Literature DB >> 33256255

Semi-Mechanistic Pharmacokinetic Model to Guide the Dose Selection of Nimotuzumab in Patients with Autosomal Dominant Polycystic Kidney Disease.

Niurys de Castro-Suárez1, Mirjam N Trame2, Mayra Ramos-Suzarte3, José M Dávalos4, Raymed A Bacallao-Mendez4, Anaelys R Maceo-Sinabele5, Víctor Mangas-Sanjuán6,7, Gledys Reynaldo-Fernández1, Leyanis Rodríguez-Vera1.   

Abstract

Autosomal dominant polycystic kidney disease (ADPKD) is a genetic disease characterized by an overexpression of epidermal growth factor receptor (EGFR). Nimotuzumab is a recombinant humanized monoclonal antibody against human EGFR. The aim of this study was to develop a population pharmacokinetic model for nimotuzumab and to identify demographic and clinical predictive factors of the pharmacokinetic variability. The population pharmacokinetics (PopPK) of nimotuzumab was characterized using a nonlinear mixed-effect modeling approach with NONMEM®. A total of 422 log-transformed concentration-versus-time datapoints from 20 patients enrolled in a single-center phase I clinical trial were used. Quasi steady state approximation of the full TMDD (target-mediated drug disposition) model with constant target concentration best described the concentration-time profiles. A turnover mediator was included which stimulates the non-specific clearance of mAb in the central compartment in order to explain the reduced levels at higher doses. Covariates had no influence on the PK (pharmacokinetics) parameters. The model was able to detect that the maximum effective dose in ADPKD subjects is 100 mg. The developed PopPK model may be used to guide the dose selection for nimotuzumab during routine clinical practice in patients with polycystic kidney disease. The model will further support the ongoing investigations of the PK/PD relationships of nimotuzumab to improve its therapeutic use in other disease areas.

Entities:  

Keywords:  EGFR; NONMEM; autosomal dominant polycystic kidney disease; nimotuzumab; population analysis; semi-mechanistic pharmacokinetics

Year:  2020        PMID: 33256255      PMCID: PMC7760646          DOI: 10.3390/pharmaceutics12121147

Source DB:  PubMed          Journal:  Pharmaceutics        ISSN: 1999-4923            Impact factor:   6.321


  43 in total

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Authors:  Wynand B W H Melenhorst; Gemma M Mulder; Qi Xi; Joost G J Hoenderop; Keita Kimura; Satoru Eguchi; Harry van Goor
Journal:  Hypertension       Date:  2008-11-03       Impact factor: 10.190

Review 2.  Gaining insights into the consequences of target-mediated drug disposition of monoclonal antibodies using quasi-steady-state approximations.

Authors:  Hans Peter Grimm
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-08-30       Impact factor: 2.745

3.  Semimechanistic model to characterize nonlinear pharmacokinetics of nimotuzumab in patients with advanced breast cancer.

Authors:  Leyanis Rodríguez-Vera; Mayra Ramos-Suzarte; Eduardo Fernández-Sánchez; Jorge Luis Soriano; Concepción Peraire Guitart; Gilberto Castañeda Hernández; Carlos O Jacobo-Cabral; Niurys de Castro Suárez; Helena Colom Codina
Journal:  J Clin Pharmacol       Date:  2015-04-24       Impact factor: 3.126

4.  Elevation of serum levels of metalloproteinase-1, tissue inhibitor of metalloproteinase-1 and type IV collagen, and plasma levels of metalloproteinase-9 in polycystic kidney disease.

Authors:  T Nakamura; C Ushiyama; S Suzuki; I Ebihara; N Shimada; H Koide
Journal:  Am J Nephrol       Date:  2000 Jan-Feb       Impact factor: 3.754

5.  Bivalent binding by intermediate affinity of nimotuzumab: a contribution to explain antibody clinical profile.

Authors:  Greta Garrido; Ilia A Tikhomirov; Ailem Rabasa; Eric Yang; Elías Gracia; Normando Iznaga; Luis E Fernández; Tania Crombet; Robert S Kerbel; Rolando Pérez
Journal:  Cancer Biol Ther       Date:  2011-02-15       Impact factor: 4.742

6.  Increased plasma metalloproteinase-9 concentrations precede development of microalbuminuria in non-insulin-dependent diabetes mellitus.

Authors:  I Ebihara; T Nakamura; N Shimada; H Koide
Journal:  Am J Kidney Dis       Date:  1998-10       Impact factor: 8.860

Review 7.  Clinical pharmacokinetics and use of infliximab.

Authors:  Ulrich Klotz; Alexander Teml; Matthias Schwab
Journal:  Clin Pharmacokinet       Date:  2007       Impact factor: 6.447

Review 8.  FcRn: the neonatal Fc receptor comes of age.

Authors:  Derry C Roopenian; Shreeram Akilesh
Journal:  Nat Rev Immunol       Date:  2007-08-17       Impact factor: 53.106

9.  Population pharmacokinetic analysis of panitumumab in patients with advanced solid tumors.

Authors:  Peiming Ma; Bing-Bing Yang; Yow-Ming Wang; Mark Peterson; Adimoolam Narayanan; Liviawati Sutjandra; Rachelle Rodriguez; Andrew Chow
Journal:  J Clin Pharmacol       Date:  2009-09-01       Impact factor: 3.126

10.  FG-3019, a Human Monoclonal Antibody Recognizing Connective Tissue Growth Factor, is Subject to Target-Mediated Drug Disposition.

Authors:  Mitchell C Brenner; Wojciech Krzyzanski; James Z Chou; Pierre E Signore; Cyra K Fung; David Guzman; Dongxia Li; Weihua Zhang; David R Olsen; Viet-Tam L Nguyen; Carolyn W Koo; Mark D Sternlicht; Kenneth E Lipson
Journal:  Pharm Res       Date:  2016-04-08       Impact factor: 4.200

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