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Yount ST, Wang S, Allen AT, Shapiro LP, Butkovich LM, Gourley SL. A molecularly defined orbitofrontal cortical neuron population controls compulsive-like behavior, but not inflexible choice or habit. Prog Neurobiol 2024; 238:102632. [PMID: 38821345 PMCID: PMC11332912 DOI: 10.1016/j.pneurobio.2024.102632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 04/11/2024] [Accepted: 05/20/2024] [Indexed: 06/02/2024]
Abstract
Habits are familiar behaviors triggered by cues, not outcome predictability, and are insensitive to changes in the environment. They are adaptive under many circumstances but can be considered antecedent to compulsions and intrusive thoughts that drive persistent, potentially maladaptive behavior. Whether compulsive-like and habit-like behaviors share neural substrates is still being determined. Here, we investigated mice bred to display inflexible reward-seeking behaviors that are insensitive to action consequences. We found that these mice demonstrate habitual response biases and compulsive-like grooming behavior that was reversible by fluoxetine and ketamine. They also suffer dendritic spine attrition on excitatory neurons in the orbitofrontal cortex (OFC). Nevertheless, synaptic melanocortin 4 receptor (MC4R), a factor implicated in compulsive behavior, is preserved, leading to the hypothesis that Mc4r+ OFC neurons may drive aberrant behaviors. Repeated chemogenetic stimulation of Mc4r+ OFC neurons triggered compulsive and not inflexible or habitual response biases in otherwise typical mice. Thus, Mc4r+ neurons within the OFC appear to drive compulsive-like behavior that is dissociable from habitual behavior. Understanding which neuron populations trigger distinct behaviors may advance efforts to mitigate harmful compulsions.
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Affiliation(s)
- Sophie T Yount
- Graduate Program in Molecular and Systems Pharmacology, USA; Emory National Primate Research Center, USA; Departments of Pediatrics and Psychiatry and Behavioral Sciences, Emory University School of Medicine, USA
| | - Silu Wang
- Emory National Primate Research Center, USA; Departments of Pediatrics and Psychiatry and Behavioral Sciences, Emory University School of Medicine, USA; Graduate Program in Neuroscience, Emory University, Atlanta, GA, USA
| | - Aylet T Allen
- Emory National Primate Research Center, USA; Departments of Pediatrics and Psychiatry and Behavioral Sciences, Emory University School of Medicine, USA
| | - Lauren P Shapiro
- Graduate Program in Molecular and Systems Pharmacology, USA; Emory National Primate Research Center, USA; Departments of Pediatrics and Psychiatry and Behavioral Sciences, Emory University School of Medicine, USA
| | - Laura M Butkovich
- Emory National Primate Research Center, USA; Departments of Pediatrics and Psychiatry and Behavioral Sciences, Emory University School of Medicine, USA
| | - Shannon L Gourley
- Graduate Program in Molecular and Systems Pharmacology, USA; Emory National Primate Research Center, USA; Departments of Pediatrics and Psychiatry and Behavioral Sciences, Emory University School of Medicine, USA; Graduate Program in Neuroscience, Emory University, Atlanta, GA, USA; Children's Healthcare of Atlanta, Atlanta, GA, USA.
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2
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Warrington JP, Collins HE, Davidge ST, do Carmo JM, Goulopoulou S, Intapad S, Loria AS, Sones JL, Wold LE, Zinkhan EK, Alexander BT. Guidelines for in vivo models of developmental programming of cardiovascular disease risk. Am J Physiol Heart Circ Physiol 2024; 327:H221-H241. [PMID: 38819382 PMCID: PMC11380980 DOI: 10.1152/ajpheart.00060.2024] [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: 01/31/2024] [Revised: 05/23/2024] [Accepted: 05/28/2024] [Indexed: 06/01/2024]
Abstract
Research using animals depends on the generation of offspring for use in experiments or for the maintenance of animal colonies. Although not considered by all, several different factors preceding and during pregnancy, as well as during lactation, can program various characteristics in the offspring. Here, we present the most common models of developmental programming of cardiovascular outcomes, important considerations for study design, and provide guidelines for producing and reporting rigorous and reproducible cardiovascular studies in offspring exposed to normal conditions or developmental insult. These guidelines provide considerations for the selection of the appropriate animal model and factors that should be reported to increase rigor and reproducibility while ensuring transparent reporting of methods and results.
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Grants
- 20YVNR35490079 American Heart Association (AHA)
- R01HL139348 HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- R01HL135158 HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- U54GM115428 HHS | NIH | National Institute of General Medical Sciences (NIGMS)
- R01AG057046 HHS | NIH | National Institute on Aging (NIA)
- P20 GM104357 NIGMS NIH HHS
- HL146562-04S1 HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- P30 GM149404 NIGMS NIH HHS
- P20GM104357 HHS | NIH | National Institute of General Medical Sciences (NIGMS)
- P01HL51971 HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- R01HL143459 HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- R01HL146562 HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- R01HL163003 HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- R01HL163818 HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- R01DK121411 HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
- R01HL147844 HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- Excellence Faculty Support Grant Jewish Heritage Fund
- P30GM149404 HHS | NIH | National Institute of General Medical Sciences (NIGMS)
- P30GM14940 HHS | NIH | National Institute of General Medical Sciences (NIGMS)
- P20GM121334 HHS | NIH | National Institute of General Medical Sciences (NIGMS)
- 23SFRNPCS1067044 American Heart Association (AHA)
- R01 HL146562 NHLBI NIH HHS
- R56HL159447 HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- P20GM135002 HHS | NIH | National Institute of General Medical Sciences (NIGMS)
- FS154313 CIHR
- U54 GM115428 NIGMS NIH HHS
- 1R01HL163076 HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI)
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Affiliation(s)
- Junie P Warrington
- Department of Neurology, University of Mississippi Medical Center, Jackson, Mississippi, United States
| | - Helen E Collins
- Division of Environmental Medicine, Department of Medicine, Center for Cardiometabolic Science, University of Louisville, Louisville, Kentucky, United States
| | - Sandra T Davidge
- Women and Children's Health Research Institute, University of Alberta, Edmonton, Alberta, Canada
| | - Jussara M do Carmo
- Department of Physiology, University of Mississippi Medical Center, Jackson, Mississippi, United States
| | - Styliani Goulopoulou
- Lawrence D. Longo, MD Center for Perinatal Biology, Department of Basic Sciences, Loma Linda University, Loma Linda, California, United States
- Department of Gynecology, and Obstetrics, Loma Linda University, Loma Linda, California, United States
| | - Suttira Intapad
- Department of Pharmacology, Tulane University, New Orleans, Louisiana, United States
| | - Analia S Loria
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, Kentucky, United States
| | - Jenny L Sones
- Equine Reproduction Laboratory, Department of Clinical Sciences, Colorado State University College of Veterinary Medicine and Biomedical Sciences, Fort Collins, Colorado, United States
| | - Loren E Wold
- Division of Cardiac Surgery, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States
| | - Erin K Zinkhan
- Department of Pediatrics, University of Utah and Intermountain Health, Salt Lake City, Utah, United States
- Intermountain Health, Salt Lake City, Utah, United States
| | - Barbara T Alexander
- Department of Physiology, University of Mississippi Medical Center, Jackson, Mississippi, United States
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3
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Huang T, Zhang X, Li Q, Li X, Yao J, Song J, Chen Y, Ye L, Li C, Xiran P, Wen Y. The Association between Obesity Susceptibility and Polymorphisms of MC4R, SH2B1, and NEGR1 in Tibetans. Genet Test Mol Biomarkers 2024; 28:267-274. [PMID: 39034913 DOI: 10.1089/gtmb.2023.0546] [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: 07/23/2024] Open
Abstract
Background: A high-altitude environment has inhibitory effects on obesity. Tibetans are not a high-risk population for obesity, but there are still obese individuals within that population. Obesity has become a worldwide health problem, and previous studies have found that obesity is closely associated with hereditary factors. Few studies have investigated obesity in Tibetans, and the association between gene polymorphisms and obesity in Tibetans remains unclear. Methods: Our study investigated the fat mass of 140 native Tibetan individuals (70 men and 70 women) from Lhasa and analyzed the associations between polymorphisms of melanocortin 4 receptor (MC4R), Src homology 2B adapter protein 1 (SH2B1), and neuronal growth regulator 1 (NEGR1) and obesity. Result: Among Tibetan individuals, there were differences in genotype and allele frequencies between those in the obesity group and those in the healthy group at MC4R (rs17782313) and SH2B1 (rs7359397). The polymorphisms of MC4R (rs17782313) were associated with fat mass and obesity in Tibetan men and women, and there was an association between SH2B1 (rs7359397) polymorphisms and fat mass and obesity in Tibetan men. However, polymorphisms of NEGR1 (rs3101336) were not associated with fat mass or obesity in Tibetan individuals. Conclusion: Among Tibetan individuals, polymorphisms of MC4R (rs17782313) and SH2B1 (rs7359397) were associated with obesity, but NEGR1 (rs3101336) polymorphisms were not associated with obesity.
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Affiliation(s)
- Ting Huang
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Xianpeng Zhang
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Qiang Li
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
- Department of Anatomy, Wuwei Occupational College, Wuwei, China
| | - Xin Li
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Jie Yao
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Jia Song
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Ying Chen
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Liping Ye
- Department of Radiology, Nagqu District People's Hospital, Nagqu, China
| | - Chunshan Li
- Department of Radiology, Nagqu District People's Hospital, Nagqu, China
| | - Pingcuo Xiran
- Maternal and Children Health Care Hospital of Ali District, Ali, China
| | - Youfeng Wen
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
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Xu H, Gupta S, Dinsmore I, Kollu A, Cawley AM, Anwar MY, Chen HH, Petty LE, Seshadri S, Graff M, Below P, Brody JA, Chittoor G, Fisher-Hoch SP, Heard-Costa NL, Levy D, Lin H, Loos RJF, Mccormick JB, Rotter JI, Mirshahi T, Still CD, Destefano A, Cupples LA, Mohlke KL, North KE, Justice AE, Liu CT. Integrating Genetic and Transcriptomic Data to Identify Genes Underlying Obesity Risk Loci. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.11.24308730. [PMID: 38903089 PMCID: PMC11188121 DOI: 10.1101/2024.06.11.24308730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
Genome-wide association studies (GWAS) have identified numerous body mass index (BMI) loci. However, most underlying mechanisms from risk locus to BMI remain unknown. Leveraging omics data through integrative analyses could provide more comprehensive views of biological pathways on BMI. We analyzed genotype and blood gene expression data in up to 5,619 samples from the Framingham Heart Study (FHS). Using 3,992 single nucleotide polymorphisms (SNPs) at 97 BMI loci and 20,692 transcripts within 1 Mb, we performed separate association analyses of transcript with BMI and SNP with transcript (PBMI and PSNP, respectively) and then a correlated meta-analysis between the full summary data sets (PMETA). We identified transcripts that met Bonferroni-corrected significance for each omic, were more significant in the correlated meta-analysis than each omic, and were at least nominally associated with BMI in FHS data. Among 308 significant SNP-transcript-BMI associations, we identified seven genes (NT5C2, GSTM3, SNAPC3, SPNS1, TMEM245, YPEL3, and ZNF646) in five association regions. Using an independent sample of blood gene expression data, we validated results for SNAPC3 and YPEL3. We tested for generalization of these associations in hypothalamus, nucleus accumbens, and liver and observed significant (PMETA<0.05 & PMETA
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Affiliation(s)
- Hanfei Xu
- Department of Biostatistics, School of Public Health, Boston University, 801 Massachusettes Ave, Boston, MA, 02118, USA
| | - Shreyash Gupta
- Department of Population Health Sciences, Geisinger, 100 N. Academy Ave., Danville, PA, 17822, USA
| | - Ian Dinsmore
- Department of Genomic Health, Geisinger, 100 N. Academy Ave., Danville, PA, 17822, USA
| | - Abbey Kollu
- Department of Psychology and Neuroscience, University of North Carolina, 235 E. Cameron Avenue, Chapel Hill, NC, 27599, USA
| | - Anne Marie Cawley
- Marsico Lung Institute, University of North Carolina, 125 Mason Farm Rd, Chapel Hill, NC, 27599, USA
| | - Mohammad Y. Anwar
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, 135 Dauer Drive, Chapel Hill, NC, 27599, USA
| | - Hung-Hsin Chen
- Institute of Biomedical Sciences, Academia Sinica, No. 128, Section 2, Academia Rd., Taipei, Nangang District, 115201, Taiwan
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, 1161 21st Ave S, Nashville, TN, 37232, USA
| | - Lauren E. Petty
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, 1161 21st Ave S, Nashville, TN, 37232, USA
| | - Sudha Seshadri
- Department of Biostatistics, School of Public Health, Boston University, 801 Massachusettes Ave, Boston, MA, 02118, USA
- Department of Neurology, School of Medicine, Boston University, 85 East Concord Street, Boston, MA, 02118, USA
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, UT Health San Antonio, 8300 Floyd Curl Drive, San Antonio, TX, 78229, USA
| | - Misa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, 135 Dauer Drive, Chapel Hill, NC, 27599, USA
| | - Piper Below
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, 1161 21st Ave S, Nashville, TN, 37232, USA
| | - Jennifer A. Brody
- Department of Medicine, Cardiovascular Health Research Unit, University of Washington, 1730 Minor Ave, Seattle, WA, 98101, USA
| | - Geetha Chittoor
- Department of Population Health Sciences, Geisinger, 100 N. Academy Ave., Danville, PA, 17822, USA
| | - Susan P. Fisher-Hoch
- Department of Epidemiology, School of Public Health, UT Health Houston, Regional Academic Health Center, One West University Blvd, Brownsville, TX, 78520, USA
| | - Nancy L. Heard-Costa
- Framingham Heart Study, 73 Mt Wayte Ave, Framingham, MA, 01702, USA
- Department of Neurology, Chobanian & Avedisian School of Medicine, Boston University, 72 E Concord St, Boston, MA, 02118, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute of the National Institutes of Health, 6701 Rockledge Drive, Bethesda, MD, 20892, USA
| | - Honghuang Lin
- Department of Medicine, University of Massachusetts Chan Medical School, 55 N Lake Ave, Worcester, MA, 01655, USA
| | - Ruth JF. Loos
- Charles Bronfman Institute for Personalized Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3A, 2200, Copenhagen, Denmark
| | - Joseph B. Mccormick
- Department of Epidemiology, School of Public Health, UT Health Houston, Regional Academic Health Center, One West University Blvd, Brownsville, TX, 78520, USA
| | - Jerome I. Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, 1124 West Carson Street, Torrance, CA, 90502, USA
| | - Tooraj Mirshahi
- Department of Genomic Health, Geisinger, 100 N. Academy Ave., Danville, PA, 17822, USA
| | - Christopher D. Still
- Center for Obesity and Metabolic Health, Geisinger, 100 N. Academy Ave., Danville, PA, 17822, USA
| | - Anita Destefano
- Department of Biostatistics, School of Public Health, Boston University, 801 Massachusettes Ave, Boston, MA, 02118, USA
- Department of Neurology, School of Medicine, Boston University, 85 East Concord Street, Boston, MA, 02118, USA
| | - L. Adrienne Cupples
- Department of Biostatistics, School of Public Health, Boston University, 801 Massachusettes Ave, Boston, MA, 02118, USA
| | - Karen L Mohlke
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Kari E. North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, 135 Dauer Drive, Chapel Hill, NC, 27599, USA
| | - Anne E. Justice
- Department of Population Health Sciences, Geisinger, 100 N. Academy Ave., Danville, PA, 17822, USA
| | - Ching-Ti Liu
- Department of Biostatistics, School of Public Health, Boston University, 801 Massachusettes Ave, Boston, MA, 02118, USA
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5
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Yang H, Huang Q, Yu H, Quan Z. Associations Between Obesity-Related Gene MC4R rs17782313 Locus Polymorphism and Components of Metabolic Syndrome: A Systematic Review and Meta-Analysis. Metab Syndr Relat Disord 2024; 22:241-250. [PMID: 38466981 DOI: 10.1089/met.2023.0221] [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: 03/13/2024] Open
Abstract
Objective: It is well established that melanocortin-4 receptor (MC4R) rs17782313 locus polymorphism is associated with increased obesity risk and that obesity is strongly associated with an enhanced risk of all metabolic syndrome (MS) components. Thus, in this study, we examined the association between the MC4R rs17782313 locus polymorphism and the risk of the remaining MS components, namely, diabetes, hypertension, low high-density lipoprotein (HDL), and hypertriglyceridemia. Methods: We performed an extensive literature screening across six scientific databases, namely, PubMed, Embase, Web of Science, Medline, ScienceDirect, CNKI, and WanFang employing a specific search strategy. Eligible studies were selected for inclusion in our meta-analysis, and odds ratio (OR) values and 95% confidence interval (CI) were computed through fixed- or random-effects models to examine correlation strength. In addition, we performed subgroup analyses involving adjustment factors (unadjusted body mass index [BMI], adjusted BMI), race (Caucasian, Asian), and source of controls (population, hospital). Results: Twenty-two eligible studies were selected from 846 articles, involving 28,018 patients and 98,994 normal participants. Based on this meta-analysis, the MC4R rs17782313 locus polymorphism was associated with an augmented risk of diabetes (allele contrast model T vs. C: OR = 1.05, 95% CI = 1.03-1.08; dominant model TT vs. TC + CC: OR = 1.07, 95% CI = 1.03-1.11) and hypertension (dominant model TT vs. TC + CC: OR = 1.16, 95% CI = 1.03-1.31) risk. However, based on this analysis, the MC4R rs17782313 locus polymorphism was not associated with low HDL and hypertriglyceridemia risk. Conclusions: Based on this analysis, the MC4R rs17782313 locus polymorphism is associated with enhanced risks of diabetes and hypertension, while the associations with low HDL and hypertriglyceridemia require further exploration.
