Literature DB >> 23801717

A novel link between circadian clocks and adipose tissue energy metabolism.

Jun Yoshino1, Samuel Klein.   

Abstract

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Year:  2013        PMID: 23801717      PMCID: PMC3712037          DOI: 10.2337/db13-0457

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


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Many behaviors and physiological processes are influenced by internal recurrent daily rhythms, which likely represent an adaptation to the Earth’s rotation around the Sun and the recurrent 24-h light-dark cycles in the external environment. These circadian rhythms are an important regulator of many key biological processes that influence cellular metabolic pathways and organ function (1,2). The results from a series of studies have demonstrated the importance of normal circadian action for maintaining health in people and the disruption of circadian rhythm, which can have adverse effects on metabolic function. For example, experimentally induced sleep restriction and/or circadian misalignment, generated by inducing recurrent 28-h sleep-wake cycles, decrease insulin sensitivity and glucose tolerance (3–6). Data from epidemiological studies suggest that long-term alteration in sleep pattern increases the risk of obesity and metabolic diseases. The prevalence of obesity, hypertension, hypertriglyceridemia, and the metabolic syndrome are greater in shift workers than day workers, and short sleep duration is associated with an increased risk of obesity and diabetes (7,8). Circadian rhythms are generated by a transcriptional autoregulatory feedback loop that involves core clock genes. CLOCK (circadian locomotor output cycles protein kaput) and BMAL1 (brain and muscle ARNT-like 1) proteins form a heterodimer complex that binds to E-boxes, which drive the transcription of Period (PER1, 2, and 3) and Cryptochrome (CRY1 and 2), which in turn produce a negative feedback loop by suppressing CLOCK:BMAL1-mediated transcriptional activity (1,2). In mammals, neurons in the hypothalamic suprachiasmatic nucleus act as a master pacemaker and synchronize the daily oscillations in peripheral tissues throughout the body (1,9). Data from studies conducted in rodent models show that circadian clock genes function both centrally in the suprachiasmatic nucleus and peripherally in key metabolic organs, including the liver, skeletal muscle, pancreatic islets, and adipose tissue (1,2) (Fig. 1). Clock genes are involved in regulating glucose metabolism in the liver. Gluconeogenesis is impaired in both ClockΔ19 mutant and Bmal1 knockout (KO) mice (10), and hepatic glucose export is also dysregulated in liver-specific Bmal1 KO mice (11). In contrast, CRY1 inhibits fasting-induced gluconeogenic enzyme expression in the liver, so overexpression of CRY1 improves glucose tolerance and hepatic insulin sensitivity in diabetic mice (12). In skeletal muscle, CLOCK and BMAL1 are essential for the maintenance of normal mitochondrial biogenesis and respiratory function (13). In pancreatic islets, CLOCK and BMAL1 help regulate glucose-stimulated insulin secretion, and both ClockΔ19 mutant and pancreas-specific Bmal1 KO mice have impaired glucose tolerance because of β-cell dysfunction (14). In adipose tissue, BMAL1 and PER2 regulate adipocyte differentiation, de novo lipogenesis, and fatty acid oxidation (15,16).
FIG. 1.

Interactive regulation of food intake and metabolic function by circadian clock genes. Central and peripheral clocks interact with each other to regulate food intake and specific metabolic pathways in key organ systems (1,2,9). Disruption of central or peripheral circadian rhythms can cause an increase in food intake and obesity, which in turn can affect central and peripheral circadian rhythm activity and directly impair metabolic function. Individual organs have their own clocks that directly affect metabolic pathways. The study by Shostak et al. (17) in this issue of Diabetes has identified a new function of clock genes in the regulation of lipolytic activity in white adipose tissue.

