Evidence map›Paper›PMID 40301994›Full record

ArticleBiomarker research2025

The overlooked trio: sleep duration, sampling time and physical exercise alter levels of olink-assessed blood biomarkers of cardiovascular risk.

Luiz Eduardo Mateus Brandão, Lei Zhang, Anastasia Grip, Mun-Gwan Hong, Emil Kåks, Rui Benfeitas, Fjola Sigurdardottir, Kaj Blennow, Henrik Zetterberg, Daniel Espes and 4 more

Abstract readLetter
In one paragraph

Article in Biomarker research, 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

14 authors.

Luiz Eduardo Mateus Brandão *Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Lei Zhang *Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Anastasia GripDepartment of Medical Cell Biology, Uppsala University, Uppsala, Sweden.
Mun-Gwan HongSciLifeLab, Stockholm University, Stockholm, Sweden.
Emil KåksDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Rui BenfeitasSciLifeLab, Stockholm University, Stockholm, Sweden.
Fjola SigurdardottirK.G. Jebsen Centre for Cardiac Biomarkers, University of Oslo, Oslo, Norway.
Kaj BlennowClinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.
Henrik ZetterbergClinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.
Daniel EspesDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Torbjørn OmlandK.G. Jebsen Centre for Cardiac Biomarkers, University of Oslo, Oslo, Norway.
Payam Emami KhoonsariSciLife Lab, Uppsala University, Uppsala, Sweden.
Christian BenedictDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Jonathan CedernaesDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden. jonathan.cedernaes@medsci.uu.se.

Funding

Cancerfonden 22 2476 PjDiabetesfonden DIA2023-820European Union's Horizon Europe research and innovation program under the Marie Skłodowska-Curie grant agreement 101152757Forskningsrådet om Hälsa, Arbetsliv och Välfärd 2021-00057Fredrik och Ingrid Thurings Stiftelse 2023-067Hjärnfonden FO2023-0420Horizon 2020 965422Novo Nordisk Fonden NNF23OC0081873Stiftelsen Lars Hiertas Minne FO2024-0746Vetenskapsrådet 2022-00732Vetenskapsrådet 2022-02708Vetenskapsrådet 2023-00356
6 · The paper itself

Abstract

Biomarker profiling from biofluids such as blood are widely measured in clinical research, using for example Olink proteomics panels. One such research focus area is cardiovascular disease (CVD), for which chronic sleep restriction (SR) is a risk factor. However, it remains unclear whether blood levels of commonly measured CVD biomarkers are sensitive to acute dynamic factors such as SR, physical exercise (PEx), and time of day. In this crossover design, 16 normal-weight, healthy men underwent three highly standardized in-lab nights of SR (4.25 h/night) and normal sleep (NS, 8.5 h/night) in randomized order, with 88 CVD blood protein biomarkers quantified using the Olink technology (and selected validation using ELISA) in the morning, evening, and immediately before and repeatedly after 30 min of high-intensity exercise. We found significant time-of-day-dependent changes in several CVD biomarkers. Whereas several proteins were exercise-induced across sleep conditions (such as the canonical exerkines IL- 6 and BDNF), exercise-induced proteomic dynamics differed in response to recurrent SR, compared with following NS. Moreover, SR compared with NS resulted in a biomarker profile previously associated with increased prospective risk of several CVDs across large-scale cohorts (such as higher circulating levels of IL-27 and LGALS9). Our findings highlight how dynamic physiology can modulate CVD biomarker levels. These results also underscore the need to consider sleep duration as a key determinant of cardiovascular health-an emphasis reflected in recent American Heart Association guidelines. Further studies in women, older individuals, and patients with prior CVD, and across different chronotypes and dietary schedules are warranted.

Indexed as

Aerobic ExerciseCardiometabolic Risk FactorsCardiovascular Disease RiskInflammationSleep Curtailment

Identifiers

PMID40301994
PMCPMC12038921

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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 OpenQuestion graph.