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Affiliation(s)
- Huazhao Yang
- Department of Preventive Medicine, College of Medicine, Yanbian University, Yanji, Jilin, China
| | - Qingzhi Huang
- Department of Preventive Medicine, College of Medicine, Yanbian University, Yanji, Jilin, China
| | - Hana Yu
- Department of Preventive Medicine, College of Medicine, Yanbian University, Yanji, Jilin, China
| | - Zhenyu Quan
- Department of Preventive Medicine, College of Medicine, Yanbian University, Yanji, Jilin, China
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Codazzi V, Frontino G, Galimberti L, Giustina A, Petrelli A. Mechanisms and risk factors of metabolic syndrome in children and adolescents. Endocrine 2024; 84:16-28. [PMID: 38133765 PMCID: PMC10987369 DOI: 10.1007/s12020-023-03642-x] [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: 10/18/2023] [Accepted: 11/30/2023] [Indexed: 12/23/2023]
Abstract
Metabolic syndrome (MetS) is a complex disorder characterized by abdominal obesity, elevated blood pressure, hyperlipidemia, and elevated fasting blood glucose levels. The diagnostic criteria for MetS in adults are well-established, but there is currently no consensus on the definition in children and adolescents. The etiology of MetS is believed to involve a complex interplay between genetic predisposition and environmental factors. While genetic predisposition explains only a small part of MetS pathogenesis, modifiable environmental risk factors play a significant role. Factors such as maternal weight during pregnancy, children's lifestyle, sedentariness, high-fat diet, fructose and branched-chain amino acid consumption, vitamin D deficiency, and sleep disturbances contribute to the development of MetS. Early identification and treatment of MetS in children and adolescents is crucial to prevent the development of chronic diseases later in life. In this review we discuss the latest research on factors contributing to the pathogenesis of MetS in children, focusing on non-modifiable and modifiable risk factors, including genetics, dysbiosis and chronic low-grade inflammation.
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Gravina AG, Panarese I, Trotta MC, D'Amico M, Pellegrino R, Ferraraccio F, Galdiero M, Alfano R, Grieco P, Federico A. Melanocortin 3,5 receptors immunohistochemical expression in colonic mucosa of inflammatory bowel disease patients: A matter of disease activity? World J Gastroenterol 2024; 30:1132-1142. [PMID: 38577176 PMCID: PMC10989484 DOI: 10.3748/wjg.v30.i9.1132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/15/2024] [Accepted: 02/08/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND Melanocortin 3 and 5 receptors (i.e., MC3R and MC5R) belong to the melanocortin family. However, data regarding their role in inflammatory bowel diseases (IBD) are currently unavailable. AIM This study aims to ascertain their expression profiles in the colonic mucosa of Crohn's disease (CD) and ulcerative colitis (UC), aligning them with IBD disease endoscopic and histologic activity. METHODS Colonic mucosal biopsies from CD/UC patients were sampled, and immunohistochemical analyses were conducted to evaluate the expression of MC3R and MC5R. Colonic sampling was performed on both traits with endoscopic scores (Mayo endoscopic score and CD endoscopic index of severity) consistent with inflamed mucosa and not consistent with disease activity (i.e., normal appearing mucosa). RESULTS In both CD and UC inflamed mucosa, MC3R (CD: + 7.7 fold vs normal mucosa, P < 0.01; UC: + 12 fold vs normal mucosa, P < 0.01) and MC5R (CD: + 5.5 fold vs normal mucosa, P < 0.01; UC: + 8.1 fold vs normal mucosa, P < 0.01) were significantly more expressed compared to normal mucosa. CONCLUSION MC3R and MC5R are expressed in the colon of IBD patients. Furthermore, expression may differ according to disease endoscopic activity, with a higher degree of expression in the traits affected by disease activity in both CD and UC, suggesting a potential use of these receptors in IBD pharmacology.
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Affiliation(s)
- Antonietta Gerarda Gravina
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Iacopo Panarese
- Pathology Division, Department of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Maria Consiglia Trotta
- Department of Experimental Medicine, Division of Pharmacology, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Michele D'Amico
- Department of Experimental Medicine, Division of Pharmacology, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Raffaele Pellegrino
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Franca Ferraraccio
- Pathology Division, Department of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Marilena Galdiero
- Department of Experimental Medicine, Division of Pharmacology, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Roberto Alfano
- Department of Advanced Medical and Surgical Sciences (DAMSS), University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Paolo Grieco
- Department of Pharmacy, University of Naples Federico II, Naples 80131, Italy
| | - Alessandro Federico
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
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8
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Ma Y, Cai G, Chen J, Yang X, Hua G, Han D, Li X, Feng D, Deng X. Combined transcriptome and metabolome analysis reveals breed-specific regulatory mechanisms in Dorper and Tan sheep. BMC Genomics 2024; 25:70. [PMID: 38233814 PMCID: PMC10795462 DOI: 10.1186/s12864-023-09870-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 12/04/2023] [Indexed: 01/19/2024] Open
Abstract
BACKGROUND Dorper and Tan sheep are renowned for their rapid growth and exceptional meat quality, respectively. Previous research has provided evidence of the impact of gut microbiota on breed characteristics. The precise correlation between the gastrointestinal tract and peripheral organs in each breed is still unclear. Investigating the metabolic network of the intestinal organ has the potential to improve animal growth performance and enhance economic benefits through the regulation of intestinal metabolites. RESULTS In this study, we identified the growth advantage of Dorper sheep and the high fat content of Tan sheep. A transcriptome study of the brain, liver, skeletal muscle, and intestinal tissues of both breeds revealed 3,750 differentially expressed genes (DEGs). The genes PPARGC1A, LPL, and PHGDH were found to be highly expressed in Doper, resulting in the up-regulation of pathways related to lipid oxidation, glycerophospholipid metabolism, and amino acid anabolism. Tan sheep highly express the BSEP, LDLR, and ACHE genes, which up-regulate the pathways involved in bile transport and cholesterol homeostasis. Hindgut content analysis identified 200 differentially accumulated metabolites (DAMs). Purines, pyrimidines, bile acids, and fatty acid substances were more abundant in Dorper sheep. Based on combined gene and metabolite analyses, we have identified glycine, serine, and threonine metabolism, tryptophan metabolism, bile secretion, cholesterol metabolism, and neuroactive ligand-receptor interaction as key factors contributing to the differences among the breeds. CONCLUSIONS This study indicates that different breeds of sheep exhibit unique breed characteristics through various physiological regulatory methods. Dorper sheep upregulate metabolic signals related to glycine, serine, and threonine, resulting in an increase in purine and pyrimidine substances. This, in turn, promotes the synthesis of amino acids and facilitates body development, resulting in a faster rate of weight gain. Tan sheep accelerate bile transport, reduce bile accumulation in the intestine, and upregulate cholesterol homeostasis signals in skeletal muscles. This promotes the accumulation of peripheral and intramuscular fat, resulting in improved meat quality. This work adopts a joint analysis method of multi-tissue transcriptome and gut metabolome, providing a successful case for analyzing the mechanisms underlying the formation of various traits.
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Affiliation(s)
- Yuhao Ma
- Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture and Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Ganxian Cai
- Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture and Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Jianfei Chen
- Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture and Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Xue Yang
- Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture and Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Guoying Hua
- Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture and Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Deping Han
- Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture and Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Xinhai Li
- Department of Animal Science and college of Agriculture, Ningxia University, Yinchuan, 750021, China
| | - Dengzhen Feng
- Department of Animal Science and college of Agriculture, Ningxia University, Yinchuan, 750021, China
| | - Xuemei Deng
- Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture and Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, 100193, China.
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Li Z, Melograna F, Hoskens H, Duroux D, Marazita ML, Walsh S, Weinberg SM, Shriver MD, Müller-Myhsok B, Claes P, Van Steen K. netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity. Front Genet 2023; 14:1286800. [PMID: 38125750 PMCID: PMC10731261 DOI: 10.3389/fgene.2023.1286800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 11/14/2023] [Indexed: 12/23/2023] Open
Abstract
Introduction: Multi-view data offer advantages over single-view data for characterizing individuals, which is crucial in precision medicine toward personalized prevention, diagnosis, or treatment follow-up. Methods: Here, we develop a network-guided multi-view clustering framework named netMUG to identify actionable subgroups of individuals. This pipeline first adopts sparse multiple canonical correlation analysis to select multi-view features possibly informed by extraneous data, which are then used to construct individual-specific networks (ISNs). Finally, the individual subtypes are automatically derived by hierarchical clustering on these network representations. Results: We applied netMUG to a dataset containing genomic data and facial images to obtain BMI-informed multi-view strata and showed how it could be used for a refined obesity characterization. Benchmark analysis of netMUG on synthetic data with known strata of individuals indicated its superior performance compared with both baseline and benchmark methods for multi-view clustering. The clustering derived from netMUG achieved an adjusted Rand index of 1 with respect to the synthesized true labels. In addition, the real-data analysis revealed subgroups strongly linked to BMI and genetic and facial determinants of these subgroups. Discussion: netMUG provides a powerful strategy, exploiting individual-specific networks to identify meaningful and actionable strata. Moreover, the implementation is easy to generalize to accommodate heterogeneous data sources or highlight data structures.
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Affiliation(s)
- Zuqi Li
- BIO3 - Laboratory for Systems Medicine, Department of Human Genetics, KU Leuven, Leuven, Belgium
- Medical Imaging Research Center, University Hospitals Leuven, Leuven, Belgium
| | - Federico Melograna
- BIO3 - Laboratory for Systems Medicine, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Hanne Hoskens
- BIO3 - Laboratory for Systems Medicine, Department of Human Genetics, KU Leuven, Leuven, Belgium
- Medical Imaging Research Center, University Hospitals Leuven, Leuven, Belgium
| | - Diane Duroux
- BIO3 - Laboratory for Systems Genetics, GIGA-R Medical Genomics, University of Liège, Liège, Belgium
| | - Mary L. Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, United States
| | - Susan Walsh
- Department of Biology, Indiana University Indianapolis, Indianapolis, IN, United States
| | - Seth M. Weinberg
- Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, United States
| | - Mark D. Shriver
- Department of Anthropology, Pennsylvania State University, State College, PA, United States
| | | | - Peter Claes
- BIO3 - Laboratory for Systems Medicine, Department of Human Genetics, KU Leuven, Leuven, Belgium
- Medical Imaging Research Center, University Hospitals Leuven, Leuven, Belgium
- Department of Electrical Engineering, KU Leuven, Leuven, Belgium
- Murdoch Children’s Research Institute, Melbourne, VIC, Australia
| | - Kristel Van Steen
- BIO3 - Laboratory for Systems Medicine, Department of Human Genetics, KU Leuven, Leuven, Belgium
- BIO3 - Laboratory for Systems Genetics, GIGA-R Medical Genomics, University of Liège, Liège, Belgium
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10
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Dowaidar M. Gene-environment interactions that influence CVD, lipid traits, obesity, diabetes, and hypertension appear to be able to influence gene therapy. Mol Aspects Med 2023; 94:101213. [PMID: 37703607 DOI: 10.1016/j.mam.2023.101213] [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: 09/04/2023] [Accepted: 09/06/2023] [Indexed: 09/15/2023]
Abstract
Most mind boggling diseases are accepted to be impacted by both genetic and environmental elements. As of late, there has been a flood in the improvement of different methodologies, concentrate on plans, and measurable and logical techniques to examine gene-environment cooperations (G × Es) in enormous scope studies including human populaces. The many-sided exchange between genetic elements and environmental openings has long charmed the consideration of clinicians and researchers looking to grasp the complicated starting points of diseases. While single variables can add to disease, the blend of genetic variations and environmental openings frequently decides disease risk. The fundamental point of this paper is to talk about the Gene-Environment Associations That Impact CVD, Lipid Characteristics, Obesity, Diabetes, and Hypertension Have all the earmarks of being Ready to Impact Gene Therapy. This survey paper investigates the meaning of gene-environment collaborations (G × E) in disease advancement. The intricacy of genetic and environmental communications in disease causation is explained, underlining the multifactorial idea of many circumstances. The job of gene-environment cooperations in cardiovascular disease, lipid digestion, diabetes, obesity, and hypertension is investigated. This audit fixates on Gene by Environment (G × E) collaborations, investigating their importance in disease etiology.
