ReviewInternational journal of hypertension2026
Metabolomics and Precision Medicine in Resistant Hypertension: Pathophysiological Insights, Biomarker Discovery, and Translational Strategies.
Review in International journal of hypertension, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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.
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Authors and funding
4 authors.
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Abstract
Resistant hypertension (RH), defined as uncontrolled blood pressure despite the use of at least three optimally dosed antihypertensive agents, including a diuretic, remains a major clinical challenge associated with elevated cardiovascular risk. Metabolomics offers a dynamic approach to characterize biochemical perturbations related to amino acid metabolism, lipid remodeling, mitochondrial dysfunction, oxidative stress, renal impairment, and gut microbiota-derived metabolites. However, current evidence remains limited by small sample sizes, cross-sectional designs, heterogeneous definitions of RH, inadequate exclusion of pseudoresistance, medication confounding, and limited external validation. This structured narrative review synthesizes RH-specific metabolomic evidence and distinguishes it from findings extrapolated from broader hypertension populations. We further discuss methodological challenges, replication gaps, pharmacometabolomic confounding, and validation standards required for clinical implementation. Integrating metabolomics with clinical phenotyping, genomics, proteomics, and microbiome profiling may eventually support RH phenotyping, treatment-response prediction, and biomarker-guided precision medicine, but large longitudinal cohorts with confirmed true RH are needed before clinical translation.
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