Investigação da relação de marcadores moleculares nos genes TCF2L7, ADBR3 e FTO com os parâmetros bioquímicos e antropométricos

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Rebeca Fontenele Pinheiro
Bruno Eduardo Godinho Teixeira
Ana Paula Araújo Guimarães
Isabela Guerreiro Diniz
Haiala Soter Silva de Oliveira
Aylla Núbia Lima Martins da Silva
Rita de Cássia Silva de Oliveira

Resumo

Objetivo: Selecionar e analisar de maneira sistemática, trabalhos nos quais a avaliação da correlação entre polimorfismos e medidas antropométricas e bioquímicas eram discutidas. Métodos: Trata-se de uma revisão integrativa, com base nas recomendações da Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) e utilizando da base de dados da PubMed com os SNPs, sendo possível inserir um SNP de interesse no campo de busca e ter acesso somente às publicações referentes a esse marcador genético específico, o período dos trabalhos pesquisados foi de 2017 a 2021. Resultados: Com base na estratégia de busca, foram identificados 96 trabalhos na plataforma PubMed, constatou-se que algumas alterações genéticas (mudança de base) podem influenciar no desenvolvimento de fenótipos associados a doenças como diabetes e obesidade, entre os trabalhos analisados, um exemplo foi os SNPs rs7901695 e rs12255372 no gene TCF7L2 com a transcrição encontrada para a regulação de glicose, resultando em uma suscetibilidade para DM2. Considerações finais: Fatores epigenéticos podem agir influenciando o fenótipo juntamente com os fatores genéticos, ademais, deve-se considerar a heterogeneidade genética e diferença entre as populações na investigação da associação de polimorfismos e expressão gênica associada a doenças não transmissíveis.

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Como Citar
PinheiroR. F., TeixeiraB. E. G., GuimarãesA. P. A., DinizI. G., OliveiraH. S. S. de, SilvaA. N. L. M. da, & OliveiraR. de C. S. de. (2023). Investigação da relação de marcadores moleculares nos genes TCF2L7, ADBR3 e FTO com os parâmetros bioquímicos e antropométricos. Revista Eletrônica Acervo Saúde, 23(10), e14023. https://doi.org/10.25248/reas.e14023.2023
Seção
Revisão Bibliográfica

Referências

1. ADAMSKA EP, et al. Metabolomics Reveal Altered Postprandial Lipid Metabolism After a High-Carbohydrate Meal in Men at High Genetic Risk of Diabetes. The Journal of Nutrition: National Library of Medicine. 2019; 149: 915 - 922.

2. BEGO T, et al. Association of FTO gene variant (rs8050136) with type 2 diabetes and markers of obesity, glycaemic control and inflammation. Journal of medical biochemistry. 2019; 38(2): 153–163.

3. BOUTARI C e MANTZOROS CS. A 2022 update on the epidemiology of obesity and a call to action: as its twin COVID-19 pandemic appears to be receding, the obesity and dysmetabolism pandemic continues to rage on. Metabolism. 2022; 133: 155217.

4. CHEN B, et al. Association of fat mass and obesity-associated and retinitis pigmentosa guanosine triphosphatase (GTPase) regulator-interacting protein-1 like polymorphisms with body mass index in Chinese women. Endocrine jornal. 2018: 65(7): 783–791.

5. DAGHESTANI M, et al. ADRB3 polymorphism rs4994 (Trp64Arg) associates significantly with bodyweight elevation and dyslipidaemias in Saudis but not rs1801253 (Arg389Gly) polymorphism in ARDB1. Lipids in health and disease. 2018; 17(1).

6. DUICU C, et al. FTO rs 9939609 SNP Is Associated With Adiponectin and Leptin Levels and the Risk of Obesity in a Cohort of Romanian Children Population. Medicine (Baltimore). 2016; 95.

7. GALVÃO TF, et al. Principais itens para relatar Revisões sistemáticas e Meta-análises: A recomendação PRISMA. Epidemiol. Serv. Saúde. 2015; 24.

8. O´BEIRNE SL, et al. Type 2 Diabetes Risk Allele Loci in the Qatari Population. PLoS One. 2016; 11.

9. GU Z. et al. FTO polymorphisms are associated with metabolic dysfunction-associated fatty liver disease (MAFLD) susceptibility in the older Chinese Han population. Clinical interventions in aging. 2020; 15: 1333–1341.