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Affiliation(s)
- Moataz Dowaidar
- Department of Bioengineering, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, 31261, Saudi Arabia; Interdisciplinary Research Center for Hydrogen and Energy Storage (IRC-HES), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, 31261, Saudi Arabia; Interdisciplinary Research Center for Health & Biosciences, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, 31261, Saudi Arabia.
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11
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Zhou F, Tian G, Cui Y, He S, Yan Y. Development of genome-wide association studies on childhood obesity and its indicators: A scoping review and enrichment analysis. Pediatr Obes 2023; 18:e13077. [PMID: 37800454 DOI: 10.1111/ijpo.13077] [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: 01/18/2023] [Revised: 08/31/2023] [Accepted: 09/16/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND The progress of genome-wide association studies (GWAS) in childhood obesity and its indicators is challenging and there are differences in genetic studies in children and adults. OBJECTIVE To illustrate the history of the development of GWAS in childhood obesity and its indicators and summarize the GWAS loci. METHODS PubMed, Web of Science, Embase and GWAS Catalog databases were systematically searched from 1 January 2005 to 19 October 2022 for literature related to GWAS of childhood BMI, body fatness and obesity. The nearest genes were used as positional genes to perform gene set analyses including the enrichment of pathways, tissues and diseases. RESULTS Twenty articles published between 2007 and 2021 were included in this scoping review, which identified 116 SNPs reaching genome-wide significance with childhood BMI (n = 50), body fatness (n = 31) and obesity (n = 35). The study populations were European in 16 studies, non-European in three studies (1 East Asian; 1 American; 1 Mexican) and trans-ancestry in one study. Several enriched pathways, tissues and diseases were identified through enrichment analysis of genes associated with childhood obesity and its indicators. CONCLUSIONS The innovations in tools and methods enable GWAS to better explore the genetic characteristics of obesity in children and adolescents. However, the number of GWAS in American, Asian and African populations is limited compared to the European population.
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Affiliation(s)
- Feixiang Zhou
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Gang Tian
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Yiran Cui
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Simin He
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Yan Yan
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
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12
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van der Meer R, Mohamed SA, Monpellier VM, Liem RSL, Hazebroek EJ, Franks PW, Frayling TM, Janssen IMC, Serlie MJ. Genetic variants associated with weight loss and metabolic outcomes after bariatric surgery: A systematic review. Obes Rev 2023; 24:e13626. [PMID: 37632325 DOI: 10.1111/obr.13626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 07/15/2023] [Accepted: 07/17/2023] [Indexed: 08/27/2023]
Abstract
The extent to which genetic variations contribute to interindividual differences in weight loss and metabolic outcomes after bariatric surgery is unknown. Identifying genetic variants that impact surgery outcomes may contribute to clinical decision making. This review evaluates current evidence addressing the association of genetic variants with weight loss and changes in metabolic parameters after bariatric surgery. A search was conducted using Medline, Embase, Scopus, Web of Science, and Cochrane Library. Fifty-two eligible studies were identified. Single nucleotide polymorphisms (SNPs) at ADIPOQ (rs226729, rs1501299, rs3774261, and rs17300539) showed a positive association with postoperative change in measures of glucose homeostasis and lipid profiles (n = 4), but not with weight loss after surgery (n = 6). SNPs at FTO (rs11075986, rs16952482, rs8050136, rs9939609, rs9930506, and rs16945088) (n = 10) and MC4R (rs11152213, rs476828, rs2229616, rs9947255, rs17773430, rs5282087, and rs17782313) (n = 9) were inconsistently associated with weight loss and metabolic improvement. Four studies examining the UCP2 SNP rs660339 reported associations with postsurgical weight loss. In summary, there is limited evidence supporting a role for specific genetic variants in surgical outcomes after bariatric surgery. Most studies have adopted a candidate gene approach, limiting the scope for discovery, suggesting that the absence of compelling evidence is not evidence of absence.
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Affiliation(s)
- Rieneke van der Meer
- Nederlandse Obesitas Kliniek, Huis ter Heide, The Netherlands
- Department of Endocrinology & Metabolism, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Siham A Mohamed
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
| | | | - Ronald S L Liem
- Department of Surgery, Groene Hart Hospital, Gouda, The Netherlands
- Nederlandse Obesitas Kliniek, The Hague and Gouda, The Netherlands
| | - Eric J Hazebroek
- Department of Surgery, Rijnstate Hospital/Vitalys Clinics, Arnhem, The Netherlands
| | - Paul W Franks
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
| | | | - Mireille J Serlie
- Department of Endocrinology & Metabolism, Amsterdam University Medical Centers, Amsterdam, The Netherlands
- Department of Endocrinology & Metabolism, Yale University, New Haven, CT, USA
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Prone-Olazabal D, Davies I, González-Galarza FF. Metabolic Syndrome: An Overview on Its Genetic Associations and Gene-Diet Interactions. Metab Syndr Relat Disord 2023; 21:545-560. [PMID: 37816229 DOI: 10.1089/met.2023.0125] [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: 10/12/2023] Open
Abstract
Metabolic syndrome (MetS) is a cluster of cardiometabolic risk factors that includes central obesity, hyperglycemia, hypertension, and dyslipidemias and whose inter-related occurrence may increase the odds of developing type 2 diabetes and cardiovascular diseases. MetS has become one of the most studied conditions, nevertheless, due to its complex etiology, this has not been fully elucidated. Recent evidence describes that both genetic and environmental factors play an important role on its development. With the advent of genomic-wide association studies, single nucleotide polymorphisms (SNPs) have gained special importance. In this review, we present an update of the genetics surrounding MetS as a single entity as well as its corresponding risk factors, considering SNPs and gene-diet interactions related to cardiometabolic markers. In this study, we focus on the conceptual aspects, diagnostic criteria, as well as the role of genetics, particularly on SNPs and polygenic risk scores (PRS) for interindividual analysis. In addition, this review highlights future perspectives of personalized nutrition with regard to the approach of MetS and how individualized multiomics approaches could improve the current outlook.
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Affiliation(s)
- Denisse Prone-Olazabal
- Postgraduate Department, Faculty of Medicine, Autonomous University of Coahuila, Torreon, Mexico
| | - Ian Davies
- Research Institute of Sport and Exercise Science, The Institute for Health Research, Liverpool John Moores University, Liverpool, United Kingdom
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14
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Agarwal T, Lyngdoh T, Khadgawat R, Prabhakaran D, Chandak GR, Walia GK. Genetic architecture of adiposity measures among Asians: Findings from GWAS. Ann Hum Genet 2023; 87:255-273. [PMID: 37671428 DOI: 10.1111/ahg.12526] [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: 02/15/2023] [Revised: 08/17/2023] [Accepted: 08/18/2023] [Indexed: 09/07/2023]
Abstract
Adiposity has gradually become a global public threat over the years with drastic increase in the attributable deaths and disability adjusted life years (DALYs). Given an increased metabolic risk among Asians as compared to Europeans for any given body mass index (BMI) and considering the differences in genetic architecture between them, the present review aims to summarize the findings from genome-wide scans for various adiposity indices and related anthropometric measures from Asian populations. The search for related studies, published till February 2022, were made on PubMed and GWAS Catalog using search strategy built with relevant keywords joined by Boolean operators. It was recorded that out of a total of 47 identified studies, maximum studies are from Korean population (n = 14), followed by Chinese (n = 7), and Japanese (n = 6). Nearly 200 loci have been identified for BMI, 660 for height, 16 for weight, 28 for circumferences (waist and hip), 32 for ratios (waist hip ratio [WHR] and thoracic hip ratio [THR]), 5 for body fat, 16 for obesity, and 28 for adiposity-related blood markers among Asians. It was observed that though, most of the loci were unique for each trait, there were 3 loci in common to BMI and WHR. Apart from validation of variants identified in European setting, there were many novel loci discovered in Asian populations. Notably, 125 novel loci form Asian studies have been reported for BMI, 47 for height, 5 for waist circumference, and 2 for adiponectin level to the existing knowledge of the genetic framework of adiposity and related measures. It is necessary to examine more advanced adiposity measures, specifically of relevance to abdominal adiposity, a major risk factor for cardiometabolic disorders among Asians. Moreover, in spite of being one continent, there is diversity among different ethnicities across Asia in terms of lifestyle, climate, geography, genetic structure and consequently the phenotypic manifestations. Hence, it is also important to consider ethnic specific studies for identifying and validating reliable genetic variants of adiposity measures among Asians.
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Affiliation(s)
- Tripti Agarwal
- Indian Institute of Public Health-Delhi, Public Health Foundation of India, Delhi, India
| | | | | | | | - Giriraj Ratan Chandak
- Genomic Research in Complex diseases (GRC Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
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15
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Chermon D, Birk R. Predisposition of the Common MC4R rs17782313 Female Carriers to Elevated Obesity and Interaction with Eating Habits. Genes (Basel) 2023; 14:1996. [PMID: 38002939 PMCID: PMC10671328 DOI: 10.3390/genes14111996] [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: 10/04/2023] [Revised: 10/22/2023] [Accepted: 10/25/2023] [Indexed: 11/26/2023] Open
Abstract
The global rise in obesity is attributed to genetic predisposition interaction with an obesogenic environment. Melanocortin 4 receptor (MC4R) rs17782313 polymorphism has been linked to common obesity with varying influence across different populations. MC4R is a crucial player in the leptin proopiomelanocortin pathway that regulates weight hemostasis. We aimed to study MC4R rs17782313 and its interaction with eating behaviors on obesity predisposition in the Israeli population. Adults' (n = 5785, >18 y) genotype and anthropometric and demographic data were analyzed using logistic regression models adjusting for age, sex, T1DM, and T2DM. MC4R rs17782313 significantly predisposes to elevated obesity risk under the recessive and additive models (OR = 1.38, 95% CI: 1.1-1.72, p = 0.005 and OR = 1.1, 95% CI: 1.01-1.2, p = 0.03, respectively) adjusted for confounders (age, sex, T1DM, and T2DM). Stratification by sex demonstrated that carrying the common MC4R rs17782313 is significantly associated with an elevated predisposition to obesity under the recessive model among females only (OR = 1.41, 95% CI: 1.09-1.82, p = 0.01), with an average of 0.85 BMI increment compared with wild type and one risk allele carriers. MC4R rs17782313 significantly interacted with several eating behaviors to enhance the risk of obesity. Our findings demonstrate that MC4R rs17782313 homozygous female carriers are significantly predisposed to obesity amplified by eating behaviors.
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Affiliation(s)
| | - Ruth Birk
- Nutrition Department, Health Sciences Faculty, Ariel University, Ariel 40700, Israel;
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16
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Abstract
Obesity is a common complex trait that elevates the risk for various diseases, including type 2 diabetes and cardiovascular disease. A combination of environmental and genetic factors influences the pathogenesis of obesity. Advances in genomic technologies have driven the identification of multiple genetic loci associated with this disease, ranging from studying severe onset cases to investigating common multifactorial polygenic forms. Additionally, findings from epigenetic analyses of modifications to the genome that do not involve changes to the underlying DNA sequence have emerged as key signatures in the development of obesity. Such modifications can mediate the effects of environmental factors, including diet and lifestyle, on gene expression and clinical presentation. This review outlines what is known about the genetic and epigenetic contributors to obesity susceptibility, along with the albeit limited therapeutic options currently available. Furthermore, we delineate the potential mechanisms of actions through which epigenetic changes can mediate environmental influences and the related opportunities they present for future interventions in the management of obesity.
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Affiliation(s)
- Khanh Trang
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
| | - Struan F.A. Grant
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- Division of Diabetes and Endocrinology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104 USA
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104 USA
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17
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Sweeney P, Gimenez LE, Hernandez CC, Cone RD. Targeting the central melanocortin system for the treatment of metabolic disorders. Nat Rev Endocrinol 2023; 19:507-519. [PMID: 37365323 DOI: 10.1038/s41574-023-00855-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/18/2023] [Indexed: 06/28/2023]
Abstract
A large body of preclinical and clinical data shows that the central melanocortin system is a promising therapeutic target for treating various metabolic disorders such as obesity and cachexia, as well as anorexia nervosa. Setmelanotide, which functions by engaging the central melanocortin circuitry, was approved by the FDA in 2020 for use in certain forms of syndromic obesity. Furthermore, the FDA approvals in 2019 of two peptide drugs targeting melanocortin receptors for the treatment of generalized hypoactive sexual desire disorder (bremelanotide) and erythropoietic protoporphyria-associated phototoxicity (afamelanotide) demonstrate the safety of this class of peptides. These approvals have also renewed excitement in the development of therapeutics targeting the melanocortin system. Here, we review the anatomy and function of the melanocortin system, discuss progress and challenges in developing melanocortin receptor-based therapeutics, and outline potential metabolic and behavioural disorders that could be addressed using pharmacological agents targeting these receptors.
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Affiliation(s)
- Patrick Sweeney
- School of Molecular and Cellular Biology, College of Liberal Arts and Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA
| | - Luis E Gimenez
- Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA
| | | | - Roger D Cone
- Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA.
- Department of Molecular and Integrative Physiology, School of Medicine, University of Michigan, Ann Arbor, MI, USA.
