Literature DB >> 28990522

Untargeted Metabolomics Provides Insight into the Mechanisms Underlying Resistant Hypertension.

Renata Wawrzyniak1, Arlette Yumba Mpanga1, Wiktoria Struck-Lewicka1, Marta Kordalewska1, Katarzyna Polonis2, Małgorzata Patejko1, Monika Mironiuk1, Anna Szyndler2, Marzena Chrostowska2, Michał Hoffmann2, Ryszard T Smoleński3, Roman Kaliszan1, Krzysztof Narkiewicz2,4, Michał J Markuszewski1.   

Abstract

BACKGROUND: Resistant hypertension (RH) affects about 15-20% of treated hypertensive patients worldwide. RH increases the risk of cardiovascular events such as myocardial infarction and stroke by 50%. The pathological mechanisms underlying resistance to treatment are still poorly understood.
OBJECTIVE: The main goal of this pilot study was to determine and compare plasma metabolomic profiles in resistant and non-resistant hypertensive patients.
METHODS: We applied untargeted metabolomic profiling in plasma samples collected from 69 subjects with RH and 81 subjects with controlled hypertension. To confirm patients' compliance to antihypertensive treatment, levels of selected drugs and their metabolites were determined in plasma samples with the LC-ESI-TOF/MS technique.
RESULTS: The results showed no statistically significant differences in the administration of antihypertensive drug in the compared groups. We identified 19 up-regulated and 13 downregulated metabolites in the RH.
CONCLUSION: The metabolites altered in RH are linked to oxidative stress and inflammation, endothelium dysfunction, vasoconstriction and cell proliferation. Our results may generate new hypothesis about RH development and progression. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Resistant hypertension; biomarker candidates; liquid chromatography; mass spectrometry; metabolomics; multivariate analysis.

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Year:  2019        PMID: 28990522     DOI: 10.2174/0929867324666171006122656

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  2 in total

Review 1.  Application of omics in hypertension and resistant hypertension.

Authors:  Jiuqi Guo; Xiaofan Guo; Yingxian Sun; Zhao Li; Pengyu Jia
Journal:  Hypertens Res       Date:  2022-03-09       Impact factor: 3.872

Review 2.  Rapidity and Precision of Steroid Hormone Measurement.

Authors:  Shigehiro Karashima; Issey Osaka
Journal:  J Clin Med       Date:  2022-02-12       Impact factor: 4.241

  2 in total

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