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Mariana Correia Marques

Publications and source records attributed to Mariana Correia Marques.

2 recordsLinked to original sources

Type I Interferon Signature is Associated With Lung Disease, Drug-Associated Immune Reactions, and Genetic Variation in Interferon-Linked Pathways in Still Disease.

OBJECTIVE: To evaluate the relationship across type I interferon (IFN-I)-stimulated gene (ISG) expression, Still disease, and the development of lung disease (LD) and drug-associated immune reactions (DAIR) to interleukin-1 (IL-1) and/or IL-6 inhibitors. METHODS: Whole blood ISG expression was quantified by NanoString array. ISG-28 scores were calculated in consecutive patients with Still or Still-like disease. Exome sequencing with family-based variant prioritization identified candidate genes harboring rare candidate causative variants. Lists of candidate genes were subjected to functional enrichment analysis. RESULTS: Among 57 patients (32 children, 25 adults), 16 had elevated ISG-28 scores. This group exhibited higher prevalence of LD (0.44 vs 0.1, P = 0.007) and DAIR (0.63 vs 0.17, P = 0.003) and lower IL-6 inhibitor use (0 vs 0.25, P = 0.048) compared to others. No significant differences were found in the rates of macrophage activation syndrome, active disease, elevated IL-18, or current IL-1 inhibition. The combination of HLA-DRB1*15 with high ISG-28 scores is associated with LD and DAIR with high specificity, whereas absence of both biomarkers had high negative predictive value. Candidate genes from high ISG-28 individuals were enriched in IFN-related pathways, including autophagy, IFN-I production, toll-like receptor signaling, macrophage activation, cytoskeletal organization, and responses to stress. CONCLUSION: High IFN-I expression correlates with LD and DAIR in Still disease, linked to rare genetic variation in immune pathways. Combining high ISG-28 with HLA-DRB1*15 significantly improves post hoc stratification of patients for these complications. If prospectively validated, these findings may guide molecular risk assessment and targeted therapies, including IFN-I directed treatments in Still disease with IFN-I signature.

Humans↗

Clinical Features and Outcome Measures Across Still Disease (Systemic Juvenile Idiopathic Arthritis and Adult-Onset Still Disease) Cohorts Worldwide: A Systematic Literature Review.

OBJECTIVE: Multinational research is essential to improve recognition and management of systemic juvenile idiopathic arthritis (sJIA). Current cohorts vary in the clinical variables and outcome measures collected. Adult-onset Still disease (AOSD) and sJIA are widely considered to comprise a single disease spectrum; however, classification criteria and clinical tools differ between groups. This systematic literature review aimed to identify clinical features and outcome measures collected across sJIA and AOSD cohorts worldwide to guide the development of a minimal dataset for Still disease. METHODS: A literature search was conducted from 2000 to 2024 using Ovid MEDLINE, Embase, and Wiley Cochrane Library (Trials). Included articles were in English and described sJIA or AOSD cohorts of ≥ 20 patients, reporting patient characteristics, clinical and laboratory features, and outcome measures. RESULTS: A total of 240 articles were included (95 sJIA, 134 AOSD, 11 mixed), from 37 countries, describing 23,136 patients. International League of Associations for Rheumatology classification was used in 77.9% of sJIA studies, whereas 98.5% of AOSD studies used Yamaguchi criteria. There was no clear consensus on the definition of macrophage activation syndrome. Race and ethnicity were only reported in 11.7% of articles. Cohorts evaluated aligned on the most commonly collected laboratory items for both AOSD and sJIA, with some agreement among clinical features, whereas disease outcome measures used to evaluate and follow disease trajectory were variable. CONCLUSION: Data reporting across sJIA and AOSD cohorts for clinical characteristics and outcome measures is widely heterogeneous. Consensus on the identification of a standardized minimal dataset for Still disease cohorts is needed to foster future collaboration and improve patient outcomes.

Humans↗