2019
DOI: 10.1016/j.jpha.2019.02.001
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Comparison of ELISA and HPLC-MS methods for the determination of exenatide in biological and biotechnology-based formulation matrices

Abstract: The development of biotechnology-based active pharmaceutical ingredients, such as GLP-1 analogs, brought changes in type 2 diabetes treatment options. For better therapeutic efficiency, these active pharmaceutical ingredients require appropriate administration, without the development of adverse effects or toxicity. Therefore, it is required to develop several quantification methods for GLP-1 analogs products, in order to achieve the therapeutic goals, among which ELISA and HPLC arise. These methods are develo… Show more

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Cited by 27 publications
(23 citation statements)
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References 97 publications
(228 reference statements)
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“…The selection of protein precipitation protocol depends on multiple considerations including the properties of target protein and the availability of target protein binding reagents, the type of biomatrix, the analyte extraction protocol, and the status of measured analyte (i.e., free or total form) and the performance of key assay parameters (i.e., sensitivity and specificity). LC-MS has a long history in supporting the protein quantification with many advantages such as fast method development, high specificity, and multiplexing capability to measure metabolites in various biomatrices ( 68 ). However, the LC-MS approach may not be able to support the GTs with low-level translational protein expression due to limited sensitivity.…”
Section: Gene Therapy (Gt)mentioning
confidence: 99%
“…The selection of protein precipitation protocol depends on multiple considerations including the properties of target protein and the availability of target protein binding reagents, the type of biomatrix, the analyte extraction protocol, and the status of measured analyte (i.e., free or total form) and the performance of key assay parameters (i.e., sensitivity and specificity). LC-MS has a long history in supporting the protein quantification with many advantages such as fast method development, high specificity, and multiplexing capability to measure metabolites in various biomatrices ( 68 ). However, the LC-MS approach may not be able to support the GTs with low-level translational protein expression due to limited sensitivity.…”
Section: Gene Therapy (Gt)mentioning
confidence: 99%
“…Type 2 diabetes is a multifactorial disease and its treatment responsiveness is highly variable accordingly to the complexity of the pathogenic process. In the therapies of the disease, biguanides, first-generation sulfonylureas, second-generation sulfonylureas, meglitinides, a-glucosidase inhibitors, thiazolidinediones, DPP-4 inhibitors, glucagon-like peptide-1 receptor agonists, and sodium glucose co-transporter 2 inhibitors are used [ 149 ]. It is very important that the patient’s disease treatment includes a careful antidiabetic therapy selection, regarding the age, comorbidities, HbA1c levels, and the adverse effects associated with each active pharmaceutical ingredient.…”
Section: Other Drugsmentioning
confidence: 99%
“…Immunoassays in general are now the gold standard for biomarker detection and quantification in many laboratories around the world, due to their simplicity and user-friendly operation, relatively low cost, scalability, and utilization of small sample and reagent volumes [ 15 , 19 , 21 , 22 , 24 ]. Unfortunately, there are inherent limitations to immunoassay technologies that affect their clinical applications, such as antigen-antibody cross-reactivity, narrow concentration range of the analyte, variable reproducibility amongst different laboratories, lot-to-lot variability, and sample preparation time [ 24 , 25 , 26 , 27 , 28 ]. Additionally, complementary analytical techniques, such as gas chromatography (GC), HPLC, and supercritical fluid chromatography (SFC) coupled to various detection systems, MS, have also been used for the separation, detection, quantification, and characterization of numerous substances for specific applications [ 29 ].…”
Section: Brief History Of Biomarker-assay Technologiesmentioning
confidence: 99%