Monitoring disease activity in antineutrophil antibody-associated vasculitis

Florian G Scurt1, Verena Hirschfeld2, Leon Schubert3

  • 1University Clinic for Nephrology and Hypertension, Diabetology and Endocrinology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.

Insights

Antineutrophil cytoplasm antibody (ANCA)-associated vasculitis (AAV) management remains challenging due to unpredictable disease courses. This review highlights promising biomarkers for improved monitoring and treatment of AAV.

Area of Science:

  • Rheumatology
  • Immunology
  • Nephrology

Background:

  • Antineutrophil cytoplasm antibody (ANCA)-associated vasculitis (AAV) is a group of multisystem disorders characterized by relapsing and remitting phases, often with subclinical progression.
  • AAV encompasses microscopic polyangiitis (MPA), granulomatosis with polyangiitis (GPA), eosinophilic granulomatosis with polyangiitis (EGPA), and renal-limited vasculitis (RLV).
  • While ANCA are characteristic, their absence does not exclude diagnosis, complicating disease identification.

Purpose of the Study:

  • To review current understanding of AAV pathogenesis and pathophysiology.
  • To identify and discuss promising biomarkers for AAV monitoring and treatment adaptation.
  • To address the lack of established biomarker-based algorithms in AAV management.

Main Methods:

  • Comprehensive literature review of recent studies on AAV biomarkers.
  • Analysis of biomarkers related to disease activity, relapse, and treatment response.
  • Synthesis of findings to evaluate the potential clinical utility of identified biomarkers.

Main Results:

  • Several biomarkers show potential for monitoring AAV activity and predicting relapses.
  • Biomarkers may aid in adapting treatment strategies to individual patient disease courses.
  • Current diagnostic and monitoring approaches often rely on a trial-and-error basis due to limited reliable biomarkers.

Conclusions:

  • Reliable biomarker-based monitoring and treatment algorithms for AAV are still lacking.
  • Further research is needed to validate promising biomarkers for clinical application in AAV.
  • Improved biomarker utilization could lead to more personalized and effective AAV management.

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