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Article

Multivariate Statistical Approach for Nephrines in Women with Obesity

1
Department of Endocrinology, Faculty of Medicine, Medical University—Sofia, USHATE “Acad. Iv. Penchev”, 2, Zdrave Str., 1431 Sofia, Bulgaria
2
Department of Inorganic Chemistry, Faculty of Chemistry and Pharmacy, University of Sofia “St. Kl. Ohridski”, 1164 Sofia, Bulgaria
3
Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology, 11/12 Narutowicza, 80-233 Gdańsk, Poland
4
Department of Analytical Chemistry, Faculty of Chemistry and Pharmacy, University of Sofia “St. Kl. Ohridski”, 1164 Sofia, Bulgaria
*
Author to whom correspondence should be addressed.
Academic Editor: Yannis Dotsikas
Molecules 2021, 26(5), 1393; https://doi.org/10.3390/molecules26051393
Received: 19 January 2021 / Revised: 19 February 2021 / Accepted: 2 March 2021 / Published: 5 March 2021
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. View Full-Text
Keywords: metanephrine; normetanephrine; diabetes; obesity; hypertension; cluster analyses; exploratory data analysis metanephrine; normetanephrine; diabetes; obesity; hypertension; cluster analyses; exploratory data analysis
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MDPI and ACS Style

Robeva, R.; Nedyalkova, M.; Kirilov, G.; Elenkova, A.; Zacharieva, S.; Kudłak, B.; Jatkowska, N.; Simeonov, V. Multivariate Statistical Approach for Nephrines in Women with Obesity. Molecules 2021, 26, 1393. https://doi.org/10.3390/molecules26051393

AMA Style

Robeva R, Nedyalkova M, Kirilov G, Elenkova A, Zacharieva S, Kudłak B, Jatkowska N, Simeonov V. Multivariate Statistical Approach for Nephrines in Women with Obesity. Molecules. 2021; 26(5):1393. https://doi.org/10.3390/molecules26051393

Chicago/Turabian Style

Robeva, Ralitsa, Miroslava Nedyalkova, Georgi Kirilov, Atanaska Elenkova, Sabina Zacharieva, Błażej Kudłak, Natalia Jatkowska, and Vasil Simeonov. 2021. "Multivariate Statistical Approach for Nephrines in Women with Obesity" Molecules 26, no. 5: 1393. https://doi.org/10.3390/molecules26051393

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