Essential hypertension (HTN) affects more than 25% of adults worldwide, and is a significant risk factor for coronary heart disease, stroke, and renal disease. Non-genetic factors such as obesity, high fat/sodium diet, stress, and physical inactivity contribute to a steady increase in the prevalence of HTN despite remarkable improvement in HTN screening and treatment options. This phenomenon, termed Hypertension paradox, underscores the importance of understanding the genetic factors underlying HTN, so that personalized care can be developed to prevent and treat HTN. Variants that play a role in determining blood pressure (BP) and HTN susceptibility have been uncovered by recent genome-wide association studies (GWAS), but the biological underpinning of such signals is often unclear. This proposal aims to uncover the functional significance of such GWAS signals through a multi-disciplinary approach. Our prior GWAS effort demonstrated that variants in the serine-threonine kinase, STK39, are associated with BP and highlighted an incompletely understood network of kinases and co-transporters critical for normal salt excretion and BP control. Mouse models indicated that members of this network, such as with no lysine kinases (WNKs) and STK39-encoded Ste20-related proline-alanine-rich kinase (SPAK), might have unknown isoforms that are renal-segment specific and the distribution and interaction of these isoforms are crucial for proper renal function. Therefore we will generate cortex- and medulla-enriched human and mouse kidney transcriptomes by RNA sequencing, which is suitable for the detection of novel isoforms and rare transcripts. We will validate and characterize transcript and protein isoforms of these kinases and co-transporters to obtain a better understanding of how they work together to regulate renal sodium handling. Our objectives are to identify and characterize isoforms of this specific network of kinases and co-transporters that are functionally distinct. In doing so, we will also provide high quality human and mouse nephron segment-specific transcriptomes for investigators interested in other aspects of renal gene expression. In a parallel but complementary aim, we will also examine novel GWAS signals yet to be characterized by combining our expertise in transcriptional regulation and bioinformatics to mine the ever-expanding annotation of regulatory elements in the human genome. Initially we will focus on replicated HTN and BP-associated variants, but our long-term objective is to build a bioinformatics pipeline designed to convert signals from large genetic studies, such as GWAS, to functional elements in the human genome so that the underlying biology of any phenotype or disease can be examined. To accomplish these goals, we have brought together investigators who are experts in hypertension genetics, transcriptional regulation, bioinformatics, molecular biology, biochemistry, and renal physiology.

Public Health Relevance

One out every three adults worldwide has hypertension (high blood pressure) and will suffer from resulting kidney and cardiovascular diseases. It is essential that we understand the genetic factors underlying hypertension and how blood pressure is regulated. This proposal brings together experts from diverse fields and recent advances in technology to identify new genes and novel forms of proteins that are not only important for our understanding of blood pressure regulation, but can also lead to more effective treatments for hypertension.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL088120-07
Application #
8827402
Study Section
Cardiovascular and Sleep Epidemiology (CASE)
Program Officer
Reid, Diane M
Project Start
2007-04-01
Project End
2018-03-31
Budget Start
2015-04-01
Budget End
2016-03-31
Support Year
7
Fiscal Year
2015
Total Cost
$450,496
Indirect Cost
$142,125
Name
University of Maryland Baltimore
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
188435911
City
Baltimore
State
MD
Country
United States
Zip Code
21201
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