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The Controversial Role of Adiponectin in Appetite Regulation of Animals. Nutrients 2021; 13:nu13103387. [PMID: 34684387 PMCID: PMC8539471 DOI: 10.3390/nu13103387] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 09/05/2021] [Accepted: 09/23/2021] [Indexed: 12/20/2022] Open
Abstract
Eating disorders and obesity are important health problems with a widespread global epidemic. Adiponectin (AdipoQ), the most abundant adipokine in the plasma, plays important roles in the regulation of energy homeostasis, glucose metabolism and lipid metabolism. Plasma adiponectin concentration is negatively associated with obesity and binge eating disorder. There is a growing interest in the appetite regulation function of adiponectin. However, the effect of AdipoQ on feeding behavior is controversial and closely related to nutritional status and food composition. In this review, we summarize the literatures about the discovery, structure, tissue distribution, receptors and regulation of nutritional status, and focus on the biological function of adiponectin in the regulation of food intake in the central and peripheral system.
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Тимашева ЯР, Балхиярова ЖР, Кочетова ОВ. [Current state of the obesity research: genetic aspects, the role of microbiome, and susceptibility to COVID-19]. PROBLEMY ENDOKRINOLOGII 2021; 67:20-35. [PMID: 34533011 PMCID: PMC9753850 DOI: 10.14341/probl12775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/21/2021] [Accepted: 08/02/2021] [Indexed: 11/06/2022]
Abstract
Obesity affects over 700 million people worldwide and its prevalence keeps growing steadily. The problem is particularly relevant due to the increased risk of COVID-19 complications and mortality in obese patients. Obesity prevalence increase is often associated with the influence of environmental and behavioural factors, leading to stigmatization of people with obesity due to beliefs that their problems are caused by poor lifestyle choices. However, hereditary predisposition to obesity has been established, likely polygenic in nature. Morbid obesity can result from rare mutations having a significant effect on energy metabolism and fat deposition, but the majority of patients does not present with monogenic forms. Microbiome low diversity significantly correlates with metabolic disorders (inflammation, insulin resistance), and the success of weight loss (bariatric) surgery. However, data on the long-term consequences of bariatric surgery and changes in the microbiome composition and genetic diversity before and after surgery are currently lacking. In this review, we summarize the results of studies of the genetic characteristics of obesity patients, molecular mechanisms of obesity, contributing to the unfavourable course of coronavirus infection, and the evolution of their microbiome during bariatric surgery, elucidating the mechanisms of disease development and creating opportunities to identify potential new treatment targets and design effective personalized approaches for the diagnosis, management, and prevention of obesity.
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Affiliation(s)
- Я. Р. Тимашева
- Институт биохимии и генетики Уфимского федерального исследовательского центра Российской академии наук;
Башкирский государственный медицинский университет
| | - Ж. Р. Балхиярова
- Институт биохимии и генетики Уфимского федерального исследовательского центра Российской академии наук;
Башкирский государственный медицинский университет;
Университет Суррея
| | - О. В. Кочетова
- Институт биохимии и генетики Уфимского федерального исследовательского центра Российской академии наук
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Takao N, Kurose S, Miyauchi T, Onishi K, Tamanoi A, Tsuyuguchi R, Fujii A, Yoshiuchi S, Takahashi K, Tsutsumi H, Kimura Y. The relationship between changes in serum myostatin and adiponectin levels in patients with obesity undergoing a weight loss program. BMC Endocr Disord 2021; 21:147. [PMID: 34233657 PMCID: PMC8265051 DOI: 10.1186/s12902-021-00808-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 06/25/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND An effective strategy for weight loss in patients who are overweight or obese is to reduce body fat mass while maintaining skeletal muscle mass. Adiponectin and myostatin are affected through changes in body composition due to weight loss, and examining their dynamics may contribute to strategies for maintaining skeletal muscle mass through weight loss. We aimed to examine the relationships among myostatin, adiponectin, and body composition, depending on the extent of weight loss, in patients with obesity undergoing a weight loss program. METHODS We examined 66 patients with obesity (age: 46.8 ± 14.0 years, body mass index: 34.3 [31.0-38.4] kg/m2) attending a hospital weight loss program. We categorized the patients into two groups, namely an L group (those with a weight reduction of < 5% from baseline) and an M group (those with a weight reduction of > 5% from baseline). All patients underwent blood tests and were assessed for body composition, insulin resistance, adipocytokine and myokine levels, exercise tolerance, and muscle strength at baseline and post-intervention. RESULTS Serum myostatin and adiponectin levels increased post-intervention in both groups. Body weight and %fat decreased, and the rate of lean body mass (%LBM) increased in both groups. Exercise capacity and muscle strength improved in the M group only. Change in (⊿) myostatin correlated with ⊿%fat, ⊿%LBM, and ⊿adiponectin. ⊿adiponectin (β = - 0.262, p = 0.035) was an independent predictor of ⊿myostatin. CONCLUSIONS Myostatin and adiponectin might cross-talk and regulate changes in skeletal muscle and fat mass with or without successful weight loss. These findings indicate that evaluating serum myostatin and adiponectin levels in clinical practice could be used to predict the effects of weight loss and help prevent skeletal muscle mass loss.
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Affiliation(s)
- Nana Takao
- Department of Health Science, Graduate School of Medicine, Kansai Medical University, 2-5-1, Shinmachi, Hirakata, 573-1010, Japan.
- Health Science Center, Kansai Medical University Hospital, 2-3-1, Shinmachi, Hirakata, 573-1191, Japan.
| | - Satoshi Kurose
- Department of Health Science, Kansai Medical University, 2-5-1, Shinmachi, Hirakata, 573-1010, Japan
| | - Takumi Miyauchi
- Department of Health Science, Graduate School of Medicine, Kansai Medical University, 2-5-1, Shinmachi, Hirakata, 573-1010, Japan
- Health Science Center, Kansai Medical University Hospital, 2-3-1, Shinmachi, Hirakata, 573-1191, Japan
| | - Katsuko Onishi
- Department of Health Science, Kansai Medical University, 2-5-1, Shinmachi, Hirakata, 573-1010, Japan
| | - Atsuko Tamanoi
- Health Science Center, Kansai Medical University Hospital, 2-3-1, Shinmachi, Hirakata, 573-1191, Japan
| | - Ryota Tsuyuguchi
- Department of Health Science, Graduate School of Medicine, Kansai Medical University, 2-5-1, Shinmachi, Hirakata, 573-1010, Japan
| | - Aya Fujii
- Department of Health Science, Graduate School of Medicine, Kansai Medical University, 2-5-1, Shinmachi, Hirakata, 573-1010, Japan
- Health Science Center, Kansai Medical University Hospital, 2-3-1, Shinmachi, Hirakata, 573-1191, Japan
| | - Sawako Yoshiuchi
- Department of Nutrition Management, Kansai Medical University Hospital, 2-3-1, Shinmachi, Hirakata, 573-1191, Japan
| | - Kazuhisa Takahashi
- Department of Medicine II, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, Japan
| | - Hiromi Tsutsumi
- Department of Health Science, Kansai Medical University, 2-5-1, Shinmachi, Hirakata, 573-1010, Japan
| | - Yutaka Kimura
- Health Science Center, Kansai Medical University Hospital, 2-3-1, Shinmachi, Hirakata, 573-1191, Japan
- Department of Health Science, Kansai Medical University, 2-5-1, Shinmachi, Hirakata, 573-1010, Japan
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Bray GA, Krauss RM, Sacks FM, Qi L. Lessons Learned from the POUNDS Lost Study: Genetic, Metabolic, and Behavioral Factors Affecting Changes in Body Weight, Body Composition, and Cardiometabolic Risk. Curr Obes Rep 2019; 8:262-283. [PMID: 31214942 DOI: 10.1007/s13679-019-00353-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE OF REVIEW This paper reviews the genetic and non-genetic factors that provided predictions of, or were associated with, weight loss and other metabolic changes in the POUNDS Lost clinical trial of weight loss. This trial randomized 811 individuals who were overweight or obese to one of four diets that contained either 15% or 25% protein and 20% or 40% fat in a 2 × 2 factorial design. A standard behavioral weight loss program was available for all participants who were followed for 2 years with an 80% completion rate. RECENT FINDINGS Nineteen genes and five genetic risk scores were used along with demographic, behavioral, endocrine, and metabolic measurements. Genetic variations in most of the genes were associated with weight loss, but this association often varied with the dietary assignment. A number of demographic and behavioral factors, including attendance at behavioral sessions and food cravings were predictive of weight changes. A high baseline level of free triiodothyronine or free thyroxine predicted the magnitude of weight loss. Several perfluoroakyl compounds predicted more rapid weight regain. Genetic evidence from POUNDS Lost provides guidance toward selection of a personalized weight loss diet and improvement in metabolic profile. There is still room for additional research into the predictors of weight loss.
