Abstract
A combined neuroendocrine, metabolic, and chronobiological view can help to better understand the multiple and complex mechanisms involved in obesity development and maintenance, as well as to provide new effective approaches for its control and treatment. Indeed, we have currently updated data on the whole adipogenic process involved in white adipose tissue (WAT) mass expansion, namely due to a mechanism whereby WAT cells become hypertrophic, thus inducing a serious local (WAT) inflammatory condition that in turn, will impair not only the cross-talk between the hypothalamus and the WAT, but also favoring the development of deep and widespread neuroendocrine-metabolic dysfunction. Moreover, we also have revisited the circadian clock genes involved in dysfunctional WAT mass expansion and the mechanisms that may lead to obesity development, including early metabolic dysfunctions, enhanced oxidative stress and distorted energy homeostasis. The epigenetic changes of clock genes driving metabolic disease and obesity development have also been included in this review. Finally, we have also underlined the relevance of metabolic homeostasis regulation by central and peripheral organ clocks, sleep disturbances, nutrients, and feeding time, as key factors in obesity development as well as both, classical and chronotherapeutic approaches for its prevention and treatment.
Introduction
Although obesity is a preventable disease, its prevalence is continuously increasing worldwide [1]; and because it is frequently associated with other cardiovascular risk factors and high mortality, obesity has become an important public health problem and a heavy socioeconomic burden for the overall society [1,2].
Overweight and obesity are defined as abnormal or excessive fat accumulation and though not generally accepted, its diagnosis is still based on an anthropometric concept (body mass index; BMI). In fact, many incongruities weaken the value of BMI as a cornerstone of the current obesity classification system, but the reliance upon this simple tool still goes on [3].
The excessive fat accumulation, either in white adipose tissue (WAT) or other organs, is the consequence of hypertrophy and hyperplasia of white adipocytes in a context of positive energy balance [4]. This balance is controlled mainly at the hypothalamic level by a complex circuitry of orexigenic and anorexigenic signals [5] and by an endogenous clock that sets a circadian rhythm of appetite-satiety, a function highly affected by modern life habits [6].
WAT is currently recognized as an active endocrine organ that synthesizes and releases multiple adipokines that also plays several paracrine and autocrine roles [7]. These adipokines, together with those produced by infiltrating macrophages (cytokines), also exert proinflammatory activity in pathological conditions [7]. Consequently, obesity is the result of a multifactorial combination of genetic background, metabolic, endocrine, inflammatory and circadian dysfunctions, whose long-term maintenance is favored by behavioral disorders [1].
Considering the key role of energy homeostasis for the normal development and maintenance of body functions, its control must be ensured by a complex self-tuned servo-mechanism established between body organs with participation of many hormones as main signals as schematically shown in Figure 1. Indeed, food intake triggers the release of several gut hormones (glucagon like peptide-1 [GLP-1], glucose-dependent insulinotropic polypeptide, cholecystokinin, oxyntomodulin) that inhibit/slow gastric emptying/acid release, strongly modulate endocrine pancreas function (enhance insulin and decrease glucagon secretion) and inhibit brain neuropeptide Y, peptide YY and GLP-1. Moreover, high serum insulin levels will additionally impact on the hypothalamus (satiety effect) and WAT (enhanced leptin [LEP] release), thus summing their activities to the above-mentioned ones to reinforce appetite inhibition. This complex modulator interaction also affects glycemia homeostasis. Alteration in these fine-tuned mechanisms causes serious metabolic diseases, such as obesity and type 2 diabetes. Analyzing how some of these peripheral signals interact with hypothalamic neurons (mainly located at the arcuate nucleus [ARC]) involved in the control of the brain appetite/satiety circuitry, indicates that WAT-derived LEP stimulates the melanocortinergic system and neurons producing strong anorexigenic peptides (proopiomelanocortin and cocaine- and amphetamine-regulated transcript) peptide. Interestingly, insulin shares a similar anorectic effect by acting directly (through its binding to insulin receptor) upon the same neurons. Both signals act in ARC neurons through their binding to their active receptors (the long isoform of LEP receptor [ObRb] and insulin receptor, respectively). As mentioned above, gut-released peptide YY and GLP-1 impact upon ARC neurons together with insulin and LEP, inhibiting orexigenic activities, such as neuropeptide Y- and agouti-related protein-producing neurons.
Interrelationship between signals from the hypothalamus and peripheral tissues involved in maintaining energy homeostasis. A schematic model showing the complex net of neuroendocrine and metabolic signals that the system employs to assure tight control of energy homeostasis. To attain such control, peripheral tissues release different products that settle a feedback system among them as well as with the hypothalamus. ARC, hypothalamic arcuate nucleus; NPY, neuropeptide Y; CART, cocaine- and amphetamine-regulated transcript; ObRb, long isoform of leptin receptor; LEP, leptin; IR, insulin receptor; INS, insulin; MCs, melanocortin system; PYY, peptide YY; GLP-1, glucagon like peptide-1; GRE, glucose regulatory elements; WAT, white adipose tissue; RES, resistin; ADIPOQ, adiponectin; GIP, glucose-dependent insulinotropic polypeptide; CCK, cholecystokinin; OXM, oxyntomodulin (for detailed description see Introduction). Solid and dotted arrows indicate stimulation and inhibition, respectively. Adapted from Gagliardino [153].
