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Enregistrement W4392752674 · doi:10.1113/ep091795

Experimental bed rest as a model to investigate mechanisms of, and countermeasures against, microgravity and disease‐free inactivity

2024· article· en· W4392752674 sur OpenAlexfundaboutno aff
Rodrigo Fernandez‐Gonzalo, Colleen S. Deane, Damian M. Bailey

Notice bibliographique

RevueExperimental Physiology · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueSpaceflight effects on biology
Établissements canadiensnon disponible
Organismes subventionnairesCanadian Institutes of Health ResearchCanadian Space AgencySwedish National Space Agency
Mots-clésRest (music)Bed restDiseaseMedicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

More humans are now entering space than ever before, owing to significant investment from governmental and commercial agencies looking ambitiously to expand the reach of humanity beyond low Earth orbit, involving habitation of a permanent base on the surface of the Moon ahead of the horizon goal, a crewed mission to the red planet, Mars. With the advent of long-duration interstellar travel, there is mounting pressure to gain a better understanding of the functionally integrated physiological responses to, and countermeasures that mitigate against, the maladaptive changes incurred by microgravity and physical inactivity. Owing to the technical, logistical and financial costs associated with conducting spaceflight research, 6° head-down-tilt bed rest (HDBR), first introduced by a Soviet team led by Genin and Kakurin (1972), has become the mainstay ground-based analogue of microgravity (Hargens & Vico, 2016). In this issue of Experimental Physiology, Hajj-Boutros et al. (2024) comprehensively detail the first Canadian study (supported by the Canadian Space Agency, Canadian Institutes of Health Research and Canadian Frailty Network) that seeks to characterize the physiological, psychological and cognitive responses to 14 days of HDBR and to assess the adaptive benefits of exercise during HDBR. This national effort, composed of eight research teams, involved the recruitment of 23 older males and females (55–65 years), who completed 14 days of HDBR, followed by 7 days of recovery (supervised rehabilitation in all participants). During HDBR, half of the participants performed aerobic (high-intensity interval training or low-intensity cycling) and resistance exercise (upper and lower body, 3 sets of 12–15 repetitions at a personalized intensity) in the HDBR or horizontal position three times daily for 60–75 min in total, to test its efficacy as a countermeasure. Participants completed a battery of tests conducted at baseline, during HDBR, during the recovery period and at 4 weeks and 4 months post recovery, involving collection of demographics, cardiorespiratory fitness, bone health, body composition, quality of life, mental health, cognition, muscle health and biological samples for subsequent metabolic and molecular analysis (e.g., mitochondrial function, immunohistochemistry, RNA and protein analysis) (Hajj-Boutros et al., 2024). Although many previous studies have been conducted using HDBR (highlighted by e.g., Hargens & Vico, 2016; Kehler et al., 2019), this study stands out owing to the comprehensive nature of the many multidisciplinary measures taken at numerous time points, providing important insight into the temporal kinetics underlying the integrative physiological responses across the functional continuum of adaptation to maladaptation. This study extends the authors’ prior findings focused on HDBR-induced changes in body composition (Hajj-Boutros et al., 2023), muscle strength (Hajj-Boutros et al., 2023), baroreflex responses (Sadeghian et al., 2022) and cardiovascular function (Hajj-Boutros et al., 2023) and will continue to inform the molecular mechanisms of HDBR and efficacy of exercise as a potential countermeasure. Their findings might also help to standardize/optimize sample collection methodologies that can be adopted by future researchers to reduce biological heterogeneity and create ‘big data’ repositories that can better inform future countermeasure discovery and development. Hajj-Boutros et al. (2024) emphasize the relevance of the bed rest model to identify physiological events triggered by microgravity or severe inactivity and the underlying mechanisms driving these changes. Since the pioneering study by Deitrick, Whedon, and Shorr some three-quarters of a century ago, in which medical students were placed in (horizontal) bed for 6–7 weeks (Deitrick et al., 1948), the bed rest model has proved its worth as an excellent platform to test systemic and local responses to disease-free inactivity or microgravity. Indeed, well-conducted bed rest studies make it possible to control the majority of external variables that would otherwise be considered potential confounders, including temperature, light–dark cycles, humidity, oxygen/carbon dioxide partial pressures, diet, activity and sleep. This level of experimental control including detailed longitudinal sampling is unique, notwithstanding obvious limitations given that it is impossible for any ground-based analogue to replicate deep space flight ‘fully’. Experimental bed rest is not only a ground-based analogue of microgravity but is also a highly relevant clinical model reflecting periods of bed rest that occur alongside surgery, injury or illness. As such, deciphering the mechanisms governing adaptation to HDBR might provide unique insight into the processes underlying deconditioning, which is especially relevant in older adults, who are more susceptible to periods of hospitalization (Kehler et al., 2019). Moreover, interventions shown to be effective in the HDBR model could be expected to translate into the clinic, improving the physiological and psychosocial outcomes of patients and older adults. Another very important and positive feature of the bed rest model is that it has proved to be a useful framework to test countermeasures that mitigate against microgravity and/or severe inactivity-induced maladaptation. Indeed, exercise, nutritional, psychological and pharmaceutical countermeasures can be implemented with a level of control unparalleled by any other human research model. Clinical trials with a control group (bed rest only) and an intervention group (countermeasure) provide unique details about the efficacy and feasibility of the countermeasure being tested. However, given the inherent logistics and cost implications, the ability to compare multiple countermeasures within the same study is understandably limited. Indeed, only the major space agencies can prepare, fund and perform these types of specialist experiments. For example, the European Space Agency is currently conducting two 60-day bed rest studies (i.e., BRACE: Bed Rest with Artificial gravity and Cycling Exercise, and BRAVE: Bed Rest with Artificial gravity and Vibration and resistance Exercise), each with three study arms: bed rest only, bed rest and exercise, and bed rest and exercise and artificial gravity. Only with this design, or with the advent of global standardization as highlighted before, can future researchers identify which countermeasure is potentially ‘optimal’ to safeguard crew health and performance, an obligatory requirement for spaceflight beyond low Earth orbit. In conclusion, the study by Hajj-Boutros et al. (2024) demonstrates that it is feasible to conduct a comprehensive longitudinal bed rest study offering unique temporal and mechanistic insight in older participants. This integrative approach will allow the research teams to investigate the effects of bed rest and the countermeasures adopted in most of the physiological systems of the human body. It is also important to highlight that a great part of the successful implementation of this Canadian endeavour is the involvement of multiple collaborators with different backgrounds, creating a dynamic and efficient multidisciplinary environment, with the whole being more than the sum of its parts! All authors have read and approved the final version of this manuscript and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All persons designated as authors qualify for authorship, and all those who qualify for authorship are listed. Damian Bailey is Editor-in-Chief of Experimental Physiology, Chair of the Life Sciences Working Group, member of the Human Spaceflight and Exploration Science Advisory Committee to the European Space Agency, member of the Space Exploration Advisory Committee to the UK Space Agency, member of the National Cardiovascular Network for Wales and South East Wales Vascular Network and is affiliated to the companies FloTBI, Inc. and Bexorg, Inc. focused on the technological development of novel biomarkers of cerebral bioenergetic function and structural damage in humans.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,021
Tête enseignante GPT0,317
Écart entre enseignants0,296 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2024
Routes d'admission2
Résumé présentoui

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