Complement and kidney diseases: unlocking the opportunity of targeted treatments for glomerular diseases, including

Joshua Wade1, David C Thomas1, Matthew C Pickering2

  • 1Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK.

Insights

Multiple new complement inhibitors offer hope for kidney diseases like IgA nephropathy. However, careful patient selection is crucial due to complex complement activity and potential side effects, requiring validated biomarkers for targeted therapy.

Area of Science:

  • Nephrology
  • Immunology
  • Pharmacology

Background:

  • Therapeutic complement inhibitors targeting various pathway components are nearing availability for kidney diseases.
  • Complement plays a complex role in kidney diseases, exemplified by IgA nephropathy.
  • Potential adverse effects of complement inhibition necessitate precise patient stratification.

Purpose of the Study:

  • To highlight the need for robust patient selection and stratification for novel complement inhibitors in kidney diseases.
  • To emphasize the requirement for validated biomarkers to guide targeted complement inhibition therapy.
  • To address the challenges in maximizing the therapeutic potential of complement inhibitors.

Main Methods:

  • Review of current understanding of complement pathways in kidney diseases.
  • Analysis of the therapeutic landscape for complement inhibitors.
  • Identification of gaps in patient stratification and biomarker development.

Main Results:

  • Multiple complement inhibitors targeting different pathways are imminent.
  • IgA nephropathy serves as a model for complex complement involvement.
  • Current biomarkers are insufficient for clinical stratification to targeted therapies.

Conclusions:

  • Maximizing the benefit of complement inhibitors requires careful patient selection.
  • Validated biomarkers are essential for guiding targeted complement inhibition in kidney diseases.
  • Further research is needed to develop and validate biomarkers for clinical use.

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