Interrelationship between signals from the hypothalamus and peripheral tissues involved in maintaining energy homeostasis. A schematic model showing the complex net of neuroendocrine and metabolic signals that the system employs to assure tight control of energy homeostasis. To attain such control, peripheral tissues release different products that settle a feedback system among them as well as with the hypothalamus. ARC, hypothalamic arcuate nucleus; NPY, neuropeptide Y; CART, cocaine- and amphetamine-regulated transcript; ObRb, long isoform of leptin receptor; LEP, leptin; IR, insulin receptor; INS, insulin; MCs, melanocortin system; PYY, peptide YY; GLP-1, glucagon like peptide-1; GRE, glucose regulatory elements; WAT, white adipose tissue; RES, resistin; ADIPOQ, adiponectin; GIP, glucose-dependent insulinotropic polypeptide; CCK, cholecystokinin; OXM, oxyntomodulin (for detailed description see Introduction). Solid and dotted arrows indicate stimulation and inhibition, respectively. Adapted from Gagliardino [153].
We may also assume that this complex mechanism could be easily altered by environmental factors mainly when they act repeatedly and over a long period of time. In this context, the aim of this review is to briefly analyze the role of 2 of them in the development of obesity: WAT development and its dysfunction associated with impairment of its circadian control. Within this scope, we thereafter propose a potential chronobiological therapeutic approach for its effective prevention, control, and treatment.
Looking for a Dysfunctional Starting Point
Because obesity is tightly related to WAT mass, it is reasonable to identify its origin and function when trying to understand its pathophysiological basis. Accordingly, we will start briefly describing the adipogenic process, its regulation and dysfunction.
Expansion and renewal of the adipocyte pool in WAT depends on the adipogenic process. This process includes: (a) the commitment of mesenchymal stem cells (MSCs) [8] into adipocyte precursor cells (APCs) located within the adipose stromal cell (ASCs) population [9], thus acquiring adipogenic potential and restricting them to adipocyte fate, and (b) a final differentiation of APCs to mature adipocytes (Fig. 2). APCs are similar to bone marrow MSCs [10,11,12] and support vascularization as mural/adventitial cells secreting angiogenic factors [13,14]. APCs have been identified within the adipose stromal cell population based on the expression of mesenchymal markers, such as platelet-derived growth factor receptor-β (PDGFRβ, aka CD140b) and pericyte markers [15,16,17,18].
Adipogenesis. The adipogenic process involves 2 sequential steps: commitment of mesenchymal stem cells (MSCs) into adipose tissue precursor cells (APCs), acquiring the adipogenic potential and restricting them to the adipocyte linage, followed by terminal adipocyte differentiation. In the first step, APCs begin to express CD34, a cell surface antigen that distinguishes between adipogenic and nonadipogenic cell subpopulations. The CD34+ cell subpopulation expresses almost exclusively the transcriptional factor Zfp423, which in turn activates the basal expression of PPAR-2, a key proadipogenic signal that assures APC conversion into adipocytes. The differential expression of both transcriptional factors determines the cell's ability to differentiate into adipocytes upon the action of adipogenic stimulus (competency). Thereafter, and in response to the adipogenic stimuli (mainly endogenous glucocorticoid and insulin), APCs differentiate into mature adipocytes, cells characterized by intracellular lipid storage, adipokine production and insulin responsiveness. CD34, cell surface antigen distinguishing adipogenic from nonadipogenic cells; PPARγ-2, peroxisome proliferator receptor-γ-2; Zfp423, zinc finger protein 423; Pref-1, preadipocyte factor-1; Wnt10b, wingless type MMTV integration site family member 10b; MR, mineralocorticoid receptor; GR, glucocorticoid receptor.
Adipogenesis. The adipogenic process involves 2 sequential steps: commitment of mesenchymal stem cells (MSCs) into adipose tissue precursor cells (APCs), acquiring the adipogenic potential and restricting them to the adipocyte linage, followed by terminal adipocyte differentiation. In the first step, APCs begin to express CD34, a cell surface antigen that distinguishes between adipogenic and nonadipogenic cell subpopulations. The CD34+ cell subpopulation expresses almost exclusively the transcriptional factor Zfp423, which in turn activates the basal expression of PPAR-2, a key proadipogenic signal that assures APC conversion into adipocytes. The differential expression of both transcriptional factors determines the cell's ability to differentiate into adipocytes upon the action of adipogenic stimulus (competency). Thereafter, and in response to the adipogenic stimuli (mainly endogenous glucocorticoid and insulin), APCs differentiate into mature adipocytes, cells characterized by intracellular lipid storage, adipokine production and insulin responsiveness. CD34, cell surface antigen distinguishing adipogenic from nonadipogenic cells; PPARγ-2, peroxisome proliferator receptor-γ-2; Zfp423, zinc finger protein 423; Pref-1, preadipocyte factor-1; Wnt10b, wingless type MMTV integration site family member 10b; MR, mineralocorticoid receptor; GR, glucocorticoid receptor.
APC differentiation is highly modulated by endocrine and metabolic factors such as insulin and glucocorticoid (GC) working either individually or in combination [19]. On the other hand, WAT mass expansion could result from either cell tissue hyperplasia (increased number of normal mature “small-size” adipocytes) or their hypertrophy (increase in the size of dysfunctional adipocytes). Normal adipogenesis (newly generated “small-size” adipocytes), occurs when WAT mass needs to be recovered, for example during/after a long-term period of negative energy balance. In these circumstances, the new adipocytes develop a normal function. On the other hand, in rats with chronic high serum levels of LEP, GC and insulin, their visceral WAT undergoes a marked reduction in the number of compromised APCs, namely white APCs (WAPs), and a significant delay in their capacity to differentiate into mature adipocytes [20]; consequently, the local WAT pad becomes full of dysfunctional-hypertrophic adipocytes [21], a situation reverted by normalization of the high endogenous GC milieu [21].
