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Gaucher J, Montellier E, Vial G, Chuffart F, Guellerin M, Bouyon S, Lemarie E, Yamaryo-Botté Y, Dirani A, Ben Messaoud R, Faure MJ, Ribuot DG, Costentin C, Tamisier R, Botté CY, Khochbin S, Rousseaux S, Pépin JL. Long-term intermittent hypoxia in mice induces inflammatory pathways implicated in sleep apnea and steatohepatitis in humans. iScience 2024; 27:108837. [PMID: 38303705 PMCID: PMC10830848 DOI: 10.1016/j.isci.2024.108837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 10/09/2023] [Accepted: 01/03/2024] [Indexed: 02/03/2024] Open
Abstract
Obstructive sleep apnea (OSA) induces intermittent hypoxia (IH), an independent risk factor for non-alcoholic fatty liver disease (NAFLD). While the molecular links between IH and NAFLD progression are unclear, immune cell-driven inflammation plays a crucial role in NAFLD pathogenesis. Using lean mice exposed to long-term IH and a cohort of lean OSA patients (n = 71), we conducted comprehensive hepatic transcriptomics, lipidomics, and targeted serum proteomics. Significantly, we demonstrated that long-term IH alone can induce NASH molecular signatures found in human steatohepatitis transcriptomic data. Biomarkers (PPARs, NRFs, arachidonic acid, IL16, IL20, IFNB, TNF-α) associated with early hepatic and systemic inflammation were identified. This molecular link between IH, sleep apnea, and steatohepatitis merits further exploration in clinical trials, advocating for integrating sleep apnea diagnosis in liver disease phenotyping. Our unique signatures offer potential diagnostic and treatment response markers, highlighting therapeutic targets in the comorbidity of NAFLD and OSA.
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Affiliation(s)
- Jonathan Gaucher
- Hypoxia and Physio-Pathology Laboratory (HP2) INSERM U1300, University Grenoble Alpes, INSERM U1300, and Grenoble Alpes University Hospital, Grenoble, France
| | - Emilie Montellier
- Cancers and Biomarkers Team, Institute for Advanced Biosciences, University, INSERM U1209, CNRS UMR5309, University Grenoble Alpes, Grenoble, France
| | - Guillaume Vial
- Hypoxia and Physio-Pathology Laboratory (HP2) INSERM U1300, University Grenoble Alpes, INSERM U1300, and Grenoble Alpes University Hospital, Grenoble, France
| | - Florent Chuffart
- Epigenetics Regulation Team, Institute for Advanced Biosciences INSERM U1209, CNRS UMR5309, University Grenoble Alpes, Grenoble, France
| | - Maëlle Guellerin
- Hypoxia and Physio-Pathology Laboratory (HP2) INSERM U1300, University Grenoble Alpes, INSERM U1300, and Grenoble Alpes University Hospital, Grenoble, France
| | - Sophie Bouyon
- Hypoxia and Physio-Pathology Laboratory (HP2) INSERM U1300, University Grenoble Alpes, INSERM U1300, and Grenoble Alpes University Hospital, Grenoble, France
| | - Emeline Lemarie
- Hypoxia and Physio-Pathology Laboratory (HP2) INSERM U1300, University Grenoble Alpes, INSERM U1300, and Grenoble Alpes University Hospital, Grenoble, France
| | - Yoshiki Yamaryo-Botté
- Apicolipid Team, Institute for Advanced Biosciences INSERM U1209, CNRS UMR5309, University Grenoble Alpes, Grenoble, France
| | - Aya Dirani
- Hypoxia and Physio-Pathology Laboratory (HP2) INSERM U1300, University Grenoble Alpes, INSERM U1300, and Grenoble Alpes University Hospital, Grenoble, France
| | - Raoua Ben Messaoud
- Hypoxia and Physio-Pathology Laboratory (HP2) INSERM U1300, University Grenoble Alpes, INSERM U1300, and Grenoble Alpes University Hospital, Grenoble, France
| | - Marie Joyeux Faure
- Hypoxia and Physio-Pathology Laboratory (HP2) INSERM U1300, University Grenoble Alpes, INSERM U1300, and Grenoble Alpes University Hospital, Grenoble, France
| | - Diane Godin Ribuot
- Hypoxia and Physio-Pathology Laboratory (HP2) INSERM U1300, University Grenoble Alpes, INSERM U1300, and Grenoble Alpes University Hospital, Grenoble, France
| | - Charlotte Costentin
- Hypoxia and Physio-Pathology Laboratory (HP2) INSERM U1300, University Grenoble Alpes, INSERM U1300, and Grenoble Alpes University Hospital, Grenoble, France
| | - Renaud Tamisier
