Evidence map›Paper›PMID 28616530›Full record

ArticleInternational journal of cardiology. Heart & vasculature2016

Resistance to renal denervation therapy - Identification of underlying mechanisms by analysis of differential DNA methylation.

Frederic Emschermann, Christine S Zuern, Johannes Patzelt, Konstantinos D Rizas, Günter Jäger, Christian Eick, Sven G Meuth, Meinrad Gawaz, Axel Bauer, Harald F Langer

Open access · goldAbstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 95% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Frederic EmschermannUniversity Hospital, Department of Cardiology and Cardiovascular Medicine, Eberhard Karls University Tuebingen, 72076 Tuebingen, Germany.
Christine S ZuernUniversity Hospital, Department of Cardiology and Cardiovascular Medicine, Eberhard Karls University Tuebingen, 72076 Tuebingen, Germany.
Johannes PatzeltUniversity Hospital, Department of Cardiology and Cardiovascular Medicine, Eberhard Karls University Tuebingen, 72076 Tuebingen, Germany.
Konstantinos D RizasUniversity Hospital, Department of Cardiology and Cardiovascular Medicine, Eberhard Karls University Tuebingen, 72076 Tuebingen, Germany.
Günter JägerInstitut für Genetik und angewandte Genomik, Eberhard Karls University Tuebingen, 72076 Tuebingen, Germany.
Christian EickUniversity Hospital, Department of Cardiology and Cardiovascular Medicine, Eberhard Karls University Tuebingen, 72076 Tuebingen, Germany.
Sven G MeuthDepartment of Neurology and Institute of Physiology I - Neuropathophysiology, University of Muenster, 48149 Muenster, Germany.
Meinrad GawazUniversity Hospital, Department of Cardiology and Cardiovascular Medicine, Eberhard Karls University Tuebingen, 72076 Tuebingen, Germany.
Axel BauerUniversity Hospital, Department of Cardiology and Cardiovascular Medicine, Eberhard Karls University Tuebingen, 72076 Tuebingen, Germany.
Harald F LangerUniversity Hospital, Department of Cardiology and Cardiovascular Medicine, Eberhard Karls University Tuebingen, 72076 Tuebingen, Germany.
University of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFactors causing resistance to renal denervation (RDN) for treatment of arterial hypertension are not known. In the current study, we sought to determine mechanisms involved in responsiveness to renal denervation therapy in patients with difficult-to-control and resistant hypertension. METHODS AND

resultsWe evaluated the differential CpG methylation of genes in blood samples isolated from patients of a recently described cohort of responders or non-responders to renal denervation using microarray technique and measured protein levels of identified downstream effectors in blood samples of these patients by ELISA. Our analysis revealed up to 6103 methylation sites differing significantly between non-responders and responders to renal denervation therapy. Software based analysis showed several of these loci to be relevant for arterial hypertension and sympathetic nervous activity. Particularly, genes involved in glutamate synthesis, degradation and glutamate signaling pathways were differently methylated between both groups. For instance, genes for glutamate dehydrogenase 1 and 2 central to glutamate metabolism, genes for ionotropic (AMPA, NMDA) and metabotropic glutamate receptors as well as glutamate transporters revealed significant differences in methylation correlating with responsiveness to RDN. To underline their potential relevance for responsiveness to RDN, we measured plasma protein levels of norepinephrine, a downstream effector of the glutamate receptor pathway, which were significantly lower in non-responders to RDN.

conclusionsThe present study describes novel molecular targets potentially contributing to reduction of blood pressure after RDN in some patients. Identifying patients with a high responsiveness to RDN could contribute to an individualized therapy in drug resistant hypertension.

Indexed as

ABPM, ambulatory blood pressure monitoringAF, atrial fibrillationBP, blood pressureBRS, baroreflex sensitivityDrug resistant hypertensionEpigeneticsGFR, glomerular filtration rateNE, norepinephrinePVI, pulmonal vein isolationRDN, renal denervation therapyRenal denervation therapy

Identifiers

PMID28616530
PMCPMC5462630
OpenAlexW2343142055

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.