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Yang Z, Li N, Cui H, Liu B, Wang X, Zhang L, Wang X, Zheng L, Yang X, Wu S, Hu J, Wen D. Influence of the Interaction between Genetic Factors and Breastfeeding on Children's Weight Status: A Systematic Review. Adv Nutr 2024; 15:100312. [PMID: 39389470 PMCID: PMC11566687 DOI: 10.1016/j.advnut.2024.100312] [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: 05/18/2024] [Revised: 10/04/2024] [Accepted: 10/07/2024] [Indexed: 10/12/2024] Open
Abstract
Breastfeeding may interact with other risk factors and have a combined influence on child growth. This systematic review aimed to examine the interaction between genetic factors and breastfeeding and how their combination is associated with children weight status. Four databases were searched until August 2024, and 8 eligible studies were identified. The fat mass and obesity associated (FTO) and peroxisome proliferator-activated receptor γ2 (PPARG2) genes were the most examined genes. Although the results of interactions between breastfeeding and genetics factors on children's weight status were inconsistent, some of studies reported that breastfeeding or exclusive breastfeeding attenuated the disadvantageous association between the risk alleles of the genes (higher obesity-specific genetic risk score for a multiple-gene study) and overdevelopment of children's body weight. These findings support the WHO recommendations for prolonged breastfeeding and further suggest breastfeeding interventions to prevent childhood obesity may be more effective in populations with a disadvantageous genetic predisposition. This review was registered in PROSPERO as CRD42023448365.
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Affiliation(s)
- Zhe Yang
- Health Sciences Institute, China Medical University, Shenyang, China; Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China; Liaoning Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang, China
| | - Na Li
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China
| | - Hong Cui
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China
| | - Borui Liu
- Health Sciences Institute, China Medical University, Shenyang, China; Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China; Liaoning Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang, China
| | - Xue Wang
- Medical Information Research Department/Library, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Xiaochuan Wang
- Health Sciences Institute, China Medical University, Shenyang, China; Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China; Liaoning Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang, China
| | - Lu Zheng
- Health Sciences Institute, China Medical University, Shenyang, China; Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China; Liaoning Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang, China
| | - Xinyue Yang
- Health Sciences Institute, China Medical University, Shenyang, China; Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China; Liaoning Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang, China
| | - Shuqi Wu
- Health Sciences Institute, China Medical University, Shenyang, China; Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China; Liaoning Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang, China
| | - Jiajin Hu
- Health Sciences Institute, China Medical University, Shenyang, China; Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China; Liaoning Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang, China.
| | - Deliang Wen
- Health Sciences Institute, China Medical University, Shenyang, China; Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China; Liaoning Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang, China.
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Köroğlu Ç, Traurig M, Muller YL, Day SE, Piaggi P, Wiedrich K, Vazquez L, Hanson RL, Van Hout CV, Alkelai A, Shuldiner AR, Bogardus C, Baier LJ. Identification and functional validation of rare coding variants in genes linked to monogenic obesity. Obesity (Silver Spring) 2024; 32:1769-1777. [PMID: 39192769 PMCID: PMC11361714 DOI: 10.1002/oby.24101] [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: 01/01/2024] [Revised: 04/12/2024] [Accepted: 05/21/2024] [Indexed: 08/29/2024]
Abstract
OBJECTIVE Rare cases of monogenic obesity, which may respond to specific therapeutics, can remain undetected in populations in which polygenic obesity is prevalent. This study examined rare DNA variation in established monogenic obesity genes within a community using whole-exome sequence data from 6803 longitudinally studied individuals. METHODS Exome data across 15 monogenic obesity genes were analyzed for nonsynonymous variants observed in any child with a maximum BMI z score > 2 (N = 279) but not observed in a child with a maximum BMI z score ≤ 0 (n = 1542) or that occurred in adults in the top 5th percentile of BMI (n = 263) but not in adults below the median BMI (n = 2629). Variants were then functionally analyzed using luciferase assays. RESULTS The comparisons between cases of obesity and controls identified eight missense variants in six genes: DYRK1B, KSR2, MC4R, NTRK2, PCSK1, and SIM1. Among these, MC4R p.A303P and p.R165G were previously shown to impair MC4R function. Functional analyses of the remaining six variants suggest that KSR2 p.I402F and p.T193I and NTRK2 p.S249Y alter protein function. CONCLUSIONS In addition to MC4R, rare missense variants in KSR2 and NTRK2 may potentially explain the severe obesity observed for the carriers.