- Department of Molecular, Cellular, and Developmental Biology, College of Literature Science and the Arts, University of Michigan, Ann Arbor, MI, USA.
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18
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Cruz LA, Cooke Bailey JN, Crawford DC. Importance of Diversity in Precision Medicine: Generalizability of Genetic Associations Across Ancestry Groups Toward Better Identification of Disease Susceptibility Variants. Annu Rev Biomed Data Sci 2023; 6:339-356. [PMID: 37196357 PMCID: PMC10720270 DOI: 10.1146/annurev-biodatasci-122220-113250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Genome-wide association studies (GWAS) revolutionized our understanding of common genetic variation and its impact on common human disease and traits. Developed and adopted in the mid-2000s, GWAS led to searchable genotype-phenotype catalogs and genome-wide datasets available for further data mining and analysis for the eventual development of translational applications. The GWAS revolution was swift and specific, including almost exclusively populations of European descent, to the neglect of the majority of the world's genetic diversity. In this narrative review, we recount the GWAS landscape of the early years that established a genotype-phenotype catalog that is now universally understood to be inadequate for a complete understanding of complex human genetics. We then describe approaches taken to augment the genotype-phenotype catalog, including the study populations, collaborative consortia, and study design approaches aimed to generalize and then ultimately discover genome-wide associations in non-European descent populations. The collaborations and data resources established in the efforts to diversify genomic findings undoubtedly provide the foundations of the next chapters of genetic association studies with the advent of budget-friendly whole-genome sequencing.
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Affiliation(s)
- Lauren A Cruz
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA;
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio, USA
| | - Jessica N Cooke Bailey
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA;
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, USA
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio, USA
| | - Dana C Crawford
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA;
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, USA
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio, USA
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19
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Gravina AG, Pellegrino R, Durante T, Palladino G, Imperio G, D'Amico G, Trotta MC, Dallio M, Romeo M, D'Amico M, Federico A. The Melanocortin System in Inflammatory Bowel Diseases: Insights into Its Mechanisms and Therapeutic Potentials. Cells 2023; 12:1889. [PMID: 37508552 PMCID: PMC10378568 DOI: 10.3390/cells12141889] [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: 06/24/2023] [Revised: 07/08/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
The melanocortin system is a complex set of molecular mediators and receptors involved in many physiological and homeostatic processes. These include the regulation of melanogenesis, steroidogenesis, neuromodulation and the modulation of inflammatory processes. In the latter context, the system has assumed importance in conditions of chronic digestive inflammation, such as inflammatory bowel diseases (IBD), in which numerous experiences have been accumulated in mouse models of colitis. Indeed, information on how such a system can counteract colitis inflammation and intervene in the complex cytokine imbalance in the intestinal microenvironment affected by chronic inflammatory damage has emerged. This review summarises the evidence acquired so far and highlights that molecules interfering with the melanocortin system could represent new drugs for treating IBD.
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Affiliation(s)
- Antonietta Gerarda Gravina
- Hepatogastroenterology Unit, Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Raffaele Pellegrino
- Hepatogastroenterology Unit, Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Tommaso Durante
- Mental Health Department, S. Pio Hospital, Via dell'Angelo, 82100 Benevento, Italy
| | - Giovanna Palladino
- Hepatogastroenterology Unit, Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Giuseppe Imperio
- Hepatogastroenterology Unit, Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | | | - Maria Consiglia Trotta
- Department of Experimental Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Marcello Dallio
- Hepatogastroenterology Unit, Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Mario Romeo
- Hepatogastroenterology Unit, Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Michele D'Amico
- Department of Experimental Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Alessandro Federico
- Hepatogastroenterology Unit, Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
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Haspula D, Cui Z. Neurochemical Basis of Inter-Organ Crosstalk in Health and Obesity: Focus on the Hypothalamus and the Brainstem. Cells 2023; 12:1801. [PMID: 37443835 PMCID: PMC10341274 DOI: 10.3390/cells12131801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 06/23/2023] [Accepted: 07/03/2023] [Indexed: 07/15/2023] Open
Abstract
Precise neural regulation is required for maintenance of energy homeostasis. Essential to this are the hypothalamic and brainstem nuclei which are located adjacent and supra-adjacent to the circumventricular organs. They comprise multiple distinct neuronal populations which receive inputs not only from other brain regions, but also from circulating signals such as hormones, nutrients, metabolites and postprandial signals. Hence, they are ideally placed to exert a multi-tier control over metabolism. The neuronal sub-populations present in these key metabolically relevant nuclei regulate various facets of energy balance which includes appetite/satiety control, substrate utilization by peripheral organs and glucose homeostasis. In situations of heightened energy demand or excess, they maintain energy homeostasis by restoring the balance between energy intake and expenditure. While research on the metabolic role of the central nervous system has progressed rapidly, the neural circuitry and molecular mechanisms involved in regulating distinct metabolic functions have only gained traction in the last few decades. The focus of this review is to provide an updated summary of the mechanisms by which the various neuronal subpopulations, mainly located in the hypothalamus and the brainstem, regulate key metabolic functions.
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Affiliation(s)
- Dhanush Haspula
- Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD 20892, USA
| | - Zhenzhong Cui
- Mouse Metabolism Core, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD 20892, USA;
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21
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Vrânceanu M, Hegheş SC, Cozma-Petruţ A, Banc R, Stroia CM, Raischi V, Miere D, Popa DS, Filip L. Plant-Derived Nutraceuticals Involved in Body Weight Control by Modulating Gene Expression. PLANTS (BASEL, SWITZERLAND) 2023; 12:2273. [PMID: 37375898 DOI: 10.3390/plants12122273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 06/09/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023]
Abstract
Obesity is the most prevalent health problem in the Western world, with pathological body weight gain associated with numerous co-morbidities that can be the main cause of death. There are several factors that can contribute to the development of obesity, such as diet, sedentary lifestyle, and genetic make-up. Genetic predispositions play an important role in obesity, but genetic variations alone cannot fully explain the explosion of obesity, which is why studies have turned to epigenetics. The latest scientific evidence suggests that both genetics and environmental factors contribute to the rise in obesity. Certain variables, such as diet and exercise, have the ability to alter gene expression without affecting the DNA sequence, a phenomenon known as epigenetics. Epigenetic changes are reversible, and reversibility makes these changes attractive targets for therapeutic interventions. While anti-obesity drugs have been proposed to this end in recent decades, their numerous side effects make them not very attractive. On the other hand, the use of nutraceuticals for weight loss is increasing, and studies have shown that some of these products, such as resveratrol, curcumin, epigallocatechin-3-gallate, ginger, capsaicin, and caffeine, can alter gene expression, restoring the normal epigenetic profile and aiding weight loss.
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Affiliation(s)
- Maria Vrânceanu
- Department of Toxicology, "Iuliu Haţieganu" University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
| | - Simona-Codruţa Hegheş
- Department of Drug Analysis, "Iuliu Haţieganu" University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
| | - Anamaria Cozma-Petruţ
- Department of Bromatology, Hygiene, Nutrition, "Iuliu Haţieganu" University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
| | - Roxana Banc
- Department of Bromatology, Hygiene, Nutrition, "Iuliu Haţieganu" University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
| | - Carmina Mariana Stroia
- Department of Pharmacy, Oradea University, 1 Universităţii Street, 410087 Oradea, Romania
| | - Viorica Raischi
- Laboratory of Physiology of Stress, Adaptation and General Sanocreatology, Institute of Physiology and Sanocreatology, 1 Academiei Street, 2028 Chișinău, Moldova
| | - Doina Miere
- Department of Bromatology, Hygiene, Nutrition, "Iuliu Haţieganu" University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
| | - Daniela-Saveta Popa
- Department of Toxicology, "Iuliu Haţieganu" University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
| | - Lorena Filip
- Department of Bromatology, Hygiene, Nutrition, "Iuliu Haţieganu" University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
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22
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Kwak SH, Srinivasan S, Chen L, Todd J, Mercader J, Jensen E, Divers J, Mottl A, Pihoker C, Gandica R, Laffel L, Isganaitis E, Haymond M, Levitsky L, Pollin T, Florez J, Flannick J. Insights from rare variants into the genetic architecture and biology of youth-onset type 2 diabetes. RESEARCH SQUARE 2023:rs.3.rs-2886343. [PMID: 37292813 PMCID: PMC10246295 DOI: 10.21203/rs.3.rs-2886343/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Youth-onset type 2 diabetes (T2D) is a growing public health concern. Its genetic basis and relationship to other forms of diabetes are largely unknown. To gain insight into the genetic architecture and biology of youth-onset T2D, we analyzed exome sequences of 3,005 youth-onset T2D cases and 9,777 ancestry matched adult controls. We identified (a) monogenic diabetes variants in 2.1% of individuals; (b) two exome-wide significant (P < 4.3×10-7) common coding variant associations (in WFS1 and SLC30A8); (c) three exome-wide significant (P < 2.5×10-6) rare variant gene-level associations (HNF1A, MC4R, ATX2NL); and (d) rare variant association enrichments within 25 gene sets broadly related to obesity, monogenic diabetes, and β-cell function. Many association signals were shared between youth-onset and adult-onset T2D but had larger effects for youth-onset T2D risk (1.18-fold increase for common variants and 2.86-fold increase for rare variants). Both common and rare variant associations contributed more to youth-onset T2D liability variance than they did to adult-onset T2D, but the relative increase was larger for rare variant associations (5.0-fold) than for common variant associations (3.4-fold). Youth-onset T2D cases showed phenotypic differences depending on whether their genetic risk was driven by common variants (primarily related to insulin resistance) or rare variants (primarily related to β-cell dysfunction). These data paint a picture of youth-onset T2D as a disease genetically similar to both monogenic diabetes and adult-onset T2D, in which genetic heterogeneity might be used to sub-classify patients for different treatment strategies.
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Affiliation(s)
| | | | - Ling Chen
- Diabetes Research Center (Diabetes Unit), Department of Medicine, Massachusetts General Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jason Flannick
- Broad Institute of MIT and Harvard/Boston Children's Hospital/Harvard Medical School
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23
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Li Z, Melograna F, Hoskens H, Duroux D, Marazita ML, Walsh S, Weinberg SM, Shriver MD, Müller-Myhsok B, Claes P, Van Steen K. netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.04.539350. [PMID: 37205363 PMCID: PMC10187283 DOI: 10.1101/2023.05.04.539350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Multi-view data offer advantages over single-view data for characterizing individuals, which is crucial in precision medicine toward personalized prevention, diagnosis, or treatment follow-up. Here, we develop a network-guided multi-view clustering framework named netMUG to identify actionable subgroups of individuals. This pipeline first adopts sparse multiple canonical correlation analysis to select multi-view features possibly informed by extraneous data, which are then used to construct individual-specific networks (ISNs). Finally, the individual subtypes are automatically derived by hierarchical clustering on these network representations. We applied netMUG to a dataset containing genomic data and facial images to obtain BMI-informed multi-view strata and showed how it could be used for a refined obesity characterization. Benchmark analysis of netMUG on synthetic data with known strata of individuals indicated its superior performance compared with both baseline and benchmark methods for multi-view clustering. In addition, the real-data analysis revealed subgroups strongly linked to BMI and genetic and facial determinants of these classes. NetMUG provides a powerful strategy, exploiting individual-specific networks to identify meaningful and actionable strata. Moreover, the implementation is easy to generalize to accommodate heterogeneous data sources or highlight data structures.
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Affiliation(s)
- Zuqi Li
- Department of Human Genetics, KU Leuven, Leuven, Belgium
- Medical Imaging Research Center, University Hospitals Leuven, Leuven, Belgium
| | | | - Hanne Hoskens
- Department of Human Genetics, KU Leuven, Leuven, Belgium
- Medical Imaging Research Center, University Hospitals Leuven, Leuven, Belgium
| | - Diane Duroux
- GIGA-R Medical Genomics, University of Liège, Liège, Belgium
| | - Mary L. Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, University of Pittsburgh, Pittsburgh, PA 15219, USA
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Susan Walsh
- Department of Biology, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
| | - Seth M. Weinberg
- Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, University of Pittsburgh, Pittsburgh, PA 15219, USA
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Mark D. Shriver
- Department of Anthropology, Pennsylvania State University, State College, PA 16801, USA
| | | | - Peter Claes
- Department of Human Genetics, KU Leuven, Leuven, Belgium
- Medical Imaging Research Center, University Hospitals Leuven, Leuven, Belgium
- Department of Electrical Engineering, ESAT/PSI, KU Leuven, Leuven, Belgium
- Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
| | - Kristel Van Steen
- Department of Human Genetics, KU Leuven, Leuven, Belgium
- GIGA-R Medical Genomics, University of Liège, Liège, Belgium
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24
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Keijer J, Escoté X, Galmés S, Palou-March A, Serra F, Aldubayan MA, Pigsborg K, Magkos F, Baker EJ, Calder PC, Góralska J, Razny U, Malczewska-Malec M, Suñol D, Galofré M, Rodríguez MA, Canela N, Malcic RG, Bosch M, Favari C, Mena P, Del Rio D, Caimari A, Gutierrez B, Del Bas JM. Omics biomarkers and an approach for their practical implementation to delineate health status for personalized nutrition strategies. Crit Rev Food Sci Nutr 2023; 64:8279-8307. [PMID: 37077157 DOI: 10.1080/10408398.2023.2198605] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Abstract
Personalized nutrition (PN) has gained much attention as a tool for empowerment of consumers to promote changes in dietary behavior, optimizing health status and preventing diet related diseases. Generalized implementation of PN faces different obstacles, one of the most relevant being metabolic characterization of the individual. Although omics technologies allow for assessment the dynamics of metabolism with unprecedented detail, its translatability as affordable and simple PN protocols is still difficult due to the complexity of metabolic regulation and to different technical and economical constrains. In this work, we propose a conceptual framework that considers the dysregulation of a few overarching processes, namely Carbohydrate metabolism, lipid metabolism, inflammation, oxidative stress and microbiota-derived metabolites, as the basis of the onset of several non-communicable diseases. These processes can be assessed and characterized by specific sets of proteomic, metabolomic and genetic markers that minimize operational constrains and maximize the information obtained at the individual level. Current machine learning and data analysis methodologies allow the development of algorithms to integrate omics and genetic markers. Reduction of dimensionality of variables facilitates the implementation of omics and genetic information in digital tools. This framework is exemplified by presenting the EU-Funded project PREVENTOMICS as a use case.
