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Related Experiment Video

Updated: Jul 4, 2025

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
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Perspective to precision medicine in scleroderma.

Kazuhiro Komura1,2, Koichi Yanaba3, Jean-David Bouaziz4

  • 1Department of Dermatology, Kanazawa Red Cross Hospital, Japanese Red Cross Society, Kanazawa, Japan.

Frontiers in Immunology
|February 2, 2024
PubMed
Summary
This summary is machine-generated.

Systemic sclerosis (SSc) research faces challenges due to disease rarity and heterogeneity. Personalized medicine, guided by in vitro drug response testing on patient fibroblasts, offers a path to optimized treatment strategies for SSc.

Keywords:
biomarkersfibrosisprecision medicinesystemic sclerosistherapy

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Area of Science:

  • Rheumatology
  • Immunology
  • Genetics

Background:

  • Systemic sclerosis (SSc) is a rare, heterogeneous autoimmune disease.
  • Identifying environmental and genetic risk factors is challenging due to small patient populations.
  • Disease complexity necessitates personalized or precision medicine approaches.

Purpose of the Study:

  • To establish a foundation for improved therapeutic strategies in SSc.
  • To enhance clinical trial design for targeted therapies.
  • To explore in vitro drug response testing for personalized treatment selection.

Main Methods:

  • Classification of SSc based on affected areas and disease markers (e.g., autoantibodies).
  • Preclinical in vitro drug response testing using patient-derived fibroblasts.
  • Analysis of fibroblast phenotype in culture.

Main Results:

  • Scleroderma dermal fibroblasts exhibit a persistent hyper-productive phenotype in vitro.
  • In vitro drug response testing can identify precise disease markers.
  • This approach facilitates therapeutic selection for individual patients.

Conclusions:

  • Personalized medicine is crucial for managing SSc heterogeneity.
  • In vitro drug response assays offer a precise method for guiding SSc treatment.
  • An accumulating approach based on disease markers optimizes patient care and quality of life.