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Macrophage Infiltration Correlated with IFI16, EGR1 and MX1 Expression in Renal Tubular Epithelial Cells Within Lupus Nephritis-Associated Tubulointerstitial Injury via Bioinformatics Analysis.
J Inflamm Res
December 2024
Department of Nephrology, Blood Purification Research Center, the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China.
Objective: A comprehensive bioinformatics analysis was conducted to investigate potential new diagnostic biomarkers and immune infiltration characteristics associated with tubulointerstitial injury in lupus nephritis (LN), and to examine possible correlations between key genes and infiltrating immune cells.
Methods: The GSE32591, GSE113342, and GSE200306 datasets were downloaded from the Gene Expression Omnibus database and differentially expressed genes (DEGs) were identified in the pooled dataset. Support vector machine-recursive feature elimination analysis and the least absolute shrinkage and selection operator regression model were used to screen for possible markers, and the compositional patterns of the 22 types of immune cell fractions in LN were determined using CIBERSORT.
Hyperlipidemia in Saudi Arabian Patients With Systemic Lupus Erythematosus.
Cureus
November 2024
Rheumatology, King Saud Medical City, Riyadh, SAU.
Background Systemic lupus erythematosus (SLE) is a chronic autoimmune disease associated with increased cardiovascular risk, partly due to dyslipidemia. This study aimed to evaluate the lipid profiles of Saudi Arabian patients with SLE and examine the impact of hydroxychloroquine (HCQ) and steroid use on these profiles, with a particular focus on patients with lupus nephritis. Methods A retrospective observational study was conducted at King Saud Medical City, Riyadh, Saudi Arabia, including SLE patients treated at the hospital's rheumatology clinic between July 2023 and December 2023.
View Article and Find Full Text PDFMulti-stain deep learning prediction model of treatment response in lupus nephritis based on renal histopathology.
Kidney Int
December 2024
Department of Pediatrics, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China. Electronic address:
The response of the kidney after induction treatment is one of the determinants of prognosis in lupus nephritis, but effective predictive tools are lacking. Here, we sought to apply deep learning approaches on kidney biopsies for treatment response prediction in lupus nephritis. Patients who received cyclophosphamide or mycophenolate mofetil as induction treatment were included and the primary outcome was 12-month treatment response, complete response defined as 24h urinary protein under 0.
View Article and Find Full Text PDFSystemic lupus erythematosus-specific CD14IFITM3 monocyte: Implications for disease activity and progression.
Int Immunopharmacol
December 2024
Department of Rheumatology and Immunology, Weifang People's Hospital, Shandong Second Medical University, Weifang 261000, Shandong, China; Medical Research Center, Weifang People's Hospital, Shandong Second Medical University, Weifang 261000, Shandong, China. Electronic address:
Interferon-inducible transmembrane (IFITM) family members (IFITM1, IFITM2, IFITM3) are extensively expressed in T cells and are involved in adaptive immunity. However, little is known about the expression of IFITM1, IFITM2 and IFITM3 in monocytes and their roles in systemic lupus erythematosus (SLE). Our study has shown that the expression of IFITM1, IFITM2, and IFITM3 in peripheral blood mononuclear cells (PBMCs) of SLE patients was dysregulated, and the expression of IFITM3 in SLE was significantly higher than that of healthy controls.
View Article and Find Full Text PDFExploring potential multiple molecular biomarkers that predict treatment response in patients with lupus nephritis.
Sci Rep
December 2024
Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, 222-1 Wangsimni-ro, Seongdong-Gu, Seoul, 04763, Korea.
Limited knowledge exists regarding biomarkers that predict treatment response in Lupus nephritis (LN). We aimed to identify potential molecular biomarkers to predict treatment response in patients with LN. We enrolled 66 patients with active LN who underwent renal biopsy upon enrollment.
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