Evidence map›Paper›PMID 39182089›Full record

ArticleLipids in health and disease2024

Screening and molecular docking verification of feature genes related to phospholipid metabolism in hepatocarcinoma caused by hepatitis B.

Jian Zhang, Fengmei Zhang, Lei Zhang, Meiling Zhang, Shuye Liu, Ying Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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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

6 authors.

Jian Zhang *Department of Clinical Laboratory, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Fengmei Zhang *Department of Clinical Laboratory, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, The Third Central Hospital of Tianjin, Tianjin Institute of Hepatobiliary Disease, Tianjin, 300170, China.
Lei Zhang *Department of Clinical Laboratory, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, The Third Central Hospital of Tianjin, Tianjin Institute of Hepatobiliary Disease, Tianjin, 300170, China. rikkichang12345@163.com.
Meiling ZhangTianjin Key Laboratory on Technologies Enabling Development of Clinical Therapeutics and Diagnostics (Theranostics), School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China.
Shuye LiuDepartment of Clinical Laboratory, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, The Third Central Hospital of Tianjin, Tianjin Institute of Hepatobiliary Disease, Tianjin, 300170, China. lshye@163.com.
Ying MaTianjin Key Laboratory on Technologies Enabling Development of Clinical Therapeutics and Diagnostics (Theranostics), School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China. maying@tmu.edu.cn.

Funding

Tianjin Health Science and Technology Project TJWJ2023XK020Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK-047A
6 · The paper itself

Abstract

backgroundThe progression of tumours is related to abnormal phospholipid metabolism. This study is anticipated to present a fresh perspective for disease therapy targets of hepatocarcinoma caused by hepatitis B virus in the future by screening feature genes related to phospholipid metabolism.

methodsThis study analysed GSE121248 to pinpoint differentially expressed genes (DEGs). By examining the overlap between the metabolism-related genes and DEGs, the research focused on the genes involved in phospholipid metabolism. To find feature genes, functional enrichment studies were carried out and a network diagram was proposed. These findings were validated via data base of The Cancer Genome Atlas (TCGA). Further analyses included immune infiltration studies and metabolomics. Finally, the relationships between differentially abundant metabolites and feature genes were confirmed by molecular docking, providing a thorough comprehension of the molecular mechanisms.

resultsThe seven genes with the highest degree of connection (PTGS2, IGF1, SPP1, BCHE, NR1I2, NAMPT, and FABP1) were identified as feature genes. In the TCGA database, the seven feature genes also had certain diagnostic efficiency. Immune infiltration analysis revealed that feature genes regulate the infiltration of various immune cells. Metabolomics successfully identified the different metabolites of the phospholipid metabolism pathway between patients and normal individuals. The docking study indicated that different metabolites may play essential roles in causing disease by targeting feature genes.

conclusionsIn this study, for the first time, it reveals the possible involvement of genes linked to phospholipid metabolism-related genes using bioinformatics analysis. Identifying genes and probable therapeutic targets could provide clues for the further treatment of disease.

Indexed as

Carcinoma, HepatocellularHepatitis BHepatitis B virusLiver NeoplasmsMolecular Docking SimulationPhospholipidsGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMetabolomicsPhospholipidsBioinformaticsHepatocellular carcinomaMetabolomics

Identifiers

PMID39182089
PMCPMC11344459

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.