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Best J, Kim R, Reed M, Nijhout HF. A mathematical model of melatonin synthesis and interactions with the circadian clock. Math Biosci 2024; 377:109280. [PMID: 39243938 DOI: 10.1016/j.mbs.2024.109280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 08/13/2024] [Indexed: 09/09/2024]
Abstract
A new mathematical model of melatonin synthesis in pineal cells is created and connected to a slightly modified previously created model of the circadian clock in the suprachiasmatic nucleus (SCN). The SCN influences the production of melatonin by upregulating two key enzymes in the pineal. The melatonin produced enters the blood and the cerebrospinal fluid and thus the SCN, influencing the circadian clock. We show that the model of melatonin synthesis corresponds well with extant experimental data and responds similarly to clinical experiments on bright light in the middle of the night. Melatonin is widely used to treat jet lag and sleep disorders. We show how the feedback from the pineal to the SCN causes phase resetting of the circadian clock. Melatonin doses early in the evening advance the clock and doses late at night delay the clock with a dead zone in between where the phase of the clock does not change.
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Affiliation(s)
- Janet Best
- Department of Mathematics, The Ohio State University, 231 W. 18th Ave., Columbus, 43210, OH, USA.
| | - Ruby Kim
- Department of Mathematics, University of Michigan, 2074 East Hall, 530 Church St., Ann Arbor, 48109, MI, USA
| | - Michael Reed
- Department of Mathematics, Duke University, 120 Science Drive, Campus box 90338, Durham, 27708, NC, USA
| | - H Frederik Nijhout
- Department of Biology, Duke University, Biological Sciences Building, Campus box 90320, Durham, 27708, NC, USA
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2
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Heianza Y, Zhou T, Wang X, Furtado JD, Appel LJ, Sacks FM, Qi L. MTNR1B genotype and effects of carbohydrate quantity and dietary glycaemic index on glycaemic response to an oral glucose load: the OmniCarb trial. Diabetologia 2024; 67:506-515. [PMID: 38052941 DOI: 10.1007/s00125-023-06056-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 11/02/2023] [Indexed: 12/07/2023]
Abstract
AIMS/HYPOTHESIS A type 2 diabetes-risk-increasing variant, MTNR1B (melatonin receptor 1B) rs10830963, regulates the circadian function and may influence the variability in metabolic responses to dietary carbohydrates. We investigated whether the effects of carbohydrate quantity and dietary glycaemic index (GI) on glycaemic response during OGTTs varied by the risk G allele of MTNR1B-rs10830963. METHODS This study included participants (n=150) of a randomised crossover-controlled feeding trial of four diets with high/low GI levels and high/low carbohydrate content for 5 weeks. The MTNR1B-rs10830963 (C/G) variant was genotyped. Glucose response during 2 h OGTT was measured at baseline and the end of each diet intervention. RESULTS Among the four study diets, carrying the risk G allele (CG/GG vs CC genotype) of MTNR1B-rs10830963 was associated with the largest AUC of glucose during 2 h OGTT after consuming a high-carbohydrate/high-GI diet (β 134.32 [SE 45.69] mmol/l × min; p=0.004). The risk G-allele carriers showed greater increment of glucose during 0-60 min (β 1.26 [0.47] mmol/l; p=0.008) or 0-90 min (β 1.10 [0.50] mmol/l; p=0.028) after the high-carbohydrate/high-GI diet intervention, but not after consuming the other three diets. At high carbohydrate content, reducing GI levels decreased 60 min post-OGTT glucose (mean -0.67 [95% CI: -1.18, -0.17] mmol/l) and the increment of glucose during 0-60 min (mean -1.00 [95% CI: -1.67, -0.33] mmol/l) and 0-90 min, particularly in the risk G-allele carriers (pinteraction <0.05 for all). CONCLUSIONS/INTERPRETATION Our study shows that carrying the risk G allele of MTNR1B-rs10830963 is associated with greater glycaemic responses after consuming a diet with high carbohydrates and high GI levels. Reducing GI in a high-carbohydrate diet may decrease post-OGTT glucose concentrations among the risk G-allele carriers.
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Affiliation(s)
- Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
| | - Tao Zhou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Department of Epidemiology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Xuan Wang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Jeremy D Furtado
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Biogen Epidemiology, Cambridge, MA, USA
| | - Lawrence J Appel
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Frank M Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Gkouskou KK, Grammatikopoulou MG, Lazou E, Vasilogiannakopoulou T, Sanoudou D, Eliopoulos AG. A genomics perspective of personalized prevention and management of obesity. Hum Genomics 2024; 18:4. [PMID: 38281958 PMCID: PMC10823690 DOI: 10.1186/s40246-024-00570-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 01/03/2024] [Indexed: 01/30/2024] Open
Abstract
This review discusses the landscape of personalized prevention and management of obesity from a nutrigenetics perspective. Focusing on macronutrient tailoring, we discuss the impact of genetic variation on responses to carbohydrate, lipid, protein, and fiber consumption. Our bioinformatic analysis of genomic variants guiding macronutrient intake revealed enrichment of pathways associated with circadian rhythm, melatonin metabolism, cholesterol and lipoprotein remodeling and PPAR signaling as potential targets of macronutrients for the management of obesity in relevant genetic backgrounds. Notably, our data-based in silico predictions suggest the potential of repurposing the SYK inhibitor fostamatinib for obesity treatment in relevant genetic profiles. In addition to dietary considerations, we address genetic variations guiding lifestyle changes in weight management, including exercise and chrononutrition. Finally, we emphasize the need for a refined understanding and expanded research into the complex genetic landscape underlying obesity and its management.
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Affiliation(s)
- Kalliopi K Gkouskou
- Department of Biology, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, 11527, Athens, Greece.
- GENOSOPHY P.C., Athens, Greece.
| | - Maria G Grammatikopoulou
- Unit of Immunonutrition and Clinical Nutrition, Department of Rheumatology and Clinical Immunology, University General Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece
| | | | - Theodora Vasilogiannakopoulou
- Department of Biology, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, 11527, Athens, Greece
| | - Despina Sanoudou
- Clinical Genomics and Pharmacogenomics Unit, 4th Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Center for New Biotechnologies and Precision Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Aristides G Eliopoulos
- Department of Biology, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, 11527, Athens, Greece.
- GENOSOPHY P.C., Athens, Greece.
