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Enregistrement W4382798403 · doi:10.1093/sleep/zsad174

Sleep apnea and diet-induced obesity—the female advantage on the spotlight

2023· letter· en· W4382798403 sur OpenAlexaff
Mohammad Badran, Vincent Joseph

Notice bibliographique

RevueSLEEP · 2023
Typeletter
Langueen
DomaineMedicine
ThématiqueObstructive Sleep Apnea Research
Établissements canadiensUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
Organismes subventionnairesnon disponible
Mots-clésObesitySleep apneaSleep (system call)MedicineObstructive sleep apneaApneaInternal medicinePediatricsPsychologyCardiologyComputer science

Résumé

récupéré en direct d'OpenAlex

The scientific journey that established the association between sleep-disordered breathing (SDB) and obesity started during the late 19th century, as medical practitioners sought to address whether obese patients with extreme daytime sleepiness had altered sleep patterns (see [1] for historical account). Cessations of breathing during sleep in these patients were reported, and anecdotical evidence that weight loss could resolve the daytime sleepiness was highlighted. One aspect of this history is the association of the typical figure of a middle-aged, obese, male patient, that characterized the “Pickwickian syndrome,” based on one of the characters of the “Posthumous Papers of the Pickwick Club,” a famous Charles Dickens novel. There was a hint of truth in this male-centered popular description, and the view that a “strong male predominance” of sleep apnea syndrome persisted in the literature during the late 20th century [2]. Current epidemiological data nonetheless indicate that the ratio of male to female in sleep apnea patients is around 2:1 to 3:1 [3, 4] and given the high prevalence of sleep apnea in the general population [3, 5], this indicates that a considerable number of women suffer from sleep apnea worldwide. Yet, as for most research on sleep apnea [6], the association with obesity remains far less studied in females than in males despite strong evidence that metabolic phenotypes largely differ in males and females [7, 8], and that across a large range of body mass index, the prevalence of sleep apnea remains lower in women [9]. The main objective of the study by Kim et al. was to investigate the effects of diet-induced obesity (DIO) on breathing and sleep in female mice [10], and to compare them to previously observed effects in male mice [11, 12]. Remarkably, they found that, unlike male mice, DIO did not lead to SDB in female mice. The study had four main findings. Firstly, obese female mice had reduced metabolism and showed decreased respiratory sensitivity to carbon dioxide (CO2) during wakefulness. Secondly, unlike males, DIO did not increase arousal frequency in females. However, sleep fragmentation in obese females was higher than previously reported in males, and mainly attributed to non-respiratory arousals (characterized by simultaneous respiratory and EEG/EMG recordings in freely behaving mice) suggesting that the primary cause of sleep disruption was not related to breathing abnormalities. Thirdly, compared to lean females, obese females were able to protect their ventilation, resulting in decreased severity of apnea, and more stable breathing during sleep. This was unexpected, as obesity is generally associated with breathing problems during sleep as highlighted above. Finally, obesity attenuated the ventilatory response to arousals, suggesting that the reduced severity of SDB in female mice with obesity could be due to this attenuated response. Sex differences in the effects of DIO have been previously observed, with female mice showing a delay in weight gain and resistance to metabolic dysfunctions associated with obesity [7, 8]. However, chronic high-fat feeding eventually leads to obesity in female mice. In this study, about 60% of female mice showed significant weight gain on a high-fat diet, reaching similar levels of obesity as male mice with DIO. Female DIO mice also exhibited increased body fat mass and severe hyperleptinemia, which are key features of human obesity. Metabolism (measures as whole body O2 consumption and CO2 production rates—corrected to body mass) in female DIO mice decreased, and this was related to the increased fat mass, but overall remained higher than previously reported in males with DIO, which corresponds to previous sex-specific findings [7]. This suggests that females may be relatively protected from the detrimental effects of obesity on metabolism compared to males. The study acknowledges several limitations that should be taken into consideration. Firstly, the analysis only focused on female mice, which limited the assessment of sex differences in DIO-induced SDB and sleep fragmentation. Previous data on male DIO mice were used for comparison, but direct analysis of sex differences was not performed. Secondly, the effects of the estrous cycle on sleep and SDB in obese mice could not be fully examined due to the limited number of mice that developed DIO. However, most mice in lean and DIO groups were in the proestrus and estrus phases, and the exclusion of mice in diestrus and metestrus did not affect the outcomes. It should be noted that chronic high-fat feeding can disrupt the female reproductive cycle, potentially compromising the analysis of the estrous cycle in the context of DIO [13, 14]. Thirdly, the study did not measure ovarian hormone levels in obese and lean females. While it is known that DIO increases estrogen levels in female mice [14], the interactions between ovarian hormones, CO2 sensitivity, arousal reflexes, and SDB are not sufficiently understood to explain the differences observed in this study. It should nonetheless be emphasized that reports from the literature show that variability of physiological or biological parameters in female mice is not different than what is observed in males, and sometimes even lower, across a wide range of variables [15, 16], and ignoring potential variability associated with the estrous cycle is perfectly acceptable in preclinical studies. While repeating the experiments in ovariectomized female mice is warranted to understand the roles of ovarian hormones and their interaction with DIO, the roles of testosterone in males on respiratory and metabolic responses in SDB should not be overlooked [17, 18]. Fourthly, sleep studies were conducted for only 6 hours during the light phase. Longer recordings could have provided a more comprehensive analysis of sleep architecture and sleep fragmentation in female mice. Lastly, the analysis of CO2 sensitivity was only performed during wakefulness. Measuring hypercapnic ventilatory response (HCVR) during sleep is challenging since mice are more likely to wake up with the 8% CO2 flush used in the experiment, and while the ventilatory response to arousal was carefully monitored, the arousal response to CO2 was not evaluated. These limitations highlight areas that could be addressed in future studies to further enhance our understanding of the effects of DIO on sleep and breathing, including the consideration of sex and age differences, the impact of the estrous cycle and gonadal hormones in males and females, and the comprehensive analysis of sleep architecture and CO2 sensitivity during sleep. As for clinical relevance, the study points towards a protective effect of female sex against sleep disruption and SDB in females compared to males, but also towards a protective effect in obese females compared to lean ones, which seems rather counterintuitive. Despite the controversial role of obesity in women and its effects on ventilatory responses to SDB, the findings of the current study should be interpreted with caution, since the detrimental effects on obesity, in general, outweigh any protective effects it may offer against SDB. Overall, this study provides insights into the complex relationship between obesity, breathing, and sleep, highlighting sex differences in the response to obesity. The findings of the study are descriptive in nature, but essential, nonetheless. The study contributes to our understanding of how obesity affects sleep-related health issues and the potential protective effects of female sex. Further research is needed to elucidate the underlying mechanisms driving these sex differences and their implications for human health. Financial disclosure: The authors have nothing to disclose. Nonfinancial disclosure: The authors have nothing to disclose.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,045
Score d'incertitude au seuil0,028

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,011
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0040,004
Communication savante0,0030,005
Science ouverte0,0010,002
Intégrité de la recherche0,0450,034
Charge utile insuffisante (le modèle a refusé de juger)0,0080,004

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 Opus0,034
Tête enseignante GPT0,295
Écart entre enseignants0,262 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations2
Publié2023
Routes d'admission1
Résumé présentnon

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