Short sleep duration and obesity: mechanisms and future perspectives

A reduction of sleep time has become common over the last century, and growing evidence from both epidemiological and laboratory-based studies suggests sleep curtailment is a new risk factor for the development of obesity. On this basis, the present review examines the role of sleep curtailment in the metabolic and endocrine alterations, including decreased glucose tolerance and insulin sensitivity, increased evening concentrations of cortisol, increased levels of ghrelin, decreased levels of leptin and increased hunger and appetite. It will be discussed how sleep restriction may lead to increase in food intake and result in greater fatigue, which may favour decreased energy expenditure. Altogether, evidences point to a possible role of decreased sleep duration in the current epidemic of obesity and therefore present literature highlights the importance of getting enough good sleep for metabolic health. Many aspects still need to be clarified and intervention studies also need to be conducted. Copyright ? 2012 John Wiley & Sons, Ltd.     

Interactions among sleep disordered breathing,obesity, and sleep duration

Sleep and Biological Rhythms -     

After effects of noise-induced sleep disturbances on inhibitory functions

The study focuses on possible after effects of noise-induced sleep disturbances on inhibitory brain processes reflecting in performance changes and alternations of inhibition-related components of event-related potentials (ERPs). Following a quiet night and three nights, in which railway noise was presented with different levels, twelve women and ten men (19-28 years) performed a visual Go/Nogo task that contained stimuli either compatible or incompatible with a response. Noise-induced sleep disturbances are highly evident in worsening of subjective sleep quality but did not show up in significant changes of reaction time and error rate. A smaller N2 amplitude and longer latency to incompatible than to compatible stimuli as well as an unspecific attenuation of N2 amplitude under Noise were found. The amplitude of the fronto-central P3 was reduced under Noise compared to baseline only in Nogo trials. The amplitude of the parietal P3 in Go trials was smaller to incompatible than to compatible stimuli but was not affected by Noise. Disturbed sleep was associated with a decreased blink rate during task performance. The results suggest that physiological costs to maintain performance are increased after noisy nights. Decisional processes underlying overt responses (Go-P3) are less vulnerable to noise-disturbed sleep than those related to inhibition (Nogo-N2, NoGo-P3). The deficits may have been compensated by increased on-task concentration and thereby did not become apparent in the performance data. Inhibition-related ERPs may be more sensitive indicators of moderate sleep disturbances caused by noise than performance measures.     

The impact of insomnia and sleep disturbances on depression and suicidality.

Previous research has demonstrated an association between suicidality and sleep, suggesting that sleep disturbances may exacerbate mood dysregulation in participants suffering from mood disorders. The purpose of this study was to investigate the impact of sleep disturbances and insomnia on depression and suicidality in a nontreatment seeking sample of college students. Results indicated that insomnia and nightmares were significant predictors of symptoms of depression, while only nightmares significantly predicted suicidal ideation. Further analysis indicated that participants with elevated scores on insomnia, nightmares, or both experienced differing levels of depression and suicidal ideation. Future directions and treatment implications are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A whole-genome scan for obstructive sleep apnea and obesity

Obstructive sleep apnea (OSA) is a common, chronic, complex disease associated with serious cardiovascular and neuropsychological sequelae and with substantial social and economic costs. Along with male gender, obesity is the most characteristic feature of OSA in adults. To identify susceptibility loci for OSA, we undertook a 9-cM genome scan in 66 white pedigrees (n=349 subjects) ascertained on the basis of either an affected individual with laboratory-confirmed OSA or a proband who was a neighborhood control individual. Multipoint variance-component linkage analysis was performed for the OSA-associated quantitative phenotypes apnea-hypopnea index (AHI) and body mass index (BMI). Candidate regions on chromosomes 1p (LOD score 1.39), 2p (LOD score 1.64), 12p (LOD score 1.43), and 19p (LOD score 1.40) gave the most evidence for linkage to AHI. BMI was also linked to multiple regions, most significantly to markers on chromosomes 2p (LOD score 3.08), 7p (LOD score 2.53), and 12p (LOD score 3.41). Extended modeling indicated that the evidence for linkage to AHI was effectively removed after adjustment for BMI, with the exception of the candidate regions on chromosomes 2p (adjusted LOD score 1.33) and 19p (adjusted LOD score 1.45). After adjustment for AHI, the primary linkages to BMI remained suggestive but were roughly halved. Our results suggest that there are both shared and unshared genetic factors underlying susceptibility to OSA and obesity and that the interrelationship of OSA and obesity in white individuals may be partially explained by a common causal pathway involving one or more genes regulating both AHI and BMI levels.     

