Evidence map›Paper›PMID 41305817›Full record

ArticleMedicine2025

Coriobacteriia may affect the occurrence of hepatocellular carcinoma through the pyrimidine, caffeine, urea cycle and glutamate metabolic pathways.

Jingyi Dai, Qiujing Li, Jie Chen, Guiming Liu, Zhijian Dong, Zhongxu Ma, Yu Luo

Abstract read
In one paragraph

Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jingyi DaiDepartment of Liver Diseases, The Third People's Hospital of Kunming City/Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, China.
Qiujing LiDepartment of Public Laboratory, The Third People's Hospital of Kunming City/ Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, China.
Jie ChenDepartment of Pharmacy, The Third People's Hospital of Kunming City/Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, China.
Guiming LiuDepartment of Public Laboratory, The Third People's Hospital of Kunming City/Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, China.ORCID 0009-0008-7433-7075
Zhijian DongDepartment of Ultrasonics, The Third People's Hospital of Kunming City/Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, China.
Zhongxu MaDepartment of Internal Medicine, The Third People's Hospital of Kunming City/Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, China.
Yu LuoDepartment of Public Laboratory, The Third People's Hospital of Kunming City/ Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, China.ORCID 0009-0004-6577-9913

Funding

Education Department of Yunnan Province No. 2023J0918Health Commission of Kunming city No. 2022-03-03-002Science and Technology Department of Yunnan Province No. 202101BA070001-113
6 · The paper itself

Abstract

Most patients with hepatocellular carcinoma (HCC) lose the chance of survival due to lack of timely diagnosis and effective treatment. The specific gut microbiota (GM) spectrum may become the target of early diagnosis and treatment of HCC. However, the metabolic mechanisms that affect the occurrence of liver cancer are still unclear. In this study, we called the dataset of HCC, and 1091 serum metabolites 309 metabolite ratios as well as 211 GM taxa through genome-wide association studies instrumental variables for Mendelian randomization causal association analysis and metabolome intermediary effects exploration. Through functional enrichment of intermediate metabolites, the effects of metabolic pathways involved in GM on HCC were analyzed. Inverse variance weighting was the main model for establishing causal associations. Additionally horizontal pleiotropy test, linkage-disequilibrium test and the sensitivity analysis were employed to test the explanatory power of instrumental variables (single nucleotide polymorphisms). Our study found Coriobacteriia class, Coriobacteriales order, Coriobacteriaceae family, and 4 specific genera were strongly related to HCC (P <.05). Meanwhile, through 2 samples-MR Analysis, 49 metabolites levels/ratios were shown to be closely related to the development of HCC. A total of 10 related metabolic intermediary factors have been selected, and 4 metabolic pathways of pyrimidine (P = .0031), caffeine (P = .0072), urea cycle (P = .0105) and glutamate (P = .0298) were significantly enriched in this GM related HCC process. Coriobacteriia class and its lower taxa were associated with the risk factors of developing HCC through the regulation of pyrimidine, caffeine, urea cycle and glutamate metabolic pathways. These GM taxa and metabolitesmay serve as potential targets for the diagnosis of HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsPyrimidinesCaffeineFemaleGastrointestinal MicrobiomeGenome-Wide Association StudyGlutamic AcidHumansMaleMendelian Randomization AnalysisMetabolic Networks and PathwaysMiddle AgedPolymorphism, Single NucleotideCaffeineGlutamic AcidpyrimidinePyrimidinescorrelationsgut microbiotahepatocellular carcinomaintermediary factorMendelian randomizationmetabolite

Identifiers

PMID41305817
PMCPMC12643712

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.