Stability of blood analytes after storage in BD SST (TM) tubes for 12 mo
ABSTRACT Objectives: We studied the stability of 33 analytes related to clinical chemistry, bone, and vitamin metabolism, after storage in serum separator tubes (SST (TM)). Design and methods: Blood was collected from 6 subjects using SST tubes. Some serum remained in the tube in contact with the barrier gel and was stored at -80 degrees C for 12 mo. Results: Clinically significant changes Occurred only in 1,25-dihydroxyvitamin D and retinol-binding protein. Conclusions: Freezing SST tubes before sample analysis is a viable option for some analytes.
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Article: Congratulations to the Happy Couple
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ABSTRACT: The GH-2000 project developed a method for detecting GH misuse based on the measurement of insulin-like growth factor-I (IGF-I) and the amino-terminal pro-peptide of type III collagen (P-III-NP). The objective of this study was to develop decision limits for the GH-2000 score to detect GH misuse in elite athletes using two currently available commercial assays for each analyte. Subjects: 404 male (mean age 23.9 yrs, range 12-37 yrs) and 94 female elite athletes (mean age 24.5 yrs, range 18-34 yrs) participated. Blood samples were collected according to World Anti-Doping Agency (WADA) guidelines at various sporting events including 238 samples collected as part of the UK Anti-Doping Testing Programme. Laboratory analysis: IGF-I was measured by Siemens Immulite IGF-I assay and Immunotech A15729 IGF-I IRMA. P-III-NP was measured by RIA-gnost P-III-P and the UniQ™ PIIINP RIA. Statistical analysis: The GH-2000 score decision limits were developed through the analysis of the elite athlete samples. For males and females separately, the distributions of GH-2000 scores were consistent with Normal distributions. Using a specificity of 99.99% new decision limits were determined which included an allowance for uncertainty associated with calculations based on a finite sample size. One outlier was identified with results incompatible with normal physiology and tested positive with the current isoform GH test. We have developed decision limits using currently available commercial assays to measure IGF-I and P-III-NP in elite athletes. This should allow the introduction of a test for GH misuse based on the measurement of these GH sensitive biomarkers.Growth hormone & IGF research: official journal of the Growth Hormone Research Society and the International IGF Research Society 02/2012; 22(2):53-8. DOI:10.1016/j.ghir.2011.12.005 · 1.33 Impact Factor
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ABSTRACT: To assess a wide spectrum of biochemical markers (biomarkers) in a large cohort of individuals with (very) early symptomatic knee and/or hip osteoarthritis (OA). Secondly, to investigate associations between biomarkers and between biomarkers and demographics to demonstrate validity of the obtained dataset and further investigate the involvement and/or role of these biomarkers in OA. Fourteen biomarkers (uCTX-II, uCTX-I, uNTX-I, sCOMP, sPIIANP, sCS846, sC1,2C, sOC, sPINP, sHA, sPIIINP, pLeptin, pAdiponectin, pResistin) were assessed by ELISA or RIA in CHECK (Cohort Hip and Cohort Knee), a 10-year prospective cohort of 1,002 individuals with early symptomatic knee and/or hip OA. Quality controls revealed that gathered data were technically reliable. The majority of biomarkers showed relevant associations with demographic variables, which were expectedly different between genders and/or menopausal status for some. Principal component analysis enabled identification of five clusters, consecutively designated as 'bone-CTX-II', 'inflammation', 'synovium', 'C1,2C-adipokines', and 'cartilage synthesis' cluster. Notably, uCTX-II clustered with biomarkers of bone metabolism, while sCOMP clustered with biomarkers of synovial activity. The identified clusters extended knowledge on individual biomarkers from mostly smaller studies as did the observed associations between biomarker levels and demographics, from which validity of our data was deduced. uCTX-II may not only reflect articular cartilage but also bone metabolism and sCOMP may reflect synovial rather than cartilage metabolism. Major involvement of adipokines in joint metabolism was not identified.Osteoarthritis and Cartilage 04/2012; 20(7):745-54. DOI:10.1016/j.joca.2012.04.004 · 4.66 Impact Factor