Changes in Gene Expression in Healthcare Workers During Night Shifts: Implications for Immune Response and Health Risks
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ABSTRACT:
PROVIDER: PRJNA1186716 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR31363375_1.fastq.gz | Fastqsanger.gz | |||
| SRR31363375_2.fastq.gz | Fastqsanger.gz | |||
| SRR31363376_1.fastq.gz | Fastqsanger.gz | |||
| SRR31363376_2.fastq.gz | Fastqsanger.gz | |||
| SRR31363377_1.fastq.gz | Fastqsanger.gz |
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Project description: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.
2025-03-19 | GSE282051 | GEO
Project description:BackgroundShift work is common in healthcare, especially in emergency and intensive care, to maintain the quality of patient care. Night shifts are linked to health risks such as cardiovascular disease, metabolic disorders, and poor mental health. It has been suggested that inflammatory responses due to the disruption of circadian rhythm may contribute to health risks, but the detailed mechanisms remain unclear. This study aimed to analyze changes in gene expression in whole blood of healthcare workers before and after a night shift and investigate the molecular pathogenesis of these changes and their impact on health.MethodsThis was a single-center, prospective, observational study of four medical doctors working night shifts in the emergency department. Blood samples from the subjects were collected before and after the night shift, and RNA sequencing was performed to analyze changes in gene expression in whole blood. The data obtained were analyzed via Ingenuity Pathway Analysis (IPA) core analysis that included canonical pathway analysis, upstream regulator analysis, and functional network analysis. RNA bulk deconvolution was performed to estimate the relative abundance of immune cells. The IPA analysis match feature was also used to assess similarities of gene expression patterns with other diseases.ResultsWe identified 302 upregulated and 78 downregulated genes (p < 0.05, |log2-fold change|> 0.5) as genes whose expression changed after the night shift. Canonical pathway analysis revealed that Toll-like receptors and other innate immune response pathways were activated. Upstream regulator analysis and functional network analysis also consistently indicated a predicted activation of innate immune and inflammatory responses. RNA bulk deconvolution showed changes in the proportions of several immune cells. IPA analysis match indicated that gene expression patterns after night shifts were highly correlated with several diseases, including major depressive disorder, in terms of immune and inflammatory responses.ConclusionThe results revealed that innate immune and inflammatory responses are elicited after night shifts in healthcare workers and that gene expression patterns correlate with several diseases in terms of immune and inflammatory responses. These findings suggest that shift work may affect health risks through innate immune and inflammatory responses.
| S-EPMC11895378 | biostudies-literature
Project description:Differences in Gut Microbiome Antibiotics Resistance Gene Between Healthcare Workers and the Healthy Population
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Project description:Impact of Technical Sources of Variation on the Hand Microbiome Dynamics of Healthcare Workers
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Project description:Despite the consequences of night-shift work, the diet of night-shift workers has not been widely studied. To date, there are no studies related to food intake among emergency healthcare workers (HCWs). We performed a prospective observational study to assess the influence of night work on the diet of emergency HCWs. We monitored 24-h food intake during a day shift and the consecutive night, and during night work and the daytime beforehand. We analyzed 184 emergency HCWs' food intakes. Emergency HCWs had 14.7% lower (-206 kcal) of their 24-h energy intake during night shifts compared to their day-shift colleagues (1606.7 ± 748.2 vs. 1400.4 ± 708.3 kcal, p = 0.049) and a 16.7% decrease in water consumption (1451.4 ± 496.8 vs. 1208.3 ± 513.9 mL/day, p = 0.010). Compared to day shifts, night-shift had 8.7% lower carbohydrates, 17.6% proteins, and 18.7% lipids. During the night shift the proportion of emergency HCWs who did not drink for 4 h, 8 h and 12 h increased by 20.5%, 17.5%, and 9.1%, respectively. For those who did not eat for 4 h, 8 h and 12 h increased by 46.8%, 27.7%, and 17.7%, respectively. A night shift has a huge negative impact on both the amount and quality of nutrients consumed by emergency healthcare workers.
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Project description:Toxigenic Clostridioides difficile and Vancomycin-resistant Enterococci – new mode of transmission by shoes of healthcare workers? A prospective cohort study.
