Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, PR China.
Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, PR China.
J Pharm Biomed Anal. 2018 Jan 30;148:80-88. doi: 10.1016/j.jpba.2017.09.024. Epub 2017 Sep 22.
Because of the complicated chemical composition of Traditional Chinese Medicines, their chemical profile study has been a great challenge. In the present work, a homologues prediction strategy for rapid screening and identification of C steroids in Xiao-ai-ping injection was developed by using an ultra high performance liquid chromatography coupled with high resolution hybrid quadrupole-orbitrap mass spectrometry. This strategy was characterized by the design of C steroidal skeleton, substituent group and glycan chain in an orderly way, which could quickly and efficiently screen the interested precursor ions. As a result, a total of 95C steroids including 47 potential new ones were identified or tentatively identified, which greatly expanded our knowledge of C steroids in Xiao-ai-ping injection. The results indicated that the homologues prediction strategy not only provided an efficient technique to screen and identify target constituents, but also offered a new perspective for discovery new components in Traditional Chinese Medicines.
由于中药的化学成分复杂,其化学特征研究一直是一个巨大的挑战。在本工作中,建立了一种同系物预测策略,用于快速筛选和鉴定消癌平注射液中的 C 甾体。该策略的特点是有序设计 C 甾体骨架、取代基和糖链,能够快速有效地筛选出感兴趣的前体离子。结果,共鉴定或初步鉴定了 95 种 C 甾体,其中包括 47 种潜在的新化合物,极大地扩展了我们对消癌平注射液中 C 甾体的认识。结果表明,同系物预测策略不仅为筛选和鉴定目标成分提供了一种有效的技术,而且为发现中药中的新成分提供了新的视角。