Evidence map›Paper›PMID 30041664›Full record

ArticleJournal of translational medicine2018

Comprehensive identification of immune-associated biomarkers based on network and mRNA expression patterns in membranous glomerulonephritis.

Chengwei Zhang, Lei Leng, Xiaoming Zhang, Yao Zhao, Zhaozheng Li

Abstract read
In one paragraph

Article in Journal of translational medicine, 2018. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chengwei ZhangDepartment of Nephrology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150006, Heilongjiang, People's Republic of China. zhangchengwei1981@163.com.ORCID 0000-0002-2110-5501
Lei LengThe Second Hospital of Harbin, Heilongjiang, 150006, People's Republic of China.
Xiaoming ZhangXiangan Hospital, The First Affiliated Hospital of Xiamen University, Xiamen, 710000, Shanxi, People's Republic of China.
Yao ZhaoDepartment of Nephrology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150006, Heilongjiang, People's Republic of China.
Zhaozheng LiDepartment of Nephrology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150006, Heilongjiang, People's Republic of China.

Funding

Youth Science Foundation of Heilongjiang Province QC2015107
6 · The paper itself

Abstract

backgroundMembranous glomerulonephritis (MGN) is the most common cause of nephrotic syndrome in adult patients. Despite extensive evidences suggested that many immune-related genes could serve as effective biomarkers in MGN, the potential has not been sufficiently understood because of most previous studies have concentrated on individual gene and not the entire interaction network.

methodsHere, we integrated multiple levels of data containing immune-related genes, MGN-related genes, protein-protein interaction (PPI) networks and gene expression profiling data to construct an immune or MGN-directed neighbor network (IOMDN network) and an MGN-related genes-directed network (MGND network).

resultsOur analysis suggested that immune-related genes in the PPI network have special topological characteristics and expression pattern related to MGN. We also identified five network modules which showed tighter network structure and stronger correlation of expression. In addition, functional and drug target analyses of genes in modules indicated that the potential mechanism for MGN.

conclusionsCollectively, these results indicated that the strong associations between immune and MGN and showed the potential of immune-related genes as novel diagnostic and therapeutic targets for MGN.

Indexed as

Gene Expression RegulationGene Regulatory NetworksBiomarkersDrug Delivery SystemsGlomerulonephritis, MembranousHumansRNA, MessengerBiomarkersRNA, MessengerBiomarkerImmuneMembranous glomerulonephritisNetwork modulesTopology feature

Identifiers

PMID30041664
PMCPMC6056925

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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.