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

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 th...

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Published inClinical gastroenterology and hepatology
Main Authors Schneider, Carolin V., Gross, Stefan, Balasubramani, Sriram, Tomanová, Petra, Schrader, Christina, Fromme, Malin, Mandorfer, Mattias, Guldiken, Nurdan, Schneider, Kai Markus, Lurje, Georg, Raptis, Anastasia, Huang, Helen Ye Rim, Mueller, Sebastian, Reiberger, Thomas, Nahon, Pierre, Anstee, Quentin M., Daly, Ann K., Govaere, Olivier, Strnad, Pavel
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 14.05.2025
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ISSN1542-3565
1542-7714
1542-7714
DOI10.1016/j.cgh.2025.02.030

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Abstract 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). 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. 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). 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. [Display omitted]
AbstractList 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). 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. 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). 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.
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). 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. 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). 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. [Display omitted]
Liver-related mortality represents a growing public health concern, disproportionately affecting younger subjects. Since 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 IGF-1.BACKGROUND & AIMSLiver-related mortality represents a growing public health concern, disproportionately affecting younger subjects. Since 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 IGF-1.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 GGT-IGF-1 score that was validated in an independent UKB cohort with 83,528 subjects and 237 LRDs.METHODSUKB 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 GGT-IGF-1 score that was validated in an independent UKB cohort with 83,528 subjects and 237 LRDs.Among 59 variables in 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 to GGT. In validation cohorts, IGF-1 levels (i) increased in subjects with alcohol misuse after alcohol detoxification; (ii) were reduced in individuals with alcohol-related/steatotic liver disease or severe alpha-1 antitrypsin deficiency and higher fibrosis stages; (iii) were diminished in participants with more advanced liver cirrhosis and lower levels associated with higher mortality. In the UK Biobank training and validation cohorts, the novel GGT-IGF-1 score achieved an AUROC=0.87 for LRD and was significantly better than established risk scores (AUROC 0.77-0.81).RESULTSAmong 59 variables in 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 to GGT. In validation cohorts, IGF-1 levels (i) increased in subjects with alcohol misuse after alcohol detoxification; (ii) were reduced in individuals with alcohol-related/steatotic liver disease or severe alpha-1 antitrypsin deficiency and higher fibrosis stages; (iii) were diminished in participants with more advanced liver cirrhosis and lower levels associated with higher mortality. In the UK Biobank training and validation cohorts, the novel GGT-IGF-1 score achieved an AUROC=0.87 for LRD and was significantly better than established risk scores (AUROC 0.77-0.81).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.CONCLUSIONSThe 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.
Background & AimsLiver-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). MethodsThe 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. ResultsAmong 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). ConclusionsThe 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.
Author Gross, Stefan
Guldiken, Nurdan
Schneider, Kai Markus
Lurje, Georg
Tomanová, Petra
Anstee, Quentin M.
Reiberger, Thomas
Schneider, Carolin V.
Govaere, Olivier
Mandorfer, Mattias
Mueller, Sebastian
Schrader, Christina
Raptis, Anastasia
Daly, Ann K.
Huang, Helen Ye Rim
Fromme, Malin
Balasubramani, Sriram
Nahon, Pierre
Strnad, Pavel
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  email: pstrnad@ukaachen.de
  organization: Medical Clinic III, Gastroenterology, Metabolic Diseases and Intensive Care, University Hospital RWTH Aachen, Health Care Provider of the European Reference Network on Rare Liver Disorders (ERN RARE LIVER), Aachen, Germany
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Keywords ICD-10
MRI
CPS
ALT
AUROC
STROBE
Liver-related Outcomes
scRNAseq
AATD
ANOVA
PLT
BMI
AST
Mortality
CI
Prediction
HVPG
IGF-1
IQR
MASLD
UKB
PheWAS
GGT
APRI
FIB-4
CIRRUS
Liver-related Death
ELISA
LRD
single-cell RNA sequencing
hepatic venous pressure gradient
Child-Pugh score
insulin-like growth factor-1
alpha-1 antitrypsin deficiency
gamma-glutamyl transferase
Phenome-Wide Association Study
body mass index
Fibrosis-4
platelets
CIRRhosis Using Standard tests score
magnetic resonance imaging
interquartile range
analysis of variance
alanine transaminase
AST-to-platelet ratio index
area under the receiver operated characteristic
International Classification of Diseases, 10th Revision
metabolic dysfunction-associated steatotic liver disease
enzyme-linked immunosorbent assay
confidence interval
aspartate transaminase
Strengthening the Reporting of Observational studies in Epidemiology
UK Biobank
Language English
License This is an open access article under the CC BY-NC license.
Copyright © 2025 The Author(s). Published by Elsevier Inc. All rights reserved.
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  year: 2022
  ident: 10.1016/j.cgh.2025.02.030_bib8
  article-title: Structured early detection of asymptomatic liver cirrhosis: results of the population-based liver screening program SEAL
  publication-title: J Hepatol
  doi: 10.1016/j.jhep.2022.04.009
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Snippet Liver-related mortality represents a growing public health concern, disproportionately affecting younger subjects. Because there are no established tools for...
Background & AimsLiver-related mortality represents a growing public health concern, disproportionately affecting younger subjects. Because there are no...
Liver-related mortality represents a growing public health concern, disproportionately affecting younger subjects. Since there are no established tools for...
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SubjectTerms Gastroenterology and Hepatology
IGF-1
Liver-related Death
Liver-related Outcomes
Mortality
Prediction
Title Insulin-like Growth Factor-1 Reflects Liver Disease Stage and Improves Prediction of Liver-related Mortality
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https://dx.doi.org/10.1016/j.cgh.2025.02.030
https://www.ncbi.nlm.nih.gov/pubmed/40378984
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