- Center for New Biotechnologies and Precision Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
- Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
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Gubin D, Danilenko K, Stefani O, Kolomeichuk S, Markov A, Petrov I, Voronin K, Mezhakova M, Borisenkov M, Shigabaeva A, Yuzhakova N, Lobkina S, Weinert D, Cornelissen G. Blue Light and Temperature Actigraphy Measures Predicting Metabolic Health Are Linked to Melatonin Receptor Polymorphism. BIOLOGY 2023; 13:22. [PMID: 38248453 PMCID: PMC10813279 DOI: 10.3390/biology13010022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/29/2023] [Accepted: 12/29/2023] [Indexed: 01/23/2024]
Abstract
This study explores the relationship between the light features of the Arctic spring equinox and circadian rhythms, sleep and metabolic health. Residents (N = 62) provided week-long actigraphy measures, including light exposure, which were related to body mass index (BMI), leptin and cortisol. Lower wrist temperature (wT) and higher evening blue light exposure (BLE), expressed as a novel index, the nocturnal excess index (NEIbl), were the most sensitive actigraphy measures associated with BMI. A higher BMI was linked to nocturnal BLE within distinct time windows. These associations were present specifically in carriers of the MTNR1B rs10830963 G-allele. A larger wake-after-sleep onset (WASO), smaller 24 h amplitude and earlier phase of the activity rhythm were associated with higher leptin. Higher cortisol was associated with an earlier M10 onset of BLE and with our other novel index, the Daylight Deficit Index of blue light, DDIbl. We also found sex-, age- and population-dependent differences in the parametric and non-parametric indices of BLE, wT and physical activity, while there were no differences in any sleep characteristics. Overall, this study determined sensitive actigraphy markers of light exposure and wT predictive of metabolic health and showed that these markers are linked to melatonin receptor polymorphism.
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Affiliation(s)
- Denis Gubin
- Department of Biology, Tyumen Medical University, 625023 Tyumen, Russia
- Laboratory for Chronobiology and Chronomedicine, Research Institute of Biomedicine and Biomedical Technologies, Tyumen Medical University, 625023 Tyumen, Russia; (K.D.); (A.S.)
- Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Sciences, 634009 Tomsk, Russia
| | - Konstantin Danilenko
- Laboratory for Chronobiology and Chronomedicine, Research Institute of Biomedicine and Biomedical Technologies, Tyumen Medical University, 625023 Tyumen, Russia; (K.D.); (A.S.)
- Institute of Neurosciences and Medicine, 630117 Novosibirsk, Russia
| | - Oliver Stefani
- Department Engineering and Architecture, Institute of Building Technology and Energy, Lucerne University of Applied Sciences and Arts, 6048 Horw, Switzerland;
| | - Sergey Kolomeichuk
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
- Laboratory of Genetics, Institute of Biology of the Karelian Science Center, Russian Academy of Sciences, 185910 Petrozavodsk, Russia
| | - Alexander Markov
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
| | - Ivan Petrov
- Department of Biological & Medical Physics UNESCO, Medical University, 625023 Tyumen, Russia
| | - Kirill Voronin
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
| | - Marina Mezhakova
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
| | - Mikhail Borisenkov
- Department of Molecular Immunology and Biotechnology, Institute of Physiology of the Federal Research Centre Komi Science Centre, Ural Branch of the Russian Academy of Sciences, 167982 Syktyvkar, Russia;
| | - Aislu Shigabaeva
- Laboratory for Chronobiology and Chronomedicine, Research Institute of Biomedicine and Biomedical Technologies, Tyumen Medical University, 625023 Tyumen, Russia; (K.D.); (A.S.)
| | - Natalya Yuzhakova
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
| | - Svetlana Lobkina
- Healthcare Institution of Yamalo-Nenets Autonomous Okrug “Tarko-Sale Central District Hospital”, 629850 Urengoy, Russia;
| | - Dietmar Weinert
- Institute of Biology/Zoology, Martin Luther University, 06108 Halle-Wittenberg, Germany;
| | - Germaine Cornelissen
- Department of Integrated Biology and Physiology, University of Minnesota, Minneapolis, MN 55455, USA;
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Kim M, Lee S, Cho E, Hong KW, You SJ, Choi HJ. CETP and APOA2 polymorphisms are associated with weight loss and healthy eating behavior changes in response to digital lifestyle modifications. Sci Rep 2023; 13:21615. [PMID: 38062157 PMCID: PMC10703771 DOI: 10.1038/s41598-023-48823-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
Response to digital healthcare lifestyle modifications is highly divergent. This study aimed to examine the association between single nucleotide polymorphism (SNP) genotypes and clinical efficacy of a digital healthcare lifestyle modification. We genotyped 97 obesity-related SNPs from 45 participants aged 18-39 years, who underwent lifestyle modification via digital cognitive behavioral therapy for obesity for 8 weeks. Anthropometric, eating behavior phenotypes, and psychological measures were analyzed before and after the intervention to identify their clinical efficacy. CETP (rs9939224) SNP significantly predict "super-responders" with greater body mass index (BMI) reduction (p = 0.028; GG - 2.91%, GT - 9.94%), while APOA2 (rs5082) appeared to have some potential for predicting "poor-responders" with lower BMI reduction (p = 0.005; AA - 6.17%, AG + 2.05%, and GG + 5.11%). These SNPs was also associated with significant differences in eating behavior changes, healthy diet proportions, health diet diversity, emotional and restrained eating behavior changes. Furthermore, classification using gene-gene interactions between rs9939224 and rs5082 significantly predicted the best response, with a greater decrease in BMI (p = 0.038; - 11.45% for the best response group (CEPT GT/TT × APOA2 AA) vs. + 2.62% for the worst response group (CEPT GG × APOA2 AG/GG)). CETP and APOA2 SNPs can be used as candidate markers to predict the efficacy of digital healthcare lifestyle modifications based on genotype-based precision medicine.Trial registration: NCT03465306, ClinicalTrials.gov. Registered March, 2018.
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Affiliation(s)
- Meelim Kim
- Department of Biomedical Science, Seoul National University College of Medicine, 28 Yungun-Dong, Chongno-Gu, Seoul, 110-799, Korea
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
- Center for Wireless and Population Health Systems, Calit2's Qualcomm Institute, University of California, San Diego, La Jolla, CA, USA
- The Design Lab, University of California, San Diego, La Jolla, CA, USA
| | - Seolha Lee
- Department of Biomedical Science, Seoul National University College of Medicine, 28 Yungun-Dong, Chongno-Gu, Seoul, 110-799, Korea
- Department of Global Medical Science, Sungshin Women's University, Seoul, Korea
| | - Eun Cho
- Department of Biomedical Science, Seoul National University College of Medicine, 28 Yungun-Dong, Chongno-Gu, Seoul, 110-799, Korea
| | | | | | - Hyung Jin Choi
- Department of Biomedical Science, Seoul National University College of Medicine, 28 Yungun-Dong, Chongno-Gu, Seoul, 110-799, Korea.
