Evidence map›Paper›PMID 38448514›Full record

ArticleScientific reports2024

Identified S100A9 as a target for diagnosis and treatment of ulcerative colitis by bioinformatics analysis.

Lulu Tan, Xin Li, Hong Qin, Qingqing Zhang, Jinfeng Wang, Tao Chen, Chengwu Zhang, Xiaoying Zhang, Yuyan Tan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. 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
5.5field-weighted citation impact, top 4% 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, 10 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

9 authors at 3 institutions in 1 country.

Lulu Tan *The First College of Clinical Medical Science, China Three Gorges University and Yichang Central People' Hospital, Yichang, 443000, China.
Xin Li *Wuhan Asia Heart Hospital, Wuhan, 430022, China.
Hong Qin *The First College of Clinical Medical Science, China Three Gorges University and Yichang Central People' Hospital, Yichang, 443000, China.
Qingqing ZhangHaiyan County Hospital of Traditional Chinese Medicine, Jiaxing, 314399, China.
Jinfeng WangThe First College of Clinical Medical Science, China Three Gorges University and Yichang Central People' Hospital, Yichang, 443000, China.
Tao ChenThe First College of Clinical Medical Science, China Three Gorges University and Yichang Central People' Hospital, Yichang, 443000, China.
Chengwu ZhangThe First College of Clinical Medical Science, China Three Gorges University and Yichang Central People' Hospital, Yichang, 443000, China.
Xiaoying ZhangThe First College of Clinical Medical Science, China Three Gorges University and Yichang Central People' Hospital, Yichang, 443000, China. z15623636995@126.com.
Yuyan TanThe First College of Clinical Medical Science, China Three Gorges University and Yichang Central People' Hospital, Yichang, 443000, China. tyytyz@sina.com.
China Three Gorges University · CNYichang Central People's Hospital · CNWuhan Asia Heart Hospital · CN

Funding

Medical and Health Research Project of Yichang A23-1-107the Science and Technology Research Project of Education Department of Hubei Province B2019026
6 · The paper itself

Abstract

Ulcerative colitis (UC) is a chronic, recurrent inflammatory bowel disease. UC confronts with severe challenges including the unclear pathogenesis and lack of specific diagnostic markers, demanding for identifying predictive biomarkers for UC diagnosis and treatment. We perform immune infiltration and weighted gene co-expression network analysis on gene expression profiles of active UC, inactive UC, and normal controls to identify UC related immune cell and hub genes. Neutrophils, M1 macrophages, activated dendritic cells, and activated mast cells are significantly enriched in active UC. MMP-9, CHI3L1, CXCL9, CXCL10, CXCR2 and S100A9 are identified as hub genes in active UC. Specifically, S100A9 is significantly overexpressed in mice with colitis. The receiver operating characteristic curve demonstrates the excellent performance of S100A9 expression in diagnosing active UC. Inhibition of S100A9 expression reduces DSS-induced colonic inflammation. These identified biomarkers associated with activity in UC patients enlighten the new insights of UC diagnosis and treatment.

Indexed as

ColitisColitis, UlcerativeInflammatory Bowel DiseasesAnimalsBiomarkersCalgranulin BComputational BiologyHumansMiceBiomarkersCalgranulin BS100A9 protein, mouseBioinformatics analysisDiagnostic biomarkersImmune infiltrationS100A9Ulcerative colitis

Identifiers

PMID38448514
PMCPMC10917761
OpenAlexW4392509338

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.