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Serum Wisteria floribunda agglutinin-positive Mac-2-binding protein expression predicts disease severity in chronic hepatitis C patients
- Source :
- Kaohsiung Journal of Medical Sciences, Vol 33, Iss 8, Pp 394-399 (2017)
- Publication Year :
- 2017
- Publisher :
- Wiley, 2017.
-
Abstract
- Wisteria floribunda agglutinin-positive Mac-2 binding protein (WFA+-M2BP) has recently been developed as a promising liver fibrosis glyco biomarker. We assessed its efficacy in evaluating liver disease severity in chronic hepatitis C (CHC) in Taiwan. The association between WFA+-M2BP and histological features was evaluated among those CHC patients underwent liver biopsy. We also aimed to clarify the factors determining the performance of WFA+-M2BP in CHC. A total of 229 CHC patients were consecutively recruited. The mean value of WFA+-M2BP in patients from F0 to F4 was 1.68, 2.23, 3.45, 3.48, 3.77 respectively (linear trend P = 0.008). Linear regression analysis revealed that alanine aminotransferase (odds ratio [OR]: 0.03, 95% confidence intervals [CI]: 0.02–0.05, P
- Subjects :
- Liver Cirrhosis
Male
Receptors, N-Acetylglucosamine
Pathology
Gene Expression
Hepacivirus
medicine.disease_cause
Severity of Illness Index
Gastroenterology
Liver disease
0302 clinical medicine
Fibrosis
lcsh:R5-920
Membrane Glycoproteins
biology
medicine.diagnostic_test
Hepatitis C virus
Alanine Transaminase
General Medicine
Middle Aged
Prognosis
Wisteria floribunda
Liver
030220 oncology & carcinogenesis
Liver biopsy
Biomarker (medicine)
Female
030211 gastroenterology & hepatology
Plant Lectins
lcsh:Medicine (General)
Protein Binding
Adult
medicine.medical_specialty
Adolescent
Liver fibrosis
Sensitivity and Specificity
03 medical and health sciences
Antigens, Neoplasm
Internal medicine
medicine
Humans
Aged
Platelet Count
business.industry
M2BP
Odds ratio
Hepatitis C, Chronic
medicine.disease
biology.organism_classification
Confidence interval
Linear Models
business
Biomarkers
gamma-Glutamylcyclotransferase
Subjects
Details
- ISSN :
- 1607551X
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- The Kaohsiung Journal of Medical Sciences
- Accession number :
- edsair.doi.dedup.....01d7055bd0ebbdb8b7aea61637808629
- Full Text :
- https://doi.org/10.1016/j.kjms.2017.05.017