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McDermott JE, Jacobs JM, Merrill NJ, Mitchell HD, Arshad OA, McClure R, Teeguarden J, Gajula RP, Porter KI, Satterfield BC, Lundholm KR, Skene DJ, Gaddameedhi S, Dongen HPAV. Molecular-Level Dysregulation of Insulin Pathways and Inflammatory Processes in Peripheral Blood Mononuclear Cells by Circadian Misalignment. J Proteome Res 2024; 23:1547-1558. [PMID: 38619923 DOI: 10.1021/acs.jproteome.3c00418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Abstract
Circadian misalignment due to night work has been associated with an elevated risk for chronic diseases. We investigated the effects of circadian misalignment using shotgun protein profiling of peripheral blood mononuclear cells taken from healthy humans during a constant routine protocol, which was conducted immediately after participants had been subjected to a 3-day simulated night shift schedule or a 3-day simulated day shift schedule. By comparing proteomic profiles between the simulated shift conditions, we identified proteins and pathways that are associated with the effects of circadian misalignment and observed that insulin regulation pathways and inflammation-related proteins displayed markedly different temporal patterns after simulated night shift. Further, by integrating the proteomic profiles with previously assessed metabolomic profiles in a network-based approach, we found key associations between circadian dysregulation of protein-level pathways and metabolites of interest in the context of chronic metabolic diseases. Endogenous circadian rhythms in circulating glucose and insulin differed between the simulated shift conditions. Overall, our results suggest that circadian misalignment is associated with a tug of war between central clock mechanisms controlling insulin secretion and peripheral clock mechanisms regulating insulin sensitivity, which may lead to adverse long-term outcomes such as diabetes and obesity. Our study provides a molecular-level mechanism linking circadian misalignment and adverse long-term health consequences of night work.
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Affiliation(s)
- Jason E McDermott
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
- Department of Molecular Microbiology and Immunology, Oregon Health and Science University, Portland, Oregon 97239, United States
| | - Jon M Jacobs
- Environmental and Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Nathaniel J Merrill
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Hugh D Mitchell
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Osama A Arshad
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Ryan McClure
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Justin Teeguarden
- Environmental and Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Rajendra P Gajula
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington 99202, United States
| | - Kenneth I Porter
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington 99202, United States
| | - Brieann C Satterfield
- Sleep and Performance Research Center, Washington State University, Spokane, Washington 99202, United States
- Department of Translational Medicine and Physiology, Washington State University, Spokane, Washington 99202, United States
| | - Kirsie R Lundholm
- Sleep and Performance Research Center, Washington State University, Spokane, Washington 99202, United States
- Department of Translational Medicine and Physiology, Washington State University, Spokane, Washington 99202, United States
| | - Debra J Skene
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, United Kingdom
| | - Shobhan Gaddameedhi
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, United States
- Center for Human Health and the Environment, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Hans P A Van Dongen
- Sleep and Performance Research Center, Washington State University, Spokane, Washington 99202, United States
- Department of Translational Medicine and Physiology, Washington State University, Spokane, Washington 99202, United States
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2
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Rentería I, García-Suárez PC, Moncada-Jiménez J, Machado-Parra JP, Antunes BM, Lira FS, Jiménez-Maldonado A. Unhealthy Dieting During the COVID-19 Pandemic: An Opinion Regarding the Harmful Effects on Brain Health. Front Nutr 2022; 9:876112. [PMID: 35571935 PMCID: PMC9097874 DOI: 10.3389/fnut.2022.876112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 03/29/2022] [Indexed: 11/13/2022] Open
Abstract
Since 2020, the world has been suffering from a pandemic that has affected thousands of people regardless of socio-economic conditions, forcing the population to adopt different strategies to prevent and control the advance of the disease, one of which is social distancing. Even though social distancing is a safe strategy to reduce the spread of COVID-19, it is also the cause of a rising sedentary behavior. This behavior develops an excess of fat tissue that leads to metabolic and inflammatory disruption related to chronic diseases and mental health disorders, such as anxiety, depression, and sleep issues. Furthermore, the adoption of dietary patterns involving the consumption of ultra-processed foods, higher in fats and sugars, and the reduction of fresh and healthy foods may play a role in the progress of the disease. In this perspective, we will discuss how an unhealthy diet can affect brain function and, consequently, be a risk factor for mental health diseases.
