An in-depth Analysis on Four Classes of Antidepressants Quantification from Human Serum using LC-MS/MS
Abstract 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 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 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 5-different classes of the 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 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 we have 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 post-partum depression for large number of patient samples using automation..
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Preprint| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
ResearchSquare.com - (2022) vom: 21. Nov. Zur Gesamtaufnahme - year:2022 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
Fariha, Ramisa [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| doi: |
10.21203/rs.3.rs-2282174/v1 |
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XRA037935984 |
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| 520 | |a Abstract 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 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 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 5-different classes of the 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 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 we have 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 post-partum depression for large number of patient samples using automation. | ||
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| 700 | 1 | |a Jabrah, Mohannad |e verfasserin |4 aut | |
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