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The expression changes of lncRNA in patients with systemic lupus erythematosus and its correlation with regulatory T cells / 中华风湿病学杂志
Chinese Journal of Rheumatology ; (12): 583-589,C9-1,C9-2, 2022.
Artículo en Chino | WPRIM | ID: wpr-956725
ABSTRACT

Objective:

To explore the link between the differentially expressed long non-coding RNAs (lncRNAs) and the number of regulatory T cells (Tregs) by detecting the lncRNAs expression profiles in patients with systemic lupus erythematosus (SLE), then analyze the correlation between Tregs and lncRNAs and the clinical features of SLE patients. We also predict the mechanism by which lncRNAs regulate the differentiation and development of Tregs, and provid new approach for the treatment of SLE.

Methods:

Peripheral blood of 9 active SLE patients was collected and mononuclear cells (PBMCs) were extracted. The lncRNAs expression profiles of PBMCs was analyzed by whole transcriptome sequencing. Nine healthy people served as controls to screen the differentially expressed lncRNAs, and to analyze the correlation between lncRNAs and Tregs number. Pearson test was used to analyze the correlation between lncRNA and the number of Tregs, and the correlation between Treg-associated lncRNAs and systemic lupus erythematosus disease activity index(SLEDAI) score, erythrocyte sedimentation rate (ESR), C3, C4 in SLE patients. The targeted genes of Treg asso-ciated lncRNAs were predicted with miRcode and Targetscan databases and co-expression 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 low expressed lncRNAs ( P<0.05). The expression of ANKRD44-AS1 ( r=0.74, P=0.022), LINC00200 ( r=0.70, P=0.037), AP001363.2 ( r=0.78, P=0.014) and LINC02824 (r=0.79, P=0.011) were positively correlated with the number of Tregs, and the expression of AP000640.1 ( r=-0.72, P=0.028), AC124248.1 ( r=-0.77, P=0.016), LINC00482 ( r=-0.83, P=0.005) and MIR503HG ( r=-0.96, P<0.001) were negatively correlated with the number of Tregs. Among these eight Tregs associated lncRNAs, the expression of LINC00482 ( r=-0.73, P<0.001) and MIR503HG ( r=-0.76, P<0.001) were negatively correlated with C3. LINC00200, ANKRD44-AS1 and AP000640.1 related to Tregs regulated the expression of STAT5, PLD1, HOPX and RUNX3 through competitively binding of miRNA or transregulatory mechanism, thereby regulating the differentiation and development of Tregs.

Conclusion:

The lncRNAs expression profiles are changed in SLE patients, the differentially expressed lncRNAs are associated with abnormal number and function of Tregs in SLE patients, and Treg associated lncRNAs are associated with SLE disease activity, which may affect the expression of STAT5, PLD1, HOPX, RUNX3 and regulate Tregs function and participate in the pathogenesis and progression of SLE by competitively binding to miRNAs or trans-regulatory mechanism.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Chinese Journal of Rheumatology Año: 2022 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Chinese Journal of Rheumatology Año: 2022 Tipo del documento: Artículo