Literature DB >> 17412797

Development and multicenter evaluation of the N latex CDT direct immunonephelometric assay for serum carbohydrate-deficient transferrin.

Joris R Delanghe1, Anders Helander, Jos P M Wielders, J Maurits Pekelharing, Heinz J Roth, François Schellenberg, Catherine Born, Eray Yagmur, Wolfgang Gentzer, Harald Althaus.   

Abstract

BACKGROUND: Carbohydrate-deficient transferrin (CDT) is a promising biomarker of alcohol abuse. We describe the development and multicenter evaluation of N Latex CDT (Dade Behring), an automated, particle-enhanced, homogeneous immunonephelometric assay for directly determining CDT.
METHODS: N Latex CDT uses a monoclonal antibody that recognizes the structure of transferrin glycoforms lacking 1 or 2 complete N-glycans [i.e., disialo-, monosialo-, and asialotransferrins (CDT glycoforms)] in combination with a simultaneous assay for total transferrin. The Dade Behring BN II and BN ProSpec systems automatically calculate the CDT value as a percentage of total transferrin (%CDT). No preanalytical sample treatment is used.
RESULTS: Total imprecision values for serum pools containing 1.8%-8.7% CDT were 3.4%-10.4% (mean, 6.8%). The mean (SD) %CDT for 561 serum samples from healthy control individuals was 1.76% (0.27%; range, 1.01%-2.85%). No marked sex or age differences were noted. The 97.5th percentile was at 2.35%. Transferrin genetic variants did not interfere with measurements. High transferrin concentrations did not falsely increase %CDT values, but increased %CDT values were noted for some samples with transferrin concentrations <1.1 g/L. N Latex CDT results correlated with those of a commercial CDT immunoassay involving column separation (r(2) = 0.862) and an HPLC candidate reference method (r(2) = 0.978).
CONCLUSION: N Latex CDT is the first direct immunoassay for quantifying %CDT in serum. The specificity of N Latex CDT for identifying alcohol abuse may be higher than for immunoassays that use column separation, because transferrin genetic variants do not interfere with measurements.

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Year:  2007        PMID: 17412797     DOI: 10.1373/clinchem.2006.084459

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  6 in total

1.  Genome-wide association study identifies two loci strongly affecting transferrin glycosylation.

Authors:  Zoltán Kutalik; Beben Benyamin; Sven Bergmann; Vincent Mooser; Gérard Waeber; Grant W Montgomery; Nicholas G Martin; Pamela A F Madden; Andrew C Heath; Jacques S Beckmann; Peter Vollenweider; Pedro Marques-Vidal; John B Whitfield
Journal:  Hum Mol Genet       Date:  2011-06-10       Impact factor: 6.150

Review 2.  Alcoholic and non-alcoholic steatohepatitis.

Authors:  Manuela G Neuman; Samuel W French; Barbara A French; Helmut K Seitz; Lawrence B Cohen; Sebastian Mueller; Natalia A Osna; Kusum K Kharbanda; Devanshi Seth; Abraham Bautista; Kyle J Thompson; Iain H McKillop; Irina A Kirpich; Craig J McClain; Ramon Bataller; Radu M Nanau; Mihai Voiculescu; Mihai Opris; Hong Shen; Brittany Tillman; Jun Li; Hui Liu; Paul G Thomes; Murali Ganesan; Steve Malnick
Journal:  Exp Mol Pathol       Date:  2014-09-11       Impact factor: 3.362

3.  Relationships between the Level of Alcohol Consumption and Abnormality in Biomarkers According to Facial Flushing in Korean Male Drinkers.

Authors:  Seong Gu Kim; Jong Sung Kim; Sung Soo Kim; Jin Gyu Jung; Seok Jun Yun; Eo Chin Kim
Journal:  Korean J Fam Med       Date:  2013-03-20

4.  False negativity to carbohydrate-deficient transferrin and drugs: a clinical case.

Authors:  Matteo Vidali; Vincenza Bianchi; Marco Bagnati; Nadia Atzeni; Andrea Marco Bianchi; Giorgio Bellomo
Journal:  Biochem Med (Zagreb)       Date:  2014-02-15       Impact factor: 2.313

5.  Carbohydrate-Deficient Transferrin as a Biomarker for Screening At-Risk Drinking in Elderly Men.

Authors:  Kwangmi Youn; Jong Sung Kim; Sung-Soo Kim; Seok Joon Yoon; Dong-Jin Woo
Journal:  Korean J Fam Med       Date:  2017-09-22

6.  Urinary Ethyl Glucuronide as Measure of Alcohol Consumption and Risk of Cardiovascular Disease: A Population-Based Cohort Study.

Authors:  Inge A T van de Luitgaarden; Ilse C Schrieks; Lyanne M Kieneker; Daan J Touw; Adriana J van Ballegooijen; Sabine van Oort; Diederick E Grobbee; Kenneth J Mukamal; Jenny E Kootstra-Ros; Anneke C Muller Kobold; Stephan J L Bakker; Joline W J Beulens
Journal:  J Am Heart Assoc       Date:  2020-03-21       Impact factor: 5.501

  6 in total

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