Evidence map›Paper›PMID 42077469›Full record

ArticleInternational journal of genomics2026

Gut Microbiota and Primary Liver Cancer: Mendelian Randomization and Network Pharmacology Used to Predict Potential Therapeutic Intervention With Traditional Chinese Medicine.

Qingliang Chen, Lin Jin, Suping Ding, Lishan Ding, Liutong Zhang, Shujuan Zuo, Wenle Fu, Pengchao Zhan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of genomics, 2026. 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Qingliang ChenDepartment of Radioactive Intervention Department, Henan No.3 Provincial People's Hospital, Zhengzhou, Henan, China.ORCID https://orcid.org/0000-0001-5589-5604
Lin JinDepartment of Pharmacy, Lijiang People's Hospital, Lijiang, Yunnan, China.ORCID https://orcid.org/0009-0008-5109-4699
Suping DingSchool of Rehabilitation, Henan University of Chinese Medicine, Zhengzhou, Henan, China, hactcm.edu.cn.ORCID https://orcid.org/0009-0002-9974-6875
Lishan DingDepartment of Hematology and Oncology, The First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, Henan, China, hactcm.edu.cn.ORCID https://orcid.org/0009-0009-9215-9548
Liutong ZhangDepartment of Hematology and Oncology, The First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, Henan, China, hactcm.edu.cn.ORCID https://orcid.org/0009-0009-5383-9348
Shujuan ZuoDepartment of Hematology and Oncology, The First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, Henan, China, hactcm.edu.cn.ORCID https://orcid.org/0009-0008-2815-7858
Wenle FuDepartment of Hematology and Oncology, The First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, Henan, China, hactcm.edu.cn.ORCID https://orcid.org/0009-0007-5529-8018
Pengchao ZhanDepartment of Hematology and Oncology, The First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, Henan, China, hactcm.edu.cn.ORCID https://orcid.org/0000-0002-7438-3193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The objective of this study is to employ Mendelian randomization (MR) to screen for gut microbiota (GM) exhibiting causal genetic effects on primary liver cancer (PLC) development and to predict promising traditional Chinese medicine (TCM) candidates capable of intervening in PLC by modulating the GM. Methods: Summary statistics from genome-wide association studies (GWASs) examining the relationship between GM and PLC were retrieved from the IEU OpenGWAS database. MR analysis was conducted using the two-sample MR package in R, employing the inverse variance weighted (IVW) method as the primary approach for assessing genetic causal effects. Functional enrichment analysis was performed on genes proximal to the instrumental variables (IVs) to investigate the signaling pathways through which the implicated microbiota may contribute to PLC pathogenesis. The CTD and Coremine Medical databases were combined to predict TCM compounds potentially regulating the genes proximal to the IVs. Result: The MR analysis identified nine taxonomic groups of GM exhibiting genetically predicted causal effects on PLC development. Among these, the Family XI (OR = 0.680, 95% CI: 0.469-0.985, Conclusion: This study provides novel insights for developing GM-based TCM strategies for PLC prevention and treatment.

Indexed as

causal effectgut microbiotaMendelian randomizationnetwork pharmacologyprimary liver cancer

Identifiers

PMID42077469
PMCPMC13131057

What OpenQuestion holds

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Registered trials

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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.