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. ^

Body fat distribution and serum lipids in children and adolescents

Previous studies of normal children have linked body fat but not body fat distribution (BFD), to higher blood pressures, lipids, and insulin resistance (Berenson et al., 1988) BFD is a well-established risk factor for cardiovascular disease in adults (Björntorp, 1988). This study investigates the relation of BFD and serum lipids at baseline in children from Project HeartBeat!, a study of the growth and development of cardiovascular risk factors in 678 children in three cohorts measured initially at ages 8, 11, and 14 years. Initially, two of four indices of BFD were significantly related to the lipids: ratio of upper to lower body skinfolds (ln US:LS) and conicity (C Index). A factor analysis reduced the information in the serum lipids to two vectors: (1) total cholesterol + LDL-cholesterol and (2) HDL-cholesterol − triglycerides, which together accounted for 85% of the lipid variation. Using each serum lipid and vector as separate dependent variables, linear and quadratic regression models were constructed to examine the predictive ability of the two BFD variables, controlling for total body fat, gender, ethnicity (Black, non-Black) and maturation. Linear models provided an acceptable fit. Percent body fat (%BF) was a significant predictor in each and every lipid model, independent of age, maturation, or ethnicity (p ≤ 0.05). No BFD variable entered the equation for total or LDL-cholesterol, although there was a significant maturity by BFD interaction for LDL (ln US:LS was a significant predictor in more mature individuals). Both %BF and BFD (by way of Conicity) were significant predictors of HDL-cholesterol and triglycerides (p ≤ 0.01). All models were statistically significant at a high level (p ≤ 0.01), but adjusted R 2's for all models were low (0.05–0.15). Body fat distribution is a significant predictor of lipids in normal children, but secondarily to %BF, and for LDL-cholesterol in particular, the relation is dependent on maturity status. ^