ArticleJournal of chromatography. A2015
Analysis of multi-site drug-protein interactions by high-performance affinity chromatography: Binding by glimepiride to normal or glycated human serum albumin.
Article in Journal of chromatography. A, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 36 citations in OpenAlex.
- Molecular Mechanisms of Interaction of Human Serum Albumin with the CD36 Receptor: Insights from Molecular Dynamics Simulations.International journal of molecular sciences · 2026Article
- Characterization of binding by repaglinide and nateglinide with glycated human serum albumin using high-performance affinity microcolumns.Journal of separation science · 2022Article
- Hypoglycemia possibly caused by CYP2C9-mediated drug interaction in combination with bucolome: a case report.Journal of pharmaceutical health care and sciences · 2021Article
- [Advances in chromatography in the study of drug-plasma protein interactions].Se pu = Chinese journal of chromatography · 2021Review
- High-Performance affinity chromatographic studies of repaglinide and nateglinide interactions with normal and glyoxal- or methylglyoxal-modified human albumin serum.Journal of pharmaceutical and biomedical analysis · 2021Article
- Recent Advances in Supramolecular Affinity Separations: Affinity Chromatography and Related Methods.Advances in chromatography · 2021Article
- Solid-Supported Proteins in the Liquid Chromatography Domain to Probe Ligand-Target Interactions.Frontiers in chemistry · 2019Review
- 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.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2018Article
- Chromatographic studies of chlorpropamide interactions with normal and glycated human serum albumin based on affinity microcolumns.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2018Article
- Analysis of solute-protein interactions and solute-solute competition by zonal elution affinity chromatography.Methods (San Diego, Calif.) · 2018Review
- Overview of the detection methods for equilibrium dissociation constantJournal of pharmaceutical analysis · 2018Review
- High performance affinity chromatography and related separation methods for the analysis of biological and pharmaceutical agents.The Analyst · 2018Review
- Analysis of stereoselective drug interactions with serum proteins by high-performance affinity chromatography: A historical perspective.Journal of pharmaceutical and biomedical analysis · 2017Review
- Analysis of Biological Interactions by Affinity Chromatography: Clinical and Pharmaceutical Applications.Clinical chemistry · 2017Review
- Chromatographic Studies of Protein-Based Chiral Separations.Separations · 2016Article
- Analysis of Hormone-Protein Binding in Solution by Ultrafast Affinity Extraction: Interactions of Testosterone with Human Serum Albumin and Sex Hormone Binding Globulin.Analytical chemistry · 2015Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
High-performance affinity chromatography (HPAC) was used in a variety of formats to examine multi-site interactions between glimepiride, a third-generation sulfonylurea drug, and normal or in vitro glycated forms of the transport protein human serum albumin (HSA). Frontal analysis revealed that glimepiride interacts with normal HSA and glycated HSA at a group of high affinity sites (association equilibrium constant, or Ka, 9.2-11.8×10(5)M(-1) at pH 7.4 and 37°C) and a group of lower affinity regions (Ka, 5.9-16×10(3)M(-1)). Zonal elution competition studies were designed and carried out in both normal- and reversed-role formats to investigate the binding by this drug at specific sites. These experiments indicated that glimepiride was interacting at both Sudlow sites I and II. Allosteric effects were also noted with R-warfarin at Sudlow site I and with tamoxifen at the tamoxifen site on HSA. The binding at Sudlow site I had a 2.1- to 2.3-fold increase in affinity in going from normal HSA to the glycated samples of HSA. There was no significant change in the affinity for glimepiride at Sudlow site II in going from normal HSA to a moderately glycated sample of HSA, but a slight decrease in affinity was seen in going to a more highly glycated HSA sample. These results demonstrated how various HPAC-based methods can be used to profile and characterize multi-site binding by a drug such as glimepiride to a protein and its modified forms. The information obtained from this study should be useful in providing a better understanding of how drug-protein binding may be affected by glycation and of how separation and analysis methods based on HPAC can be employed to study systems with complex interactions or that involve modified proteins.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.