- Hypoxia and Physio-Pathology Laboratory (HP2) INSERM U1300, University Grenoble Alpes, INSERM U1300, and Grenoble Alpes University Hospital, Grenoble, France
| | - Cyrille Y. Botté
- Apicolipid Team, Institute for Advanced Biosciences INSERM U1209, CNRS UMR5309, University Grenoble Alpes, Grenoble, France
| | - Saadi Khochbin
- Epigenetics Regulation Team, Institute for Advanced Biosciences INSERM U1209, CNRS UMR5309, University Grenoble Alpes, Grenoble, France
| | - Sophie Rousseaux
- Epigenetics Regulation Team, Institute for Advanced Biosciences INSERM U1209, CNRS UMR5309, University Grenoble Alpes, Grenoble, France
| | - Jean-Louis Pépin
- Hypoxia and Physio-Pathology Laboratory (HP2) INSERM U1300, University Grenoble Alpes, INSERM U1300, and Grenoble Alpes University Hospital, Grenoble, France
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Pépin JL, Tamisier R, Baillieul S, Ben Messaoud R, Foote A, Bailly S, Martinot JB. Creating an Optimal Approach for Diagnosing Sleep Apnea. Sleep Med Clin 2023; 18:301-309. [PMID: 37532371 DOI: 10.1016/j.jsmc.2023.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
Sleep apnea is nowadays recognized as a treatable chronic disease and awareness of it has increased, leading to an upsurge in demand for diagnostic testing. Conventionally, diagnosis depends on overnight polysomnography in a sleep clinic, which is highly human-resource intensive and ignores the night-to-night variability in classical sleep apnea markers, such as the apnea-hypopnea index. In this review, the authors summarize the main improvements that could be made in the sleep apnea diagnosis strategy; how technological innovations and multi-night home testing could be used to simplify, increase access, and reduce costs of diagnostic testing while avoiding misclassification of severity.
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Affiliation(s)
- Jean-Louis Pépin
- Univ. Grenoble Alpes, HP2 (Hypoxia and Physio-Pathologies) Laboratory, Inserm (French National Institute of Health and Medical Research) U1300, Grenoble, 38000 France; Sleep Laboratory, Grenoble Alpes University Hospital Center, Grenoble, 38043 France.
| | - Renaud Tamisier
- Univ. Grenoble Alpes, HP2 (Hypoxia and Physio-Pathologies) Laboratory, Inserm (French National Institute of Health and Medical Research) U1300, Grenoble, 38000 France; Sleep Laboratory, Grenoble Alpes University Hospital Center, Grenoble, 38043 France
| | - Sébastien Baillieul
- Univ. Grenoble Alpes, HP2 (Hypoxia and Physio-Pathologies) Laboratory, Inserm (French National Institute of Health and Medical Research) U1300, Grenoble, 38000 France; Sleep Laboratory, Grenoble Alpes University Hospital Center, Grenoble, 38043 France
| | - Raoua Ben Messaoud
- Univ. Grenoble Alpes, HP2 (Hypoxia and Physio-Pathologies) Laboratory, Inserm (French National Institute of Health and Medical Research) U1300, Grenoble, 38000 France; Sleep Laboratory, Grenoble Alpes University Hospital Center, Grenoble, 38043 France
| | - Alison Foote
- Sleep Laboratory, Grenoble Alpes University Hospital Center, Grenoble, 38043 France
| | - Sébastien Bailly
- Univ. Grenoble Alpes, HP2 (Hypoxia and Physio-Pathologies) Laboratory, Inserm (French National Institute of Health and Medical Research) U1300, Grenoble, 38000 France; Sleep Laboratory, Grenoble Alpes University Hospital Center, Grenoble, 38043 France
| | - Jean-Benoît Martinot
- Sleep Laboratory, CHU Université Catholique de Louvain (UCL) Namur Site Sainte-Elisabeth, Namur, Belgium; Institute of Experimental and Clinical Research, UCL Bruxelles Woluwe, Brussels, Belgium
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Pépin JL, Bailly S, Mignot E, Gaucher J, Chouraki A, Cals-Maurette M, Ben Messaoud R, Tamisier R, Arnal PJ. Digital markers of sleep architecture to characterize the impact of different lockdown regimens on sleep health during the COVID-19 pandemic. Sleep 2022; 45:6569347. [PMID: 35429392 PMCID: PMC9189935 DOI: 10.1093/sleep/zsac074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Jean-Louis Pépin