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Hariri A, Mirian M, Zarrabi A, Kohandel M, Amini-Pozveh M, Aref AR, Tabatabaee A, Prabhakar PK, Sivakumar PM. The circadian rhythm: an influential soundtrack in the diabetes story. Front Endocrinol (Lausanne) 2023; 14:1156757. [PMID: 37441501 PMCID: PMC10333930 DOI: 10.3389/fendo.2023.1156757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 05/03/2023] [Indexed: 07/15/2023] Open
Abstract
Type 2 Diabetes Mellitus (T2DM) has been the main category of metabolic diseases in recent years due to changes in lifestyle and environmental conditions such as diet and physical activity. On the other hand, the circadian rhythm is one of the most significant biological pathways in humans and other mammals, which is affected by light, sleep, and human activity. However, this cycle is controlled via complicated cellular pathways with feedback loops. It is widely known that changes in the circadian rhythm can alter some metabolic pathways of body cells and could affect the treatment process, particularly for metabolic diseases like T2DM. The aim of this study is to explore the importance of the circadian rhythm in the occurrence of T2DM via reviewing the metabolic pathways involved, their relationship with the circadian rhythm from two perspectives, lifestyle and molecular pathways, and their effect on T2DM pathophysiology. These impacts have been demonstrated in a variety of studies and led to the development of approaches such as time-restricted feeding, chronotherapy (time-specific therapies), and circadian molecule stabilizers.
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Affiliation(s)
- Amirali Hariri
- Department of Pharmaceutical Biotechnology, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mina Mirian
- Department of Pharmaceutical Biotechnology, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ali Zarrabi
- Department of Biomedical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Türkiye
| | - Mohammad Kohandel
- Department of Applied Mathematics, Faculty of Mathematics, University of Waterloo, Waterloo, ON, Canada
| | - Maryam Amini-Pozveh
- Department of Prosthodontics Dentistry, Dental Materials Research Center, Dental Research Institute, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Amir Reza Aref
- Belfer Center for Applied Cancer Science, Dana Farber Cancer Institute, Boston, MA, United States
- Translational Sciences, Xsphera Biosciences Inc., Boston, MA, United States
| | - Aliye Tabatabaee
- School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Pranav Kumar Prabhakar
- Department of Medical Laboratory Sciences, School of Allied Medical Sciences, Lovely Professional University, Phagwara, Punjab, India
- Division of Research and Development, Lovely Professional University, Phagwara Punjab, India
| | - Ponnurengam Malliappan Sivakumar
- Institute of Research and Development, Duy Tan University, Da Nang, Vietnam
- School of Medicine and Pharmacy, Duy Tan University, Da Nang, Vietnam
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Xiao Y, Yin S, Bai Y, Yang Z, Wang J, Cui J, Wang J. Association between circadian syndrome and the prevalence of kidney stones in overweight adults: a cross-sectional analysis of NHANES 2007-2018. BMC Public Health 2023; 23:960. [PMID: 37237298 DOI: 10.1186/s12889-023-15934-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/19/2023] [Indexed: 05/28/2023] Open
Abstract
OBJECTIVE To explore the association between circadian syndrome (CircS) and the prevalence of kidney stones in overweight people. MATERIALS AND METHODS A cross-sectional analysis was conducted based on the NHANES 2007-2018. Overweight people aged ≥ 20 years were the target population. Three multivariable logistic regression models were built to examine the association between CircS and kidney stones. Subgroup analysis based on age, gender, and race were also employed. Interaction and stratification analysis was also conducted to identify whether some factors modify the association. RESULT A total of 4,603 overweight participants were included in the study. The multivariable logistic regression suggested that CircS was positively associated with the prevalence of kidney stones (OR = 1.422, 95% CI 1.057 to 1.912). The subgroup analysis showed that the association was more obvious in females (OR = 1.604, 95% CI 1.023 to 2.516) or in the population aged 35 to 49 years old (OR = 2.739, 95% CI 1.428 to 5.254). Additionally, the same trend was present when people were Mexican American (OR = 3.834, 95% CI 1.790 to 8.215) or other races (OR = 4.925, 95% CI 1.776 to 13.656). The interaction and stratification analysis showed that the results above were robust. CONCLUSION CircS was positively associated with the prevalence of kidney stones in overweight people, especially people as females, aged 35 to 49, and Mexican Americans.
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Affiliation(s)
- Yunfei Xiao
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, P.R. China
| | - Shan Yin
- Department of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Yunjin Bai
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, P.R. China
| | - Zhenzhen Yang
- Department of Clinical Laboratory, Nanchong Central Hospital, Nanchong, China
| | - Jiahao Wang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, P.R. China
| | - Jianwei Cui
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, P.R. China
| | - Jia Wang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, P.R. China.
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Tan PY, Moore JB, Bai L, Tang G, Gong YY. In the context of the triple burden of malnutrition: A systematic review of gene-diet interactions and nutritional status. Crit Rev Food Sci Nutr 2022; 64:3235-3263. [PMID: 36222100 PMCID: PMC11000749 DOI: 10.1080/10408398.2022.2131727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Genetic background interacts with dietary components to modulate nutritional health status. This study aimed to review the evidence for gene-diet interactions in all forms of malnutrition. A comprehensive systematic literature search was conducted through April 2021 to identify observational and intervention studies reporting the effects of gene-diet interactions in over-nutrition, under-nutrition and micronutrient status. Risk of publication bias was assessed using the Quality Criteria Checklist and a tool specifically designed for gene-diet interaction research. 167 studies from 27 populations were included. The majority of studies investigated single nucleotide polymorphisms (SNPs) in overnutrition (n = 158). Diets rich in whole grains, vegetables, fruits and low in total and saturated fats, such as Mediterranean and DASH diets, showed promising effects for reducing obesity risk among individuals who had higher genetic risk scores for obesity, particularly the risk alleles carriers of FTO rs9939609, rs1121980 and rs1421085. Other SNPs in MC4R, PPARG and APOA5 genes were also commonly studied for interaction with diet on overnutrition though findings were inconclusive. Only limited data were found related to undernutrition (n = 1) and micronutrient status (n = 9). The findings on gene-diet interactions in this review highlight the importance of personalized nutrition, and more research on undernutrition and micronutrient status is warranted.