Interactive regulation of food intake and metabolic function by circadian clock genes. Central and peripheral clocks interact with each other to regulate food intake and specific metabolic pathways in key organ systems (1,2,9). Disruption of central or peripheral circadian rhythms can cause an increase in food intake and obesity, which in turn can affect central and peripheral circadian rhythm activity and directly impair metabolic function. Individual organs have their own clocks that directly affect metabolic pathways. The study by Shostak et al. (17) in this issue of Diabetes has identified a new function of clock genes in the regulation of lipolytic activity in white adipose tissue. In this issue of Diabetes, Shostak et al. (17) present findings that demonstrate a new and important function of clock genes in regulating lipolytic activity in white adipose tissue. The investigators conducted a series of elegant experiments in wild-type (WT) mice and genetic mouse models (ClockΔ19 mutant, Bmal1 KO, and Per2::Luciferase knock-in mice) that demonstrate 1) 24-h serum free fatty acids (FFAs) and glycerol concentrations, which provide an index of adipose tissue lipolytic activity, are lower in WT than ClockΔ19 mutant and Bmal1 KO mice; 2) serum FFAs and glycerol concentrations and lipolytic activity in fat pad explants follow a circadian pattern in WT mice, which is abolished in ClockΔ19 mutant and Bmal1 KO mice; 3) adipose tissue obtained from different depots display an endogenous and sustained circadian rhythm manifested as autonomous bioluminescent rhythm in Per2::Luciferase knock-in mice in fad pad explants obtained from epididymal, perirenal, peritoneal, subcutaneous white adipose tissue, and intrascapular brown adipose tissue; 4) gene expression of the major proteins that hydrolyze adipose tissue triglycerides, adipose triglyceride lipase (Atgl), and hormone-sensitive lipase (Hsl), exhibit circadian variations in WT mice, which are abolished in ClockΔ19 mutant and Bmal1 KO mice; 5) CLOCK/BMAL1 regulate Atgl and Hsl transcription in adipose tissue by binding to the E-boxes in the Atgl and Hsl genes; and 7) the normal increase in adipose tissue lipolytic activity that occurs in response to food restriction is blunted in ClockΔ19 mutant mice, so these animals rely much more on liver glycogen than do WT mice as an energy source during fasting. These results demonstrate that adipose tissue clock genes regulate the hydrolysis of adipose tissue triglycerides and provide a rhythmic release of FFAs and glycerol from adipocytes. Moreover, this circadian function has important physiological consequences because its disruption decreases overall daily lipolytic activity and blunts the lipolytic response to fasting. Adipose tissue is the body’s major fuel reserve. Therefore, the mobilization of adipose triglycerides and the release of FFAs and glycerol into the bloodstream are critical for survival during periods of food deprivation and for physical function during prolonged physical activity. Accordingly, alterations in adipose tissue clock function could have serious adverse consequences during fasting and endurance exercise. However, it is also possible that localized adipose tissue clock disruption and downregulation of lipolytic activity have beneficial metabolic effects if energy intake and adiposity are not increased because experimentally increasing circulating FFAs causes hepatic (18) and skeletal muscle (19) insulin resistance, whereas experimentally decreasing serum FFA concentrations improves insulin sensitivity (20). An additional key finding from the study by Shostak et al. (17) is that ClockΔ19 mutant mice had greater food intake, body weight, and percent body fat than WT mice. Unfortunately, these effects confound the interpretation of the data from their study because it is possible that altered feeding patterns and increased adiposity affect circadian oscillations in adipose tissue lipolytic activity. A weight gain–matched control group is needed to fully resolve this issue. The increase in body weight and fat mass was likely caused by hyperphagia and by not a decrease in adipose tissue lipolytic activity. Body weight and body fat reflect the balance between energy intake and energy expenditure. Impaired lipolytic rate alone should not cause an accumulation of body fat without a concomitant positive energy balance. Therefore, these data suggest circadian rhythms are involved in the drive to eat, and they provide a potential mechanism responsible for weight gain and obesity associated with sleep deprivation and working at night. The findings of Shostak et al. (17) add to our understanding of the molecular and physiological connection between circadian rhythm and adipose tissue metabolism. Additional studies conducted in adipose tissue–specific (and organ-specific) KO or transgenic mice, in conjunction with diet-matched control animals, are needed to help unravel the complex effects of clock rhythms in individual organs. The extraordinary diverse and profound effects of circadian rhythm disruption on eating behavior and multiorgan metabolic function make them particularly important to understand the potential link between central and peripheral clocks in the pathogenesis of obesity and metabolic dysfunction in people. These studies could lead to novel targets for treating obesity and its metabolic complications.
  20 in total

1.  FFA cause hepatic insulin resistance by inhibiting insulin suppression of glycogenolysis.

Authors:  Guenther Boden; Peter Cheung; T Peter Stein; Karen Kresge; Maria Mozzoli
Journal:  Am J Physiol Endocrinol Metab       Date:  2002-07       Impact factor: 4.310

2.  Adverse metabolic and cardiovascular consequences of circadian misalignment.

Authors:  Frank A J L Scheer; Michael F Hilton; Christos S Mantzoros; Steven A Shea
Journal:  Proc Natl Acad Sci U S A       Date:  2009-03-02       Impact factor: 11.205

3.  Physiological significance of a peripheral tissue circadian clock.

Authors:  Katja A Lamia; Kai-Florian Storch; Charles J Weitz
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-08       Impact factor: 11.205

4.  Exposure to recurrent sleep restriction in the setting of high caloric intake and physical inactivity results in increased insulin resistance and reduced glucose tolerance.

Authors:  Arlet V Nedeltcheva; Lynn Kessler; Jacqueline Imperial; Plamen D Penev
Journal:  J Clin Endocrinol Metab       Date:  2009-06-30       Impact factor: 5.958

5.  Brain and muscle Arnt-like protein-1 (BMAL1), a component of the molecular clock, regulates adipogenesis.

Authors:  Shigeki Shimba; Norimasa Ishii; Yuki Ohta; Toshiharu Ohno; Yuichi Watabe; Mitsuaki Hayashi; Taira Wada; Toshinori Aoyagi; Masakatsu Tezuka
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-10       Impact factor: 11.205

6.  Overnight lowering of free fatty acids with Acipimox improves insulin resistance and glucose tolerance in obese diabetic and nondiabetic subjects.