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Affiliation(s)
- Jaap Keijer
- Human and Animal Physiology, Wageningen University, Wageningen, the Netherlands
| | - Xavier Escoté
- EURECAT, Centre Tecnològic de Catalunya, Nutrition and Health, Reus, Spain
| | - Sebastià Galmés
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Spin-off n.1 of the University of the Balearic Islands, Alimentómica S.L, Palma, Spain
| | - Andreu Palou-March
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Spin-off n.1 of the University of the Balearic Islands, Alimentómica S.L, Palma, Spain
| | - Francisca Serra
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Spin-off n.1 of the University of the Balearic Islands, Alimentómica S.L, Palma, Spain
| | - Mona Adnan Aldubayan
- Department of Nutrition, Exercise, and Sports, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Nutrition, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Kristina Pigsborg
- Department of Nutrition, Exercise, and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Faidon Magkos
- Department of Nutrition, Exercise, and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Ella J Baker
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Philip C Calder
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton, UK
| | - Joanna Góralska
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland
| | - Urszula Razny
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland
| | | | - David Suñol
- Digital Health, Eurecat, Centre Tecnològic de Catalunya, Barcelona, Spain
| | - Mar Galofré
- Digital Health, Eurecat, Centre Tecnològic de Catalunya, Barcelona, Spain
| | - Miguel A Rodríguez
- Centre for Omic Sciences (COS), Joint Unit URV-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Eurecat, Centre Tecnològic de Catalunya, Reus, Spain
| | - Núria Canela
- Centre for Omic Sciences (COS), Joint Unit URV-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Eurecat, Centre Tecnològic de Catalunya, Reus, Spain
| | - Radu G Malcic
- Health and Biomedicine, LEITAT Technological Centre, Barcelona, Spain
| | - Montserrat Bosch
- Applied Microbiology and Biotechnologies, LEITAT Technological Centre, Terrassa, Spain
| | - Claudia Favari
- Human Nutrition Unit, Department of Food & Drug, University of Parma, Parma, Italy
| | - Pedro Mena
- Human Nutrition Unit, Department of Food & Drug, University of Parma, Parma, Italy
| | - Daniele Del Rio
- Human Nutrition Unit, Department of Food & Drug, University of Parma, Parma, Italy
| | - Antoni Caimari
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology area, Reus, Spain
| | | | - Josep M Del Bas
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology area, Reus, Spain
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25
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Genetic association of the rs17782313 polymorphism with antipsychotic-induced weight gain. Psychopharmacology (Berl) 2023; 240:899-908. [PMID: 36757449 PMCID: PMC10006246 DOI: 10.1007/s00213-023-06331-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 01/30/2023] [Indexed: 02/10/2023]
Abstract
RATIONALE Weight gain is a frequent side effect of treatment with SGAs (second-generation antipsychotics) and a leading cause for nonadherence. Several candidate genes have been identified that could influence the amount of AIWG (antipsychotic-induced weight gain). The polymorphism rs17782313 near the MC4R (human melanocortin 4 receptor gene) was strongly associated with obesity in a large scale GWAS (genome wide association study), yet previous studies investigating its impact on AIWG did not lead to a definite conclusion regarding its effect. In particular, they were all relatively short and had a naturalistic design. OBJECTIVE We therefore examined the influence of the rs17782313 polymorphism on SGA-related weight gain. METHODS Participants of a multicenter randomized, controlled, double-blind study comparing two treatment strategies in individuals with schizophrenia or schizoaffective disorder were genotyped using a rapid-cycle polymerase chain reaction. Up to 252 individuals completed the first 2 weeks (phase I), 212 the entire 8 weeks (hence 'completers'). Patients received either amisulpride or olanzapine or both consecutively. Thirty-seven had their first episode. Weight gain occurring in different genotypes was statistically compared and confounding factors were adjusted by stepwise multiple linear regression. A correction for multiple testing was included. RESULTS Within 212 'completers', carriers of the C allele had a higher absolute weight gain than those homozygous for the T allele (2.6 kg vs. 1.2 kg), though this observation was not significant (P = 0.063). In the amisulpride subpopulation, this association appeared stronger and reached significance (2.5 kg vs. 0.7 kg, P = 0.043), though failed to remain significant after correction for multiple testing. A stepwise multiple linear regression showed a significant association in both the whole study population (P < 0.001) and the amisulpride subpopulation (P < 0.001). CONCLUSION Our results indicate that the rs17782313 polymorphism might influence antipsychotic-induced weight gain and therefore confirm some of the earlier conclusions.
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26
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Sánchez-Maldonado JM, Cabrera-Serrano AJ, Chattopadhyay S, Campa D, Garrido MDP, Macauda A, Ter Horst R, Jerez A, Netea MG, Li Y, Hemminki K, Canzian F, Försti A, Sainz J. GWAS-Identified Variants for Obesity Do Not Influence the Risk of Developing Multiple Myeloma: A Population-Based Study and Meta-Analysis. Int J Mol Sci 2023; 24:ijms24076029. [PMID: 37047000 PMCID: PMC10094344 DOI: 10.3390/ijms24076029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 03/17/2023] [Accepted: 03/21/2023] [Indexed: 04/14/2023] Open
Abstract
Multiple myeloma (MM) is an incurable disease characterized by the presence of malignant plasma cells in the bone marrow that secrete specific monoclonal immunoglobulins into the blood. Obesity has been associated with the risk of developing solid and hematological cancers, but its role as a risk factor for MM needs to be further explored. Here, we evaluated whether 32 genome-wide association study (GWAS)-identified variants for obesity were associated with the risk of MM in 4189 German subjects from the German Multiple Myeloma Group (GMMG) cohort (2121 MM cases and 2068 controls) and 1293 Spanish subjects (206 MM cases and 1087 controls). Results were then validated through meta-analysis with data from the UKBiobank (554 MM cases and 402,714 controls) and FinnGen cohorts (914 MM cases and 248,695 controls). Finally, we evaluated the correlation of these single nucleotide polymorphisms (SNPs) with cQTL data, serum inflammatory proteins, steroid hormones, and absolute numbers of blood-derived cell populations (n = 520). The meta-analysis of the four European cohorts showed no effect of obesity-related variants on the risk of developing MM. We only found a very modest association of the POC5rs2112347G and ADCY3rs11676272G alleles with MM risk that did not remain significant after correction for multiple testing (per-allele OR = 1.08, p = 0.0083 and per-allele OR = 1.06, p = 0.046). No correlation between these SNPs and functional data was found, which confirms that obesity-related variants do not influence MM risk.
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Affiliation(s)
- José Manuel Sánchez-Maldonado
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain
| | - Antonio José Cabrera-Serrano
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain
| | - Subhayan Chattopadhyay
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany
- Hopp Children's Cancer Center (KiTZ), 69120 Heidelberg, Germany
| | - Daniele Campa
- Department of Biology, University of Pisa, 56126 Pisa, Italy
| | | | - Angelica Macauda
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Rob Ter Horst
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Nijmegen Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Andrés Jerez
- Department of Hematology, Experimental Hematology Unit, Vall d'Hebron Institute of Oncology (VHIO), University Hospital Vall d'Hebron, 08035 Barcelona, Spain
| | - Mihai G Netea
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Nijmegen Medical Center, 6525 GA Nijmegen, The Netherlands
- Department for Immunology & Metabolism, Life and Medical Sciences Institute (LIMES), University of Bonn, 53115 Bonn, Germany
| | - Yang Li
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Nijmegen Medical Center, 6525 GA Nijmegen, The Netherlands
- Centre for Individualised Infection Medicine (CiiM) & TWINCORE, Joint Ventures between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), 30625 Hannover, Germany
| | - Kari Hemminki
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Germany Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), 69120 Heidelberg, Germany
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University in Prague, 30605 Pilsen, Czech Republic
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Asta Försti
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany
- Hopp Children's Cancer Center (KiTZ), 69120 Heidelberg, Germany
| | - Juan Sainz
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain
- Department of Biochemistry and Molecular Biology I, University of Granada, 18071 Granada, Spain
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27
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Considerations of the Genetic Background of Obesity among Patients with Psoriasis. Genes (Basel) 2023; 14:genes14030594. [PMID: 36980866 PMCID: PMC10048146 DOI: 10.3390/genes14030594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 01/31/2023] [Accepted: 02/23/2023] [Indexed: 03/02/2023] Open
Abstract
Psoriasis comorbidities may emerge from pleiotropic mechanisms, including common proinflammatory pathways, cellular mediators or genetic predisposition. Obesity is considered to be an independent risk factor of psoriasis, which may influence the severity of the disease and its early onset, decrease patients’ quality of life, alter response to psoriasis therapies and affect morbidity by reduced life expectancy due to cardiovascular events. Although novel approaches, including genetic techniques, have provided a wide range of new research, there are still scarce studies elaborating on the common genetic background of psoriasis and obesity. The aim of this study was to present and evaluate a possible common genetic background of psoriasis and concomitant increased body mass based on the review of the available literature.
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28
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Bernard A, Ojeda Naharros I, Yue X, Mifsud F, Blake A, Bourgain-Guglielmetti F, Ciprin J, Zhang S, McDaid E, Kim K, Nachury MV, Reiter JF, Vaisse C. MRAP2 regulates energy homeostasis by promoting primary cilia localization of MC4R. JCI Insight 2023; 8:e155900. [PMID: 36692018 PMCID: PMC9977312 DOI: 10.1172/jci.insight.155900] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 11/30/2022] [Indexed: 01/24/2023] Open
Abstract
The G protein-coupled receptor melanocortin-4 receptor (MC4R) and its associated protein melanocortin receptor-associated protein 2 (MRAP2) are essential for the regulation of food intake and body weight in humans. MC4R localizes and functions at the neuronal primary cilium, a microtubule-based organelle that senses and relays extracellular signals. Here, we demonstrate that MRAP2 is critical for the weight-regulating function of MC4R neurons and the ciliary localization of MC4R. More generally, our study also reveals that GPCR localization to primary cilia can require specific accessory proteins that may not be present in heterologous cell culture systems. Our findings further demonstrate that targeting of MC4R to neuronal primary cilia is essential for the control of long-term energy homeostasis and suggest that genetic disruption of MC4R ciliary localization may frequently underlie inherited forms of obesity.
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Affiliation(s)
| | | | - Xinyu Yue
- Department of Medicine and The Diabetes Center
| | | | - Abbey Blake
- Department of Medicine and The Diabetes Center
| | | | | | - Sumei Zhang
- Department of Medicine and The Diabetes Center
| | - Erin McDaid
- Department of Medicine and The Diabetes Center
| | - Kellan Kim
- Department of Medicine and The Diabetes Center
| | | | - Jeremy F. Reiter
- Department of Biochemistry and Biophysics, Cardiovascular Research Institute, UCSF, San Francisco, California, USA
- Chan Zuckerberg Biohub, San Francisco, California, USA
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29
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Xie X, Houtz J, Liao GY, Chen Y, Xu B. Genetic Val66Met BDNF Variant Increases Hyperphagia on Fat-rich Diets in Mice. Endocrinology 2023; 164:6984997. [PMID: 36631165 DOI: 10.1210/endocr/bqad008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 01/09/2023] [Accepted: 01/10/2023] [Indexed: 01/13/2023]
Abstract
High prevalence of obesity is attributable in part to consumption of highly palatable, fat-rich foods. However, the mechanism controlling dietary fat intake is largely unknown. In this study we investigated the role of brain-derived neurotrophic factor (BDNF) in the control of dietary fat intake in a mouse model that mimics the common human Val-to-Met (Val66Met) polymorphism that impairs BDNF release via the regulated secretory pathway. BdnfMet/Met mice gained weight much faster than wild-type (WT) mice and developed severe obesity due to marked hyperphagia when they were fed HFD. Hyperphagia in these mice worsened when the fat content in their diet was increased. Conversely, mice lacking leptin exhibited similar hyperphagia on chow and HFD. When 2 diets were provided simultaneously, WT and BdnfMet/Met mice showed a comparable preference for the more palatable diet rich in either fat or sucrose, indicating that increased hyperphagia on fat-rich diets in BdnfMet/Met mice is not due to enhanced hedonic drive. In support of this interpretation, WT and BdnfMet/Met mice increased calorie intake to a similar extent during the first day after chow was switched to HFD; however, WT mice decreased HFD intake faster than BdnfMet/Met mice in subsequent days. Furthermore, we found that refeeding after fasting or nocturnal feeding with HFD activated TrkB more strongly than with chow in the hypothalamus of WT mice, whereas TrkB activation under these 2 conditions was greatly attenuated in BdnfMet/Met mice. These results indicate that satiety factors generated during HFD feeding induce BDNF release to suppress excess dietary fat intake.
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Affiliation(s)
- Xiangyang Xie
- Department of Neuroscience, UF Scripps Biomedical Research, University of Florida, Jupiter, Florida 33458, USA
| | - Jessica Houtz
- Department of Neuroscience, UF Scripps Biomedical Research, University of Florida, Jupiter, Florida 33458, USA
| | - Guey-Ying Liao
- Department of Neuroscience, UF Scripps Biomedical Research, University of Florida, Jupiter, Florida 33458, USA
| | - Yuting Chen
- Department of Neuroscience, UF Scripps Biomedical Research, University of Florida, Jupiter, Florida 33458, USA
- Skaggs Graduate School of Chemical and Biological Sciences, The Scripps Research Institute, Jupiter, Florida 33458, USA
| | - Baoji Xu
- Department of Neuroscience, UF Scripps Biomedical Research, University of Florida, Jupiter, Florida 33458, USA
- Skaggs Graduate School of Chemical and Biological Sciences, The Scripps Research Institute, Jupiter, Florida 33458, USA
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Littleton SH, Grant SFA. Strategies to identify causal common genetic variants and corresponding effector genes for paediatric obesity. Pediatr Obes 2022; 17:e12968. [PMID: 35971868 DOI: 10.1111/ijpo.12968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 07/24/2022] [Accepted: 08/01/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Childhood obesity rates are on the rise, but there are currently no effective therapies available to slow or halt their progression. Although environmental and lifestyle factors have been implicated in its pathogenesis, childhood obesity is considered a complex disorder with a clear genetic component. Intense genome-wide association study (GWAS) efforts through large-scale collaborations have enabled the discovery of genetic loci robustly associated with childhood obesity beyond the classic FTO locus. That said, GWAS itself does not pinpoint the actual underlying causal effector genes, but rather just yields association signals in the genome. OBJECTIVE This review aims to outline what has been elucidated thus far on the genetic aetiology of commong childhood obesity and to describe strategies to identify and validate both causal common genetic variants and their corresponding effector genes. RESULTS Relevant cell types for molecular studies can be identified by gene set enrichment analysis and considering known biology of obesity-related physiological processes. Putatively causal single nucleotide polymorphisms (SNPs) can be identified by several methods including statistical fine mapping and 'assay for transposase accessible chromatin sequencing' (ATAC-seq). Variant to gene mapping can then nominate effector genes likely regulated by cis-regulatory elements harbouring putatively causal SNPs. A SNP's cis-regulatory activity can be functionally validated by several in vitro methods including luciferase assay and CRISPR approaches. These CRISPR approaches can also be used to investigate how dysregulatn of effector genes may confer obesity risk. CONCLUSION Uncovering the causative genes related to GWAS signals and elucidating their functional contributions to paediatric obesity with these strategies will deepen our understanding of this disease and serve better treatment outcomes.
