Jan 2026· International Journal of Hypertension· Vol 2026· 0 citations· 131 references
Medicine
TL;DR
This structured narrative review synthesizes RH‐specific metabolomic evidence and distinguishes it from findings extrapolated from broader hypertension populations, and discusses methodological challenges, replication gaps, pharmacometabolomic confounding, and validation standards required for clinical implementation.
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.
Background Cardiovascular disease (CVD) remains a leading global health burden, with conventional risk factors lacking sufficient predictive power. Gut microbiota-derived aromatic amino acid (AAA) metabolites and oxidative tyrosine post-translational modifications (PTMs) have emerged as novel pathophysiological regulat...
Yu-rong Wu, Rui Xu· Frontiers in Cardiovascular...· 0 citations
Recent findings from large population-based studies are described to illustrate the value of proteomics in cardiology for improved risk prediction, diagnosis and patient stratification; better understanding of disease aetiology and pathophysiology; and identification of repurposing and novel therapeutic targets.
A staged precision-prevention agenda should test source-selective interventions in biomarker-enriched cohorts using vascular and mechanistic endpoints before large outcome trials, as well as propose a staged framework for precision cardiovascular prevention.
Yasser M. Esmaeil, Marjona Nurillaeva, Aamir Khan et al.· Journal of Clinical and Tran...· 0 citations
Whether data-driven clustering based on metabolomic biomarkers could define distinct prediabetes subtypes with differential type 2 diabetes, cardiovascular disease, and chronic kidney disease risk is examined and metabolomics-based subtypes may improve risk stratification and support precision prevention strategies.
Fei Chen, Yang Zhang, Weihao Wang et al.· Diabetes· 0 citations
Atherosclerotic cardiovascular disease (ASCVD) remains the leading cause of morbidity and mortality worldwide, driven by complex interactions among dyslipidemia, chronic inflammation, insulin resistance, endothelial dysfunction, and gut microbiome-derived metabolites. This review synthesizes mechanistic and clinical ev...
Tatyana I. Kovyanova, M. Nerush, V. P. Karagodin et al.· Biomedicines· 0 citations
1H NMR-based urine metabolomics has potential as a scalable platform for non-invasive phenotyping and holds considerable promise for personalized medicine once technical and translational barriers are addressed.
Qiong Yang, Zhou Zhou, Ya-Hui Lin· Health and Metabolism· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.