Cardiovascular Risk Biomarkers Not Yet Ready for Clinical Use

2005 ◽  
Vol 38 (16) ◽  
pp. 47
Author(s):  
SHERRY BOSCHERT
2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Andreia Matos ◽  
Alda Pereira da Silva ◽  
Maria Clara Bicho ◽  
Conceição Afonso ◽  
Maria José Areias ◽  
...  

Preeclampsia (PE) may affect the risk for future cardiovascular disease. Haptoglobin (Hp), an acute phase protein with functional genetic polymorphism, synthesized in the hepatocyte and in many peripheral tissues secondary of oxidative stress of PE, may modulate that risk through the antioxidant, angiogenic, and anti-inflammatory differential effects of their genotypes. We performed a prospective study in 352 women aged35±5.48years, which 165 had previous PE, 2 to 16 years ago. We studied demographic, anthropometric, and haemodynamic biomarkers such as C-reactive protein (CRP), myeloperoxidase (MPO), and nitric oxide metabolites (total and nitrites), and others associated with liver function (AST and ALT) and lipid profile (total LDL and cholesterol HDL, non-HDL, and apolipoproteins A and B). Finally, we study the influence of Hp genetic polymorphism on all these biomarkers and as a predisposing factor for PE and its remote cardiovascular disease prognosis. Previously preeclamptic women either hypertensive or normotensive presented significant differences in those risk biomarkers (MPO, nitrites, and ALT), whose variation may be modulated by Hp 1/2 functional genetic polymorphism. The history of PE may be relevant, in association with these biomarkers to the cardiovascular risk in premenopausal women.


2017 ◽  
Vol 34 (1) ◽  
pp. 73 ◽  
Author(s):  
María Dolores Mesa García ◽  
Cruz Erika García-Rodríguez ◽  
María de la Cruz Rico ◽  
Concepción María Aguilera ◽  
Milagros Pérez-Rodríguez ◽  
...  

Diabetes Care ◽  
2010 ◽  
Vol 33 (8) ◽  
pp. 1734-1737 ◽  
Author(s):  
M. C. Bunck ◽  
M. Diamant ◽  
B. Eliasson ◽  
A. Corner ◽  
R. M. Shaginian ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-3
Author(s):  
Fabrizio Montecucco ◽  
François Mach ◽  
Aldo Pende ◽  
Thomas H. Schindler ◽  
Rafaela F. da Silva ◽  
...  

2019 ◽  
Author(s):  
Xiaowei Ojanen ◽  
Runtan Cheng ◽  
Timo Törmäkangas ◽  
Na Wu ◽  
Noa Rappaport ◽  
...  

AbstractCardiovascular diseases have their origin in childhood. Early biomarkers identifying individuals with increased risk for disease are needed to support early detection and to optimize prevention strategies. By applying machine learning approach on high throughput NMR-based metabolomics data, we identified metabolic predictors of cardiovascular risk in circulation in a cohort of 396 females, followed from childhood (mean age 11.2 years) to early adulthood (mean age 18.1 years). The identified childhood metabolic signature included three circulating biomarkers robustly associating with increased cardiovascular risk in early adulthood (AUC = 0.641 to 0.802, all p<0.01). These associations were confirmed in two validation cohorts including middle-aged women, with similar effect estimates. We subsequently applied random intercept cross-lagged panel model analysis, which suggested causal relationship between metabolites and cardio-metabolic risk score from childhood to early adulthood. These results provide evidence for the utility of circulating metabolomics panel to identify children and adolescents at risk for cardiovascular disease, to whom preventive measures and follow-up could be indicated.


2012 ◽  
Vol 18 (2) ◽  
pp. 140-145 ◽  
Author(s):  
Ajay Varanasi ◽  
Pavan Patel ◽  
Antoine Makdissi ◽  
Sandeep Dhindsa ◽  
Ajay Chaudhuri ◽  
...  

2018 ◽  
Vol 22 (2) ◽  
pp. 314-323
Author(s):  
David H Rehkopf ◽  
Andrew Duong ◽  
William H Dow ◽  
Luis Rosero-Bixby

AbstractObjectiveThere is a large literature linking current BMI to levels of cardiovascular risk biomarkers, but it is unknown whether measures of BMI earlier in the life course and maximum BMI are predictive of current levels of biomarkers. The objective of the current study was to determine how current, maximum and age-25 BMI among individuals over the age of 60 years are associated with their current levels of cardiovascular risk biomarkers.DesignCross-sectional study with retrospective recall.SettingCosta Rica (n 821) and the USA (n 4110).SubjectsNationally representative samples of adults aged 60 years or over.ResultsWe used regression models to examine the relationship between multiple meaures of BMI with four established cardiovascular risk biomarkers. The most consistent predictor of current levels of systolic blood pressure, TAG and HDL-cholesterol was current BMI. However, maximum BMI was the strongest predictor of glycosylated Hb (HbA1c) and was also related to HDL-cholesterol and TAG. HbA1c was independent of current BMI. We found that these relationships are consistent between Costa Rica and the USA for HbA1c and for HDL-cholesterol.ConclusionsCurrent levels of cardiovascular risk biomarkers are not only the product of current levels of BMI, but also of maximum lifetime BMI, particularly for levels of HbA1c and for HDL-cholesterol. Managing maximum obtained BMI over the life course may be most critical for maintaining the healthiest levels of cardiovascular risk.


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