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Effects of acute sleep loss on leptin, ghrelin, and adiponectin in adults with healthy weight and obesity: A laboratory study.
van Egmond, LT, Meth, EMS, Engström, J, Ilemosoglou, M, Keller, JA, Vogel, H, Benedict, C
Obesity (Silver Spring, Md.). 2023;31(3):635-641
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A lack of sleep may be a risk factor for weight gain. Leptin is an adipocyte-derived hormone that activates satiety networks within the brain. Ghrelin, as opposed to leptin, is mainly produced by the stomach and it acts as a hunger hormone, signalling fuel status to the central nervous system. Some studies have found either no alterations or higher leptin and lower ghrelin blood levels following experimental sleep deprivation. The aim of this study was to investigate whether blood concentrations of leptin, ghrelin, and adiponectin are affected by acute total sleep deprivation in a sex- and weight-specific manner. This study is a laboratory study based on blood samples from 44 participants, mainly university students. Results show that: - acute total sleep deprivation is linked to lower serum levels of the adipokine leptin and higher blood levels of ghrelin. - following sleep deprivation, serum adiponectin levels were elevated. - the drop in serum leptin was larger in women after total sleep deprivation; however, there wasn’t a significant association between biological sex and experimental condition. - the increase in blood levels of adiponectin was slightly more pronounced among women, whereas there weren’t any differences in the effects of sleep loss on plasma ghrelin. Authors conclude that acute total sleep deprivation shifts the endocrine balance from the satiety hormone leptin toward the hunger-promoting hormone ghrelin. However, further investigation in larger samples focusing on their findings linked to sex- and weight-specific differences in leptin, ghrelin, and adiponectin are needed.
Expert Review
Conflicts of interest:
None
Take Home Message:
Sleep deprivation may shift the balance of appetite controlling hormones causing an increase in hunger and decreased satiety and therefore resulting in increased food intake. These changes may be more pronounced in biological females.
Evidence Category:
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X
A: Meta-analyses, position-stands, randomized-controlled trials (RCTs)
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B: Systematic reviews including RCTs of limited number
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C: Non-randomized trials, observational studies, narrative reviews
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D: Case-reports, evidence-based clinical findings
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E: Opinion piece, other
Summary Review:
Introduction
Sleep deprivation may contribute to weight gain and obesity through its effect on the hormonal pathways promoting hunger and satiety. Research has also linked chronic sleep loss with an increase in the brain reward response to food, thus driving an increase in daily food intake. Leptin and ghrelin are hormones involved in the control of food intake. Some research has associated alterations in these hormones following sleep loss, whilst others have not.
This study aimed to investigate whether biological sex and weight status affect fasting serum levels of leptin, ghrelin and adiponectin following chronic sleep deprivation in a supervised laboratory setting.
Methods
This randomised crossover design study included n=44 mixed sex participants with a mean age of 24.9 years. A total of 19 of the participants were classed as obese, with the remaining n= 25 participants were considered normal weight. Participants completed 2 nights in experimental sessions under continuously supervised conditions in a laboratory. One night was spent awake and the other asleep. Fasting blood samples were taken the morning after each session to measure levels of leptin, ghrelin and adiponectin.
Results
Serum levels of leptin after one night’s sleep loss were around 7% lower than those measured after sleep (17.3 = +/-2.6 vs 18.6 +/- 2.8 ng/mL, p = 0.037). Adjustments using sex-stratified analysis showed significantly lower levels of serum leptin in women (25.8 +/_4.3 vs 28.1 +/_ 4.7 ng/mL, p = 0.030) but not for men (10.1 +/_ 2.4 vs 10.6 +/_ 2.3 ng/mL, p = 0.458). However, when comparing individual participant differences between sleep and wake sessions, the results were not significant. Additionally, no significant differences were found between normal weight and obese participants.
Higher levels of ghrelin were found following sleep deprivation in both sexes and weight sub-groups (839.4 +/-77.5 vs 741.4+/-63.2 pg/mL, p= 0.003). Adiponectin was also found to be elevated in all participants regardless of biological sex or weight status (7.5 +/- 0.6 vs 6.8 +/- 0.6ug/mL, p= 0.003). However, ghrelin was observed to increase slightly more in participants with obesity, whereas elevations in adiponectin were slightly greater in those of normal weight.
