Network Medicine Approaches to Classify Heart Failure With PReserved Ejection Fraction by Signatures of DNA Methylation and Point-of-carE Risk calculaTors (PRESMET)

Sponsor
University of Campania "Luigi Vanvitelli" (Other)
Overall Status
Completed
CT.gov ID
NCT05475028
Collaborator
Monaldi Hospital (Other), Federico II University (Other), University of Alabama at Birmingham (Other)
60
1
9
6.7

Study Details

Study Description

Brief Summary

Heart failure (HF) is a syndrome, resulting from structural or functional impairment of ventricular filling or ejection of blood. Effective HF management depends on accurate and rapid diagnosis requiring assessment of symptoms and physical signs in combination with advanced and expensive imaging tools. However, several challenges arise from the traditional symptom-based diagnosis because co-morbidities of HF have similar presentations. This implies the need for a deeper knowledge of mechanistic links among genetic and epigenetic events governing the pathophysiology of HF leading to a novel molecular-based system to differentiate HF phenotypes. Now, it is emerging that the pathophysiology of HFpEF and HFrEF is different, it provides an opportunity to identify biomarker candidates that could aid in HF diagnosis and stratification between these two forms of the disease. The aim of PRESMET project is to perform liquid biopsy strategies to identify novel putative non-invasive epigenetic-sensitive biomarkers that could be used either alone or in combination with established diagnostic tests, such as natriuretic peptide, to help differentiate HFpEF from HFrEF. The Investigators will perform DNA methylation analysis on CD4+ T cells isolated from patients versus controls. Remarkably, big data generated from NGS tools will be analyzed by advanced network-oriented algorithms. Our results may provide a useful clinical roadmap in order to improve precision medicine and personalized therapy of HF.

Condition or Disease Intervention/Treatment Phase
  • Other: RRBS

Detailed Description

The Investigators will perform the first Network Medicine approach to integrate the DNA methylome of circulating CD4+T cells and clinical parameters in patients with HFpEF and HFrEF.

Liquid biopsy strategies will be performed to isolate PBMCs and purificate CD4+ T cells. Successivelly, genomic DNA will be extracted on columns and will be send out for RRBS.

Network-oriented algorithms will be used to analyze DNA methylation signatures and to identify specific epigenetic changes in relation to left ventricle ejection fraction.

Network-oriented DNA methylation signatures will be integrated to the H2FPEF point-of-care calculator and, then, will be validated by the use of q-RT-PCR, WB, and ELISA.

Study Design

Study Type:
Observational
Actual Enrollment :
60 participants
Observational Model:
Case-Control
Time Perspective:
Cross-Sectional
Official Title:
Network Medicine Approaches to Classify Patients Suffering Heart Failure in Relation to Left Ventricle Ejection Fraction (HFpEF, HFmrEF, HFrEF) by Circulating CD4+ T Cell-derived DNA Methylation Signatures, Clinical Data, and Point-of-care Risk Calculators
Actual Study Start Date :
Sep 14, 2021
Actual Primary Completion Date :
Jan 14, 2022
Actual Study Completion Date :
Jun 14, 2022

Arms and Interventions

Arm Intervention/Treatment
HFpEF

We will recruit HFpEF (LVEF > 50%)

Other: RRBS
Reduced Representation Bisulfite Sequencing

HFrEF

We will recruit HFrEF (LVEF < 40%)

Other: RRBS
Reduced Representation Bisulfite Sequencing

Healthy controls

We will recruit volunteer blood donors

Other: RRBS
Reduced Representation Bisulfite Sequencing

Outcome Measures

Primary Outcome Measures

  1. Percentage of differentially methylated regions (DMRs) in CD4+ T cells [3 months]

    The Investigators will identify the panel of DMRs able to distinguish HFpEF vs. HFrEF, HFpEF vs. healthy controls, and HFrEF vs. healthy controls.

  2. Levels of differentially expressed genes in CD4+ T cells [1 month]

    The Investigators will measure the levels of gene expression of selected genes (qRT-PCR) in HFpEF vs. HFrEF, HFpEF vs. healthy controls, and HFrEF vs. healthy controls.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • HFrEF (LVEF < 40%)

  • HFpEF (LVEF > 50%)

Exclusion Criteria:
  • Patients with HF with a history of a reduced LVEF ≤ 40% (HFrEF) who recover LV function (LVEF ≥ 50%)

  • Chronic inflammatory diseases

  • Cancer

Contacts and Locations

Locations

Site City State Country Postal Code
1 University of Campania Luigi Vanvitelli Naples Italy 80138

Sponsors and Collaborators

  • University of Campania "Luigi Vanvitelli"
  • Monaldi Hospital
  • Federico II University
  • University of Alabama at Birmingham

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Giuditta Benincasa, Principal Investigator Giuditta Benincasa, Biol.D, PhD, University of Campania "Luigi Vanvitelli"
ClinicalTrials.gov Identifier:
NCT05475028
Other Study ID Numbers:
  • UniCampania
First Posted:
Jul 26, 2022
Last Update Posted:
Jul 26, 2022
Last Verified:
Jul 1, 2022
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Giuditta Benincasa, Principal Investigator Giuditta Benincasa, Biol.D, PhD, University of Campania "Luigi Vanvitelli"
Additional relevant MeSH terms:

Study Results

No Results Posted as of Jul 26, 2022