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Affiliation(s)
- Sheridan H Littleton
- Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, USA.,Cell and Molecular Biology Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA.,Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Struan F A Grant
- Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, USA.,Divisons of Genetics and Endocrinology, Children's Hospital of Philadelphia, Philadelphia, USA.,Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
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The Role of Dietary Glycemic Index and Glycemic Load in Mediating Genetic Susceptibility via MC4R s17782313 Genotypes to Affect Cardiometabolic Risk Factors among Apparently Healthy Obese Individuals. BIOMED RESEARCH INTERNATIONAL 2022; 2022:3044545. [PMID: 36440355 PMCID: PMC9683967 DOI: 10.1155/2022/3044545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 10/11/2022] [Accepted: 10/29/2022] [Indexed: 11/18/2022]
Abstract
Background The association of genetic and dietary factors with occurrence and progression of chronic diseases such as metabolic syndrome (MetS) has long been addressed but there is a lack of evidence for complex interrelationships, including direct and indirect effects of these variables. Hence, this study is aimed at evaluating the mediating role of glycemic indices in the association of melanocortin-4 receptor (MC4R) rs17782313 polymorphism, sociodemographic, and psychological factors with the risk of MetS in obese adults using structural equation modeling. Methods We performed a cross-sectional analysis of data from 287 apparently healthy adults. Dietary glycemic index (GI) and glycemic load (GL) were calculated from a validated 147-item food frequency questionnaire (FFQ). MC4R s17782313 genotypes were determined by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Structural equation modeling was used to explore direct and indirect effects of genetic and nongenetic factors on MetS. Results MC4R gene variant was directly associated with the risk of MetS (B = 0.010; P = 0.023). On the other hand, this variant was found to be indirectly and positively associated with LDL-C (B = 6.589; P = 0.042) through mediatory effects of GI and GL. Moreover, GI and GL also mediated indirect positive effects of sex and age on LDL-C (B = 3.970; P ≤ 0.01; B = 0.878; P ≤ 0.01, respectively) and HDL (B = 2.203; P ≤ 0.01; B = 0.129; P ≤ 0.01, respectively). MC4R rs17782313 polymorphism had positive effects on GI (B = 1.577; P ≤ 0.01) and GL (B = 1.235; P ≤ 0.01). Conclusion Our data may state a hypothesis of the mediating effect of quantity and quality of carbohydrates consumed in relationship between genetic susceptibility to obesity and cardiometabolic risk factors. Further analyses should be carried out in high-quality cohort studies in order to confirm the findings.
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Gholami F, Rasaei N, Samadi M, Yekaninejad MS, Keshavarz SA, Javdan G, Karimi Z, Mirzaei K. The relationship of genetic risk score with cardiometabolic risk factors: a cross-sectional study. BMC Cardiovasc Disord 2022; 22:459. [PMID: 36324080 PMCID: PMC9632045 DOI: 10.1186/s12872-022-02888-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022] Open
Abstract
Background & aims For more than eight decades, cardiovascular disease (CVD) has remained the leading cause of death in the world. CVD risk factors are multifaceted, with genetics and lifestyle both playing a role. The aim of this study was to investigate the association between a genetic profile risk score for obesity GRS and cardio-metabolic risk factors in overweight and obese women. Methods The current cross-sectional study was conducted on 391 overweight and obese women. The genetic risk score was created by combining three single nucleotide polymorphisms [MC4R (rs17782313), CAV-1 (rs3807992), and Cry-1 (rs2287161)]. Anthropometric measurements, blood pressure, and some blood parameters were measured by standard protocols. Results A significant association between the GRS and some of cardiometabolic risk factors variables such as body mass index (β = 0. 49, 95%CI = 0.22 to 0.76, p < 0.001), waist circumference (β = 0. 86, 95%CI = 0.18 to 1.54, p = 0.01), body fat mass (β = 0. 82, 95%CI = 0.25 to 1.39, p = 0.005), %body fat (β = 0. 44, 95%CI = 0.06 to 0.82, p = 0.02), and hs-CRP (β = 0.46, 95% CI = 0.14 to 0.78, p = 0.005) was observed in crude model. After adjustment for confounding factors (age, BMI, and physical activity), a significant positive association was observed between BMI (p = 0.004), WC (p = 0.02), body fat mass (p = 0.01), %BF (p = 0.01), hs-CRP (p = 0.009), and GRS. In addition, we discovered a significant negative association between the GRS and BMC (= -0.02, 95%CI = -0.05 to -0.001, p = 0.04). But other variables did not show any significant association with GRS among obese and overweight women. Conclusion We found a significant positive association between GRS, including MC4R (rs17782313), CAV-1 (rs3807992), and Cry-1 (rs2287161) and cardiometabolic risk factors among overweight and obese Iranian women.
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Affiliation(s)
- Fatemeh Gholami
- grid.411705.60000 0001 0166 0922Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P. O Box 6446, 14155 Tehran, Iran
| | - Niloufar Rasaei
- grid.411705.60000 0001 0166 0922Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P. O Box 6446, 14155 Tehran, Iran
| | - Mahsa Samadi
- grid.411705.60000 0001 0166 0922Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P. O Box 6446, 14155 Tehran, Iran
| | - Mir Saeid Yekaninejad
- grid.411705.60000 0001 0166 0922Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Science, Tehran, Iran
| | - Seyed Ali Keshavarz
- grid.411705.60000 0001 0166 0922Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Gholamali Javdan
- grid.412237.10000 0004 0385 452XFood Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Zahra Karimi
- grid.411705.60000 0001 0166 0922Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Science, Tehran, Iran
| | - Khadijeh Mirzaei
- grid.411705.60000 0001 0166 0922Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P. O Box 6446, 14155 Tehran, Iran ,grid.411705.60000 0001 0166 0922 Food Microbiology Research Center, Tehran University of Medical Sciences, Tehran, Iran
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Comas-Armangue G, Makharadze L, Gomez-Velazquez M, Teperino R. The Legacy of Parental Obesity: Mechanisms of Non-Genetic Transmission and Reversibility. Biomedicines 2022; 10:biomedicines10102461. [PMID: 36289722 PMCID: PMC9599218 DOI: 10.3390/biomedicines10102461] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/21/2022] [Accepted: 09/23/2022] [Indexed: 11/27/2022] Open
Abstract
While a dramatic increase in obesity and related comorbidities is being witnessed, the underlying mechanisms of their spread remain unresolved. Epigenetic and other non-genetic mechanisms tend to be prominent candidates involved in the establishment and transmission of obesity and associated metabolic disorders to offspring. Here, we review recent findings addressing those candidates, in the context of maternal and paternal influences, and discuss the effectiveness of preventive measures.
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Affiliation(s)
- Gemma Comas-Armangue
- German Research Center for Environmental Health Neuherberg, Institute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD) Neuherberg, 85764 Neuherberg, Germany
| | - Lela Makharadze
- German Research Center for Environmental Health Neuherberg, Institute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD) Neuherberg, 85764 Neuherberg, Germany
| | - Melisa Gomez-Velazquez
- German Research Center for Environmental Health Neuherberg, Institute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD) Neuherberg, 85764 Neuherberg, Germany
- Correspondence: (M.G.-V.); (R.T.)
| | - Raffaele Teperino
- German Research Center for Environmental Health Neuherberg, Institute of Experimental Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD) Neuherberg, 85764 Neuherberg, Germany
- Correspondence: (M.G.-V.); (R.T.)
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Ali AHA. The common gene MC4R rs17782313 polymorphism associated with obesity: A meta-analysis. HUMAN GENE 2022; 33:201035. [DOI: 10.1016/j.humgen.2022.201035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
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Karamanakos G, Kokkinos A, Dalamaga M, Liatis S. Highlighting the Role of Obesity and Insulin Resistance in Type 1 Diabetes and Its Associated Cardiometabolic Complications. Curr Obes Rep 2022; 11:180-202. [PMID: 35931912 DOI: 10.1007/s13679-022-00477-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/29/2022] [Indexed: 11/30/2022]
Abstract
PURPOSE OF REVIEW This narrative review appraises research data on the potentially harmful effect of obesity and insulin resistance (IR) co-existence with type 1 diabetes mellitus (T1DM)-related cardiovascular (CVD) complications and evaluates possible therapeutic options. RECENT FINDINGS Obesity and IR have increasingly been emerging in patients with T1DM. Genetic, epigenetic factors, and subcutaneous insulin administration are implicated in the pathogenesis of this coexistence. Accumulating evidence implies that the concomitant presence of obesity and IR is an independent predictor of worse CVD outcomes. The prevalence of obesity and IR has increased in patients with T1DM. This increase can be partly attributed to general population trends but, additionally, to iatrogenic weight gain caused by insulin treatment. This association might be the missing link explaining the excess CVD burden observed in patients with T1DM despite optimal glycemic control. Data on newer agents for type 2 diabetes mellitus (T2DM) treatment are unraveling novel ways to challenge this aggravating coexistence.
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Affiliation(s)
- Georgios Karamanakos
- First Department of Propaedeutic Internal Medicine, Medical School, National Kapodistrian University of Athens, Laiko General Hospital, 17 Agiou Thoma Street, Athens, 11527, Greece.
| | - Alexander Kokkinos
- First Department of Propaedeutic Internal Medicine, Medical School, National Kapodistrian University of Athens, Laiko General Hospital, 17 Agiou Thoma Street, Athens, 11527, Greece
| | - Maria Dalamaga
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Stavros Liatis
- First Department of Propaedeutic Internal Medicine, Medical School, National Kapodistrian University of Athens, Laiko General Hospital, 17 Agiou Thoma Street, Athens, 11527, Greece
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Fu L, Cheng H, Zhao X, Hou D, Xie X, Mi J. Distinct causal effects of body fat distribution on cardiometabolic traits among children: Findings from the BCAMS study. Nutr Metab Cardiovasc Dis 2022; 32:1753-1765. [PMID: 35599089 DOI: 10.1016/j.numecd.2022.03.030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 03/28/2022] [Accepted: 03/30/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND AND AIMS Observational studies reveal that different body fat measures are associated with cardiometabolic disease with different effects. However, causality is not reflected by such observations. To explore and compare the causal relationships of general obesity (measured by body mass index (BMI)), adipose obesity (measured by fat mass percentage (FMP)) and central obesity (measured by waist-to-height ratio (WHtR)) with cardiometabolic traits among children. METHODS AND RESULTS We conducted one sample Mendelian randomization (MR) analysis in 3266 children from Beijing Children and Adolescents Metabolic Syndrome Study. Genetic instruments based on 28 SNPs were performed to explore and compare the causal associations of genetically BMI, FMP and WHtR with cardiometabolic traits. The genetic instruments were robustly correlated with observed BMI, FMP and WHtR. Each genetically 1-SD increment in BMI, FMP and WHtR were causally associated with increment in systolic blood pressure (SBP), diastolic blood pressure (DBP), log-transformed fasting plasma glucose (FPG), log-transformed HOMA-β, and decrease in log-transformed high-density lipoprotein cholesterol (HDL), respectively (all P < 0.05 after Bonferroni correction). The receiver operating characteristic curve indicated that BMI and FMP showed stronger effects on SBP, DBP, HOMA-β and HDL than WHtR (all P < 0.05). We also observed causal associations of BMI and FMP with log-transformed fasting insulin and HOMA-IR. CONCLUSIONS The MR analysis based on population-based cohort indicated a causal relationship of adiposity and body fat distribution with cardiometabolic traits. When compared with central obesity, general obesity and adipose obesity might own stronger effects on blood pressure and blood lipids among children.
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Affiliation(s)
- Liwan Fu
- Center for Non-communicable Disease Management, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Hong Cheng
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
| | - Xiaoyuan Zhao
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
| | - Dongqing Hou
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
| | - Xianghui Xie
- Capital Institute of Pediatrics, Beijing, China.
| | - Jie Mi
- Center for Non-communicable Disease Management, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China; Key Laboratory of Major Diseases in Children, Ministry of Education, China.
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Inoue Y, Graff M, Howard AG, Highland HM, Young KL, Harris KM, North KE, Li Y, Duan Q, Gordon-Larsen P. Do adverse childhood experiences and genetic obesity risk interact in relation to body mass index in young adulthood? Findings from the National Longitudinal Study of Adolescent to Adult Health. Pediatr Obes 2022; 17:e12885. [PMID: 35040268 PMCID: PMC9098659 DOI: 10.1111/ijpo.12885] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 11/14/2021] [Accepted: 12/13/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Few studies have focused on the role of adverse childhood experiences (ACEs) in relation to genetic susceptibility to obesity. OBJECTIVE We aimed to examine the interaction between the presence of ACEs (i.e., physical, psychological and sexual abuse) before the age of 18 and BMI polygenic score. METHODS Data came from the National Longitudinal Study of Adolescent to Adult Health (Add Health) Wave IV (2007/2008) where saliva samples were collected for DNA genotyping and information on BMI and ACEs were obtained from 5854 European American (EA), 2073 African American (AA) and 1448 Hispanic American (HA) participants aged 24 to 32 years old. Polygenic scores were calculated as the sum of the number of risk alleles of BMI-related SNPs which were weighted by effect size. A race/ethnicity-stratified mixed-effects linear regression model was used to test for differential association between BMI polygenic score and BMI by the presence of ACEs. RESULTS We did not find any evidence of significant interaction between ACEs and polygenic score in relation to BMI among EA (p = 0.289), AA (p = 0.618) or HA (p = 0.870). In main effects models, polygenic score was positively associated with BMI in all race/ethnic groups, yet the presence of ACEs was associated with increased BMI only among EA. CONCLUSION We did not find any evidence that ACEs exacerbate genetic predisposition to increased BMI in early adulthood.