Conclusion
In this study, sleep loss was associated with lowered levels of leptin and higher levels of ghrelin. Analysis between biological sexes indicated that there may be a greater decrease in leptin in females. Serum levels of adiponectin were also found to be elevated after sleep deprivation for both sexes with a slightly larger increase in women. These changes may result in increased hunger and food intake and decreased satiety. No significant differences were found between normal weight and obese participants.
Notes: The authors reported no conflicts of interest.
Clinical practice applications:
Sleep deprivation may lead to lower levels of leptin in both sexes with a greater decrease for females. Ghrelin and adiponectin levels may be increased in both men and women after sleep loss with a slightly larger increase in adiponectin for women. This could lead to an increase in appetite, food consumption and therefore weight gain, particularly in women.
Considerations for future research:
- Larger studies are needed to investigate sex and weight status related differences in serum levels of ghrelin, leptin and adiponectin.
- It may be beneficial for blood samples to be taken at different points during the day to allow for fluctuations in hormone levels.
- Food intake should be measured to monitor any increases in food intake.
Abstract
OBJECTIVE This study investigated whether blood concentrations of leptin, ghrelin, and adiponectin are affected by acute total sleep deprivation in a sex- and weight-specific manner. METHODS A total of 44 participants (mean age 24.9 years; 20 women; 19 with obesity) participated in a crossover design, including one night of sleep deprivation and one night of sleep in the laboratory. After each night, fasting blood was collected. RESULTS After sleep deprivation, fasting levels of leptin were lower (mean [SE], vs. sleep: 17.3 [2.6] vs. 18.6 [2.8] ng/mL), whereas those of ghrelin and adiponectin were higher (839.4 [77.5] vs. 741.4 [63.2] pg/mL and 7.5 [0.6] vs. 6.8 [0.6] μg/mL, respectively; all p < 0.05). The changes in leptin and adiponectin following sleep loss were more pronounced among women. Furthermore, the ghrelin increase was stronger among those with obesity after sleep loss. Finally, the sleep loss-induced increase in adiponectin was more marked among normal-weight participants. CONCLUSIONS Acute sleep deprivation reduces blood concentrations of the satiety hormone leptin. With increased blood concentrations of ghrelin and adiponectin, such endocrine changes may facilitate weight gain if persisting over extended periods of sleep loss. The observed sex- and weight-specific differences in leptin, ghrelin, and adiponectin call for further investigation.
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Sleep disruption and activation of cellular inflammation mediate heightened pain sensitivity: a randomized clinical trial.
Irwin, MR, Olmstead, R, Bjurstrom, MF, Finan, PH, Smith, MT
Pain. 2023;164(5):1128-1137
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Sleep disturbance is associated with elevated levels of inflammation. Experimental studies have found that even a modest amount of sleep loss activates inflammatory processes. Experimental sleep disruption also induces alterations in sleep architecture including loss of slow wave or N3 sleep and loss of rapid eye movement sleep. The aim of this study was to clarify whether changes in the amount of N3 sleep and cellular inflammation mediate thermal pain sensitivity (i.e., heat pain threshold) in response to experimental sleep disruption. This study was a secondary analysis (assessor-blind) of a randomised controlled trial. The enrolled participants were randomised to 1 of 2 groups: 2 nights of undisturbed sleep (US) and 2 nights of sleep disruption or forced awakening (FA). Participants underwent 2 consecutive nights of US (or FA), followed by a 2-week washout interval in their home environment, and then completed 2 consecutive nights of the opposing sleep condition FA (or US). Results showed that in healthy adults, experimental disruption of sleep due to the administration of FA induced a significant decrease in heat pain threshold, as compared with responses after US. Experimental manipulation of sleep with FA also led to disturbance in sleep continuity and changes in sleep architecture, including loss of N3 sleep. Moreover, in the morning after FA, there was a robust activation of cellular inflammation Authors conclude that the differential loss of N3 sleep and increases in cellular inflammation may be important drivers of pain sensitivity in response to sleep disruption.
