Systemic Sclerosis


GENOMIC ANALYSES

  • Regulator combinations identify systemic sclerosis patients with more severe disease
  • Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarization as a hallmark of clinical severity and improvement
  • A Machine Learning Classifier for Assigning Patients with Systemic Sclerosis to Intrinsic Molecular Subsets
  • Global skin gene expression profile of early diffuse cutaneous systemic sclerosis shows a prominent innate and adaptive inflammatory profile

    • CLINICAL TRIALS

  • Clinical and molecular findings after autologous stem cell transplantation or cyclophosphamide for scleroderma: handling missing longitudinal data in a randomized clinical trial
  • Machine Learning Predicts Stem Cell Transplant Response in Severe Scleroderma
  • Abatacept in Early Diffuse Cutaneous Systemic Sclerosis - Results of a Phase 2 Investigator-Initiated, Multicenter, Double-Blind Randomized Placebo-Controlled Trial
  • Belimumab for the Treatment of Early Diffuse Systemic Sclerosis: Results of a Randomized, Double-Blind, Placebo-Controlled Pilot Trial
  • Mycophenolate Mofetil Treatment of Systemic Sclerosis Reduces Myeloid Cell Numbers and Attenuates the Inflammatory Gene Signature in Skin

    • MICROBIOME

  • Microbiome dysbiosis is associated with disease duration and increased inflammatory gene expression in systemic sclerosis skin