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Affiliation(s)
- Yosuke Inoue
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
- Department of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, 162-8655, Japan
| | - Mariaelisa Graff
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Annie Green Howard
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
- Department of Biostatistics, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Heather M. Highland
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Kristin L. Young
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Kathleen Mullan Harris
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
- Department of Sociology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Kari E. North
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yun Li
- Department of Biostatistics, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Qing Duan
- Department of Biostatistics, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Penny Gordon-Larsen
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
- Department of Nutrition, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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Tao YX. Mutations in melanocortin-4 receptor: From fish to men. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2022; 189:215-257. [PMID: 35595350 DOI: 10.1016/bs.pmbts.2022.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Melanocortin-4 receptor (MC4R), expressed abundantly in the hypothalamus, is a critical regulator of energy homeostasis, including both food intake and energy expenditure. Shortly after the publication in 1997 of the Mc4r knockout phenotypes in mice, including increased food intake and severe obesity, the first mutations in MC4R were reported in humans in 1998. Studies in the subsequent two decades have established MC4R mutation as the most common monogenic form of obesity, especially in early-onset severe obesity. Studies in animals, from fish to mammals, have established the conserved physiological roles of MC4R in all vertebrates in regulating energy balance. Drug targeting MC4R has been recently approved for treating morbid genetic obesity. How the MC4R can be exploited for animal production is highly worthy of active investigation.
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Affiliation(s)
- Ya-Xiong Tao
- Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.
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The Obesogenic and Glycemic Effect of Bariatric Surgery in a Family with a Melanocortin 4 Receptor Loss-of-Function Mutation. Metabolites 2022; 12:metabo12050430. [PMID: 35629934 PMCID: PMC9143288 DOI: 10.3390/metabo12050430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 05/04/2022] [Accepted: 05/09/2022] [Indexed: 01/25/2023] Open
Abstract
We report the long-term response to bariatric surgery in a singular family of four adolescents with severe obesity (41–82 kg/m2), homozygous for the C271R loss-of-function mutation in the melanocortin 4 receptor (MC4R), and three adults heterozygous for the same mutation. All patients had similar sociodemographic backgrounds and were followed for an average of 7 years. Three of the four homozygous patients regained their full weight (42–77 kg/m2), while the fourth lost weight but remained obese with a body mass index of 60 kg/m2. Weight regain was associated with relapse of most comorbidities, yet hyperglycemia did not relapse or was delayed. A1c levels were reduced in homozygous and heterozygous patients. The long-term follow-up data on this very unique genetic setting show that weight loss and amelioration of obesity following bariatric surgery require active MC4R signaling, while the improvement in glycemia is in part independent of weight loss. The study validates animal models and demonstrates the importance of biological signaling in the regulation of weight, even after bariatric surgery.
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Wang Y, Pan L, Wan S, Yihuo W, Yang F, He H, Li Z, Yong Z, Shan G. MC4R Gene Polymorphisms Interact With the Urbanized Living Environment on Obesity: Results From the Yi Migrant Study. Front Genet 2022; 13:849138. [PMID: 35495128 PMCID: PMC9046839 DOI: 10.3389/fgene.2022.849138] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 03/22/2022] [Indexed: 11/28/2022] Open
Abstract
Objectives: This study aimed to determine the association of MC4R gene polymorphisms (rs17782313 and rs12970134) and urbanized living environment and the gene–environment interaction with obesity in Yi people in China. Methods: A 1:2 frequency-matched case–control study based on the cross-sectional data was designed. Those with BMI ≥28 kg/m2 were included as the case group. The age- and sex-matched controls were selected from those with BMI <24 kg/m2. Unconditional logistic models were used to determine the association of SNPs with obesity. Additive interaction was evaluated by calculating relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (SI). Results: A total of 322 cases and 643 controls were included. After adjustment, allele C of rs17782313 was significantly associated with obesity (additive model, OR = 1.52, 95%CI: 1.18–1.96) in Yi people. A similar association was found in allele A of rs12970134 (additive model, OR = 1.45, 95%CI: 1.13–1.89). Yi rural-to-urban migrants were found at 2.59-fold (95%CI: 1.70–3.95) higher odds of obesity than Yi farmers. Additive interactions were found between the two SNPs and rural-to-urban migration (rs17782313: AP = 0.65, 95%CI: 0.22–1.09; rs12970134: AP = 0.59, 95%CI: 0.02–1.17). Conclusion:MC4R gene polymorphisms positively interacted with the urbanized living environment on obesity in Yi people. The effect of the MC4R gene on obesity was modified by the living environment.
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Affiliation(s)
- Ye Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li Pan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Shaoping Wan
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Wuli Yihuo
- Puge Center for Disease Control and Prevention, Liangshan, China
| | - Fang Yang
- Xichang Center for Disease Control and Prevention, Liangshan, China
| | - Huijing He
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Zheng Li
- Xichang Center for Disease Control and Prevention, Liangshan, China
| | - Zhengping Yong
- Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, Chengdu, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
- *Correspondence: Guangliang Shan,
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Mardones L, Parra-Valencia E, Petermann-Rocha F, Martínez-Sanguinetti MA, Leiva-Ordoñez AM, Lasserre-Laso N, Martorell M, Ulloa N, Sanhueza E, Pérez-Bravo F, Celis-Morales C, Villagrán M. The rs483145 polymorphism of MC4R gene is not associated with obesity in the Chilean population: Results of GENADIO study. ENDOCRINOL DIAB NUTR 2022; 69:254-261. [PMID: 35570141 DOI: 10.1016/j.endien.2022.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 06/04/2021] [Accepted: 06/05/2021] [Indexed: 06/15/2023]
Abstract
INTRODUCTION The melanocortin receptor 4 (MC4R) participates in the control of appetite at the level of the central nervous system, through the leptin-melanocortin pathway. An association between different polymorphisms of the MC4R gene and obesity has been reported. However, there are few studies of the rs483145 single nucleotide polymorphism (SNP) of this gene. OBJECTIVE To investigate its prevalence and association with adiposity markers in Chilean adults. METHODS The prevalence of SNP rs483145, of the MC4R gene, was determined in 259 participants of the GENADIO study (genes, environment, diabetes and obesity) by means of real-time polymerase chain reaction (PCR). The association between the risk allele of MC4R (A) and adiposity markers (body weight, body mass index, fat mass percentage, hip circumference, waist circumference, waist-to-hip ratio) was performed by linear regression analysis and adjusted for confusion variables (socio-demographic and physic activity) using three statistical models. RESULTS It was determined that the prevalence of the risk allele (A) of the SNP rs483145 of the MC4R gene is 24.5% in the Chilean adult population included in this study, without finding an association with any of the adiposity markers studied, both in adjusted and unadjusted models. CONCLUSION The presence of the risk allele of SNP rs483145 of the MC4R gene is not associated with adiposity markers in the Chilean adult population studied. New studies with a bigger sample size will be necessary to confirm these results.
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Affiliation(s)
- Lorena Mardones
- Laboratorio de Investigación en Ciencias Biomédicas, Facultad de Medicina, Universidad Católica de la Santísima Concepción, Concepción, Chile
| | - Esteban Parra-Valencia
- Departamento de Ciencias Clínicas y Pre-Clínicas, Facultad de Medicina, Universidad Católica de la Santísima Concepción, Concepción, Chile
| | - Fanny Petermann-Rocha
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK; Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | | | - Ana María Leiva-Ordoñez
- Instituto de Anatomía, Histología y Patología, Facultad de Medicina, Universidad Austral de Chile, Valdivia, Chile
| | - Nicole Lasserre-Laso
- Escuela de Nutrición y Dietética, Facultad de Salud, Universidad Santo Tomas, Región Metropolitana, Chile
| | - Miquel Martorell
- Centro de Vida Saludable, Universidad de Concepción, Concepción, Chile; Departamento de Nutrición y Dietética, Facultad de Farmacia, Universidad de Concepción, Concepción, Chile
| | - Natalia Ulloa
- Centro de Vida Saludable, Universidad de Concepción, Concepción, Chile; Departamento de Bioquímica Clínica e Inmunología, Facultad de Farmacia, Universidad de Concepción, Concepción, Chile
| | - Eduardo Sanhueza
- Laboratorio de Investigación en Ciencias Biomédicas, Facultad de Medicina, Universidad Católica de la Santísima Concepción, Concepción, Chile
| | - Francisco Pérez-Bravo
- Instituto de Nutrición y Tecnología de los Alimentos (INTA), Universidad de Chile, Santiago, Chile
| | - Carlos Celis-Morales
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK; Centro de Investigación en Fisiología del Ejercicio (CIFE), Universidad Mayor, Santiago, Chile; Laboratorio de Rendimiento Humano, Grupo de Estudio en Educación, Actividad Física y Salud (GEEAFyS), Universidad Católica del Maule, Talca, Chile
| | - Marcelo Villagrán
- Laboratorio de Investigación en Ciencias Biomédicas, Facultad de Medicina, Universidad Católica de la Santísima Concepción, Concepción, Chile.
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Goit RK, Taylor AW, Yin Lo AC. The central melanocortin system as a treatment target for obesity and diabetes: A brief overview. Eur J Pharmacol 2022; 924:174956. [DOI: 10.1016/j.ejphar.2022.174956] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 04/01/2022] [Accepted: 04/11/2022] [Indexed: 12/12/2022]
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Schlauch KA, Read RW, Neveux I, Lipp B, Slonim A, Grzymski JJ. The Impact of ACEs on BMI: An Investigation of the Genotype-Environment Effects of BMI. Front Genet 2022; 13:816660. [PMID: 35342390 PMCID: PMC8942770 DOI: 10.3389/fgene.2022.816660] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 02/04/2022] [Indexed: 12/31/2022] Open
Abstract
Adverse Childhood Experiences are stressful and traumatic events occurring before the age of eighteen shown to cause mental and physical health problems, including increased risk of obesity. Obesity remains an ongoing national challenge with no predicted solution. We examine a subset of the Healthy Nevada Project, focusing on a multi-ethnic cohort of 15,886 sequenced participants with recalled adverse childhood events, to study how ACEs and their genotype-environment interactions affect BMI. Specifically, the Healthy Nevada Project participants sequenced by the Helix Exome+ platform were cross-referenced to their electronic medical records and social health determinants questionnaire to identify: 1) the effect of ACEs on BMI in the absence of genetics; 2) the effect of genotype-environment interactions on BMI; 3) how these gene-environment interactions differ from standard genetic associations of BMI. The study found very strong significant associations between the number of adverse childhood experiences and adult obesity. Additionally, we identified fifty-five common and rare variants that exhibited gene-interaction effects including three variants in the CAMK1D gene and four variants in LHPP; both genes are linked to schizophrenia. Surprisingly, none of the variants identified with interactive effects were in canonical obesity-related genes. Here we show the delicate balance between genes and environment, and how the two strongly influence each other.
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Affiliation(s)
- Karen A Schlauch
- Center for Genomic Medicine, Desert Research Institute, Reno, NV, United States
| | - Robert W Read
- Center for Genomic Medicine, Desert Research Institute, Reno, NV, United States
| | - Iva Neveux
- Center for Genomic Medicine, Desert Research Institute, Reno, NV, United States
| | - Bruce Lipp
- Center for Genomic Medicine, Desert Research Institute, Reno, NV, United States
| | | | - Joseph J Grzymski
- Center for Genomic Medicine, Desert Research Institute, Reno, NV, United States.,Renown Health, Reno, NV, United States
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Valeeva FV, Medvedeva MS, Khasanova KB, Valeeva EV, Kiseleva TA, Egorova ES, Pickering C, Ahmetov II. Association of gene polymorphisms with body weight changes in prediabetic patients. Mol Biol Rep 2022; 49:4217-4224. [PMID: 35292917 PMCID: PMC9262768 DOI: 10.1007/s11033-022-07254-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 02/09/2022] [Indexed: 10/28/2022]
Abstract
BACKGROUND Recent research has demonstrated that Type 2 Diabetes (T2D) risk is influenced by a number of common polymorphisms, including MC4R rs17782313, PPARG rs1801282, and TCF7L2 rs7903146. Knowledge of the association between these single nucleotide polymorphisms (SNPs) and body weight changes in different forms of prediabetes treatment is still limited. The aim of this study was to investigate the association of polymorphisms within the MC4R, PPARG, and TCF7L2 genes on the risk of carbohydrate metabolism disorders and body composition changes in overweight or obese patients with early carbohydrate metabolism disorders. METHODS AND RESULTS From 327 patients, a subgroup of 81 prediabetic female patients (48.7 ± 14.8 years) of Eastern European descent participated in a 3-month study comprised of diet therapy or diet therapy accompanied with metformin treatment. Bioelectrical impedance analysis and genotyping of MC4R rs17782313, PPARG rs1801282, and TCF7L2 rs7903146 polymorphisms were performed. The MC4R CC and TCF7L2 TT genotypes were associated with increased risk of T2D (OR = 1.46, p = 0.05 and OR = 2.47, p = 0.006, respectively). PPARG CC homozygotes experienced increased weight loss; however, no additional improvements were experienced with the addition of metformin. MC4R TT homozygotes who took metformin alongside dietary intervention experienced increased weight loss and reductions in fat mass (p < 0.05). CONCLUSIONS We have shown that the obesity-protective alleles (MC4R T and PPARG C) were positively associated with weight loss efficiency. Furthermore, we confirmed the previous association of the MC4R C and TCF7L2 T alleles with T2D risk.
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Affiliation(s)
- Farida V Valeeva
- Department of Endocrinology, Kazan State Medical University, Kazan, Russia
| | - Mariya S Medvedeva
- Department of Endocrinology, Kazan State Medical University, Kazan, Russia
| | | | - Elena V Valeeva
- Laboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia.,Department of Biochemistry, Biotechnology and Pharmacology, Kazan Federal (Volga Region) University, Kazan, Russia
| | - Tatyana A Kiseleva
- Department of Endocrinology, Kazan State Medical University, Kazan, Russia
| | - Emiliya S Egorova
- Laboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia
| | - Craig Pickering
- Institute of Coaching and Performance, School of Sport and Wellbeing, University of Central Lancashire, Preston, UK
| | - Ildus I Ahmetov
- Laboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia. .,Department of Physical Education, Plekhanov Russian University of Economics, Moscow, Russia. .,Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK.
