Evidence map›Paper›PMID 41209054›Full record

ArticleJournal of translational autoimmunity2025

Identification of key oxidative phosphorylation-related genes in systemic lupus erythematosus based on transcriptomics and bioinformatics analysis.

Shasha Wang, Hongmin Hu, Jingru Chen, Chengyin Li

Abstract read
In one paragraph

Article in Journal of translational autoimmunity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Shasha WangDepartment of Rheumatology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, 400021, China.
Hongmin HuDepartment of Rheumatology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, 400021, China.
Jingru ChenDepartment of Rheumatology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, 400021, China.
Chengyin LiDepartment of Rheumatology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, 400021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Oxidative phosphorylation (OXPHOS) dysfunction is increasingly recognized as a key factor in systemic lupus erythematosus (SLE) pathogenesis. This study aimed to identify OXPHOS-related core genes as potential SLE biomarkers and therapeutic targets. Methods: mRNA sequencing and GSEA were performed on MRL/lpr mouse kidneys. Cross-species differentially expressed genes (DEGs) were identified by integrating mouse data with human SLE kidney datasets from the Gene Expression Omnibus (GEO). Overlapping DEGs with OXPHOS-related genes from GeneCards, a protein-protein interaction (PPI) network was constructed to screen core genes, followed by GO and KEGG enrichment analyses. Gene expression was validated in SLE whole blood, skin lesions, and immune cell subsets using independent GEO datasets. Diagnostic value was assessed by receiver operating characteristic (ROC) analysis; correlation with disease activity was evaluated using the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI). Drug-target interactions were analyzed via DrugBank and STRING. Key genes were validated by qPCR in MRL/lpr kidneys. Results: The OXPHOS pathway was significantly downregulated in MRL/lpr kidneys. Ten consistently upregulated core genes-CCNA2, KIF11, CDC20, TOP2A, TPX2, AURKB, DLGAP5, FOXM1, MKI67, and CEP55-were identified and enriched in cell cycle regulation and cellular senescence. All ten were upregulated in SLE blood; seven in skin lesions. They were broadly overexpressed in immune cells, especially plasmablasts and CD4 Conclusion: This study identifies a systemic OXPHOS-related gene signature in SLE, highlighting promising candidates for diagnosis and targeted therapy.

Indexed as

BiomarkerOxidative phosphorylationSystemic lupus erythematosusTherapeutic targetTranscriptomics

Identifiers

PMID41209054
PMCPMC12593709

What Socratic holds

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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 Socratic graph.