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Machado ME, Porto LC, Alves Galvão MG, Sant'Anna CC, Lapa E Silva JR. SNPs, adipokynes and adiposity in children with asthma. J Asthma 2023; 60:446-457. [PMID: 35549796 DOI: 10.1080/02770903.2022.2077218] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVES Asthma and obesity are complex disorders influenced by environmental and genetic factors. We performed an integrative review of genetic polymorphisms and adipokines effects in children and adolescents with asthma and obesity. DATA SOURCES Articles focused on these issues were collected from SciELO, PubMed, LILACS, Embase and ScienceDirect electronic databases, in 2009-2020 period. STUDY SELECTIONS 22 articles were selected, including clinical trials, analyses approaches, case-control studies, meta-analysis and Mendelian randomization studies. RESULTS Leptin concentrations were higher in obesity and asthma. The high value of BMI and Leptin indicated severe asthma. Adiponectin may be reduced in obese children. The high value of BMI and low level of Adiponectin may indicate severe asthma. Some linkage of PRKCA gene, asthma and BMI was observed. FTO T allele rs62048379 was positively associated with overweight/obesity, related to protein and PUFA:SFA ratio intake and influences the choice of more energy-dense foods. FTO rs9939609 effects are more pronounced among children with insufficient vitamin D levels. CONCLUSION Leptin may be a potential predictor for asthma control in children. BMI and Adiponectin could have certain predictive value for asthma. FTO gene was related to a higher mean BMI Z-score and accelerated developmental age per allele. Strong genetic heterogeneity influencing on asthma and obesity susceptibilities is evident and related to distinct genetic features. GWAS with childhood obesity in asthma contributed to greater insights, mainly on later childhood. Standardized definitions for asthma and overweight/obesity in studies approaching adipokines and SNPs would provide stronger evidence in deciding the best management.
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Affiliation(s)
- M E Machado
- Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.,Souza Marques Techno-Educational Foundation, Rio de Janeiro, Brazil
| | - L C Porto
- State University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - M G Alves Galvão
- Souza Marques Techno-Educational Foundation, Rio de Janeiro, Brazil
| | - C C Sant'Anna
- Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
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Wuni R, Ventura EF, Curi-Quinto K, Murray C, Nunes R, Lovegrove JA, Penny M, Favara M, Sanchez A, Vimaleswaran KS. Interactions between genetic and lifestyle factors on cardiometabolic disease-related outcomes in Latin American and Caribbean populations: A systematic review. Front Nutr 2023; 10:1067033. [PMID: 36776603 PMCID: PMC9909204 DOI: 10.3389/fnut.2023.1067033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 01/09/2023] [Indexed: 01/27/2023] Open
Abstract
Introduction The prevalence of cardiometabolic diseases has increased in Latin American and the Caribbean populations (LACP). To identify gene-lifestyle interactions that modify the risk of cardiometabolic diseases in LACP, a systematic search using 11 search engines was conducted up to May 2022. Methods Eligible studies were observational and interventional studies in either English, Spanish, or Portuguese. A total of 26,171 publications were screened for title and abstract; of these, 101 potential studies were evaluated for eligibility, and 74 articles were included in this study following full-text screening and risk of bias assessment. The Appraisal tool for Cross-Sectional Studies (AXIS) and the Risk Of Bias In Non-Randomized Studies-of Interventions (ROBINS-I) assessment tool were used to assess the methodological quality and risk of bias of the included studies. Results We identified 122 significant interactions between genetic and lifestyle factors on cardiometabolic traits and the vast majority of studies come from Brazil (29), Mexico (15) and Costa Rica (12) with FTO, APOE, and TCF7L2 being the most studied genes. The results of the gene-lifestyle interactions suggest effects which are population-, gender-, and ethnic-specific. Most of the gene-lifestyle interactions were conducted once, necessitating replication to reinforce these results. Discussion The findings of this review indicate that 27 out of 33 LACP have not conducted gene-lifestyle interaction studies and only five studies have been undertaken in low-socioeconomic settings. Most of the studies were cross-sectional, indicating a need for longitudinal/prospective studies. Future gene-lifestyle interaction studies will need to replicate primary research of already studied genetic variants to enable comparison, and to explore the interactions between genetic and other lifestyle factors such as those conditioned by socioeconomic factors and the built environment. The protocol has been registered on PROSPERO, number CRD42022308488. Systematic review registration https://clinicaltrials.gov, identifier CRD420223 08488.