Abstract
Sleep loss heightens pain sensitivity, but the pathways underlying this association are not known. Given that experimental sleep disruption induces increases in cellular inflammation as well as selective loss of slow wave, N3 sleep, this study examined whether these mechanisms contribute to pain sensitivity following sleep loss in healthy adults. This assessor-blinded, cross-over sleep condition, single-site, randomized clinical trial enrolled 95 healthy adults (mean [SD] age, 27.8 [6.4]; female, 44 [53.7%]). The 2 sleep conditions were 2 nights of undisturbed sleep (US) and 2 nights of sleep disruption or forced awakening (FA, 8 pseudorandomly distributed awakenings and 200 minutes wake time during the 8-hour sleep opportunity), administered in a cross-over design after 2 weeks of washout and in a random order (FA-US; US-FA). Primary outcome was heat pain threshold (hPTH). Sleep architecture was assessed by polysomnography, and morning levels of cellular inflammation were evaluated by Toll-like receptor-4 stimulated monocyte intracellular proinflammatory cytokine production. As compared with US, FA was associated with decreases in the amount of slow wave or N3 sleep ( P < 0.001), increases in Toll-like receptor-4 stimulated production of interleukin-6 and tumor necrosis factor-α ( P = 0.03), and decreases in hPTH ( P = 0.02). A comprehensive causal mediation analysis found that FA had an indirect effect on hPTH by decreases in N3 sleep and subsequent increases in inflammation (estimate=-0.15; 95% confidence interval, -0.30 to -0.03; P < 0.05) with the proportion mediated 34.9%. Differential loss of slow wave, N3 sleep, and increases in cellular inflammation are important drivers of pain sensitivity after sleep disruption.Clinical Trials Registration: NCT01794689.
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Sleep-Opt-In: A Randomized Controlled Pilot Study to Improve Sleep and Glycemic Variability in Adults With Type 1 Diabetes.
Martyn-Nemeth, P, Duffecy, J, Quinn, L, Steffen, A, Baron, K, Chapagai, S, Burke, L, Reutrakul, S
The science of diabetes self-management and care. 2023;49(1):11-22
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Insufficient sleep (insufficient total sleep time) and irregular sleep timing (variability in the occurrence of sleep within a 24-hour period) are increasingly recognized as important contributors to glycaemic control and variability in type 1 diabetes (T1D). The aims of this study were to evaluate the feasibility and acceptability of a sleep intervention (Sleep-Opt-In) targeted for adults with type 1 diabetes with short or irregular sleep and to examine the effects of Sleep-Opt-In on sleep duration and regularity, glucose indices, and patient-reported outcomes. This study was a randomised controlled parallel trial design. Participants (n=14) were randomly assigned to either the Sleep-Opt-In intervention or a Healthy Living attention control group. Results showed that: - Sleep-Opt-In was feasible and acceptable to the target population. - participants with objectively confirmed short or irregular sleep, sleep irregularity improved by 25 minutes on average, whereas sleep duration improved only negligibly (8 minutes). - the control group experienced an increase in sleep duration but no change in sleep regularity. Authors conclude that Sleep-Opt-In is feasible, acceptable, and promising for further evaluation to improve sleep duration or regularity, glucose parameters and important patient reported outcomes of diabetes distress, daytime sleepiness, fatigue and depressive mood in the T1D population.
Abstract
PURPOSE The purpose of this study was to evaluate the feasibility and acceptability of a technology-assisted behavioral sleep intervention (Sleep-Opt-In) and to examine the effects of Sleep-Opt-In on sleep duration and regularity, glucose indices, and patient-reported outcomes. Short sleep duration and irregular sleep schedules are associated with reduced glycemic control and greater glycemic variability. METHODS A randomized controlled parallel-arm pilot study was employed. Adults with type 1 diabetes (n = 14) were recruited from the Midwest and randomized 3:2 to the sleep-optimization (Sleep-Opt-In) or Healthy Living attention control group. Sleep-Opt-In was an 8-week, remotely delivered intervention consisting of digital lessons, sleep tracker, and weekly coaching phone calls by a trained sleep coach. Assessments of sleep (actigraphy), glucose (A1C, continuous glucose monitoring), and patient-reported outcomes (questionnaires for daytime sleepiness, fatigue, diabetes distress, and depressive mood) were completed at baseline and at completion of the intervention. RESULTS Sleep-Opt-In was feasible and acceptable. Those in Sleep-Opt-In with objectively confirmed short or irregular sleep demonstrated an improvement in sleep regularity (25 minutes), reduced glycemic variability (3.2%), and improved time in range (6.9%) compared to the Healthy Living attention control group. Patient-reported outcomes improved only for the Sleep-Opt-In group. Fatigue and depressive mood improved compared to the control. CONCLUSIONS Sleep-Opt-In is feasible, acceptable, and promising for further evaluation as a means to improve sleep duration or regularity in the population of people with type 1 diabetes.
