Evidence map›Paper›PMID 42794559›Full record

ArticleInternational journal of molecular sciences2026

A Molecular Diagnostic Approach for Hypertension Through Establishment of a Metabolite Risk Score Using a Multi-Metabolite Panel Identified via UHPLC-MS/MS.

Youngmin Han, Hye Jin Yoo

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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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

2 authors.

Youngmin HanSchool of Biomedical Health Science and Engineering, College of Engineering, University of Ulsan, Ulsan 44610, Republic of Korea.ORCID 0000-0001-5517-3396
Hye Jin YooInstitute for Specialized Teaching and Research (INSTAR), Inha University, Incheon 22212, Republic of Korea.ORCID 0000-0003-2075-0426

Funding

National Research Foundation of Korea RS-2022-NR070065
6 · The paper itself

Abstract

Hypertension (HTN) is often asymptomatic and difficult to detect using blood pressure (BP) measurements unless BP is substantially elevated. Given its association with metabolic alterations and complications, this study aimed to establish a metabolite risk score (MRS) as a molecular tool to complement BP-based diagnosis. Plasma samples and clinical data from healthy individuals and HTN patients were obtained through the Korea Biobank Network, and non-targeted metabolomics was performed. Eight HTN-associated key metabolites were selected by least absolute shrinkage and selection operator (LASSO) regression. An MRS was calculated as their weighted sum in the discovery set and subsequently validated in the replication set. The MRS showed strong discriminative performance for HTN status in the replication set [area under the curve (AUC) = 0.926, 95% confidence interval (CI): 0.876-0.976] and remained significantly associated with prevalent HTN after adjustment for age and BMI [odds ratio (OR) = 1.747, 95% CI: 1.317-2.318,

Indexed as

HypertensionMetabolomeMetabolomicsMolecular Diagnostic TechniquesAdultAgedBiomarkersBlood PressureChromatography, High Pressure LiquidFemaleHumansMaleMiddle AgedRisk FactorsTandem Mass SpectrometryBiomarkersdiscriminative performancehypertensionmetabolite risk scoremetabolomicsmolecular diagnosis

Identifiers

PMID42794559
PMCPMC13607471

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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 OpenQuestion graph.