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Kolind ME, Kruse R, Petersen AS, Larsen CS, Bak LK, Højlund K, Beier CP, Stenager E, Juhl CB. Investigating the role of obesity, circadian disturbances and lifestyle factors in people with schizophrenia and bipolar disorder: Study protocol for the SOMBER trial. PLoS One 2024; 19:e0306408. [PMID: 38976708 PMCID: PMC11230533 DOI: 10.1371/journal.pone.0306408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 06/13/2024] [Indexed: 07/10/2024] Open
Abstract
The aim of this study is to investigate circadian rhythms in independently living adults with obesity and mental disease, exploring the interplay between biological markers and lifestyle factors. Eighty participants divided equally into four groups; (i) people with obesity and schizophrenia; (ii) people with obesity and bipolar disorder; (iii) people with obesity without mental disease or sleep disorders, and (iv) people without obesity, mental disease or sleep disorders. Over two consecutive days, participants engage in repeated self-sampling of hair follicle and saliva; concurrently, data is collected on diet, body temperature, light exposure, sleep parameters, and physical activity by accelerometry. Hair follicles are analyzed for circadian gene expression, saliva samples for cortisol and melatonin concentrations. Circadian rhythms are investigated by cosinor analysis. The study employs a participant-tailored sampling schedule to minimize disruptions to daily routine and enhance ecological validity. The methodology aims to provide a comprehensive insight into the factors contributing to circadian disruptions in people with obesity, bipolar disorder and schizophrenia, potentially informing strategies for future management and mitigation. Trial registration: (ClinicalTrials.gov Identifier: NCT05413486).
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Affiliation(s)
- Mikkel Ei Kolind
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
- Open Patient data Explorative Network-OPEN, University of Southern Denmark, Odense, Denmark
- Department of Endocrinology, Hospital of South West Jutland, Esbjerg, Denmark
| | - Rikke Kruse
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Anni S Petersen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Charlotte S Larsen
- Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Lasse K Bak
- Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Kurt Højlund
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Christoph P Beier
- Open Patient data Explorative Network-OPEN, University of Southern Denmark, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Neurology, Odense University Hospital, Odense, Denmark
| | - Elsebeth Stenager
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Claus B Juhl
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
- Open Patient data Explorative Network-OPEN, University of Southern Denmark, Odense, Denmark
- Department of Endocrinology, Hospital of South West Jutland, Esbjerg, Denmark
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Kervezee L, Dashti HS, Pilz LK, Skarke C, Ruben MD. Using routinely collected clinical data for circadian medicine: A review of opportunities and challenges. PLOS DIGITAL HEALTH 2024; 3:e0000511. [PMID: 38781189 PMCID: PMC11115276 DOI: 10.1371/journal.pdig.0000511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
A wealth of data is available from electronic health records (EHR) that are collected as part of routine clinical care in hospitals worldwide. These rich, longitudinal data offer an attractive object of study for the field of circadian medicine, which aims to translate knowledge of circadian rhythms to improve patient health. This narrative review aims to discuss opportunities for EHR in studies of circadian medicine, highlight the methodological challenges, and provide recommendations for using these data to advance the field. In the existing literature, we find that data collected in real-world clinical settings have the potential to shed light on key questions in circadian medicine, including how 24-hour rhythms in clinical features are associated with-or even predictive of-health outcomes, whether the effect of medication or other clinical activities depend on time of day, and how circadian rhythms in physiology may influence clinical reference ranges or sampling protocols. However, optimal use of EHR to advance circadian medicine requires careful consideration of the limitations and sources of bias that are inherent to these data sources. In particular, time of day influences almost every interaction between a patient and the healthcare system, creating operational 24-hour patterns in the data that have little or nothing to do with biology. Addressing these challenges could help to expand the evidence base for the use of EHR in the field of circadian medicine.