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Changes in objectively measured sleep after a multidisciplinary lifestyle intervention in children with abdominal obesity: A randomized trial.
Catalán-Lambán, A, Ojeda-Rodríguez, A, Marti Del Moral, A, Azcona-Sanjulian, C
Sleep medicine. 2023;109:252-260
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The main factors that contribute to obesity are genetics, excessive energy intake, decreased physical activity, and sedentarism. Sleep duration, sleep timing and chronotype have also recently been recognised as possible risk factors for obesity in children. The aim of this study was to assess the effectiveness of an intervention (usual care vs. intervention group) on sleep quality and its relationship with changes in biochemical and metabolic syndrome related anthropometric parameters. This study was a randomised controlled trial. The multidisciplinary intervention consisted of a two-year program that comprised a 2-month intensive phase with individual and group sessions and a follow-up period at 12 and 24 months. Subjects were randomly assigned to the usual care or intervention group at a ratio of 1:3. Results showed that a lifestyle intervention improved most sleep parameters in children and adolescents with abdominal obesity. In fact, the lifestyle intervention showed a reduction in anthropometric indexes and several biochemical parameters, and improved sleep quality at 2, 12, and 24 months of follow-up. Decreasing sleep latency, awakenings duration and wakefulness after sleep onset (WASO) also accompanied improved sleep efficiency. Authors conclude that their findings add to the growing body of research on the relationship between sleep and metabolic health outcomes in children, emphasizing the need to consider multiple dimensions of sleep beyond just sleep duration.
Abstract
BACKGROUND/OBJECTIVE childhood obesity and sleep disorders have a well-established cross-sectional association, but lifestyle interventions' effects on sleep quality remain under-researched. This study aimed to evaluate the sleep quality of 122 participants (7-16 years) with abdominal obesity after a 2-year necessary lifestyle intervention. PATIENTS/METHODS participants were assigned to either the intervention group (moderate hypocaloric Mediterranean Diet) or the usual care group (standard recommendations on a healthy diet). Sleep was objectively assessed using triaxial accelerometry, and sleep parameters analyzed included latency, efficiency, wake after sleep onset, total time in bed, total sleep time, number of awakenings, and awakening duration. RESULTS AND CONCLUSIONS the results showed that the intervention group significantly improved sleep latency at 12 and 24 months and improved sleep efficiency at 2 and 12 months, compared to the usual care group. Wake after sleep onset and the number of awakenings were significantly reduced at 24 months in the intervention group. Wake after sleep onset and leptin levels were positively associated in all participants. Total time in bed was inversely associated with triglycerides and metabolic score, and total sleep time was inversely associated with leptin, triglycerides, and metabolic score after the 2-month intervention. Triglyceride levels were inversely associated with total time in bed and total sleep time at one year, while the metabolic score was directly associated with wake after sleep onset and the number of awakenings and inversely associated with efficiency. In conclusion, the multidisciplinary intervention in children and adolescents with abdominal obesity reduced anthropometric parameters and improved sleep habits.
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Probiotic intervention benefits multiple neural behaviors in older adults with mild cognitive impairment.
