Evidence map›Paper›PMID 35070815›Full record

ArticleTranslational andrology and urology2021

Bioinformatics analysis of pathways of renal infiltrating macrophages in different renal disease models.

Yin Celeste Cheuk, Pingbao Zhang, Shihao Xu, Jiyan Wang, Tian Chen, Yongxin Mao, Yamei Jiang, Yongsheng Luo, Jingjing Guo, Weixi Wang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Translational andrology and urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

11 authors at 5 institutions in 1 country.

Yin Celeste Cheuk *Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
Pingbao Zhang *Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
Shihao XuDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
Jiyan WangDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
Tian ChenDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yongxin MaoDepartment of Urology, Huadong Hospital, Fudan University, Shanghai, China.
Yamei JiangDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yongsheng LuoDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
Jingjing GuoDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
Weixi WangDepartment of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai, China.
Ruiming RongDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
Fudan University · CNZhongshan Hospital · CNShanghai Institute of Organic Chemistry · CNSun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies have suggested that macrophages are significantly involved in different renal diseases. However, the role of these renal infiltrating macrophages has not been entirely uncovered. To further clarify the underlying mechanism and identify therapeutic targets, a bioinformatic analysis based on transcriptome profiles was performed.

methodsThree transcription profiling datasets, GSE27045, GSE51466 and GSE75808, were obtained from the Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) were assessed by Gene Ontology (GO) functional annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and gene set enrichment analysis (GSEA).

resultsThe classic signaling pathways and metabolic pathways of macrophages infiltrating the kidney in different pathophysiological processes, including lupus nephritis (LN), renal crystal formation and renal ischemia-reperfusion injury (IRI), were analysed. Furthermore, the common classical pathways significantly altered in the three renal disorders were the oxidative phosphorylation, VEGF signaling and JAK/STAT signaling pathways, while the renin-angiotensin system was uniquely altered in LN, the glycolysis and gluconeogenesis pathways were uniquely altered in models of renal crystal formation, and the calcium signaling pathway was specific to renal IRI.

conclusionsVia bioinformatics analysis, this study revealed the transcriptional features of macrophages in murine LN, renal crystal formation and IRI models, which may serve as promising targets for mechanistic research and the clinical treatment of multiple renal diseases.

Indexed as

bioinformatics analysisMacrophagerenal diseasesignaling pathways

Identifiers

PMID35070815
PMCPMC8749068
OpenAlexW4205203012

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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.