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Zerón-Rugerio MF, Zaragozá MC, Domingo JC, Sanmartín-Sentañes R, Alegre-Martin J, Castro-Marrero J, Cambras T. Sleep and circadian rhythm alterations in myalgic encephalomyelitis/chronic fatigue syndrome and post-COVID fatigue syndrome and its association with cardiovascular risk factors: A prospective cohort study. Chronobiol Int 2024:1-12. [PMID: 39037125 DOI: 10.1080/07420528.2024.2380020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 07/09/2024] [Indexed: 07/23/2024]
Abstract
This study aimed to investigate circadian rhythm manifestations in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) patients (including a subpopulation of long-COVID patients) and matched healthy controls while also exploring their association with cardiovascular health variables. Thirty-one ME/CFS patients (75% females), 23 individuals diagnosed with post-COVID ME/CFS (56% females) and 31 matched healthy controls (68% females) were enrolled in this study. Demographic and clinical characteristics were assessed using validated self-reported outcome measures. Actigraphy data, collected over one week, were used to analyze the 24-h profiles of wrist temperature, motor activity, and sleep circadian variables in the study participants. Associations between lipid profile with endothelial dysfunction biomarkers (such as endothelin-1, ICAM-1 and VCAM-1) and with sleep and circadian variables were also studied. No differences were found in these variables between the two group of patients. Patients showed lower activity and worse sleep quality than matched healthy controls, together with a worse lipid profile than controls, that was associated with disturbances in the circadian temperature rhythm. ICAM-1 levels were associated with plasma lipids in healthy controls, but not in patients, who showed higher levels of endothelin-1 and VCAM-1. These findings suggest that lipid profiles in ME/CFS are linked to disrupted circadian rhythms and sleep patterns, likely due to endothelial dysfunction. Furthermore, they highlight the intricate relationship between sleep, circadian rhythms, and cardiovascular health in this condition.
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Affiliation(s)
- María Fernanda Zerón-Rugerio
- Department of Clinical and Fundamental Nursing, Faculty of Nursing, University of Barcelona, Barcelona, Spain
- Nutrition and Food Safety Research Institute (INSA-UB), University of Barcelona, Barcelona, Spain
| | | | - Joan Carles Domingo
- Department of Biochemistry and Molecular Biomedicine, Faculty of Biology, University of Barcelona, Barcelona, Spain
| | - Ramon Sanmartín-Sentañes
- Division of Rheumatology, ME/CFS Clinical Unit, Vall d'Hebron University Hospital, Barcelona, Spain
- Division of Rheumatology, Research Unit in ME/CFS and Long COVID, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jose Alegre-Martin
- Division of Rheumatology, ME/CFS Clinical Unit, Vall d'Hebron University Hospital, Barcelona, Spain
- Division of Rheumatology, Research Unit in ME/CFS and Long COVID, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jesús Castro-Marrero
- Division of Rheumatology, Research Unit in ME/CFS and Long COVID, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Trinitat Cambras
- Nutrition and Food Safety Research Institute (INSA-UB), University of Barcelona, Barcelona, Spain
- Department of Biochemistry and Physiology, School of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
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Gubin D, Danilenko K, Stefani O, Kolomeichuk S, Markov A, Petrov I, Voronin K, Mezhakova M, Borisenkov M, Shigabaeva A, Yuzhakova N, Lobkina S, Weinert D, Cornelissen G. Blue Light and Temperature Actigraphy Measures Predicting Metabolic Health Are Linked to Melatonin Receptor Polymorphism. BIOLOGY 2023; 13:22. [PMID: 38248453 PMCID: PMC10813279 DOI: 10.3390/biology13010022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/29/2023] [Accepted: 12/29/2023] [Indexed: 01/23/2024]
Abstract
This study explores the relationship between the light features of the Arctic spring equinox and circadian rhythms, sleep and metabolic health. Residents (N = 62) provided week-long actigraphy measures, including light exposure, which were related to body mass index (BMI), leptin and cortisol. Lower wrist temperature (wT) and higher evening blue light exposure (BLE), expressed as a novel index, the nocturnal excess index (NEIbl), were the most sensitive actigraphy measures associated with BMI. A higher BMI was linked to nocturnal BLE within distinct time windows. These associations were present specifically in carriers of the MTNR1B rs10830963 G-allele. A larger wake-after-sleep onset (WASO), smaller 24 h amplitude and earlier phase of the activity rhythm were associated with higher leptin. Higher cortisol was associated with an earlier M10 onset of BLE and with our other novel index, the Daylight Deficit Index of blue light, DDIbl. We also found sex-, age- and population-dependent differences in the parametric and non-parametric indices of BLE, wT and physical activity, while there were no differences in any sleep characteristics. Overall, this study determined sensitive actigraphy markers of light exposure and wT predictive of metabolic health and showed that these markers are linked to melatonin receptor polymorphism.
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Affiliation(s)
- Denis Gubin
- Department of Biology, Tyumen Medical University, 625023 Tyumen, Russia
- Laboratory for Chronobiology and Chronomedicine, Research Institute of Biomedicine and Biomedical Technologies, Tyumen Medical University, 625023 Tyumen, Russia; (K.D.); (A.S.)
- Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Sciences, 634009 Tomsk, Russia
| | - Konstantin Danilenko
- Laboratory for Chronobiology and Chronomedicine, Research Institute of Biomedicine and Biomedical Technologies, Tyumen Medical University, 625023 Tyumen, Russia; (K.D.); (A.S.)
- Institute of Neurosciences and Medicine, 630117 Novosibirsk, Russia
| | - Oliver Stefani
- Department Engineering and Architecture, Institute of Building Technology and Energy, Lucerne University of Applied Sciences and Arts, 6048 Horw, Switzerland;
| | - Sergey Kolomeichuk
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
- Laboratory of Genetics, Institute of Biology of the Karelian Science Center, Russian Academy of Sciences, 185910 Petrozavodsk, Russia
| | - Alexander Markov
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
| | - Ivan Petrov
- Department of Biological & Medical Physics UNESCO, Medical University, 625023 Tyumen, Russia
| | - Kirill Voronin
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
| | - Marina Mezhakova
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
| | - Mikhail Borisenkov
- Department of Molecular Immunology and Biotechnology, Institute of Physiology of the Federal Research Centre Komi Science Centre, Ural Branch of the Russian Academy of Sciences, 167982 Syktyvkar, Russia;
| | - Aislu Shigabaeva
- Laboratory for Chronobiology and Chronomedicine, Research Institute of Biomedicine and Biomedical Technologies, Tyumen Medical University, 625023 Tyumen, Russia; (K.D.); (A.S.)
| | - Natalya Yuzhakova
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
| | - Svetlana Lobkina
- Healthcare Institution of Yamalo-Nenets Autonomous Okrug “Tarko-Sale Central District Hospital”, 629850 Urengoy, Russia;
| | - Dietmar Weinert
- Institute of Biology/Zoology, Martin Luther University, 06108 Halle-Wittenberg, Germany;
| | - Germaine Cornelissen
- Department of Integrated Biology and Physiology, University of Minnesota, Minneapolis, MN 55455, USA;
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Zerón-Rugerio MF, Díez-Noguera A, Izquierdo-Pulido M, Cambras T. Higher eating frequency is associated with lower adiposity and robust circadian rhythms: a cross-sectional study. Am J Clin Nutr 2021; 113:17-27. [PMID: 33094802 DOI: 10.1093/ajcn/nqaa282] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 09/14/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Although overweight and obesity are assumed to arise from an energy imbalance, evidence has shown that the frequency and timing of meals are also potential risk factors for obesity. However, the lack of a consistent approach to define eating patterns relative to internal circadian rhythms limits the extent of these findings. OBJECTIVES The objective of this study was to investigate the association of the circadian pattern of energy intake with adiposity and with internal circadian rhythms. METHODS A total of 260 Spanish adults (aged 20-30 y; 78.1% women) were included in a 6-d cross-sectional study. Participants documented sleep and dietary intake within the study period. From these data, we evaluated the chronotype, eating patterns (meal timing, eating duration, and eating frequency), and we obtained the daily profile of energy intake. In addition, we evaluated the circadian pattern of wrist temperature (internal circadian rhythm marker). Circadian patterns of energy intake and wrist temperature were analyzed, and their association among them and with anthropometric variables and diet quality was studied. RESULTS The greater fragmentation of the circadian pattern of energy intake was associated with lower BMI (in kg/m2; -10.55; 95% CI: -16.96, -4.13; P = 0.001). In addition, a greater eating frequency (≥5 eating occasions/d) was significantly associated with lower BMI (-1.88; 95% CI: -3.27, -0.48) and higher energy intake after 20:00 (4.14% of kcal; 95% CI: 1.67, 7.16). Furthermore, a greater eating frequency was associated with lower fragmentation (P = 0.042) and greater stability of the circadian pattern of wrist temperature (P = 0.016). CONCLUSIONS The daily pattern of energy intake is associated with adiposity and robust circadian rhythms. Our results shed light on the relevance of eating frequency as a potential zeitgeber for the circadian system. Although more evidence is needed, eating frequency could be considered for future chrono-nutritional recommendations for the prevention of circadian misalignment and obesity.
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Affiliation(s)
- María Fernanda Zerón-Rugerio
- Department of Nutrition, Food Science, and Gastronomy, School of Pharmacy and Food Science, University of Barcelona, Barcelona, Spain.,Nutrition and Food Safety Research Institute (INSA-UB), University of Barcelona, Barcelona, Spain
| | - Antoni Díez-Noguera
- Department of Biochemistry and Physiology, School of Pharmacy and Food Science, University of Barcelona, Barcelona, Spain
| | - Maria Izquierdo-Pulido
- Department of Nutrition, Food Science, and Gastronomy, School of Pharmacy and Food Science, University of Barcelona, Barcelona, Spain.,Nutrition and Food Safety Research Institute (INSA-UB), University of Barcelona, Barcelona, Spain
| | - Trinitat Cambras
- Department of Biochemistry and Physiology, School of Pharmacy and Food Science, University of Barcelona, Barcelona, Spain
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