Evidence map›Paper›PMID 40723358›Full record

ArticleBiology2025

Timing and Amplitude of Light Exposure, Not Photoperiod, Predict Blood Lipids in Arctic Residents: A Circadian Light Hypothesis.

Denis Gubin, Sergey Kolomeichuk, Konstantin Danilenko, Oliver Stefani, Alexander Markov, Ivan Petrov, Kirill Voronin, Marina Mezhakova, Mikhail Borisenkov, Aislu Shigabaeva and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

15 authors.

Denis GubinDepartment of Biology, Tyumen Medical University, 625023 Tyumen, Russia.ORCID 0000-0003-2028-1033
Sergey KolomeichukLaboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia.ORCID 0000-0003-3104-3639
Konstantin DanilenkoLaboratory for Chronobiology and Chronomedicine, Research Institute of Biomedicine and Biomedical Technologies, Tyumen Medical University, 625023 Tyumen, Russia.ORCID 0000-0002-2096-4216
Oliver StefaniDepartment Engineering and Architecture, Lucerne University of Applied Sciences and Arts, 6048 Horw, Switzerland.ORCID 0000-0003-0199-6500
Alexander MarkovLaboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia.
Ivan PetrovDepartment of Biological & Medical Physics UNESCO, Medical University, 625023 Tyumen, Russia.
Kirill VoroninLaboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia.
Marina MezhakovaLaboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia.
Mikhail BorisenkovDepartment of Molecular Immunology and Biotechnology, Institute of Physiology of the Federal Research Centre Komi Science Centre of the Ural Branch of the Russian Academy of Sciences, 167982 Syktyvkar, Russia.ORCID 0000-0002-4310-2010
Aislu ShigabaevaLaboratory for Chronobiology and Chronomedicine, Research Institute of Biomedicine and Biomedical Technologies, Tyumen Medical University, 625023 Tyumen, Russia.ORCID 0009-0003-9782-2413
Julia BoldyrevaLaboratory for Chronobiology and Chronomedicine, Research Institute of Biomedicine and Biomedical Technologies, Tyumen Medical University, 625023 Tyumen, Russia.
Julianna PetrovaDepartment of Biological & Medical Physics UNESCO, Medical University, 625023 Tyumen, Russia.
Larisa AlkhimovaSchool of Natural Sciences, University of Tyumen, 15a Perekopskaya St., 625003 Tyumen, Russia.ORCID 0000-0001-6571-6526
Dietmar WeinertInstitute of Biology/Zoology, Martin Luther University, Halle-Wittenberg, 06120 Halle, Germany.
Germaine CornelissenDepartment of Integrated Biology and Physiology, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-1698-1590

Funding

West-Siberian Science and Education Center, Government of Tyumen District, Decree of 20 November 2020. 928-rp.
6 · The paper itself

Abstract

In Arctic residents, blood lipids fluctuate seasonally in response to changes in light exposure (LE) patterns. This study investigates which aspects of LE (timing, dynamic range, and duration) are related to lipid profiles. We analyzed actigraphy data measuring LE and blue light exposure (BLE) along with blood determinations from 27 residents across different seasons. We assessed circadian parameters of melatonin in a subset of participants. We found that features of BLE and melatonin significantly predicted lipids: An earlier BLE acrophase was associated with higher HDL-C (β = -0.246,

Indexed as

arcticblood lipidscircadian rhythmhigh-density lipoprotein cholesterollight dynamic rangelight exposurelow-density lipoprotein cholesterolphasephotoperiodtriglycerides

Identifiers

PMID40723358
PMCPMC12292709

What Socratic holds

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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.