Disrupted chronobiology of sleep and cytoprotection in obesity: possible therapeutic value of melatonin

From a physiological perspective the sleep-wake cycle can be envisioned as a sequence of three physiological states (wakefulness, non-rapid eye movement, NREM, sleep and REM sleep) which are defined by a particular neuroendocrine-immune profile regulating the metabolic balance, body weight and inflammatory responses. Sleep deprivation and circadian disruption in contemporary "24/7 Society" lead to the predominance of pro-orexic and proinflammatory mechanisms that contribute to a pandemic metabolic syndrome (MS) including obesity, diabetes and atherosclerotic disease. Thus, a successful management of MS may require a drug that besides antagonizing the trigger factors of MS could also correct a disturbed sleep-wake rhythm. This review deals with the analysis of the therapeutic validity of melatonin in MS. Melatonin is an effective chronobiotic agent changing the phase and amplitude of the sleep/wake rhythm and having cytoprotective and immunomodulatory properties useful to prevent a number of MS sequels. Several studies support that melatonin can prevent hyperadiposity in animal models of obesity. Melatonin at a low dose (2-5 mg/day) has been used for improving sleep in patients with insomnia and circadian rhythm sleep disorders. More recently, attention has been focused on the development of potent melatonin analogs with prolonged effects (ramelteon, agomelatine, tasimelteon, TK 301). In clinical trials these analogs were employed in doses considerably higher than those usually employed for melatonin. In view that the relative potencies of the analogs are higher than that of the natural compound, clinical trials employing melatonin doses in the range of 50-100 mg/day are needed to assess its therapeutic value in MS.     

EEG and sleep disturbances during dives at 450msw in helium-nitrogen-oxygen mixture

Rostain, J. C., M. C. Gardette-Chauffour, and R. Naquet. EEG and sleep disturbances during dives at450 msw in helium-nitrogen-oxygen mixture. J. Appl.Physiol. 83(2): 575-582, 1997.To study the effects of nitrogen addition to the breathing mixture on sleep disturbances at pressure, two dives were performed in whichhelium-nitrogen-oxygen mixture was used up to 450 m sea water (msw). Intotal, sleep of 12 professional divers was analyzed (i.e., 184 nightrecords). Sleep was disrupted by compression and by stay at 450 msw: we observed an increase in awake periods and in sleep stages I and II anda decrease in stages III and IV and in rapid-eye-movement sleepperiods. These changes, which were more intense at thebeginning of the stay, began to decrease from the seventh day of thestay, but the return to control values was recorded only during the decompression at depths below 200 msw. These changes were equivalent tothose recorded in other experiments with helium-oxygen mixture in thesame range of depths and were independent of the intensity of changesrecorded in electroencephalographic activities in awake subjects.

     

Universal oligonucleotide microarray for sub-typing of Influenza A virus

A universal microchip was developed for genotyping Influenza A viruses. It contains two sets of oligonucleotide probes allowing viruses to be classified by the subtypes of hemagglutinin (H1-H13, H15, H16) and neuraminidase (N1-N9). Additional sets of probes are used to detect H1N1 swine influenza viruses. Selection of probes was done in two steps. Initially, amino acid sequences specific to each subtype were identified, and then the most specific and representative oligonucleotide probes were selected. Overall, between 19 and 24 probes were used to identify each subtype of hemagglutinin (HA) and neuraminidase (NA). Genotyping included preparation of fluorescently labeled PCR amplicons of influenza virus cDNA and their hybridization to microarrays of specific oligonucleotide probes. Out of 40 samples tested, 36 unambiguously identified HA and NA subtypes of Influenza A virus.     

Short sleep is associated with obesity among truck drivers

Recent studies suggest that short-sleep duration is independently associated with obesity in the general population. The population of truck drivers is of particular interest, because they frequently work irregular shifts that in turn are associated with short-sleep duration. In addition, truck drivers have a high prevalence of sedentary habits, poor diet, and obesity. The present study aimed at verifying the association between sleep patterns and factors associated with obesity in this population. The study sample consisted in 4,878 truck drivers who participated in a campaign promoted by a highway company in the State of S?o Paulo, Brazil. This campaign offered highway truck drivers a medical and laboratorial evaluation. The truck drivers completed a questionnaire concerning demographic data, sleep duration, consumption of medications, and medical problems, such as diabetes, cardiopathy, and hypertension; as well as the Berlin questionnaire, which is able to discriminate low and high risk for obstructive sleep apnea. Blood samples were collected to measure glucose and cholesterol levels. Also, body weight and height were registered to calculate the body mass index (BMI). The mean age (+/-SD) of the truck drivers studied was 40+/-10 years. Out of the truck drivers analyzed, 28.3% (n = 1,379) had a BMI > or =30.0 Kg/m2 (obesity). Among the 4,878 drivers included in the study, 1,199 (24.6%) were on medications and 334 (6.8%) were diabetic. Drivers (26.9%) with the greater BMI had a short sleep length. The independent factors associated with obesity were sleep duration <8 h/day (OR = 1.24), age >40 years (OR = 1.20), glucose levels >200 (OR = 2.02), cholesterol levels >240 (OR = 1.57), snoring (OR = 1.74), and hypertension (OR = 2.14). Smoking was not associated with obesity (OR = 0.69), and diabetes was considered a control variable. In conclusion, this study supports the hypothesis that short sleep duration as well as age >40 years are independently associated with obesity. This particular combination (short-sleep duration and obesity) is independently associated with several healthcare problems, including high levels of cholesterol, glucose, snoring, and hypertension. However, due to the cross-sectional nature of this study, no cause-effect relationship can be drawn from these results.     

