ArticleBrain and behavior2025
Mendelian Randomization and Machine Learning Reveal Immune Cell and Gene Drivers in Systemic Lupus Erythematosus.
Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- Mendelian Randomization and Machine Learning Reveal Immune Cell and Gene Drivers in Systemic Lupus Erythematosus.Brain and behavior · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSystemic lupus erythematosus (SLE) is a complex autoimmune disease with unclear pathogenesis. Recent studies suggest that immune cell phenotypes may play a causal role. This study aimed to uncover causal immune cell types, key genes, and potential biomarkers using Mendelian randomization (MR) and machine learning.
methodsA two-sample MR analysis was performed on 731 immune cell traits to assess their causal relationship with SLE risk. Gene Expression Omnibus datasets were used to identify differentially expressed genes (DEGs), followed by immune infiltration analysis and machine learning-based gene selection. Key genes were validated using independent datasets and expression quantitative trait loci-MR analysis.
resultsSignificant causal links with SLE were observed for 10 immune cell subtypes (p < 0.01). A total of 17 DEGs, including FCGR2A, TMEM181, and RASA3, were identified as being associated with immune infiltration. Single-sample gene set enrichment analysis revealed altered immune cell compositions in SLE. Five key genes (FCGR2A, TMEM181, RASA3, BCAR3, and MCTP2) with strong diagnostic potential (area under the curve = 0.948) were identified using a support vector machine model. Their causal relevance was confirmed by MR.
conclusionsThis integrative approach revealed 10 immune cell types and five genes with causal roles in SLE, offering novel insights into disease mechanisms and potential targets for precision medicine.
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