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We applied Mendelian randomisation (MR), multi\u2010omics integration, machine learning (ML), and SHAP to identify key metabolites and genes associated with SLE, revealing the crucial role of the glutathione pathway. MR analysis was performed on 1400 serum metabolites, revealing significant enrichment in the glutathione metabolic pathway. Single\u2010cell RNA sequencing (scRNA\u2010seq) data classified monocytes into Metabolism_high and Metabolism_low groups based on glutathione metabolism scores. Differentially expressed genes were analysed using GSEA, metabolic pathway activity assessment, transcription factor prediction, cellular communication analysis, and Pseudotime analysis. LASSO regression identified hub genes and machine learning models (CatBoost, XGBoost, NGBoost) were developed. The SHAP method was used to interpret these models. Expression of key genes was validated across multiple datasets. MR analysis confirmed that metabolites were enriched in the glutathione pathway, identifying nine hub genes. Machine learning models achieved AUCs of 0.85, 0.80, and 0.83 in the validation set. SHAP analysis highlighted LAP3 as the top contributing gene across all models. scRNA\u2010seq data showed that LAP3 plays a significant role in the immune microenvironment of SLE. Validation across multiple datasets (training, validation, and GSE112087) revealed elevated LAP3 expression in PBMCs of SLE patients, with AUCs of 0.935, 0.795, and 0.817, respectively, suggesting strong diagnostic potential. Glutathione metabolism is closely associated with SLE development and LAP3 may play a key role in its progression. Both glutathione metabolism and LAP3 could serve as potential targets for SLE diagnosis and treatment.<\/jats:p>","DOI":"10.1049\/syb2.70021","type":"journal-article","created":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T04:40:27Z","timestamp":1748925627000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Exploring Key Genes of Glutathione Metabolism in Systemic Lupus Erythematosus Based on Mendelian Randomisation, Single\u2010Cell RNA Sequencing and Multiple Machine Learning Approaches"],"prefix":"10.1049","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-1463-3345","authenticated-orcid":false,"given":"Kejiang","family":"Wang","sequence":"first","affiliation":[{"name":"The Department of Experimental Medicine Meishan City People's Hospital  Meishan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoqiong","family":"Li","sequence":"additional","affiliation":[{"name":"The 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