Literature DB >> 25726193

Biomarkers of the prothrombotic state in abdominal obesity.

Marcela Montilla1, María José Santi2, María A Carrozas3, Félix A Ruiz1.   

Abstract

INTRODUCTION: Central obesity is specifically associated with cardiovascular disease. Nevertheless, the molecular events that promote these conditions remain incompletely defined and risk stratifying patients for cardiovascular disease continues a challenge.
OBJECTIVE: The aim of this study was to assess some cost-efficient haemostatic markers, and its association with central obesity and traditional cardiovascular risk factors, in a cohort of middle aged subjects, without clinical cardiovascular disease, as basis for an improved prevention and intervention.
METHODS: We studied 307 men, aged 45±7 years, which underwent medical history, physical examination, anthropometric measurements, plasmatic biochemical parameters, plasma concentrations of fibrinogen, prothrombin activity, activated partial thromboplastin time, platelet count and mean platelet volume.
RESULTS: Prothrombin activity values were significantly higher in patients with central obesity (103 ± 16 % vs 111 ± 17 %, p<0.001). Across tertiles of fibrinogen (low and high), there was an increase in cholesterol, adjusted for age and body mass index (4.9±0.9 mmol/L vs 5.4±1.1 mmol/L, p< 0.01). High tertile of prothrombin activity showed higher levels of cholesterol (4.8±1.0 mmol/L vs 5.4±0.9 mmol/L , p< 0.05), triglycerides (1.07±0.6 mmol/L vs 1.32±0.9 mmol/L, p< 0.05), and waist circumference (92.8±8.3 cm vs 96.5±8.8 cm, p= ns) . Mean values of cholesterol were higher in low-activated partial thromboplastin time tertile (5.3±0.9 mmol/L vs 4.9±1.1 mmol/L, p<0.01). Participants in the high-mean platelet volume tertile showed higher levels of glycemia (5.7±0.6 mmol/L vs 5.99±0.7 mmol/L, p<0.05). Significant positive correlations were observed between fibrinogen and cholesterol (r=0.198, p<0.001) and triglycerides (r=0.116, p<0.05). Prothrombin activity was positively correlated with waist circumference (r=0.156, p<0.05), glucose (r=0.227, p<0.001), cholesterol (r=0.270, p=0.001), triglycerides (r=0.187, p=0.001) and mean platelet volume (r=0.130, p=0.05). Activated partial thromboplastin time was inversely related cholesterol (r=-0.172, p<0.01) concentrations. Mean platelet volume rose with increasing glucose concentrations (r=0.170, p<0.01).
CONCLUSIONS: Haemostatic markers studied have shown association with abdominal adiposity and established cardiovascular risk factors. These markers are widely available, relatively inexpensive, and might allow risk stratifying patients for cardiovascular disease and the identification of hypercoagulable state in patients who might deserve preventive measures and are potential tools for assessing the impact of these measures. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25726193     DOI: 10.3305/nh.2015.31.3.8168

Source DB:  PubMed          Journal:  Nutr Hosp        ISSN: 0212-1611            Impact factor:   1.057


  7 in total

1.  Thrombin Generation Measurements in Patients Scheduled for Laparoscopic Bariatric Surgery.

Authors:  Jérémie Thereaux; Fanny Mingant; Charles Roche; Hubert Galinat; Francis Couturaud; Karine Lacut
Journal:  Obes Surg       Date:  2017-08       Impact factor: 4.129

2.  Effect of Sleeve Gastrectomy on Platelet Counts and Mean Platelet Volumes.

Authors:  Faruk Kutluturk; Zeki Ozsoy
Journal:  Obes Surg       Date:  2018-10       Impact factor: 4.129

3.  Plasma markers of inflammation and hemostatic and endothelial activity in naturally overweight and obese dogs.

Authors:  R Barić Rafaj; J Kuleš; A Marinculić; A Tvarijonaviciute; J Ceron; Ž Mihaljević; A Tumpa; V Mrljak
Journal:  BMC Vet Res       Date:  2017-01-06       Impact factor: 2.741

4.  Methylome-Wide Association Study in Peripheral White Blood Cells Focusing on Central Obesity and Inflammation.

Authors:  Ana Arpón; Fermín I Milagro; Omar Ramos-Lopez; Maria L Mansego; José-Ignacio Riezu-Boj; J Alfredo Martínez
Journal:  Genes (Basel)       Date:  2019-06-11       Impact factor: 4.096

Review 5.  Influence of Cardiometabolic Risk Factors on Platelet Function.

Authors:  Cristina Barale; Isabella Russo
Journal:  Int J Mol Sci       Date:  2020-01-17       Impact factor: 5.923

6.  Early Markers of Atherosclerotic Disease in Individuals with Excess Weight and Dyslipidemia.

Authors:  Eduardo Menti; Denise Zaffari; Thais Galarraga; João Regis da Conceição E Lessa; Bruna Pontin; Lucia Campos Pellanda; Vera Lúcia Portal
Journal:  Arq Bras Cardiol       Date:  2016-05-03       Impact factor: 2.000

7.  Analysis of platelets from a diet-induced obesity rat model: elucidating platelet dysfunction in obesity.

Authors:  María N Barrachina; Luis A Morán; Irene Izquierdo; Felipe F Casanueva; María Pardo; Ángel García
Journal:  Sci Rep       Date:  2020-08-04       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.