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Affiliation(s)
- Pui Yee Tan
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
| | - J. Bernadette Moore
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
| | - Ling Bai
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
- School of Psychology, University of East Anglia, Norwich, United Kingdom
| | - GuYuan Tang
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
| | - Yun Yun Gong
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
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Single-nucleotide polymorphisms in medical nutritional weight loss: Challenges and future directions. J Transl Int Med 2022; 10:1-4. [PMID: 35702183 PMCID: PMC8997798 DOI: 10.2478/jtim-2022-0002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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10
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Gkouskou KK, Grammatikopoulou MG, Lazou E, Sanoudou D, Goulis DG, Eliopoulos AG. Genetically-Guided Medical Nutrition Therapy in Type 2 Diabetes Mellitus and Pre-diabetes: A Series of n-of-1 Superiority Trials. Front Nutr 2022; 9:772243. [PMID: 35265654 PMCID: PMC8899711 DOI: 10.3389/fnut.2022.772243] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 01/12/2022] [Indexed: 12/12/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a heterogeneous metabolic disorder of multifactorial etiology that includes genetic and dietary influences. By addressing the latter, medical nutrition therapy (MNT) contributes to the management of T2DM or pre-diabetes toward achieving glycaemic control and improved insulin sensitivity. However, the clinical outcomes of MNT vary and may further benefit from personalized nutritional plans that take into consideration genetic variations associated with individual responses to macronutrients. The aim of the present series of n-of-1 trials was to assess the effects of genetically-guided vs. conventional MNT on patients with pre-diabetes or T2DM. A quasi-experimental, cross-over design was adopted in three Caucasian adult men with either diagnosis. Complete diet, bioclinical and anthropometric assessment was performed and a conventional MNT, based on the clinical practice guidelines was applied for 8 weeks. After a week of “wash-out,” a precision MNT was prescribed for an additional 8-week period, based on the genetic characteristics of each patient. Outcomes of interest included changes in body weight (BW), fasting plasma glucose (FPG), and blood pressure (BP). Collectively, the trials indicated improvements in BW, FPG, BP, and glycosylated hemoglobin (HbA1c) following the genetically-guided precision MNT intervention. Moreover, both patients with pre-diabetes experienced remission of the condition. We conclude that improved BW loss and glycemic control can be achieved in patients with pre-diabetes/T2DM, by coupling MNT to their genetic makeup, guiding optimal diet, macronutrient composition, exercise and oral nutrient supplementation in a personalized manner.
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Affiliation(s)
- Kalliopi K Gkouskou
- Department of Biology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Embiodiagnostics Biology Research Company, Heraklion, Greece
| | - Maria G Grammatikopoulou
- Unit of Reproductive Endocrinology, First Department of Obstetrics and Gynecology, Faculty of Health Sciences, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece.,Department of Nutritional Sciences and Dietetics, Faculty of Health Sciences, International Hellenic University, Thessaloniki, Greece
| | - Evgenia Lazou
- Department of Biology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Despina Sanoudou
- Clinical Genomics and Pharmacogenomics Unit, Fourth Department of Internal Medicine, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Center of Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Dimitrios G Goulis
- Unit of Reproductive Endocrinology, First Department of Obstetrics and Gynecology, Faculty of Health Sciences, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Aristides G Eliopoulos
- Department of Biology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Center of Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
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Nikolaev G, Robeva R, Konakchieva R. Membrane Melatonin Receptors Activated Cell Signaling in Physiology and Disease. Int J Mol Sci 2021; 23:ijms23010471. [PMID: 35008896 PMCID: PMC8745360 DOI: 10.3390/ijms23010471] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 12/28/2021] [Accepted: 12/29/2021] [Indexed: 02/07/2023] Open
Abstract
The pineal hormone melatonin has attracted great scientific interest since its discovery in 1958. Despite the enormous number of basic and clinical studies the exact role of melatonin in respect to human physiology remains elusive. In humans, two high-affinity receptors for melatonin, MT1 and MT2, belonging to the family of G protein-coupled receptors (GPCRs) have been cloned and identified. The two receptor types activate Gi proteins and MT2 couples additionally to Gq proteins to modulate intracellular events. The individual effects of MT1 and MT2 receptor activation in a variety of cells are complemented by their ability to form homo- and heterodimers, the functional relevance of which is yet to be confirmed. Recently, several melatonin receptor genetic polymorphisms were discovered and implicated in pathology-for instance in type 2 diabetes, autoimmune disease, and cancer. The circadian patterns of melatonin secretion, its pleiotropic effects depending on cell type and condition, and the already demonstrated cross-talks of melatonin receptors with other signal transduction pathways further contribute to the perplexity of research on the role of the pineal hormone in humans. In this review we try to summarize the current knowledge on the membrane melatonin receptor activated cell signaling in physiology and pathology and their relevance to certain disease conditions including cancer.
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Affiliation(s)
- Georgi Nikolaev
- Faculty of Biology, Sofia University “St. Kliment Ohridski”, 1504 Sofia, Bulgaria;
- Correspondence:
| | - Ralitsa Robeva
- Department of Endocrinology, Faculty of Medicine, Medical University, 1431 Sofia, Bulgaria;
| | - Rossitza Konakchieva
- Faculty of Biology, Sofia University “St. Kliment Ohridski”, 1504 Sofia, Bulgaria;
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12
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Luo B, Zhou X, Tang Q, Yin Y, Feng G, Li S, Chen L. Circadian rhythms affect bone reconstruction by regulating bone energy metabolism. J Transl Med 2021; 19:410. [PMID: 34579752 PMCID: PMC8477514 DOI: 10.1186/s12967-021-03068-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 09/02/2021] [Indexed: 01/02/2023] Open
Abstract
Metabolism is one of the most complex cellular biochemical reactions, providing energy and substances for basic activities such as cell growth and proliferation. Early studies have shown that glucose is an important nutrient in osteoblasts. In addition, amino acid metabolism and fat metabolism also play important roles in bone reconstruction. Mammalian circadian clocks regulate the circadian cycles of various physiological functions. In vertebrates, circadian rhythms are mediated by a set of central clock genes: muscle and brain ARNT like-1 (Bmal1), muscle and brain ARNT like-2 (Bmal2), circadian rhythmic motion output cycle stagnates (Clock), cryptochrome 1 (Cry1), cryptochrome2 (Cry2), period 1 (Per1), period 2 (Per2), period 3 (Per3) and neuronal PAS domain protein 2 (Npas2). Negative feedback loops, controlled at both the transcriptional and posttranslational levels, adjust these clock genes in a diurnal manner. According to the results of studies on circadian transcriptomic studies in several tissues, most rhythmic genes are expressed in a tissue-specific manner and are affected by tissue-specific circadian rhythms. The circadian rhythm regulates several activities, including energy metabolism, feeding time, sleeping, and endocrine and immune functions. It has been reported that the circadian rhythms of mammals are closely related to bone metabolism. In this review, we discuss the regulation of the circadian rhythm/circadian clock gene in osteoblasts/osteoclasts and the energy metabolism of bone, and the relationship between circadian rhythm, bone remodeling, and energy metabolism. We also discuss the therapeutic potential of regulating circadian rhythms or changing energy metabolism on bone development/bone regeneration.
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Affiliation(s)
- Beibei Luo
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, 430022, China
| | - Xin Zhou
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, 430022, China
| | - Qingming Tang
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, 430022, China
| | - Ying Yin
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, 430022, China
| | - Guangxia Feng
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, 430022, China
| | - Shue Li
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. .,School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. .,Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, 430022, China.
| | - Lili Chen
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. .,School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. .,Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, 430022, China.
