Obesity genetics and cardiometabolic health: Potential for risk prediction.
Diabetes Obes Metab
; 21(5): 1088-1100, 2019 05.
Article
em En
| MEDLINE
| ID: mdl-30667137
ABSTRACT
The increasing burden of obesity worldwide and its effect on cardiovascular disease (CVD) risk is an opportunity for evaluation of preventive approaches. Both obesity and CVD have a genetic background and polymorphisms within genes which enhance expression of variant proteins that influence CVD in obesity. Genome-based prediction may therefore be a feasible strategy, but the identification of genetically driven risk factors for CVD manifesting as clinically recognized phenotypes is a major challenge. Clusters of such risk factors include hyperglycaemia, hypertension, ectopic liver fat, and inflammation. All involve multiple genetic pathways having complex interactions with variable environmental influences. The factors that make significant contributions to CVD risk include altered carbohydrate homeostasis, ectopic deposition of fat in muscle and liver, and inflammation, with contributions from the gut microbiome. A futuristic model depends on harnessing the predictive power of plausible genetic variants, phenotype reversibility, and effective therapeutic choices based on genotype-phenotype interactions. Inverting disease phenotypes into ideal cardiovascular health metrics could improve genetic and epigenetic assessment, and form the basis of a future model for risk detection and early intervention.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Doenças Cardiovasculares
/
Obesidade
Tipo de estudo:
Diagnostic_studies
/
Etiology_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Diabetes Obes Metab
Assunto da revista:
ENDOCRINOLOGIA
/
METABOLISMO
Ano de publicação:
2019
Tipo de documento:
Article