Evidence map›Paper›PMID 40329991›Full record

ArticleEuropean heart journal open2025

Morbidity-bridging metabolic pathways: linking early cardiovascular disease risk and depression symptoms using a multi-modal approach.

Angela Koloi, Arja Rydin, Yuri Milaneschi, Femke Lamers, Jos A Bosch, Emma Pruin, Sander W van der Laan, Pashupati P Mishra, Terho Lehtimäki, Mika Kähönen and 3 more

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Article in European heart journal open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Angela KoloiUnit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.ORCID https://orcid.org/0009-0001-8197-3749
Arja RydinDepartment of Psychiatry, Amsterdam UMC Location Vrije Universiteit Amsterdam, Boelelaan, Amsterdam 1117, The Netherlands.ORCID https://orcid.org/0000-0002-5525-3350
Yuri MilaneschiDepartment of Psychiatry, Amsterdam UMC Location Vrije Universiteit Amsterdam, Boelelaan, Amsterdam 1117, The Netherlands.ORCID https://orcid.org/0000-0002-3697-6617
Femke LamersDepartment of Psychiatry, Amsterdam UMC Location Vrije Universiteit Amsterdam, Boelelaan, Amsterdam 1117, The Netherlands.ORCID https://orcid.org/0000-0003-4344-5766
Jos A BoschDepartment of Clinical Psychology, University of Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0001-7780-4806
Emma PruinDepartment of Psychiatry, Amsterdam UMC Location Vrije Universiteit Amsterdam, Boelelaan, Amsterdam 1117, The Netherlands.ORCID https://orcid.org/0009-0001-9702-4185
Sander W van der LaanCentral Diagnostic Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, The Netherlands.ORCID https://orcid.org/0000-0001-6888-1404
Pashupati P MishraDepartment of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID https://orcid.org/0000-0001-5177-3431
Terho LehtimäkiDepartment of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID https://orcid.org/0000-0002-2555-4427
Mika KähönenFaculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.ORCID https://orcid.org/0000-0002-4510-7341
Olli T RaitakariResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.ORCID https://orcid.org/0000-0001-9365-3702
Dimitrios I FotiadisUnit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.ORCID https://orcid.org/0000-0002-7362-5082
Rick QuaxComputational Science Lab, Institute of Informatics, University of Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-0299-0074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Prevalence of cardiovascular diseases (CVDs) and depression is rising globally. Their co-occurrence associates with poorer outcomes, potentially due to shared metabolic pathways. This study aimed to identify metabolic pathways linking depression symptoms and CVD risk factors. Methods and results: Data from the Young Finns Study (YFS, Conclusion: This study integrated three statistical techniques and identified two metabolic markers (glucose, omega-3 FAs) connecting depression and CVD on a symptom and risk factor level. The associations, established in a relatively young cohort, were replicated in a predominantly middle-aged cohort and emphasize both the generalizability of the findings across different populations and value of symptom-level analysis in depression and CVD comorbidity research.

Indexed as

Cardiovascular diseasesComorbidityDepressionNetwork analysis

Identifiers

PMID40329991
PMCPMC12053008

What Socratic holds

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Registered trials

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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 Socratic graph.