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13
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Ramos-Lopez O, Milton-Laskibar I, Martínez JA. Precision nutrition based on phenotypical traits and the (epi)genotype: nutrigenetic and nutrigenomic approaches for obesity care. Curr Opin Clin Nutr Metab Care 2021; 24:315-325. [PMID: 33859118 DOI: 10.1097/mco.0000000000000754] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
PURPOSE OF REVIEW The purpose of this article is to rationally review and critically appraise the current knowledge in the most relevant nongenetic and genetic factors influencing obesity predisposition. This information may be translated into the implementation of personalized nutrition approaches involving precision nutrigenetic and nutrigenomic strategies for obesity monitoring and weight management. RECENT FINDINGS The importance and influence of several nongenetic contributors to obesity onset and individual responses to weight-loss interventions have been highlighted including the role of age, sex or perinatal feeding and others related to an individual's lifestyle and modifiable. Nutrigenetic studies have analysed potential interactions between polymorphisms influencing energy homeostasis/body composition and dietary factors in relation to adiposity phenotypes and therapy responsiveness. A second approach comprises the Nutrigenomic analysis of gene expression modifications in response to the consumption of specific nutrients or dietary bioactive compounds, which may involve epigenetic mechanisms including deoxyribonucleic acid methylation and micro-ribonucleic acid expression profiles. SUMMARY Taken together, these findings encompass the importance of taking into account up-to-date advances in Nutrigenetic and Nutrigenomic hallmarks, globally analysing the risk of weight gain and related outcomes after following nutrition counselling, this contributing to improve obesity care considering phenotypical traits and the genetic make-up for precision obesity care.
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Affiliation(s)
- Omar Ramos-Lopez
- Medicine and Psychology School, Autonomous University of Baja California, Tijuana, Baja California, Mexico
| | - Iñaki Milton-Laskibar
- Precision Nutrition and Cardiometabolic Health, IMDEA- Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM + CSIC, Spanish National Research Council
- CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III (ISCIII), Madrid
| | - J Alfredo Martínez
- Precision Nutrition and Cardiometabolic Health, IMDEA- Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM + CSIC, Spanish National Research Council
- CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III (ISCIII), Madrid
- Navarra Institute for Health Research (IdiSNa), Pamplona, Spain
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14
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Mazzoccoli G, Kvetnoy I, Mironova E, Yablonskiy P, Sokolovich E, Krylova J, Carbone A, Anderson G, Polyakova V. The melatonergic pathway and its interactions in modulating respiratory system disorders. Biomed Pharmacother 2021; 137:111397. [PMID: 33761613 DOI: 10.1016/j.biopha.2021.111397] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 02/09/2021] [Accepted: 02/10/2021] [Indexed: 02/08/2023] Open
Abstract
Melatonin is a key intracellular neuroimmune-endocrine regulator and coordinator of multiple complex and interrelated biological processes. The main functions of melatonin include the regulation of neuroendocrine and antioxidant system activity, blood pressure, rhythms of the sleep-wake cycle, the retardation of ageing processes, as well as reseting and optimizing mitochondria and thereby the cells of the immune system. Melatonin and its agonists have therefore been mooted as a treatment option across a wide array of medical disorders. This article reviews the role of melatonin in the regulation of respiratory system functions under normal and pathological conditions. Melatonin can normalize the structural and functional organization of damaged lung tissues, by a number of mechanisms, including the regulation of signaling molecules, oxidant status, lipid raft function, optimized mitochondrial function and reseting of the immune response over the circadian rhythm. Consequently, melatonin has potential clinical utility for bronchial asthma, chronic obstructive pulmonary disease, lung cancer, lung vascular diseases, as well as pulmonary and viral infections. The integration of melatonin's effects with the alpha 7 nicotinic receptor and the aryl hydrocarbon receptor in the regulation of mitochondrial function are proposed as a wider framework for understanding the role of melatonin across a wide array of diverse pulmonary disorders.
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Affiliation(s)
- Gianluigi Mazzoccoli
- Department of Medical Sciences, Division of Internal Medicine and Chronobiology Laboratory, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo 71013, Italy.
| | - Igor Kvetnoy
- Saint Petersburg Institute of Phthisiopulmonology, Lygovsky Ave. 2-4, Saint Petersburg 191036, Russian Federation; Department of Pathology, Saint Petersburg State University, University Embankment, 7/9, Saint Petersburg 199034, Russian Federation
| | - Ekaterina Mironova
- Saint Petersburg Institute of Bioregulation and Gerontology, Dynamo Ave., 3, Saint Petersburg 197110, Russian Federation
| | - Petr Yablonskiy
- Saint Petersburg Institute of Phthisiopulmonology, Lygovsky Ave. 2-4, Saint Petersburg 191036, Russian Federation
| | - Evgenii Sokolovich
- Saint Petersburg Institute of Phthisiopulmonology, Lygovsky Ave. 2-4, Saint Petersburg 191036, Russian Federation
| | - Julia Krylova
- Saint Petersburg Institute of Phthisiopulmonology, Lygovsky Ave. 2-4, Saint Petersburg 191036, Russian Federation; Pavlov First Saint Petersburg State Medical University, Lev Tolstoy str. 6-8, Saint Petersburg 197022, Russian Federation
| | - Annalucia Carbone
- Department of Medical Sciences, Division of Internal Medicine and Chronobiology Laboratory, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo 71013, Italy
| | | | - Victoria Polyakova
- Saint Petersburg Institute of Phthisiopulmonology, Lygovsky Ave. 2-4, Saint Petersburg 191036, Russian Federation; St. Petersburg State Pediatric Medical University, Litovskaia str. 2, Saint-Petersburg 194100, Russian Federation
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15
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Ramirez AVG, Filho DR, de Sá LBPC. Melatonin and its Relationships with Diabetes and Obesity: A Literature Review. Curr Diabetes Rev 2021; 17:e072620184137. [PMID: 32718296 DOI: 10.2174/1573399816666200727102357] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 07/13/2020] [Accepted: 07/15/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Obesity is an important clinical entity, causing many public health issues. Around two billion people in the world are overweight and obese. Almost 40% of American adults are obese and Brazil has about 18 million obese people. Nowadays, 415 million people have diabetes, around 1 in every 11 adults. These numbers will rise to 650 million people within 20 years. Melatonin shows a positive profile on the regulation of the metabolism of the human body. OBJECTIVE This study aimed to carry out a broad narrative review of the metabolic profile and associations between melatonin, diabetes and obesity. METHODS Article reviews, systematic reviews, prospective studies, retrospective studies, randomized, double-blind, and placebo-controlled trials in humans recently published were selected and analyzed. A total of 368 articles were collated and submitted to the eligibility analysis. Subsequently, 215 studies were selected to compose the content part of the paper, and 153 studies composed the narrative review. RESULTS Studies suggest a possible role of melatonin in metabolic diseases such as obesity, T2DM and metabolic syndrome. Intervention studies using this hormone in metabolic diseases are still unclear regarding the possible benefit of it. There is so far no consensus about the possible role of melatonin as an adjuvant in the treatment of metabolic diseases. More studies are necessary to define possible risks and benefits of melatonin as a therapeutic agent.
