Evidence map›Paper›PMID 40069276›Full record

ArticleScientific reports2025

Pathway level metabolomics analysis identifies carbon metabolism as a key factor of incident hypertension in the Estonian Biobank.

Liis Hiie, Anastassia Kolde, Natalia Pervjakova, Anu Reigo, Estonian Biobank Research Team, Erik Abner, Urmo Võsa, Tõnu Esko, Krista Fischer, Priit Palta and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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

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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

11 authors.

Liis HiieEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Anastassia KoldeEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Natalia PervjakovaEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Anu ReigoEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Estonian Biobank Research Team
Erik AbnerEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Urmo VõsaEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Tõnu EskoEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Krista FischerEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Priit PaltaEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Jaanika KronbergEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia. jaanika.kronberg@ut.ee.

Funding

Eesti Teadusagentuur PRG1197Eesti Teadusagentuur PRG1291European Regional Development Fund MOBEC008Horizon 2020 810645Horizon 2020 894987Horizon 2020 Framework Programme 874627HORIZON EUROPE Framework Programme 101060011
6 · The paper itself

Abstract

The purpose of this study was to find metabolic changes associated with incident hypertension in the volunteer-based Estonian Biobank. We used a subcohort of the Estonian Biobank where metabolite levels had been measured by mass-spectrometry (LC-MS, Metabolon platform). We divided annotated metabolites of 989 individuals into KEGG pathways, followed by principal component analysis of metabolites in each pathway, resulting in a dataset of 91 pathway components. Next, we defined incident hypertension cases and controls based on electronic health records, resulting in a dataset of 101 incident hypertension cases and 450 controls. We used Cox proportional hazards models and replicated the results in a separate cohort of the Estonian Biobank, assayed with LC-MS dataset of the Broad platform and including 582 individuals. Our results show that body mass index and a component of the carbon metabolism KEGG pathway are associated with incident hypertension in both discovery and replication cohorts. We demonstrate that a high-dimensional dataset can be meaningfully reduced into informative pathway components that can subsequently be analysed in an interpretable way, and replicated in a metabolomics dataset from a different platform.

Indexed as

CarbonHypertensionMetabolomicsAdultAgedBiological Specimen BanksBody Mass IndexCase-Control StudiesEstoniaFemaleHumansIncidenceMaleMetabolic Networks and PathwaysMiddle AgedCarbonBiobankData-drivenHypertensionIncident diseaseMetabolomicsPathways

Identifiers

PMID40069276
PMCPMC11897224

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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.