A high-throughput <i>N</i> -glycan analysis strategy with targeted mass spectrometry (HTnGQs-target) for liver disease diagnosis

Hepatocellular carcinoma (HCC), a global leading cause of cancer-related mortality, is critically hindered by delayed diagnosis due to the lack of sensitive early biomarkers. Alterations in <i>N</i>-glycan composition and structure, which are closely associated with HCC pathogenesis, hold great promise for early detection; however, conventional mass spectrometry-based glycomic methods are limited by low sample throughput. To address this, we developed HTnGQs-target-a high-throughput targeted mass spectrometry approach integrating methylamine derivatization and 6-plex aminoxy TMT labeling. This approach enables robust quantitative analysis of up to 144 serum samples per day with high sensitivity and reproducibility. Applied to a cohort of 320 serum samples encompassing the full spectrum of liver disease-from healthy controls to chronic hepatitis B (CHB), liver cirrhosis, and HCC-our targeted MS method identified a novel panel of <i>N</i>-glycan biomarkers that effectively discriminates between benign and malignant stages. Furthermore, isomer-specific analysis revealed 12 sialylated <i>N</i>-glycan isomers with significant differential expression, further enhancing diagnostic specificity and underscoring the potential for clinical application in early HCC detection.

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Publication Details

Journal
Chemical Science
Published
2025-11-04
DOI
https://doi.org/10.1039/d5sc06867c
Citations
1
Primary Topic
Glycosylation and Glycoproteins Research
Type
article
Field-Weighted Citation Impact
0.81

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article

A high-throughput N -glycan analysis strategy with targeted mass spectrometry (HTnGQs-target) for liver disease diagnosis

Jierong Chen, San-Feng Han, Ying Zhang, Xuejiao Liu et al.
1 citations
Chemical Science
Glycosylation and Glycoproteins Research
0.81
article

A high-throughput N -glycan analysis strategy with targeted mass spectrometry (HTnGQs-target) for liver disease diagnosis

Jierong Chen, San-Feng Han, Ying Zhang, Xuejiao Liu, Bin Fu, Haojie Lu, Dongdong Zheng
article en
1 citations

Abstract

Hepatocellular carcinoma (HCC), a global leading cause of cancer-related mortality, is critically hindered by delayed diagnosis due to the lack of sensitive early biomarkers. Alterations in <i>N</i>-glycan composition and structure, which are closely associated with HCC pathogenesis, hold great promise for early detection; however, conventional mass spectrometry-based glycomic methods are limited by low sample throughput. To address this, we developed HTnGQs-target-a high-throughput targeted mass spectrometry approach integrating methylamine derivatization and 6-plex aminoxy TMT labeling. This approach enables robust quantitative analysis of up to 144 serum samples per day with high sensitivity and reproducibility. Applied to a cohort of 320 serum samples encompassing the full spectrum of liver disease-from healthy controls to chronic hepatitis B (CHB), liver cirrhosis, and HCC-our targeted MS method identified a novel panel of <i>N</i>-glycan biomarkers that effectively discriminates between benign and malignant stages. Furthermore, isomer-specific analysis revealed 12 sialylated <i>N</i>-glycan isomers with significant differential expression, further enhancing diagnostic specificity and underscoring the potential for clinical application in early HCC detection.

Chemical ScienceVol. 17(1)
Fudan University (CN), Fudan University Shanghai Cancer Center (CN), Zhongshan Hospital (CN), Guangdong Academy of Medical Sciences (CN), Obstetrics and Gynecology Hospital of Fudan University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 21%
Glycosylation and Glycoproteins Research
0.81
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