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Affiliation(s)
- Iván Rentería
- Facultad de Deportes, Universidad Autónoma de Baja California, Ensenada, Mexico
| | - Patricia Concepción García-Suárez
- Facultad de Deportes, Universidad Autónoma de Baja California, Ensenada, Mexico
- Department of Health, Sports and Exercise Sciences, University of Kansas, Lawrence, KS, United States
| | - José Moncada-Jiménez
- Human Movement Sciences Research Center (CIMOHU), University of Costa Rica, San José, Costa Rica
| | | | | | - Fabio Santos Lira
- Exercise and Immunometabolism Research Group, Department of Physical Education, Paulista State University, UNESP, Presidente Prudente, São Paulo, Brazil
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3
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Cash RE, Crowe RP, Goldberg SA, Patrick C, Wells-Whitworth LM, Barger LK, Camargo CA. Association between sleep characteristics, ideal cardiovascular health, and systemic inflammation, NHANES 2017-2018. J Sleep Res 2021; 31:e13497. [PMID: 34599632 DOI: 10.1111/jsr.13497] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/08/2021] [Accepted: 09/13/2021] [Indexed: 11/26/2022]
Abstract
There is conflicting evidence regarding the associations between sleep deprivation and inflammatory biomarkers indicative of cardiovascular disease risk, such as high-sensitivity C-reactive protein (hsCRP). The association between sleep habits and hsCRP was quantified in a nationally representative sample of adults in the United States and mediation by ideal cardiovascular health metrics was explored. A cross-sectional analysis of cardiovascular disease-free participants aged 20-79 years from the 2017-2018 National Health and Nutrition Examination Survey was conducted. The primary exposures were self-reported sleep duration, sleep debt (difference between the average weekday and weekend sleep duration), and ideal cardiovascular health (11-14 points). The primary outcome was hsCRP (high-risk ≥ 3.0 mg/L). Multivariable robust Poisson models were used to estimate prevalence ratios after multiple imputation. A subgroup analysis of shift workers was also conducted. Of 4027 participants included (mean age 46 years; 52% female; 41% shift workers), the prevalence of sleeping <6 h on weekdays was 9%, with 40% sleeping ≥9 h on weekends. One-quarter had a high (≥2 h) sleep debt, 82% had poor cardiovascular health, and 34% had high-risk hsCRP. There were no significant associations between weekday sleep duration or sleep debt with high-risk hsCRP, even among shift workers. Mediation analysis was not conducted. Ideal cardiovascular health was associated with a lower prevalence of high-risk hsCRP (prevalence ratios, 0.60, 95% CI, 0.48-0.75). The lack of significant associations suggests a complex interrelationship of hsCRP with factors beyond sleep duration. Examination of populations at highest risk of chronic sleep deprivation could help to elucidate the association with systemic inflammation-related outcomes.
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Affiliation(s)
- Rebecca E Cash
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | | | - Scott A Goldberg
- Harvard Medical School, Boston, Massachusetts, USA.,Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Casey Patrick
- Montgomery County Hospital District, Conroe, Texas, USA
| | | | - Laura K Barger
- Harvard Medical School, Boston, Massachusetts, USA.,Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Carlos A Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
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Cash RE, Beverly Hery CM, Panchal AR, Bower JK. Association Between Sleep Duration and Ideal Cardiovascular Health Among US Adults, National Health and Nutrition Examination Survey, 2013-2016. Prev Chronic Dis 2020; 17:E43. [PMID: 32530395 PMCID: PMC7316418 DOI: 10.5888/pcd17.190424] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Introduction Short or long sleep duration is a risk factor for cardiovascular disease, but the association between sleep duration and cardiovascular health is unclear. Our objective was to quantify the association between sleep duration and ideal cardiovascular health (CVH) in US adults. We hypothesized that very short (<6 h) and very long (≥9 h) sleep duration were associated with poorer CVH compared with sleep lasting 7 to <8 hours. Methods We conducted a cross-sectional evaluation of the nationally representative National Health and Nutrition Examination Survey in 2 cycles (2013–2014 and 2015–2016). Participants were 7,784 cardiovascular disease–free US adults aged 20 to 75. Self-reported sleep duration was categorized as <6 hours, 6 to <7 hours, 7 to <8 hours, 8 to <9 hours, and ≥9 hours. The American Heart Association’s ideal CVH metrics were used to determine the number of ideal CVH components, dichotomized as ideal (5–7 components) or not ideal (0–4 components). Survey-weighted logistic and linear regression models were used to determine the association between sleep duration and ideal CVH. Results The weighted prevalences of those who slept 7 to <8 hours were 30.4%, very short sleep duration (<6 h), 9.0%, and very long duration (≥9 h), 13.5%. Only 21.3% of the population had ideal CVH. Compared with 7 to <8 hours, very short duration (OR = 0.65; 95% confidence interval [CI], 0.47–0.90) and very long duration (OR = 0.72; 95% CI, 0.55–0.94) were associated with decreased odds of ideal CVH. We confirmed findings by using linear regression. Conclusions Very short and very long sleep duration were associated with decreased odds of ideal CVH and lower mean CVH scores. Future research should focus on clarifying causal associations between sleep duration and ideal CVH.
