Aldosterone-induced Sgk1 relieves Dot1a-Af9-mediated transcriptional repression of epithelial Na+ channel alpha.

Aldosterone plays a major role in the regulation of salt balance and the pathophysiology of cardiovascular and renal diseases. Many aldosterone-regulated genes--including that encoding the epithelial Na+ channel (ENaC), a key arbiter of Na+ transport in the kidney and other epithelia--have been identified, but the mechanisms by which the hormone modifies chromatin structure and thus transcription remain unknown. We previously described the basal repression of ENaCalpha by a complex containing the histone H3 Lys79 methyltransferase disruptor of telomeric silencing alternative splice variant a (Dot1a) and the putative transcription factor ALL1-fused gene from chromosome 9 (Af9) as well as the release of this repression by aldosterone treatment. Here we provide evidence from renal collecting duct cells and serum- and glucocorticoid-induced kinase-1 (Sgk1) WT and knockout mice that Sgk1 phosphorylated Af9, thereby impairing the Dot1a-Af9 interaction and leading to targeted histone H3 Lys79 hypomethylation at the ENaCalpha promoter and derepression of ENaCalpha transcription. Thus, Af9 is a physiologic target of Sgk1, and Sgk1 negatively regulates the Dot1a-Af9 repressor complex that controls transcription of ENaCalpha and likely other aldosterone-induced genes.

Regulation of sodium/glucose cotransporter expression in LLC-PK$\sb1$ cells

Expression of the Na$\sp+$/glucose cotransporter (SGLT1), a differentiated function of the pig kidney epithelial cell line LLC-PK$\sb1$ derived from proximal tubule, was further investigated. The differentiation inducer hexamethylene bisacetamide (HMBA) and IBMX, an inhibitor of cAMP phosphodiesterase, each stimulated a significant increase in Na$\sp+$/glucose cotransport activity, levels of the 75 kD cotransporter subunit and steady-state levels of the SGLT1 message. The action of HMBA is associated with involvement of polyamines and protein kinase C, and is synergistic with cAMP. We provide evidence that cAMP-elevating agents increase Na$\sp+$/glucose cotransporter expression, at least in part, via a post-transcriptional mechanism. Two molecular species of SGLT1 mRNA (3.9 kb and 2.2 kb) are transcribed from the same gene in LLC-PK$\sb1$ cells and differ only in the length of the 3$\sp\prime$ untranslated region (3$\sp\prime$ UTR). cAMP elevation differentially stabilized the 3.9 kb SGLT1 transcript from degradation but not the 22 kb species. UV-cross-linking and label transfer experiments indicated that cyclic AMP elevation was associated with formation of a 48 kD protein complex with a specific domain within the 3$\sp\prime$ UTR of SGLT1 mRNA. The binding was competitively inhibited by poly (U) and other U-rich RNA species such as c-fos ARE, and modulated by a protein kinase A-mediated phosphorylation/dephosphorylation mechanism. The binding site was mapped to a 120-nucleotide 3$\sp\prime$ UTR sequence which contains a uridine-rich region (URE). Our study provides the first demonstration that renal SGLT1 is post-transcriptionally regulated by a phosphorylation/dephosphorylation mechanism, and provides a deeper insight into gene regulation of this physiologically important cotransporter. ^

Candidate gene identification following linkage: Search for hypertension susceptibility genes

Following up genetic linkage studies to identify the underlying susceptibility gene(s) for complex disease traits is an arduous yet biologically and clinically important task. Complex traits, such as hypertension, are considered polygenic with many genes influencing risk, each with small effects. Chromosome 2 has been consistently identified as a genomic region with genetic linkage evidence suggesting that one or more loci contribute to blood pressure levels and hypertension status. Using combined positional candidate gene methods, the Family Blood Pressure Program has concentrated efforts in investigating this region of chromosome 2 in an effort to identify underlying candidate hypertension susceptibility gene(s). Initial informatics efforts identified the boundaries of the region and the known genes within it. A total of 82 polymorphic sites in eight positional candidate genes were genotyped in a large hypothesis-generating sample consisting of 1640 African Americans, 1339 whites, and 1616 Mexican Americans. To adjust for multiple comparisons, resampling-based false discovery adjustment was applied, extending traditional resampling methods to sibship samples. Following this adjustment for multiple comparisons, SLC4A5, a sodium bicarbonate transporter, was identified as a primary candidate gene for hypertension. Polymorphisms in SLC4A5 were subsequently genotyped and analyzed for validation in two populations of African Americans (N = 461; N = 778) and two of whites (N = 550; N = 967). Again, SNPs within SLC4A5 were significantly associated with blood pressure levels and hypertension status. While not identifying a single causal DNA sequence variation that is significantly associated with blood pressure levels and hypertension status across all samples, the results further implicate SLC4A5 as a candidate hypertension susceptibility gene, validating previous evidence for one or more genes on chromosome 2 that influence hypertension related phenotypes in the population-at-large. The methodology and results reported provide a case study of one approach for following up the results of genetic linkage analyses to identify genes influencing complex traits. ^

Genome-wide gene-gene interaction analysis for cardiovascular disease

Numerous studies have been carried out to try to better understand the genetic predisposition for cardiovascular disease. Although it is widely believed that multifactorial diseases such as cardiovascular disease is the result from effects of many genes which working alone or interact with other genes, most genetic studies have been focused on identifying of cardiovascular disease susceptibility genes and usually ignore the effects of gene-gene interactions in the analysis. The current study applies a novel linkage disequilibrium based statistic for testing interactions between two linked loci using data from a genome-wide study of cardiovascular disease. A total of 53,394 single nucleotide polymorphisms (SNPs) are tested for pair-wise interactions, and 8,644 interactions are found to be significant with p-values less than 3.5×10-11. Results indicate that known cardiovascular disease susceptibility genes tend not to have many significantly interactions. One SNP in the CACNG1 (calcium channel, voltage-dependent, gamma subunit 1) gene and one SNP in the IL3RA (interleukin 3 receptor, alpha) gene are found to have the most significant pair-wise interactions. Findings from the current study should be replicated in other independent cohort to eliminate potential false positive results.^