When WAT mass increases by adipocyte hypertrophy, these large-size adipocytes develop a secretory dysfunction characterized by overproduction (synthesis and release) of adipokines that decrease tissue sensitivity to insulin, promote oxidative stress (OS), and display proinflammatory effects (LEP, resistin, tumor necrosis factor-α, plasminogen activator inhibitor type 1, interleukin-1 [IL-1], IL-6); conversely, they release lower amounts of adiponectin (ADIPOQ; an insulin-sensitizing adipokine) [22].
OS (either local or as part of a general one) also impacts on large-size adipocyte function such as their own insulin sensitivity, thus establishing a vicious circle that perpetuates their dysfunction [23]. The multifactorial adipocyte dysfunction and the participation of macrophages (WAT infiltration) in the whole process result in other tissues' dysfunction that affects the overall homeostasis as summarized in Figure 3. Within this scenario, 3 main dysfunctions play a key pathogenic role: (1) enhanced release of LEP that impairs tissue sensitivity to insulin (insulin resistance [IR]) [24], (2) the prolonged high serum LEP levels that induce down-regulation of LEP receptors (ObRb) at pancreatic β- and α-cell level (as in other tissues as well), thus impairing its negative feedback mechanism on both insulin and glucagon secretions [25,26], and (3) increased release of proinflammatory adipokines (mainly tumor necrosis factor-α, IL-1, and IL-6) that acting on the medial basal hypothalamus, activate the hypothalamo-pituitary-adrenal axis with the consequent increased release of GCs [27,28]. This multifactorial metabolic and endocrine dysfunctions lead to overall insulin and LEP resistance (Fig. 4) as well as to a pro-oxidative and proinflammatory states (Fig. 3) that reinforce WAT and hypothalamic dysfunctions, setting a serious impairment in the energy homeostasis [29,30].
White adipose tissue (WAT) and inflammation: neuroendocrine-metabolic consequences. A combination of genetic background, unhealthy diet, and sedentary lifestyle can induce hypertrophic increase in WAT mass associated with macrophage infiltration, leading to an abnormal pattern of adipokine production/release. Enhanced WAT-derived leptin release, in turn, impairs tissue sensitivity to insulin (insulin resistance, IR). Thereafter, the prolonged hyperleptinemia could induce ObRb downregulation, namely at the pancreatic (β- and α-cell) level, thus impairing its negative feedback mechanism on both insulin and glucagon secretions; moreover, the increased release of proinflammatory signals (TNF, IL-1, IL-6, and C-reactive protein [CRP], among others) will worsen several functions. In fact, overall WAT dysfunction promotes multiple endocrine-metabolic dysfunctions, such as insulin resistance (IR), enhanced reticulum endoplasmic oxidative stress (REOS), enhanced lipolytic activity, cell hypoxia, and apoptosis. These alterations affect multiple organs, namely HPA axis, liver, muscle, endocrine pancreas, and endothelium functions. FFA, free fatty acid; JUNK, Janus kinase; NF-κB, nuclear factor-κB; HGP, hepatic glucose production; NAFLD, nonalcoholic fatty liver disease; NASH, nonalcoholic steatohepatitis; DMT2, diabetes mellitus type 2. Adapted from Cusi [154].
White adipose tissue (WAT) and inflammation: neuroendocrine-metabolic consequences. A combination of genetic background, unhealthy diet, and sedentary lifestyle can induce hypertrophic increase in WAT mass associated with macrophage infiltration, leading to an abnormal pattern of adipokine production/release. Enhanced WAT-derived leptin release, in turn, impairs tissue sensitivity to insulin (insulin resistance, IR). Thereafter, the prolonged hyperleptinemia could induce ObRb downregulation, namely at the pancreatic (β- and α-cell) level, thus impairing its negative feedback mechanism on both insulin and glucagon secretions; moreover, the increased release of proinflammatory signals (TNF, IL-1, IL-6, and C-reactive protein [CRP], among others) will worsen several functions. In fact, overall WAT dysfunction promotes multiple endocrine-metabolic dysfunctions, such as insulin resistance (IR), enhanced reticulum endoplasmic oxidative stress (REOS), enhanced lipolytic activity, cell hypoxia, and apoptosis. These alterations affect multiple organs, namely HPA axis, liver, muscle, endocrine pancreas, and endothelium functions. FFA, free fatty acid; JUNK, Janus kinase; NF-κB, nuclear factor-κB; HGP, hepatic glucose production; NAFLD, nonalcoholic fatty liver disease; NASH, nonalcoholic steatohepatitis; DMT2, diabetes mellitus type 2. Adapted from Cusi [154].
Dysfunction of main endogenous adipogenic signals. Enhanced white adipose tissue (WAT) mass, at the expenses of adipocyte hypertrophy, results in hyperleptinemia that, if established for a long time, could result in a leptin-resistant state. As a result of the lack of the leptin-inhibiting effect, 2 system functions became mainly hyperactive: the pancreatic β-cells and the corticoadrenal cells. Such hyperactivity increases the circulating levels of both insulin and GC, which in due time will perpetuate and aggravate the adipogenic process; these changes lead to a hypertrophic expansion of WAT mass characterized by exacerbated proinflammatory adipokine production and enhanced oxidative stress. INS, insulin; LEP, leptin; GC, glucocorticoid; AC, adrenal cortex; ACTH, adrenocorticotropic hormone; AP, anterior pituitary. The question mark is included because the ACTH inhibitory effect on WAT LEP production has been addressed in 3T3-L1 adipocytes only; see Norman et al. [155].
