Catecholamine storage vesicle protein expression in genetic hypertension
BLOOD PRESSURE
Authors: O'Connor, DT; Takiyyuddin, MA; Printz, MP; Dinh, TQ; Barbosa, JA; Rozansky, DJ; Mahata, SK; Wu, HJ; Kennedy, BP; Ziegler, MG; Wright, FA; Schlager, G; Parmer, RJ
Abstract
Chromogranin A expression is heritable in humans, and both plasma chromogranin A concentration and its releasable adrenal and sympathetic neuronal pools are augmented in established essential (hereditary) hypertension. To evaluate chromogranin A further as a simpler or "intermediate phenotype" in the complex trait of hypertension, we studied chromogranin A expression in the spontaneously hypertensive rat (SHR), a rodent model of essential hypertension. Both plasma (p < 0.0001) and adrenal medullary (p = 0.003 to p < 0.0001) chromogranin A were elevated in the SHR, even at the earliest stages (3-4 weeks of age). In the adult adrenal gland, both chromogranin A (p = 0.005) and norepinephrine (p =0.011) were increased in the SHR, while dopamine beta-hydroxylase activity was diminished (p < 0.0001). Chromogranin A mRNA expression was also elevated in the SHR adrenal medulla (p = 0.017). Differences in chromogranin A processing were not noted between SHR and Wistar Kyoto control (WKY) rats. In an SHR x WKY genetic intercross, control of the adrenal chromogranin A phenotype by a single major locus was suggested by comparison of phenotypic variance of the F2 vs F1 generations, and by bimodal frequency histogram (3:1 ratio), confirmed by maximum likelihood analysis (X-2 = 74.6, p < 0.000001) in the F2 generation. However, microsatellite alleles at a surrogate locus (Ighe) 12.7 cM from chromogranin A (Chga), on rat chromosome 6, failed to co-segregate with brood pressure in an F2 generation (F = 0.06, p = 0.94). In another rodent model of hereditary hypertension, the genetically hypertensive mouse (BPH/2), adrenal chromogranin A (p = 0.018) and norepinephrine (p = 0.004) were actually diminished. We conclude that over-expression of chromogranin A is a variable feature of mammalian genetic hypertension. In one rodent model (the SHR), over-expression of chromogranin A is largely controlled by a single genetic locus, but the chromogranin A locus itself is not directly linked to determination of the blood pressure elevation of the SHR.
Systematic polymorphism discovery after genome-wide identification of potential susceptibility loci in a hereditary rodent model of human hypertension
BLOOD PRESSURE
Authors: Friese, Ryan S.; Schmid-Schoenbein, Geert W.; O'Connor, Daniel T.
Abstract
Genetic strategies such as linkage analysis and quantitative trait locus (QTL) mapping have identified a multitude of loci implicated in the pathogenesis of hypertension in the spontaneously hypertensive rat (SHR). While several candidate genetic regions have been identified in the SHR and its control, the Wistar--Kyoto rat (WKY), systematic follow-up of candidate identification with polymorphism discovery has not been widespread. In the current report, we develop a data-mining strategy to identify candidate genes for hypertension in the SHR, and then sequence each gene in the SHR and WKY strains. We integrate blood pressure QTL data, microarray data and data-mining methods. First, we determined the set of genes differentially expressed in SHR and WKY adrenal glands. Next, the chromosomal position of all differentially expressed genes was compared with peak marker position of all reported SHR blood pressure QTLs. We also identified the set of differentially expressed genes with the most extreme fold-change. Finally, the QTL positional candidates and the genes with extreme differential expression were proposed as candidate genes if they had biologically plausible roles in hypertensive pathology. We identified seven candidate genes that merit resequencing (catechol-O-methyltransferase [Comt], chromogranin A [Chga], dopamine beta-hydroxylase [Dbh], electron transferring flavoprotein dehydrogenase [Etfdh], endothelin receptor type B [Ednrb], neuropeptide Y [Npy] and phenylethanolamine-N-methyltransferase [Pnmt]), and then discovered polymorphism in four of these seven candidate genes. Chga is proposed as the strongest candidate for additional functional investigation. Our method for candidate gene identification is portable and can be applied to microarray data from any tissue, in any disease model with a QTL database.