Evidence mapPaperPMID 42453631Full record

ReviewInternational journal of hypertension2026

Metabolomics and Precision Medicine in Resistant Hypertension: Pathophysiological Insights, Biomarker Discovery, and Translational Strategies.

Yu Ra Lee, Miri Park, Yoon Shin Cho, Ho-Young Park

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yu Ra LeeFood Functionality Research Division, Korea Food Research Institute, Wanju-gun, Jeollabuk-do, 55365, South Korea, kfri.re.kr.ORCID https://orcid.org/0000-0002-1258-5363
Miri ParkFood Functionality Research Division, Korea Food Research Institute, Wanju-gun, Jeollabuk-do, 55365, South Korea, kfri.re.kr.
Yoon Shin ChoDepartment of Biomedical Science, Hallym University, Chuncheon-si, Gangwon-do, 24252, South Korea, hallym.ac.kr.ORCID https://orcid.org/0000-0002-7121-3471
Ho-Young ParkFood Functionality Research Division, Korea Food Research Institute, Wanju-gun, Jeollabuk-do, 55365, South Korea, kfri.re.kr.ORCID https://orcid.org/0000-0002-9966-9059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

biomarker discoverymetabolomicsmultiomicsprecision medicineresistant hypertension

Identifiers

PMID42453631
PMCPMC13366778

What Socratic 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 Socratic graph.