We have located links that may give you full text access.
JOURNAL ARTICLE
RESEARCH SUPPORT, NON-U.S. GOV'T
Influence of alcohol use, ethnicity, age, gender, BMI and smoking on the serum transferrin glycoform pattern: implications for use of carbohydrate-deficient transferrin (CDT) as alcohol biomarker.
BACKGROUND: An alcohol-induced change in the serum transferrin glycoform pattern, carbohydrate-deficient transferrin (CDT), is used as a biomarker for detection and follow-up of heavy alcohol consumption. Besides studying the effects of drinking, this study evaluated any baseline differences in the transferrin pattern in relation to ethnicity, age, gender, body mass index (BMI) and smoking, as these could be confounders causing bias in CDT testing.
METHODS: The transferrin glycoform pattern was determined in 1387 sera (68% men, 32% women) collected in Australia, Brazil, Canada, Finland and Japan from subjects classified as non-drinkers, light/moderate drinkers, or heavy drinkers by use of the WHO/ISBRA Interview Schedule. The iron-saturated glycoforms were separated by an HPLC candidate reference method, and the relative amounts of individual glycoforms to total transferrin were determined.
RESULTS: In non-drinkers, the differences in the serum transferrin glycoform pattern in relation to ethnicity, age, gender and BMI were small and mostly not statistically significant. A higher disialotransferrin level in smokers compared with non-smokers could largely be explained by a higher alcohol intake in smokers. In the drinking subgroups, the main CDT glycoform disialotransferrin showed a positive correlation (r=0.80) with asialotransferrin, and disialo- and asialotransferrin a negative correlation with tetrasialotransferrin, that was dependent on the alcohol consumption level.
CONCLUSIONS: With respect to CDT testing, the results indicated that adjustment of reference intervals for disialotransferrin and CDT in relation to ethnicity, age, gender, BMI and smoking is not required.
METHODS: The transferrin glycoform pattern was determined in 1387 sera (68% men, 32% women) collected in Australia, Brazil, Canada, Finland and Japan from subjects classified as non-drinkers, light/moderate drinkers, or heavy drinkers by use of the WHO/ISBRA Interview Schedule. The iron-saturated glycoforms were separated by an HPLC candidate reference method, and the relative amounts of individual glycoforms to total transferrin were determined.
RESULTS: In non-drinkers, the differences in the serum transferrin glycoform pattern in relation to ethnicity, age, gender and BMI were small and mostly not statistically significant. A higher disialotransferrin level in smokers compared with non-smokers could largely be explained by a higher alcohol intake in smokers. In the drinking subgroups, the main CDT glycoform disialotransferrin showed a positive correlation (r=0.80) with asialotransferrin, and disialo- and asialotransferrin a negative correlation with tetrasialotransferrin, that was dependent on the alcohol consumption level.
CONCLUSIONS: With respect to CDT testing, the results indicated that adjustment of reference intervals for disialotransferrin and CDT in relation to ethnicity, age, gender, BMI and smoking is not required.
Full text links
Related Resources
Trending Papers
Heart failure with preserved ejection fraction: diagnosis, risk assessment, and treatment.Clinical Research in Cardiology : Official Journal of the German Cardiac Society 2024 April 12
Proximal versus distal diuretics in congestive heart failure.Nephrology, Dialysis, Transplantation 2024 Februrary 30
Efficacy and safety of pharmacotherapy in chronic insomnia: A review of clinical guidelines and case reports.Mental Health Clinician 2023 October
World Health Organization and International Consensus Classification of eosinophilic disorders: 2024 update on diagnosis, risk stratification, and management.American Journal of Hematology 2024 March 30
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app