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Affiliation(s)
- Çiğdem Köroğlu
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Michael Traurig
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Yunhua L. Muller
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Samantha E. Day
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Paolo Piaggi
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Kim Wiedrich
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Laura Vazquez
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Robert L. Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Cristopher V. Van Hout
- Laboratorio Internacional de Investigation sobre el Genoma Humano, Universidad Nacional Autonoma de Mexico Campus Juriquilla, Queretaro, Mexico
| | | | | | - Clifton Bogardus
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Leslie J. Baier
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
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Windholz J, Kovacs P, Schlicke M, Franke C, Mahajan A, Morris AP, Lemke JR, Klammt J, Kiess W, Schöneberg T, Pfäffle R, Körner A. Copy number variations in "classical" obesity candidate genes are not frequently associated with severe early-onset obesity in children. J Pediatr Endocrinol Metab 2017; 30:507-515. [PMID: 28593922 DOI: 10.1515/jpem-2016-0435] [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: 11/22/2016] [Accepted: 03/06/2017] [Indexed: 11/15/2022]
Abstract
BACKGROUND Obesity is genetically heterogeneous and highly heritable, although polymorphisms explain the phenotype in only a small proportion of obese children. We investigated the presence of copy number variations (CNVs) in "classical" genes known to be associated with (monogenic) early-onset obesity in children. METHODS In 194 obese Caucasian children selected for early-onset and severe obesity from our obesity cohort we screened for deletions and/or duplications by multiplex ligation-dependent probe amplification reaction (MLPA). As we found one MLPA probe to interfere with a polymorphism in SIM1 we investigated its association with obesity and other phenotypic traits in our extended cohort of 2305 children. RESULTS In the selected subset of most severely obese children, we did not find CNV with MLPA in POMC, LEP, LEPR, MC4R, MC3R or MC2R genes. However, one SIM1 probe located at exon 9 gave signals suggestive for SIM1 insufficiency in 52 patients. Polymerase chain reaction (PCR) analysis identified this as a false positive result due to interference with single nucleotide polymorphism (SNP) rs3734354/rs3734355. We, therefore, investigated for associations of this polymorphism with obesity and metabolic traits in our extended cohort. We found rs3734354/rs3734355 to be associated with body mass index-standard deviation score (BMI-SDS) (p = 0.003), but not with parameters of insulin metabolism, blood pressure or food intake. CONCLUSIONS In our modest sample of severely obese children, we were unable to find CNVs in well-established monogenic obesity genes. Nevertheless, we found an association of rs3734354 in SIM1 with obesity of early-onset type in children, although not with obesity-related traits.
