Revealing the causal relationship between HBV and HCV infection and liver cirrhosis by Mendelian randomization

Ju-Cun Huang1, Yu-Wei Feng1, Kang Zhao1

  • 1Liver Disease Department of Integrated Traditional Chinese and Western Medicine, Hubei No.3 People's Hospital of Jianghan University, Wuhan, China.

Insights

Mendelian randomization analysis reveals that hepatitis B virus (HBV) and hepatitis C virus (HCV) infections causally link to cirrhosis. Monitoring aspartate aminotransferase (AST) levels may indicate liver damage from chronic HBV.

Area of Science:

  • Genetics and Hepatology
  • Viral Hepatitis Research
  • Biomarker Analysis

Background:

  • Chronic viral hepatitis (HBV, HCV) and cirrhosis pose significant patient burdens.
  • Liver biomarkers aid in assessing liver damage.
  • Understanding causal links is crucial for disease management.

Purpose of the Study:

  • To investigate causal relationships between HBV, HCV, liver biomarkers, and cirrhosis using Mendelian randomization (MR).
  • To analyze the impact of viral hepatitis on liver biomarkers and cirrhosis development.

Main Methods:

  • A bidirectional, multi-sample MR approach utilized GWAS data.
  • Data from 351,885 HBV and 176,698 HCV samples were analyzed.
  • R language and TwoSampleMR package employed inverse-variance weighting, weighted median, and MR-Egger methods.

Main Results:

  • Cirrhosis showed a potential causal link with HBV infection (OR=1.253, p=0.019).
  • HBV infection was associated with decreased AST levels (OR=0.972, p<0.01).
  • HCV infection demonstrated a strong causal link with cirrhosis (OR=2.213, p<0.01).
  • No significant pleiotropy or heterogeneity was detected.

Conclusions:

  • A causal relationship exists between HBV and AST levels, useful for monitoring liver damage.
  • HBV and HCV infections are causally linked to cirrhosis, the terminal stage of these infections.
  • Managing viral hepatitis progression can reduce the risk of developing cirrhosis.
Abstract

Related Concept Videos

Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
822
Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
635
Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
243