Dysfunction of main endogenous adipogenic signals. Enhanced white adipose tissue (WAT) mass, at the expenses of adipocyte hypertrophy, results in hyperleptinemia that, if established for a long time, could result in a leptin-resistant state. As a result of the lack of the leptin-inhibiting effect, 2 system functions became mainly hyperactive: the pancreatic β-cells and the corticoadrenal cells. Such hyperactivity increases the circulating levels of both insulin and GC, which in due time will perpetuate and aggravate the adipogenic process; these changes lead to a hypertrophic expansion of WAT mass characterized by exacerbated proinflammatory adipokine production and enhanced oxidative stress. INS, insulin; LEP, leptin; GC, glucocorticoid; AC, adrenal cortex; ACTH, adrenocorticotropic hormone; AP, anterior pituitary. The question mark is included because the ACTH inhibitory effect on WAT LEP production has been addressed in 3T3-L1 adipocytes only; see Norman et al. [155].
Regarding the modulatory effect of metabolism and dietary composition on APC differentiation, it has been shown that 8-week fructose-rich diet (FRD) administration induces several alterations, such as high plasma levels of insulin, LEP and triglyceride associated with increased mass of retroperitoneal adipose tissue (RPAT). Indeed, the RPAT pad has 2 adipocyte populations: one similar to and another larger than the ones identified in the normal (control) group, thus suggesting that this AT pad mass expansion could result from a combination of newly generated adipocytes (adipogenesis) and hypertrophy of the existing ones [22,31,32,33].
As mentioned before, the adipogenic process involves 2 sequential steps: commitment of MSCs into APCs, acquiring adipogenic potential and restricting them to the adipocyte linage, followed by terminal adipocyte differentiation [34]. In the first step, APCs begin to express CD34, a cell surface antigen that distinguishes between adipogenic and nonadipogenic cell subpopulations [35]. This CD34+ cell subpopulation expresses almost exclusively the transcription factor zinc finger protein 423 (Zfp423) [36], which in turn activates the basal expression of PPARγ-2, a key proadipogenic signal that assures APC conversion into adipocytes [37]. The differential expression of both transcription factors determines the competency of APCs, i.e. a cell's capacity to differentiate into adipocytes upon the appropriate action of adipogenic stimuli [34]; these newly generated cells are characterized by intracellular lipid storage, adipokine production, and insulin responsiveness.
In fact, the above-mentioned administration of an FRD for 8-weeks induces an increase in mRNA expression levels of PPARγ-2 and Zfp423, indicating that high APC competency is maintained during this period. This phenomenon might be responsible for the small new adipocyte population observed in these rats, as discussed before. Because FRD intake did not modify APC expression of 2 antiadipogenic factors Pref-1 and Wnt10b, its effect could be mainly ascribed to changes in APC competency.
Altogether, these results demonstrate that long-term FRD intake altered the RPAT APC by enhancing their adipogenic potential. The fact that this fructose-induced enhancing effect can be reproduced in vitro and is blunted by its replacement by glucose in the culture medium strongly suggests that fructose directly and specifically modulates the adipogenic competency [33]. This effect was also demonstrated in rats born from mothers fed with an FRD during pregnancy. At 60 days of age, these rats portray impaired glucose tolerance and high circulating levels of LEP, while their RPAT mass shows an enhanced LEP gene expression and the presence of hypertrophic adipocytes that oversecrete LEP in vitro [38].
Chronic circadian desynchronization induced by repeated changes in the 12-h light-dark cycle twice a week, increases food intake, body weight, and RPAT mass in male F344 rats. Proteomic studies demonstrated that this circadian alteration induces an upregulation of 2-DE protein spots of proteins involved in carbohydrate metabolism and in the citric acid cycle, thus suggesting a positive energy balance status [39]. The simultaneous upregulation of hypothalamic γ-amino butyric acid (GABA) aminotransferase present in these animals, suggests a link between the brain GABA-ergic system and the food intake modulation; furthermore, the upregulation of different metabolic parameters (fatty acid-binding protein 4) and downregulation of 78-kDa glucose-regulated protein in WAT, implies the development of IR. These findings partially reproduced the changes induced by genotype and a high-fat diet, reinforcing the concept that circadian rhythm alteration plays an important role in obesity development and associated homeostatic dysfunction.
Potential Effect of Intervention upon WAP Cells on Obesity Development
Daquinag et al. [40] have shown that targeted WAP cytoablation results in a long-term WAT growth suppression, despite increased caloric intake in a mouse model of dietary-induced obesity. They also showed that WAP depletion results in a compensatory population of beige adipocytes. Consistent with the reported thermogenic capacity of the later tissue, WAP-depleted mice display increased energy expenditure. Thus, targeting white adipocyte progenitors could render an effective strategy to sustained modulation of WAT metabolic activity [40].
Circadian Modulation of Energy Metabolism
The Circadian Clock: Its Molecular Mechanism, Its Components, and Its Role in the Development of Metabolic Dysfunctions
There is clear evidence that energy metabolism is modulated by the circadian clock at both central and local levels. The central pacemaker or circadian clock prepares individuals for predictable events such as turning from day to night, and thereby synchronizing physiological functions to particular daytime periods in order to optimize metabolic efficiency. Other factors contribute to the synchronizing process such as light-dark cycle, food intake, exercise, and sleep. On account of the existence of their synchronized activity, we can envisage the potential use of a “chronotherapeutic approach for obesity,” which we will discuss later in this review.
