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Genetic Architecture of Natriuretic Peptides and Blood Pressure Response

Not Applicable
Not yet recruiting
Conditions
Hypertension (HTN)
Cardiometabolic Diseases
Registration Number
NCT07118592
Lead Sponsor
University of Alabama at Birmingham
Brief Summary

Natriuretic peptides (NPs) are hormones produced by the heart and play an important role in maintaining cardiovascular health and have favorable metabolic benefits. Low NP levels are associated with an increased likelihood of the development of cardiometabolic diseases like diabetes and hypertension. NP levels are known to be highly heritable, with up to half of the differences in NP levels being explained by genetics. We aim to describe the genetic architecture of NPs by examining the genetic variants associated with NPs, and generate and validate a polygenic score (PGS) for NPs. We will use this NP PGS to examine the association of genetically determined NP levels with cardiometabolic and cardiovascular outcomes. We will conduct a genotype-guided physiological clinical trial that aims to assess the genetic factors affecting NP levels and their impact on blood pressure and NP response to saline infusion, high-salt diet, and low-salt diet. These findings will help support personal medicine approaches to lower the increasing burden of hypertension in the United States.

Detailed Description

NPs are vital cardiac-derived hormones that are known for their role in salt regulation, vascular function, and blood pressure (BP) regulation. NPs are also key regulators of insulin sensitivity, lipid metabolism, and energy expenditure. Recent evidence has shown that low NP levels are associated with higher risk of cardiometabolic diseases like hypertension (HTN). Animal studies have shown that the loss of the NP gene in mice is associated with the development of salt-sensitive HTN. Prior research, including our research, indicates that individuals with genetically lower NP levels show higher systolic and diastolic BP and are at a 15% higher risk of HTN.

NP levels are highly heritable, with heritability ranging from 35%-44%, independent of factors like age, body mass index, sex, and race. The availability of whole genome sequencing (WGS) data from a comprehensive cohort of individuals provides an opportunity to advance the discovery of novel genomic loci and rare variants regulating NP levels. Previous studies on the genetic determinants of NP levels were limited by their focus on diseased populations, use of genotyping array data, or lack of comprehensive genetic analysis. Examination of the genotype-based differences in NP may provide not only insights into the pathophysiology of diseases like salt-sensitive HTN, but also help discover new pharmacogenomic treatment approaches.

In the proposed study, we will leverage data from multiple large cohorts, including the TransOmics for Precision Medicine cohorts, UK Biobank, and All of Us Research Program, to investigate the genetic architecture of NP levels, including the common, rare, and structural variants. We will conduct fine mapping to identify variants that might cause disease and perform analyses to prioritize genes associated with NPs. Additionally, the summary statistics of the common variant analysis will be used to develop NP polygenic risk scores using standardized methodologies. The best-performing NP PGS will be validated, and the association of genetically determined NP levels with cardiometabolic and cardiovascular disease will be examined. The NP PGS will then be used to conduct a Mendelian randomization analysis to examine the causal role of NPs in cardiometabolic disease.

We will enroll 200 hypertensive participants for 4 weeks, during which they will receive 1 week each of high and low-salt diets in a random sequence, and undergo a volume loading using a normal saline infusion protocol at the end of each diet period. Each diet period will be followed by a week of washout.

We hypothesize that individuals with genetically determined low NP levels will exhibit a poorer response to salt and volume loading. The main questions this study aims to answer are:

* How does the genetic makeup of NP affect the BP differences after consuming a high and low salt diet?

* How do the NP precursor levels change following consumption of a high and low salt diet in participants with differences in genetically determined NP levels?

Using this NP PGS, we will explore the clinical implications of genetically determined NP levels on the BP response to salt and volume loading by conducting a genotype-first trial, and this data will provide an understanding of the determinants of BP response and may foster new NP based individualized therapeutics.