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Affiliation(s)
- Rebecca E Cash
- The Ohio State University College of Public Health, Division of Epidemiology, Columbus, Ohio.,National Registry of Emergency Medical Technicians, Columbus, Ohio.,Massachusetts General Hospital, Department of Emergency Medicine, Massachusetts General Hospital, 125 Nashua St, Ste 920, Boston, MA 02114.
| | - Chloe M Beverly Hery
- The Ohio State University College of Public Health, Division of Epidemiology, Columbus, Ohio
| | - Ashish R Panchal
- The Ohio State University College of Public Health, Division of Epidemiology, Columbus, Ohio.,National Registry of Emergency Medical Technicians, Columbus, Ohio.,The Ohio State University Wexner Medical Center, Department of Emergency Medicine, Columbus, Ohio
| | - Julie K Bower
- The Ohio State University College of Public Health, Division of Epidemiology, Columbus, Ohio
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Cash RE, Anderson SE, Lancaster KE, Lu B, Rivard MK, Camargo CA, Panchal AR. Comparing the Prevalence of Poor Sleep and Stress Metrics in Basic versus Advanced Life Support Emergency Medical Services Personnel. PREHOSP EMERG CARE 2020; 24:644-656. [DOI: 10.1080/10903127.2020.1758259] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Rebecca E. Cash
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA (REC, CAC)
| | - Sarah E. Anderson
- National Registry of Emergency Medical Technicians, Columbus, OH (REC, MKR, ARP)
| | - Kathryn E. Lancaster
- Division of Epidemiology, The Ohio State University College of Public Health, Columbus, OH (REC, SEA, KEL, ARP)
| | - Bo Lu
- Division of Biostatistics, The Ohio State University College of Public Health, Columbus, OH (BL)
| | - Madison K. Rivard
- Division of Health Behavior and Health Promotion, The Ohio State University College of Public Health, Columbus, OH (MKR)
| | - Carlos A. Camargo
- Department of Emergency Medicine, The Ohio State University Wexner Medical Center, Columbus, OH (ARP)
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Nakayama N, Hayashi T, Miyachi M, Negi K, Watanabe K, Hirai M. Napping Improves HRV in Older Patients With Cardiovascular Risk Factors. West J Nurs Res 2019; 41:1241-1253. [PMID: 30632455 DOI: 10.1177/0193945918824603] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Heart rate variability (HRV), especially increased high frequency (HF), has been reported to provide clinically useful prognostic information regarding cardiovascular disease. Napping is an excellent sleep management strategy in older adults. This study was conducted to clarify the effect of napping on HRV in older adult patients with cardiovascular risk factors. The patients were divided into two groups: one group of 32 patients who reported napping (nap group) and another group of 45 patients who did not report napping (nonnap group). The HRV was calculated in terms of the HF component over 24 hr during wakefulness, sleep, and 1 hr after sleep onset. The HF in the nap group was significantly higher than that in the nonnap group during all times measured. In addition, napping was a significant predictor of increased HF. This study shows the effectiveness of napping in the daily lives of patients with cardiovascular risk factors.