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Affiliation(s)
- Ramatu Wuni
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, United Kingdom
| | - Eduard F Ventura
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, United Kingdom
| | | | - Claudia Murray
- Department of Real Estate and Planning, University of Reading, Reading, United Kingdom
| | - Richard Nunes
- Department of Real Estate and Planning, University of Reading, Reading, United Kingdom
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, United Kingdom
| | - Mary Penny
- Instituto de Investigación Nutricional, Lima, Peru
| | - Marta Favara
- Oxford Department of International Development, University of Oxford, Oxford, United Kingdom
| | - Alan Sanchez
- Grupo de Análisis para el Desarrollo (GRADE), Lima, Peru
| | - Karani Santhanakrishnan Vimaleswaran
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, United Kingdom.,Institute for Food, Nutrition and Health (IFNH), University of Reading, Reading, United Kingdom
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Bonilla C, Novaes Baccarini L. Genetic Epidemiology in Latin America: Identifying Strong Genetic Proxies for Complex Disease Risk Factors. Genes (Basel) 2020; 11:E507. [PMID: 32375401 PMCID: PMC7288659 DOI: 10.3390/genes11050507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 04/24/2020] [Accepted: 04/28/2020] [Indexed: 11/16/2022] Open
Abstract
Epidemiology seeks to determine the causal effects of exposures on outcomes related to the health and wellbeing of populations. Observational studies, one of the most commonly used designs in epidemiology, can be biased due to confounding and reverse causation, which makes it difficult to establish causal relationships. In recent times, genetically informed methods, like Mendelian randomization (MR), have been developed in an attempt to overcome these disadvantages. MR relies on the association of genetic variants with outcomes of interest, where the genetic variants are proxies or instruments for modifiable exposures. Because genotypes are sorted independently and at random at the time of conception, they are less prone to confounding and reverse causation. Implementation of MR depends on, among other things, a strong association of the genetic variants with the exposure, which has usually been defined via genome-wide association studies (GWAS). Because GWAS have been most often carried out in European populations, the limited identification of strong instruments in other populations poses a major problem for the application of MR in Latin America. We suggest potential solutions that can be realized with the resources at hand and others that will have to wait for increased funding and access to technology.
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Affiliation(s)
- Carolina Bonilla
- Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246, Brazil
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Gene-Environment Interactions on Body Fat Distribution. Int J Mol Sci 2019; 20:ijms20153690. [PMID: 31357654 PMCID: PMC6696304 DOI: 10.3390/ijms20153690] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 07/18/2019] [Accepted: 07/19/2019] [Indexed: 02/08/2023] Open
Abstract
The prevalence of obesity has been increasing markedly in the U.S. and worldwide in the past decades; and notably, the obese populations are signified by not only the overall elevated adiposity but also particularly harmful accumulation of body fat in the central region of the body, namely, abdominal obesity. The profound shift from “traditional” to “obesogenic” environments, principally featured by the abundance of palatable, energy-dense diet, reduced physical activity, and prolonged sedentary time, promotes the obesity epidemics and detrimental body fat distribution. Recent advances in genomics studies shed light on the genetic basis of obesity and body fat distribution. In addition, growing evidence from investigations in large cohorts and clinical trials has lent support to interactions between genetic variations and environmental factors, e.g., diet and lifestyle factors, in relation to obesity and body fat distribution. This review summarizes the recent discoveries from observational studies and randomized clinical trials on the gene–environment interactions on obesity and body fat distribution.
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Dos Santos Rocha A, de Cássia Ribeiro-Silva R, Nunes de Oliveira Costa G, Alexandrina Figueiredo C, Cunha Rodrigues L, Maria Alvim Matos S, Leovigildo Fiaccone R, Oliveira PR, Alves-Santos NH, Blanton RE, Lima Barreto M. Food Consumption as a Modifier of the Association between LEPR Gene Variants and Excess Body Weight in Children and Adolescents: A Study of the SCAALA Cohort. Nutrients 2018; 10:E1117. [PMID: 30126176 PMCID: PMC6116060 DOI: 10.3390/nu10081117] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 08/04/2018] [Accepted: 08/08/2018] [Indexed: 01/13/2023] Open
Abstract
No studies showing that food consumption is a modifier of the association of variants of the leptin receptor gene (LEPR) with body weight have involved a Brazilian population. The aim of this study was to evaluate the modifying effect of dietary intake on the association between the LEPR gene and excess weight. In this study, 1211 children and adolescents aged 4⁻11 years were assessed. Participants were genotyped for 112 single-nucleotide variants of the LEPR gene. Anthropometric measurements were performed, and dietary data were obtained. Logistic regressions were used to study the associations of interest. Of the participants, 13.4% were overweight/obese. The risk allele (G) of the rs1137100 variant was associated with excess weight in individuals with fat consumption below the median (odds ratio OR = 1.92; 95% confidence interval CI = 1.18⁻3.14), with daily frequency of consumption of drink/artificial juice (OR = 2.15; 95% CI = 1.26⁻3.68) and refined cereals (OR = 2.17; 95% CI = 1.31⁻3.62) above the median. The risk allele (G) of variant rs1177681 was also associated with excess weight (OR = 2.74; 95% CI = 1.65⁻4.57) in subjects with a daily frequency of refined cereal consumption above the median. The association between LEPR and excess weight can be modulated by the type and distribution of dietary fatty acids, sugary drinks, and refined cereals.
