

Journal: Clinical Gastroenterology and Hepatology

Year: 2025

Pages: Epub ahead of print

Online publication date: 14/05/2025

Acceptance date: 02/04/2018

Date deposited: 26/06/2025

ISSN (print): 1542-3565

ISSN (electronic): 1542-7714

Publisher: W.B. Saunders

URL: https://doi.org/10.1016/j.cgh.2025.02.030

DOI: 10.1016/j.cgh.2025.02.030

PubMed id: 40378984


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
Horizon Europe (grant agreement 101136259)
Innovative Health Initiative Joint Undertaking (grant agreement 101132901)
Newcastle NIHR Biomedical Research Center

Share