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Affiliation(s)
- George A Bray
- Pennington Biomedical Research Center Baton Rouge, Baton Rouge, LA, USA.
- Children's Hospital Oakland Research Institute, Oakland, CA, USA.
| | - Ronald M Krauss
- Children's Hospital Oakland Research Institute, Oakland, CA, USA
| | - Frank M Sacks
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lu Qi
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Tulane University School of Public Health, New Orleans, LA, USA
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Sanghera DK, Bejar C, Sharma S, Gupta R, Blackett PR. Obesity genetics and cardiometabolic health: Potential for risk prediction. Diabetes Obes Metab 2019; 21:1088-1100. [PMID: 30667137 PMCID: PMC6530772 DOI: 10.1111/dom.13641] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 01/17/2019] [Accepted: 01/19/2019] [Indexed: 02/06/2023]
Abstract
The increasing burden of obesity worldwide and its effect on cardiovascular disease (CVD) risk is an opportunity for evaluation of preventive approaches. Both obesity and CVD have a genetic background and polymorphisms within genes which enhance expression of variant proteins that influence CVD in obesity. Genome-based prediction may therefore be a feasible strategy, but the identification of genetically driven risk factors for CVD manifesting as clinically recognized phenotypes is a major challenge. Clusters of such risk factors include hyperglycaemia, hypertension, ectopic liver fat, and inflammation. All involve multiple genetic pathways having complex interactions with variable environmental influences. The factors that make significant contributions to CVD risk include altered carbohydrate homeostasis, ectopic deposition of fat in muscle and liver, and inflammation, with contributions from the gut microbiome. A futuristic model depends on harnessing the predictive power of plausible genetic variants, phenotype reversibility, and effective therapeutic choices based on genotype-phenotype interactions. Inverting disease phenotypes into ideal cardiovascular health metrics could improve genetic and epigenetic assessment, and form the basis of a future model for risk detection and early intervention.
