ArticleFrontiers in public health2023
Metabolomic profiles in night shift workers: A cross-sectional study on hospital female nurses.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Involvement of Serotonin in the Obesity Pathway-A Last Decade Systematic Review of the Literature.International journal of molecular sciences · 2025Pooled it
- Εndogenous metabolomic responses in circadian disrupted night shift working populations: a scoping review.Journal of the National Cancer Center · 2026Review
- Chronic Insomnia and Stroke Risk-A Real Bidirectional Issue.Life (Basel, Switzerland) · 2025Review
- BTEX chrono-metabolism and leukemogenic effects of night shift work in workers of gasoline stations: the EXPOSOWORK prospective panel study in Bulgaria.Journal of the National Cancer Center · 2025Article
- Insomnia, Cognitive Impairment, or a Combination of Both, Alter Lipid Metabolism Due to Changes in Acylcarnitine Concentration in Older Persons.Metabolites · 2025Article
- Comprehensive Blood Metabolome and Exposome Analysis, Annotation, and Interpretation in E-Waste Workers.Metabolites · 2024Article
- The Impact of Night Work on the Sleep and Health of Medical Staff-A Review of the Latest Scientific Reports.Journal of clinical medicine · 2024Review
- Latent profile analysis of nurses' perceived professional benefits in China: a cross-sectional study.BMJ open · 2023Article
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Authors and funding
9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background and aim: Shift work, especially including night shifts, has been found associated with several diseases, including obesity, diabetes, cancers, and cardiovascular, mental, gastrointestinal and sleep disorders. Metabolomics (an omics-based methodology) may shed light on early biological alterations underlying these associations. We thus aimed to evaluate the effect of night shift work (NSW) on serum metabolites in a sample of hospital female nurses. Methods: We recruited 46 nurses currently working in NSW in Milan (Italy), matched to 51 colleagues not employed in night shifts. Participants filled in a questionnaire on demographics, lifestyle habits, personal and family health history and work, and donated a blood sample. The metabolome was evaluated through a validated targeted approach measuring 188 metabolites. Only metabolites with at least 50% observations above the detection limit were considered, after standardization and log-transformation. Associations between each metabolite and NSW were assessed applying Tobit regression models and Random Forest, a machine-learning algorithm. Results: When comparing current vs. never night shifters, we observed lower levels of 21 glycerophospholipids and 6 sphingolipids, and higher levels of serotonin (+171.0%, 95%CI: 49.1-392.7), aspartic acid (+155.8%, 95%CI: 40.8-364.7), and taurine (+182.1%, 95%CI: 67.6-374.9). The latter was higher in former vs. never night shifters too (+208.8%, 95%CI: 69.2-463.3). Tobit regression comparing ever (i.e., current + former) and never night shifters returned similar results. Years worked in night shifts did not seem to affect metabolite levels. The Random-Forest algorithm confirmed taurine and aspartic acid among the most important variables in discriminating current vs. never night shifters. Conclusions: This study, although based on a small sample size, shows altered levels of some metabolites in night shift workers. If confirmed, our results may shed light on early biological alterations that might be related to adverse health effects of NSW.
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