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Hormonal, metabolic and inflammatory circulating biomarker profiles in obese and non-obese Brazilian middle-aged women

AIM: To investigate circulating hormonal, metabolic and inflammatory biomarker profiles in obese and non-obese middle-aged women. METHODS: A total of 110 women, aged 40–60 years, were included in this cross-sectional study. Patients were allocated, according to the occurrence of menopause and body m...

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Detalles Bibliográficos
Autores principales: Galvão-Moreira, Leonardo Victor, Nascimento, Anna Cyntia Brandão, D'Albuquerque, Izabella Mikaella Souza Campos, Sousa, Marcus Antonio Silva, Brito, Haissa Oliveira, Nascimento, Maria do Desterro Soares Brandão, da Costa Chein, Maria Bethânia, Brito, Luciane Maria Oliveira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738638/
https://www.ncbi.nlm.nih.gov/pubmed/31509577
http://dx.doi.org/10.1371/journal.pone.0222239
Descripción
Sumario:AIM: To investigate circulating hormonal, metabolic and inflammatory biomarker profiles in obese and non-obese middle-aged women. METHODS: A total of 110 women, aged 40–60 years, were included in this cross-sectional study. Patients were allocated, according to the occurrence of menopause and body mass index (BMI), into four groups: PM0 (premenopausal non-obese), PM1 (premenopausal obese), M0 (postmenopausal non-obese), and M1 (postmenopausal obese). Serum levels of gonadotropins, sex hormones, lipid markers, leptin, hs-CRP and interleukin-6 were obtained using either colorimetric or immunoenzymatic assays. Univariate and correlation analyses were performed among all clinical and laboratorial parameters. Principal component analysis was used to characterize subsets of biomarkers, which had their discriminatory capacity tested using discriminant function analysis. RESULTS: Levels of gonadotropins and female sex hormones were similar between PM0 and PM1 and between M0 and M1 (p > 0.05), all of them varied between PM0 and M0 (p < 0.05), but only estradiol was significantly altered in the comparison between PM1 and M1 (p = 0.027). Regarding metabolic markers, leptin was lower in PM0 than in M0 (p = 0.010) and higher in M1 than in M0 (p = 0.046). In premenopausal women, BMI correlated only to leptin, while it correlated to several other markers in postmenopausal women. A combination of FSH and leptin serum levels significantly discriminated the four groups (Wilks’s lambda < 0.001, in canonical functions 1 and 2). CONCLUSION: A combined analysis of hormonal biomarkers may potentially distinguish obese from non-obese women with distinct menopause status. Further research is thus required to clarify the clinical significance of such findings.