- Laboratoire Hypoxie et Physiopathologies cardiovasculaires et respiratoires, HP2 Laboratory, INSERM U1300, University Grenoble Alpes , Grenoble , France
- EFCR Laboratory, Grenoble Alpes University Hospital , Grenoble , France
| | - Sébastien Bailly
- Laboratoire Hypoxie et Physiopathologies cardiovasculaires et respiratoires, HP2 Laboratory, INSERM U1300, University Grenoble Alpes , Grenoble , France
- EFCR Laboratory, Grenoble Alpes University Hospital , Grenoble , France
| | - Emmanuel Mignot
- Center for Sleep Sciences and Medicine, Stanford University , Palo Alto, CA , USA
| | - Jonathan Gaucher
- Laboratoire Hypoxie et Physiopathologies cardiovasculaires et respiratoires, HP2 Laboratory, INSERM U1300, University Grenoble Alpes , Grenoble , France
- EFCR Laboratory, Grenoble Alpes University Hospital , Grenoble , France
| | | | - Mallory Cals-Maurette
- Laboratoire Hypoxie et Physiopathologies cardiovasculaires et respiratoires, HP2 Laboratory, INSERM U1300, University Grenoble Alpes , Grenoble , France
- EFCR Laboratory, Grenoble Alpes University Hospital , Grenoble , France
| | - Raoua Ben Messaoud
- Laboratoire Hypoxie et Physiopathologies cardiovasculaires et respiratoires, HP2 Laboratory, INSERM U1300, University Grenoble Alpes , Grenoble , France
- EFCR Laboratory, Grenoble Alpes University Hospital , Grenoble , France
| | - Renaud Tamisier
- Laboratoire Hypoxie et Physiopathologies cardiovasculaires et respiratoires, HP2 Laboratory, INSERM U1300, University Grenoble Alpes , Grenoble , France
- EFCR Laboratory, Grenoble Alpes University Hospital , Grenoble , France
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Revol B, Castelli C, Ben Messaoud R, Coffy A, Bailly S, Jullian-Desayes I, Martinot JB, Martinot P, Joyeux-Faure M, Pépin JL. Deprescribing antihypertensive drugs after starting OSA primary therapy? Sleep 2022; 45:zsac060. [PMID: 35554591 DOI: 10.1093/sleep/zsac060] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023] Open
Affiliation(s)
- Bruno Revol
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France
- EFCR Laboratory, Pole Thorax and Vessels, Grenoble Alpes University Hospital, Grenoble, France
- Pharmacovigilance Department, Grenoble Alpes University Hospital, Grenoble, France
| | - Christel Castelli
- UMR 5815, Laboratory of Law and Health Economics, University of Montpellier, Montpellier, France
- Department of Languedoc Mutualité Nouvelles Technologies, Montpellier Beausoleil Clinic, Montpellier, France
| | - Raoua Ben Messaoud
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France
- EFCR Laboratory, Pole Thorax and Vessels, Grenoble Alpes University Hospital, Grenoble, France
| | - Amandine Coffy
- Department of Languedoc Mutualité Nouvelles Technologies, Montpellier Beausoleil Clinic, Montpellier, France
| | - Sébastien Bailly
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France
- EFCR Laboratory, Pole Thorax and Vessels, Grenoble Alpes University Hospital, Grenoble, France
| | - Ingrid Jullian-Desayes
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France
- EFCR Laboratory, Pole Thorax and Vessels, Grenoble Alpes University Hospital, Grenoble, France
| | - Jean-Benoît Martinot
- Sleep Laboratory, CHU UCL Namur Site Sainte-Elisabeth, Namur, Belgium
- Institute of Experimental and Clinical Research, UCL, Bruxelles Woluwe, Belgium
| | - Pierre Martinot
- Sleep Laboratory, CHU UCL Namur Site Sainte-Elisabeth, Namur, Belgium
- Institute of Experimental and Clinical Research, UCL, Bruxelles Woluwe, Belgium
| | - Marie Joyeux-Faure
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France
- EFCR Laboratory, Pole Thorax and Vessels, Grenoble Alpes University Hospital, Grenoble, France
| | - Jean-Louis Pépin
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France
- EFCR Laboratory, Pole Thorax and Vessels, Grenoble Alpes University Hospital, Grenoble, France
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Monna F, Ben Messaoud R, Navarro N, Baillieul S, Sanchez L, Loiodice C, Tamisier R, Faure MJ, Pepin JL. Machine learning and geometric morphometrics to predict obstructive sleep apnea from 3D craniofacial scans. Sleep Med 2022; 95:76-83. [DOI: 10.1016/j.sleep.2022.04.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 03/23/2022] [Accepted: 04/23/2022] [Indexed: 12/21/2022]
