Evidence map›Paper›PMID 26263970›Full record

ArticleInternational journal of molecular sciences2015

A Single Nucleotide Polymorphism near the CYP17A1 Gene Is Associated with Left Ventricular Mass in Hypertensive Patients under Pharmacotherapy.

Matthias Huber, Susanne Lezius, Rona Reibis, Andras Treszl, Dorota Kujawinska, Stefanie Jakob, Karl Wegscheider, Heinz Völler, Reinhold Kreutz

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Diuretic effects of Hecogenin and Hecogenin acetate via aldosterone synthase inhibition.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article
  3. Review
  4. Review
  5. Association of CYP17A1 Genetic Polymorphisms and Susceptibility to Essential Hypertension in the Southwest Han Chinese Population.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  6. Article
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

9 authors.

Matthias HuberInstitute of Clinical Pharmacology and Toxicology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany. matthias.huber@charite.de.
Susanne LeziusDepartment of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany. s.lezius@uke.de.
Rona ReibisCardiological Outpatient Clinic Am Park Sanssouci, 14469 Potsdam, Germany. rona.reibis@hotmail.de.
Andras TreszlDepartment of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany. a.treszl@uke.uni-hamburg.de.
Dorota KujawinskaInstitute of Clinical Pharmacology and Toxicology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany. dorotakuj@yahoo.co.uk.
Stefanie JakobInstitute of Clinical Pharmacology and Toxicology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany. stefanie.jakob@charite.de.
Karl WegscheiderDepartment of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany. k.wegscheider@uke.de.
Heinz VöllerKlinik am See, Rehabilitation Center for Cardiovascular Diseases, 15562 Rüdersdorf, Germany. voeller@uni-potsdam.de.
Reinhold KreutzInstitute of Clinical Pharmacology and Toxicology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany. reinhold.kreutz@charite.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytochrome P450 17A1 (CYP17A1) catalyses the formation and metabolism of steroid hormones. They are involved in blood pressure (BP) regulation and in the pathogenesis of left ventricular hypertrophy. Therefore, altered function of CYP17A1 due to genetic variants may influence BP and left ventricular mass. Notably, genome wide association studies supported the role of this enzyme in BP control. Against this background, we investigated associations between single nucleotide polymorphisms (SNPs) in or nearby the CYP17A1 gene with BP and left ventricular mass in patients with arterial hypertension and associated cardiovascular organ damage treated according to guidelines. Patients (n = 1007, mean age 58.0 ± 9.8 years, 83% men) with arterial hypertension and cardiac left ventricular ejection fraction (LVEF) ≥ 40% were enrolled in the study. Cardiac parameters of left ventricular mass, geometry and function were determined by echocardiography. The cohort comprised patients with coronary heart disease (n = 823; 81.7%) and myocardial infarction (n = 545; 54.1%) with a mean LVEF of 59.9% ± 9.3%. The mean left ventricular mass index (LVMI) was 52.1 ± 21.2 g/m2.7 and 485 (48.2%) patients had left ventricular hypertrophy. There was no significant association of any investigated SNP (rs619824, rs743572, rs1004467, rs11191548, rs17115100) with mean 24 h systolic or diastolic BP. However, carriers of the rs11191548 C allele demonstrated a 7% increase in LVMI (95% CI: 1%-12%, p = 0.017) compared to non-carriers. The CYP17A1 polymorphism rs11191548 demonstrated a significant association with LVMI in patients with arterial hypertension and preserved LVEF. Thus, CYP17A1 may contribute to cardiac hypertrophy in this clinical condition.

Indexed as

AgedBlood PressureCardiomegalyEchocardiographyFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHeart VentriclesHumansHypertensionHypertrophy, Left VentricularMaleMiddle AgedPolymorphism, Single NucleotideSteroid 17-alpha-HydroxylaseCYP17A1 protein, humanSteroid 17-alpha-Hydroxylaseclinical studycytochrome P450 17A1 (Cyp17A1)geneticshearthypertension

Identifiers

PMID26263970
PMCPMC4581202

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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.