Evidence mapPaperPMID 38029239Full record

ArticleFrontiers in cellular and infection microbiology2023

Crosstalk between septic shock and venous thromboembolism: a bioinformatics and immunoassay analysis.

Zhishu Li, Chaolan Wang, Xu Zhang, Xiaolin Xu, Meng Wang, Lixia Dong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Gene Expression Dysregulation in Whole Blood of Patients withInternational journal of molecular sciences · 2024
    Article
  3. The Association Between Immune Cells and Venous Thromboembolism: A Causal Inference Based on Mendelian Randomization.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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 3 institutions in 1 country.

Zhishu Li *Department of Respiratory and Critical Care Medicine, Guangyuan Central Hospital, Guangyuan, China.
Chaolan Wang *Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Xu Zhang *Department of Respiratory and Critical Care Medicine, Guangyuan Central Hospital, Guangyuan, China.
Xiaolin XuSchool of Statistics, Renmin University of China, Bejing, China.
Meng WangDepartment of Respiratory and Critical Care Medicine, Guangyuan Central Hospital, Guangyuan, China.
Lixia DongDepartment of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Taiyuan Central Hospital · CNTianjin Medical University General Hospital · CNRenmin University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Herein, we applied bioinformatics methods to analyze the crosstalk between septic shock (SS) and venous thromboembolism (VTE), focusing on the correlation with immune infiltrating cells. Methods: Expression data were obtained from the Gene Expression Omnibus (GEO) database, including blood samples from SS patients (datasets GSE64457, GSE95233, and GSE57065) and VTE patients (GSE19151). We used the R package "limma" for differential expression analysis ( Results: In the present study, we conducted a comparison between 88 patients with septic shock and 55 control subjects. Additionally, we compared 70 patients with venous thromboembolism to 63 control subjects. Twelve intersected genes and their corresponding three important molecular pathways were obtained: Metabolic, Estrogen, and FOXO signaling pathways. The resulting PPI network has 194 nodes and 388 edges. The immune microenvironment analysis of the two diseases showed that the infiltration levels of M2 macrophages and Class-switched memory B cells were correlated with the enrichment scores of metabolic, estrogen, and FOXO signaling pathways. Finally, qPCR confirmed that the expression of MMP9, S100A12, ARG1, SLPI, and ANXA3 mRNA in the SS with VTE group was significantly elevated. WB and IHC experiments revealed that MMP9 protein was significantly elevated in the experimental group. Conclusion: Metabolic, estrogen, and FOXO pathways play important roles in both SS and VTE and are related to the immune cell microenvironment of M2 macrophages and Class-switched memory B cells. MMP9 shows promise as a biomarker for diagnosing sepsis with venous thrombosis and a potential molecular target for treating this patient population.

Indexed as

Shock, SepticVenous ThromboembolismAnimalsComputational BiologyEndothelial CellsEstrogensGene Expression ProfilingHumansMatrix Metalloproteinase 9MiceRNA, MessengerEstrogensMatrix Metalloproteinase 9RNA, Messengerbioinformaticsimmunologyinflammationsepsisvenous thromboembolism

Identifiers

PMID38029239
PMCPMC10666789
OpenAlexW4388635757

What Socratic holds

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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.