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Kelly JL, Ben Messaoud R, Joyeux-Faure M, Terrail R, Tamisier R, Martinot JB, Le-Dong NN, Morrell MJ, Pépin JL. Diagnosis of Sleep Apnoea Using a Mandibular Monitor and Machine Learning Analysis: One-Night Agreement Compared to in-Home Polysomnography. Front Neurosci 2022; 16:726880. [PMID: 35368281 PMCID: PMC8965001 DOI: 10.3389/fnins.2022.726880] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe capacity to diagnose obstructive sleep apnoea (OSA) must be expanded to meet an estimated disease burden of nearly one billion people worldwide. Validated alternatives to the gold standard polysomnography (PSG) will improve access to testing and treatment. This study aimed to evaluate the diagnosis of OSA, using measurements of mandibular movement (MM) combined with automated machine learning analysis, compared to in-home PSG.Methods40 suspected OSA patients underwent single overnight in-home sleep testing with PSG (Nox A1, ResMed, Australia) and simultaneous MM monitoring (Sunrise, Sunrise SA, Belgium). PSG recordings were manually analysed by two expert sleep centres (Grenoble and London); MM analysis was automated. The Obstructive Respiratory Disturbance Index calculated from the MM monitoring (MM-ORDI) was compared to the PSG (PSG-ORDI) using intraclass correlation coefficient and Bland-Altman analysis. Receiver operating characteristic curves (ROC) were constructed to optimise the diagnostic performance of the MM monitor at different PSG-ORDI thresholds (5, 15, and 30 events/hour).Results31 patients were included in the analysis (58% men; mean (SD) age: 48 (15) years; BMI: 30.4 (7.6) kg/m2). Good agreement was observed between MM-ORDI and PSG-ORDI (median bias 0.00; 95% CI −23.25 to + 9.73 events/hour). However, for 15 patients with no or mild OSA, MM monitoring overestimated disease severity (PSG-ORDI < 5: MM-ORDI mean overestimation + 5.58 (95% CI + 2.03 to + 7.46) events/hour; PSG-ORDI > 5–15: MM-ORDI overestimation + 3.70 (95% CI −0.53 to + 18.32) events/hour). In 16 patients with moderate-severe OSA (n = 9 with PSG-ORDI 15–30 events/h and n = 7 with a PSG-ORD > 30 events/h), there was an underestimation (PSG-ORDI > 15: MM-ORDI underestimation −8.70 (95% CI −28.46 to + 4.01) events/hour). ROC optimal cut-off values for PSG-ORDI thresholds of 5, 15, 30 events/hour were: 9.53, 12.65 and 24.81 events/hour, respectively. These cut-off values yielded a sensitivity of 88, 100 and 79%, and a specificity of 100, 75, 96%. The positive predictive values were: 100, 80, 95% and the negative predictive values 89, 100, 82%, respectively.ConclusionThe diagnosis of OSA, using MM with machine learning analysis, is comparable to manually scored in-home PSG. Therefore, this novel monitor could be a convenient diagnostic tool that can easily be used in the patients’ own home.Clinical Trial Registrationhttps://clinicaltrials.gov, identifier NCT04262557
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Affiliation(s)
- Julia L. Kelly
- National Heart and Lung Institute, Imperial College London, Royal Brompton Hospital, London, United Kingdom
| | - Raoua Ben Messaoud
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France
| | - Marie Joyeux-Faure
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France
- EFCR Laboratory, Thorax and Vessels division, Grenoble Alpes University Hospital, Grenoble, France
| | - Robin Terrail
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France
- EFCR Laboratory, Thorax and Vessels division, Grenoble Alpes University Hospital, Grenoble, France
| | - Renaud Tamisier
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France
- EFCR Laboratory, Thorax and Vessels division, Grenoble Alpes University Hospital, Grenoble, France
| | - Jean-Benoît Martinot
- Sleep Laboratory, CHU Université catholique de Louvain (UCL) Namur Site Sainte-Elisabeth, Namur, Belgium
