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Genetic Based Analysis in Hypertensive Patients

U

University of Erlangen-Nürnberg Medical School

Status

Completed

Conditions

Hypertension
Genetic Predisposition
Renal Denervation

Treatments

Genetic: Genetic based analysis of identifying predictors of blood pressure in patients after renal denervation

Study type

Interventional

Funder types

Other

Identifiers

NCT04321044
CRC2019GBA

Details and patient eligibility

About

Many attempts to identify predictors of blood pressure response after renal denervation failed to identify a meaningful determination of blood pressure response.

These attempts have been based on demographic parameters, clinical parameters, endocrine inflammatory and other biochemical variables, comorbidities and disease factors. So far the only predictor of blood pressure response is the pre-treatment blood pressure. According to Wilder's law the pre-treatment baseline value is always a determinant for any change due to an intervention, irrespective which biological variable is examined.

The investigators propose a genetic approach to identify predictors of blood pressure response after renal denervation. Genetic factors are not subject to changes of clinical parameters, previous or current antihypertensive therapy, hypertension associated organ damages, comorbidities and other potential clinical variables.

Full description

Background:

Up to now numerous attempts to identify predictors of blood pressure response after renal denervation failed to identify a meaningful and consistent determinant of blood pressure response. These approaches have been based on demographic parameters, clinical parameters, comorbidities and disease factors as well as numerous endocrine inflammatory and other biochemical variables. Only the pre-treatment blood pressure emerged as a predictor of blood pressure response which is no surprise since according to Wilder's law the pre-treatment baseline value is always a determinant for any change due to an intervention, irrespective which biological variable is examined, e.g. blood pressure, LDL cholesterol, HbA1c and so on.

The investigators suggest a genetic approach to identify predictors of blood pressure response after renal denervation. The rationale is quite simple: Genetic factors are not subject to changes of clinical parameters, previous or current antihypertensive therapy, hypertension associated organ damages, comorbidities, and other potential clinical variables. By such an approach the investigators previously were very successful to identify several parameters of modulators hypertensive organ damage that could not have been identified by pathophysiological or pharmaceutical maneuvers. THE INVESTIGATORS PREFER TO RUN A GENOM WIDE ASSOCIATION STUDY AND THE PARTNERS IN GLASGOW AND EDINBURGH HAVE THE DEEP KNOWLWEDGE; EXPERIENCE AND CAPACITY TO RUN A NGS (next generation sequencing, so that's the complete genome)) INCLUDING ALL BIOINFORMATICS AND OTHER ANALYSIS

Objective:

The investigators attempt to identify predictors of blood pressure response to renal denervation by using a GWAS (genome wide association study) approach. This allows to identify various suspected and unexpected polymorphism that are of interest and potentially being strong predictors of blood pressure response. By that approach the investigators will identify novel mechanism of action that are important for blood pressure response (by identifying polymorphism that are beyond the classical thinking how renal denervation may exert blood pressure lowering effects).

Study design:

In collaboration with the Homburg Group (Prof. Dr. Felix Mahfoud), the investigators will extract DNA from stored samples of patients with uncontrolled treatment resistant hypertension and perform a genome wide association study analysis (GWAS) in two cohorts: no/low responders vs. high/excellent responders. NGS will be applied by the partners in Glasgow and Edinburgh. All patients with renal denervation will be categorized according to their pretreatment adjusted blood pressure response and the investigators will compare the upper quartile vs. the lower quartile of all patients that has been so far studied in Homburg and Erlangen. By excluding those patients with a medium or average blood pressure response, the investigators will have two distinct response patterns: low/no response vs. high/excellent response.

By applying standard biostatistics analysis, the investigators will come up with a pattern of polymorphism that are significantly different between the two groups. These identified polymorphisms (or a pattern of it) may be refer, not unexpectedly, to renin angiotensin aldosterone system, sodium and water balance, sympathetic nervous system or other endocrine parameters related to hypertension. In addition to that, the investigators may find significant results of polymorphisms involved in other pathophysiologic pathways not related to hypertension (by our current knowledge) and that the Investigators have not thought about to be related to uncontrolled hypertension. These novel mechanism need to be subsequently further analyzed, but they will offer the opportunity to find novel predictors of blood pressure response.

Enrollment

300 patients

Sex

All

Ages

18 to 85 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Individual is ≥ 18 and ≤ 85 years of age.
  • Individual agrees to have all study procedures performed, and is competent and willing to provide written, informed consent to participate in this clinical study
  • Renal denervation ≥ 6 months
  • 24-h ABPM

Exclusion criteria

  • Individual has renal artery anatomy that is ineligible for treatment including:

    1. Main renal arteries < 4 mm in diameter or < 20 mm in length.
    2. Hemodynamically or anatomically significant renal artery abnormality or stenosis in either renal artery which, in the eyes of the operator, would interfere with safe cannulation of the renal
    3. A history of prior renal artery intervention including balloon angioplasty or stenting.
    4. Multiple main renal arteries in either kidney.
  • Individual has an estimated glomerular filtration rate (eGFR) of < 45mL/min/1.73m2, using the MDRD calculation.

  • Individual has type 1 diabetes mellitus.

  • Individual has experienced a myocardial infarction, unstable angina pectoris, or a cerebrovascular accident within 6 months of the screening visit, or has widespread atherosclerosis, with documented intravascular thrombosis or unstable plaques.

  • Individual has a scheduled or planned surgery or cardiovascular intervention in the next 6 months.

  • Individual has hemodynamically significant valvular heart disease for which reduction of blood pressure would be considered hazardous.

  • Individual has an implantable cardioverter defibrillator (ICD) or pacemaker, or any other metallic implant which is not compatible with magnetic resonance imaging (MRI).

  • Individual has any serious medical condition, which in the opinion of the investigator, may adversely affect the safety and/or effectiveness of the participant or the study (i.e., patients with clinically significant peripheral vascular disease, abdominal aortic aneurysm, bleeding disorders such as thrombocytopenia, hemophilia, or significant anemia, or arrhythmias such as atrial fibrillation).

  • Individual is pregnant, nursing or planning to be pregnant. [Female participants of childbearing potential must have a negative serum or urine human chorionic gonadotropin (hCG) pregnancy test prior to treatment.]

  • Individual has a known, unresolved history of drug use or alcohol dependency, lacks the ability to comprehend or follow instructions, or would be unlikely or unable to comply with study follow-up requirements.

  • Individual is currently enrolled in another investigational drug or device trial

Trial design

Primary purpose

Other

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

300 participants in 1 patient group

Renal Denervation
Other group
Description:
We attempt to identify predictors of blood pressure response to renal denervation by using a GWAS (Genome wide association study) approch
Treatment:
Genetic: Genetic based analysis of identifying predictors of blood pressure in patients after renal denervation

Trial contacts and locations

3

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Data sourced from clinicaltrials.gov

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