Plasma lipid metabolites as potential biomarkers for identifying individuals at risk of obesity-induced metabolic complications

Autor(es):Mostrar menos -

Bellot, Paula Emilia Nunes Ribeiro ; Braga, Erik Sobrinho ; Omage, Folorunsho Bright ; Nunes, Francisca Leide da Silva ; Lima, Severina Carla Vieira Cunha ; Lyra, Clelia Oliveira ; Marchioni, Dirce Maria Lobo ; Pedrosa, Lucia Fatima Campos ; Barbosa Jr, Fernando ; Tasic, Ljubica ; Sena-Evangelista, Karine Cavalcanti Mauricio

• Tipo de documento: Artigo Científico
• Fonte: SCIENTIFIC REPORTS; v. 13, n. 1, p. 13-pg., 2023-07-20.

Resumo

Lipidomics studies have indicated an association between obesity and lipid metabolism dysfunction. This study aimed to evaluate and compare cardiometabolic risk factors, and the lipidomic profile in adults and older people. A cross-sectional study was conducted with 72 individuals, divided into two sex and age-matched groups: obese (body mass index-BMI & GE; 30 kg/m(2); n = 36) and non-obese (BMI < 30 kg/m(2); n = 36). The lipidomic profiles were evaluated in plasma using H-1 nuclear magnetic resonance (H-1-NMR) spectroscopy. Obese individuals had higher waist circumference (p < 0.001), visceral adiposity index (p = 0.029), homeostatic model assessment insulin resistance (HOMA-IR) (p = 0.010), and triacylglycerols (TAG) levels (p = 0.018). H-1-NMR analysis identified higher amounts of saturated lipid metabolite fragments, lower levels of unsaturated lipids, and some phosphatidylcholine species in the obese group. Two powerful machine learning (ML) models-k-nearest neighbors (kNN) and XGBoost (XGB) were employed to characterize the lipidomic profile of obese individuals. The results revealed metabolic alterations associated with obesity in the NMR signals. The models achieved high accuracy of 86% and 81%, respectively. The feature importance analysis identified signal at 1.50-1.60 ppm (-CO-CH2-CH2-, Cholesterol and fatty acid in TAG, Phospholipids) to have the highest importance in the two models. (AU)

• Processo FAPESP: 16/20054-6 - Inovações metodológicas e estatísticas na coleta e análise de dados dietéticos para obtenção de medidas acuradas estudos epidemiológicos
• Beneficiário: Dirce Maria Lobo Marchioni
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 18/24069-3 - Do biomonitoramento ao reconhecimento de assinaturas do exposoma humano visando antecipar riscos para uma saúde contínua
• Beneficiário: Fernando Barbosa Júnior
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 14/50867-3 - INCT 2014: Instituto Nacional de Ciência e Tecnologia de Bioanalítica
• Beneficiário: Marco Aurelio Zezzi Arruda
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 22/11207-4 - Preparação e Manutenção de Base de Dados
• Beneficiário: Erik Sobrinho Braga
• Modalidade de apoio: Bolsas no Brasil - Programa Capacitação - Treinamento Técnico
• Processo FAPESP: 23/02691-2 - Exosítios de proteínas,sítios crípticos e moonlighting: identificação, mapeamento funcional e efeitos de alteração estrutural
• Beneficiário: Folorunsho Bright Omage
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado