Biomarkers And Prediction Of Disease

1538 Words Sep 11th, 2016 7 Pages
Biomarkers and prediction of disease

Biomarkers (also known as biological markers) are a measurement of a biological sample that is used for the prediction of a subject’s disease rate, early detection of disease, and to also enhance the diagnostic classification. (Simon, 2011). In order for biomarkers to be considered useful, they must meet specific criteria, including; accuracy, reliability, meaning that the results are stable when they are repeated numerous times, and therapeutic impact of early intervention (Ge & Wang, 2012). The literature that will be investigated in this paper include, the specific biomarkers in cardiovascular disease, how nutrition can intervene with these biological markers, and also including the pros and cons of using biomarkers to predict disease. However, this review will not explore other diseases in relation to biomarkers.

Biomarkers are referred to as a measurement of a biological sample, are a very useful piece of information that is obtained in order to predict a patient’s disease state, (Eapen, Ghasemzadeh, MacNamara, & Quyyumi, 2014). Eapen et al. (2014) also states that biomarkers are used for three general purposes, those being; screening, diagnosis and prognosis. The “ideal” biomarker will fluctuate with the state of the disease, meaning that if the disease worsens or improves the biomarker will increase or decrease respectively (Eapen et al., 2014). Eapen et al., (2014) quotes
In the case of a diagnostic biomarker, Bayes theorem…
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