By Gloria Gronowicz
Personalized drugs: offers and Pitfalls extensively explores the tailoring of clinical therapy to a patient’s features, wishes, and personal tastes in the course of all levels of care, together with prevention, analysis, therapy, and follow-up.
The book’s objective is to provide an explanation for the technological know-how in the back of customized medication, what influence it might probably have on particular illnesses, and a few of the repercussions of a personalised clinical procedure on our scientific associations.
Novel customized healing remedies and their medical foundation are mentioned through protecting themes as diversified as genomics, proteomics, epigenetics, integrative drugs, stem cells, and the criteria that impact own wellbeing and fitness.
A custom-made clinical approach additionally calls for sufferer involvement in constructing a fit way of life, and so this ebook touches on subject matters akin to the individual’s kinfolk historical past, current and prior way of life, foodstuff, workout degrees, and rigidity elements.
By explaining those wide issues in customized drugs and the technological know-how in the back of them, we find how custom-made medication could have a good effect on an individual’s health.
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Extra resources for Personalized medicine: promises and pitfalls
Example text
BMD is the amount of mineral per square centimeter of bone. Most often, doctors use an instrument to scan the lumber hip and spine with low radiation (dual x-ray absorptiometry [DXA]) in order to determine BMD. However, DXA is not highly sensitive in predicting fracture risk in an individual, but rather gives us guidelines for the population as a whole and screens individuals for therapeutic intervention (Mitchell and Streeten 2013). The Fracture Risk Assessment Tool (FRAX®) was developed in order to improve diagnosis by also considering gender, height, weight, prior fragility fracture, parental history of hip fracture, rheumatoid arthritis, use of oral glucocorticoids, and behavioral factors, such as smoking and alcohol consumption of three or more units daily, as risk factors in the 10-year probability of a major osteoporotic fracture (Kanis et al.
Without bioinformatics, which encompasses software tools in order to store, retrieve, organize, and analyze this biological information that identifies key players in a disease, we would not be able to use successfully the information gained in the laboratory for personalized medicine. However, all of these tests can be very expensive to undergo and for our medical system to absorb. As can be seen from our previous discussion of prostate cancer, proteomics seeks to find: (1) a protein or several proteins that can be used to detect cancer in an individual—this biomarker(s) needs to be highly sensitive and specific for the cancer; (2) the proteomic approach, which tries to identify proteins that predict whether this cancer is very aggressive and also if it is likely to recur; and (3) another goal of proteomics is to find proteins that predict a patient’s response to a particular treatment so that the most appropriate therapy can be chosen.
Knowledge of SNPs increases our understanding of the activities of CFTR in cells and helps explain why disease severity differs among patients. It is hoped that this knowledge will lead to new therapeutics. Post-translational modifications 15 A pitfall for personalized medicine can be found in the cost of the drug Kalydeco from Vertex. This drug works very well for the 2200 worldwide CF patients who have a particular mutation, called G551D, and prolongs their lives. The cost is $307,000 per year per patient (Herper 2014).
