An in-depth analysis of four classes of antidepressants quantification from human serum using LC-MS/MS
© 2023. The Author(s)..
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.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:13 |
|---|---|
| Enthalten in: |
Scientific reports - 13(2023), 1 vom: 06. Feb., Seite 2115 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Fariha, Ramisa [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Antidepressive Agents |
|---|
| Anmerkungen: |
Date Completed 08.02.2023 Date Revised 17.03.2023 published: Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1038/s41598-023-29229-0 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM352569638 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM352569638 | ||
| 003 | DE-627 | ||
| 005 | 20231226205928.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1038/s41598-023-29229-0 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1175.xml |
| 035 | |a (DE-627)NLM352569638 | ||
| 035 | |a (NLM)36747000 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Fariha, Ramisa |e verfasserin |4 aut | |
| 245 | 1 | 3 | |a An in-depth analysis of four classes of antidepressants quantification from human serum using LC-MS/MS |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 08.02.2023 | ||
| 500 | |a Date Revised 17.03.2023 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2023. The Author(s). | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 7 | |a Antidepressive Agents |2 NLM | |
| 650 | 7 | |a Sertraline |2 NLM | |
| 650 | 7 | |a QUC7NX6WMB |2 NLM | |
| 650 | 7 | |a Imipramine |2 NLM | |
| 650 | 7 | |a OGG85SX4E4 |2 NLM | |
| 700 | 1 | |a Deshpande, Prutha S |e verfasserin |4 aut | |
| 700 | 1 | |a Rothkopf, Emma |e verfasserin |4 aut | |
| 700 | 1 | |a Jabrah, Mohannad |e verfasserin |4 aut | |
| 700 | 1 | |a Spooner, Adam |e verfasserin |4 aut | |
| 700 | 1 | |a Okoh, Oluwanifemi David |e verfasserin |4 aut | |
| 700 | 1 | |a Tripathi, Anubhav |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Scientific reports |d 2011 |g 13(2023), 1 vom: 06. Feb., Seite 2115 |w (DE-627)NLM215703936 |x 2045-2322 |7 nnns |
| 773 | 1 | 8 | |g volume:13 |g year:2023 |g number:1 |g day:06 |g month:02 |g pages:2115 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1038/s41598-023-29229-0 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 13 |j 2023 |e 1 |b 06 |c 02 |h 2115 | ||