Development of a physiologically based pharmacokinetic model to predict irinotecan disposition during inflammation. (1st June 2022)

• Record Type: Journal Article
• Authors: Tao, Gabriel; Chityala, Pavan Kumar; Li, Li; Lin, Zhoumeng; Ghose, Romi
• Is Part Of: Chemico-biological interactions. Volume 360(2022)
• Publication Date: 2022-06-01
• Subjects: Irinotecan -- Physiologically based pharmacokinetics (PBPK) -- Drug metabolism -- Drug safety -- Inflammation; Biochemistry -- Periodicals; Toxicological chemistry -- Periodicals; Biochemistry -- Periodicals; Biologie moléculaire -- Périodiques; Biochimie -- Périodiques; Toxicologie biochimique -- Périodiques; 572
• DOI: 10.1016/j.cbi.2022.109946
• Languages: English
• ISSNs: 0009-2797

Abstract

Abstract: Irinotecan, a first-line chemotherapy for gastrointestinal (GI) cancers has been causing fatal toxicities like bloody diarrhea and steatohepatitis for years. Irinotecan goes through multiple-step drug metabolism after injection and one of its intermediates 7-ethyl-10-hydroxy-camptothecin (SN-38) is responsible for irinotecan side effect. However, it is unclear what is the disposition kinetics of SN-38 in the organs subjected to toxicity. No studies ever quantified the effect of each enzyme or transporter on SN-38 distribution. In current study, we established a new physiologically based pharmacokinetic (PBPK) model to predict the disposition kinetics of irinotecan. The PBPK model was calibrated with in-house mouse pharmacokinetic data and evaluated with external datasets from the literature. We separated the contribution of each parameters in irinotecan pharmacokinetics by calculating the normalized sensitivity coefficient (NSC). The model gave robust prediction of SN-38 distribution in GI tract, the site of injury. We identified that bile excretion and UDP-glucuronosyltransferases (UGT) played more important roles than fecal excretion and renal clearance in SN-38 pharmacokinetics. Our NSC showed that the impact of enzyme and transporter on irinotecan and SN-38 pharmacokinetics evolved when time continued. Additionally, we mapped out the effect of inflammation on irinotecan metabolic pathways with PBPK modelling. We discovered that inflammation significantly increased the blood and liver exposure of irinotecan and SN-38 in the mice receiving bacterial endotoxin. Inflammation suppressed UGT, microbial metabolism but increased fecal excretion. The present PBPK model can serve as an efficacious and versatile tool to quantitively assess the risk of irinotecan toxicity. Highlights: A new PBPK model to predict irinotecan pharmacokinetics was established. Bile excretion and UGT are most important clearance in SN-38 pharmacokinetics. Inflammation increased the blood and liver exposure of irinotecan and SN-38. Inflammation suppressed UGT, microbial metabolism but increased fecal excretion.