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Affiliation(s)
- Laura Kervezee
- Group of Circadian Medicine, Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
| | - Hassan S. Dashti
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Luísa K. Pilz
- Department of Anesthesiology and Intensive Care Medicine CCM / CVK, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- ECRC Experimental and Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Carsten Skarke
- Institute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Chronobiology and Sleep Institute (CSI), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Marc D. Ruben
- Divisions of Pulmonary and Sleep Medicine and Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, United States of America
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Chavanne A, Jacobi D. Precision medicine in endocrinology: Unraveling metabolic health through time-restricted eating. ANNALES D'ENDOCRINOLOGIE 2024; 85:63-69. [PMID: 38101564 DOI: 10.1016/j.ando.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023]
Abstract
As a promising avenue in nutrition, intermittent fasting, particularly time-restricted eating like the 8/16 protocol, requires careful individualization. This approach involves voluntary food restriction interspersed with normal eating, aiming to align with inner circadian rhythms for potential benefits in metabolism and weight management. Endocrinologists, responding to patient interest and backed by evidence-based medicine, can now delve into the intricacies of time-restricted eating. They consider each patient's unique medical history and expectations, integrating this approach into tailored treatment plans in a personalized medicine approach. Ongoing research is essential to deepen our comprehension of how time-restricted eating influences metabolic health, enabling the development of precise recommendations suitable for diverse populations and various clinical conditions. While time-restricted eating is a relevant metabolic approach, endocrinologists should exercise caution to prevent the promotion of eating disorders due to its restrictive nature.
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Affiliation(s)
- Albane Chavanne
- CHU de Nantes, Nantes Université, CNRS, INSERM, l'Institut du thorax, Nantes, France
| | - David Jacobi
- Institut de recherche en santé de Nantes Université, 8, quai Moncousu, 44000 Nantes, France.
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Skroce K, Zignoli A, Fontana FY, Maturana FM, Lipman D, Tryfonos A, Riddell MC, Zisser HC. Real World Interstitial Glucose Profiles of a Large Cohort of Physically Active Men and Women. SENSORS (BASEL, SWITZERLAND) 2024; 24:744. [PMID: 38339464 PMCID: PMC10857405 DOI: 10.3390/s24030744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/19/2024] [Accepted: 01/22/2024] [Indexed: 02/12/2024]
Abstract
The use of continuous glucose monitors (CGMs) in individuals living without diabetes is increasing. The purpose of this study was to profile various CGM metrics around nutritional intake, sleep and exercise in a large cohort of physically active men and women living without any known metabolic disease diagnosis to better understand the normative glycemic response to these common stimuli. A total of 12,504 physically active adults (age 40 ± 11 years, BMI 23.8 ± 3.6 kg/m2; 23% self-identified as women) wore a real-time CGM (Abbott Libre Sense Sport Glucose Biosensor, Abbott, USA) and used a smartphone application (Supersapiens Inc., Atlanta, GA, USA) to log meals, sleep and exercise activities. A total of >1 M exercise events and 274,344 meal events were analyzed. A majority of participants (85%) presented an overall (24 h) average glucose profile between 90 and 110 mg/dL, with the highest glucose levels associated with meals and exercise and the lowest glucose levels associated with sleep. Men had higher mean 24 h glucose levels than women (24 h-men: 100 ± 11 mg/dL, women: 96 ± 10 mg/dL). During exercise, the % time above >140 mg/dL was 10.3 ± 16.7%, while the % time <70 mg/dL was 11.9 ± 11.6%, with the remaining % within the so-called glycemic tight target range (70-140 mg/dL). Average glycemia was also lower for females during exercise and sleep events (p < 0.001). Overall, we see small differences in glucose trends during activity and sleep in females as compared to males and higher levels of both TAR and TBR when these active individuals are undertaking or competing in endurance exercise training and/or competitive events.
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Affiliation(s)
- Kristina Skroce
- Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia
- Supersapiens Inc., Atlanta, GA 30318, USA; (A.Z.); (H.C.Z.)
| | - Andrea Zignoli
- Supersapiens Inc., Atlanta, GA 30318, USA; (A.Z.); (H.C.Z.)
- Department of Industrial Engineering, University of Trento, 38123 Trento, Italy
| | - Federico Y. Fontana
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism (UDEM), Bern University Hospital, University of Bern, 3010 Bern, Switzerland;
| | - Felipe M. Maturana
- Sports Medicine Department, University Hospital of Tübingen, 72076 Tübingen, Germany
| | - David Lipman
- Supersapiens Inc., Atlanta, GA 30318, USA; (A.Z.); (H.C.Z.)
| | - Andrea Tryfonos
- Department of Laboratory Medicine, Division of Clinical Physiology, Karolinska Institute, 171 77 Stockholm, Sweden;
- School of Science, Department of Life Science, European University Cyprus, Nicosia 1516, Cyprus
| | - Michael C. Riddell
- School of Kinesiology and Health Science, Muscle Health Research Centre, York University, Toronto, ON M3J 1P3, Canada;
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