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Biomedical subjects

Mandana Nikpour

Publications and source records attributed to Mandana Nikpour.

3 recordsLinked to original sources

Longitudinal comparison of treat-to-target states and clinical outcomes in patients with late-onset versus early-onset systemic lupus erythematosus.

OBJECTIVE: We compared demographic and clinical characteristics between patients with late-onset (LO) and early-onset (EO) systemic lupus erythematosus (SLE) and examined their longitudinal associations with treatment targets and long-term outcomes, irreversible organ damage accrual and health-related quality of life (HRQoL). METHODS: We analyzed prospectively collected data from patients enrolled in the Asia Pacific Lupus Collaboration cohort. Patients diagnosed with SLE at age >50 years were classified as LO-SLE and compared with those diagnosed at age ≤50 years (EO-SLE). Longitudinal associations with treatment targets (LLDAS and DORIS remission), organ damage accrual (SLICC/ACR Damage Index), and HRQoL (SF36v2 physical and mental component summary (PCS and MCS) scores) were examined using multivariable multilevel logistic, recurrent-event survival, and linear mixed-effects models, respectively. Disease activity, flares, medication exposure, and other clinical characteristics were also compared between groups. RESULTS: Among 3,917 patients studied, 346 (8.8%) had LO-SLE. Compared with EO-SLE, patients with LO-SLE had lower disease activity, lower glucocorticoid and immunosuppressant exposure, and higher attainment of treatment targets; LO-SLE was associated with higher odds of attaining LLDAS (OR: 2.33 (1.66, 3.28)) and DORIS remission (OR: 2.22 (1.45, 3.38)). However, they were at a greater risk of damage accrual (HR:1.82 (1.50, 2.21)) and lower PCS scores, meaning poorer physical health (regression coefficient (RC) = -3.63 (-4.58, -2.68)) but not MCS (RC= 0.68 (-.50, 1.86)). CONCLUSION: Despite higher attainment of treatment targets, patients with LO-SLE experienced greater damage accrual and poorer physical health, suggesting that disease activity targets alone may not fully capture outcome risk in LO-SLE.

Journal Article

Novel HLA class I and II insights into the pathogenesis of systemic sclerosis-associated interstitial lung disease.

OBJECTIVES: Systemic sclerosis-associated interstitial lung disease (SSc-ILD) is the leading cause of mortality in systemic sclerosis (SSc), yet its genetic architecture remains incompletely understood. Therefore, given the key role of the major histocompatibility complex (MHC) in SSc, we aimed to perform a comprehensive MHC-wide association study in the largest SSc-ILD cohort to date. METHODS: We analysed 2412 patients with SSc-ILD⁺, 3550 patients with SSc-ILD⁻, and 15,076 controls of European ancestry from 10 international cohorts. After quality control, the MHC region was imputed, and inverse variance weighted meta-analysis was performed. Subsequently, conditional stepwise analyses, adjustment for antitopoisomerase autoantibody (ATA) status, and functional annotation of significant single-nucleotide polymorphisms were performed. Finally, we constructed a composite score combining genetic, clinical, and demographic variables to predict SSc-ILD. RESULTS: After conditional analysis, we detected 12 significant associations within class I and class II human leukocyte antigen (HLA) genes. ATA adjustment reduced the significance of class II HLA variants, whereas class I HLA variants remained unaffected. Finally, the built composite score had an area under the curve of 0.754, significantly outperforming the models including any of the variables alone. CONCLUSIONS: In this study, we identify genetic mechanisms underlying SSc-ILD that support the potential implication of CD8+ T cells and ATAs in its pathogenesis. Moreover, we also demonstrate the enhanced efficacy of integrating genetic information into predictive models to detect patients at high risk of SSc-ILD. These findings provide new insights into disease pathogenesis and suggest potential biomarkers and therapeutic targets for improved patient management.

Humans

Distinct Effects of Complement C4A and C4B Copy Numbers in Systemic Sclerosis Serological and Clinical Subtypes.

OBJECTIVE: Complement component 4 (C4), encoded by C4A and C4B within the major histocompatibility complex (MHC) on chromosome 6, regulates the immune response and clears immune complexes. The variable copy number (CN) of C4 genes and retroviral human endogenous retrovirus K (HERV-K) element influence its function. Given the relationship of C4 CN with systemic sclerosis (SSc) risk, we assessed associations with SSc clinical and serologic subtypes. METHODS: We compared imputed C4 CNs across SSc subgroups (4,049 anticentromere positive [ACA+]; 2,200 anti-topoisomerase I [ATA+]; 577 anti-RNA polymerase [ARA+]; 1,078 triple-negative [TN] patients; 6,295 limited cutaneous SSc [lcSSc]; and 2,946 diffuse cutaneous SSc [dcSSc]) and 17,991 controls. We evaluated associations with SSc subtypes, identifying C4-independent HLA alleles. RESULTS: Lower C4 CN and higher HERV-K CN were associated with increased risk in all SSc subgroups. ATA+ patients showed the strongest association, particularly with C4A (odds ratio = 1.88), and differences in C4A CN association were more pronounced between autoantibody subgroups (ATA+ vs ACA+, P = 4 × 10-11) than between clinical subgroups (dcSSc vs lcSSc, P = 1 × 10-4). In ACA+ patients, only low C4B CN showed a significant association to SSc risk (P = 1.23 × 10-5). We also observed sex-biased associations: dcSSc, ATA+, and ARA+ male patients showed stronger effects for C4A and ACA+ and lcSSc female patients for C4B. Finally, our results suggest that the HLA alleles associated with SSc subgroups are independent of C4 CN. CONCLUSION: This study highlights distinct genetic contributions of C4A and C4B in SSc subtypes susceptibility. Our findings suggest that lower C4 CNs, particularly C4A, increase the risk of the severe dcSSc subtype, potentially through a mechanism involving immune complex clearance.

Humans