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Applications of HP-CIL Metabolomics Technology: Advances and Future Perspectives

  • Jia Li 1,   
  • Cheng Chen 1,   
  • Xingyu Wang 1,   
  • Xi Chen 1,   
  • Jingjing Zhan 1,   
  • Shuang Zhao 1,2,   
  • Liang Li 2,3,*

Received: 20 Aug 2025 | Revised: 29 Sep 2025 | Accepted: 15 Oct 2025 | Published: 04 Jan 2026

Abstract

Metabolomics plays a vital role in analyzing small-molecule dynamics as well as in disease diagnosis and biomarker identification within biological systems. However, challenges persist, including low detection sensitivity for low-abundance metabolites, uncertain identification, and inadequate data standardization. The High-Performance Chemical Isotope Labeling (HP-CIL) technique employs a dual 12C/13C labeling strategy, combined with targeted derivatization of functional groups such as amino, phenolic, and carboxyl groups. This approach not only optimizes chromatographic separation efficiency but also enhances electrospray ionization signals, achieving 10 to 1000-fold improvements in the detection sensitivity of polar metabolites. The technology helps mitigate ion suppression and quantitative instability in traditional metabolomics methods. HP-CIL technology, leveraging isotope internal standard correction and three-tier database integration, improves the identification and quantification of trace samples in complex matrices. In the medical field, through analysis of urine, blood, and saliva samples, this technology demonstrates broad application potential in oncology, neurodegenerative diseases, cardiovascular disorders, immunology, and drug development. In sports science, it can characterize the dynamic changes in the tricarboxylic acid cycle during endurance exercise. For fermented food analysis, it contributes to the optimization of low-salt fermentation processes. In gut microbiota research, it detects short-chain fatty acids overlooked by traditional methods, revealing associations between dietary fiber intake and host health. Moving forward, through deep integration with multi-omics technologies like genomics and transcriptomics, HP-CIL is expected to support the development of precision medicine and personalized treatment strategies, potentially bridging basic research and clinical applications.

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DOI
10.53941/hm.2026.100001
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Volume 3, Issue 1
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Li, J.; Chen, C.; Wang, X.; Chen, X.; Zhan, J.; Zhao, S.; Li, L. Applications of HP-CIL Metabolomics Technology: Advances and Future Perspectives. Health and Metabolism 2026, 3 (1), 1. https://doi.org/10.53941/hm.2026.100001.
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