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Identification of Feature Autophagy-Related Genes and DNA Methylation Profiles in Systemic Lupus Erythematosus Patients.

ABSTRACT: BACKGROUND The aim of this study was to identify feature autophagy-related genes (ARGs) in systemic lupus erythematosus (SLE), evaluate their diagnostic value, and further explore DNA methylation and expression levels in the pathogenesis of SLE. MATERIAL AND METHODS WGCNA was used to construct network and selected hub genes based on gene expression dataset GSE81622. ARGS were overlapped with hub genes, and feature ARGs were identified. A diagnostic model was established by these feature ARGs using LASSO. GSE96879 was used to analyze the methylation levels of feature ARGs. The expression and methylation levels of feature ARGs were verified using RT-PCR and methylation-specific PCR. RESULTS We found that 55 hub genes were highly connected to the red module of WGCNA, and ARGs were extracted from the Human Autophagy Database and the GO_AUTOPHAGY gene set. Overlapping of 55 hub gene with ARGs resulted in 18 feature ARGs. S100A8, MyD88, and NCR3 from the 18 feature ARGs showed higher good diagnostic value for SLE. Five differentially methylated positions locating to S100A8, MyD88, and NCR3 genes were identified from GSE96879. After validation tests, RT-PCR showed that gene expressions of MyD88 and S100A8 were increased in the PBMCs samples of SLE patients compared with healthy controls, whereas NCR3 was the opposite. MSP found that cg24898863 (S100A8) was hypomethylated, while cg27490128 (NCR3) was hypermethylated in the SLE group, and S100A8 and NCR3 methylation were positively correlated with their expressions. CONCLUSIONS Our present study identified the potential roles of feature ARGs in SLE diagnosis, and shows correlation among DNA methylation and gene expressions of these feature ARGs in SLE.

SUBMITTER: Gao B

PROVIDER: S-EPMC8705071 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectiveTo evaluate the specificity of expression patterns of cell-free circulating microRNAs (miRNAs) in systemic lupus erythematosus (SLE).MethodsTotal RNA was purified from plasma, and 45 different specific, mature miRNAs were determined using quantitative reverse transcription-polymerase chain reaction assays. A total of 409 plasma samples were obtained from 364 different patients with SLE, healthy control subjects, and control subjects with other autoimmune diseases. The results in the primary cohort of 62 patients with SLE and 29 healthy control subjects were validated in 2 independent cohorts: a validation cohort comprising 68 patients with SLE and 68 healthy control subjects, and a disease control cohort comprising 20 patients with SLE (19 of whom were from the other validation cohort), 46 healthy control subjects, 38 patients with vasculitis, 18 patients with rheumatoid arthritis, and 20 immunosuppressed patients.ResultsSeven miRNAs were statistically significantly differentially expressed in plasma from patients with SLE. The expression of miRNA-142-3p (miR-142-3p) and miR-181a was increased, and the expression of miR-106a, miR-17, miR-20a, miR-203, and miR-92a was decreased. In addition, the expression of miR-342-3p, miR-223, and miR-20a was significantly decreased in SLE patients with active nephritis. A predictive model for SLE based on 2 or 4 miRNAs differentiated patients with SLE from control subjects (76% accuracy) when validated independently (P < 2 × 10(-9) ). Use of the 4-miRNA model provided highly significant differentiation between the SLE group and disease controls, except for those with vasculitis.ConclusionCirculating miRNAs are systematically altered in SLE. A 4-miRNA signature was diagnostic of SLE, and a specific subset of miRNA profiles was associated with nephritis. All of the signature miRNAs target genes in the transforming growth factor β signaling pathways. Other targets include regulation of apoptosis, cytokine-cytokine receptors, T cell development, and cytoskeletal organization. These findings highlight possible dysregulated pathways in SLE and suggest that circulating miRNA patterns distinguish SLE from other immunoinflammatory phenotypes.

Dataset Information

Identification of Feature Autophagy-Related Genes and DNA Methylation Profiles in Systemic Lupus Erythematosus Patients.

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