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Metabolomics in hypertension
Open accessAbstract
Hypertension is the most prevalent chronic medical condition and a major risk factor for cardiovascular morbidity and mortality. In the majority of hypertensive cases, the underlying cause of hypertension cannot be easily identified because of the heterogeneous, polygenic and multi-factorial nature of hypertension. Metabolomics is a relatively new field of research that has been used to evaluate metabolic perturbations associated with disease, identify disease biomarkers and to both assess and predict drug safety and efficacy. Metabolomics has been increasingly used to characterize risk factors for cardiovascular disease, including hypertension, and it appears to have significant potential for uncovering mechanisms of this complex disease. This review details the analytical techniques, pre-analytical steps and study designs used in metabolomics studies, as well as the emerging role for metabolomics in gaining mechanistic insights into the development of hypertension. Suggestions as to the future direction for metabolomics research in the field of hypertension are also proposed.
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“To date, metabolomics studies of hypertension are limited, but changes in lipid and fatty acid profiles have been reported229.”
From The gut microbiota and the brain–gut–kidney axis in hypertension and chronic kidney disease (2018) · cites this paper as [229]
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Metadata
- Authors
- Nikolic, S. B., Sharman, J. E., Adams, M. J., & Edwards, L. M.
- Affiliations
- University of Tasmania (AU)
- King's College London (GB)
- Corresponding author
- Edwards, Lindsay M.
- Venue
- Journal of Hypertension
- Published
- 2014-06
- Volume
- 32
- Issue
- 6
- Pages
- 1159-1169
- ISSN
- 0263-6352 (ISSN-L)
- OpenAlex
- W2087492315
- Cited by
- 79
- References
- 85
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 3 · 2023: 8 · 2022: 7 · 2021: 12 · 2020: 8 · 2019: 1 · 2018: 12 · 2017: 6 · 2016: 8 · 2015: 3 · 2014: 3
- FWCI
- 0.63
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- cc-by
- Locations
- Journal of Hypertension (publishedVersion)
- PubMed (publishedVersion)
- Murdoch University Research Portal (submittedVersion)
- eCite Digital Repository (University of Tasmania) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Research Portal (King's College London) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
- Keywords
- hypertension, metabolomics, cardiovascular risk factors, disease biomarkers, metabolic perturbation, hypertension pathogenesis, analytical methods
- MeSH terms
- Animals, Cardiovascular Diseases, Clinical Trials as Topic, Humans, Hypertension, Magnetic Resonance Spectroscopy, Risk Factors, Mass Spectrometry, Reproducibility of Results, Biomarkers, Metabolomics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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