Evidence map›Paper›PMID 33384713›Full record

ArticleFrontiers in genetics2020

Identification of Molecular Markers Associated With the Pathophysiology and Treatment of Lupus Nephritis Based on Integrated Transcriptome Analysis.

Menghui Yao, Congcong Gao, Chunyi Zhang, Xueqi Di, Wenfang Liang, Wenbo Sun, Qianqian Wang, Zhaohui Zheng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  8. Identifying key genes in CD4Frontiers in genetics · 2022
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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 1 institution in 1 country.

Menghui YaoDepartment of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Congcong GaoDepartment of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Chunyi ZhangDepartment of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xueqi DiDepartment of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wenfang LiangDepartment of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wenbo SunDepartment of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qianqian WangDepartment of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhaohui ZhengDepartment of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lupus nephritis (LN) is a well-known complication of systemic lupus erythematosus and is its leading cause of morbidity and mortality. Our study aimed to identify the molecular markers associated with the pathophysiology and treatment of LN. The renal tissue gene expression profiles of LN patients in the GSE32591 dataset were downloaded as a discovery cohort from the Gene Expression Omnibus. Differentially expressed genes (DEGs) were identified; weighted gene co-expression network analysis (WGCNA) was used to identify the co-expression modules of DEGs; and gene function enrichment analysis, molecular crosstalk analysis, and immune cell infiltration analysis were performed to explore the pathophysiological changes in glomeruli and tubulointerstitia of LN patients. The crosstalk genes were validated in another RNA-sequencing cohort. DEGs common in RNA-sequencing dataset and GSE32591 were uploaded to the Connectivity Map (CMap) database to find prospective LN-related drugs. Molecular docking was used to verify the targeting association between candidate small molecular compounds and the potential target. In all, 420 DEGs were identified; five modules and two modules associated with LN were extracted in glomeruli and tubulointerstitia, respectively. Functional enrichment analysis showed that type I interferon (IFN) response was highly active, and some biological processes such as metabolism, detoxification, and ion transport were impaired in LN. Gene transcription in glomeruli and tubulointerstitia might affect each other, and some crosstalk genes, such as

Indexed as

bioinformaticsdifferentially expressed geneslupus nephritissystemic lupus erythematosusWGCNA

Identifiers

PMID33384713
PMCPMC7770169
OpenAlexW3111288068

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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.