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An in-depth analysis of four classes of antidepressants quantification from human serum using LC–MS/MS
Depression is a growing global crisis, with females at a higher rate of diagnosis than males. While the percentage of patients on prescribed antidepressants have tripled over the last two decades, we are still at a crossroad where the discrepancy lies between finding a drug to suit a patient and mon...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902619/ https://www.ncbi.nlm.nih.gov/pubmed/36747000 http://dx.doi.org/10.1038/s41598-023-29229-0 |
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author | Fariha, Ramisa Deshpande, Prutha S. Rothkopf, Emma Jabrah, Mohannad Spooner, Adam Okoh, Oluwanifemi David Tripathi, Anubhav |
author_facet | Fariha, Ramisa Deshpande, Prutha S. Rothkopf, Emma Jabrah, Mohannad Spooner, Adam Okoh, Oluwanifemi David Tripathi, Anubhav |
author_sort | Fariha, Ramisa |
collection | PubMed |
description | Depression is a growing global crisis, with females at a higher rate of diagnosis than males. While the percentage of patients on prescribed antidepressants have tripled over the last two decades, we are still at a crossroad where the discrepancy lies between finding a drug to suit a patient and monitoring the abundance of it in the body to prevent unwanted side effects. Liquid Chromatography tandem mass spectrometry (LC–MS/MS) has garnered the attention of clinicians as a technique to accurately monitor therapeutic drugs in human serum with high specificity and accuracy. This may be a potential solution, but the challenge persists in the realm of sample preparation, where a method is automatable. We have developed and validated an LC–MS/MS-based assay for simultaneous quantification of 4 different classes of commonly prescribed antidepressants in women that is automated using a JANUS G3 Robotic Liquid Handler. Our method utilizes a simple sample preparation technique, utilizing only 20 μL of a serum sample, to accurately measure Bupropion, Citalopram, Desipramine, Imipramine, Olanzapine, Sertraline and Vilazodone across a range of 1.0 to 230 ng/mL. Our method exhibits a linearity of R2 ≥ 0.99 when detected in MRM mode and % CV of ≤ 20% for all analytes across the board. In addition, we have designed a prototype that can be utilized at a clinical mass spectrometry lab and assessed the long-term use of this prototype using an accelerated stability study. Overall, our developed method has the potential to be translated to clinical settings to monitor postpartum depression for a large number of patient samples using automation. |
format | Online Article Text |
id | pubmed-9902619 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99026192023-02-08 An in-depth analysis of four classes of antidepressants quantification from human serum using LC–MS/MS Fariha, Ramisa Deshpande, Prutha S. Rothkopf, Emma Jabrah, Mohannad Spooner, Adam Okoh, Oluwanifemi David Tripathi, Anubhav Sci Rep Article Depression is a growing global crisis, with females at a higher rate of diagnosis than males. While the percentage of patients on prescribed antidepressants have tripled over the last two decades, we are still at a crossroad where the discrepancy lies between finding a drug to suit a patient and monitoring the abundance of it in the body to prevent unwanted side effects. Liquid Chromatography tandem mass spectrometry (LC–MS/MS) has garnered the attention of clinicians as a technique to accurately monitor therapeutic drugs in human serum with high specificity and accuracy. This may be a potential solution, but the challenge persists in the realm of sample preparation, where a method is automatable. We have developed and validated an LC–MS/MS-based assay for simultaneous quantification of 4 different classes of commonly prescribed antidepressants in women that is automated using a JANUS G3 Robotic Liquid Handler. Our method utilizes a simple sample preparation technique, utilizing only 20 μL of a serum sample, to accurately measure Bupropion, Citalopram, Desipramine, Imipramine, Olanzapine, Sertraline and Vilazodone across a range of 1.0 to 230 ng/mL. Our method exhibits a linearity of R2 ≥ 0.99 when detected in MRM mode and % CV of ≤ 20% for all analytes across the board. In addition, we have designed a prototype that can be utilized at a clinical mass spectrometry lab and assessed the long-term use of this prototype using an accelerated stability study. Overall, our developed method has the potential to be translated to clinical settings to monitor postpartum depression for a large number of patient samples using automation. Nature Publishing Group UK 2023-02-06 /pmc/articles/PMC9902619/ /pubmed/36747000 http://dx.doi.org/10.1038/s41598-023-29229-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Fariha, Ramisa Deshpande, Prutha S. Rothkopf, Emma Jabrah, Mohannad Spooner, Adam Okoh, Oluwanifemi David Tripathi, Anubhav An in-depth analysis of four classes of antidepressants quantification from human serum using LC–MS/MS |
title | An in-depth analysis of four classes of antidepressants quantification from human serum using LC–MS/MS |
title_full | An in-depth analysis of four classes of antidepressants quantification from human serum using LC–MS/MS |
title_fullStr | An in-depth analysis of four classes of antidepressants quantification from human serum using LC–MS/MS |
title_full_unstemmed | An in-depth analysis of four classes of antidepressants quantification from human serum using LC–MS/MS |
title_short | An in-depth analysis of four classes of antidepressants quantification from human serum using LC–MS/MS |
title_sort | in-depth analysis of four classes of antidepressants quantification from human serum using lc–ms/ms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902619/ https://www.ncbi.nlm.nih.gov/pubmed/36747000 http://dx.doi.org/10.1038/s41598-023-29229-0 |
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