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Affiliation(s)
- Aline Dos Santos Rocha
- Departamento Ciência da Nutrição, Escola de Nutrição, Universidade Federal da Bahia, Av. Araújo Pinho, 32, Canela, CEP: 40.110-150, Salvador, BA Brasil.
| | - Rita de Cássia Ribeiro-Silva
- Departamento Ciência da Nutrição, Escola de Nutrição, Universidade Federal da Bahia, Av. Araújo Pinho, 32, Canela, CEP: 40.110-150, Salvador, BA Brasil.
| | - Gustavo Nunes de Oliveira Costa
- Instituto Gonçalo Moniz (IGM), Fundação Osvaldo Cruz-FIOCRUZ-Bahia, Av. Waldemar Falcão, 121, Candeal-Salvador/BA, CEP: 40296-710, Salvador, BA, Brasil.
- UNIFACS-Universidade Salvador, Laureate International Universities, Rua Doutor José Peroba, 251, Edf. Civil Empresarial, Sobreloja, STIEP, CEP: 41770-235, Salvador, BA, Brasil.
| | - Camila Alexandrina Figueiredo
- Departamento de Ciências da Biorregulação, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Av. Reitor Miguel Calmon. s/n, Vale do Canela, CEP: 40110-100, Salvador, BA, Brasil.
| | - Laura Cunha Rodrigues
- Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine (LSHTM), Keppel Street, London, WC1E 7HT UK.
| | - Sheila Maria Alvim Matos
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Rua Basílio da Gama, s/n, Canela, CEP:40.110-040, Salvador, BA, Brasil.
| | - Rosemeire Leovigildo Fiaccone
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Rua Basílio da Gama, s/n, Canela, CEP:40.110-040, Salvador, BA, Brasil.
- Instituto de Matemática, Universidade Federal da Bahia-Av. Adhemar de Barros, s/n-Ondina, CEP: 40.170-110, Salvador, BA, Brasil.
- Cidacs-Centro de Integração de Dados e Conhecimentos para Saúde, Instituo Gonçalo Muniz, Fundação Owaldo Cruz, Ministério da Saúde, Parque Tecnológico da Bahia, Rua Mundo, 121, Trobogy, CEP: 41745-715, Salvador, BA, Brasil.
| | - Pablo Rafael Oliveira
- Instituto Gonçalo Moniz (IGM), Fundação Osvaldo Cruz-FIOCRUZ-Bahia, Av. Waldemar Falcão, 121, Candeal-Salvador/BA, CEP: 40296-710, Salvador, BA, Brasil.
- Cidacs-Centro de Integração de Dados e Conhecimentos para Saúde, Instituo Gonçalo Muniz, Fundação Owaldo Cruz, Ministério da Saúde, Parque Tecnológico da Bahia, Rua Mundo, 121, Trobogy, CEP: 41745-715, Salvador, BA, Brasil.
| | - Nadya Helena Alves-Santos
- Observatório de Epidemiologia Nutricional, Departamento de Nutrição Aplicada e Social, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro-UERJ. CEP: 21941-590, Rio de Janeiro, RJ, Brasil.
| | - Ronald E Blanton
- Center for Global Health & Diseases, Biomedical Research Building (BRB), Room 425, Case Western Reserve University, 2109 Adelbert Rd, Cleveland, OH 44106, USA.
| | - Maurício Lima Barreto
- Instituto Gonçalo Moniz (IGM), Fundação Osvaldo Cruz-FIOCRUZ-Bahia, Av. Waldemar Falcão, 121, Candeal-Salvador/BA, CEP: 40296-710, Salvador, BA, Brasil.
- Cidacs-Centro de Integração de Dados e Conhecimentos para Saúde, Instituo Gonçalo Muniz, Fundação Owaldo Cruz, Ministério da Saúde, Parque Tecnológico da Bahia, Rua Mundo, 121, Trobogy, CEP: 41745-715, Salvador, BA, Brasil.
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