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Changes in Gene Expression in Healthcare Workers During Night Shifts: Implications for Immune Response and Health Risks

GSE282051 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2025/03/19 Platform GPL24676
Summary
Purpose: This study aimed to analyze gene expression changes in the whole blood of healthcare workers before and after a night shift, to investigate the molecular mechanisms underlying these changes and their potential impact on health. Methods: A single-center, prospective, observational study was conducted involving four medical doctors working night shifts in the emergency department. Blood samples were collected at 10 a.m. on the day of work and at 10 a.m. the following day after the shift. RNA sequencing was performed to analyze gene expression changes, followed by Ingenuity Pathway Analysis (IPA) for core analysis and analysis match. Results: A total of 302 genes were upregulated, and 78 genes were downregulated (p < 0.05, |log2-fold change| > 0.5) after the night shift. Core analysis consistently predicted the activation of immune and inflammatory responses. Analysis match indicated that gene expression patterns after the night shift correlated with several diseases, including major depressive disorder, based on immune and inflammatory response profiles.
Published in
Changes in gene expression in healthcare workers during night shifts: implications for immune response and health risks
Nukiwa R, Oda S, Matsumoto H et al. · Journal of intensive care 2025 · PMID 40069845 · doi:10.1186/s40560-024-00769-5
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Direct links to NCBI, no account and no request form: the whole study as GSE282051_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1186716 and SRA study SRP545504. Searching any of these in the dataset finder brings you back here.

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