Association Between Vitamin D and Adrenal Parameters with Metabolic and Inflammatory Markers in Polycystic Ovary Syndrome View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

P. Maidana, A. Fritzler, Y. Mocarbel, M. B. Perez Lana, D. González, M. Rosales, F. González de Chazal, K. Sternberg, E. Lamas Majek, S. Mallea-Gil, E. Genovesi, M. Pelayo, B. Fabre, V. Mesch

ABSTRACT

Vitamin D deficiency has been related with metabolic alterations in polycystic ovary syndrome (PCOS). As well, hyperactivation of adrenal axis can be programmed early in life and could be related later with PCOS development. Our aim was to establish the relationship between vitamin D and adrenal parameters with metabolic alterations and inflammation markers in PCOS. In 73 patients and 33 controls, 25-hydroxyvitamin D (25-OH-D), total and bioavailable testosterone (TT and bioT), androstenedione (A4), SHBG, cortisol, insulin, and C-reactive protein (hs-CRP) were determined; HOMA and lipid accumulation product (LAP) index were calculated. All parameters were higher in patients than in controls, except for SHBG and 25-OH-D which were lower. Binary regression analysis showed that differences in TT, bioT, A4, insulin and HOMA were independent of body mass index and waist circumference but SHBG, hs-CRP, LAP and 25-OH-D were related to body weight and fat distribution. Binary logistic regression analysis showed that cortisol and 25-OH-D could be associated to PCOS development. Correlations found between LAP and insulin, HOMA and hs-CRP confirm it is a good indicator of metabolic complications. Vitamin D and cortisol association to PCOS development justifies future research to understand the role of vitamin D in PCOS and analyze patient's perinatal history and its possible relationship with hyperactivation of adrenal axis in adult life. More... »

PAGES

3968

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-40653-z

DOI

http://dx.doi.org/10.1038/s41598-019-40653-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112641569

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30850700


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