Evidence map›Paper›PMID 40211413›Full record

ArticleEuropean journal of medical research2025

Causal relationship analysis of MRI measurements of major human internal organs and liver disease.

Huanyu Wu, Danjing Zhou, Jinggang Zhu, Jianchun Tu

Abstract read
In one paragraph

Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Huanyu WuDepartment of Radiology, Kunshan Hospital of Chinese Medicine, Suzhou, 215300, China.
Danjing ZhouDepartment of Radiology, Kunshan Hospital of Chinese Medicine, Suzhou, 215300, China.
Jinggang ZhuDepartment of Radiology, Kunshan Hospital of Chinese Medicine, Suzhou, 215300, China.
Jianchun TuDepartment of Radiology, Kunshan Hospital of Chinese Medicine, Suzhou, 215300, China. kstcmtujc@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to explore the causal association between imaging measurement indicators of major internal organs and liver lesions using a two-sample Mendelian randomization (MR) method.

methodsData from the UK Biobank and GWAS Catalog platform were used to select single nucleotide polymorphisms (SNPs) associated with MRI or derived measurement results of various organ indicators as genetic instrumental variables. Data from the FinnGen project's R9 version were used to select liver lesion outcomes, such as nonalcoholic fatty liver disease (NAFLD), nonalcoholic cirrhosis, and primary hepatocellular carcinoma (HCC). UVMR analysis were utilized variable-by-variable, and MVMR was used to adjust for confounding on significant variables. Steiger directional test, heterogeneity, pleiotropy, and sensitivity tests were conducted to enhance reliability.

resultsUnivariate Mendelian randomization analysis (UVMR) indicated that liver volume (LV), liver fat (LF), and subcutaneous adipose tissue measurement (SATM) are risk factors for NAFLD. The multivariable MR (MVMR) results for NAFLD showed that LV and LF remained significant, while SATM did not. For cirrhosis (NAC), UVMR suggested that LV, LF, and SATM are risk factors, but MVMR results showed that only LV and LF remained significant. Additionally, pancreatic volume (PV) was found to be a protective factor, while splenic volume (SV) was a pathogenic factor for NAC. For HCC, both UVMR and MVMR analyses suggested that LF and liver iron (LI) are risk factors, while SATM did not remain significant in the MVMR analysis.

conclusionsLV, LF, and SATM are associated with NAFLD. In the NAC stage, additional pathogenic effects of PV and SV were observed. The related results for LF and LI support the pathogenic effect of liver iron factors in the HCC stage.

Indexed as

Carcinoma, HepatocellularLiver DiseasesLiver NeoplasmsMagnetic Resonance ImagingNon-alcoholic Fatty Liver DiseaseGenome-Wide Association StudyHumansLiverMaleMendelian Randomization AnalysisPolymorphism, Single NucleotideCirrhosisGenome-wide association analysisLiver cancerMendelian randomizationMRI measurementsNonalcoholic fatty liver diseaseOrgans

Identifiers

PMID40211413
PMCPMC11987232

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