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Liu Y, Wang Y, Qin S, Jin X, Jin L, Gu W, Mu Y. Insights Into Genome-Wide Association Study for Diabetes: A Bibliometric and Visual Analysis From 2001 to 2021. Front Endocrinol (Lausanne) 2022; 13:817620. [PMID: 35360064 PMCID: PMC8963272 DOI: 10.3389/fendo.2022.817620] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 02/07/2022] [Indexed: 12/24/2022] Open
Abstract
Hundreds of research and review articles concerning genome-wide association study (GWAS) in diabetes have been published in the last two decades. We aimed to evaluate the hotspots and future trends in GWAS in diabetes research through bibliometric analysis. Accordingly, 567 research and review articles published between 2001 and 2021 were included. A rising trend was noted in the annual number of publications and citations on GWAS in diabetes during this period. Harvard University and Harvard Medical School have played leading roles in genome research. Hotspot analyses indicated that DNA methylation and genetic variation, especially in type 2 diabetes mellitus, are likely to remain the research hotspots. Moreover, the identification of genetic phenotypes associated with adiposity, metabolic memory, pancreatic islet, and inflammation is the leading trend in this research field. Through this review, we provide predictions on the main research trends in the future so as to shed light on new directions and ideas for further investigations on the genetic etiology of diabetes for its prevention and treatment.
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Affiliation(s)
- Yang Liu
- Department of Endocrinology, the First Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Department of Endocrinology, the Eighth Medical Center of People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Yun Wang
- Department of Endocrinology, the First Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Shan Qin
- Department of Endocrinology, the First Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Xinye Jin
- Department of Endocrinology, the First Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- Department of Nephrology, Hainan Hospital of Chinese People’s Liberation Army (PLA) General Hospital, Academician Chen Xiangmei of Hainan Province Kidney Diseases Research Team Innovation Center, Sanya, China
| | - Lingzi Jin
- Department of International Medical Services, Peking Union Medical College Hospital, Beijing, China
| | - Weijun Gu
- Department of Endocrinology, the First Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Yiming Mu
- Department of Endocrinology, the First Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
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Marcos-Pasero H, Aguilar-Aguilar E, de la Iglesia R, Espinosa-Salinas I, Molina S, Colmenarejo G, Martínez JA, Ramírez de Molina A, Reglero G, Loria-Kohen V. "GENYAL" Study to Childhood Obesity Prevention: Methodology and Preliminary Results. Front Nutr 2022; 9:777384. [PMID: 35350411 PMCID: PMC8957940 DOI: 10.3389/fnut.2022.777384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 02/04/2022] [Indexed: 11/13/2022] Open
Abstract
Objective This article describes the methodology and summarizes some preliminary results of the GENYAL study aiming to design and validate a predictive model, considering both environmental and genetic factors, that identifies children who would benefit most from actions aimed at reducing the risk of obesity and its complications. Design The study is a cluster randomized clinical trial with 5-year follow-up. The initial evaluation was carried out in 2017. The schools were randomly split into intervention (nutritional education) and control schools. Anthropometric measurements, social and health as well as dietary and physical activity data of schoolchildren and their families are annually collected. A total of 26 single nucleotide polymorphisms (SNPs) were assessed. Machine Learning models are being designed to predict obesity phenotypes after the 5-year follow-up. Settings Six schools in Madrid. Participants A total of 221 schoolchildren (6-8 years old). Results Collected results show that the prevalence of excess weight was 19.0, 25.4, and 32.2% (according to World Health Organization, International Obesity Task Force and Orbegozo Foundation criteria, respectively). Associations between the nutritional state of children with mother BMI [β = 0.21 (0.13-0.3), p (adjusted) <0.001], geographical location of the school [OR = 2.74 (1.24-6.22), p (adjusted) = 0.06], dairy servings per day [OR = 0.48 (0.29-0.75), p (adjusted) = 0.05] and 8 SNPs [rs1260326, rs780094, rs10913469, rs328, rs7647305, rs3101336, rs2568958, rs925946; p (not adjusted) <0.05] were found. Conclusions These baseline data support the evidence that environmental and genetic factors play a role in the development of childhood obesity. After 5-year follow-up, the GENYAL study pretends to validate the predictive model as a new strategy to fight against obesity. Clinical Trial Registration This study has been registered in ClinicalTrials.gov with the identifier NCT03419520, https://clinicaltrials.gov/ct2/show/NCT03419520.
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Affiliation(s)
- Helena Marcos-Pasero
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
- Faculty of Health Sciences, Valencian International University (VIU), Valencia, Spain
| | - Elena Aguilar-Aguilar
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Rocío de la Iglesia
- Departamento de Ciencias Farmaceúticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Isabel Espinosa-Salinas
- Nutritional Genomics and Health Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Susana Molina
- GenyalLab, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Gonzalo Colmenarejo
- Biostatistics and Bioinformatics Unit, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - J. Alfredo Martínez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
- IdisNA, Navarra Institute for Health Research, Pamplona, Spain
- Center of Biomedical Research in Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain
| | - Ana Ramírez de Molina
- Molecular Oncology and Nutritional Genomics of Cancer, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Guillermo Reglero
- Production and Development of Foods for Health, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
- Department of Production and Characterization of Novel Foods, Institute of Food Science Research (CIAL), CEI UAM+CSIC, Madrid, Spain
| | - Viviana Loria-Kohen
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
- Departamento de Nutrición y Ciencia de los Alimentos, Facultad de Farmacia, Universidad Complutense de Madrid, Grupo de Investigación VALORNUT-UCM, Madrid, Spain
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Lopera-Maya EA, Kurilshikov A, van der Graaf A, Hu S, Andreu-Sánchez S, Chen L, Vila AV, Gacesa R, Sinha T, Collij V, Klaassen MAY, Bolte LA, Gois MFB, Neerincx PBT, Swertz MA, Harmsen HJM, Wijmenga C, Fu J, Weersma RK, Zhernakova A, Sanna S. Effect of host genetics on the gut microbiome in 7,738 participants of the Dutch Microbiome Project. Nat Genet 2022; 54:143-151. [PMID: 35115690 DOI: 10.1038/s41588-021-00992-y] [Citation(s) in RCA: 138] [Impact Index Per Article: 69.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 11/19/2021] [Indexed: 02/07/2023]
Abstract
Host genetics are known to influence the gut microbiome, yet their role remains poorly understood. To robustly characterize these effects, we performed a genome-wide association study of 207 taxa and 205 pathways representing microbial composition and function in 7,738 participants of the Dutch Microbiome Project. Two robust, study-wide significant (P < 1.89 × 10-10) signals near the LCT and ABO genes were found to be associated with multiple microbial taxa and pathways and were replicated in two independent cohorts. The LCT locus associations seemed modulated by lactose intake, whereas those at ABO could be explained by participant secretor status determined by their FUT2 genotype. Twenty-two other loci showed suggestive evidence (P < 5 × 10-8) of association with microbial taxa and pathways. At a more lenient threshold, the number of loci we identified strongly correlated with trait heritability, suggesting that much larger sample sizes are needed to elucidate the remaining effects of host genetics on the gut microbiome.
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Affiliation(s)
- Esteban A Lopera-Maya
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Alexander Kurilshikov
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Adriaan van der Graaf
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Shixian Hu
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Sergio Andreu-Sánchez
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Lianmin Chen
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Arnau Vich Vila
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ranko Gacesa
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Trishla Sinha
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Valerie Collij
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Marjiolein A Y Klaassen
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Laura A Bolte
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Milla F Brandao Gois
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Pieter B T Neerincx
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, the Netherlands
| | - Morris A Swertz
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, the Netherlands
| | - Hermie J M Harmsen
- Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Cisca Wijmenga
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Jingyuan Fu
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Rinse K Weersma
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Alexandra Zhernakova
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
| | - Serena Sanna
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
- Institute for Genetic and Biomedical Research (IRGB), National Research Council (CNR), Cagliari, Italy.
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Isgin-Atici K, Alathari BE, Turan-Demirci B, Sendur SN, Lay I, Ellahi B, Alikasifoglu M, Erbas T, Buyuktuncer Z, Vimaleswaran KS. Interaction between Dietary Fat Intake and Metabolic Genetic Risk Score on 25-Hydroxyvitamin D Concentrations in a Turkish Adult Population. Nutrients 2022; 14:382. [PMID: 35057563 PMCID: PMC8778439 DOI: 10.3390/nu14020382] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 01/10/2022] [Accepted: 01/14/2022] [Indexed: 12/19/2022] Open
Abstract
Previous studies have pointed out a link between vitamin D status and metabolic traits, however, consistent evidence has not been provided yet. This cross-sectional study has used a nutrigenetic approach to investigate the interaction between metabolic-genetic risk score (GRS) and dietary intake on serum 25-hydroxyvitamin D [25(OH)D] concentrations in 396 unrelated Turkish adults, aged 24-50 years. Serum 25(OH)D concentration was significantly lower in those with a metabolic-GRS ≥ 1 risk allele than those with a metabolic-GRS < 1 risk allele (p = 0.020). A significant interaction between metabolic-GRS and dietary fat intake (energy%) on serum 25(OH)D levels was identified (Pinteraction = 0.040). Participants carrying a metabolic-GRS ≥ 1 risk allele and consuming a high fat diet (≥38% of energy = 122.3 ± 52.51 g/day) had significantly lower serum 25(OH)D concentration (p = 0.006) in comparison to those consuming a low-fat diet (<38% of energy = 82.5 ± 37.36 g/d). In conclusion, our study suggests a novel interaction between metabolic-GRS and dietary fat intake on serum 25(OH)D level, which emphasises that following the current dietary fat intake recommendation (<35% total fat) could be important in reducing the prevalence of vitamin D deficiency in this Turkish population. Nevertheless, further larger studies are needed to verify this interaction, before implementing personalized dietary recommendations for the maintenance of optimal vitamin D status.
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Affiliation(s)
- Kubra Isgin-Atici
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, Ankara 06230, Turkey; (K.I.-A.); (B.T.-D.)
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Amasya University, Amasya 05000, Turkey
| | - Buthaina E. Alathari
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading RG6 6DZ, UK;
- Department of Food Science and Nutrition, Faculty of Health Sciences, The Public Authority for Applied Education and Training, AlFaiha 72853, Kuwait
| | - Busra Turan-Demirci
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, Ankara 06230, Turkey; (K.I.-A.); (B.T.-D.)
| | - Suleyman Nahit Sendur
- Department of Endocrinology and Metabolism, School of Medicine, Hacettepe University, Ankara 06230, Turkey; (S.N.S.); (T.E.)
| | - Incilay Lay
- Department of Medical Biochemistry, Faculty of Medicine, Hacettepe University, Ankara 06230, Turkey;
- Clinical Pathology Laboratory, Hacettepe University Hospitals, Ankara 06230, Turkey
| | - Basma Ellahi
- Faculty of Health and Social Care, University of Chester, Chester CH1 4DS, UK;
| | - Mehmet Alikasifoglu
- Department of Medical Genetics, School of Medicine, Hacettepe University, Ankara 06230, Turkey;
- Genetics Diagnostic Centre, DAMAGEN, Ankara 06230, Turkey
| | - Tomris Erbas
- Department of Endocrinology and Metabolism, School of Medicine, Hacettepe University, Ankara 06230, Turkey; (S.N.S.); (T.E.)
| | - Zehra Buyuktuncer
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, Ankara 06230, Turkey; (K.I.-A.); (B.T.-D.)
| | - Karani Santhanakrishnan Vimaleswaran
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading RG6 6DZ, UK;
- Institute for Food, Nutrition, and Health, University of Reading, Reading RG6 6AH, UK
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Moazzam-Jazi M, Sadat Zahedi A, Akbarzadeh M, Azizi F, Daneshpour MS. Diverse effect of MC4R risk alleles on obesity-related traits over a lifetime: Evidence from a well-designed cohort study. Gene 2022; 807:145950. [PMID: 34481003 DOI: 10.1016/j.gene.2021.145950] [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: 05/15/2021] [Revised: 08/26/2021] [Accepted: 08/30/2021] [Indexed: 11/30/2022]
Abstract
This population-based longitudinal study is the first investigation that assesses the association of common MC4R SNPs with the obesity-related parameters over time and determines the effect of risk alleles during the three adulthood life periods (early, middle, and late) in a large Iranian cohort, a population with a unique genetic make-up that has been understudied and relatively unexplored. We obtained the genotype of 5370 unrelated adults who participated in the ongoing Tehran Cardiometabolic Genetic Study (TCGS) cohort project for the common MC4R SNPs. Linear regression and linear mixed model analyses were performed to examine the effect of MC4R polymorphisms on maximum BMI and other obesity-related factors over time. We recognized that several SNPs associated with the maximum BMI and the increased BMI, waist circumference, and waist-hip ratio across Iranian adults over a lifetime. Interestingly, we found that rs9954571-A has a yet unreported protective role against obesity-related factors, including BMI, waist circumference, waist-hip ratio, and triglyceride level. Additionally, a survey of the impact of the MC4R risk score throughout the adulthood life periods indicated that the MC4R risk score is influenced both the elevated BMI and waist circumference only during the early adulthood period. Our findings can expand our knowledge about the MC4R genetic variant's contributions to adulthood obesity and highlight the importance of evaluating the genetic components affecting obesity over a lifetime, which could be considered for obesity clinical screening and treatment.
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Affiliation(s)
- Maryam Moazzam-Jazi
- Cellular, and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Asiyeh Sadat Zahedi
- Cellular, and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mahdi Akbarzadeh
- Cellular, and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Cellular, and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam S Daneshpour
- Cellular, and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Abstract
The prevalence of obesity has tripled over the past four decades, imposing an enormous burden on people's health. Polygenic (or common) obesity and rare, severe, early-onset monogenic obesity are often polarized as distinct diseases. However, gene discovery studies for both forms of obesity show that they have shared genetic and biological underpinnings, pointing to a key role for the brain in the control of body weight. Genome-wide association studies (GWAS) with increasing sample sizes and advances in sequencing technology are the main drivers behind a recent flurry of new discoveries. However, it is the post-GWAS, cross-disciplinary collaborations, which combine new omics technologies and analytical approaches, that have started to facilitate translation of genetic loci into meaningful biology and new avenues for treatment.
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Affiliation(s)
- Ruth J. F. Loos
- grid.5254.60000 0001 0674 042XNovo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark ,grid.59734.3c0000 0001 0670 2351Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Giles S. H. Yeo
- MRC Metabolic Diseases Unit, University of Cambridge Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
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