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Affiliation(s)
- Dharambir K. Sanghera
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Neuroscience, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- (Corresponding authors) Dharambir K. Sanghera, Ph.D., F.A.H.A., Department of Pediatrics, Section of Genetics, University of Oklahoma Health Sciences Center, 940 Stanton L. Young Blvd., Rm. D317 BMSB, Oklahoma City, OK 73104, USA, , Piers R. Blackett, M.D., Department of Pediatrics, Section of Endocrinology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA,
| | - Cynthia Bejar
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Sonali Sharma
- Department of Biochemistry, College of Medical Sciences, Rajasthan University of Health Sciences, Kumbha Marg, Pratap Nagar, Jaipur 302033, India
| | - Rajeev Gupta
- Academic Research Development Unit, College of Medical Sciences, Rajasthan University of Health Sciences, Kumbha Marg, Pratap Nagar, Jaipur 302033, India
| | - Piers R. Blackett
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- (Corresponding authors) Dharambir K. Sanghera, Ph.D., F.A.H.A., Department of Pediatrics, Section of Genetics, University of Oklahoma Health Sciences Center, 940 Stanton L. Young Blvd., Rm. D317 BMSB, Oklahoma City, OK 73104, USA, , Piers R. Blackett, M.D., Department of Pediatrics, Section of Endocrinology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA,
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Crinò A, Fintini D, Bocchini S, Grugni G. Obesity management in Prader-Willi syndrome: current perspectives. Diabetes Metab Syndr Obes 2018; 11:579-593. [PMID: 30323638 PMCID: PMC6175547 DOI: 10.2147/dmso.s141352] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Prader-Willi syndrome (PWS) is a complex multisystem disorder due to the absent expression of the paternally active genes in the PWS critical region on chromosome 15 (15q11.2-q13). The syndrome is considered the most common genetic cause of obesity, occurring in 1:10,000-1:30,000 live births. Its main characteristics include neonatal hypotonia, poor feeding, and lack of appetite in infancy, followed by weight gain, lack of satiety, and uncontrolled appetite, frequently after the age of 2-3 years. The clinical picture includes short stature, multiple endocrine abnormalities (hypogonadism, growth hormone/insulin-like growth factor-I axis dysfunction, hypothyroidism, central adrenal insufficiency), dysmorphic features, scoliosis, osteoporosis, mental retardation, and behavioral and psychiatric problems. Subjects with PWS will become severely obese unless their food intake is strictly controlled. Constant and obsessive food seeking behavior can make life very difficult for both the family and caretakers. Prevention of obesity is mandatory in these patients from the first years of life, because once obesity develops it is difficult to maintain the control of food intake. In fact, PWS subjects die prematurely from complications conventionally related to obesity, including diabetes mellitus, metabolic syndrome, sleep apnea, respiratory insufficiency, and cardiovascular disease. The mechanisms underlying hyperphagia in PWS are not completely known, and to date no drugs have proven their efficacy in controlling appetite. Consequently, dietary restriction, physical activity, and behavior management are fundamental in the prevention and management of obesity in PWS. In spite of all available therapeutic tools, however, successful weight loss and maintenance are hardly accomplished. In this context, clinical trials with new drugs have been initiated in order to find new possibilities of a therapy for obesity in these patients. The preliminary results of these studies seem to be encouraging. On the other hand, until well-proven medical treatments are available, bariatric surgery can be taken into consideration, especially in PWS patients with life-threatening comorbidities.
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Affiliation(s)
| | - Danilo Fintini
- Endocrinology Unit, Bambino Gesù Children's Hospital, Research Institute, Palidoro, Rome
| | | | - Graziano Grugni
- Division of Auxology, Italian Auxological Institute, Research Institute, Piancavallo, Verbania, Italy
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Heianza Y, Qi L. Gene-Diet Interaction and Precision Nutrition in Obesity. Int J Mol Sci 2017; 18:ijms18040787. [PMID: 28387720 PMCID: PMC5412371 DOI: 10.3390/ijms18040787] [Citation(s) in RCA: 111] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Revised: 03/30/2017] [Accepted: 04/03/2017] [Indexed: 02/06/2023] Open
Abstract
The rapid rise of obesity during the past decades has coincided with a profound shift of our living environment, including unhealthy dietary patterns, a sedentary lifestyle, and physical inactivity. Genetic predisposition to obesity may have interacted with such an obesogenic environment in determining the obesity epidemic. Growing studies have found that changes in adiposity and metabolic response to low-calorie weight loss diets might be modified by genetic variants related to obesity, metabolic status and preference to nutrients. This review summarized data from recent studies of gene-diet interactions, and discussed integration of research of metabolomics and gut microbiome, as well as potential application of the findings in precision nutrition.
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Affiliation(s)
- Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA.
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
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