Comparative Analysis for Glycopatterns and Complex-Type N-Glycans of Glycoprotein in Sera from Chronic Hepatitis B-

Xinmin Qin1, Yonghong Guo2, Haoqi Du1

  • 1Laboratory for Functional Glycomics, College of Life Sciences, Northwest UniversityXi'an, China.

Frontiers in Physiology
|September 6, 2017
PubMed

Insights

This study reveals distinct serum glycoprotein glycopatterns in chronic hepatitis B (CHB) and chronic hepatitis C (CHC) patients. These glycopattern differences may serve as novel biomarkers for distinguishing between CHB and CHC infections.

Area of Science:

  • Biochemistry
  • Hepatology
  • Glycomics

Background:

  • Chronic hepatitis B (CHB) and chronic hepatitis C (CHC) are leading causes of cirrhosis and hepatocellular carcinoma.
  • Distinct pathogenic processes underlie CHB and CHC infections.
  • Serum glycoprotein glycopattern differences between CHB and CHC patients remain largely uncharacterized.

Purpose of the Study:

  • To investigate and compare serum glycoprotein glycopatterns between CHB and CHC patients.
  • To identify potential glycan-based biomarkers for differentiating CHB from CHC.

Main Methods:

  • Utilized lectin microarrays and lectin-mediated affinity capture for serum glycoprotein analysis.
  • Employed MALDI-TOF/TOF-MS to identify specific glycan structures.
  • Validated findings using lectin blotting and compared glycopatterns across CHB, CHC, and healthy volunteer groups.

Main Results:

  • Identified unique lectin expression patterns for CHB (e.g., increased HHL, GSL-II, EEL; decreased LCA, VVA, ACA) and CHC (e.g., decreased DBA; increased WGA, SNA).
  • Observed a common increasing trend for LEL and MAL-I in both CHB and CHC patients compared to healthy volunteers.
  • Discovered specific N-glycan profiles, including 3 peaks unique to CHC patients and 5 peaks in virus-infected hepatitis patients compared to healthy volunteers.

Conclusions:

  • Serum glycoprotein glycopatterns exhibit significant, distinct alterations in CHB and CHC.
  • Specific glycan structures and lectin expression levels can differentiate between CHB and CHC.
  • These findings offer valuable insights for developing novel glycopattern-based biomarkers for CHB/CHC diagnosis.

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