The central pacemaker is located at the hypothalamic suprachiasmatic nucleus (SCN), though the mammalian circadian system also comprises peripheral oscillators located in almost every cell of the body [41,42]. This multiple individual tissue-specific cellular clock system is based on a small number of core clock genes interlocked by transcriptional and posttranslational feedback loops [41]. The positive drive for the daily clock is constituted by 2 transcription factors encoded by Bmal1 and Clock genes. They form heterodimeric complexes that control the transcription of other clock genes named Period (Per1/Per2/Per3) and Cryptochrome (Cry1/Cry2), which in turn provide the negative feedback signal that shuts down the positive drive (Fig. 5). Any alteration in this accurate mechanism initiates misalignment with multiple metabolic effects.
A master regulatory role of the circadian clock in the metabolic pathways. Circadian clock proteins (CLOCK, BMAL, PERs, CRYs, REV-ERBs) regulate metabolism by interacting with cell energy and redox balance through different mechanisms such as sensing specific metabolites (e.g., NAD, NADP, ATP) and interacting with specific genes in a wide range of metabolic areas: lipid and carbohydrate homeostasis. These mechanisms are both direct and chromatin-mediated, with important interventions of proteins like SIRT (belonging to the deacetylase family).
A master regulatory role of the circadian clock in the metabolic pathways. Circadian clock proteins (CLOCK, BMAL, PERs, CRYs, REV-ERBs) regulate metabolism by interacting with cell energy and redox balance through different mechanisms such as sensing specific metabolites (e.g., NAD, NADP, ATP) and interacting with specific genes in a wide range of metabolic areas: lipid and carbohydrate homeostasis. These mechanisms are both direct and chromatin-mediated, with important interventions of proteins like SIRT (belonging to the deacetylase family).
To support this concept, we will analyze evidence on how metabolism, particularly glucose homeostasis and adipogenesis, is affected when clock members are mutated or even absent due to knockout (KO) technology. The concept that disruption of circadian rhythms enhances the risk of metabolic diseases such as obesity, type 2 diabetes mellitus (T2DM), and the metabolic syndrome arises from the observation of clock member KO genes in mice. Administration of a hypercaloric diet to Clock mutant mice resulted in accumulation of energy and body mass to values double than those recorded in control animals [43]. These mice also have hyperglycemia, hypoinsulinemia [42], hyperphagia, obesity, impaired gluconeogenesis, and lipid homeostasis [43,44]. Mice with Per3 KO alter their body mass and composition and accumulate fat by enhancing adipogenesis [45,46]. Moreover, Bmal1 KO mice have impaired glucose and lipid homeostasis [47] as well as lack of rhythmicity in insulin action and activity patterns that can be restored by the paralogous gene Bmal2. Interestingly, Per3 KO also show impaired lipid metabolism and obesity when fed a high-fat diet [48]. Conversely, constant expression of Per3 inhibited adipogenesis in MSCs [45]. Otherwise, Per2 blocks recruitment of PPARγ to target promoters in genes involved in the control of adipogenesis and insulin sensitivity, while its absence results in enhanced adipocyte differentiation [49]. Furthermore, overall body glucose regulation during the day is organized by the liver peripheral molecular clock [48,49]. Altogether, this evidence demonstrates that circadian disruption leads to IR and obesity, thus lending additional support to the crucial roles played by circadian clock genes in both adipogenesis as well as glucose and lipid homeostasis, particularly in adipose tissue [50]. The fact that half of the nuclear receptors identified in the liver and adipocytes exhibit a 24-h periodicity lends further support to this assumption [51,52].
Circadian regulatory mechanisms utilize both neural and humoral communication to tightly control insulin, LEP, and glucose peripheral levels [53], and rats with hampered CNS function showed abnormalities in glucose metabolism and insulin effect [54,55,56]. Similarly, Clock mutant mice showed impaired glucose utilization and appetite control [42,43,47]. At the clinical level, several studies have also shown that CLOCK variants correlate with BMI [57], weight loss, sleep duration and total plasma cholesterol concentration in obese Caucasian people [58]. CLOCK and CRY1 polymorphisms might be involved in individual susceptibility to abdominal obesity in the Chinese Han population [59]. Variants of the circadian clock-related gene Mntr1b, which encodes pineal hormone melatonin receptor 1B, portrait impaired glucose-induced insulin secretion, abnormal fasting glycemia and a higher risk of developing T2DM [60,61,62,63,64,65] thus conditioning, at least in part, melatonin actions. Additionally, melatonin synthesis and release undergo strong daily oscillations regulated by the master circadian clock in the CNS and by light.
Single nucleotide polymorphisms (SNPs) in the brain-muscle-ARNT-like protein-2 (BMAL2) gene have also been associated with high risk of developing T2DM in obese patients [66]. Cross-sectional studies have reported associations between the CLOCK locus and prevalence of obesity, plasma glucose levels, hypertension, and T2DM. Recently, further associations with cardiovascular disease (CVD) have been found (association between a CLOCK polymorphism and stroke in T2DM), suggesting that core clock genes may significantly contribute to increased CVD risk in T2DM [67]. All these genome-wide association studies in human population support experimental evidence for a genetic link between the circadian clock, overall metabolism, and susceptibility to metabolic disease, particularly obesity.
Circadian Clock Dysfunction and Obesity
Apparently, synchronization of many different metabolic pathways, through gene expression and their downstream activation with feeding time, may represent an adaptive evolution to improve and optimize energy balance. Thus, we will briefly review reported evidence of glucose homeostasis regulation by circadian clocks and how disruption of circadian rhythms drives to pathological states such as obesity, metabolic syndrome, and T2DM [55,56].
