Changes in gene expression in healthcare workers during night shifts: implications for immune response and health risks.

IF 3.8 2区 医学 Q1 CRITICAL CARE MEDICINE Journal of Intensive Care Pub Date : 2025-03-11 DOI:10.1186/s40560-024-00769-5
Ryota Nukiwa, Sayaka Oda, Hisatake Matsumoto, Mohamad Al Kadi, Shuhei Murao, Tsunehiro Matsubara, Shunichiro Nakao, Daisuke Okuzaki, Hiroshi Ogura, Jun Oda
{"title":"Changes in gene expression in healthcare workers during night shifts: implications for immune response and health risks.","authors":"Ryota Nukiwa, Sayaka Oda, Hisatake Matsumoto, Mohamad Al Kadi, Shuhei Murao, Tsunehiro Matsubara, Shunichiro Nakao, Daisuke Okuzaki, Hiroshi Ogura, Jun Oda","doi":"10.1186/s40560-024-00769-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Shift 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.</p><p><strong>Methods: </strong>This 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.</p><p><strong>Results: </strong>We 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.</p><p><strong>Conclusion: </strong>The 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.</p>","PeriodicalId":16123,"journal":{"name":"Journal of Intensive Care","volume":"13 1","pages":"14"},"PeriodicalIF":3.8000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11895378/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Intensive Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40560-024-00769-5","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Shift 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.

Methods: This 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.

Results: We 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.

Conclusion: The 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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Intensive Care
Journal of Intensive Care Medicine-Critical Care and Intensive Care Medicine
CiteScore
11.90
自引率
1.40%
发文量
51
审稿时长
15 weeks
期刊介绍: "Journal of Intensive Care" is an open access journal dedicated to the comprehensive coverage of intensive care medicine, providing a platform for the latest research and clinical insights in this critical field. The journal covers a wide range of topics, including intensive and critical care, trauma and surgical intensive care, pediatric intensive care, acute and emergency medicine, perioperative medicine, resuscitation, infection control, and organ dysfunction. Recognizing the importance of cultural diversity in healthcare practices, "Journal of Intensive Care" also encourages submissions that explore and discuss the cultural aspects of intensive care, aiming to promote a more inclusive and culturally sensitive approach to patient care. By fostering a global exchange of knowledge and expertise, the journal contributes to the continuous improvement of intensive care practices worldwide.
期刊最新文献
The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2024. Changes in gene expression in healthcare workers during night shifts: implications for immune response and health risks. Exploring the scope of inspiratory muscle training in difficult weaning: reflections on the multicentre RCT. Low expression of CD39 on monocytes predicts poor survival in sepsis patients. Population-specific genetic-risk scores enable improved prediction of mortality within 28 days of sepsis onset: a retrospective Taiwanese cohort study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1