Tags

Type your tag names separated by a space and hit enter

Development and Evaluation of Physiologically Based Pharmacokinetic Drug-Disease Models for Predicting Rifampicin Exposure in Tuberculosis and Cirrhosis Populations.
Pharmaceutics. 2019 Nov 05; 11(11)P

Abstract

The physiologically based pharmacokinetic (PBPK) approach facilitates the construction of novel drug-disease models by allowing incorporation of relevant pathophysiological changes. The aim of the present work was to explore and identify the differences in rifampicin pharmacokinetics (PK) after the application of its single dose in healthy and diseased populations by using PBPK drug-disease models. The Simcyp® simulator was used as a platform for modeling and simulation. The model development process was initiated by predicting rifampicin PK in healthy population after intravenous (i.v) and oral administration. Subsequent to successful evaluation in healthy population, the pathophysiological changes in tuberculosis and cirrhosis population were incorporated into the developed model for predicting rifampicin PK in these populations. The model evaluation was performed by using visual predictive checks and the comparison of mean observed/predicted ratios (ratio(Obs/pred)) of the PK parameters. The predicted PK parameters in the healthy population were in adequate harmony with the reported clinical data. The incorporation of pathophysiological changes in albumin concentration in the tuberculosis population revealed improved prediction of clearance. The developed PBPK drug-disease models have efficiently described rifampicin PK in tuberculosis and cirrhosis populations after administering single drug dose, as the ratio(Obs/pred) for all the PK parameters were within a two-fold error range. The mechanistic nature of the developed PBPK models may facilitate their extension to other diseases and drugs.

Authors+Show Affiliations

Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan 60800, Pakistan.Department of Pharmaceutics, Faculty of Pharmacy, Bahauddin Zakariya University, Multan 60800, Pakistan.Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan 60800, Pakistan.Section of Pharmaceutics, University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore 54000, Pakistan.Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan 60800, Pakistan.Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31694244

Citation

Rasool, Muhammad F., et al. "Development and Evaluation of Physiologically Based Pharmacokinetic Drug-Disease Models for Predicting Rifampicin Exposure in Tuberculosis and Cirrhosis Populations." Pharmaceutics, vol. 11, no. 11, 2019.
Rasool MF, Khalid S, Majeed A, et al. Development and Evaluation of Physiologically Based Pharmacokinetic Drug-Disease Models for Predicting Rifampicin Exposure in Tuberculosis and Cirrhosis Populations. Pharmaceutics. 2019;11(11).
Rasool, M. F., Khalid, S., Majeed, A., Saeed, H., Imran, I., Mohany, M., Al-Rejaie, S. S., & Alqahtani, F. (2019). Development and Evaluation of Physiologically Based Pharmacokinetic Drug-Disease Models for Predicting Rifampicin Exposure in Tuberculosis and Cirrhosis Populations. Pharmaceutics, 11(11). https://doi.org/10.3390/pharmaceutics11110578
Rasool MF, et al. Development and Evaluation of Physiologically Based Pharmacokinetic Drug-Disease Models for Predicting Rifampicin Exposure in Tuberculosis and Cirrhosis Populations. Pharmaceutics. 2019 Nov 5;11(11) PubMed PMID: 31694244.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Development and Evaluation of Physiologically Based Pharmacokinetic Drug-Disease Models for Predicting Rifampicin Exposure in Tuberculosis and Cirrhosis Populations. AU - Rasool,Muhammad F, AU - Khalid,Sundus, AU - Majeed,Abdul, AU - Saeed,Hamid, AU - Imran,Imran, AU - Mohany,Mohamed, AU - Al-Rejaie,Salim S, AU - Alqahtani,Faleh, Y1 - 2019/11/05/ PY - 2019/09/07/received PY - 2019/10/22/revised PY - 2019/10/30/accepted PY - 2019/11/8/entrez PY - 2019/11/7/pubmed PY - 2019/11/7/medline KW - PBPK KW - Rifampicin KW - Simcyp® KW - cirrhosis KW - clearance KW - drug–disease model KW - pharmacokinetics KW - tuberculosis JF - Pharmaceutics JO - Pharmaceutics VL - 11 IS - 11 N2 - The physiologically based pharmacokinetic (PBPK) approach facilitates the construction of novel drug-disease models by allowing incorporation of relevant pathophysiological changes. The aim of the present work was to explore and identify the differences in rifampicin pharmacokinetics (PK) after the application of its single dose in healthy and diseased populations by using PBPK drug-disease models. The Simcyp® simulator was used as a platform for modeling and simulation. The model development process was initiated by predicting rifampicin PK in healthy population after intravenous (i.v) and oral administration. Subsequent to successful evaluation in healthy population, the pathophysiological changes in tuberculosis and cirrhosis population were incorporated into the developed model for predicting rifampicin PK in these populations. The model evaluation was performed by using visual predictive checks and the comparison of mean observed/predicted ratios (ratio(Obs/pred)) of the PK parameters. The predicted PK parameters in the healthy population were in adequate harmony with the reported clinical data. The incorporation of pathophysiological changes in albumin concentration in the tuberculosis population revealed improved prediction of clearance. The developed PBPK drug-disease models have efficiently described rifampicin PK in tuberculosis and cirrhosis populations after administering single drug dose, as the ratio(Obs/pred) for all the PK parameters were within a two-fold error range. The mechanistic nature of the developed PBPK models may facilitate their extension to other diseases and drugs. SN - 1999-4923 UR - https://www.unboundmedicine.com/medline/citation/31694244/Development_and_Evaluation_of_Physiologically_Based_Pharmacokinetic_Drug_Disease_Models_for_Predicting_Rifampicin_Exposure_in_Tuberculosis_and_Cirrhosis_Populations_ DB - PRIME DP - Unbound Medicine ER -
Try the Free App:
Prime PubMed app for iOS iPhone iPad
Prime PubMed app for Android
Prime PubMed is provided
free to individuals by:
Unbound Medicine.