Evidence map›Paper›PMID 40000789›Full record

ArticleScientific reports2025

The relationship between expression level and gene polymorphism of inflammatory factors and sepsis risk.

Shubao Wang, Tianyu Liang, Chulei Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–field-weighted citation impact
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

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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.

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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

3 authors.

Shubao Wang *Emergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou, Zhejiang, China.
Tianyu Liang *Emergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou, Zhejiang, China.
Chulei ZhangIntensive Care Unit, Haiyan People's Hospital, No. 699 Jianfeng Road, Wuyuan Street, Haiyan County, Jiaxing City, 314300, Zhejiang Province, China. zclzcl0930@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biomarkers associated with sepsis have not yet been completely elucidated. The objective of the current article is to investigate whether inflammatory factors act as risk factors for sepsis. The study included 320 adult patients with sepsis, which were enrolled as experimental group. In addition, 560 healthy individuals from the same period were selected as the control group. Cytokine expressions were measured using flow cytometry with fluorescence, and gene polymorphisms were analyzed through the PCR-RFLP technique. Significantly higher expression levels of IL-1, IL-6, IL-10, and TNF-α, were detected (p < 0.05). This study also identified specific polymorphisms IL-1B -511 C/T, IL-10 -1082 G/A, IL-6 -174 G/C, and TNF-α -308 G/A, that were significantly associated with an increased risk of sepsis (p < 0.05). The expression levels of IL-1, IL-6, IL-10, and TNF-α are associated with an increased risk of sepsis. Additionally, the polymorphisms IL-1B -511 C/T, IL-6 -174 G/C, IL-10 -1082 G/A, IFN-γ + 874 A/T, and TNF-α -308 G/A are also linked to sepsis risk in the Chinese population.

Indexed as

CytokinesGenetic Predisposition to DiseasePolymorphism, Single NucleotideSepsisAdultAgedCase-Control StudiesFemaleHumansInterleukin-10MaleMiddle AgedRisk FactorsTumor Necrosis Factor-alphaCytokinesInterleukin-10Tumor Necrosis Factor-alphaGene expressionGene polymorphismInflammatory factorsSepsis

Identifiers

PMID40000789
PMCPMC11861965

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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.