Association of Immune-Related Genetic and Epigenetic Alterations with Lupus Nephritis

Mei, Xiaole; Jin, Hui; Zhao, Ming; Lu, Qianjin

doi:10.1159/000524937

Cited by 2 publications

(2 citation statements)

References 111 publications

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“…More than 20 cross-sectional case-control studies have shown that the expressions of IFI27, IFI44, IFI44L, IFIT1, PRKR and RSAD2 are proportionally clustered in LN (131). IFI44L promoter methylation can be used as a blood biomarker for LN (132)(133)(134). The protein encoded by IL10RA is a receptor for interleukin 10 (IL-10) (135).…”

Section: Correlation Of Degs With Lnmentioning

confidence: 99%

Predicting diagnostic gene expression profiles associated with immune infiltration in patients with lupus nephritis

Wang

Yang

et al. 2022

Front. Immunol.

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ObjectiveTo identify potential diagnostic markers of lupus nephritis (LN) based on bioinformatics and machine learning and to explore the significance of immune cell infiltration in this pathology.MethodsSeven LN gene expression datasets were downloaded from the GEO database, and the larger sample size was used as the training group to obtain differential genes (DEGs) between LN and healthy controls, and to perform gene function, disease ontology (DO), and gene set enrichment analyses (GSEA). Two machine learning algorithms, least absolute shrinkage and selection operator (LASSO) and support vector machine-recursive feature elimination (SVM-RFE), were applied to identify candidate biomarkers. The diagnostic value of LN diagnostic gene biomarkers was further evaluated in the area under the ROC curve observed in the validation dataset. CIBERSORT was used to analyze 22 immune cell fractions from LN patients and to analyze their correlation with diagnostic markers.ResultsThirty and twenty-one DEGs were screened in kidney tissue and peripheral blood, respectively. Both of which covered macrophages and interferons. The disease enrichment analysis of DEGs in kidney tissues showed that they were mainly involved in immune and renal diseases, and in peripheral blood it was mainly enriched in cardiovascular system, bone marrow, and oral cavity. The machine learning algorithm combined with external dataset validation revealed that C1QA(AUC = 0.741), C1QB(AUC = 0.758), MX1(AUC = 0.865), RORC(AUC = 0.911), CD177(AUC = 0.855), DEFA4(AUC= 0.843)and HERC5(AUC = 0.880) had high diagnostic value and could be used as diagnostic biomarkers of LN. Compared to controls, pathways such as cell adhesion molecule cam, and systemic lupus erythematosus were activated in kidney tissues; cell cycle, cytoplasmic DNA sensing pathways, NOD-like receptor signaling pathways, proteasome, and RIG-1-like receptors were activated in peripheral blood. Immune cell infiltration analysis showed that diagnostic markers in kidney tissue were associated with T cells CD8 and Dendritic cells resting, and in blood were associated with T cells CD4 memory resting, suggesting that CD4 T cells, CD8 T cells and dendritic cells are closely related to the development and progression of LN.ConclusionC1QA, C1QB, MX1, RORC, CD177, DEFA4 and HERC5 could be used as new candidate molecular markers for LN. It may provide new insights into the diagnosis and molecular treatment of LN in the future.

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Section: Correlation Of Degs With Lnmentioning

confidence: 99%

Predicting diagnostic gene expression profiles associated with immune infiltration in patients with lupus nephritis

Wang

Yang

et al. 2022

Front. Immunol.

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“…Epigenetics (DNA methylation, abnormal expression of mi RNA, histone modifications, etc.) are also involved in the development of several autoimmune diseases, including LN, and abnormal epigenetic modifications directly lead to abnormal proliferation of renal cells, renal fibrosis and inflammation in LN ( Mei et al, 2022 ; Xu et al, 2022 ). Hence, the development of new and effective therapeutic regimens to regulate immune function and control inflammatory response is of great significance for LN treatment and the improvement of disease conditions and prognosis.…”

Section: Introductionmentioning

confidence: 99%

Application of herbal traditional Chinese medicine in the treatment of lupus nephritis

Liu

Zhang²,

Li³

2022

Front. Pharmacol.

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Lupus nephritis (LN) is a secondary renal disease caused by systemic lupus erythematosus affecting the kidneys. It is one of the main causes of end-stage renal disease and a serious risk factor for early mortality and disability of systemic lupus erythematosus patients. Existing LN treatment is mainly based on hormones, cytotoxic drugs, and biological agents. Nevertheless, the prognosis of LN patients remains poor because of frequent recurrence and exacerbation of adverse drug reactions. Hence, LN is still the most important cause of end-stage renal disease. In recent years, traditional Chinese medicine (TCM) has attracted increasing attention because of encouraging evidence that it alleviates LN and the well-described mechanisms underlying renal injury. TCM has therapeutic benefits for treating LN patients. This review article elucidates TCM preparations, TCM monomers, and herbal or natural extraction for LN treatment to provide effective supplementary evidence for promoting the development of TCM treatment for LN and reference for future research and clinical practice.

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Association of Immune-Related Genetic and Epigenetic Alterations with Lupus Nephritis

Cited by 2 publications

References 111 publications

Predicting diagnostic gene expression profiles associated with immune infiltration in patients with lupus nephritis

Predicting diagnostic gene expression profiles associated with immune infiltration in patients with lupus nephritis

Application of herbal traditional Chinese medicine in the treatment of lupus nephritis

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