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Kruisbrink M, Robertson W, Ji C, Miller MA, Geleijnse JM, Cappuccio FP. Association of sleep duration and quality with blood lipids: a systematic review and meta-analysis of prospective studies. BMJ Open 2017; 7:e018585. [PMID: 29247105 PMCID: PMC5735405 DOI: 10.1136/bmjopen-2017-018585] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Revised: 11/09/2017] [Accepted: 11/09/2017] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVES To assess the longitudinal evidence of the relationships between sleep disturbances (of quantity and quality) and dyslipidaemia in the general population and to quantify such relationships. SETTING Systematic review and meta-analysis following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. METHODS We performed a systematic search of PubMed and Embase (up to 9 September 2017), complemented with manual searches, of prospective population studies describing the association between sleep duration and quality and the incidence of dyslipidaemias. Relative risks (95% CIs) were extracted and pooled using a random effects model. Subgroup analyses by lipid type were performed. Heterogeneity and publication bias were also assessed. Quality was assessed with Downs and Black score. PARTICIPANTS Studies were included if they were prospective, had measured sleep quantity and/or quality at baseline and either incident cases of dyslipidaemia or changes in blood lipid fractions assessed prospectively. PRIMARY OUTCOME MEASURES Incidence of dyslipidaemia and changes in lipid fractions. Dyslipidaemia was defined as a high total cholesterol, triglycerides, low-density lipoprotein cholesterol or low high-density lipoprotein cholesterol compared with the reference group. RESULTS Thirteen studies were identified (eight using sleep duration, four sleep quality and one both). There was heterogeneity in the sleep quality aspects and types of lipids assessed. Classification of sleep duration (per hour/groups) also varied widely. In the pooled analysis of sleep duration (6 studies, 16 cohort samples; 30 033 participants; follow-up 2.6-10 years), short sleep was associated with a risk of 1.01 (95% CI 0.93 to 1.10) of developing dyslipidaemia, with moderate heterogeneity (I2=56%, P=0.003) and publication bias (P=0.035). Long sleep was associated with a risk of 0.98 (95% CI 0.87 to 1.10) for dyslipidaemia, with heterogeneity (I2=63%, P<0.001) and no significant publication bias (P=0.248). CONCLUSION The present analysis was unable to find supportive evidence of a significant relationship between sleep duration and the development of dyslipidaemia. However, heterogeneity and small number of studies limit the interpretation. PROSPERO REGISTRATION NUMBER CRD42016045242.
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Affiliation(s)
- Marlot Kruisbrink
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
- Department of Health Services Research, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
- CAPHRI, Maastricht University, Maastricht, The Netherlands
| | - Wendy Robertson
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Chen Ji
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Michelle A Miller
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Johanna M Geleijnse
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Francesco P Cappuccio
- ESH Centre of Excellence in Hypertension & Cardiometabolic Research, University Hospitals Coventry & Warwickshire NHS Trust, Coventry, UK
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8
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O'Brien EC, O'Sullivan EJ, Kilbane MT, Geraghty AA, McKenna MJ, McAuliffe FM. Season and vitamin D status are independently associated with glucose homeostasis in pregnancy. Nutr Metab (Lond) 2017; 14:50. [PMID: 28775759 PMCID: PMC5539754 DOI: 10.1186/s12986-017-0203-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Accepted: 07/18/2017] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Vitamin D status and season are intrinsically linked, and both have been proposed to be associated with glucose homeostasis in pregnancy, with conflicting results. We aimed to determine if exposure to winter and low maternal 25 hydroxyvitamin D (25OHD) in early pregnancy were associated with maternal glucose metabolism. METHODS This is a secondary data analysis of 334 pregnant women enrolled in the ROLO study, Dublin. Serum 25OHD, fasting glucose, insulin and insulin resistance (HOMA-IR) were measured in early (12 weeks' gestation) and late pregnancy (28 weeks' gestation). Season of first antenatal visit was categorised as extended winter (November-April) or extended summer (May-October). Multiple linear regression models, adjusted for confounders, were used for analysis. RESULTS Those who attended their first antenatal visit in extended winter had lower 25OHD compared to extended summer (32.9 nmol/L vs. 44.1 nmol/L, P < 0.001). Compared to those who attended their first antenatal visit during extended summer, extended winter was associated with increased HOMA-IR in early-pregnancy (46.7%) and late pregnancy (53.7%), independent of 25OHD <30 nmol/L and confounders. Early pregnancy 25OHD <30 nmol/L and extended winter were independently associated with significantly higher fasting glucose in late pregnancy (B = 0.15 and 0.13, respectively). CONCLUSIONS Women who attended their first antenatal visit during the months of extended winter were more likely to have raised insulin resistance in early pregnancy, which had a lasting association to 28 weeks, and was independent of 25OHD. Our novel findings imply that seasonal variation in insulin resistance may not be fully explained by differences in vitamin D status. This could reflect circannual rhythm or seasonal lifestyle behaviours, and requires further exploration. TRIAL REGISTRATION ISRCTN registry, ISRCTN54392969, date of registration: 22/04/2009, retrospectively registered.
