Alternative splicing of DNA polymerase beta in vertebrates

Alternative splicing (AS) is the predominant mechanism responsible for increasing eukaryotic transcriptome and proteome complexity. In this phenomenon, numerous mRNA transcripts are produced from a single pre-mRNA sequence. AS is reported to occur in 95% of human multi-exon genes; one specific gene that undergoes AS is DNA polymerase beta (POLB). POLB is the main DNA repair gene which performs short patch base excision repair (BER). In primate untransformed primary fibroblast cell lines, it was determined that the splice variant (SV) frequency of POLB correlates positively with species lifespan. To date, AS patterns of POLB have only been examined in mammals primarily through the use of cell lines. However, little attention has been devoted to investigating if such a relationship exists in non-mammals and whether cell lines reflect what is observed in vertebrate tissues. This idea was explored through cloning and characterization of 1,214 POLB transcripts from four non-mammalian species (Gallus gallus domesticus, Larus glaucescens, Xenopus laevis, and Pogona vitticeps) and two mammalian species (Sylvilagus floridanus and Homo sapiens) in two tissue types, liver and brain. POLB SV frequency occurred at low frequencies, < 3.2%, in non-mammalian tissues relative to mammalian (>20%). The highest POLB SV frequency was found in H. sapiens liver and brain tissues, occurring at 65.4% and 91.7%, respectively. Tissue specific AS of POLB was observed in L. glaucescens, P. vitticeps, and H. sapiens, but not G. gallus domesticus, X. laevis and S. floridanus.The AS patterns of a second gene, transient receptor potential cation channel subfamily V member 1 (TRPV1), were compared to those of POLB in liver and brain tissues of G. gallus domesticus, X. laevis and H. sapiens. This comparison was performed to investigate if any changes (either increase or decrease) observed in the AS of POLB were gene specific or if they were tissue specific, in which case similar changes in AS would be seen in POLB and TRPV1. Analysis did not reveal an increase or decrease in both the AS of POLB and TRPV1 in either the liver or brain tissues of G. gallus domesticus and H. sapiens. This result suggested that the AS patterns of POLB were not influenced by tissue specific rates of AS. Interestingly, an increase in the AS of both genes was only observed in X. laevis brain tissue. This result suggests that AS in general may be increased in the X. laevis brain as compared to liver tissue. No positive correlation between POLB SV frequency and species lifespan was found in non-mammalian tissues. The AS patterns of POLB in human primary untransformed fibroblast cell lines were representative of those seen in human liver tissue but not in brain tissue. Altogether, the AS patterns of POLB from vertebrate tissues and primate cell lines revealed a positive correlation between POLB SV frequency and lifespan in mammals, but not in non-mammals. It appears that this positive correlation does not exist in vertebrate species as a whole.

Determinants of left ventricular mass as measured by Doppler echocardiography in pre-adolescents

This study examined factors contributing to the differences in left ventricular mass as measured by Doppler echocardiography in children. Fourteen boys (10.3 ± 0.3 years of age) and 1 1 girls (10.5 ± 0.4 years of age) participated in the study. Height and weight were measured, and relative body fat was determined from the measurement of skinfold thickness according to Slaughter et al. (1988). Lean Body Mass was then calculated by subtracting the fat mass from the total body mass. Sexual maturation was self-assessed using the stages of sexual maturation by Tanner (1962). Both pubic hair development and genital (penis or breast for boys and girls respectively) development were used to determine sexual maturation. Carotid Pulse pressure was assessed by applanation tomometry in the left carotid artery. Cardiac mass was measured by Doppler Echocardiography. Images of cardiac structures were taken using B-Mode and were then translated to M- Mode. The dimensions at the end diastole were obtained at the onset of the QRS complex of the electrocardiogram in a plane through a standard position. Measurements included: (a) the diameter of the left ventricle at the end diastole was measured from the septum edge to the endocardium mean border, (b) the posterior wall was measured as the distance from to anterior wall to the epicardium surface, and (c) the interventricular septum was quantified as the distance from the surface of the left ventricle border to the right ventricle septum surface. Systolic time measurements were taken at the peak of the T-wave of the electrocardiogram. Each measurement was taken three to five times before averaging. Average values were used to calculate cardiac mass using the following equation (Deveraux et al. 1986). Weekly physical activity metabolic equivalent was calculated using a standardize activity questionnaire (Godin and Shepard, 1985) and peakV02 was measured on a cycloergometer. There were no significant differences in cardiovascular mesurements between boys and girls. Left ventricular mass was correlated (p<0.05) with size, maturation, peakV02 and physical activity metabolic equivalent. In boys, lean body mass alone explained 36% of the variance in left ventricular mass while weight was the single strongest predictor of left ventricular mass (R =0.80) in girls. Lean body mass, genital developemnt and physical activity metabolic equivalent together explained 46% and 81% in boys and girls, respectively. However, the combination of lean body mass, genital development and peakV02 (ml kgLBM^ min"') explained up to 84% of the variance in left ventricular mass in girls, but added nothing in boys. It is concluded that left ventricular mass was not statistically different between pre-adolescent boys and girls suggesting that hormonal, and therefore, body size changes in adolescence have a main effect on cardiac development and its final outcome. Although body size parameters were the strongest correlates of left ventricular mass in this pre-adolescent group of children, to our knowledge, this is the first study to report that sexual maturation, as well as physical activity and fitness, are also strong associated with left ventricular mass in pre-adolescents, especially young females. Arterial variables, such as systolic blood pressure and carotid pulse pressure, are not strong determinants of left ventricular mass in this pre-adolescent group. In general, these data suggest that although there is no gender differences in the absolute values of left ventricular mass, as children grow, the factors that determine cardiac mass differ between the genders, even in the same pre-adolescent age.