The researchers created a predictive model based on measurements from 24 patients’ blood.
The Cell Systems journal published the study.
Here are four things to know:
1. Researchers used genomic and metabolomics data from the blood samples to create predictive models that reveal why certain individuals experience side effects to the ribavirin drug.
2. The study authors found personalized kinetic rate constants best represent the genotype, over lmetabolite levels. The study proved the feasibility of personalized kinetic models.
3. The study further revealed the ability to pinpoint individuals at risk of side effects and discover possible protection against those side effects.
4. The researchers suggest pharmaceutical companies use these predictive models when developing drugs to preemptively pinpoint individuals who are at risk of side effects.
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