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Affiliation(s)
- Jan Windholz
- Pediatric Research Center, University Hospital for Children and Adolescents, Medical Faculty, University of Leipzig, Leipzig
| | - Peter Kovacs
- Leipzig University Medical Center, IFB AdiposityDiseases, University of Leipzig, Leipzig
| | - Marina Schlicke
- Pediatric Research Center, University Hospital for Children and Adolescents, Medical Faculty, University of Leipzig, Leipzig
| | - Christin Franke
- Institute of Biochemistry, Molecular Biochemistry, Medical Faculty, University of Leipzig, Leipzig
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford
| | - Andrew P Morris
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford
| | - Johannes R Lemke
- Institute of Human Genetics, Medical Faculty, University of Leipzig, Leipzig
| | - Jürgen Klammt
- Pediatric Research Center, University Hospital for Children and Adolescents, Medical Faculty, University of Leipzig, Leipzig
| | - Wieland Kiess
- Pediatric Research Center, University Hospital for Children and Adolescents, Medical Faculty, University of Leipzig, Leipzig
| | - Torsten Schöneberg
- Institute of Biochemistry, Molecular Biochemistry, Medical Faculty, University of Leipzig, Leipzig
| | - Roland Pfäffle
- Pediatric Research Center, University Hospital for Children and Adolescents, Medical Faculty, University of Leipzig, Leipzig
| | - Antje Körner
- Pediatric Research Center, University Hospital for Children and Adolescents, Medical Faculty, University of Leipzig, Leipzig
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Yazdi FT, Clee SM, Meyre D. Obesity genetics in mouse and human: back and forth, and back again. PeerJ 2015; 3:e856. [PMID: 25825681 PMCID: PMC4375971 DOI: 10.7717/peerj.856] [Citation(s) in RCA: 105] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2014] [Accepted: 03/05/2015] [Indexed: 12/19/2022] Open
Abstract
Obesity is a major public health concern. This condition results from a constant and complex interplay between predisposing genes and environmental stimuli. Current attempts to manage obesity have been moderately effective and a better understanding of the etiology of obesity is required for the development of more successful and personalized prevention and treatment options. To that effect, mouse models have been an essential tool in expanding our understanding of obesity, due to the availability of their complete genome sequence, genetically identified and defined strains, various tools for genetic manipulation and the accessibility of target tissues for obesity that are not easily attainable from humans. Our knowledge of monogenic obesity in humans greatly benefited from the mouse obesity genetics field. Genes underlying highly penetrant forms of monogenic obesity are part of the leptin-melanocortin pathway in the hypothalamus. Recently, hypothesis-generating genome-wide association studies for polygenic obesity traits in humans have led to the identification of 119 common gene variants with modest effect, most of them having an unknown function. These discoveries have led to novel animal models and have illuminated new biologic pathways. Integrated mouse-human genetic approaches have firmly established new obesity candidate genes. Innovative strategies recently developed by scientists are described in this review to accelerate the identification of causal genes and deepen our understanding of obesity etiology. An exhaustive dissection of the molecular roots of obesity may ultimately help to tackle the growing obesity epidemic worldwide.
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Affiliation(s)
- Fereshteh T. Yazdi
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada
| | - Susanne M. Clee
- Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada
| | - David Meyre
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada
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An evolving scientific basis for the prevention and treatment of pediatric obesity. Int J Obes (Lond) 2014; 38:887-905. [PMID: 24662696 DOI: 10.1038/ijo.2014.49] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2014] [Accepted: 03/10/2014] [Indexed: 12/11/2022]
Abstract
The 2013 Pennington Biomedical Research Center's Scientific Symposium focused on the treatment and management of pediatric obesity and was designed to (i) review recent scientific advances in the prevention, clinical treatment and management of pediatric obesity, (ii) integrate the latest published and unpublished findings and (iii) explore how these advances can be integrated into clinical and public health approaches. The symposium provided an overview of important new advances in the field, which led to several recommendations for incorporating the scientific evidence into practice. The science presented covered a range of topics related to pediatric obesity, including the role of genetic differences, epigenetic events influenced by in utero development, pre-pregnancy maternal obesity status, maternal nutrition and maternal weight gain on developmental programming of adiposity in offspring. Finally, the relative merits of a range of various behavioral approaches targeted at pediatric obesity were covered, together with the specific roles of pharmacotherapy and bariatric surgery in pediatric populations. In summary, pediatric obesity is a very challenging problem that is unprecedented in evolutionary terms; one which has the capacity to negate many of the health benefits that have contributed to the increased longevity observed in the developed world.