Fei, Y, Wang, R, Lu, J, Peng, S, Yang, S, Wang, Y, Zheng, K, Li, R, Lin, L, Li, M
Geriatric nursing (New York, N.Y.). 2023;51:167-175
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Mild cognitive impairment (MCI) is an intermediate stage between the normal cognitive changes associated with aging and dementia. Recent research shows that probiotic supplementation can regulate the balance of the intestinal flora and improve self-care ability and cognition in older adults. The aim of this study was to explore the effects and the underlying mechanisms of probiotic supplementation on MCI older adults. This study was a pilot randomised controlled trial (RCT) to investigate the effects of 12 weeks of probiotic supplementation in patients with MCI. Participants were randomly assigned to the probiotic group or control group. Results demonstrated the beneficial effects of probiotic supplementation intervention on multiple neural behaviours by regulating the homeostasis of the gut microbiota in older MCI patients. Authors conclude that this study provided new insights into nutrition interventions in older MCI patients. However, further trials with larger cohorts should be conducted to confirm the effects of probiotic intervention in MCI patients and provide more clinical evidence for its preventive and therapeutic effects.
Abstract
Probiotic supplements were shown to improve cognitive function in Alzheimer's disease (AD) patients. However, it is still unclear whether this applies to older individuals with mild cognitive impairment (MCI). We aimed to explore the effects of probiotic supplementation on multiple neural behaviors in older adults with MCI. Forty-two MCI patients (age > 60 years) were randomly divided into two groups and consumed either probiotics (n=21) or placebo (n=21) for 12 weeks. Various scale scores, gut microbiota measures and serological indicators were recorded pre- and posttreatment. After 12 weeks of intervention, cognitive function and sleep quality were improved in the probiotic group compared with those in the control group, and the underlying mechanisms were associated with changes in the intestinal microbiota. In conclusion, our study demonstrated that probiotic treatment enhanced cognitive function and sleep quality in older MCI patients, thus providing important insights into the clinical prevention and treatment of MCI.
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Sleep Disturbance Affects Immune Factors in Clinical Liver Cancer Patients.
Wang, Z, Wang, Y, Huang, J, Xu, J, Chen, F, Zhu, Z, Gao, L, Qin, J, Liu, B, Liang, C
Current oncology (Toronto, Ont.). 2022;29(10):7943-7952
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Many studies have shown that sleep disorders promote tumor growth and can impair immunity at the cellular level. There is however a lack of research in patients with liver cancer. The aim of this study was the asses the quality of sleep and the prevalence of disturbed sleep in patients with liver cancer and to explore whether sleep quality influences immune factors. 210 patients with liver cancer were randomly divided into 2 groups: HBV (Hepatitis B virus) cirrhosis and non-HBV cirrhosis. Their sleep quality was evaluated using a questionnaire and then the patients were divided into 2 groups according to these scores. The association between sleep disturbances and immune factors was analysed by logistic regression models. Over half the patient experienced poor sleep quality. Sleep disturbances were higher in patients with liver cancer of non-HBV cirrhosis than with that coming from the HBV virus. A rise in CD3+ T cells and a reduction in NK cells are associated with sleep disturbances in patients with non-HBV cirrhosis liver cancer. Medicines that can promote sleep and therefore improve immune function might be beneficial. Non-pharmacological sleep interventions to improve sleep quality, should be a safer choice where there are complex drug side effects.
Abstract
BACKGROUND Sleep-wake disturbance is prevalent in patients with liver cancer, but there is no direct evidence of its association and related biological mechanisms. Our study was to assess quality of sleep and to describe prevalence of sleep disturbances in patients with different etiologies of liver cancer, especially to explore whether sleep quality influences immune factors. METHODS A total of 210 patients with liver cancer from August 2015 to December 2015 were randomly divided into two groups including HBV cirrhosis and non-HBV cirrhosis. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate their sleep quality, and then 202 patients enrolled in this study were divided into two groups according to their PSQI scores: PSQI ≤ 5 and PSQI > 5. The association between sleep disturbances and immune factors was analyzed by logistic regression models. RESULTS A total of 56.9% of liver cancer patients experienced poor sleep quality (PSQI > 5). The prevalence of sleep disturbances was significantly higher in patients with liver cancer of non-hepatitis B virus (HBV) cirrhosis than with that evolving from HBV cirrhosis (66.7% vs. 50%, p = 0.018). In non-HBV cirrhosis liver cancer patients, the PSQI > 5 group had a higher percentage of CD3+ T cells (71.06 ± 11.07 vs. 63.96 ± 14.18, p = 0.014) and lower natural killer (NK) cells (14.67 ± 9.65 vs. 20.5 ± 10.77, p = 0.014) compared with patients with PSQI ≤ 5. Logistic regression further confirmed that liver cancer patients without HBV cirrhosis are more prone to experience poor sleep with increased CD3+ T cells (OR = 1.07, 95% CI = 1.01-1.13, p = 0.030) and decreased NK cells (OR = 0.92, 95% CI = 0.85-0.98, p = 0.014). Our results indicate that increased CD3+ T cells and decreased NK cells are both associated with sleep disturbances in patients with liver cancer of non-HBV cirrhosis. CONCLUSIONS Most liver cancer patients suffer from sleep disturbances, especially evolving from non-HBV cirrhosis. A rise in CD3+ T cells and a reduction in NK cells are associated with sleep disturbances in patients with liver cancer of non-HBV cirrhosis.
