Evidence map›Paper›PMID 36595110›Full record

ArticleClinical rheumatology2023

Identification of potential biomarkers for systemic lupus erythematosus by integrated analysis of gene expression and methylation data.

Wenjing Zhang, Guixin Liang, Huifeng Zhou, Xuedan Zeng, Zhiwen Zhang, Xia Xu, Kuan Lai

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. The role of DNA methylation in the regulation of HLA expression.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2026
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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

7 authors at 2 institutions in 1 country.

Wenjing ZhangDepartment of Dermatology, Nanfang Hospital, Southern Medical University, Baiyun District, No. 1838, North Guangzhou Avenue, Guangzhou, 510515, China.
Guixin LiangDepartment of Dermatology, Nanfang Hospital, Southern Medical University, Baiyun District, No. 1838, North Guangzhou Avenue, Guangzhou, 510515, China.
Huifeng ZhouDepartment of Dermatology, Nanfang Hospital, Southern Medical University, Baiyun District, No. 1838, North Guangzhou Avenue, Guangzhou, 510515, China.
Xuedan ZengDepartment of Dermatology, Nanfang Hospital, Southern Medical University, Baiyun District, No. 1838, North Guangzhou Avenue, Guangzhou, 510515, China.
Zhiwen ZhangDepartment of Dermatology, Nanfang Hospital, Southern Medical University, Baiyun District, No. 1838, North Guangzhou Avenue, Guangzhou, 510515, China.
Xia XuGuangzhou Institute of Dermatology, Guangzhou, 510030, China.
Kuan LaiDepartment of Dermatology, Nanfang Hospital, Southern Medical University, Baiyun District, No. 1838, North Guangzhou Avenue, Guangzhou, 510515, China. lai_kuan@163.com.ORCID http://orcid.org/0000-0002-3957-3709
Nanfang Hospital · CNGuangzhou Institute of Dermatology · CN

Funding

Medical Science and Technology Foundation of Guangdong Province A2019180National Natural Science Foundation of China 82073440
6 · The paper itself

Abstract

introductionSystemic lupus erythematosus (SLE) is a heterogeneous and chronic autoimmune disease. Aberrant DNA methylation occurs during various processes of SLE development regulating the mRNA expression of interrelated genes. This study aims to screen potential DNA methylation markers for SLE.

methodsGene expression and methylation datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between SLE patients and healthy controls were screened using the limma R package, and differentially methylated positions (DMPs) and regions (DMRs) were identified using dmpfinder and bumphunter (minfi). Additionally, the DNA methylation markers to distinguish SLE patients from healthy controls were explored through receiver operating characteristic (ROC) curves and logistic regression analyses. Finally, we validated the results of the bioinformatic analysis by pyrosequencing.

resultsIn total, 91 DEGs, 90,092 DMPs, 15 DMRs, and 13 DMR-associated genes were identified. Through the integrative analysis of DEG- and DMR-associated genes, we identified five type I interferon (IFN)-related genes as key epigenetic-driven genes in SLE. GO enrichment analysis showed that the five SLE-associated epigenetic-driven genes were mainly enriched in the type I IFN signaling pathway involved in immune response and defense response to virus. Moreover, we identified two SLE-specific DNA methylation markers, three SLE without lupus nephritis (SLE-LN

conclusionsOverall, our study demonstrates potential DNA methylation markers of SLE, SLE-LN

Indexed as

Interferon Type ILupus Erythematosus, SystemicLupus NephritisBiomarkersDNA MethylationGene ExpressionHumansBiomarkersInterferon Type IDNA methylationEpigeneticGene expressionSystemic lupus erythematosusType I interferon

Identifiers

PMID36595110
OpenAlexW4313431604

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.