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Abstract
Obesity is a highly heritable trait. While acute and chronic changes in body weight or obesity-related comorbidities are heavily influenced by environmental factors, there are still strong genomic modifiers that help account for inter-subject variability in baseline traits and in response to interventions. This review is intended to provide an up-to-date overview of our current understanding of genetic influences on obesity, with emphasis on genetic modifiers of baseline traits and responses to intervention. We begin by reviewing how genetic variants can influence obesity. We then examine genetic modifiers of weight loss via different intervention strategies, focusing on known and potential modifiers of surgical weight loss outcomes. We will pay particular attention to the effects of patient age on outcomes, addressing the risks and benefits of adopting early intervention strategies. Finally, we will discuss how the field of bariatric surgery can leverage knowledge of genetic modifiers to adopt a personalized medicine approach for optimal outcomes across this widespread and diverse patient population.
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Affiliation(s)
- Samantha Sevilla
- Research Center for Genetic Medicine, Children's National Medical Center, 111 Michigan Ave NW, Washington, DC 20010
| | - Monica J Hubal
- Research Center for Genetic Medicine, Children's National Medical Center, 111 Michigan Ave NW, Washington, DC 20010.
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Millington GWM. Obesity, genetics and the skin. Clin Exp Dermatol 2013; 38:50-6; quiz 56. [PMID: 23252752 DOI: 10.1111/ced.12024] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/24/2012] [Indexed: 12/16/2022]
Abstract
The increasing problem of obesity in childhood is recognized as both a short-term and long-term serious public-health concern. Excess body weight may contribute to psychological morbidity; cancers; metabolic, cardiovascular and musculoskeletal disorders; and dermatological conditions. There is increasing recognition of the role of genetic factors in the aetiology of obesity. Although in the vast majority of cases these influences are polygenic, some obese children suffer from monogenic disorders, which may present with obesity alone. However, more often than not, they generally display other syndromic features. Some of these syndromes have a clear cutaneous phenotype, and these conditions will be the focus of this review.
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Affiliation(s)
- G W M Millington
- Department of Dermatology, Norfolk and Norwich University Hospitals NHS Foundation Trust, UK.
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Heydet D, Chen LX, Larter CZ, Inglis C, Silverman MA, Farrell GC, Leroux MR. A truncating mutation of Alms1 reduces the number of hypothalamic neuronal cilia in obese mice. Dev Neurobiol 2012; 73:1-13. [PMID: 22581473 DOI: 10.1002/dneu.22031] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2011] [Revised: 04/04/2012] [Accepted: 04/26/2012] [Indexed: 12/11/2022]
Abstract
Primary cilia are ubiquitous cellular antennae whose dysfunction collectively causes various disorders, including vision and hearing impairment, as well as renal, skeletal, and central nervous system anomalies. One ciliopathy, Alström syndrome, is closely related to Bardet-Biedl syndrome (BBS), sharing amongst other phenotypic features morbid obesity. As the cellular and molecular links between weight regulation and cilia are poorly understood, we used the obese mouse strain foz/foz, bearing a truncating mutation in the Alström syndrome protein (Alms1), to help elucidate why it develops hyperphagia, leading to early onset obesity and metabolic anomalies. Our in vivo studies reveal that Alms1 localizes at the base of cilia in hypothalamic neurons, which are implicated in the control of satiety. Alms1 is lost from this location in foz/foz mice, coinciding with a strong postnatal reduction (∼70%) in neurons displaying cilia marked with adenylyl cyclase 3 (AC3), a signaling protein implicated in obesity. Notably, the reduction in AC3-bearing cilia parallels the decrease in cilia containing two appetite-regulating proteins, Mchr1 and Sstr3, as well as another established Arl13b ciliary marker, consistent with progressive loss of cilia during development. Together, our results suggest that Alms1 maintains the function of neuronal cilia implicated in weight regulation by influencing the maintenance and/or stability of the organelle. Given that Mchr1 and Sstr3 localization to remaining cilia is maintained in foz/foz animals but known to be lost from BBS knockout mice, our findings suggest different molecular etiologies for the satiety defects associated with the Alström syndrome and BBS ciliopathies.
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Affiliation(s)
- Déborah Heydet
- Liver Research Group, ANU Medical School at The Canberra Hospital, Canberra, ACT, Australia
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