A LC-MS-Based Method for Quantification of Biomarkers from Serum of Allergic RatsReportar como inadecuado

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School of Chinese Materia Medica, Beijing University of Chinese Medicine, No.6, Zhonghuan South Road, Wangjing, Chaoyang district, Beijing 100102, China


Science and Technology Development Center for Traditional Chinese Medicine in Beijjing University of Chinese Medicine, No.11, East 3rd Ring Road, Chaoyang District, Beijing, 100029,China


Authors to whom correspondence should be addressed.

Abstract Allergies are highly complex disorders with clinical manifestations ranging from mild oral, gastrointestinal, recurrent wheezing, and cutaneous symptoms to life-threatening systemic conditions. The levels of arachidonic acid, eicosanoids, histamine, organic acids and valine are considered to have a variety of physiological functions in connection with allergies. In this research, we have developed a RP-LC-MS method to separate and quantitate six different potential endogenous biomarkers, including leukotrieneB4 LTB4, prostaglandinD2 PGD2, arachidonic acid AA, histamine HI, lactic acid LA and valine VAL, from serum of rats with ovalbumin OVA-induced allergy and normal rats, and the discrepancies between the model group and the control group were compared. The separation was performed on a Prevail C18 column 250 mm × 4.6 mm, 5 μm with a gradient elution of acetonitrile with 0.1% formic acid v-v and 10 mM ammonium formate adjusted to pH 4.0 with formic acid at a flow rate of 0.5 mL min−1 The method was validated and shown to be sensitive, accurate recovery values 76.16–92.57% and precise RSD 10% for all compounds with a linear range over several orders of magnitude. The method was successfully applied to rat serum and shown to be indicative of the endogenous levels of biomarkers within the rat body. The analysis of the biomarkers can provide insight into the allergic mechanisms associated with related diseases.

Keywords: LC-MS-MS; biomarker; serum; allergic rats LC-MS-MS; biomarker; serum; allergic rats

Autor: Yu Jing Bai 1, Xiao Yan Gao 2, Jian Qiu Lu 2,* and Hong Gui Zhang 1,*

Fuente: http://mdpi.com/


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