- Institute of Experimental and Clinical Research, UCL Bruxelles Woluwe, Brussels, Belgium
| | | | - Mary J. Morrell
- National Heart and Lung Institute, Imperial College London, Royal Brompton Hospital, London, United Kingdom
| | - Jean-Louis Pépin
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France
- EFCR Laboratory, Thorax and Vessels division, Grenoble Alpes University Hospital, Grenoble, France
- *Correspondence: Jean-Louis Pépin,
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Ben Messaoud R, Khouri C, Pépin JL, Cracowski JL, Tamisier R, Barbieri F, Heidbreder A, Joyeux-Faure M, Defaye P. Implantable cardiac devices in sleep apnoea diagnosis: A systematic review and meta-analysis. Int J Cardiol 2021; 348:76-82. [PMID: 34906614 DOI: 10.1016/j.ijcard.2021.12.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 12/06/2021] [Accepted: 12/09/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND A particularly high burden of sleep apnoea is reported in patients treated with cardiac implants such as pacemakers and defibrillators. Sleep apnoea diagnosis remains a complex procedure mainly based on sleep and respiratory indices captured by polysomnography (PSG) or respiratory polygraphy (PG). AIM We aimed to evaluate the performance of implantable cardiac devices for sleep apnoea diagnosis compared to reference methods. METHOD Systematic structured literature searches were performed in PubMed, Embase and. Cochrane Library was performed to identify relevant studies. Quantitative characteristics of the studies were summarized and a qualitative synthesis was performed by a randomized bivariate meta-analysis and completed by pre-specified sensitivity analyses for different implant types and brands. RESULTS 16 studies involving 999 patients met inclusion criteria and were included in the meta-analysis. The majority of patients were men, of mean age of 64 ± 4.6 years. Sensitivity of cardiac implants for sleep apnoea diagnosis ranged from 60 to 100%, specificity from 50 to 100% with a prevalence of sleep apnoea varying from 22 to 91%. For an apnoea-hypopnoea index threshold ≥30 events/h during polysomnography (corresponding to severe sleep apnoea), the overall performance of the implants was relevant with a sensitivity of 78% and a specificity of 79%. Subgroup analyses on implant type and brand provided no additional information owing to the small number of studies. CONCLUSION The respiratory disturbance index provided by cardiac implants is clinically relevant and might improve access to sleep apnoea diagnosis in at-risk cardiovascular populations. PROSPERO Registration number: CRD42020181656.
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Affiliation(s)
- Raoua Ben Messaoud
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France.
| | - Charles Khouri
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France; Regional Pharmacovigilance Center, Grenoble Alpes University Hospital, Grenoble, France.
| | - Jean Louis Pépin
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France; EFCR Laboratory, Thorax and Vessels division, Grenoble Alpes University Hospital, Grenoble, France.
| | - Jean Luc Cracowski
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France; Regional Pharmacovigilance Center, Grenoble Alpes University Hospital, Grenoble, France.
| | - Renaud Tamisier
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France; EFCR Laboratory, Thorax and Vessels division, Grenoble Alpes University Hospital, Grenoble, France.
| | - Fabian Barbieri
- University Hospital for Internal Medicine III (Cardiology and Angiology), Medical University Innsbruck, Austria.
| | - Anna Heidbreder
- Sleep Disorders Clinic, Department of Neurology, Medical University Innsbruck, Austria.
| | - Marie Joyeux-Faure
- HP2 Laboratory, Inserm U1300, Grenoble Alpes University, Grenoble, France; EFCR Laboratory, Thorax and Vessels division, Grenoble Alpes University Hospital, Grenoble, France.
| | - Pascal Defaye
- Arrhythmia Unit, Cardiology Department, Grenoble Alpes University Hospital, Grenoble, France.
