期刊
MOLECULES
卷 26, 期 5, 页码 -出版社
MDPI
DOI: 10.3390/molecules26051393
关键词
metanephrine; normetanephrine; diabetes; obesity; hypertension; cluster analyses; exploratory data analysis
资金
- Medical University-Sofia [D125/02.05.2017]
- BSF [KP-06/OPR 03-14-2018-BSF]
This study aimed to investigate the associations between catecholamine metabolites and metabolic syndrome components in obese women, identifying different risk subgroups among the patients. Normetanephrine concentrations were found to be significantly increased in certain subgroups of obese women, suggesting potential for specific risk estimation in obesity patients by considering markers of stress response systems.
Catecholamines are physiological regulators of carbohydrate and lipid metabolism during stress, but their chronic influence on metabolic changes in obese patients is still not clarified. The present study aimed to establish the associations between the catecholamine metabolites and metabolic syndrome (MS) components in obese women as well as to reveal the possible hidden subgroups of patients through hierarchical cluster analysis and principal component analysis. The 24-h urine excretion of metanephrine and normetanephrine was investigated in 150 obese women (54 non diabetic without MS, 70 non-diabetic with MS and 26 with type 2 diabetes). The interrelations between carbohydrate disturbances, metabolic syndrome components and stress response hormones were studied. Exploratory data analysis was used to determine different patterns of similarities among the patients. Normetanephrine concentrations were significantly increased in postmenopausal patients and in women with morbid obesity, type 2 diabetes, and hypertension but not with prediabetes. Both metanephrine and normetanephrine levels were positively associated with glucose concentrations one hour after glucose load irrespectively of the insulin levels. The exploratory data analysis showed different risk subgroups among the investigated obese women. The development of predictive tools that include not only traditional metabolic risk factors, but also markers of stress response systems might help for specific risk estimation in obesity patients.
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