Study on the expression changes of lncRNA in patients with systemic lupus erythematosus and its correlation with Treg cells

Clin Rheumatol. 2024 Mar;43(3):993-1002. doi: 10.1007/s10067-023-06844-w. Epub 2024 Jan 23.

Abstract

Objectives: We initially explored the link between the differentially expressed long non-coding RNAs (lncRNAs) and the number of regulatory T (Treg) cells by detecting the lncRNA expression profiles in patients with systemic lupus erythematosus (SLE), then analyzed the correlation between Treg-related lncRNAs and the clinical features of SLE patients, predicting the mechanism by which lncRNAs regulate the differentiation and development of Treg cells, and provided new ideas for the treatment of SLE.

Methods: Peripheral blood of 9 active SLE patients were collected and mononuclear cells (PBMCs) were extracted; the lncRNA expression profiles of PBMCs were analyzed by whole transcriptome sequencing. Nine healthy people were used as controls to screen the differentially expressed lncRNAs, to analyze the correlation between lncRNAs and Treg cell number. Pearson test was used to analyze the correlation between lncRNAs and the number of Treg cell, and the correlation between Treg-associated lncRNA and SLEDAI score, ESR, C3, and C4 in SLE patients. The targeted genes of Treg-associated lncRNAs were predicted with miRcode and Targetscan databases and coexpression network.

Results: There were 240 differentially expressed lncRNAs in SLE patients compared with healthy controls, including 134 highly expressed lncRNAs (p < 0.05) and 106 lowly expressed lncRNAs (p < 0.05). The expression of ANKRD44-AS1 (r = 0.7417, p = 0.0222), LINC00200 (r = 0.6960, p = 0.0373), AP001363.2 (r = 0.7766, p = 0.0138), and LINC02824 (r = 0.7893, p = 0.0114) were positively correlated with the number of Treg cell, and the expression of AP000640.1 (r = - 0.7225, p = 0.0279), AC124248.1 (r = - 0.7653, p = 0.0163), LINC00482 (r = - 0.8317, p = 0.0054), and MIR503HG (r = - 0.7617, p < 0.05) were negatively correlated with the number of Treg cell. Among these Treg-associated lncRNAs, the expression of LINC00482 (r = - 0.7348, p < 0.05) and MIR503 HG (r = - 0.7617, p < 0.05) were negatively correlated with C3. LINC00200, ANKRD44 - AS1, and AP000640.1 related to Treg cells regulate the expression of signal transducer and activator of transcription 5 (STAT5), phospholipase D1 (PLD1), homeodomain-only protein X (HOPX), and runt-related transcription factor 3 (RUNX3) through competitive binding of miRNA or trans-regulatory mechanism, thereby regulating the differentiation and development of Treg cell.

Conclusions: The lncRNA expression profiles were changed in SLE patients, the differentially expressed lncRNAs were associated with abnormal number and function of Treg cells in SLE, and Treg-associated lncRNAs were associated with SLE-disease activity, which may affect the expression of STAT5, PLD1, HOPX, RUNX3 and regulate Treg cell function and participate in the pathogenesis and progression of SLE by competitively binding to miRNAs or trans-regulatory mechanism. Key points • Systemic lupus erythematosus (SLE) is an autoimmune disease involving multiple organs and systems. lncRNAs may affect Treg cells function by regulating genes expression, which may be an important pathogenesis of SLE. • This study, taking SLE as an example, preliminarily analyzed the correlation between lncRNA and Treg cells in SLE patients, analyzed the correlation between Treg-related lncRNA and the clinical characteristics of SLE, and speculated that lncRNA could regulate the differentiation and development of Treg cells through competitive combination with miRNA or trans-regulatory mechanisms. • It is possible to target epigenetic therapy for SLE.

Keywords: Lupus erythematosus; RNA; T-Lymphocytes; long noncoding; regulatory; systemic.

MeSH terms

  • Humans
  • Lupus Erythematosus, Systemic*
  • MicroRNAs* / genetics
  • RNA, Long Noncoding* / genetics
  • RNA, Long Noncoding* / metabolism
  • STAT5 Transcription Factor / metabolism
  • T-Lymphocytes, Regulatory

Substances

  • RNA, Long Noncoding
  • STAT5 Transcription Factor
  • MicroRNAs