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Development and Effects of College-Based Lifestyle Modification Program for Menstrual Health of Young Adult Women with Irregular Menses: A Randomized Controlled Trial.
Park, YJ, Shin, H, Jeon, S, Cho, I, Park, HJ
International journal of environmental research and public health. 2020;18(1)
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Irregular menstruation is characterized by abnormal uterine bleeding, unpredictable menstrual volume, and irregularity of menstruation. A regular menstrual cycle demonstrates a normal sex hormone profile and functioning of reproductive organs, whereas irregularity may suggest a dysfunctional sex hormone profile or disorder of reproductive organs. This study is a randomised controlled trial intended to develop a College-based Lifestyle Modification Programme (LMP) to improve the menstrual health of young adult women who experienced irregular menstruation less than ten times a year, and its effects on their health. The study has two arms: intervention and control group. Female participants (n=46) were randomly assigned 1:1 to one of the two groups. Results show that the College-based LMP had positive effects on the alleviation of depression and anxiety, and improvement of sleep duration. Whereas there were no significant differences for certain variables (menstrual cycle index, sex hormone binding globulin, testosterone, free androgen index), overall premenstrual syndrome, menstrual volume, body composition parameters, and nutrient intake. Authors conclude that their findings demonstrated the importance of lifestyle modifications, which could provide ordinary young adult women with healthy menstruation. However, further studies with the use of supplements are required to address the limitations of the current study.
Abstract
Purpose: This study was conducted to develop the 'College-based Lifestyle Modification Program' (College-based LMP) for young adult women with irregular menstruation and examine its effects after intervention. Methods: The College-based LMP consisted of small group education, individual physical exercise counseling/training, individual diet counseling, and feedback and support. Participants were comprised of 38 females who reported less than 10 irregular menstruations in a year and were randomly assigned to the experimental and control groups. The primary outcome variables consisted of menstrual cycle index (MCI), sex hormone binding globulin (SHBG), and androgenic profile (testosterone-T, free androgen index-FAI), while the outcome variables included premenstrual symptoms (PMS), menstrual volume, body composition parameters, glycemic parameters (fasting blood sugar-FBS, insulin, HOMA-IR), sleep duration, perceived stress, and nutrient intake.. Results: There were no significant differences in primary outcome variables (MCI, SHBG, T, and FAI). In the variables, there were no significant differences except for the partial domain of PMS (symptoms of depression and anxiety) and sleep duration. Conclusions: The study was significant in that it demonstrated the importance of lifestyle, which could provide ordinary young adult women with healthy menstruation. The College-based LMP needs to be elaborated with further studies.
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Timing of food intake predicts weight loss effectiveness.
Garaulet, M, Gómez-Abellán, P, Alburquerque-Béjar, JJ, Lee, YC, Ordovás, JM, Scheer, FA
International journal of obesity (2005). 2013;37(4):604-11
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As obesity is a multifactorial disease, dietary interventions must take into account a range of physiological and psychological variables. There is emerging evidence linking energy regulation to the circadian clock, emphasizing that the timing of eating may play a role in weight regulation. The aim of this study was to evaluate the role of food timing in weight loss effectiveness among 420 overweight or obese participants during a 20-week weight loss treatment. Participants were grouped as either early or late eaters for consuming their main meal, and their energy intake, expenditure, appetite hormones, CLOCK genotype, sleep duration and chronotype were studied. In this study, those who ate their main meal late lost significantly less weight than early eaters. The findings of this study indicate that timing of food intake relates to long-term weight loss effectiveness in humans. These findings may help in developing therapeutic strategies for weight loss that incorporates the timing of food consumption with the traditional energy balance and macronutrient composition.
