Evidence map›Paper›PMID 31638917›Full record

ArticleBMC immunology2019

Immune cell infiltration characteristics and related core genes in lupus nephritis: results from bioinformatic analysis.

Yiling Cao, Weihao Tang, Wanxin Tang

Open access · goldAbstract read
In one paragraph

Article in BMC immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

57 citing papers in PubMed, 92 citations in OpenAlex.

  1. Predicting diagnostic gene biomarkers associated with immune infiltration in patients with diabetes.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
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  14. Monocytes and Macrophages in Kidney Disease and Homeostasis.International journal of molecular sciences · 2024
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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

3 authors at 1 institution in 1 country.

Yiling CaoDepartment of Nephrology, West China Hospital, Sichuan University, No.37, Guoxue alley, Chengdu, 610000, Sichuan, China.
Weihao TangChengdu Foreign Language School, Chengdu, Sichuan, China.
Wanxin TangDepartment of Nephrology, West China Hospital, Sichuan University, No.37, Guoxue alley, Chengdu, 610000, Sichuan, China. kidney123@163.com.ORCID http://orcid.org/0000-0001-6709-5591
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLupus nephritis (LN) is a common complication of systemic lupus erythematosus that presents a high risk of end-stage renal disease. In the present study, we used CIBERSORT and gene set enrichment analysis (GSEA) of gene expression profiles to identify immune cell infiltration characteristics and related core genes in LN.

resultsDatasets from the Gene Expression Omnibus, GSE32591 and GSE113342, were downloaded for further analysis. The GSE32591 dataset, which included 32 LN glomerular biopsy tissues and 14 glomerular tissues from living donors, was analyzed by CIBERSORT. Different immune cell types in LN were analyzed by the Limma software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis based on GSEA were performed by clusterProfiler software. Lists of core genes were derived from Spearman correlation between the most significant GO term and differentially expressed immune cell gene from CIBERSORT. GSE113342 was employed to validate the association between selected core genes and clinical manifestation. Five types of immune cells revealed important associations with LN, and monocytes emerged as having the most prominent differences. GO and KEGG analyses indicated that immune response pathways are significantly enriched in LN. The Spearman correlation indicated that 15 genes, including FCER1G, CLEC7A, MARCO, CLEC7A, PSMB9, and PSMB8, were closely related to clinical features.

conclusionsThis study is the first to identify immune cell infiltration with microarray data of glomeruli in LN by using CIBERSORT analysis and provides novel evidence and clues for further research of the molecular mechanisms of LN.

Indexed as

Computational BiologyDisease SusceptibilityBiomarkersGene Expression ProfilingGene Expression RegulationGene OntologyGene Regulatory NetworksHumansImmune SystemLupus NephritisReproducibility of ResultsTranscriptomeBiomarkersCIBERSORTGSEAImmune infiltrationLupus nephritisSystemic lupus erythematosus

Identifiers

PMID31638917
PMCPMC6805654
OpenAlexW2982003071

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.