Multivariate Statistical Approach for Nephrines in Womenwith Obesity - Publikacja - MOST Wiedzy

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Multivariate Statistical Approach for Nephrines in Womenwith Obesity

Abstrakt

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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Autorzy (8)

  • Zdjęcie użytkownika  Ralitsa Robeva

    Ralitsa Robeva

    • Department of Endocrinology, Faculty of Medicine, Medical University—Sofia, USHATE “Acad. Iv.Penchev”, 2, Zdrave Str., 1431 Sofia, Bulgar
  • Zdjęcie użytkownika  Miroslava Nedyalkova

    Miroslava Nedyalkova

    • Department of Inorganic Chemistry, Faculty of Chemistry and Pharmacy, University of Sofia “St. Kl.Ohridski”, 1164 Sofia, Bulgaria
  • Zdjęcie użytkownika  Georgi Kirilov

    Georgi Kirilov

    • Department of Endocrinology, Faculty of Medicine, Medical University—Sofia, USHATE “Acad. Iv.Penchev”, 2, Zdrave Str., 1431 Sofia, Bulgar
  • Zdjęcie użytkownika  Atanaska Elenkova

    Atanaska Elenkova

    • Department of Endocrinology, Faculty of Medicine, Medical University—Sofia, USHATE “Acad. Iv.Penchev”, 2, Zdrave Str., 1431 Sofia, Bulgar
  • Zdjęcie użytkownika  Sabina Zacharieva

    Sabina Zacharieva

    • Department of Endocrinology, Faculty of Medicine, Medical University—Sofia, USHATE “Acad. Iv.Penchev”, 2, Zdrave Str., 1431 Sofia, Bulgar
  • Zdjęcie użytkownika prof. dr hab. inż. Vasil Simeonov

    Vasil Simeonov prof. dr hab. inż.

    • Department of Analytical Chemistry, Faculty of Chemistry and Pharmacy, University of Sofia “St. Kl.Ohridski”, 1164 Sofia, Bulgaria

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Wersja publikacji
Accepted albo Published Version
Licencja
Creative Commons: CC-BY otwiera się w nowej karcie

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Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
MOLECULES nr 26,
ISSN: 1420-3049
Język:
angielski
Rok wydania:
2021
Opis bibliograficzny:
Robeva R., Nedyalkova M., Kirilov G., Elenkova A., Zacharieva S., Kudłak B., Jatkowska N., Simeonov V.: Multivariate Statistical Approach for Nephrines in Womenwith Obesity// MOLECULES -Vol. 26,iss. 5 (2021), s.1393-
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3390/molecules26051393
Weryfikacja:
Politechnika Gdańska

wyświetlono 111 razy

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