Shared genetic risk factors for obstructive sleep apnea and obesity.

Both obesity and obstructive sleep apnea (OSA) are complex disorders with multiple risk factors, which interact in a complicated fashion to determine the overall phenotype. In addition to environmental risk factors, each disorder has a strong genetic basis that is likely due to the summation of small to moderate effects from a large number of genetic loci. Obesity is a strong risk factor for sleep apnea, and there are some data to suggest sleep apnea may influence obesity. It is therefore not surprising that many susceptibility genes for obesity and OSA should be shared. Current research suggests that approximately half of the genetic variance in the apnea hypopnea index is shared with obesity phenotypes. Genetic polymorphisms that increase weight will also be risk factors for apnea. In addition, given the interrelated pathways regulating both weight and other intermediate phenotypes for sleep apnea such as ventilatory control, upper airway muscle function, and sleep characteristics, it is likely that there are genes with pleiotropic effects independently impacting obesity and OSA traits. Other genetic loci likely interact with obesity to influence development of OSA in a gene-by-environment type of effect. Conversely, environmental stressors such as intermittent hypoxia and sleep fragmentation produced by OSA may interact with obesity susceptibility genes to modulate the importance that these loci have on defining obesity-related traits.     

Methods available for the sub-typing of Escherichia coli O157

The epidemiological investigation of Escherichia coli O157 is complicated by the lack of heterogeneity between strains responsible for the majority of cases of infection. As a consequence it is difficult to reliably cluster together an outbreak strain and differentiate it from other sporadically occurring isolates. The methods available for the sub-typing of E. coli O157 vary in their speed, technical complexity, cost and ability to discriminate reliably between strains, with many of the recently developed methods targeting the genome to provide differentiation. No single typing method is individually superior, and ideally a combination of techniques should be employed depending on the level of discrimination required and time or resources available. The aim of this review is to consider the relative merits of the available typing methodologies with particular emphasis on those which may find application in a diagnostic laboratory. This revised version was published online in November 2006 with corrections to the Cover Date.     

Circadian gene methylation profiles are associated with obesity,metabolic disturbances and carbohydrate intake

The circadian clock regulates the daily rhythms of several physiological and behavioral processes. Disruptions in clock genes have been associated with obesity and related comorbidities. This study aimed to analyze the association of DNA methylation signatures at circadian rhythm pathway genes with body mass index (BMI), metabolic profiles and dietary intakes. DNA methylation profiling was determined by microarray in white blood cells from 474 adults from the Methyl Epigenome Network Association (MENA) project. Kyoto Encyclopedia of Genes and Genomes database was used to identify the genes integrating the circadian rhythm pathway. Network enrichment analyses were performed with the PathDIP platform. Associations between circadian methylation patterns with anthropometric measurements, the metabolic profile, clinical data and dietary intakes were analyzed. DNA methylation patterns of nine CpG sites at six circadian rhythm pathway genes were strongly correlated with BMI (false discovery rates <0.0001). These CpGs encompassed cg09578018 (RORA), cg20406576 (PRKAG2), cg10059324 (PER3), cg01180628 (BHLHE40), cg23871860 (FBXL3), cg16964728 (RORA), cg14129040 (CREB1), cg07012178 (PRKAG2) and cg24061580 (PRKAG2). Interestingly, network enrichment analyses revealed that the six BMI-associated genes statistically contributed to the regulation of the circadian rhythm pathway (p = 1.9E-10). In addition, methylation signatures at cg09578018 (RORA), cg24061580 (PRKAG2), cg01180628 (BHLHE40) and cg10059324 (PER3) also correlated with insulin resistance (p < 0.0001) and mean arterial blood pressure (p < 0.0001). Furthermore, relevant correlations (p < 0.05) between methylation at cg09578018 (RORA) and cg01180628 (BHLHE40) with total energy and carbohydrate intakes were found. This investigation revealed potential associations of DNA methylation profiles at circadian genes with obesity, metabolic disturbances and carbohydrate intake, with potential impact on weight homeostasis.     

Field homology: a meaningful definition

Field homology refers to populations of cells that derive from evolutionarily conserved regions of embryos but are distributed across sets of adult morphological structures that cannot be placed in one-to-one correspondance. The concept of field homology has proven especially attractive to comparative neurologists because it allows them to deal with the fact that sets of nuclei or nuclear subdivisions often cannot be compared on a one-to-one basis across phyletic groups. However, the concept of field homology has recently come under criticism. It has been argued that field homology is theoretically impossible because it requires sequences of developmental stages to be both evolutionarily conserved and evolutionarily modified. It has also been argued that field homology allows overly vague comparisons of adult morphological structures, fails to account for homologous structures that derive from non-homologous embryonic sources, and establishes overly rigid links between embryonic and adult morphology. All of these criticisms may be adequately addressed by explaining field homology in terms of differentiation. The present paper explains field homology in terms of differentiation using the amniote dorsal thalamus to illustrate major points. It is concluded that field homology is a meaningful concept when defined in terms of differentiation, applied to appropriate cases, and properly limited in its comparisons of adult structures.