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Pépin JL, Bailly S, Mordret E, Gaucher J, Tamisier R, Ben Messaoud R, Arnal PJ, Mignot E. Greatest changes in objective sleep architecture during COVID-19 lockdown in night owls with increased REM sleep. Sleep 2021; 44:zsab075. [PMID: 33769511 PMCID: PMC8083638 DOI: 10.1093/sleep/zsab075] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 02/26/2021] [Indexed: 12/25/2022] Open
Abstract
STUDY OBJECTIVES The COVID-19 pandemic has had dramatic effects on society and people's daily habits. In this observational study, we recorded objective data on sleep macro- and microarchitecture repeatedly over several nights before and during the COVID-19 government-imposed lockdown. The main objective was to evaluate changes in patterns of sleep duration and architecture during home confinement using the pre-confinement period as a control. METHODS Participants were regular users of a sleep-monitoring headband that records, stores, and automatically analyzes physiological data in real time, equivalent to polysomnography. We measured sleep onset duration, total sleep time, duration of sleep stages (N2, N3, and rapid eye movement [REM]), and sleep continuity. Via the user's smartphone application, participants filled in questionnaires on how lockdown changed working hours, eating behavior, and daily life at home. They also filled in the Insomnia Severity Index, reduced Morningness-Eveningness Questionnaire, and Hospital Anxiety and Depression Scale questionnaires, allowing us to create selected subgroups. RESULTS The 599 participants were mainly men (71%) of median age 47 (interquartile range: 36-59). Compared to before lockdown, during lockdown individuals slept more overall (mean +3·83 min; SD: ±1.3), had less deep sleep (N3), more light sleep (N2), and longer REM sleep (mean +3·74 min; SD: ±0.8). They exhibited less weekend-specific changes, suggesting less sleep restriction during the week. Changes were most pronounced in individuals reporting eveningness preferences, suggesting relative sleep deprivation in this population and exacerbated sensitivity to societal changes. CONCLUSION This unique dataset should help us understand the effects of lockdown on sleep architecture and on our health.
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Affiliation(s)
- Jean-Louis Pépin
- HP2 Laboratory, INSERM U1042, University Grenoble Alpes, Grenoble, France
- EFCR Laboratory, Grenoble Alpes University Hospital, Grenoble, France
| | - Sébastien Bailly
- HP2 Laboratory, INSERM U1042, University Grenoble Alpes, Grenoble, France
- EFCR Laboratory, Grenoble Alpes University Hospital, Grenoble, France
| | | | - Jonathan Gaucher
- HP2 Laboratory, INSERM U1042, University Grenoble Alpes, Grenoble, France
- EFCR Laboratory, Grenoble Alpes University Hospital, Grenoble, France
| | - Renaud Tamisier
- HP2 Laboratory, INSERM U1042, University Grenoble Alpes, Grenoble, France
- EFCR Laboratory, Grenoble Alpes University Hospital, Grenoble, France
| | - Raoua Ben Messaoud
- HP2 Laboratory, INSERM U1042, University Grenoble Alpes, Grenoble, France
- EFCR Laboratory, Grenoble Alpes University Hospital, Grenoble, France
| | | | - Emmanuel Mignot
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto, CA, USA
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Millet M, Ben Messaoud R, Luthold C, Bordeleau F. Coupling Microfluidic Platforms, Microfabrication, and Tissue Engineered Scaffolds to Investigate Tumor Cells Mechanobiology. Micromachines (Basel) 2019; 10:E418. [PMID: 31234497 PMCID: PMC6630383 DOI: 10.3390/mi10060418] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Revised: 06/15/2019] [Accepted: 06/19/2019] [Indexed: 12/11/2022]
Abstract
The tumor microenvironment (TME) is composed of dynamic and complex networks composed of matrix substrates, extracellular matrix (ECM), non-malignant cells, and tumor cells. The TME is in constant evolution during the disease progression, most notably through gradual stiffening of the stroma. Within the tumor, increased ECM stiffness drives tumor growth and metastatic events. However, classic in vitro strategies to study the TME in cancer lack the complexity to fully replicate the TME. The quest to understand how the mechanical, geometrical, and biochemical environment of cells impacts their behavior and fate has been a major force driving the recent development of new technologies in cell biology research. Despite rapid advances in this field, many challenges remain in order to bridge the gap between the classical culture dish and the biological reality of actual tissue. Microfabrication coupled with microfluidic approaches aim to engineer the actual complexity of the TME. Moreover, TME bioengineering allows artificial modulations with single or multiple cues to study different phenomena occurring in vivo. Some innovative cutting-edge tools and new microfluidic approaches could have an important impact on the fields of biology and medicine by bringing deeper understanding of the TME, cell behavior, and drug effects.
