An in-depth Analysis on Four Classes of Antidepressants Quantification from Human Serum using LC-MS/MS

Author:

Fariha Ramisa1,Deshpande Prutha Sameer1,Rothkopf Emma1,Jabrah Mohannad1,Spooner Adam1,Okoh Oluwanifemi David1,Tripathi Anubhav2

Affiliation:

1. Brown University School of Engineering

2. Brown University

Abstract

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.

Publisher

Research Square Platform LLC

Reference29 articles.

1. Depression [Internet]. World Health Organization. 2021 [cited 2022Oct12]. Available from: https://www.who.int/news-room/fact-sheets/detail/depression.

2. SAMHSA - Substance Abuse and Mental Health Services Administration. [cited 2022Oct12]. Available from: https://www.samhsa.gov/.

3. Treatment [Internet]. Depression and Bipolar Support Alliance. [cited 2022Oct12]. Available from: https://www.dbsalliance.org/wellness/treatment-options/therapy/.

4. Winerman L. By the numbers: Antidepressant use on the rise [Internet]. American Psychological Association. [cited 2022Oct12]. Available from: https://www.apa.org/monitor/2017/11/numbers.

5. Trends and variation in antidepressant prescribing in English primary care: a retrospective longitudinal study;Bogowicz P;BJGP Open.,2021

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