Evidence map›Paper›PMID 40415161›Full record

ArticleAging clinical and experimental research2025

The association between chronic liver disease and osteoporosis in East Asian populations: a bidirectional Mendelian randomization study.

Zhiyu Wang, Qi Qu, Rui Jiang, Zhongshan Li, Simiao Ran

Abstract read
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Article in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zhiyu Wang *Medical College, Hubei Minzu University, 39 Xueyuan Road, Enshi, 445000, China.
Qi Qu *Medical College, Hubei Minzu University, 39 Xueyuan Road, Enshi, 445000, China.
Rui Jiang *Huanggang Hospital of Traditional Chinese Medicine Affiliated with Hubei University of Chinese Medicine, 19 Dongmen Road, Huanggang, 438000, China.
Zhongshan LiHuanggang Hospital of Traditional Chinese Medicine Affiliated with Hubei University of Chinese Medicine, 19 Dongmen Road, Huanggang, 438000, China. 2042349180@qq.com.
Simiao RanMedical College, Hubei Minzu University, 39 Xueyuan Road, Enshi, 445000, China. 1071006515@qq.com.

Funding

Natural Science Foundation of Hubei Province 2024AFB976
6 · The paper itself

Abstract

backgroundChronic liver disease is a widespread health problem globally, particularly common in East Asia. Osteoporosis (OP), as a common metabolic bone disease, has also gained increasing attention in aging societies. In recent years, studies have suggested a possible association between chronic liver disease and OP, but their causal relationship has not been fully or systematically studied.

objectiveTo investigate the causal association between chronic liver disease and OP in East Asian populations using Mendelian randomization (MR) methods.

methodsThe datasets for chronic hepatitis B infection (CHB), chronic hepatitis C infection (CHC), and cirrhosis were sourced from the UK Biobank, while those for hepatocellular carcinoma (HCC) and OP were from the Japan Biobank. All participants included were from East Asian populations. We first treated chronic liver disease as the exposure and OP as the outcome for MR analysis, and then performed a reverse analysis treating OP as the exposure and chronic liver disease as the outcome. The inverse variance-weighted (IVW) method was used as the primary method to calculate odds ratios (ORs) and 95% confidence intervals (95% CIs). MR-Egger and the weighted median method were used as supplementary approaches to assess the causal association between chronic liver disease and OP. Heterogeneity and pleiotropy tests were also performed to ensure the reliability of the results.

resultsThe IVW method results indicated that CHB (ebi-a-GCST90018584) will increase the incidence of OP (bbj-a-137) (OR = 1.063, 95% CI: 1.015-1.112, p = 0.009), with no evidence of heterogeneity or pleiotropy. However, no causal association was found between CHC, cirrhosis, or HCC on OP. Reverse MR analyses did not reveal any significant causal effect of OP on chronic liver disease.

conclusionIn East Asian populations, CHB will increase the incidence of OP. Therefore, CHB patients not only require long-term antiviral treatment to protect the liver but should also monitor their bone health over time to reduce the risk of OP, ultimately improving quality of life.

Indexed as

Hepatitis B, ChronicHepatitis C, ChronicLiver DiseasesOsteoporosisAgedAsia, EasternCarcinoma, HepatocellularChronic DiseaseEast Asian PeopleFemaleHumansJapanLiver NeoplasmsMaleMendelian Randomization AnalysisMiddle AgedCausal associationChronic hepatitis B infectionChronic hepatitis C infectionChronic liver diseaseCirrhosisGenome-wide association studyHepatocellular carcinomaMendelian randomizationOsteoporosis

Identifiers

PMID40415161
PMCPMC12104098

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.