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 in | Clinical gastroenterology and hepatology |
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Main Authors | , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Elsevier Inc
14.05.2025
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Online Access | Get full text |
ISSN | 1542-3565 1542-7714 1542-7714 |
DOI | 10.1016/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.
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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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Business, Prague, Czech Republic – sequence: 5 givenname: Christina surname: Schrader fullname: Schrader, Christina 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 – sequence: 6 givenname: Malin surname: Fromme fullname: Fromme, Malin 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 – sequence: 7 givenname: Mattias surname: Mandorfer fullname: Mandorfer, Mattias organization: Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria – sequence: 8 givenname: Nurdan surname: Guldiken fullname: Guldiken, Nurdan organization: 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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 – sequence: 12 givenname: Helen Ye Rim surname: Huang fullname: Huang, Helen Ye Rim 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 – sequence: 13 givenname: Sebastian surname: Mueller fullname: Mueller, Sebastian organization: Center for Alcohol Research, University Hospital Heidelberg, Heidelberg, Germany – sequence: 14 givenname: Thomas surname: Reiberger fullname: Reiberger, Thomas organization: Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria – sequence: 15 givenname: Pierre surname: Nahon fullname: Nahon, Pierre organization: AP-HP, Hôpitaux Universitaires Paris Seine Saint-Denis, Liver Unit, Bobigny, France – sequence: 16 givenname: Quentin M. surname: Anstee fullname: Anstee, Quentin M. organization: Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom – sequence: 17 givenname: Ann K. surname: Daly fullname: Daly, Ann K. organization: Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom – sequence: 18 givenname: Olivier surname: Govaere fullname: Govaere, Olivier organization: Department of Imaging and Pathology, Translational Cell and Tissue Research, KU Leuven and University Hospitals Leuven, Leuven, Belgium – sequence: 19 givenname: Pavel orcidid: 0000-0002-7122-6379 surname: Strnad fullname: Strnad, Pavel 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 |
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