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Affiliation(s)
- Eileen C O'Brien
- UCD Perinatal Research Centre, Obstetrics & Gynaecology, School of Medicine, National Maternity Hospital, University College Dublin, Dublin, Ireland
| | - Elizabeth J O'Sullivan
- UCD Perinatal Research Centre, Obstetrics & Gynaecology, School of Medicine, National Maternity Hospital, University College Dublin, Dublin, Ireland
| | - Mark T Kilbane
- Department of Clinical Chemistry, St Vincent's University Hospital, Dublin, Ireland
| | - Aisling A Geraghty
- UCD Perinatal Research Centre, Obstetrics & Gynaecology, School of Medicine, National Maternity Hospital, University College Dublin, Dublin, Ireland
| | - Malachi J McKenna
- UCD Perinatal Research Centre, Obstetrics & Gynaecology, School of Medicine, National Maternity Hospital, University College Dublin, Dublin, Ireland.,Department of Endocrinology, St Vincent's University Hospital, Dublin, Ireland.,School of Medicine, University College Dublin, Dublin, Ireland
| | - Fionnuala M McAuliffe
- UCD Perinatal Research Centre, Obstetrics & Gynaecology, School of Medicine, National Maternity Hospital, University College Dublin, Dublin, Ireland
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James SM, Honn KA, Gaddameedhi S, Van Dongen HPA. Shift Work: Disrupted Circadian Rhythms and Sleep-Implications for Health and Well-Being. CURRENT SLEEP MEDICINE REPORTS 2017; 3:104-112. [PMID: 29057204 DOI: 10.1007/s40675-017-0071-6] [Citation(s) in RCA: 232] [Impact Index Per Article: 33.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
PURPOSE OF REVIEW Our 24/7 society is dependent on shift work, despite mounting evidence for negative health outcomes from sleep displacement due to shift work. This paper reviews short- and long-term health consequences of sleep displacement and circadian misalignment due to shift work. RECENT FINDINGS We focus on four broad health domains: metabolic health; risk of cancer; cardiovascular health; and mental health. Circadian misalignment affects these domains by inducing sleep deficiency, sympathovagal and hormonal imbalance, inflammation, impaired glucose metabolism, and dysregulated cell cycles. This leads to a range of medical conditions, including obesity, metabolic syndrome, type II diabetes, gastrointestinal dysfunction, compromised immune function, cardiovascular disease, excessive sleepiness, mood and social disorders, and increased cancer risk. SUMMARY Interactions of biological disturbances with behavioral and societal factors shape the effects of shift work on health and well-being. Research is needed to better understand the underlying mechanisms and drive the development of countermeasures.
