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研究生: 呂湘婷
Lu, Hsiang-Ting
論文名稱: 建立非標的代謝體質譜分析程序鑑定新興精神活性物質之代謝物並以4-MeO-α-PVP為例進行概念驗證
Developing a general procedure for identifying metabolites of new psychoactive substances employing mass spectrometry-based untargeted metabolomics using 4-MeO-α-PVP as an example to demonstrate proof-of-concept
指導教授: 廖寶琦
Liao, Pao-Chi
學位類別: 碩士
Master
系所名稱: 醫學院 - 環境醫學研究所
Department of Environmental and Occupational Health
論文出版年: 2019
畢業學年度: 107
語文別: 英文
論文頁數: 39
中文關鍵詞: 新興精神活性物質非標的代謝體學超高效液相層析質譜儀
外文關鍵詞: New psychoactive substance, untargeted metabolomics, ultra-performance liquid chromatography-mass spectrometry
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  • 近年來,新興精神活性物質(NPS)藉由結構上微小修飾的改變,造成法庭科學鑑定其代謝物的一大挑戰。由於NPS的快速發展,發展一套代謝物鑑定的策略是迫切需要的。此研究的目的即為以超高效液相層析質譜儀(UPLC-MS)為基礎發展一道非標的代謝體質譜分析程序鑑定新興精神活性物質之代謝物並以4-MeO-α-PVP為例進行概念驗證。取六個濃度(0, 1, 2, 5, 10, 20 uM)的4-MeO-α-PVP各五重複,利用人類肝臟酵素S9進行溫育產生代謝物以UPLC-MS進行質譜分析。共有48個候選代謝物的訊號經由正交最小平方區別分析法(OPLS-DA)及斯皮爾曼分析(Spearman analysis)從複雜的質譜訊號庫(質譜訊號數平均20934個)中被過濾出來,並且這些訊號的峰面積與4-MeO-α-PVP藥物濃度呈現高度正相關(r>0.9, Q<0.001)。在這些被過濾出來的訊號中,共有40個可能的代謝物在不同溫育時間的樣本中得到驗證,其訊號強度隨著溫育時間增加而隨之增加;其中有8個代謝物與文獻吻合,有11個未被報導過的代謝物經由串聯式質譜分析被鑑定出來。根據上述結果,這道所提出的程序應用在鑑定NPS的代謝物,並成功利用4-MeO-α-PVP為例進行此方法的概念驗證。

    New psychoactive substances (NPS) are continuously developed with minor modification, posing a challenge to identify their metabolites in forensic science. Due to the rapid emergence of NPS, a strategy for fast metabolite identification is essential. The specific aim of this study is to develop a procedure to identify the metabolites of NPS employing ultra-performance liquid chromatography-mass spectrometry (UPLC-MS)-based untargeted metabolomic data processing approach, using an emerging NPS, 4-methoxy-α-pyrrolidinovalerophenone (4-MeO-α-PVP), as an example to demonstrate proof-of-concept and applicability. Six levels of 4-MeO-α-PVP (0, 1, 2, 5, 10 and 20 μM, n=5 for each concentration) were incubated with human liver enzyme S9 fraction to generate metabolites and the resulting samples were analyzed by UPLC-MS. There were 48 metabolite candidates filtered from the complex MS dataset (# of average MS peaks =20934) using orthogonal partial least squares-discriminant analysis (OPLS-DA) and Spearman analysis, demonstrating high positive spearman correlations (r>0.9, Q<0.001) between 4-MeO-α-PVP concentrations and peak abundances. Among these filtered signals, there were 40 candidates verified with time-dependence experiment, eight of which were consistent with previously reported; 11 were elucidated by tandem MS (MS/MS) and not identified before. The proposed procedure is successfully applied to identify an emerging NPS metabolites according to the 19 identified metabolites of 4-MeO-α-PVP mentioned above.

    摘要 I Abstract II Content III List of table IV List of figures IV Abbreviation V Chapter 1. Introduction 1 1.1 Introduction of emerging new psychoactive substances 1 1.2 Metabolites as a proof of corresponding drug consumption 2 1.3 Approaches and limitations for analyzing metabolites of NPS 3 1.4 Application of untargeted metabolomics for emerging NPS 4 Chapter 2. Objective 6 Chapter 3. Material and method 7 3.1 Chemical and reagents 7 3.2 Experiment section 7 3.3 Metabolomics-based data processing 9 3.4 Chemical structure identification 10 Chapter 4. Result and discussion 11 4.1 Overview of the strategy 11 4.2 Identification of metabolite candidates (Stage I) 13 4.3 Verification of metabolite candidates (Stage II) 19 4.4 Structural elucidation of metabolite candidates (Stage III) 21 4.5 Proposed metabolic transformation of 4-MeO-α-PVP 34 Chapter 5. Conclusion and prospects 37 References 38

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