10. KHAN SM, et al. Association between type 2 diabetes mellitus & TCF7L2 gene variants in the Emirati population: Genetics of diabetes in the United Arab Emirates. National Library of Medicine: American Journal of Human Biology. 2020; 33.

11. HOSSEINI FE, et al. Dietary patterns modify the association between fat mass and obesity-associated genetic variants and changes in obesity phenotypes. The British journal of nutrition. 2019; 121(11): 1247–1254.

12. KOOCHAKPOUR G, et al. Evaluating the interaction of common FTO genetic variants, added sugar, and trans-fatty acid intakes in altering obesity phenotypes. Nutrition, metabolism, and cardiovascular diseases: NMCD. 2019; 29(5): 474–480.

13. LÓPEZ GR, et al. Common polymorphisms in MC4R and FTO genes are associated with BMI and metabolic indicators in Mexican children: Differences by sex and genetic ancestry. Gene. 2020; 754: 144840.

14. PRADEEPA R e MOHAN V. Epidemiology of type 2 diabetes in India. Indian Journal of Ophthalmology. 2021; 69.

15. RANASINGHE P, et al. The range of non-traditional anthropometric parameters to define obesity and obesity-related disease in children: a systematic review. European journal of clinical nutrition. 2020; 373–384.

16. RANA S e BHATTI AA. Predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis. Sci Rep. 2021; 11.

17. REDDY A, et al. Intron-specific single nucleotide polymorphisms of Fat mass and obesity- associated gene in obese and overweight individuals of the Indian adult population- A pilot study. Current diabetes reviews. 2019; 16(1): 84–94.

18. REDONDO MJ, et al. TCF7L2 Genetic Variants Contribute to Phenotypic Heterogeneity of Type 1 Diabetes. National Library of Medicine. 2018; 41: 311-317.

19. SAKAMOTO Y, et al. Beta-3-adrenergic receptor rs4994 polymorphism is a potential biomarker for the development of nonalcoholic fatty liver disease in overweight/obese individuals. Disease markers. 2019; 4065327.

20. SAKLAYEN MG. The Global Epidemic of the Metabolic Syndrome. Curr Hypertens Rep, 2018; 20.

21. SALINAS SMA, et al. Assessment of biochemical parameters and characterization of TNFα -308G/A and PTPN22 +1858C/T gene polymorphisms in the risk of obesity in adolescents. Biomedical Reports. 2015; 107-111.

22. SEDAGHATI KB, et al. Lack of association between FTO gene variations and metabolic healthy obese (MHO) phenotype: Tehran Cardio-metabolic Genetic Study (TCGS). Eating and weight disorders. 2018; 25(1): 25-35.

23. SINGH S, et al. Clinical Prediction of Type 2 Diabetes Mellitus (T2DM) via Anthropometric and Biochemical Variations in Prakriti. Diseases. 2022; 10.

24. TARNOWSKI M, et al. Effect of FTO and IGF2BP2 gene polymorphisms on duration of pregnancy and Apgar scores in women with gestational diabetes. Journal of obstetrics and gynaecology: the journal of the Institute of Obstetrics and Gynaecology. 2019; 39(2): 151–156.

25. VALADARES LTS, et al. Prevalence of metabolic syndrome in Brazilian adults in the last 10 years: a systematic review and meta-analysis. BMC Public Health. 2022; 22.

26. WANG K, et al. A genome-wide association study on obesity and obesity-related traits. PLoS One. 2011; 6.

27. ZAFAR U. et al. Adrenergic receptor beta-3 rs4994 (T>C) and liver X receptor alpha rs12221497 (G>A) polymorphism in Pakistanis with metabolic syndrome. The Chinese journal of physiology. 2019; 62(5): 196–202.

28. ZAHARAN NL, et al. Non-synonymous single-nucleotide polymorphisms and physical activity interactions on adiposity parameters in Malaysian adolescents. Frontiers in endocrinology. 2018; 9: 00209.

29. ZHAO F, et al. The Uyghur population and genetic susceptibility to type 2 diabetes: potential role for variants in CAPN10, APM1 and FUT6 genes. Journal of Cellular and Molecular Medicine. 2016; 20: 2138-2147.