Assessment of body mass-related covariates for rifampicin pharmacokinetics in healthy Caucasian volunteers.

Muhammad Bilal, Sami Ullah, Ulrich Jaehde, Christina Trueck, Dario Zaremba, Bertil Wachall, Manfred Wargenau, Bernhard Scheidel, Martin H J Wiesen, Malaz Gazzaz, Chunli Chen, S��ren B��sker, Uwe Fuhr, Max Taubert, Charalambos Dokos
Author Information
  1. Muhammad Bilal: Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany. muhammad.bilal@uk-koeln.de.
  2. Sami Ullah: Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  3. Ulrich Jaehde: Department of Clinical Pharmacy, Institute of Pharmacy, University of Bonn, Bonn, Germany.
  4. Christina Trueck: Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  5. Dario Zaremba: Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  6. Bertil Wachall: InfectoPharm Arzneimittel Und Consilium GmbH, 64646, Heppenheim, Germany.
  7. Manfred Wargenau: M.A.R.C.O. GmbH & Co. KG, Dusseldorf, Germany.
  8. Bernhard Scheidel: ACC GmbH Analytical Clinical Concepts, Leidersbach, Germany.
  9. Martin H J Wiesen: Pharmacology at the Laboratory Diagnostics Centre, Faculty of Medicine, University Hospital Cologne, University of Cologne, Therapeutic Drug Monitoring, Cologne, Germany.
  10. Malaz Gazzaz: Pharmaceutical Practices Department, College of Pharmacy, Umm Al-Qura University, Makkah, Saudi Arabia.
  11. Chunli Chen: Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  12. S��ren B��sker: Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  13. Uwe Fuhr: Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  14. Max Taubert: Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  15. Charalambos Dokos: Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Abstract

PURPOSE: Currently, body weight-based dosing of rifampicin is recommended. But lately, fat-free mass (FFM) was reported to be superior to body weight (BW). The present evaluation aimed to assess the influence of body mass-related covariates on rifampicin's pharmacokinetics (PK) parameters in more detail using non-linear mixed effects modeling (NLMEM).
METHODS: Twenty-four healthy Caucasian volunteers were enrolled in a bioequivalence study, each receiving a test and a reference tablet of 600 mg of rifampicin separated by a wash-out period of at least 9 days. Monolix version 2023R1 was used for NLMEM. Monte Carlo simulations (MCS) were performed to visualize the relationship of body size descriptors to the exposure to rifampicin.
RESULTS: A one-compartment model with nonlinear (Michaelis-Menten) elimination and zero-order absorption kinetics with a lag time best described the data. The covariate model including fat-free mass (FFM) on volume of distribution (V/F) and on maximum elimination rate (Vmax/F) lowered the objective function value (OFV) by 56.4. The second-best covariate model of sex on V/F and Vmax/F and BW on V/F reduced the OFV by 51.2. The decrease in unexplained inter-individual variability on Vmax/F in both covariate models was similar. For a given dose, MCS showed lower exposure to rifampicin with higher FFM and accordingly in males compared to females with the same BW and body height.
CONCLUSION: Our results indicate that beyond BW, body composition as reflected by FFM could also be relevant for optimized dosing of rifampicin. This assumption needs to be studied further in patients treated with rifampicin.

