madman
Super Moderator
Novel Algorithm for Free testosterone Determination
ABSTRACT
- the current methods for the determination of free testosterone- equilibrium dialysis, ultrafiltration, tracer analog methods, and the use of algorithms based on the LAW-OF-MASS-ACTION- suffer from problems of imprecision or inaccuracy
- equilibrium dialysis method, widely considered the reference method, is labor-intensive and cumbersome, and susceptible to errors due to tracer impurities, leading the Endocrine Society's Expert Panel to conclude that " the calculation of free testosterone is the most useful estimate of free testosterone in plasma"
- therefore, algorithms for calculating free testosterone concentrations from total testosterone, SHBG and albumin concentrations using the law-of-mass-action equations have been used widely
- our preliminary data show that the current model of homogenous testosterone binding sites on SHBG- the conceptual basis of the extent law-of-mass-action equations- is erroneous, and that the free testosterone concentrations derived from the available law-of-mass-action equations differ substantially from those measured by equilibrium dialysis
- because of these limitations of the available methods, there is an enormous unmet need for an accurate method to determine free testosterone concentrations that can be applied conveniently in clinical practice
- new evidence shows that testosterone's binding to SHBG conforms to an Ensemble Allostery Model (EAM)
- based on this new EAM model of testosterone binding to SHBG, we have constructed a novel algorithm for calculating free testosterone levels that provide excellent conformity with values determined by equilibrium dialysis
- this Phase I SBIR application aims to characterize the technical performance of the novel algorithm by determining its precision, accuracy, functional sensitivity, intra-and inter-assay variation, and specifity, stability, and matrix effect (AIM 1)
AIM 2- will incorporate SHB genotype in the algorithm and apply it to men with different SHBG genotypes
AIM 3- will characterize the performance of the assay in young and older men and women, and in obese men with alterations in SHBG concentrations
Project Start 2014-09-15
Project End 2015-08-31
http://grantome.com/grant/NIH/R43-AG045011-01A1
ABSTRACT
- the current methods for the determination of free testosterone- equilibrium dialysis, ultrafiltration, tracer analog methods, and the use of algorithms based on the LAW-OF-MASS-ACTION- suffer from problems of imprecision or inaccuracy
- equilibrium dialysis method, widely considered the reference method, is labor-intensive and cumbersome, and susceptible to errors due to tracer impurities, leading the Endocrine Society's Expert Panel to conclude that " the calculation of free testosterone is the most useful estimate of free testosterone in plasma"
- therefore, algorithms for calculating free testosterone concentrations from total testosterone, SHBG and albumin concentrations using the law-of-mass-action equations have been used widely
- our preliminary data show that the current model of homogenous testosterone binding sites on SHBG- the conceptual basis of the extent law-of-mass-action equations- is erroneous, and that the free testosterone concentrations derived from the available law-of-mass-action equations differ substantially from those measured by equilibrium dialysis
- because of these limitations of the available methods, there is an enormous unmet need for an accurate method to determine free testosterone concentrations that can be applied conveniently in clinical practice
- new evidence shows that testosterone's binding to SHBG conforms to an Ensemble Allostery Model (EAM)
- based on this new EAM model of testosterone binding to SHBG, we have constructed a novel algorithm for calculating free testosterone levels that provide excellent conformity with values determined by equilibrium dialysis
- this Phase I SBIR application aims to characterize the technical performance of the novel algorithm by determining its precision, accuracy, functional sensitivity, intra-and inter-assay variation, and specifity, stability, and matrix effect (AIM 1)
AIM 2- will incorporate SHB genotype in the algorithm and apply it to men with different SHBG genotypes
AIM 3- will characterize the performance of the assay in young and older men and women, and in obese men with alterations in SHBG concentrations
Project Start 2014-09-15
Project End 2015-08-31
http://grantome.com/grant/NIH/R43-AG045011-01A1
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