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Absolute Quantification of Plasma MicroRNA Levels in Cynomolgus Monkeys, Using Quantitative Real-time Reverse Transcription PCR
Published on: February 12, 2018
Myocarditis in Cynomolgus Monkeys Following Treatment with Immune Checkpoint Inhibitors.
Changhua Ji1, Marc D Roy2, Jonathan Golas3
1Immunotoxicology, DSRD, Pfizer, La Jolla, California. changhua.ji2@pfizer.com.
Researchers developed a cynomolgus monkey model for immune checkpoint inhibitor-induced myocarditis. This model exhibits multiple organ toxicities, aiding the study of immune mechanisms and biomarker discovery for adverse events.
Area of Science:
- Immunology
- Toxicology
- Cardiology
Background:
- Immune checkpoint inhibitors (ICIs) like PD1, PDL1, and CTLA4 can cause immune-related adverse events (irAEs), including myocarditis.
- The mechanisms and early diagnostic markers for ICI-induced myocarditis are not well understood.
- A lack of suitable animal models hinders research into ICI-associated myocarditis.
Purpose of the Study:
- To develop a preclinical model of ICI-induced myocarditis using cynomolgus monkeys.
- To investigate the pathogenesis and potential biomarkers of ICI-induced myocarditis.
Main Methods:
- Cynomolgus monkeys received intravenous infusions of nivolumab plus ipilimumab or a vehicle control.
- Monkeys were monitored for toxicities and euthanized on day 29 for comprehensive analysis.
- Histopathological, immunological, and transcriptomic analyses were performed on multiple organs, including the heart.
Main Results:
- Monkeys treated with ICIs developed multi-organ toxicities, including myocarditis characterized by T-cell infiltration in the myocardium.
- Increased proliferation and activation of T cells were observed in blood, spleen, and lymph nodes.
- Cardiac biomarkers (troponin-I, NT-pro-BNP) were elevated, and cardiac lesions resembled human ICI myocarditis.
Conclusions:
- A cynomolgus monkey model successfully replicates ICI-induced myocarditis and other organ toxicities.
- This model offers a valuable platform for understanding ICI-associated immune mechanisms.
- The model can facilitate the identification of diagnostic biomarkers for ICI-induced adverse events.
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