Evidence map›Paper›PMID 35693262›Full record

ArticleComputational and mathematical methods in medicine2022

Decoding the Mechanism behind the Pathogenesis of the Focal Segmental Glomerulosclerosis.

Xiao Zhu, Liping Tang, Jingxin Mao, Yasir Hameed, Jingyu Zhang, Ning Li, Danny Wu, Yongmei Huang, Chen Li

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 3 countries.

Xiao ZhuSchool of Laboratory Medicine, Hangzhou Medical College, Hangzhou 310053, China.
Liping TangThe Eighth Medical Center, Chinese PLA General Hospital, Beijing 100091, China.
Jingxin MaoCollege of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China.ORCID https://orcid.org/0000-0002-2813-1702
Yasir HameedDepartment of Biochemistry and Biotechnology, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.
Jingyu ZhangSouthern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Guangdong Medical University, Zhanjiang 524024, China.ORCID https://orcid.org/0000-0002-5138-5372
Ning LiSouthern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Guangdong Medical University, Zhanjiang 524024, China.
Danny WuSouthern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Guangdong Medical University, Zhanjiang 524024, China.
Yongmei HuangSouthern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Guangdong Medical University, Zhanjiang 524024, China.ORCID https://orcid.org/0000-0003-2926-4635
Chen LiDepartment of Biology, Chemistry, Pharmacy, Free University of Berlin, Berlin 14195, Germany.ORCID https://orcid.org/0000-0002-6895-2759
Guangdong Medical College · CNChinese PLA General Hospital · CNFreie Universität Berlin · DEHangzhou Medical College · CNIslamia University of Bahawalpur · PKSouthwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Focal segmental glomerulosclerosis (FSGS) is a chronic glomerular disease associated with podocyte injury which is named after the pathologic features of the kidney. The aim of this study is to decode the key changes in gene expression and regulatory network involved in the formation of FSGS. Integrated network analysis included Gene Expression Omnibus (GEO) datasets to identify differentially expressed genes (DEGs) between FSGS patients and healthy donors. Bioinformatics analysis was used to identify the roles of the DEGs and included the development of protein-protein interaction (PPI) networks, Gene Ontology (GO), and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, and the key modules were assured. The expression levels of DEGs were validated using the additional dataset. Eventually, transcription factors and ceRNA networks were established to illuminate the regulatory relationships in the formation of FSGS. 1130 DEGs including 475 upregulated genes and 655 downregulated genes with functional enrichment analysis were determined. Further analysis uncovered that the validated hub genes were defined as candidate genes, including Complement C3a Receptor 1 (C3AR1), C-C Motif Chemokine Receptor 1(CCR1), C-X3-C Motif Chemokine Ligand 1 (CX3CL1), Melatonin Receptor 1A (MTNR1A), and Purinergic Receptor P2Y13 (P2RY13). More importantly, we identified transcription factors and mRNA-miRNA-lncRNA regulatory networks associated with the candidate genes. The candidate genes and regulatory networks discovered in this study can help to comprehend the molecular mechanism of FSGS and supply potential targets for the diagnosis and therapy of FSGS.

Indexed as

Gene Regulatory NetworksGlomerulosclerosis, Focal SegmentalComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticHumansProtein Interaction MapsTranscription FactorsTranscription Factors

Identifiers

PMID35693262
PMCPMC9175094
OpenAlexW4224209794

What OpenQuestion holds

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LicenceCC BY
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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.