Evidence map›Paper›PMID 28161100›Full record

ReviewThe Canadian journal of cardiology2017

The Future of "Omics" in Hypertension.

Gemma Currie, Christian Delles

Open access · hybridAbstract readReview
In one paragraph

Review in The Canadian journal of cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.1field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. RSSDI Guidelines for the management of hypertension in patients with diabetes mellitus.International journal of diabetes in developing countries · 2022
    Review
  9. Application of omics in hypertension and resistant hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Blood pressure targets in the elderly.Journal of hypertension · 2018
    Article
  16. Genetic Programming of Hypertension.Frontiers in pediatrics · 2017
    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

2 authors at 1 institution in 1 country.

Gemma CurrieInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Scotland, United Kingdom.
Christian DellesInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Scotland, United Kingdom. Electronic address: christian.delles@glasgow.ac.uk.
University of Glasgow · GB

Funding

British Heart Foundation RE/13/5/30177Medical Research Council MR/N005813/1
6 · The paper itself

Abstract

Despite decades of research and clinical practice, the pathogenesis of hypertension remains incompletely understood, and blood pressure is often suboptimally controlled. "Omics" technologies allow the description of a large number of molecular features and have the potential to identify new factors that contribute to blood pressure regulation and how they interact. In this review, we focus on the potential of genomics, transcriptomics, proteomics, and metabolomics and explore their roles in unraveling the pathophysiology and diagnosis of hypertension, the prediction of organ damage and treatment response, and monitoring treatment effect. Substantial progress has been made in the area of genomics, in which genome-wide association studies have identified > 50 blood pressure-related, single-nucleotide polymorphisms, and sequencing studies (especially in secondary forms of hypertension) have discovered novel regulatory pathways. In contrast, other omics technologies, despite their ability to provide detailed insights into the physiological state of an organism, have only more recently demonstrated their impact on hypertension research and clinical practice. The majority of current proteomic studies focus on organ damage resulting from hypertension and may have the potential to help us understand the link between blood pressure and organ failure but also serve as biomarkers for early detection of cerebrovascular or coronary disease. Examples include signatures for early detection of left ventricular dysfunction or albuminuria. Metabolomic studies have the potential to integrate environmental and intrinsic factors and are particularly suited to monitor the response to treatment. We discuss examples of omics studies in hypertension and explore the challenges related to these novel technologies.

Indexed as

GenomicsHypertensionMetabolomicsProteomicsBiomarkersBiomedical TechnologyBlood PressureGenome-Wide Association StudyHumansPolymorphism, Single NucleotidePrognosisRisk FactorsBiomarkers

Identifiers

PMID28161100
PMCPMC5417769
OpenAlexW2560835389

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.