Keywords

References

  1. Emerg Infect Dis. 2020 Nov;26(11):2709-2712 [PMID: 32917293]
  2. Clin Infect Dis. 2020 Dec 15;71(12):3055-3060 [PMID: 31867594]
  3. Antimicrob Agents Chemother. 2016 Sep 23;60(10):6050-9 [PMID: 27480859]
  4. J Pharm Pharmacol. 2014 Oct;66(10):1421-8 [PMID: 24841364]
  5. Chemotherapy. 1972;17(6):373-81 [PMID: 5082603]
  6. J Antimicrob Chemother. 2008 Nov;62(5):872-8 [PMID: 18713760]
  7. Br J Clin Pharmacol. 2021 Sep;87(9):3492-3500 [PMID: 33538008]
  8. J Pharm Sci. 2009 Jul;98(7):2252-67 [PMID: 19160441]
  9. Drug Res (Stuttg). 2020 May;70(5):199-205 [PMID: 32193878]
  10. J Clin Pharmacol. 1983 Oct;23(10):433-7 [PMID: 6643696]
  11. Trans R Soc Trop Med Hyg. 2020 Feb 7;114(2):107-114 [PMID: 31789383]
  12. J Pain Symptom Manage. 2015 Dec;50(6):891-5 [PMID: 26432572]
  13. Clin Pharmacokinet. 2021 Jun;60(6):685-710 [PMID: 33674941]
  14. Br J Clin Pharmacol. 2014 Nov;78(5):1022-34 [PMID: 24903189]
  15. AAPS J. 2009 Jun;11(2):371-80 [PMID: 19452283]
  16. Chest. 1999 Jan;115(1):12-8 [PMID: 9925057]
  17. Clin Pharmacokinet. 2003;42(9):819-50 [PMID: 12882588]
  18. Indian J Pharm Sci. 2011 Sep;73(5):558-63 [PMID: 22923869]
  19. Antimicrob Agents Chemother. 2008 Jun;52(6):2138-48 [PMID: 18391026]
  20. J Clin Pharm Ther. 2013 Feb;38(1):56-61 [PMID: 23167603]
  21. Clin Pharmacol Ther. 2018 Apr;103(4):674-683 [PMID: 28653479]
  22. Eur J Clin Pharmacol. 1974 Aug 23;7(5):369-73 [PMID: 4138537]
  23. Br J Clin Pharmacol. 2016 Apr;81(4):679-87 [PMID: 26613187]
  24. Clin Pharmacokinet. 2019 Sep;58(9):1103-1129 [PMID: 31049868]
  25. Clin Pharmacokinet. 2020 Jul;59(7):885-898 [PMID: 31956969]
  26. Antimicrob Agents Chemother. 2015 Dec 07;60(3):1234-41 [PMID: 26643345]
  27. Clin Pharmacokinet. 2018 Jul;57(7):781-795 [PMID: 29330781]
  28. Clin Pharmacokinet. 1978 Mar-Apr;3(2):108-27 [PMID: 346286]
  29. PLoS One. 2015 Oct 26;10(10):e0141002 [PMID: 26501782]
  30. EcoSal Plus. 2020 Apr;9(1): [PMID: 32342856]
  31. Br J Clin Pharmacol. 2022 Jul;88(7):3132-3152 [PMID: 35253251]
  32. Antimicrob Agents Chemother. 2007 Jul;51(7):2546-51 [PMID: 17452486]
  33. Rev Infect Dis. 1983 Jul-Aug;5 Suppl 3:S402-6 [PMID: 6635432]
  34. J Antimicrob Chemother. 2015 Dec;70(12):3298-306 [PMID: 26342028]
  35. Cancer Chemother Rep. 1970 Aug;54(4):225-35 [PMID: 5527019]
  36. Antimicrob Agents Chemother. 2015 Nov 09;60(1):487-94 [PMID: 26552972]
  37. Antimicrob Agents Chemother. 2018 Aug 27;62(9): [PMID: 29914960]
  38. Antimicrob Agents Chemother. 2019 May 24;63(6): [PMID: 30910890]
  39. FASEB J. 2015 May;29(5):1629-34 [PMID: 25657112]
  40. J Pharm Biomed Anal. 2012 Nov;70:523-8 [PMID: 22709606]
  41. Antimicrob Agents Chemother. 2009 Jul;53(7):2974-81 [PMID: 19380594]
  42. Antimicrob Agents Chemother. 2003 Jul;47(7):2118-24 [PMID: 12821456]
  43. Br J Clin Pharmacol. 2021 Mar;87(3):1347-1358 [PMID: 33464624]
  44. Sci Rep. 2016 Jun 21;6:27966 [PMID: 27323883]
  45. Antimicrob Agents Chemother. 2014 Jun;58(6):3468-74 [PMID: 24709267]
  46. Pharmacogenomics. 2019 Mar;20(4):225-240 [PMID: 30767706]
  47. Clin Pharmacokinet. 2005;44(10):1051-65 [PMID: 16176118]
  48. Clin Pharmacol Ther. 1977 Mar;21(3):370-4 [PMID: 319939]
  49. Chemotherapy. 1971;16(6):356-70 [PMID: 5145008]
  50. Clin Pharmacokinet. 2003;42(2):107-21 [PMID: 12537512]

Grants

  1. 212-54900112/2022 ESI International High Impact Research Article Cooperation Program
  2. YQ2022C017/the National Natural Science Foundation of Heilongjiang Province
  3. 2020106 & PC2020013/International Postdoctoral Exchange Fellowship Program from the Office of China Postdoctoral Council

MeSH Term

Humans
Rifampin
Male
Female
Adult
White People
Models, Biological
Healthy Volunteers
Young Adult
Therapeutic Equivalency
Monte Carlo Method
Antibiotics, Antitubercular
Body Weight
Cross-Over Studies
Nonlinear Dynamics

Chemicals

Rifampin
Antibiotics, Antitubercular

Word Cloud

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