PNPLA3 as a driver of steatotic liver disease: navigating from pathobiology to the clinics via epidemiology

Steatotic liver disease (SLD), particularly metabolic dysfunction-associated SLD, represents a significant public health concern worldwide. Among the various factors implicated in the development and progression of this condition, the patatin-like phospholipase domain-containing protein 3 (PNPLA3 ) gene has emerged as a critical player. Variants of PNPLA3 are associated with altered lipid metabolism, leading to increased hepatic fat accumulation and subsequent inflammation and fibrosis. Understanding the role of PNPLA3 not only enhances our comprehension of the pathomechanisms driving SLD but also informs potential therapeutic strategies. The molecular mechanisms through which PNPLA3 variants contribute to lipid dysregulation and hepatocyte injury in SLD are critically discussed in the present review article. We extensively analyze clinical cohorts and population-based studies underpinning the association between PNPLA3 polymorphisms and the risk of developing SLD, and its liver-related and protean extrahepatic outcomes, in concert with other risk modifiers, notably including age, sex, and ethnicity in adults and children. We also discuss the increasingly recognized role played by the PNPLA3 gene in liver transplantation, autoimmune hepatitis, and acquired immunodeficiency syndrome. Finally, we examine the clinical implications of PNPLA3 diagnostics regarding risk stratification and targeted therapies for patients affected by SLD in the context of precision medicine approaches.

Authors

Institutions

Publication Details

Journal
Journal of Translational Genetics and Genomics
Published
2024-12-07
DOI
https://doi.org/10.20517/jtgg.2024.70
Citations
13
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
5.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PNPLA3 as a driver of steatotic liver disease: navigating from pathobiology to the clinics via epidemiology

Ralf Weiskirchen, Amedeo Lonardo
13 citations
Journal of Translational Genetics and Genomics
Liver Disease Diagnosis and Treatment
5.03
article

PNPLA3 as a driver of steatotic liver disease: navigating from pathobiology to the clinics via epidemiology

Ralf Weiskirchen, Amedeo Lonardo
article en
13 citations

Abstract

Steatotic liver disease (SLD), particularly metabolic dysfunction-associated SLD, represents a significant public health concern worldwide. Among the various factors implicated in the development and progression of this condition, the patatin-like phospholipase domain-containing protein 3 (PNPLA3 ) gene has emerged as a critical player. Variants of PNPLA3 are associated with altered lipid metabolism, leading to increased hepatic fat accumulation and subsequent inflammation and fibrosis. Understanding the role of PNPLA3 not only enhances our comprehension of the pathomechanisms driving SLD but also informs potential therapeutic strategies. The molecular mechanisms through which PNPLA3 variants contribute to lipid dysregulation and hepatocyte injury in SLD are critically discussed in the present review article. We extensively analyze clinical cohorts and population-based studies underpinning the association between PNPLA3 polymorphisms and the risk of developing SLD, and its liver-related and protean extrahepatic outcomes, in concert with other risk modifiers, notably including age, sex, and ethnicity in adults and children. We also discuss the increasingly recognized role played by the PNPLA3 gene in liver transplantation, autoimmune hepatitis, and acquired immunodeficiency syndrome. Finally, we examine the clinical implications of PNPLA3 diagnostics regarding risk stratification and targeted therapies for patients affected by SLD in the context of precision medicine approaches.

Journal of Translational Genetics and GenomicsVol. 8(4)
RWTH Aachen University (DE)
Good health and well-being
Openalex Percentile: Top 4%
Liver Disease Diagnosis and Treatment
5.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.