Literature DB >> 26280926

Analytical and statistical comparability of generic enoxaparins from the US market with the originator product.

Pierre A J Mourier1, Christophe Agut2, Hajer Souaifi-Amara3, Fréderic Herman4, Christian Viskov5.   

Abstract

Low-molecular-weight heparins (LMWHs) are complex anticoagulant drugs, made from heparin porcine mucosa starting material. Enoxaparin sodium manufactured by Sanofi is one of the most widely prescribed LMWHs and has been used since 1993 in the USA. In 2010, US Food and Drug Administration approval for supplying generic enoxaparin was granted to Sandoz and subsequently to Amphastar. Little is known, however, of the differences in composition of these preparations. In this study, samples from several batches of generic enoxaparins were purchased on the US market and analyzed with state of the art methodologies, including disaccharide building blocks quantification, nuclear magnetic resonance (NMR), and a combination of orthogonal separation techniques. Direct high-performance liquid chromatography analysis of the different enoxaparin batches revealed distinct process fingerprints associated with each manufacturer. Disaccharide building block analysis showed differences in the degree of sulfation, the presence of glycoserine derivatives, as well as in proportions of disaccharides. Results were compared by statistical approaches using multivariate analysis with a partial least squares discriminant analysis methodology. The variations were statistically significant and allowed a clear distinction to be made between the enoxaparin batches according to their manufacturer. These results were further confirmed by orthogonal analytical techniques, including NMR, which revealed compositional differences of oligosaccharides both in low- and high-affinity antithrombin fractions of enoxaparin.
Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Analytical comparability; Chemometrics; Disaccharide quantification; Enoxaparin; Generic; Nuclear magnetic resonance

Mesh:

Substances:

Year:  2015        PMID: 26280926     DOI: 10.1016/j.jpba.2015.07.038

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  7 in total

1.  Online Capillary Zone Electrophoresis Negative Electron Transfer Dissociation Tandem Mass Spectrometry of Glycosaminoglycan Mixtures.

Authors:  Morgan Stickney; Patience Sanderson; Franklin E Leach; Fuming Zhang; Robert J Linhardt; I Jonathan Amster
Journal:  Int J Mass Spectrom       Date:  2019-08-17       Impact factor: 1.986

2.  Contrasting amino acid profiles among permissive and non-permissive hosts of Candidatus Liberibacter asiaticus, putative causal agent of Huanglongbing.

Authors:  Mamoudou Sétamou; Olufemi J Alabi; Catherine R Simpson; John L Jifon
Journal:  PLoS One       Date:  2017-12-13       Impact factor: 3.240

3.  Release characteristics of enoxaparin sodium-loaded polymethylmethacrylate bone cement.

Authors:  Hui Sun; Xinzhe Ma; Zhiyong Li; Jianning Liu; Wei Wang; Xiangbei Qi
Journal:  J Orthop Surg Res       Date:  2021-02-04       Impact factor: 2.359

4.  Specific Non-Reducing Ends in Heparins from Different Animal Origins: Building Blocks Analysis Using Reductive Amination Tagging by Sulfanilic Acid.

Authors:  Pierre A J Mourier
Journal:  Molecules       Date:  2020-11-26       Impact factor: 4.411

5.  Building Block Analysis of ATIII Affinity Fractions of Heparins: Application to the ATIII Binding Capacity of Non-conventional 3-O-Sulfated Sequences.

Authors:  Pierre Mourier
Journal:  Front Med (Lausanne)       Date:  2022-04-19

6.  Heparinase Digestion of 3-O-Sulfated Sequences: Selective Heparinase II Digestion for Separation and Identification of Binding Sequences Present in ATIII Affinity Fractions of Bovine Intestinal Heparins.

Authors:  Pierre Mourier
Journal:  Front Med (Lausanne)       Date:  2022-03-31

Review 7.  Developments in Mass Spectrometry for Glycosaminoglycan Analysis: A Review.

Authors:  Lauren E Pepi; Patience Sanderson; Morgan Stickney; I Jonathan Amster
Journal:  Mol Cell Proteomics       Date:  2021-01-06       Impact factor: 5.911

  7 in total

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