Publications by authors named "Stefania Del Rosso"
Article Synopsis
- The study aimed to assess how well a multiparametric assay can classify patients with different connective tissue diseases (CTDs) and distinguish them from healthy controls based purely on autoantibody levels.
- The research involved testing serum from 908 subjects, resulting in a classification model with an accuracy of about 60.84% and high area under the curve scores, identifying distinct patient clusters based on their autoantibody profiles.
- The findings concluded that this autoantibody assay effectively classifies CTD patients, revealing four distinct clusters, which may aid in understanding and predicting disease manifestations without relying on clinical features.
Background: In patients affected by connective tissue diseases (CTDs), the identification of wide autoantibody profiles may prove useful in early diagnosis, in the evaluation of prognosis (risk stratification), and in predicting response to therapy. The aim of the present study was to evaluate the utility of multiparametric autoantibody analysis performed by a new fully automated particle-based multi-analyte technology (PMAT) digital system in a large multicenter cohort of CTD patients and controls.
Methods: Serum samples from 787 patients with CTD (166 systemic lupus erythematosus; 133 systemic sclerosis; 279 Sjögren's syndrome; 106 idiopathic inflammatory myopathies; 103 undifferentiated CTD), 339 patients with other disorders (disease controls) (118 infectious diseases, 110 organ-specific autoimmune diseases, 111 other rheumatic diseases), and 121 healthy subjects were collected in 13 rheumatologic centers of the FIRMA group.
Combined unsupervised and semi-automated supervised analysis of flow cytometry data reveals cellular fingerprint associated with newly diagnosed pediatric type 1 diabetes.
Front Immunol
November 2022
An unbiased and replicable profiling of type 1 diabetes (T1D)-specific circulating immunome at disease onset has yet to be identified due to experimental and patient selection limitations. Multicolor flow cytometry was performed on whole blood from a pediatric cohort of 107 patients with new-onset T1D, 85 relatives of T1D patients with 0-1 islet autoantibodies (pre-T1D_LR), 58 patients with celiac disease or autoimmune thyroiditis (CD_THY) and 76 healthy controls (HC). Unsupervised clustering of flow cytometry data, validated by a semi-automated gating strategy, confirmed previous findings showing selective increase of naïve CD4 T cells and plasmacytoid DCs, and revealed a decrease in CD56NK cells in T1D.
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- Systemic lupus erythematosus (SLE) can cause various complications, including severe neuropsychiatric issues and increased risk of blood clots, largely influenced by antiphospholipid antibodies (aPL).
- A study involving 131 SLE patients revealed that a significant percentage had anti-phosphatidylserine/prothrombin (aPS/PT) antibodies, which were linked to a higher prevalence of neuropsychiatric manifestations and other complications.
- Although aPS/PT antibodies offer valuable risk assessment insights for SLE patients, their ability to predict long-term damage progression remains limited.
Objective: Antibodies that recognize the phosphatidylserine/prothrombin complex (antiphosphatidylserine/prothrombin antibodies; aPS/PT) might reveal enhanced thrombotic risk in patients with systemic lupus erythematosus. Little is known about their association with pregnancy complications in the antiphospholipid syndrome (APS).
Methods: We enrolled 55 patients with APS who were seeking pregnancy in 2 Italian hospitals.