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Affiliation(s)
- Ana V G Ramirez
- Clinic Ana Valeria (CAV)- Clinic of Nutrition and Health Science, Street Antônio José Martins Filho, 300, Sao Jose do Rio Preto SP, 15092-230, Brazil
| | - Durval R Filho
- Associacao Brasileira de Nutrologia (ABRAN)/Brazilian Association of Nutrology, Catanduva/SP, Rua Belo Horizonte, 909 - Centro, Catanduva SP, Brazil
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16
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Dent R, McPherson R, Harper ME. Factors affecting weight loss variability in obesity. Metabolism 2020; 113:154388. [PMID: 33035570 DOI: 10.1016/j.metabol.2020.154388] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 09/19/2020] [Accepted: 09/23/2020] [Indexed: 12/25/2022]
Abstract
Current obesity treatment strategies include diet, exercise, bariatric surgery, and a limited but growing repertoire of medications. Individual weight loss in response to each of these strategies is highly variable. Here we review research into factors potentially contributing to inter-individual variability in response to treatments for obesity, with a focus on studies in humans. Well-recognized factors associated with weight loss capacity include diet adherence, physical activity, sex, age, and specific medications. However, following control for each of these, differences in weight loss appear to persist in response to behavioral, pharmacological and surgical interventions. Adaptation to energy deficit involves complex feedback mechanisms, and inter-individual differences likely to arise from a host of poorly defined genetic factors, as well as differential responses in neurohormonal mechanisms (including gastrointestinal peptides), metabolic efficiency and capacity of tissues, non-exercise activity thermogenesis, thermogenic response to food, and in gut microbiome. A better understanding of the factors involved in inter-individual variability in response to therapies will guide more personalized approaches to the treatment of obesity.
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Affiliation(s)
- Robert Dent
- Department of Medicine, Division of Endocrinology and The Ottawa Hospital, University of Ottawa, 210 Melrose Ave, Ottawa, ON K1Y 4K7, Canada
| | - Ruth McPherson
- Atherogenomics Laboratory, Division of Cardiology, University of Ottawa Heart Institute, 40 Ruskin St., Ottawa, ON K1Y 4W7, Canada
| | - Mary-Ellen Harper
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, Ottawa Institute of Systems Biology, University of Ottawa, 451 Smyth Rd., Ottawa, ON K1H 8M5, Canada.
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17
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Li Y, Ma J, Yao K, Su W, Tan B, Wu X, Huang X, Li T, Yin Y, Tosini G, Yin J. Circadian rhythms and obesity: Timekeeping governs lipid metabolism. J Pineal Res 2020; 69:e12682. [PMID: 32656907 DOI: 10.1111/jpi.12682] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 07/02/2020] [Accepted: 07/07/2020] [Indexed: 12/29/2022]
Abstract
Almost all living organisms have evolved autoregulatory transcriptional-translational feedback loops that produce oscillations with a period of approximately 24-h. These endogenous time keeping mechanisms are called circadian clocks. The main function of these circadian clocks is to drive overt circadian rhythms in the physiology of the organisms to ensure that main physiological functions are in synchrony with the external environment. Disruption of circadian rhythms caused by genetic or environmental factors has long-term consequences for metabolic health. Of relevance, host circadian rhythmicity and lipid metabolism are increasingly recognized to cross-regulate and the circadian clock-lipid metabolism interplay may involve in the development of obesity. Multiple systemic and molecular mechanisms, such as hormones (ie, melatonin, leptin, and glucocorticoid), the gut microbiome, and energy metabolism, link the circadian clock and lipid metabolism, and predictably, the deregulation of circadian clock-lipid metabolism interplay can increase the risk of obesity, which in turn may exacerbate circadian disorganization. Feeding time and dietary nutrients are two of key environmental Zeitgebers affecting the circadian rhythm-lipid metabolism interplay, and the influencing mechanisms in obesity development are highlighted in this review. Together, the characterization of the clock machinery in lipid metabolism aimed at producing a healthy circadian lifestyle may improve obesity care.
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Affiliation(s)
- Yuying Li
- Animal Nutritional Genome and Germplasm Innovation Research Center, College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jie Ma
- Animal Nutritional Genome and Germplasm Innovation Research Center, College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Kang Yao
- Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
| | - Wenxuan Su
- Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Bie Tan
- Animal Nutritional Genome and Germplasm Innovation Research Center, College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Xin Wu
- Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
| | - Xingguo Huang
- Animal Nutritional Genome and Germplasm Innovation Research Center, College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Tiejun Li
- Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
| | - Yulong Yin
- Animal Nutritional Genome and Germplasm Innovation Research Center, College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
| | - Gianluca Tosini
- Department of Pharmacology and Toxicology and Neuroscience Institute, Morehouse School of Medicine, Atlanta, GA, USA
| | - Jie Yin
- Animal Nutritional Genome and Germplasm Innovation Research Center, College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
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18
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Bayer S, Winkler V, Hauner H, Holzapfel C. Associations between Genotype-Diet Interactions and Weight Loss-A Systematic Review. Nutrients 2020; 12:E2891. [PMID: 32971836 PMCID: PMC7551578 DOI: 10.3390/nu12092891] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 09/17/2020] [Accepted: 09/18/2020] [Indexed: 02/07/2023] Open
Abstract
Studies on the interactions between single nucleotide polymorphisms (SNPs) and macronutrient consumption on weight loss are rare and heterogeneous. This review aimed to conduct a systematic literature search to investigate genotype-diet interactions on weight loss. Four databases were searched with keywords on genetics, nutrition, and weight loss (PROSPERO: CRD42019139571). Articles in languages other than English and trials investigating special groups (e.g., pregnant women, people with severe diseases) were excluded. In total, 20,542 articles were identified, and, after removal of duplicates and further screening steps, 27 articles were included. Eligible articles were based on eight trials with 91 SNPs in 63 genetic loci. All articles examined the interaction between genotype and macronutrients (carbohydrates, fat, protein) on the extent of weight loss. However, in most cases, the interaction results were not significant and represented single findings that lack replication. The publications most frequently analyzed genotype-fat intake interaction on weight loss. Since the majority of interactions were not significant and not replicated, a final evaluation of the genotype-diet interactions on weight loss was not possible. In conclusion, no evidence was found that genotype-diet interaction is a main determinant of obesity treatment success, but this needs to be addressed in future studies.
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Affiliation(s)
- Sandra Bayer
- Institute for Nutritional Medicine, University Hospital Klinikum rechts der Isar, School of Medicine, Technical University of Munich, 80992 Munich, Germany; (S.B.); (V.W.); (H.H.)
| | - Vincent Winkler
- Institute for Nutritional Medicine, University Hospital Klinikum rechts der Isar, School of Medicine, Technical University of Munich, 80992 Munich, Germany; (S.B.); (V.W.); (H.H.)
| | - Hans Hauner
- Institute for Nutritional Medicine, University Hospital Klinikum rechts der Isar, School of Medicine, Technical University of Munich, 80992 Munich, Germany; (S.B.); (V.W.); (H.H.)
