Evidence map›Paper›PMID 35392084›Full record

ArticleFrontiers in immunology2022

Identification of Immune-Related Gene Signature and Prediction of CeRNA Network in Active Ulcerative Colitis.

Mengmeng Xu, Ying Kong, Nannan Chen, Wenlong Peng, Ruidong Zi, Manman Jiang, Jinfeng Zhu, Yuting Wang, Jicheng Yue, Jinrong Lv and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
13.5field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 74 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

12 authors at 3 institutions in 1 country.

Mengmeng XuInstitutes of Biology and Medical Sciences, Soochow University, Suzhou, China.
Ying KongInstitutes of Biology and Medical Sciences, Soochow University, Suzhou, China.
Nannan ChenInstitutes of Biology and Medical Sciences, Soochow University, Suzhou, China.
Wenlong PengInstitutes of Biology and Medical Sciences, Soochow University, Suzhou, China.
Ruidong ZiInstitutes of Biology and Medical Sciences, Soochow University, Suzhou, China.
Manman JiangInstitutes of Biology and Medical Sciences, Soochow University, Suzhou, China.
Jinfeng ZhuInstitutes of Biology and Medical Sciences, Soochow University, Suzhou, China.
Yuting WangInstitutes of Biology and Medical Sciences, Soochow University, Suzhou, China.
Jicheng YueInstitutes of Biology and Medical Sciences, Soochow University, Suzhou, China.
Jinrong LvInstitutes of Biology and Medical Sciences, Soochow University, Suzhou, China.
Yuanyuan ZengInstitutes of Biology and Medical Sciences, Soochow University, Suzhou, China.
Y Eugene ChinInstitutes of Biology and Medical Sciences, Soochow University, Suzhou, China.
Soochow University · CNFirst Affiliated Hospital of Soochow University · CNSecond Affiliated Hospital of Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ulcerative colitis (UC) is an inflammatory disease of the intestinal mucosa, and its incidence is steadily increasing worldwide. Intestinal immune dysfunction has been identified as a central event in UC pathogenesis. However, the underlying mechanisms that regulate dysfunctional immune cells and inflammatory phenotype remain to be fully elucidated. Methods: Transcriptome profiling of intestinal mucosa biopsies were downloaded from the GEO database. Robust Rank Aggregation (RRA) analysis was performed to identify statistically changed genes and differentially expressed genes (DEGs). Gene Set Enrichment Analysis (GSEA), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to explore potential biological mechanisms. CIBERSORT was used to evaluate the proportion of 22 immune cells in biopsies. Weighted co-expression network analysis (WGCNA) was used to determine key module-related clinical traits. Protein-Protein Interaction (PPI) network and Cytoscape were performed to explore protein interaction network and screen hub genes. We used a validation cohort and colitis mouse model to validate hub genes. Several online websites were used to predict competing endogenous RNA (ceRNA) network. Results: RRA integrated analysis revealed 1838 statistically changed genes from four training cohorts (adj. Conclusions: Our integrated analysis identified four hub genes (

Indexed as

Colitis, UlcerativeMicroRNAsAnimalsComputational BiologyGene Regulatory NetworksHumansMiceNF-kappa BMicroRNAsMirn129 microRNA, humanMIRN340 microRNA, humanNF-kappa Bactive UCAGPceRNA networkgene signaturesGEO datasetintegrated analysis

Identifiers

PMID35392084
PMCPMC8980722
OpenAlexW4221120560

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.