Evidence map›Paper›PMID 35422958›Full record

ArticleAmerican journal of translational research2022

SOX18-associated gene signature predicts sepsis outcome.

Anlin Feng, Wenli Ma, Reem Faraj, Stephen M Black, Ting Wang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 51% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Anlin FengCenter of Translational Science, Florida International University Port St. Lucie, FL 34987, USA.
Wenli MaCenter of Translational Science, Florida International University Port St. Lucie, FL 34987, USA.
Reem FarajCenter of Translational Science, Florida International University Port St. Lucie, FL 34987, USA.
Stephen M BlackCenter of Translational Science, Florida International University Port St. Lucie, FL 34987, USA.
Ting WangCenter of Translational Science, Florida International University Port St. Lucie, FL 34987, USA.
Florida International University · USUniversity of Arizona · US

Funding

TGF-ß-SOX18-Collagen metabolism in pulmonary vascular disease associated with CHDP01HL146369 · NHLBI · UNIVERSITY OF ARIZONA · PI Stephen M Black · 2020 to 2026
$18.7M
Protein Chemistry & Biophysics CoreP01HL134610 · NHLBI · UNIVERSITY OF ARIZONA · PI BLACK, STEPHEN M · 2018 to 2022
$11.6M
PKG Signaling and Sepsis Induced ALIR01HL142212 · NHLBI · UNIVERSITY OF ARIZONA · PI BLACK, STEPHEN M, ZEMSKOV, EVGENY A. · 2018 to 2021
$1.8M
NHLBI NIH HHS P01 HL134610NHLBI NIH HHS P01 HL146369NHLBI NIH HHS R01 HL142212
6 · The paper itself

Abstract

objectivesSepsis is a critical medical condition associated with an high mortality. Currently, there are no reliable diagnostic or prognostic biomarkers to evaluate sepsis outcomes. SRY (sex-determining region on the Y chromosome)-box transcription factor 18 (SOX18) is an endothelial barrier protective protein, and a decreased level of SOX18 expression is involved in disruption of human endothelial cell barrier integrity. Over-expression of SOX18 attenuates the bacterial lipopolysaccharide (LPS)-mediated disruption of the vascular barrier and is associated with favorable prognosis. The utility of SOX18-related genes as biomarkers in sepsis is uncertain.

methodsTranscriptomic analysis was used to profile the PBMC samples of patients with sepsis across two Gene Expression Omnibus (GEO) datasets with survival data. An 84-gene signature was derived from discovery datasets that correlated with SOX18 gene expression and sepsis survival.

resultsKyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed Th1 and Th2 cell differentiation, Cytokine-cytokine receptor interaction, and T cell receptor signaling pathways as the most significantly enriched KEGG pathways among 84 genes. A severity score based on the gene expression of 84 genes was allocated to each patient. A notable increase was detected in sepsis patients compared to healthy controls in both discovery and validation cohorts. SOX18-associated gene signature discriminated severe cases from mild cases and performed significantly better than both random 84-gene sets from whole genomes or sepsis survival-related genes. Furthermore, we obtained an 18-gene signature from screening these 84 genes in a LASSO model, which performed better in both discovery and validation cohorts.

conclusionsData support SOX18-associated gene signatures as a prognostic biomarker for sepsis.

Indexed as

gene signaturesepsis survivalSOX18

Identifiers

PMID35422958
PMCPMC8991122
OpenAlexW4226166020

What OpenQuestion holds

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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 OpenQuestion graph.