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Gender-related association between uric acid, homocysteine, γ-glutamyltransferase, inflammatory biomarkers and metabolic syndrome in subjects affected by obesity.
Vigna, Luisella; Vassalle, Cristina; Tirelli, Amedea Silvia; Gori, Francesca; Tomaino, Laura; Sabatino, Laura; Bamonti, Fabrizia.
Afiliação
  • Vigna L; Department of Preventive Medicine, Workers Health Promotion Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.
  • Vassalle C; Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy.
  • Tirelli AS; Laboratory of Clinical Chemistry & Microbiology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
  • Gori F; Department of Preventive Medicine, Workers Health Promotion Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.
  • Tomaino L; Laboratory of Clinical Chemistry & Microbiology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
  • Sabatino L; Institute of Clinical Physiology, Italian National Research Council, Pisa, Italy.
  • Bamonti F; Department of Biomedical, Surgical & Dental Sciences, University of Milan, Milan, Italy.
Biomark Med ; 2017 Oct 26.
Article em En | MEDLINE | ID: mdl-29069913
ABSTRACT

AIM:

Evaluation of gender-related differences in uric acid (UA), homocysteine and inflammatory biomarkers as metabolic syndrome (MetS) determinants. PATIENTS &

METHODS:

Anthropometric and routine data were obtained from 825 obese subjects (591 F, mean age 54 ± 14 years).

RESULTS:

Hyperuricemia was 24% in both genders. Waist circumference, creatinine, triglycerides, C-reactive protein and γ-glutamyltransferase were identified as UA-independent determinants in females and creatinine and insulin in males. Hyperuricemia increased MetS risk in both genders (2.8-fold and 1.5-fold in males and females).

CONCLUSION:

UA and γ-glutamyltransferase positively relate to MetS in both genders, although inflammatory abnormalities are closer related to UA and MetS in females. These differences in gender physiology may account for epidemiologic gender disparities and help to develop gender-targeted clinical strategies.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article