Population Pharmacokinetics of Sarilumab in Patients with Rheumatoid Arthritis.


Journal

Clinical pharmacokinetics
ISSN: 1179-1926
Titre abrégé: Clin Pharmacokinet
Pays: Switzerland
ID NLM: 7606849

Informations de publication

Date de publication:
11 2019
Historique:
pubmed: 6 5 2019
medline: 9 9 2020
entrez: 6 5 2019
Statut: ppublish

Résumé

Sarilumab binds to the interleukin-6 receptor with high affinity, inhibiting cis and trans signaling by interleukin-6. Sarilumab has demonstrated efficacy and safety in patients with rheumatoid arthritis. The objective of this study was to develop a population-pharmacokinetic model using data from 1770 patients with rheumatoid arthritis across phase I-III studies. Potential covariates were identified using a stepwise forward-addition and backward-deletion strategy, and the final model was evaluated by visual predictive check and bootstrap methods. Sarilumab pharmacokinetics is described by a two-compartment model with first-order absorption and parallel linear and nonlinear Michaelis-Menten elimination. A subcutaneous dose of sarilumab 200 mg every 2 weeks resulted in more pronounced saturation of the nonlinear clearance pathway over the dosing interval than 150 mg every 2 weeks. Steady-state exposure (area under the plasma concentration-time curve from day 0 to day 14) increased twofold with dose escalation from 150 to 200 mg every 2 weeks. Body weight, anti-drug antibody status, sarilumab drug product, sex, creatinine clearance, albumin, and baseline C-reactive protein levels were identified as significant covariates according to the predefined statistical significance criteria in stepwise covariate searches. The main intrinsic source of pharmacokinetic variability in exposure was body weight. Compared with a typical 71-kg patient, the area under the plasma concentration-time curve from day 0 to day 14 was 20-23% lower for an 83-kg patient and 20-25% higher for a 62-kg patient. These findings, combined with the safety and efficacy data, indicated limited clinical relevance of body-weight effect on sarilumab exposure. No adjustment in sarilumab dose is required for body weight or any other demographics assessed.

Sections du résumé

BACKGROUND AND OBJECTIVE
Sarilumab binds to the interleukin-6 receptor with high affinity, inhibiting cis and trans signaling by interleukin-6. Sarilumab has demonstrated efficacy and safety in patients with rheumatoid arthritis. The objective of this study was to develop a population-pharmacokinetic model using data from 1770 patients with rheumatoid arthritis across phase I-III studies.
METHODS
Potential covariates were identified using a stepwise forward-addition and backward-deletion strategy, and the final model was evaluated by visual predictive check and bootstrap methods.
RESULTS
Sarilumab pharmacokinetics is described by a two-compartment model with first-order absorption and parallel linear and nonlinear Michaelis-Menten elimination. A subcutaneous dose of sarilumab 200 mg every 2 weeks resulted in more pronounced saturation of the nonlinear clearance pathway over the dosing interval than 150 mg every 2 weeks. Steady-state exposure (area under the plasma concentration-time curve from day 0 to day 14) increased twofold with dose escalation from 150 to 200 mg every 2 weeks. Body weight, anti-drug antibody status, sarilumab drug product, sex, creatinine clearance, albumin, and baseline C-reactive protein levels were identified as significant covariates according to the predefined statistical significance criteria in stepwise covariate searches. The main intrinsic source of pharmacokinetic variability in exposure was body weight. Compared with a typical 71-kg patient, the area under the plasma concentration-time curve from day 0 to day 14 was 20-23% lower for an 83-kg patient and 20-25% higher for a 62-kg patient.
CONCLUSIONS
These findings, combined with the safety and efficacy data, indicated limited clinical relevance of body-weight effect on sarilumab exposure. No adjustment in sarilumab dose is required for body weight or any other demographics assessed.

Identifiants

pubmed: 31055792
doi: 10.1007/s40262-019-00765-1
pii: 10.1007/s40262-019-00765-1
pmc: PMC6856490
doi:

Substances chimiques

Antibodies, Monoclonal, Humanized 0
Antirheumatic Agents 0
sarilumab NU90V55F8I

Types de publication

Clinical Trial, Phase I Clinical Trial, Phase II Clinical Trial, Phase III Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1455-1467

Références

Bioanalysis. 2015;7(11):1325-35
pubmed: 26110705
Lancet. 2013 May 4;381(9877):1541-50
pubmed: 23515142
Rheumatology (Oxford). 2010 Jan;49(1):15-24
pubmed: 19854855
Biomed Res Int. 2014;2014:698313
pubmed: 24524085
Clin Sci (Lond). 2012 Feb;122(4):143-59
pubmed: 22029668
Comput Methods Programs Biomed. 1999 Jan;58(1):51-64
pubmed: 10195646
Arch Pharm Res. 2015;38(5):575-84
pubmed: 25648633
CPT Pharmacometrics Syst Pharmacol. 2015 Jun;4(6):324-37
pubmed: 26225261
J Pharmacokinet Pharmacodyn. 2010 Feb;37(1):25-47
pubmed: 20012173
Blood. 1989 Jul;74(1):1-10
pubmed: 2473791

Auteurs

Christine Xu (C)

Sanofi Genzyme, 55 Corporation Drive, Bridgewater, NJ, 08807, USA. Christine.Xu@sanofi.com.

Yaming Su (Y)

Sanofi Genzyme, 55 Corporation Drive, Bridgewater, NJ, 08807, USA.
Daiichi Sankyo, Inc, Basking Ridge, NJ, USA.

Anne Paccaly (A)

Regeneron Pharmaceuticals, Inc, Tarrytown, NY, USA.

Vanaja Kanamaluru (V)

Sanofi Genzyme, 55 Corporation Drive, Bridgewater, NJ, 08807, USA.

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Classifications MeSH