Immune checkpoint inhibitors and diabetes: Mechanisms and predictors

Natalie Youssef1, Mohamed Noureldein1, Georges Daoud2

  • 1Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine and Medical Centre, American University of Beirut, Bliss Street, 11-0236, Riad El-Solh 1107-2020, Lebanon; AUB Diabetes, American University of Beirut, Beirut, Lebanon.

Diabetes & Metabolism
|October 3, 2020
PubMed

Insights

Immune checkpoint inhibitors like PD-1/PD-L1 therapies can cause diabetes. This review explores the mechanisms, genetic links, and risk factors for this autoimmune side effect, aiming to mitigate it without compromising cancer treatment.

Area of Science:

  • Immunology
  • Oncology
  • Endocrinology

Background:

  • Immune checkpoint inhibitors (ICIs) revolutionized cancer immunotherapy.
  • Adverse effects, including autoimmune diseases like diabetes mellitus, are associated with ICIs.
  • Programmed cell death 1 (PD-1) and Programmed death ligand-1 (PD-L1) inhibitors are key therapeutic agents.

Purpose of the Study:

  • To elucidate the mechanisms by which PD-1/PD-L1 inhibitors induce diabetes.
  • To review the role of PD-1/PD-L1 in autoimmunity and diabetes pathogenesis.
  • To identify strategies for managing or preventing ICI-induced diabetes.

Main Methods:

  • Review of existing literature on PD-1/PD-L1 inhibitors and diabetes.
  • Analysis of case reports and mechanistic studies.
  • Examination of mouse models and genetic studies related to PD-1/PD-L1 and diabetes.
  • Synthesis of data on patient risk stratification for autoimmune adverse events.

Main Results:

  • PD-1/PD-L1 inhibitors can disrupt immune homeostasis, leading to autoimmune diabetes.
  • Specific genetic variations in PD-1/PD-L1 may influence diabetes risk.
  • Mouse models provide insights into the immunological pathways involved.
  • Studies are emerging to identify at-risk patient populations.

Conclusions:

  • Understanding the mechanisms of ICI-induced diabetes is crucial for patient safety.
  • Further research is needed to develop predictive biomarkers and targeted interventions.
  • Balancing antitumor efficacy with the management of autoimmune side effects remains a key challenge.

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