Evidence map›Paper›PMID 36860851›Full record

ArticleFrontiers in immunology2023

Identification of shared gene signatures and molecular mechanisms between chronic kidney disease and ulcerative colitis.

Zhou Liang, Xinrong Hu, Ruoni Lin, Ziwen Tang, Ziyin Ye, Ren Mao, Wei Chen, Yi Zhou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.9field-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

15 citing papers in PubMed, 19 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

8 authors at 3 institutions in 1 country.

Zhou LiangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xinrong HuDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Ruoni LinDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Ziwen TangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Ziyin YeDepartment of Pathology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Ren MaoDepartment of Gastroenterology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Wei ChenDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yi ZhouDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
The First Affiliated Hospital, Sun Yat-sen University · CNKey Laboratory of Guangdong Province · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is a complex interaction between chronic kidney disease (CKD) and ulcerative colitis (UC), but the pathophysiological mechanisms underlying the coexistence of CKD and UC are unclear. This study aimed to investigate the key molecules and pathways that may mediate the co-occurrence of CKD and UC through quantitative bioinformatics analysis based on a public RNA-sequencing database. Methods: The discovery datasets of CKD (GSE66494) and UC (GSE4183), as well as validation datasets of CKD (GSE115857) and UC (GSE10616), were downloaded from the Gene Expression Omnibus (GEO) database. After identifying differentially expressed genes (DEGs) with GEO2R online tool, the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses for the DEGs were performed. Next, protein-protein interaction network was constructed with Search Tool for the Retrieval of Interacting Genes (STRING) and visualized by Cytoscape. Gene modules were identified by the plug-in MCODE and hub genes were screened using the plug-in CytoHubba. Then, correlation between immune cell infiltration and hub genes was analyzed, and the receiver operating characteristic curves were used to assess the predictive value of hub genes. Finally, immunostaining of human specimens was used to validate the relevant findings. Results: A total of 462 common DEGs were identified and selected for further analyses. GO and KEGG enrichment analyses indicated that these DEGs were primarily enriched in immune- and inflammation-related pathways. Among them, the PI3K-Akt signaling pathway ranked top in both discovery and validation cohorts, and the key signal molecule phosphorylated Akt (p-Akt) was shown to be significantly overexpressed in human CKD kidneys and UC colons, and further elevated in CKD-UC comorbidity specimens. Moreover, nine candidate hub genes, including Conclusions: Our study elucidated that immune response, PI3K-Akt signaling pathway, and ICAM1-mediated neutrophil infiltration might be the common pathogenesis of CKD and UC, and identified ICAM1 as a key potential biomarker and therapeutic target for the comorbidity of these two diseases.

Indexed as

Colitis, UlcerativeRenal Insufficiency, ChronicDatabases, Nucleic AcidHumansPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktchronic kidney diseaseintercellular adhesion molecule 1neutrophilPI3K-Akt signaling pathwayulcerative colitis

Identifiers

PMID36860851
PMCPMC9970095
OpenAlexW4320494689

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Registered trials

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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.