Evidence map›Paper›PMID 36253874›Full record

ArticleHereditas2022

Integrative analyses of genes related to liver ischemia reperfusion injury.

Hang-Pin Wang, Chu-Hong Chen, Ben-Kai Wei, Ying-Lei Miao, Han-Fei Huang, Zhong Zeng

Open access · goldAbstract read
In one paragraph

Article in Hereditas, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% of its field
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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Introducing critical proteins related to liver ischemia/reperfusion injury.Gastroenterology and hepatology from bed to bench · 2024
    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

6 authors at 1 institution in 1 country.

Hang-Pin WangOrgan Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China.
Chu-Hong ChenOrgan Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China.
Ben-Kai WeiOrgan Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China.
Ying-Lei MiaoDepartment of Gastroenterology, the First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China.
Han-Fei HuangOrgan Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China. huanghanfei@kmmu.edu.cn.
Zhong ZengOrgan Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China. zengzhong@kmmu.edu.cn.ORCID http://orcid.org/0000-0001-9264-4871
Kunming Medical University · CN

Funding

National Natural Science Foundation of China 81960123
6 · The paper itself

Abstract

backgroundLiver ischemia reperfusion injury (LIRI) is not only a common injury during liver transplantation and major hepatic surgery, but also one of the primary factors that affect the outcome of postoperative diseases. However, there are still no reliable ways to tackle the problem. Our study aimed to find some characteristic genes associated with immune infiltration that affect LIRI, which can provide some insights for future research in the future. Therefore, it is essential for the treatment of LIRI, the elucidation of the mechanisms of LIRI, and exploring the potential biomarkers. Efficient microarray and bioinformatics analyses can promote the understanding of the molecular mechanisms of disease occurrence and development.

methodData from GSE151648 were downloaded from GEO data sets, and we performed a comprehensive analysis of the differential expression, biological functions and interactions of LIRI-associated genes. Then we performed Gene ontology (GO) analysis and Kyotoencydlopedia of genes and genomes (KEGG) enrichment analysis of DEGs. At last, we performed a protein-protein interaction network to screen out hub genes.

resultsA total of 161 differentially expressed genes (DEGs) were identified. GO analysis results revealed that the changes in the modules were mostly enriched in the neutrophil degranulation, neutrophil activation involved in immune response, and neutrophil mediated immunity. KEGG enrichment analysis of DEGs demonstrated that LIRI mainly involved the cytokine-cytokine receptor interaction. Our data indicated that macrophages and neutrophils are closely related to LIRI. 9 hub genes were screened out in the protein-protein interaction network.

conclusionsIn summary, our data indicated that neutrophil degranulation, neutrophil activation involved in immune response, neutrophil mediated immunity and cytokine-cytokine receptor interaction may play a key role in LIRI, HRH1, LRP2, P2RY6, PKD1L1, SLC8A3 and TNFRSF8, which were identified as potential biomarkers in the occurrence and development of LIRI. However, further studies are needed to validate these findings and explore the molecular mechanism of these biomarkers in LIRI.

Indexed as

Gene Regulatory NetworksReperfusion InjuryBiomarkersCytokinesGene Expression ProfilingHumansLiverMembrane ProteinsReceptors, CytokineBiomarkersCytokinesMembrane ProteinsPKD1L1 protein, humanReceptors, CytokineDifferentially expressed gene (DEG)Liver ischemia reperfusion injury (LIRI)Network analysisProtein-protein interaction

Identifiers

PMID36253874
PMCPMC9578272
OpenAlexW4306658316

What OpenQuestion holds

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LicenceCC BY
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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.