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Project description:BackgroundAbout one-third of workers identify organisational factors as contributors to workplace violence (WPV), but the associations between these factors and WPV have primarily been explored retrospectively and with measures of perceived organisational constraints, hence providing limited information for prevention. Therefore, we assessed whether objectively measured ward-level indicators of turnover, downsizing, overtime, and night shifts are associated with the occurrence of WPV and whether these associations vary by ward type.MethodsWe conducted an ecological study at a university hospital in northern Italy from 2016 to 2022, using wards as statistical unit (average: 230 wards per year). Active surveillance of WPV was based on an in-hospital incident reporting procedure, updated in November 2021 based on Health Regional Administration guidelines; 2021 was therefore excluded as a transition year. Individual-level administrative data were used to compute ward-level yearly indicators of turnover, downsizing, overtime and night shifts per active worker. Using generalised linear models, we estimated rate ratios (RRs) for yearly WPV counts per 1 SD increase in the indicators, controlling for study period, ward type (emergency department [ED], psychiatric ward, other) and ward sociodemographic composition.ResultsA total of 337 WPV episodes occurred in the 1381 ward-year observations. The WPV rates per 100 active workers per year increased from 1.40 (95%CI: 1.23-1.60) during 2016-2020 to 3.48 (2.90-4.17) in 2022. Higher turnover (RR, 95%CI: 1.47, 1.23-1.75) and downsizing (1.12, 1.00-1.24) were associated with a greater occurrence of WPV across all wards; these associations were consistent across the study periods. In wards with night shift scheduling, turnover (1.64, 1.40-1.92), downsizing (1.21, 1.04-1.40) and the mean number of night shifts (2.50, 1.37-4.56) were associated with WPV. The association between night shifts and WPV was greater in psychiatric wards (RR = 8.73; interaction p-value = 0.02), whereas the role of downsizing was greater in EDs (RR = 1.42, interaction p-value = 0.09) and the role of turnover was greater in the other wards (RR = 1.34, interaction p-value = 0.16).ConclusionWork organisational factors are associated with the occurrence of WPV episodes against healthcare workers. Ward type-tailored priorities should be given to minimising turnover and downsizing and promoting a fairer allocation of night shifts to decrease WPV occurrence.
| S-EPMC11616121 | biostudies-literature
Project description:BackgroundWe compared psychomotor vigilance in female shift workers of the Bergmannsheil University Hospital in Bochum, Germany (N = 74, 94% nurses) after day and night shifts.MethodsParticipants performed a 3-minute Psychomotor Vigilance Task (PVT) test bout at the end of two consecutive day and three consecutive night shifts, respectively. Psychomotor vigilance was analyzed with respect to mean reaction time, percentage of lapses and false starts, and throughput as an overall performance score, combining reaction time and error frequencies. We also determined the reaction time coefficient of variation (RTCV) to assess relative reaction time variability after day and night shifts. Further, we examined the influence of shift type (night vs. day) by mixed linear models with associated 95% confidence intervals (CI), adjusted for age, chronotype, study day, season, and the presence of obstructive sleep apnea (OSA).ResultsAt the end of a night shift, reaction times were increased (β = 7.64; 95% CI 0.94; 14.35) and the number of lapses higher compared to day shifts (exp(β) = 1.55; 95% CI 1.16-2.08). By contrast, we did not observe differences in the number of false starts between day and night shifts. Throughput was reduced after night shifts (β = -15.52; 95% CI -27.49; -3.46). Reaction times improved across consecutive day and night shifts, whereas the frequency of lapses decreased after the third night. RTCV remained unaffected by both, night shifts and consecutive shift blocks.DiscussionOur results add to the growing body of literature demonstrating that night-shift work is associated with decreased psychomotor vigilance. As the analysis of RTCV suggests, performance deficits may selectively be driven by few slow reactions at the lower end of the reaction time distribution function. Comparing intra-individual PVT-performances over three consecutive night and two consecutive day shifts, we observed performance improvements after the third night shift. Although a training effect cannot be ruled out, this finding may suggest better adaptation to the night schedule if avoiding fast-changing shift schedules.
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Project description:Apis mellifera workers in temperate climates display two castes; short lived summer bees that engage in nursing, hive maintenance and foraging, and long lived winter bees (diutinus bees) which remain within the hive and are essential for thermoregulation. Label free quantitative proteomic analysis was conducted on A. mellifera workers sampled from July to October 2019 to compare the proteomes of workers as the colony progresses through the year. Proteomic analysis revealed a shift in protein expression in workers in September and October in comparison to July and August samples. Workers samples in September and October had a higher abundance of proteins associated with oxidative phosphorylation and storage proteins such as hexamerin. Interestingly, a shift in protein expression was detected in newly emerged bees between July to October, providing evidence that workers have adapted to emerge with a different protein profile in preparation for the winter months.
2022-11-21 | PXD032755 | Pride
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