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Affiliation(s)
- Martial Millet
- CHU de Québec-Université Laval Research Center (Oncology division), Université Laval Cancer Research Center and Faculty of Medicine, Université Laval, Québec, QC G1R 3S3, Canada.
| | - Raoua Ben Messaoud
- CHU de Québec-Université Laval Research Center (Oncology division), Université Laval Cancer Research Center and Faculty of Medicine, Université Laval, Québec, QC G1R 3S3, Canada.
| | - Carole Luthold
- CHU de Québec-Université Laval Research Center (Oncology division), Université Laval Cancer Research Center and Faculty of Medicine, Université Laval, Québec, QC G1R 3S3, Canada.
| | - Francois Bordeleau
- CHU de Québec-Université Laval Research Center (Oncology division), Université Laval Cancer Research Center and Faculty of Medicine, Université Laval, Québec, QC G1R 3S3, Canada.
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Jacquet A, Cottet-Rousselle C, Arnaud J, Julien Saint Amand K, Ben Messaoud R, Lénon M, Demeilliers C, Moulis JM. Mitochondrial Morphology and Function of the Pancreatic β-Cells INS-1 Model upon Chronic Exposure to Sub-Lethal Cadmium Doses. Toxics 2018; 6:E20. [PMID: 29565305 PMCID: PMC6027415 DOI: 10.3390/toxics6020020] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Revised: 03/12/2018] [Accepted: 03/20/2018] [Indexed: 11/29/2022]
Abstract
The impact of chronic cadmium exposure and slow accumulation on the occurrence and development of diabetes is controversial for human populations. Islets of Langerhans play a prominent role in the etiology of the disease, including by their ability to secrete insulin. Conversion of glucose increase into insulin secretion involves mitochondria. A rat model of pancreatic β-cells was exposed to largely sub-lethal levels of cadmium cations applied for the longest possible time. Cadmium entered cells at concentrations far below those inducing cell death and accumulated by factors reaching several hundred folds the basal level. The mitochondria reorganized in response to the challenge by favoring fission as measured by increased circularity at cadmium levels already ten-fold below the median lethal dose. However, the energy charge and respiratory flux devoted to adenosine triphosphate synthesis were only affected at the onset of cellular death. The present data indicate that mitochondria participate in the adaptation of β-cells to even a moderate cadmium burden without losing functionality, but their impairment in the long run may contribute to cellular dysfunction, when viability and β-cells mass are affected as observed in diabetes.
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Affiliation(s)
- Adeline Jacquet
- Laboratory of Fundamental and Applied Bioenergetics (LBFA), Inserm, Universite Grenoble Alpes, 38000 Grenoble, France.
| | - Cécile Cottet-Rousselle
- Laboratory of Fundamental and Applied Bioenergetics (LBFA), Inserm, Universite Grenoble Alpes, 38000 Grenoble, France.
| | - Josiane Arnaud
- Laboratory of Fundamental and Applied Bioenergetics (LBFA), Inserm, Universite Grenoble Alpes, 38000 Grenoble, France.
- Biochemistry, Molecular Biology and Environmental Toxicology (SB2TE), Grenoble University Hospital, CS 10217, 38043 Grenoble, France.
| | - Kevin Julien Saint Amand
- Laboratory of Fundamental and Applied Bioenergetics (LBFA), Inserm, Universite Grenoble Alpes, 38000 Grenoble, France.
| | - Raoua Ben Messaoud
- Laboratory of Fundamental and Applied Bioenergetics (LBFA), Inserm, Universite Grenoble Alpes, 38000 Grenoble, France.
| | - Marine Lénon
- Laboratory of Fundamental and Applied Bioenergetics (LBFA), Inserm, Universite Grenoble Alpes, 38000 Grenoble, France.
| | - Christine Demeilliers
- Laboratory of Fundamental and Applied Bioenergetics (LBFA), Inserm, Universite Grenoble Alpes, 38000 Grenoble, France.
| | - Jean-Marc Moulis
- Laboratory of Fundamental and Applied Bioenergetics (LBFA), Inserm, Universite Grenoble Alpes, 38000 Grenoble, France.
- CEA-Grenoble, Bioscience and Biotechnology Institute (BIG), 38054 Grenoble, France.
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