Evidence map›Paper›PMID 39652607›Full record

ArticlePloS one2024

Identification of cuproptosis-related genes in septic shock based on bioinformatic analysis.

Jintong Zhao, Meng Zhang, Ying Wang, Feifei He, Qiang Zhang

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

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jintong ZhaoDepartment of Critical Medicine, Zibo Central Hospital, Zibo, China.
Meng ZhangDepartment of Critical Medicine, Qingdao Central Hospital, Qingdao, China.
Ying WangDepartment of Nosocomial Infection, Qingdao Cancer Hospital, Qingdao, China.
Feifei HeDepartment of Critical Medicine, Qingdao Hiser Hospital, Affiliated Hospital of Qingdao University (Qingdao Traditional Chinese Medicine Hospital), Qingdao, China.
Qiang ZhangDepartment of Critical Medicine, Zibo Central Hospital, Zibo, China.ORCID 0009-0002-7228-6602

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeptic shock is a life-threatening condition characterized by a failure of organ systems and a high mortality rate. Cuproptosis is a new form of cell death that is triggered by copper overload. However, the relationship between cuproptosis-related genes and septic shock remains unclear.

methodsThe GSE26440 dataset from the GEO database was used to screen differentially expressed genes (DEGs) between control and septic shock samples. Additionally, hub genes related to the progression of septic shock and cuproptosis were screened by Venn analysis. RT-qPCR was utilized to validate the expression of hub genes in peripheral blood lymphocytes from septic shock patients and healthy controls. Next, functional analysis and immune cells infiltration were performed.

resultsSLC31A1 and MTF1 levels were obviously elevated and LIAS and LIPT1 levels were downregulated in septic shock samples, compared to normal controls. The diagnostic values of the four genes were confirmed with receiver operating characteristic (ROC) curves. Additionally, SLC31A1 and MTF1 showed a positive correlation with natural killer cells and LIAS and LIPT1 exhibited a positive correlation with CD8+ T cells. Furthermore, compared to low-level groups, MAPK signaling was activated in the high-SLC31A1 level group, VEGF signaling was activated in the high-MTF1 level group and lipoic acid metabolism was activated in high-LIAS and high-LIPT1 level groups.

conclusionThis study demonstrates that SLC31A1, MTF1, LIAS, and LIPT1 are dysregulated in septic shock samples, and these genes exhibit potential diagnostic efficacy in septic shock, suggesting that these genes may be potential biomarkers for the diagnosis of septic shock.

Indexed as

Computational BiologyShock, SepticCopper Transporter 1Gene Expression ProfilingHumansROC CurveCopper Transporter 1

Identifiers

PMID39652607
PMCPMC11627398

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