- Else Kröner-Fresenius-Center for Nutritional Medicine, School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
| | - Christina Holzapfel
- Institute for Nutritional Medicine, University Hospital Klinikum rechts der Isar, School of Medicine, Technical University of Munich, 80992 Munich, Germany; (S.B.); (V.W.); (H.H.)
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19
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Liang Z, Liu H, Wang L, Chen Y, Zhou T, Heianza Y, Li W, Leng J, Wang J, Gao R, Hu G, Qi L. Maternal MTNR1B genotype, maternal gestational weight gain, and childhood obesity. Am J Clin Nutr 2020; 111:360-368. [PMID: 31826236 PMCID: PMC6997086 DOI: 10.1093/ajcn/nqz296] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Accepted: 11/05/2019] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Maternal metabolic abnormalities have been related to offspring obesity especially during childhood. OBJECTIVES We analyzed whether the gestational diabetes mellitus (GDM)-associated melatonin receptor 1B (MTNR1B) genotype of mothers modified the relation between maternal gestational weight gain and childhood obesity. METHODS A total of 1114 Chinese mother-child pairs (mothers with or without prior GDM) were included. Mothers' MTNR1B rs10830962 genotype and gestational weight gain were assessed. Indicators of childhood obesity included BMI-for-age z-score, weight-for-age z-score, waist circumference, and body fat. Childhood overweight and obesity were also analyzed. RESULTS We found that the maternal MTNR1B genotype significantly interacted with gestational weight gain on indicators of offspring's obesity (all P for interaction < 0.05). After multivariable adjustment, BMI-for-age z-scores associated with 1-kg gestational weight gain were 0.009 (SE 0.018), 0.026 (SE 0.010), and 0.061 (SE 0.010) in children with the maternal MTNR1B genotype CC, CG, and GG, respectively (P-interaction = 0.012). Similar interactions were observed for weight-for-age z-score, waist circumference, and body fat (P-interaction = 0.001, 0.003, and 0.012, respectively). The associations remained consistently significant in women with and without GDM. We also found significant interactions between the maternal MTNR1B genotype and gestational weight gain on the offspring's childhood overweight and obesity (P-interaction = 0.005 and 0.026, respectively). CONCLUSIONS The maternal MTNR1B genotype might interact with gestational weight gain on offspring's obesity risk during childhood.
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Affiliation(s)
- Zhaoxia Liang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, PR China
| | - Huikun Liu
- Tianjin Women's and Children's Health Center, Tianjin, PR China
| | - Leishen Wang
- Tianjin Women's and Children's Health Center, Tianjin, PR China
| | - Yuhang Chen
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Department of Public Health Laboratory Sciences, West China School of Public Health, Sichuan University, Chengdu, Sichuan Province, PR China
| | - Tao Zhou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Weiqin Li
- Tianjin Women's and Children's Health Center, Tianjin, PR China
| | - Junhong Leng
- Tianjin Women's and Children's Health Center, Tianjin, PR China
| | - Jing Wang
- Tianjin Women's and Children's Health Center, Tianjin, PR China
| | - Ru Gao
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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20
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Ramos-Lopez O, Cuervo M, Goni L, Milagro FI, Riezu-Boj JI, Martinez JA. Modeling of an integrative prototype based on genetic, phenotypic, and environmental information for personalized prescription of energy-restricted diets in overweight/obese subjects. Am J Clin Nutr 2020; 111:459-470. [PMID: 31751449 DOI: 10.1093/ajcn/nqz286] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 10/25/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Interindividual variability in weight loss and metabolic responses depends upon interactions between genetic, phenotypic, and environmental factors. OBJECTIVE We aimed to model an integrative (nutri) prototype based on genetic, phenotypic, and environmental information for the personalized prescription of energy-restricted diets with different macronutrient distribution. METHODS A 4-mo nutritional intervention was conducted in 305 overweight/obese volunteers involving 2 energy-restricted diets (30% restriction) with different macronutrient distribution: a moderately high-protein (MHP) diet (30% proteins, 30% lipids, and 40% carbohydrates) and a low-fat (LF) diet (22% lipids, 18% proteins, and 60% carbohydrates). A total of 201 subjects with good dietary adherence were genotyped for 95 single nucleotide polymorphisms (SNPs) related to energy homeostasis. Genotyping was performed by targeted next-generation sequencing. Two weighted genetic risk scores for the MHP (wGRS1) and LF (wGRS2) diets were computed using statistically relevant SNPs. Multiple linear regression models were performed to estimate percentage BMI decrease depending on the dietary macronutrient composition. RESULTS After energy restriction, both the MHP and LF diets induced similar significant decreases in adiposity, body composition, and blood pressure, and improved the lipid profile. Furthermore, statistically relevant differences in anthropometric and biochemical markers depending on sex and age were found. BMI decrease in the MHP diet was best predicted at ∼28% (optimism-corrected adjusted R2 = 0.279) by wGRS1 and age, whereas wGRS2 and baseline energy intake explained ∼29% (optimism-corrected adjusted R2 = 0.287) of BMI decrease variability in the LF diet. The incorporation of these predictive models into a decision algorithm allowed the personalized prescription of the MHP and LF diets. CONCLUSIONS Different genetic, phenotypic, and exogenous factors predict BMI decreases depending on the administration of a hypocaloric MHP diet or an LF diet. This holistic approach may help to personalize dietary advice for the management of excessive body weight using precision nutrition variables.This trial was registered at clinicaltrials.gov as NCT02737267.
