Literature DB >> 30366211

Binding studies based on ultrafast affinity extraction and single- or two-column systems: Interactions of second- and third-generation sulfonylurea drugs with normal or glycated human serum albumin.

Bao Yang1, Xiwei Zheng1, David S Hage2.   

Abstract

Ultrafast affinity extraction was evaluated and used with microcolumns containing human serum albumin (HSA) to measure the global affinity constants and dissociation rate constants for several second- and third-generation sulfonylurea drugs with solution-phase normal HSA or glycated HSA. Glibenclamide, glimepiride and glipizide were used as model drugs for this work. Both single- and two-column systems were considered for the analysis of global affinities for the model drugs. These methods were optimized with respect to the flow rates, column sizes and sample residence times that were employed with each drug for ultrafast affinity extraction. Data acquired with single-column systems were further utilized to estimate the dissociation rate constants for normal HSA and glycated HSA with the given drugs. The binding constants obtained by the single- and two-column systems showed good agreement with each other and with values obtained from the literature. Use of a single-column system indicated that levels of glycation found in controlled or advanced diabetes resulted in a 18-44% decrease in the overall binding strength of the model drugs with HSA. Although the two-column system allowed work with smaller free drug fractions and clinically-relevant drug/protein concentrations, the single-column system required less protein, provided better precision, and was easier to use in binding studies.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diabetes; Drug-protein binding; Glycation; Human serum albumin; Sulfonylurea drugs; Ultrafast affinity extraction

Mesh:

Substances:

Year:  2018        PMID: 30366211      PMCID: PMC6251404          DOI: 10.1016/j.jchromb.2018.10.015

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  36 in total

1.  Further characterization of specific drug binding sites on human serum albumin.

Authors:  G Sudlow; D J Birkett; D N Wade
Journal:  Mol Pharmacol       Date:  1976-11       Impact factor: 4.436

2.  Plasma protein binding of dietary polyphenols to human serum albumin: A high performance affinity chromatography approach.

Authors:  Hui Cao; Xiaojuan Liu; Nataša Poklar Ulrih; Pradeep K Sengupta; Jianbo Xiao
Journal:  Food Chem       Date:  2018-07-18       Impact factor: 7.514

3.  Analysis of Hormone-Protein Binding in Solution by Ultrafast Affinity Extraction: Interactions of Testosterone with Human Serum Albumin and Sex Hormone Binding Globulin.

Authors:  Xiwei Zheng; Cong Bi; Marissa Brooks; David S Hage
Journal:  Anal Chem       Date:  2015-10-27       Impact factor: 6.986

4.  Characterization of solution-phase drug-protein interactions by ultrafast affinity extraction.

Authors:  Sandya R Beeram; Xiwei Zheng; Kyungah Suh; David S Hage
Journal:  Methods       Date:  2018-03-03       Impact factor: 3.608

5.  Analysis of drug-protein binding by ultrafast affinity chromatography using immobilized human serum albumin.

Authors:  Rangan Mallik; Michelle J Yoo; Chad J Briscoe; David S Hage
Journal:  J Chromatogr A       Date:  2010-02-23       Impact factor: 4.759

6.  Analysis of drug interactions with modified proteins by high-performance affinity chromatography: binding of glibenclamide to normal and glycated human serum albumin.

Authors:  Ryan Matsuda; Jeanethe Anguizola; K S Joseph; David S Hage
Journal:  J Chromatogr A       Date:  2012-10-08       Impact factor: 4.759

7.  Analysis of glipizide binding to normal and glycated human serum albumin by high-performance affinity chromatography.

Authors:  Ryan Matsuda; Zhao Li; Xiwei Zheng; David S Hage
Journal:  Anal Bioanal Chem       Date:  2015-04-26       Impact factor: 4.142

8.  Drug concentrations in post-mortem femoral blood compared with therapeutic concentrations in plasma.

Authors:  Terhi Launiainen; Ilkka Ojanperä
Journal:  Drug Test Anal       Date:  2013-07-23       Impact factor: 3.345

9.  Sulfonylureas and their use in clinical practice.

Authors:  Daniele Sola; Luca Rossi; Gian Piero Carnevale Schianca; Pamela Maffioli; Marcello Bigliocca; Roberto Mella; Francesca Corlianò; Gian Paolo Fra; Ettore Bartoli; Giuseppe Derosa
Journal:  Arch Med Sci       Date:  2015-08-11       Impact factor: 3.318

10.  Determination of rate constants and equilibrium constants for solution-phase drug-protein interactions by ultrafast affinity extraction.

Authors:  Xiwei Zheng; Zhao Li; Maria I Podariu; David S Hage
Journal:  Anal Chem       Date:  2014-06-20       Impact factor: 6.986

View more
  5 in total

Review 1.  Affinity chromatography: A review of trends and developments over the past 50 years.

Authors:  Elliott L Rodriguez; Saumen Poddar; Sazia Iftekhar; Kyungah Suh; Ashley G Woolfork; Susan Ovbude; Allegra Pekarek; Morgan Walters; Shae Lott; David S Hage
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2020-08-14       Impact factor: 3.205

2.  Evaluation of microcolumn stability in ultrafast affinity extraction for binding and rate studies.

Authors:  Sazia Iftekhar; David S Hage
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2021-11-17       Impact factor: 3.205

Review 3.  [Advances in chromatography in the study of drug-plasma protein interactions].

Authors:  Yu Bai; Yufan Fan; Guangbo Ge; Fangjun Wang
Journal:  Se Pu       Date:  2021-10

4.  Recent Advances in Supramolecular Affinity Separations: Affinity Chromatography and Related Methods.

Authors:  Ashley G Woolfork; Sazia Iftekhar; Susan Ovbude; Kyungah Suh; Sadia Sharmeen; Isaac Kyei; Jacob Jones; David S Hage
Journal:  Adv Chromatogr       Date:  2021       Impact factor: 0.400

Review 5.  Kinetic Analysis by Affinity Chromatography.

Authors:  Sazia Iftekhar; Susan T Ovbude; David S Hage
Journal:  Front Chem       Date:  2019-10-18       Impact factor: 5.221

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.