Authors:  A T Santomauro; G Boden; M E Silva; D M Rocha; R F Santos; M J Ursich; P G Strassmann; B L Wajchenberg
Journal:  Diabetes       Date:  1999-09       Impact factor: 9.461

7.  Disruption of the clock components CLOCK and BMAL1 leads to hypoinsulinaemia and diabetes.

Authors:  Biliana Marcheva; Kathryn Moynihan Ramsey; Ethan D Buhr; Yumiko Kobayashi; Hong Su; Caroline H Ko; Ganka Ivanova; Chiaki Omura; Shelley Mo; Martha H Vitaterna; James P Lopez; Louis H Philipson; Christopher A Bradfield; Seth D Crosby; Lellean JeBailey; Xiaozhong Wang; Joseph S Takahashi; Joseph Bass
Journal:  Nature       Date:  2010-07-29       Impact factor: 49.962

Review 8.  Epidemiological evidence for the links between sleep, circadian rhythms and metabolism.

Authors:  J E Gangwisch
Journal:  Obes Rev       Date:  2009-11       Impact factor: 9.213

Review 9.  Circadian rhythms and metabolic syndrome: from experimental genetics to human disease.

Authors:  Eleonore Maury; Kathryn Moynihan Ramsey; Joseph Bass
Journal:  Circ Res       Date:  2010-02-19       Impact factor: 17.367

10.  BMAL1 and CLOCK, two essential components of the circadian clock, are involved in glucose homeostasis.

Authors:  R Daniel Rudic; Peter McNamara; Anne-Maria Curtis; Raymond C Boston; Satchidananda Panda; John B Hogenesch; Garret A Fitzgerald
Journal:  PLoS Biol       Date:  2004-11-02       Impact factor: 8.029

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1.  Diurnal Variation in PDK4 Expression Is Associated With Plasma Free Fatty Acid Availability in People.

Authors:  Shintaro Yamaguchi; Anna C Moseley; Paloma Almeda-Valdes; Kelly L Stromsdorfer; Michael P Franczyk; Adewole L Okunade; Bruce W Patterson; Samuel Klein; Jun Yoshino
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2.  CPEB4 links the clock and the UPR to protect the liver.

Authors:  Paul C Moore; Scott A Oakes
Journal:  Nat Cell Biol       Date:  2017-01-31       Impact factor: 28.824

Review 3.  [Importance of sleep and circadian rhythm for energy metabolism].

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4.  Impact of Sleep and Circadian Disruption on Energy Balance and Diabetes: A Summary of Workshop Discussions.

Authors:  Deanna M Arble; Joseph Bass; Cecilia Diniz Behn; Matthew P Butler; Etienne Challet; Charles Czeisler; Christopher M Depner; Joel Elmquist; Paul Franken; Michael A Grandner; Erin C Hanlon; Alex C Keene; Michael J Joyner; Ilia Karatsoreos; Philip A Kern; Samuel Klein; Christopher J Morris; Allan I Pack; Satchidananda Panda; Louis J Ptacek; Naresh M Punjabi; Paolo Sassone-Corsi; Frank A Scheer; Richa Saxena; Elizabeth R Seaquest; Matthew S Thimgan; Eve Van Cauter; Kenneth P Wright
Journal:  Sleep       Date:  2015-12-01       Impact factor: 5.849

5.  Maternal BMI as a predictor of methylation of obesity-related genes in saliva samples from preschool-age Hispanic children at-risk for obesity.

Authors:  Kathryn Tully Oelsner; Yan Guo; Sophie Bao-Chieu To; Amy L Non; Shari L Barkin
Journal:  BMC Genomics       Date:  2017-01-09       Impact factor: 3.969

6.  Analysing the Expression of Eight Clock Genes in Five Tissues From Fasting and Fed Sows.

Authors:  Tainã Figueiredo Cardoso; Raquel Quintanilla; Anna Castelló; Emilio Mármol-Sánchez; Maria Ballester; Jordi Jordana; Marcel Amills
Journal:  Front Genet       Date:  2018-10-18       Impact factor: 4.599

7.  Interactome-transcriptome analysis discovers signatures complementary to GWAS Loci of Type 2 Diabetes.

Authors:  Jing-Woei Li; Heung-Man Lee; Ying Wang; Amy Hin-Yan Tong; Kevin Y Yip; Stephen Kwok-Wing Tsui; Si Lok; Risa Ozaki; Andrea O Luk; Alice P S Kong; Wing-Yee So; Ronald C W Ma; Juliana C N Chan; Ting-Fung Chan
Journal:  Sci Rep       Date:  2016-10-18       Impact factor: 4.379

Review 8.  A glimpse at the aging eye.

Authors:  Jonathan B Lin; Kazuo Tsubota; Rajendra S Apte
Journal:  NPJ Aging Mech Dis       Date:  2016-03-10

9.  Exercise Training-Enhanced Lipolytic Potency to Catecholamine Depends on the Time of the Day.

Authors:  Hisashi Kato; Junetsu Ogasawara; Hisashi Takakura; Ken Shirato; Takuya Sakurai; Takako Kizaki; Tetsuya Izawa
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