Evidence map›Paper›PMID 33468161›Full record

ArticleJournal of translational medicine2021

Identification of key biomarkers and immune infiltration in systemic lupus erythematosus by integrated bioinformatics analysis.

Xingwang Zhao, Longlong Zhang, Juan Wang, Min Zhang, Zhiqiang Song, Bing Ni, Yi You

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 132 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed, 2 pooled it
36.2field-weighted citation impact, top 1% 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

132 citing papers in PubMed, 2 syntheses or guidelines pooled it, 239 citations in OpenAlex.

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  15. Regulatory dynamics ofLupus science & medicine · 2026
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72 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Xingwang Zhao *Department of Dermatology, Southwest Hospital, Army Medical University, (Third Military Medical University), Chongqing, 400038, China.
Longlong Zhang *State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
Juan WangDepartment of Dermatology, Southwest Hospital, Army Medical University, (Third Military Medical University), Chongqing, 400038, China.
Min ZhangDepartment of Dermatology, Southwest Hospital, Army Medical University, (Third Military Medical University), Chongqing, 400038, China.
Zhiqiang SongDepartment of Dermatology, Southwest Hospital, Army Medical University, (Third Military Medical University), Chongqing, 400038, China.
Bing NiDepartment of Pathophysiology, College of High Altitude Military Medicine, Army Medical University, (Third Military Medical University), Chongqing, China. nibing@tmmu.edu.cn.
Yi YouDepartment of Dermatology, Southwest Hospital, Army Medical University, (Third Military Medical University), Chongqing, 400038, China. youyi_cq@163.com.ORCID 0000-0003-3436-2133
Army Medical University · CNKunming Institute of Zoology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystemic lupus erythematosus (SLE) is a multisystemic, chronic inflammatory disease characterized by destructive systemic organ involvement, which could cause the decreased functional capacity, increased morbidity and mortality. Previous studies show that SLE is characterized by autoimmune, inflammatory processes, and tissue destruction. Some seriously-ill patients could develop into lupus nephritis. However, the cause and underlying molecular events of SLE needs to be further resolved.

methodsThe expression profiles of GSE144390, GSE4588, GSE50772 and GSE81622 were downloaded from the Gene Expression Omnibus (GEO) database to obtain differentially expressed genes (DEGs) between SLE and healthy samples. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichments of DEGs were performed by metascape etc. online analyses. The protein-protein interaction (PPI) networks of the DEGs were constructed by GENEMANIA software. We performed Gene Set Enrichment Analysis (GSEA) to further understand the functions of the hub gene, Weighted gene co-expression network analysis (WGCNA) would be utilized to build a gene co-expression network, and the most significant module and hub genes was identified. CIBERSORT tools have facilitated the analysis of immune cell infiltration patterns of diseases. The receiver operating characteristic (ROC) analyses were conducted to explore the value of DEGs for SLE diagnosis.

resultsIn total, 6 DEGs (IFI27, IFI44, IFI44L, IFI6, EPSTI1 and OAS1) were screened, Biological functions analysis identified key related pathways, gene modules and co-expression networks in SLE. IFI27 may be closely correlated with the occurrence of SLE. We found that an increased infiltration of moncytes, while NK cells resting infiltrated less may be related to the occurrence of SLE.

conclusionIFI27 may be closely related pathogenesis of SLE, and represents a new candidate molecular marker of the occurrence and progression of SLE. Moreover immune cell infiltration plays important role in the progession of SLE.

Indexed as

Computational BiologyLupus Erythematosus, SystemicBiomarkersGene OntologyHumansProtein Interaction MapsBiomarkersBiomarkersIFI27Immune infiltrationIntegrated bioinformaticsSystemic lupus erythematosus

Identifiers

PMID33468161
PMCPMC7814551
OpenAlexW4211146151

What OpenQuestion holds

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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.