Objective: We examined the association between schizophrenia genetic susceptibility loci and neuropsychiatric systemic lupus erythematosus (NPSLE) features in childhood-onset SLE (cSLE) participants.
Methods: Study participants from the Lupus Clinic at the Hospital for Sick Children, Toronto, met ≥ 4 of the American College of Rheumatology and/or SLE International Collaborating Clinics SLE classification criteria and were genotyped using the Illumina Multi-Ethnic Global Array or the Global Screening Array. Ungenotyped single-nucleotide polymorphisms (SNPs) were imputed, and ancestry was genetically inferred. We calculated 2 additive schizophrenia-weighted polygenic risk scores (PRS) using (1) genome-wide significant SNPs ( < 5 × 10), and (2) an expanded list of SNPs with significance at < 0.05. We defined 2 outcomes compared to absence of NPSLE features: (1) any NPSLE feature, and (2) subtypes of NPSLE features (psychosis and nonpsychosis NPSLE). We completed logistic and multinomial regressions, first adjusted for inferred ancestry only and then added for variables significantly associated with NPSLE in our cohort ( < 0.05).
Results: We included 513 participants with cSLE. Median age at diagnosis was 13.8 years (IQR 11.2-15.6), 83% were female, and 31% were of European ancestry. An increasing schizophrenia genome-wide association PRS was not associated with NPSLE (OR 1.04, 95% CI 0.87-1.26, = 0.62), nor with the NPSLE subtypes, psychosis (OR 0.97, 95% CI 0.73-1.29, = 0.84) and other nonpsychosis NPSLE (OR 1.08, 95% CI 0.88-1.34, = 0.45), in ancestry-adjusted models. Results were similar for the model including covariates (ancestry, malar rash, oral/nasal ulcers, arthritis, lymphopenia, Coombs-positive hemolytic anemia, lupus anticoagulant, and anticardiolipin antibodies) and for the expanded PRS estimates.
Conclusion: We did not observe an association between known risk loci for schizophrenia and NPSLE in a multiethnic cSLE cohort. This work warrants further validation.
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http://dx.doi.org/10.3899/jrheum.210363 | DOI Listing |
Neurol Neurochir Pol
December 2024
Department of Neurology, Poznan University of Medical Sciences, Poznan, Poland.
Introduction And State Of The Art: Systemic lupus erythematosus (SLE) is an autoimmune disease that affects many organs throughout its course, most frequently the joints, skin and kidneys. Both the central (CNS) and peripheral (PNS) nervous systems are also often affected. T he involvement of the CNS has a negative prognosis in lupus patients.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Departamento de Biología Molecular y Genómica, Instituto de Investigación en Reumatología y del Sistema Músculo Esquelético, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico.
The BALB/c model of pristane-induced lupus (PIL) exhibits cognitive impairment features resembling neuropsychiatric lupus (NPLSE). Osteopontin (OPN) is associated with disease activity in SLE; however, its involvement in NPLSE is not yet entirely determined. Our study aims to elucidate the contribution of full-length OPN (OPN-FL) plasma expression, OPN N-half, and to cognitive impairment in the PIL mice model.
View Article and Find Full Text PDFLupus
January 2025
National Clinical Research Center for Kidney Diseases, Jinling Hospital, Nanjing, China.
Objective: We retrospectively analyzed the clinical features and prognosis of SLE patients with HF.
Methods: Patients with SLE and HF who were hospitalized in Jinling Hospital from January 2013 to May 2021 and followed up for 2 years after discharge were included. Risk factors for death and ESKD were analyzed.
Cureus
September 2024
Department of Radiology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, MYS.
Lupus Sci Med
September 2024
Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
Purpose: This study investigated the topological structural characteristics of systemic lupus erythematosus (SLE) with and without neuropsychiatric symptoms (NPSLE and non-NPSLE), and explore their clinical implications.
Methods: We prospectively recruited 50 patients with SLE (21 non-NPSLE and 29 NPSLE) and 32 age-matched healthy controls (HCs), using MRI diffusion tensor imaging. Individual structural networks were constructed using fibre numbers between brain areas as edge weights.
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