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Affiliation(s)
- Stephen M James
- Sleep and Performance Research Center, Washington State University, Spokane, WA, USA.,Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
| | - Kimberly A Honn
- Sleep and Performance Research Center, Washington State University, Spokane, WA, USA.,Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
| | - Shobhan Gaddameedhi
- Sleep and Performance Research Center, Washington State University, Spokane, WA, USA.,College of Pharmacy, Washington State University, Spokane, WA, USA
| | - Hans P A Van Dongen
- Sleep and Performance Research Center, Washington State University, Spokane, WA, USA.,Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
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10
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Aho V, Ollila HM, Kronholm E, Bondia-Pons I, Soininen P, Kangas AJ, Hilvo M, Seppälä I, Kettunen J, Oikonen M, Raitoharju E, Hyötyläinen T, Kähönen M, Viikari JSA, Härmä M, Sallinen M, Olkkonen VM, Alenius H, Jauhiainen M, Paunio T, Lehtimäki T, Salomaa V, Orešič M, Raitakari OT, Ala-Korpela M, Porkka-Heiskanen T. Prolonged sleep restriction induces changes in pathways involved in cholesterol metabolism and inflammatory responses. Sci Rep 2016; 6:24828. [PMID: 27102866 PMCID: PMC4840329 DOI: 10.1038/srep24828] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2015] [Accepted: 04/05/2016] [Indexed: 12/22/2022] Open
Abstract
Sleep loss and insufficient sleep are risk factors for cardiometabolic diseases, but data on how insufficient sleep contributes to these diseases are scarce. These questions were addressed using two approaches: an experimental, partial sleep restriction study (14 cases and 7 control subjects) with objective verification of sleep amount, and two independent epidemiological cohorts (altogether 2739 individuals) with questions of sleep insufficiency. In both approaches, blood transcriptome and serum metabolome were analysed. Sleep loss decreased the expression of genes encoding cholesterol transporters and increased expression in pathways involved in inflammatory responses in both paradigms. Metabolomic analyses revealed lower circulating large HDL in the population cohorts among subjects reporting insufficient sleep, while circulating LDL decreased in the experimental sleep restriction study. These findings suggest that prolonged sleep deprivation modifies inflammatory and cholesterol pathways at the level of gene expression and serum lipoproteins, inducing changes toward potentially higher risk for cardiometabolic diseases.
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Affiliation(s)
- Vilma Aho
- Department of Physiology, Faculty of Medicine, University of Helsinki, Finland
| | - Hanna M Ollila
- Department of Physiology, Faculty of Medicine, University of Helsinki, Finland
- Genomics and Biomarkers unit and Institute for Molecular Medicine FIMM, National Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Finland
- Stanford University Center for Sleep Sciences, Palo Alto, CA, USA
| | - Erkki Kronholm
- Department of Chronic Disease Prevention, Population Studies Unit, National Institute for Health and Welfare, Turku, Finland
| | - Isabel Bondia-Pons
- VTT Technical Research Centre of Finland, Espoo, Finland
- Steno Diabetes Center A/S, Gentofte, Denmark
| | - Pasi Soininen
- Computational Medicine, Institute of Health Sciences, University of Oulu, Oulu, Finland
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Antti J Kangas
- Computational Medicine, Institute of Health Sciences, University of Oulu, Oulu, Finland
| | - Mika Hilvo
- VTT Technical Research Centre of Finland, Espoo, Finland
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories, and University of Tampere, School of Medicine, Tampere, Finland
| | - Johannes Kettunen
- Genomics and Biomarkers unit and Institute for Molecular Medicine FIMM, National Institute for Health and Welfare, Helsinki, Finland
- Computational Medicine, Institute of Health Sciences, University of Oulu, Oulu, Finland
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Mervi Oikonen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Emma Raitoharju
- Department of Clinical Chemistry, Fimlab Laboratories, and University of Tampere, School of Medicine, Tampere, Finland
| | - Tuulia Hyötyläinen
- VTT Technical Research Centre of Finland, Espoo, Finland
- Steno Diabetes Center A/S, Gentofte, Denmark
| | - Mika Kähönen
- Department of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Jorma S A Viikari
- Department of Medicine, University of Turku, and Division of Medicine, Turku University Hospital, Turku, Finland
| | - Mikko Härmä
- Brain and Work Research Centre, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Mikael Sallinen
- Brain and Work Research Centre, Finnish Institute of Occupational Health, Helsinki, Finland
- Agora Center, University of Jyväskylä, Jyväskylä, Finland
| | - Vesa M Olkkonen
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
- Institute of Biomedicine, Anatomy, University of Helsinki, Finland
| | - Harri Alenius
- Unit of Excellence for Immunotoxicology, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Matti Jauhiainen
- Genomics and Biomarkers unit and Institute for Molecular Medicine FIMM, National Institute for Health and Welfare, Helsinki, Finland
| | - Tiina Paunio
- Genomics and Biomarkers unit and Institute for Molecular Medicine FIMM, National Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and University of Tampere, School of Medicine, Tampere, Finland
| | - Veikko Salomaa
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Matej Orešič
- VTT Technical Research Centre of Finland, Espoo, Finland
- Steno Diabetes Center A/S, Gentofte, Denmark
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Mika Ala-Korpela
- Computational Medicine, Institute of Health Sciences, University of Oulu, Oulu, Finland
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
- Oulu University Hospital, Oulu, Finland
- Computational Medicine, School of Social and Community Medicine &Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
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