Open Access
CC BY-NC-ND 4.0 · Sleep Sci 2025; 18(S 02): S1-S40
DOI: 10.1055/s-0045-1812718
ID: 37

Untargeted Proteomics in EPHOR Night Shift Cohort

Authors

  • Evi Dde Ryck

    1   Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium

  • Barbara N. Harding

    2   Barcelona Institute for Global Health (ISGLOBAL), Barcelona, Spain

  • Karin Broberg

    3   College of Population Health, University of New Mexico, Albuquerque, United States

  • Anne Helene Garde

    4   Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden

  • Anjoeka Pronk

    5   The National Research Centre for the Working Environment, Copenhagen, Denmark

  • Manolis Kogevinas

    2   Barcelona Institute for Global Health (ISGLOBAL), Barcelona, Spain

  • Lode Godderis

    1   Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium

  • Manosij Ghosh

    1   Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium
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Introduction: Night shift work is associated with several adverse health effects. Untargeted proteomics can help elucidate underlying biological mechanisms by analyzing protein expression and pathway alterations.

Methods: Within the EU Exposome Project for Health and Occupational Research (EPHOR), we recruited 300 night and day shift workers in Spain, Sweden, and Denmark. Plasma samples were prepared with PreOmics® iST-BCT and analyzed using the EvoSEPZenoTOF platform, employing 100SPD method with 11-minute gradient in data-independent mode. Preprocessing was performed using Spectronaut (v19) under default settings. Potential confounders assessed in the analyses include age, sex, medication use, smoking status, and study center.

Results: Preliminary data include 107 permanent night shift workers, 67 rotating night shift workers, and 126 permanent day workers with ages of 44.71 (± 11.26), 37.33 (± 10.48), and 46.36 (± 11.15) years, respectively. Participants worked in the health care sector and consisted of 30 men and 270 women with 153 never smokers, 94 former smokers, and 51 smokers. For 75% of samples we identified a minimum of 2,472 peptides (range: 914–4,147) mapping to 407 proteins (range: 176- 608). Ongoing analyses include differential expression across shift groups, followed by gene enrichment and pathway and network analysis. In addition, night shift intensity, frequency, and total duration working night shifts will be investigated.

Conclusion: This large-scale proteomic assessment in night shift workers will provide unique insights in biological mechanisms, short-term and long-term health effects of night shift work. Support: EPHOR is funded by the European Union’s Horizon 2020 research and innovation program under grant agreement 874703. Parts of the data processing were performed in collaboration with EXIMIOUS, funded by European Union’s Horizon 2020 research and innovation program under grant agreement 874707.



Publikationsverlauf

Artikel online veröffentlicht:
08. Oktober 2025

© 2025. Brazilian Sleep Academy. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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