The correlation between increased occurrence of obesity and the ubiquity of modern social habits, such as light at night (LAN), unusual meal timing, irregular sleep/wake schedules and traveling between different time zones, all encompassed by a 24 h/7 days lifestyle, strongly suggests that impairment of the circadian system is involved in the etiology of several illnesses. It has been reported that even slight changes in LAN alter meal timing and body mass accumulation in mice [68,69]. Several clinical surveys have also shown increased prevalence of obesity in night-shift workers, showing that artificial lighting may contribute to increased prevalence of metabolic disorders [70,71]. Altogether, this evidence suggests that inappropriate time administration of food may disrupt the normal metabolic profile, leading to a desynchronized state causally linked to obesity development. In this regard, medical students portraying nocturnal life habits showed decreased plasma melatonin and LEP peaks. However, plasma glucose concentration remained high during the night while insulin secretion decreased markedly, thus indicating that nocturnal life impairs insulin response to glucose, likely becoming one of the risk factors associated with modern social habits [72]. Circadian misalignment also alters circulating LEP levels, an effect that may negatively affect appetite and energy balance [73,74,75]. The increased obesity rate recorded in 100,000 women of the Breakthrough Generations Study, associated with increased levels of LAN exposure, supports this assumption [70]. Moreover, data from nurses and midwives showed that they had a higher risk of developing obesity [71]. Thus, both animal models and human data have clearly proved that circadian disruption leads to IR and obesity [50].
On the other hand, genetic modifications causing obesity and diabetes lead to circadian disruption. Genetically obese and diabetic db/db mice, lacking Ob-Rb, are arrhythmic regarding feeding and general activity; they present an extended endogenous period and altered photic integration [76]. The same group has demonstrated that LEP modulates daily blood glucose rhythmicity by modulating food intake [77,78]. Additionally, rats submitted to forced activity during the sleeping phase, showed altered temporal pattern of food intake, loss of glucose rhythmicity and a reversed rhythm of triacylglycerol levels, though CNS activity was intact. Similarly, in night workers the combination of altered work and eating activities, may lead to internal desynchronization by uncoupling metabolic functions from the biological clock which remained fixed to the LD cycle [74,75,79,80]. Furthermore, feeding mice at the wrong time (inactive or sleeping phase), desynchronizes peripheral clocks and causes obesity by inducing hyperphagia, physical inactivity, LEP resistance, hepatic lipid accumulation, and hyperadiposity. Liver and skeletal muscle metabolic rhythms become uncoupled as shown by temporal expression of desynchronized circadian clock genes in the skeletal muscle [81].
It has also been shown that an abnormal metabolic response such as obesity, to a given nutritional challenge, depends on the combination of several genes' action rather than on a single one, and even to a precise localization at a tissue level of such combination. Bmal1 KO mice show different metabolic impairment depending on the tissue affected. Deletion of this allele in adipose tissue (ABKO), as well as its combined deletion in liver and adipose tissue (LABKO), alters feeding behavior and locomotive activity. However, animals with the combination of liver and adipose deletion only develop obesity after exposure to a diabetogenic diet [82]. Deletion of Bmal1 in adult murine β-cells resulted in impaired metabolic adaptation to high fat diet: they display fasting and diurnal hyperglycemia, impaired glucose tolerance, loss of glucose-stimulated insulin secretion and lack of β-cell expansion. This observation points to β-cell circadian clock as a novel regulator of compensatory β-cell expansion in response to an increased insulin demand, induced by administration of an obesogenic diet. Because obesity and IR are risk factors for developing T2DM and even when not every individual exposed to a cafeteria diet will become diabetic, it is important to identify key factors involved in a proper response to defiant lifestyles [83].
At the clinical level, in a recent survey, samples of subcutaneous adipose tissue from 50 overweight subjects were collected before and after 8 weeks of administration of a hypocaloric diet (800 kcal/day plus 200 g vegetables/day). The expression of core clock genes (assayed by quantitative real time PCR), Per2 and NR1D1, was increased after the weight loss, and their levels correlated with this decrease and the expression of several genes involved in fat metabolism (FASN, LPL, PPARG, PGC1A, ADIPOQ), energy metabolism (SIRT1), and inflammation. Thus, clock gene expression in human subcutaneous adipose tissue is regulated by body weight changes and associated with BMI, serum cholesterol levels and the expression of metabolic and inflammatory pathways involved in adapting adipose tissue metabolism to changes in energy intake [84].
Because the circadian pattern of adipokines is blunted in obese subjects, another study tested the possibility that bariatric surgery could restore it. Surgical intervention rapidly decreased 24-h LEP levels but, after 3 months, it did not recover the physiological nocturnal rise of LEP levels present in lean subjects [85]. On the other hand, stimulated lipolysis by activated natriuretic peptide receptors undergoes circadian regulation [86], as well as adiponectin expression through the circadian expression of its transcription factor PPARγ and its coactivator PGC1α [87].
Circadian Regulation of Epigenetic Changes in Obesity and Other Metabolic Diseases
A link between epigenetic changes (DNA acetylation/methylation) of the circadian clock system and metabolism has already been described. In this regard, it has been shown that the molecular clock regulates the rhythm of NAD (nicotinamide adenine dinucleotide 1), an important cofactor of the histone deacetylase sirtuin (silent mating type information regulation 2 homolog) 1 (SIRT1). In this way, the clock controls SIRT1 effects on other genes: through protein acetylation/deacetylation and chromatin modification, it regulates oscillating expression of metabolic genes. Particularly in hepatocytes, the Rev-erba rhythm orchestrates the binding of histone deacetylase 3 (HDAC3), causing chromatin modification that coordinates the expression of lipid metabolic pattern. Rhythmicity disruption of DNA binding and HDAC3 deacetylation leads to liver steatosis [88,89,90,91,92,93]. Further association between the methylation status of clock genes (CLOCK, Bmal1, and Per2) with obesity, metabolic syndrome, and weight loss has been also reported. Interestingly, this methylation status could be used as a biomarker to predict weight loss success [94].
