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Advancements in Analyzing Tumor Metabolites through Chemical Derivatization-Based Chromatography.
Ye, Lu; Zhang, Hua-Min; Zhou, Bing-Jun; Tang, Weiyang; Zhou, Jian-Liang.
Affiliation
  • Ye L; School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang
  • Zhang HM; School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang
  • Zhou BJ; School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang
  • Tang W; School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang
  • Zhou JL; School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang
J Chromatogr A ; 1706: 464236, 2023 Sep 13.
Article in En | MEDLINE | ID: mdl-37506465
ABSTRACT
Understanding the metabolic abnormalities of tumors is crucial for early diagnosis, prognosis, and treatment. Accurate identification and quantification of metabolites in biological samples are essential to investigate the relationship between metabolite variations and tumor development. Common techniques like LC-MS and GC-MS face challenges in measuring aberrant metabolites in tumors due to their strong polarity, isomerism, or low ionization efficiency during MS detection. Chemical derivatization of metabolites offers an effective solution to overcome these challenges. This review focuses on the difficulties encountered in analyzing aberrant metabolites in tumors, the principles behind chemical derivatization methods, and the advancements in analyzing tumor metabolites using derivatization-based chromatography. It serves as a comprehensive reference for understanding the analysis and detection of tumor metabolites, particularly those that are highly polar and exhibit low ionization efficiency.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tandem Mass Spectrometry / Neoplasms Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Limits: Humans Language: En Journal: J Chromatogr A Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tandem Mass Spectrometry / Neoplasms Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Limits: Humans Language: En Journal: J Chromatogr A Year: 2023 Document type: Article