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Precision Medicine: Using Genomic Data to Predict Drug Side Effects and Benefits

Posted on by Dr. Francis Collins

Gene Variant and Corornary Heart Disease

People with type 2 diabetes are at increased risk for heart attacks, stroke, and other forms of cardiovascular disease, and at an earlier age than other people. Several years ago, the Food and Drug Administration (FDA) recommended that drug developers take special care to show that potential drugs to treat diabetes don’t adversely affect the cardiovascular system [1]. The challenge in implementing that laudable exhortation is that a drug’s long-term health risks may not become clear until thousands or even tens of thousands of people have received it over the course of many years, sometimes even decades.

Now, a large international study, partly funded by NIH, offers some good news: proof-of-principle that “Big Data” tools can help to identify a drug’s potential side effects much earlier in the drug development process [2]. The study, which analyzed vast troves of genomic and clinical data collected over many years from more than 50,000 people with and without diabetes, indicates that anti-diabetes therapies that lower glucose by targeting the product of a specific gene, called GLP1R, are unlikely to boost the risk of cardiovascular disease. In fact, the evidence suggests that such drugs might even offer some protection against heart disease.

Genetic approaches have increasingly been used to identify potentially promising new drug targets. In the study reported in Science Translational Medicine, researchers led by Robert Scott and Nick Wareham from the University of Cambridge, England, and Dawn Waterworth from GlaxoSmithKline, King of Prussia, PA, also wanted to explore whether genomic data could yield important clues about the potential side effects of drugs targeting particular genes.


Fighting Depression: Ketamine Metabolite May Offer Benefits Without the Risks

Posted on by Dr. Francis Collins

Depressed Woman

Thinkstock/Ryan McVay

For people struggling with severe depression, antidepressants have the potential to provide much-needed relief, but they often take weeks to work. That’s why there is growing excitement about reports that the anesthetic drug ketamine, when delivered intravenously in very low doses, can lift depression and suicidal thoughts within a matter of hours. Still, there has been reluctance to consider ketamine for widespread treatment of depression because, even at low doses, it can produce very distressing side effects, such as dissociation—a sense of disconnection from one’s own thoughts, feelings, and sense of identity. Now, new findings suggest there may be a way to tap into ketamine’s depression-fighting benefits without the side effects.

In a mouse study published in the journal Nature, an NIH-funded research team found that the antidepressant effects of ketamine are produced not by the drug itself, but by one of its metabolites—a substance formed as the body breaks ketamine down. What’s more, the work demonstrates that this beneficial metabolite does not cause the risky dissociation effects associated with ketamine. While further development and subsequent clinical trials are needed, the findings are a promising step toward the development of a new generation of rapid-acting antidepressant drugs.