脂质的定量分析：一种基于液相色谱-串联质谱的高通量方法及其与酶联免疫吸附测定法的比较

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

作者信息

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

机构信息

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.

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.

出版信息

Future Sci OA. 2017 Jan 16;3(1):FSO157. doi: 10.4155/fsoa-2016-0067. eCollection 2017 Mar.

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.

目的

诸如前列腺素、白三烯和血栓素等脂质是疼痛（中枢性和外周性）炎症发作的结果。

方法与结果

为了在神经性疼痛模型中测量这些脂质作为潜在的机制生物标志物，我们开发了一种基于高通量液相色谱 - 串联质谱（LC-MS/MS）的方法，可同时检测脑和脊髓组织中的前列腺素E2（PGE2）、前列腺素D2（PGD2）、前列腺素F2α（PGF2α）、白三烯B4（LTB4）、血栓素B2（TXB2）和2-花生四烯酸甘油酯。我们还证明，与酶联免疫吸附测定（ELISA）相比，LC-MS/MS方法在区分中枢神经系统（CNS）组织中PGE2水平方面更灵敏、更特异。