Recruitment & Eligibility

Status
NOT_YET_RECRUITING
Sex
All
Target Recruitment
200
Inclusion Criteria
  • Age more than or equal to 18 years
  • Consenting to collection of genetic material and willing to adhere to study protocol
  • Stage I/II Hypertension (Systolic blood pressure: 130-159 and Diastolic blood pressure: 80-99 mm Hg)
Exclusion Criteria
  • Body mass index (BMI) more than 45 kg/m2
  • History of uncontrolled hypertension (i.e., Systolic blood pressure more than or equal to 160 mmHg and/or Diastolic blood pressure more than or equal to 100 mmHg)
  • If taking more than or equal to 2 blood pressure medications at the time of screening
  • Systolic blood pressure more than 180 and/or Diastolic blood pressure more than or equal to 120 mmHg at any point in the study
  • Present or past history of major cardiovascular disease including myocardial infarction, angina, cardiac arrhythmia, heart failure, stroke, transient ischemic attack, or seizure.
  • Pregnant or breastfeeding individuals
  • History of kidney disease
  • History of insulin requiring diabetes
  • Estimated glomerular filtration rate less than 60ml/min/1.73 m2, albumin creatinine ratio more than or equal to 30 mg/g
  • Hepatic transaminase levels more than 3 times the upper limit of normal
  • Anemia (men, Hb less than 13 g/dL; women, Hb less than 12 g/dL)

Study & Design

Study Type
INTERVENTIONAL
Study Design
CROSSOVER
Primary Outcome Measures
NameTimeMethod
Change in N-terminal pro-B-type Natriuretic Peptide (NTproBNP) (NTproBNP)3 weeks

Difference in the change in NTproBNP levels following high and low salt diets, between the the polygenic score groups.

Change in 24h mean Systolic Blood Pressure (SBP)3 weeks

Difference in the change in 24h mean SBP following high and low salt diets, between the polygenic score groups.

Secondary Outcome Measures
NameTimeMethod
Change in Nighttime Urinary Excretion (Sodium)3 weeks

Difference in the change in Nighttime urinary excretion (sodium) following high and low salt diets between the polygenic score groups.

Change in Natriuretic Peptide Levels (BNP)3 weeks

Difference in the change in BNP levels following high and low salt diets between the polygenic score groups

Change in Natriuretic Peptide Levels (MRproANP)3 weeks

Difference in the change in MRproANP levels following high and low salt diets between the polygenic score groups

Change in Nighttime Diastolic Blood Pressure (DBP)3 weeks

Difference in the change in the Nighttime DBP following high and low salt diets between the polygenic score groups.

Change in Daytime Systolic Blood Pressure (SBP)3 weeks

Difference in the change in the Daytime SBP following high and low salt diets between the polygenic score groups.

Change in 24h Urinary Excretion (Sodium)3 weeks

Difference in the change in 24h urinary excretion (sodium) following high and low salt diets between the polygenic score groups.

Change in Daytime Urinary Excretion (Sodium)3 weeks

Difference in the change Daytime urinary excretion (sodium) following high and low salt diets between the polygenic score groups.

Change in Nighttime Urinary Excretion (Potassium)3 weeks

Difference in the change in Nighttime urinary excretion (potassium) following high and low salt diets between the polygenic score groups.

Change in Natriuretic Peptide Levels (BNP) with Volume Loading3 weeks

Difference in the change in BNP with the volume loading protocol (from start to end of protocol) after high and low salt diets between the genotype groups.

Change in 24h mean Diastolic Blood Pressure (DBP)3 weeks

Difference in the change in the 24h mean DBP following high and low salt diets between the polygenic score groups.

Change in Daytime Diastolic Blood Pressure (DBP)3 weeks

Difference in the change in the Daytime DBP following high and low salt diets between the polygenic score groups.

Change in Nighttime Systolic Blood Pressure (SBP)3 weeks

Difference in the change in the Nighttime SBP following high and low salt diets between the polygenic score groups.

Change in 24h Urinary Excretion (Potassium)3 weeks

Difference in the change in 24h urinary excretion (potassium) following high and low salt diets between the polygenic score groups.

Change in Daytime Urinary Excretion (Potassium)3 weeks

Difference in the change in Daytime urinary excretion (potassium) following high and low salt diets between the polygenic score groups.

Change in Natriuretic Peptide Levels (NTproBNP) with Volume Loading3 weeks

Difference in the change in NTproBNP with the volume loading protocol (from start to end of protocol) after high and low salt diets between the genotype groups.

Change in Natriuretic Peptide Levels (MRproANP) with Volume Loading3 weeks

Difference in the change in MRproANP with the volume loading protocol (from start to end of protocol) after high and low salt diets between the genotype groups.

Trial Locations

Locations (1)

University of Alabama at Birmingham

🇺🇸

Birmingham, Alabama, United States

University of Alabama at Birmingham
🇺🇸Birmingham, Alabama, United States

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