作者: Deying Chen , Xiaoling Su , Nan Wang , Yunong Li , Hua Yin
DOI: 10.1038/SREP40543
关键词:
摘要: We report a chemical isotope labeling (CIL) liquid chromatography mass spectrometry (LC-MS) method generally applicable for tracking metabolomic changes from samples collected in an animal model studying disease development and treatment. A rat of surgically induced osteoarthritis (OA) was used as example to illustrate the workflow technical performance. Experimental duplicate analyses 234 plasma were carried out using dansylation LC-MS targeting amine/phenol submetabolome. These composed 39 groups (6 rats per group) at multiple time points with sham operation, OA control group, treatment, separately, glucosamine/Celecoxib three traditional Chinese medicines (Epimedii folium, Chuanxiong Rhizoma Bushen-Huoxue). In total, 3893 metabolites could be detected 2923 them consistently more than 50% runs. This high-coverage submetabolome dataset track progression Many differentiating found 11 including 2-aminoadipic acid, saccharopine GABA selected potential biomarkers study illustrates that CIL is very useful technique monitoring incremental high coverage accuracy treatment models.