A recent study has demonstrated that a weight loss intervention based on an energy-controlled Mediterranean diet, may influence the methylation levels of 3 clock genes, Bmal1, CLOCK, and NR1D1, being an association between the methylation levels and the diet-induced serum lipid profile (total cholesterol and low-density lipoprotein cholesterol). Further, significant and positive correlations were found between changes in the methylation levels in the CpG 5-9 region of Bmal1 due to the intervention and changes in serum lipids [95].
Circadian Regulation of OS, Energy State, and Metabolic Functions
We have already mentioned that the extra adipose tissue found in the obesity condition provides excess of adipokines that increase both inflammation and oxidative damage of proteins and lipids. We have to stress that most enzymes responsible for the antioxidant defense are under circadian control, and when their expression pattern is impaired by a high-fat diet (HFD), this effect may be prevented by melatonin administration [96]. This control includes the regulatory role of redox coenzymes (NAD(P)+/NAD(P)H, GSH/GSSG), reactive oxygen species (superoxide anion, hydrogen peroxide), and antioxidants (melatonin) [97].
Sleep and Obesity
Traditional lifestyle factors such as unbalanced diet and physical inactivity are not the only players involved in the dramatic rise in the incidence and prevalence of T2DM. In this regard, Arora and Taheri [98] have reviewed the evidence supporting sleep as a new important lifestyle abnormal behavior.
In a recent study, performed with 593 patients with a recent diagnosis of T2DM, sleep debt resulted in long-term metabolic disruption, which may promote the progression of the disease. This was concluded after examination of obesity status (by BMI), central adiposity (by waist circumference), and IR (fasting blood samples) and sleep debt assessed by 7-day sleep diaries (average weekend sleep duration minus average weekday sleep duration). The examination of cross-sectional and prospective associations between sleep debt and adiposity measures, as well as HOMA-IR in T2DM at baseline, 6 months, and 12 months after lifestyle intervention, showed marked changes: for every 30 min of weekday sleep debt, the risk of obesity and IR at 12 months increased by 18 and 41%, respectively. At baseline, these people compared to those without weekday sleep debt, were 72% more likely to become obese, while 6 months later, the sleep debt was significantly associated with obesity and IR after adjustment (OR = 1.90 and 2.07, respectively). A further increase was observed at 12 months of sleep debt with OR of 2.10 and 3.16, for obesity and IR, respectively [99].
It has also been described that sleep quality rather than sleep duration plays an important role in IR in these newly diagnosed T2DM patients. Because the average number of night awakenings was positively correlated with BMI and negatively associated with logged HOMA2-IR [100], BMI may mediate the relationship between indicators of sleep quality and IR. These findings indicate the need for improving sleep quality to prevent the development of obesity and IR as well as its progression to T2DM. The association between the genetic variants of the clock gene, obesity, and sleep duration has helped to identify at risk CLOCK genotypes, a fact that may help to identify individuals who are more susceptible to overeating and gaining weight when experiencing sleep deprivation [101].
Chrononutrition
This term refers to a new field linking nutrition and circadian regulation. It refers not only to the food as a modulator of circadian clocks but also to the time at which those meals are eaten. As previously mentioned, feeding time sets the phase of peripheral circadian clocks. Time-restricted feeding for only a week impairs the phase of the clock and clock-controlled gene rhythmic expression in peripheral tissues, uncoupling them from the central pacemaker in the SCN [102]. The liver can easily adapt to a new feeding time in about 3 days, and the balance between food intake and starvation periods sets the phase. Eating at night shortens the starvation period causing phase alterations in peripheral clocks [103,104]. A well-balanced diet may induce a rapid phase shift in the liver clock: a combination of carbohydrate and protein is effective, while protein, sugar, or oil is not [103,105]. An intraperitoneal injection of glucose combined with amino acids can reset the liver clock by modulating the expression levels of clock core genes [106]. Therefore, nutrients containing glucose and amino acids can induce rapid changes in the expression of clock genes, especially Per2 and Rev-erbα. Other common diet components such as caffeine [107], salt [108], and resveratrol [109], may alter circadian rhythms at the molecular level. Finally, the effects of a high-fat diet on the circadian system are very important for the general population, and also researchers, because globalization has spread out western or cafeteria diet worldwide. In fact, feeding mice with a high-fat diet disrupts feeding behavior and molecular circadian rhythms in the liver and adipose tissue, indicating that this diet also affects the central clock [110,111,112,113]. However, feeding mice with HFD in a time-restricted fashion prevents obesity even without reducing caloric content [69,114]. This may indicate a restoring effect over phase amplitude of clocks. Additionally, mice gained more weight when fed with a normal or a high-fat diet during resting time (day), than during activity period (night). Similar results were obtained feeding rats with a butter based high-fat diet during the light phase [115], resembling the night eating syndrome in humans. Further, several human studies have demonstrated that to prevent obesity and its undesirable consequences, it is advisable to make bigger breakfasts and smaller dinners and also early mealtimes in general [116].