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Affiliation(s)
- Omar Ramos-Lopez
- Department of Nutrition, Food Science, and Physiology, and Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Faculty of Medicine and Psychology, Autonomous University of Baja California, Tijuana, Mexico
| | - Marta Cuervo
- Department of Nutrition, Food Science, and Physiology, and Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Navarra Institute for Health Research, Pamplona, Spain.,Biomedical Research Center Network in Physiopathology of Obesity and Nutrition (CIBERobn), Carlos III Health Institute, Madrid, Spain
| | - Leticia Goni
- Department of Nutrition, Food Science, and Physiology, and Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Fermin I Milagro
- Department of Nutrition, Food Science, and Physiology, and Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Biomedical Research Center Network in Physiopathology of Obesity and Nutrition (CIBERobn), Carlos III Health Institute, Madrid, Spain
| | - Jose I Riezu-Boj
- Department of Nutrition, Food Science, and Physiology, and Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Navarra Institute for Health Research, Pamplona, Spain
| | - J Alfredo Martinez
- Department of Nutrition, Food Science, and Physiology, and Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Navarra Institute for Health Research, Pamplona, Spain.,Biomedical Research Center Network in Physiopathology of Obesity and Nutrition (CIBERobn), Carlos III Health Institute, Madrid, Spain
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21
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Wang Y, Guo W, Xu H, Tang K, Zan L, Yang W. Melatonin suppresses milk fat synthesis by inhibiting the mTOR signaling pathway via the MT1 receptor in bovine mammary epithelial cells. J Pineal Res 2019; 67:e12593. [PMID: 31278759 DOI: 10.1111/jpi.12593] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 06/30/2019] [Accepted: 07/01/2019] [Indexed: 01/13/2023]
Abstract
Milk fat content is an important criterion for assessing milk quality and is one of the main target traits of dairy cattle breeding. Recent studies have shown the importance of melatonin in regulating lipid metabolism, but the potential effects of melatonin on milk fat synthesis in bovine mammary epithelial cells (BMECs) remain unclear. Here, we showed that melatonin supplementation at 10 μmol/L significantly downregulated the mRNA expression of lipid metabolism-related genes and resulted in lower lipid droplet formation and triglyceride accumulation. Moreover, melatonin significantly upregulated melatonin receptor subtype melatonin receptor 1a (MT1) gene expression, and the negative effects of melatonin on milk fat synthesis were reversed by treatment with the nonselective MT1/melatonin receptor subtype melatonin receptor 1b (MT2) antagonist. However, a selective MT2 antagonist did not modify the negative effects of melatonin on milk fat synthesis. In addition, KEGG analysis revealed that melatonin inhibition of milk fat synthesis may occur via the mTOR signaling pathway. Further analysis revealed that melatonin significantly suppressed the activation of the mTOR pathway by restricting the phosphorylation of mTOR, 4E-BP1, and p70S6K, and the inhibition of melatonin on milk fat synthesis was reversed by mTOR activator MHY1485 in BMECs. Furthermore, in vivo experiments in Holstein dairy cows showed that exogenous melatonin significantly decreased milk fat concentration. Our data from in vitro and in vivo studies revealed that melatonin suppresses milk fat synthesis by inhibiting the mTOR signaling pathway via the MT1 receptor in BMECs. These findings lay a foundation to identify a new potential means for melatonin to modulate the fat content of raw milk in Holstein dairy cows.
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Affiliation(s)
- Yujuan Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
- The Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Wenli Guo
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Haichao Xu
- College of Animal Science and Technology, Shandong Agricultural University, Taian, China
| | - Keqiong Tang
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, China
| | - Linsen Zan
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
- The Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Wucai Yang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
- The Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
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22
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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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23
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Gene-Environment Interactions on Body Fat Distribution. Int J Mol Sci 2019; 20:ijms20153690. [PMID: 31357654 PMCID: PMC6696304 DOI: 10.3390/ijms20153690] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 07/18/2019] [Accepted: 07/19/2019] [Indexed: 02/08/2023] Open
Abstract
The prevalence of obesity has been increasing markedly in the U.S. and worldwide in the past decades; and notably, the obese populations are signified by not only the overall elevated adiposity but also particularly harmful accumulation of body fat in the central region of the body, namely, abdominal obesity. The profound shift from “traditional” to “obesogenic” environments, principally featured by the abundance of palatable, energy-dense diet, reduced physical activity, and prolonged sedentary time, promotes the obesity epidemics and detrimental body fat distribution. Recent advances in genomics studies shed light on the genetic basis of obesity and body fat distribution. In addition, growing evidence from investigations in large cohorts and clinical trials has lent support to interactions between genetic variations and environmental factors, e.g., diet and lifestyle factors, in relation to obesity and body fat distribution. This review summarizes the recent discoveries from observational studies and randomized clinical trials on the gene–environment interactions on obesity and body fat distribution.
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24
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Abstract
Despite considerable advances in the past few years, obesity and type 2 diabetes mellitus (T2DM) remain two major challenges for public health systems globally. In the past 9 years, genome-wide association studies (GWAS) have established a major role for genetic variation within the MTNR1B locus in regulating fasting plasma levels of glucose and in affecting the risk of T2DM. This discovery generated a major interest in the melatonergic system, in particular the melatonin MT2 receptor (which is encoded by MTNR1B). In this Review, we discuss the effect of melatonin and its receptors on glucose homeostasis, obesity and T2DM. Preclinical and clinical post-GWAS evidence of frequent and rare variants of the MTNR1B locus confirmed its importance in regulating glucose homeostasis and T2DM risk with minor effects on obesity. However, these studies did not solve the question of whether melatonin is beneficial or detrimental, an issue that will be discussed in the context of the peculiarities of the melatonergic system. Melatonin receptors might have therapeutic potential as they belong to the highly druggable G protein-coupled receptor superfamily. Clarifying the precise role of melatonin and its receptors on glucose homeostasis is urgent, as melatonin is widely used for other indications, either as a prescribed medication or as a supplement without medical prescription, in many countries in Europe and in the USA.
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Affiliation(s)
- Angeliki Karamitri
- Inserm, U1016, Institut Cochin, Paris, France
- CNRS UMR 8104, Paris, France
- Université Paris Descartes, Université Sorbonne Paris Cité, Paris, France
| | - Ralf Jockers
- Inserm, U1016, Institut Cochin, Paris, France.
- CNRS UMR 8104, Paris, France.
- Université Paris Descartes, Université Sorbonne Paris Cité, Paris, France.
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25
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Cipolla-Neto J, Amaral FGD. Melatonin as a Hormone: New Physiological and Clinical Insights. Endocr Rev 2018; 39:990-1028. [PMID: 30215696 DOI: 10.1210/er.2018-00084] [Citation(s) in RCA: 327] [Impact Index Per Article: 54.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Accepted: 06/21/2018] [Indexed: 02/07/2023]
Abstract
Melatonin is a ubiquitous molecule present in almost every live being from bacteria to humans. In vertebrates, besides being produced in peripheral tissues and acting as an autocrine and paracrine signal, melatonin is centrally synthetized by a neuroendocrine organ, the pineal gland. Independently of the considered species, pineal hormone melatonin is always produced during the night and its production and secretory episode duration are directly dependent on the length of the night. As its production is tightly linked to the light/dark cycle, melatonin main hormonal systemic integrative action is to coordinate behavioral and physiological adaptations to the environmental geophysical day and season. The circadian signal is dependent on its daily production regularity, on the contrast between day and night concentrations, and on specially developed ways of action. During its daily secretory episode, melatonin coordinates the night adaptive physiology through immediate effects and primes the day adaptive responses through prospective effects that will only appear at daytime, when melatonin is absent. Similarly, the annual history of the daily melatonin secretory episode duration primes the central nervous/endocrine system to the seasons to come. Remarkably, maternal melatonin programs the fetuses' behavior and physiology to cope with the environmental light/dark cycle and season after birth. These unique ways of action turn melatonin into a biological time-domain-acting molecule. The present review focuses on the above considerations, proposes a putative classification of clinical melatonin dysfunctions, and discusses general guidelines to the therapeutic use of melatonin.
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Affiliation(s)
- José Cipolla-Neto
- Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
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