Literature DB >> 30395832

Role of Modeling and Simulation in the Development of Novel and Biosimilar Therapeutic Proteins.

Yow-Ming C Wang1, Yaning Wang2, Sarah J Schrieber2, Justin Earp2, Theingi M Thway2, Shiew Mei Huang2, Issam Zineh2, Leah Christl3.   

Abstract

Modeling and simulation (M&S) is an important enabler of knowledge integration in novel biological product development programs. Given the volume of data generated from clinical trials and the complexity of pharmacokinetic (PK) and pharmacodynamic (PD) properties for reference products, extending the use of M&S to biosimilar development is logical. Assessing PK and PD similarity is normally a critical part of demonstrating biosimilarity to a reference product. Thoughtful considerations are necessary in study design to minimize the PK and PD variability, thereby increasing the sensitivity for detecting potential differences between products. In addition, the sensitivity of PD biomarkers depends partly on their relevance to the mechanism(s) of action and the dynamic range of PD response(s), including the impact of certain structural differences on PD in the relevant population. As such, opportunities exist for leveraging the available M&S knowledgebase to maximize the efficiency in the design and interpretation of PK and PD similarity studies. This article describes M&S applications which have contributed to and can continue to enhance biosimilar development programs. Published by Elsevier Inc.

Entities:  

Keywords:  biomarker; biosimilar; pharmacodynamics; pharmacokinetic and pharmacodynamic modeling; pharmacokinetics; pharmacometrics

Mesh:

Substances:

Year:  2018        PMID: 30395832     DOI: 10.1016/j.xphs.2018.10.053

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  4 in total

1.  Current Perspectives on Ligand-Binding Assay Practices in the Quantification of Circulating Therapeutic Proteins for Biosimilar Biological Product Development.

Authors:  T M Thway; Y M Wang; B P Booth; K Maxfield; S M Huang; I Zineh
Journal:  AAPS J       Date:  2019-12-19       Impact factor: 4.009

2.  Retrospective Analysis of Bioanalytical Method Validation Approaches in Biosimilar Biological Product Development.

Authors:  O N Obianom; Theingi M Thway; S J Schrieber; O O Okusanya; Y M Wang; S M Huang; I Zineh
Journal:  AAPS J       Date:  2019-09-11       Impact factor: 4.009

Review 3.  Emerging Role of Organ-on-a-Chip Technologies in Quantitative Clinical Pharmacology Evaluation.

Authors:  Nina Isoherranen; Rajanikanth Madabushi; Shiew-Mei Huang
Journal:  Clin Transl Sci       Date:  2019-03       Impact factor: 4.689

4.  Predictive modeling of aspirin-triggered resolvin D1 pharmacokinetics for the study of Sjögren's syndrome.

Authors:  Venkata Kashyap Yellepeddi; Olga J Baker
Journal:  Clin Exp Dent Res       Date:  2019-12-19
  4 in total

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