Abstract
BACKGROUND There is emerging literature demonstrating a relationship between the timing of feeding and weight regulation in animals. However, whether the timing of food intake influences the success of a weight-loss diet in humans is unknown. OBJECTIVE To evaluate the role of food timing in weight-loss effectiveness in a sample of 420 individuals who followed a 20-week weight-loss treatment. METHODS Participants (49.5% female subjects; age (mean ± s.d.): 42 ± 11 years; BMI: 31.4 ± 5.4 kg m(-2)) were grouped in early eaters and late eaters, according to the timing of the main meal (lunch in this Mediterranean population). 51% of the subjects were early eaters and 49% were late eaters (lunch time before and after 1500 hours, respectively), energy intake and expenditure, appetite hormones, CLOCK genotype, sleep duration and chronotype were studied. RESULTS Late lunch eaters lost less weight and displayed a slower weight-loss rate during the 20 weeks of treatment than early eaters (P=0.002). Surprisingly, energy intake, dietary composition, estimated energy expenditure, appetite hormones and sleep duration was similar between both groups. Nevertheless, late eaters were more evening types, had less energetic breakfasts and skipped breakfast more frequently that early eaters (all; P<0.05). CLOCK rs4580704 single nucleotide polymorphism (SNP) associated with the timing of the main meal (P=0.015) with a higher frequency of minor allele (C) carriers among the late eaters (P=0.041). Neither sleep duration, nor CLOCK SNPs or morning/evening chronotype was independently associated with weight loss (all; P>0.05). CONCLUSIONS Eating late may influence the success of weight-loss therapy. Novel therapeutic strategies should incorporate not only the caloric intake and macronutrient distribution - as is classically done - but also the timing of food.
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Impact of five nights of sleep restriction on glucose metabolism, leptin and testosterone in young adult men.
Reynolds, AC, Dorrian, J, Liu, PY, Van Dongen, HP, Wittert, GA, Harmer, LJ, Banks, S
PloS one. 2012;7(7):e41218
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Chronic sleep deprivation is a feature of modern life. It may be due to social, lifestyle and/or occupational demands. It has been associated with metabolic disorders such as type 2 diabetes, metabolic syndrome, insulin resistance and obesity. This study aimed to examine the impact of sleep restriction on glucose metabolism, triglycerides and to explore the impact on testosterone, leptin and cortisol in healthy young men. The sample were 16 men aged between 22 and 36, who did not have any acute or chronic medical or psychological conditions. Subjects were studied in groups of 3 or 4 for 9 consecutive days, and had two baseline nights of 10 hours sleep followed by five nights of 4 hours sleep. Food intake was controlled during the laboratory phase. The study found evidence of impaired glucose metabolism following sleep restriction (elevated glucose and insulin). Researchers suggested this may be due to a rise in afternoon cortisol reflecting adrenal axis activation. Leptin levels also increased, but did not lead to appetite changes. Testosterone levels did not change but SHBG did decrease, possibly due to increases in insulin that could have down-regulated SHBG. There were also alterations in cortisol levels, with elevated levels in the afternoon and evening. The researchers concluded that short term sleep restriction may lead to an increased risk of type 2 diabetes.
