Literature DB >> 18420730

Standardization of C-peptide measurements.

Randie R Little1, Curt L Rohlfing, Alethea L Tennill, Richard W Madsen, Kenneth S Polonsky, Gary L Myers, Carla J Greenbaum, Jerry P Palmer, Eduard Rogatsky, Daniel T Stein.   

Abstract

BACKGROUND: C-peptide is a marker of insulin secretion in diabetic patients. We assessed within- and between-laboratory imprecision of C-peptide assays and determined whether serum calibrators with values assigned by mass spectrometry could be used to harmonize C-peptide results.
METHODS: We sent 40 different serum samples to 15 laboratories, which used 9 different routine C-peptide assay methods. We also sent matched plasma samples to another laboratory for C-peptide analysis with a reference mass spectrometry method. Each laboratory analyzed 8 of these samples in duplicate on each of 4 days to evaluate within- and between-day imprecision. The same 8 samples were also used to normalize the results for the remaining samples to the mass spectrometry reference method.
RESULTS: Within- and between-run CVs ranged from <2% to >10% and from <2% to >18%, respectively. Normalizing the results with serum samples significantly improved the comparability among laboratories and methods. After normalization, the differences among laboratories in mean response were no longer statistically significant (P = 0.24), with least-squares means of 0.93-1.02.
CONCLUSIONS: C-peptide results generated by different methods and laboratories do not always agree, especially at higher C-peptide concentrations. Within-laboratory imprecision also varied, with some methods giving much more consistent results than others. These data show that calibrating C-peptide measurement to a reference method can increase comparability between laboratories.

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Year:  2008        PMID: 18420730     DOI: 10.1373/clinchem.2007.101287

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


  31 in total

1.  Harmonisation of Measurement Procedures: how do we get it done?

Authors:  Mary Lou Gantzer; W Greg Miller
Journal:  Clin Biochem Rev       Date:  2012-08

2.  Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus.

Authors:  David B Sacks; Mark Arnold; George L Bakris; David E Bruns; Andrea Rita Horvath; M Sue Kirkman; Ake Lernmark; Boyd E Metzger; David M Nathan
Journal:  Diabetes Care       Date:  2011-06       Impact factor: 19.112

Review 3.  Current practices and challenges in the standardization and harmonization of clinical laboratory tests.

Authors:  Hubert W Vesper; Gary L Myers; W Greg Miller
Journal:  Am J Clin Nutr       Date:  2016-08-17       Impact factor: 7.045

4.  The development and utility of a novel scale that quantifies the glycemic progression toward type 1 diabetes over 6 months.

Authors:  Jay M Sosenko; Jay S Skyler; Craig A Beam; David Boulware; Jeffrey L Mahon; Jeffrey P Krischer; Carla J Greenbaum; Lisa E Rafkin; Della Matheson; Kevan C Herold; Jerry P Palmer
Journal:  Diabetes Care       Date:  2015-03-10       Impact factor: 19.112

5.  C-peptide microheterogeneity in type 2 diabetes populations.

Authors:  Paul E Oran; Jason W Jarvis; Chad R Borges; Randall W Nelson
Journal:  Proteomics Clin Appl       Date:  2009-11-11       Impact factor: 3.494

Review 6.  Implementing a Reference Measurement System for C-Peptide: Successes and Lessons Learned.

Authors:  Randie R Little; Robert I Wielgosz; Ralf Josephs; Tomoya Kinumi; Akiko Takatsu; Hongmei Li; Daniel Stein; Chris Burns
Journal:  Clin Chem       Date:  2017-06-23       Impact factor: 8.327

7.  Transcription Factor 7-Like 2 (TCF7L2) Gene Polymorphism and Progression From Single to Multiple Autoantibody Positivity in Individuals at Risk for Type 1 Diabetes.

Authors:  Maria J Redondo; Andrea K Steck; Jay Sosenko; Mark Anderson; Peter Antinozzi; Aaron Michels; John M Wentworth; Mark A Atkinson; Alberto Pugliese; Susan Geyer
Journal:  Diabetes Care       Date:  2018-10-01       Impact factor: 19.112

8.  Prediagnostic body-mass index, plasma C-peptide concentration, and prostate cancer-specific mortality in men with prostate cancer: a long-term survival analysis.

Authors:  Jing Ma; Haojie Li; Ed Giovannucci; Lorelei Mucci; Weiliang Qiu; Paul L Nguyen; J Michael Gaziano; Michael Pollak; Meir J Stampfer
Journal:  Lancet Oncol       Date:  2008-10-03       Impact factor: 41.316

9.  Single Islet Autoantibody at Diagnosis of Clinical Type 1 Diabetes is Associated With Older Age and Insulin Resistance.

Authors:  Maria J Redondo; Jay Sosenko; Ingrid Libman; Jennifer J F McVean; Mustafa Tosur; Mark A Atkinson; Dorothy Becker; Susan Geyer
Journal:  J Clin Endocrinol Metab       Date:  2020-05-01       Impact factor: 5.958

10.  Elevations in the Fasting Serum Proinsulin-to-C-Peptide Ratio Precede the Onset of Type 1 Diabetes.

Authors:  Emily K Sims; Zunaira Chaudhry; Renecia Watkins; Farooq Syed; Janice Blum; Fangqian Ouyang; Susan M Perkins; Raghavendra G Mirmira; Jay Sosenko; Linda A DiMeglio; Carmella Evans-Molina
Journal:  Diabetes Care       Date:  2016-07-06       Impact factor: 19.112

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