Literature DB >> 14630144

Separation and detection methods for covalent drug-protein adducts.

Shufeng Zhou1.   

Abstract

Covalent binding of reactive metabolites of drugs to proteins has been a predominant hypothesis for the mechanism of toxicity caused by numerous drugs. The development of efficient and sensitive analytical methods for the separation, identification, quantification of drug-protein adducts have important clinical and toxicological implications. In the last few decades, continuous progress in analytical methodology has been achieved with substantial increase in the number of new, more specific and more sensitive methods for drug-protein adducts. The methods used for drug-protein adduct studies include those for separation and for subsequent detection and identification. Various chromatographic (e.g., affinity chromatography, ion-exchange chromatography, and high-performance liquid chromatography) and electrophoretic techniques [e.g., sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), two-dimensional SDS-PAGE, and capillary electrophoresis], used alone or in combination, offer an opportunity to purify proteins adducted by reactive drug metabolites. Conventionally, mass spectrometric (MS), nuclear magnetic resonance, and immunological and radioisotope methods are used to detect and identify protein targets for reactive drug metabolites. However, these methods are labor-intensive, and have provided very limited sequence information on the target proteins adducted, and thus the identities of the protein targets are usually unknown. Moreover, the antibody-based methods are limited by the availability, quality, and specificity of antibodies to protein adducts, which greatly hindered the identification of specific protein targets of drugs and their clinical applications. Recently, the use of powerful MS technologies (e.g., matrix-assisted laser desorption/ionization time-of-flight) together with analytical proteomics have enabled one to separate, identify unknown protein adducts, and establish the sequence context of specific adducts by offering the opportunity to search for adducts in proteomes containing a large number of proteins with protein adducts and unmodified proteins. The present review highlights the separation and detection technologies for drug-protein adducts, with an emphasis on methodology, advantages and limitations to these techniques. Furthermore, a brief discussion of the application of these techniques to individual drugs and their target proteins will be outlined.

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Year:  2003        PMID: 14630144     DOI: 10.1016/s1570-0232(03)00399-4

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


  5 in total

1.  Quantitative Chemical Proteomic Profiling of the in Vivo Targets of Reactive Drug Metabolites.

Authors:  Landon R Whitby; R Scott Obach; Gabriel M Simon; Matthew M Hayward; Benjamin F Cravatt
Journal:  ACS Chem Biol       Date:  2017-06-21       Impact factor: 5.100

2.  Organ-Specific Screening for Protein Damage Using Magnetic Bead Bioreactors and LC-MS/MS.

Authors:  Di Jiang; Min Shen; Ben Ahiadu; James F Rusling
Journal:  Anal Chem       Date:  2020-03-24       Impact factor: 6.986

Review 3.  Recent applications of affinity interactions in capillary electrophoresis.

Authors:  Christian Schou; Niels H H Heegaard
Journal:  Electrophoresis       Date:  2006-01       Impact factor: 3.535

4.  Significance of Multiple Bioactivation Pathways for Meclofenamate as Revealed through Modeling and Reaction Kinetics.

Authors:  Mary Alexandra Schleiff; Noah R Flynn; Sasin Payakachat; Benjamin Mark Schleiff; Anna O Pinson; Dennis W Province; S Joshua Swamidass; Gunnar Boysen; Grover P Miller
Journal:  Drug Metab Dispos       Date:  2020-11-25       Impact factor: 3.922

5.  The reactive metabolite target protein database (TPDB)--a web-accessible resource.

Authors:  Robert P Hanzlik; Yakov M Koen; Bhargav Theertham; Yinghua Dong; Jianwen Fang
Journal:  BMC Bioinformatics       Date:  2007-03-16       Impact factor: 3.169

  5 in total

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