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<p>Highly sensitive and selective monitoring of amino metabolites such as glutamine, arginine, tryptophan and related proteins played significant roles in early diagnosis and warning of lymphoma. But those limited abundance and lacked chromophore group in vivo were bottleneck of multivariate analysis. This work aims to develop a novel UHPLC-Triple-TOF-HRMS method for simultaneous quantitation of 20 kinds of amino metabolites and tracing different proteins based on a new mass spectrometry probe (3-bromopropyl) triphenylphosphonium (3-BMP) with ability of enhance ionization efficiency and targeted labeling amino functional groups. An excellent linearity with R<sup>2</sup> ≥ 0.9995 and inter- and intra-day RSD were 1.43-5.22% and 1.22-5.87%, respectively. Satisfactory recoveries were 87.09-95.82%. Limit of detection (S/<i>N</i> = 3) was 4.0–12.0 fmol. Further, up-regulated haptoglobin, coagulation factor VII and catalase could directly negatively regulate Ala, Lys and Phe, which caused Trp, His, Ser, Asp and Pro expression decreased significantly in lymphoma patients (<i>p</i> &lt; 0.05). Ultimately, a machine learning model was established to predict lymphoma with accuracy rate of 93.68%. Above all, this study would provide multivariate analysis strategy for in-depth explore relationship aminos associated proteins and pathogenesis and helpful for early warning of lymphoma patients under free-disease state.</p>

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A novel UHPLC-HRMS method for simultaneous determination of 20 amino metabolites and proteins in lymphoma patients’ cells and serum

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月1日

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  • Zhang Mei,
  • Ma Qingkun,
  • Zhao Han,
  • Sun Ge,
  • Zhao Tenghua,
  • Wang Yuqing,
  • Chen Shiji,
  • Jia Lele,
  • Song Yixiang,
  • Mu Yanling

摘要

Highly sensitive and selective monitoring of amino metabolites such as glutamine, arginine, tryptophan and related proteins played significant roles in early diagnosis and warning of lymphoma. But those limited abundance and lacked chromophore group in vivo were bottleneck of multivariate analysis. This work aims to develop a novel UHPLC-Triple-TOF-HRMS method for simultaneous quantitation of 20 kinds of amino metabolites and tracing different proteins based on a new mass spectrometry probe (3-bromopropyl) triphenylphosphonium (3-BMP) with ability of enhance ionization efficiency and targeted labeling amino functional groups. An excellent linearity with R2 ≥ 0.9995 and inter- and intra-day RSD were 1.43-5.22% and 1.22-5.87%, respectively. Satisfactory recoveries were 87.09-95.82%. Limit of detection (S/N = 3) was 4.0–12.0 fmol. Further, up-regulated haptoglobin, coagulation factor VII and catalase could directly negatively regulate Ala, Lys and Phe, which caused Trp, His, Ser, Asp and Pro expression decreased significantly in lymphoma patients (p < 0.05). Ultimately, a machine learning model was established to predict lymphoma with accuracy rate of 93.68%. Above all, this study would provide multivariate analysis strategy for in-depth explore relationship aminos associated proteins and pathogenesis and helpful for early warning of lymphoma patients under free-disease state.