Lambert Mayara, Pedroso Larissa de Castro, Rosini Silva Alex Aparecido, Messias Leonardo Henrique Dalcheco, Porcari Andréia M, Carvalho Patrícia de Oliveira, Scariot Pedro Paulo Menezes, Dos Reis Ivan Gustavo Masselli
Research Group on Technology Applied to Exercise Physiology-GTAFE, Health Sciences Postgraduate Program, São Francisco University, Bragança Paulista 12916-900, SP, Brazil.
MS4Life Laboratory of Mass Spectrometry, Health Sciences Postgraduate Program, São Francisco University, Bragança Paulista 12916-900, SP, Brazil.
Biology (Basel). 2024 Dec 20;13(12):1074. doi: 10.3390/biology13121074.
Metabolomic analysis of the changes in plasma metabolites in obesity along with physical activity interaction may contribute to disease diagnosis and treatment. We sought to make a comprehensive assessment of the plasma metabolite profile of subjects with a lean ( = 20, BMI = 22.3) or overweight/obese ( = 29, BMI = 29) body mass index (BMI) and low ( = 33, IPAQ = 842) or high ( = 16, IPAQ = 6935) index of physical activity questionnaire (IPAQ), using an untargeted metabolomic approach. Two-way analysis of variance was applied to the data obtained from liquid chromatography-mass spectrometry analyses and resulted in 64 metabolites, mainly responsible for the data variance among the different groups. Finally, a complex network approach reveals the most relevant metabolites. The majority of the relevant metabolites are oxidized species of phospholipids. Most species of phosphatidylcholine and a species of phosphatidylglycerol were found to be decreased in obese subjects, while most species of phosphatidylethanolamine, phosphatidylserine, and phosphatidylinositol were increased. Only a single species each of prostaglandin, phosphatidylglycerol, and phosphatidylinositol were modulated by IPAQ, but interaction effects between BMI and IPAQ were found for most of the metabolites in the combination of obese BMI with low IPAQ.
对肥胖状态下血浆代谢物变化以及体育活动相互作用进行代谢组学分析,可能有助于疾病的诊断和治疗。我们试图采用非靶向代谢组学方法,对体重指数(BMI)为瘦(n = 20,BMI = 22.3)或超重/肥胖(n = 29,BMI = 29),且体力活动问卷(IPAQ)指数为低(n = 33,IPAQ = 842)或高(n = 16,IPAQ = 6935)的受试者的血浆代谢物谱进行全面评估。对液相色谱 - 质谱分析获得的数据应用双向方差分析,得到64种代谢物,这些代谢物主要导致不同组间的数据差异。最后,采用复杂网络方法揭示最相关的代谢物。大多数相关代谢物是磷脂的氧化产物。发现肥胖受试者中大多数磷脂酰胆碱种类和一种磷脂酰甘油种类减少,而大多数磷脂酰乙醇胺、磷脂酰丝氨酸和磷脂酰肌醇种类增加。IPAQ仅调节了一种前列腺素、一种磷脂酰甘油和一种磷脂酰肌醇,但在肥胖BMI与低IPAQ组合中,大多数代谢物发现了BMI与IPAQ之间的相互作用效应。