Abstract
BACKGROUND Sleep restriction is associated with development of metabolic ill-health, and hormonal mechanisms may underlie these effects. The aim of this study was to determine the impact of short term sleep restriction on male health, particularly glucose metabolism, by examining adrenocorticotropic hormone (ACTH), cortisol, glucose, insulin, triglycerides, leptin, testosterone, and sex hormone binding globulin (SHBG). METHODOLOGY/PRINCIPAL FINDINGS N = 14 healthy men (aged 27.4±3.8, BMI 23.5±2.9) underwent a laboratory-based sleep restriction protocol consisting of 2 baseline nights of 10 h time in bed (TIB) (B1, B2; 22:00-08:00), followed by 5 nights of 4 h TIB (SR1-SR5; 04:00-08:00) and a recovery night of 10 h TIB (R1; 22:00-08:00). Subjects were allowed to move freely inside the laboratory; no strenuous activity was permitted during the study. Food intake was controlled, with subjects consuming an average 2000 kcal/day. Blood was sampled through an indwelling catheter on B1 and SR5, at 09:00 (fasting) and then every 2 hours from 10:00-20:00. On SR5 relative to B1, glucose (F(1,168) = 25.3, p<0.001) and insulin (F(1,168) = 12.2, p<0.001) were increased, triglycerides (F(1,168) = 7.5, p = 0.007) fell and there was no significant change in fasting homeostatic model assessment (HOMA) determined insulin resistance (F(1,168) = 1.3, p = 0.18). Also, cortisol (F(1,168) = 10.2, p = 0.002) and leptin (F(1,168) = 10.7, p = 0.001) increased, sex hormone binding globulin (F(1,167) = 12.1, p<0.001) fell and there were no significant changes in ACTH (F(1,168) = 0.3, p = 0.59) or total testosterone (F(1,168) = 2.8, p = 0.089). CONCLUSIONS/SIGNIFICANCE Sleep restriction impaired glucose, but improved lipid metabolism. This was associated with an increase in afternoon cortisol, without significant changes in ACTH, suggesting enhanced adrenal reactivity. Increased cortisol and reduced sex hormone binding globulin (SHBG) are both consistent with development of insulin resistance, although hepatic insulin resistance calculated from fasting HOMA did not change significantly. Short term sleep curtailment leads to changes in glucose metabolism and adrenal reactivity, which when experienced repeatedly may increase the risk for type 2 diabetes.
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Sleep restriction for 1 week reduces insulin sensitivity in healthy men.
Buxton, OM, Pavlova, M, Reid, EW, Wang, W, Simonson, DC, Adler, GK
Diabetes. 2010;59(9):2126-33
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Short sleep duration is associated with an increased risk of many chronic diseases including diabetes, however the effects of sleep restriction on insulin sensitivity have not yet been established. The aim of study was to assess the effects of decreased sleep duration on insulin sensitivity in a controlled environment. This 12-day inpatient study included 20 healthy men who were randmoised to receive a wakefulness-promoting drug, modafinil, or placebo during the sleep restriction phase. This study showed that sleep restriction for one week significantly reduces insulin sensitivity. These findings raise concerns about chronic insufficient sleep on the development of metabolic diseases and promote further research into these effects.
Abstract
OBJECTIVE Short sleep duration is associated with impaired glucose tolerance and an increased risk of diabetes. The effects of sleep restriction on insulin sensitivity have not been established. This study tests the hypothesis that decreasing nighttime sleep duration reduces insulin sensitivity and assesses the effects of a drug, modafinil, that increases alertness during wakefulness. RESEARCH DESIGN AND METHODS This 12-day inpatient General Clinical Research Center study included 20 healthy men (age 20-35 years and BMI 20-30 kg/m(2)). Subjects spent 10 h/night in bed for >or=8 nights including three inpatient nights (sleep-replete condition), followed by 5 h/night in bed for 7 nights (sleep-restricted condition). Subjects received 300 mg/day modafinil or placebo during sleep restriction. Diet and activity were controlled. On the last 2 days of each condition, we assessed glucose metabolism by intravenous glucose tolerance test (IVGTT) and euglycemic-hyperinsulinemic clamp. Salivary cortisol, 24-h urinary catecholamines, and neurobehavioral performance were measured. RESULTS IVGTT-derived insulin sensitivity was reduced by (means +/- SD) 20 +/- 24% after sleep restriction (P = 0.001), without significant alterations in the insulin secretory response. Similarly, insulin sensitivity assessed by clamp was reduced by 11 +/- 5.5% (P < 0.04) after sleep restriction. Glucose tolerance and the disposition index were reduced by sleep restriction. These outcomes were not affected by modafinil treatment. Changes in insulin sensitivity did not correlate with changes in salivary cortisol (increase of 51 +/- 8% with sleep restriction, P < 0.02), urinary catecholamines, or slow wave sleep. CONCLUSIONS Sleep restriction (5 h/night) for 1 week significantly reduces insulin sensitivity, raising concerns about effects of chronic insufficient sleep on disease processes associated with insulin resistance.