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June 13, 2026Analytical Chemistry

Deep Learning-Driven Saccharide Online Sequencing for Elucidating the Pathological Alterations of Heparan Sulfate in APAP-Induced Acute Liver Injury

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Authors

ZAZizhe AnLCLexin ChenCBChangkai Bu

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Overview

Randomized trial elucidates heparan sulfate alterations in acute liver injury, suggesting new therapeutic possibilities.

Key Points

  • This study aims to elucidate the pathological alterations of heparan sulfate in APAP-induced acute liver injury using a novel sequencing approach.
  • Developed GAG-Explorer software with a deep learning model to predict fragmentation patterns of heparan sulfate oligomers.
  • Applied chemical derivatization-tandem mass spectrometry to sequence the changes in heparan sulfate.
  • Identified sequence alterations in heparan sulfate up to octasaccharides.
  • Successfully decoded sequence changes in heparan sulfate bioactive domain 'GlcA-GlcNS6S'.
  • Elucidated significant alterations in the heparan sulfate structure rather than compositional changes in acute liver injury.

Cite This Study

An et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf688faef96ed7f058437https://doi.org/10.1021/acs.analchem.6c00995
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