An examination of the characteristics, concentration and distribution of androgen receptor in rat testis during sexual maturation

Previously reported androgen receptor concentrations in rat testis and testicular cell types have varied widely. In the studies reported here a nuclear exchange assay was established in rat testis in which exchange after 86 hours at 4$\sp\circ$C was greater than 85% complete and receptor was stable. Receptor concentration per DNA measured by exchange declined between 15 and 25 days of age in the rat testis, then increased 4-fold during sexual maturation. Proliferation of germ cells which had low receptor concentration appeared to account for the early decline in testicular receptor concentration, whereas increase in receptor number per Sertoli cell between 25 and 35 days of age contributed to the later increase. Increase in Leydig cell number during maturation appeared to account for the remainder of the increase due to the high receptor concentration in these cells. Detailed studies showed that other possible explanations for changes in receptor number (e.g. shifts in receptor concentration between the cytosol and nuclear subcellular compartments or changes in the affinity of the receptor for its ligands) were not likely.^ Androgen receptor dynamics in testicular cells showed rapid, specific uptake of ($\sp3$H) -testosterone that was easily blocked by unlabeled testosterone (RA of 7 nM in both cell types), and medroxyprogesterone acetate (RA of 28 and 16 nM in Sertoli and peritubular cells, respectively), but not as well by the anti-androgens cyproterone acetate (RA of 116 and 68 nM) and hydroxyflutamide (RA of 300 and 180 nM). The affinity of the receptor for the ligand dimethylnortestosterone was similar in the two cell types (K$\rm\sb{d}$ values of 0.78 and 0.71 nM for Sertoli and peritubular cells) and was virtually identical with the affinity of the whole testis receptor (0.89 nM). Medroxyprogesterone acetate and testosterone significantly increased nuclear androgen receptor concentration relative to untreated controls in Sertoli and peritubular cells, whereas hydroxyflutamide and cyproterone acetate did not. Despite the different embryological origins of peritubular and Sertoli cells, their responses to both androgens and anti-androgens were similar. In addition, these studies suggest that peritubular cells are as likely as Sertoli cells to be primary androgen targets. ^

Estimating the mean and standard deviation of concentration distributions using censored samples

Environmental data sets of pollutant concentrations in air, water, and soil frequently include unquantified sample values reported only as being below the analytical method detection limit. These values, referred to as censored values, should be considered in the estimation of distribution parameters as each represents some value of pollutant concentration between zero and the detection limit. Most of the currently accepted methods for estimating the population parameters of environmental data sets containing censored values rely upon the assumption of an underlying normal (or transformed normal) distribution. This assumption can result in unacceptable levels of error in parameter estimation due to the unbounded left tail of the normal distribution. With the beta distribution, which is bounded by the same range of a distribution of concentrations, $\rm\lbrack0\le x\le1\rbrack,$ parameter estimation errors resulting from improper distribution bounds are avoided. This work developed a method that uses the beta distribution to estimate population parameters from censored environmental data sets and evaluated its performance in comparison to currently accepted methods that rely upon an underlying normal (or transformed normal) distribution. Data sets were generated assuming typical values encountered in environmental pollutant evaluation for mean, standard deviation, and number of variates. For each set of model values, data sets were generated assuming that the data was distributed either normally, lognormally, or according to a beta distribution. For varying levels of censoring, two established methods of parameter estimation, regression on normal ordered statistics, and regression on lognormal ordered statistics, were used to estimate the known mean and standard deviation of each data set. The method developed for this study, employing a beta distribution assumption, was also used to estimate parameters and the relative accuracy of all three methods were compared. For data sets of all three distribution types, and for censoring levels up to 50%, the performance of the new method equaled, if not exceeded, the performance of the two established methods. Because of its robustness in parameter estimation regardless of distribution type or censoring level, the method employing the beta distribution should be considered for full development in estimating parameters for censored environmental data sets. ^