Obesity Prevention and Treatment
Traditional Approach
Because obesity represents a heavy burden for the health budget, the community and, the general population, the big challenge is to increase awareness, resources, and tools to identify pathogenic factors and design comprehensive and individualized treatment strategies [117,118]. Consequently, current recommendations for obesity management provide a general framework for appropriate, safe, and effective implementation of available treatment options [119,120,121] (Fig. 6). Across the recommendations, comprehensive lifestyle management, including meal planning, exercise, and behavioral intervention, is the cornerstone of all weight loss treatment appropriate for all obese people. The success of this approach depends on 3 key components: reduced calorie intake, increased physical activity, and behavioral intervention. However, despite their best attempts, many people cannot achieve successful long-term weight loss, even with extremely effective lifestyle intervention programs such as those used in the DPP and Look AHEAD trials [122]. Pharmacotherapy is an appropriate option for people with BMI ≥27 and complications or with BMI ≥30, a recommendation consistent with label indications for approved agents [123]. Regardless, drug therapy and more intensive interventions may be associated with lifestyle management. In general, any pharmacotherapy approved for long-term obesity management produced an average weight loss of 5-15% over 1 year when associated with intensive, comprehensive lifestyle intervention. Their use, however, has been associated with some adverse effects which have added specific warnings and precautions regarding their safe and effective use [117,123]. Therefore, these therapies might be reserved for people at greater health risk due to obesity-associated complications and for those who failed to achieve weight loss despite tight adherence to diet and physical activity. Although a comprehensive discussion on bariatric surgery is beyond the scope of our review, we need to mention that it might become an appropriate treatment option for some patients. Commonly used bariatric procedures include gastric banding, Roux-en-Y gastric bypass, and sleeve gastrectomy [124,125,126,127,128]. On average, weight loss with bariatric surgery is greater than with nonsurgical interventions, around 15-35% depending on the procedure [120,129,130,131,132]. Although bariatric surgery may result in greater weight loss than other obesity interventions, it is an invasive procedure that requires important long-term commitment and follow-up by patients and health-care teams. Consequently, current treatment recommendations reserve bariatric surgery for people with BMI ≥40 or ≥35 with obesity-associated complications [120,126,127,128,133,134,135]. Those who are interested in further updating their knowledge on current alternatives for obesity treatment will find a recent review to be a great help [121,136].
Algorithm for available interventions for different obese phenotypes.Traditional approaches to lose weight and its prescription sequence (including bariatric surgery) are represented in the first 3 columns of the figure. They also include specific indications. On the other hand, chronotherapeutic strategy (last column) and its components offer a new approach with potential great success rate and few side effects. BMI, body mass index.
Algorithm for available interventions for different obese phenotypes.Traditional approaches to lose weight and its prescription sequence (including bariatric surgery) are represented in the first 3 columns of the figure. They also include specific indications. On the other hand, chronotherapeutic strategy (last column) and its components offer a new approach with potential great success rate and few side effects. BMI, body mass index.
A Chronobiological Approach to Obesity Treatment
As mentioned before, environmental factors or stressors of the so-called contemporary “24/7” societies have pronounced effects on metabolism producing circadian clock disruption [137,138,139]. Furthermore, people whose work involves irregular time schedules and forced exposure to bright LAN (night/shift workers) show significant disruptions in sleep architecture, and increased prevalence of obesity. These lines of evidence indicate that the system fails to adjust properly to environmental and/or stressor changes disrupting overall metabolic homeostasis. In time, this disruption could contribute to the increasing worldwide prevalence of obesity/T2DM. Thus, and from the point of view of public health, it might be important to implement active awareness campaigns on the importance of appropriate timing for food intake, daytime activity, exposure to sunlight and proper sleep. In this context, melatonin is an interesting chronotherapeutic option (Fig. 6) which can reset the phase and amplitude of circadian rhythms [140,141,142]. Animal models of obesity showed that melatonin also possesses cytoprotective properties which may prevent undesirable effects [143,144] such as inflammation process and others [96,145]. On the other hand, several controlled trials have shown that melatonin administration is useful for treating metabolic and cardiovascular comorbidities [146,147,148,149,150]. As already mentioned, at an early stage, nonpharmacological approaches are highly recommended, while drug treatment may be used in patients refractory to those approaches. Melatonin has limited toxicity effects and a stronger safety profile than many other pharmaceutical agents [151]. In fact, very high melatonin doses (300 mg/day) were administered safely and well tolerated for up to 2 years in patients with lateral amyotrophic sclerosis [152]. Consequently, melatonin administration in combination with strategically timely administration of light therapy and appropriate food intake appears to be justified for normalizing melatonin amplitude and synchronizing endogenous circadian rhythms in obesity. Its administration time is critical though: by strengthening of circadian clock function with bright light in the morning and melatonin before bed time, plus tight control of glucose/lipid homeostasis with proper timing of food intake (peripheral clock entraining); this combined regime would provide an ideal treatment for restoration of impaired circadian rhythms, representing a cutting-edge nonpharmaceutical chronotherapeutic strategy for the treatment of obese patients.
Conclusions and Remarks
A neuroendocrine, metabolic, and circadian view of obesity can help to understand the multiple and complex mechanisms involved in its development and maintenance, as well as to provide new effective approaches for its control and treatment. In this regard, chronotherapy may be a promising approach. Although it is still difficult to precisely identify the initial impaired mechanism that triggers the development of the obese phenotype, it is clear that once established, it greatly contributes to its perpetuation. Until we can identify this mechanism, the awareness of the population regarding the importance of appropriate timing for food intake, daytime activity, exposure to sunlight, and proper sleep time period represents an effective obesity prevention strategy.
Acknowledgements
Authors wish to thank Mrs. Susan H. Rogers and Ms. Rebecca Doyle for their careful English (grammar and style) correction of the manuscript. This research was supported by a grant from Fondation pour la Recherche en Endocrinologie, Diabetologie et Metabolisme (FPREDM 052015 to E.S.). E.S.P., E.S. and J.J.G. are members of the Research Career from CONICET (Argentina).
Disclosure Statement
All authors declare no conflict of interest.
References
All authors contributed equally to the design, draft, and revision of this review.