Autoantibodies and Clinical Correlations in Polish Systemic Sclerosis Patients: A Cross-Sectional Study.
Paweł ŻebrykPiotr PrzymuszalaJan Krzysztof NowakTomasz PiorunekTatiana Mularek-KubzdelaMariusz PuszczewiczPublished in: Journal of clinical medicine (2023)
We evaluated the prevalence of systemic sclerosis (SSc)-related autoantibodies and their clinical significance and compared the sensitivity of two line immunoblot assays on a prospective study group of 96 Polish SSc patients (ACR-EULAR 2013 criteria) whose sera were assessed by indirect immunofluorescence (HEp-2 and monkey liver) and line immunoblot assays: ANA Profile 3 and Systemic Sclerosis Profile by EUROIMMUN (Lübeck, Germany). Organ involvement was evaluated according to the EUSTAR Minimal Essential Data Set. The following autoantibodies' prevalence was found: Scl-70 (36%), Ro-52 (28%), CENP-B (22%), CENP-A (20%), PM-Scl-75 (20%), PM-Scl-100 (14%), fibrillarin (7%), Th/To (7%), RNA polymerase III 11 kDa (5%), RNA polymerase III 155 kDa (3%), PDGFR (3%), NOR-90 (2%), and Ku (1%). Significant associations between the autoantibodies' presence and organ involvement were found: ATA (dcSSc > lcSSc, less prevalent muscle weakness), Ro-52 (gangrene, DLCO < 60), CENP-B and A (lcSSc > dcSSc, normal CK), CENP-B (rarer digital ulcers and joint contractures), PM-Scl-100 and 75 (PM/SSc overlap, CK increase, muscle weakness, muscle atrophy), PM-Scl-100 (dcSSc unlikely), PM-Scl-75 (lung fibrosis), fibrillarin (muscle atrophy, proteinuria, conduction blocks, palpitations), Th/To (proteinuria, arthritis, muscle weakness, and rarer esophageal symptoms), RNA Polymerase III 11 kDa (arterial hypertension, renal crisis), RNA polymerase III 155 kDa (renal crisis), and PDGFR (dcSSc, tendon friction rubs). Additionally, the Systemic Sclerosis Profile was significantly more sensitive in detecting SSc-related autoantibodies than ANA Profile 3 ( p = 0.002). In conclusion, individual autoantibodies associated with specific characteristics of SSc.
Keyphrases
- systemic sclerosis
- interstitial lung disease
- particulate matter
- air pollution
- systemic lupus erythematosus
- end stage renal disease
- skeletal muscle
- polycyclic aromatic hydrocarbons
- heavy metals
- chronic kidney disease
- newly diagnosed
- ejection fraction
- heat shock protein
- public health
- water soluble
- high throughput
- prognostic factors
- rheumatoid arthritis
- physical activity
- depressive symptoms
- artificial intelligence
- machine learning
- big data
- risk assessment
- data analysis
- sleep quality
- anterior cruciate ligament reconstruction