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Gandhi AS, Budac D, Khayrullina T, et al. Quantitative analysis of lipids: a higher-throughput LC-MS/MS-based method and its comparison to ELISA. Future Sci OA. 2017;3(1):FSO157doi: 10.4155/fsoa-2016-0067.
Gandhi, A. S., Budac, D., Khayrullina, T., Staal, R., & Chandrasena, G. (2017). Quantitative analysis of lipids: a higher-throughput LC-MS/MS-based method and its comparison to ELISA. Future science OA, 3(1), FSO157. https://doi.org/10.4155/fsoa-2016-0067
Gandhi, Adarsh S, et al. "Quantitative analysis of lipids: a higher-throughput LC-MS/MS-based method and its comparison to ELISA." Future science OA vol. 3,1 (2017): FSO157. doi: https://doi.org/10.4155/fsoa-2016-0067
Gandhi AS, Budac D, Khayrullina T, Staal R, Chandrasena G. Quantitative analysis of lipids: a higher-throughput LC-MS/MS-based method and its comparison to ELISA. Future Sci OA. 2017 Jan 16;3(1):FSO157. doi: 10.4155/fsoa-2016-0067. eCollection 2017 Mar. PMID: 28344822; PMCID: PMC5351511.
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Future Sci OA. 2017 Jan 16;3(1):FSO157. doi: 10.4155/fsoa-2016-0067. eCollection 2017 Mar.

Quantitative analysis of lipids: a higher-throughput LC-MS/MS-based method and its comparison to ELISA.

Future science OA

Adarsh S Gandhi, David Budac, Tanzilya Khayrullina, Roland Staal, Gamini Chandrasena

Affiliations

  1. Molecular Pharmacology, Bioanalysis & Operations, Lundbeck Research USA, 215 College Road, Paramus, NJ, USA; Molecular Pharmacology, Bioanalysis & Operations, Lundbeck Research USA, 215 College Road, Paramus, NJ, USA.
  2. Neuroinflammation Disease Biology Unit, In Vitro Biology, Lundbeck Research USA, 215 College Road, Paramus, NJ, USA; Neuroinflammation Disease Biology Unit, In Vitro Biology, Lundbeck Research USA, 215 College Road, Paramus, NJ, USA.

PMID: 28344822 PMCID: PMC5351511 DOI: 10.4155/fsoa-2016-0067

Abstract

AIM: Lipids such as prostaglandins, leukotrienes and thromboxanes are released as a result of an inflammatory episode in pain (central and peripheral).

METHODOLOGY & RESULTS: To measure these lipids as potential mechanistic biomarkers in neuropathic pain models, we developed a higher-throughput LC-MS/MS-based method with simultaneous detection of PGE2, PGD2, PGF2α, LTB4, TXB2 and 2-arachidonoyl glycerol in brain and spinal cord tissues. We also demonstrate that the LC-MS/MS method was more sensitive and specific in differentiating PGE2 levels in CNS tissues compared with ELISA.

CONCLUSION: The ability to modify the LC-MS/MS method to accommodate numerous other lipids in one analysis, demonstrates that the presented method offers a cost-effective and more sensitive alternative to ELISA method useful in drug discovery settings.

Keywords: ELISA; LC–MS/MS; higher-throughput; lipids; neuropathic pain

Conflict of interest statement

Financial & competing interests disclosure This work was supported by internal budget of Lundbeck Research Inc. USA as part of the CNS drug discovery program. The authors have no other relevant affili

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