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http://dx.doi.org/10.1007/s11739-024-03540-8 | DOI Listing |
NPJ Digit Med
September 2025
Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
Systemic sclerosis (SSc) is a chronic autoimmune disease with multi-organ involvement. Historically, SSc classification has focused on the type of skin involvement (limited versus diffuse); however, a growing evidence of organ-specific variability suggests the presence of more than two distinct subtypes. We propose a semi-supervised generative deep learning framework leveraging expert-driven definitions of organ-specific involvement and severity.
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July 2025
Department of Rheumatology and Inflammation Research, Sahlgrenska Academy at University of Gothenburg and Department of Rheumatology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Objective: To investigate whether soluble immune checkpoint molecules in blood are associated with the treatment response to disease-modifying antirheumatic drugs in early rheumatoid arthritis (eRA).
Methods: This study included 328 Swedish treatment-naïve patients with eRA from the Nordic Rheumatic Diseases Strategy Trials and Registries (NORD-STAR) study. Patients were randomized into four treatment groups: methotrexate (MTX) combined with CTLA-4Ig (n = 90), anti-tumor necrosis factor (n = 83), anti-interleukin-6 receptor (n = 76), or prednisolone (n = 79).
PLoS One
August 2025
Department of Rheumatology and Inflammation Research, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
Objective: To determine whether baseline CD4+ T helper (Th) cell subset proportions in blood may serve as predictive biomarkers for achieving remission 48 weeks after initiating CTLA-4Ig, anti-tumor necrosis factor (TNF), or anti-interleukin 6 receptor (IL6R) treatment in patients with early rheumatoid arthritis (eRA).
Methods: This study included 60 untreated eRA patients from the larger randomized treatment trial NORD-STAR. They were treated with methotrexate (MTX) combined with either CTLA-4Ig (n = 17), anti-TNF (n = 22), or anti-IL6R (n = 21).
J Funct Biomater
July 2025
Scienze e Tecnologie Chirurgiche, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy.
Atomic force microscopy (AFM)-based nanoindentation enables investigation of the mechanical response of biological materials at a subcellular scale. However, quantitative estimates of mechanical parameters such as the elastic modulus (E) remain unreliable because the influence of sample roughness on E measurements at the nanoscale is still poorly understood. This study re-examines the interpretation of roughness from a more rigorous perspective and validates an experimental methodology to extract roughness at each nanoindentation site-i.
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