Basic Research: Building a Firm Foundation for Biomedicine

Benchtop Centrifuge

Credit: National Institute of Allergy and Infectious Diseases, NIH

A major part of NIH’s mission is to support basic research that generates fundamental knowledge about the nature and behavior of living systems. Such knowledge serves as the foundation for the biomedical advances needed to protect and improve our health—and the health of generations to come.

Of course, it’s often hard to predict how this kind of basic research might benefit human populations, and the lag time between discovery and medical application (if that happens at all) can be quite long. Some might argue, therefore, that basic research is not a good use of funds, and all of NIH’s support should go to specific disease targets.

To counter that perception, I’m pleased to share some new findings that underscore the importance of publicly supported basic research. In an analysis of more than 28 million papers in the database, researchers found NIH contributed to published research that was associated with every single one of the 210 new drugs approved by the Food and Drug Administration from 2010 through 2016 [1]. More than 90 percent of that contributory research was basic—that is, related to the discovery of fundamental biological mechanisms, rather than actual development of the drugs themselves.

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Another Milestone in the Cystic Fibrosis Journey

Avalyn Mahoney

Caption: Two-year-old Avalyn is among the cystic fibrosis patients who may be helped by targeted drugs.
Credit: Brittany Mahoney

As NIH Director, I often hear stories of how people with serious diseases—from arthritis to Zika infection—are benefitting from the transformational power of NIH’s investments in basic science. Today, I’d like to share one such advance that I find particularly exciting: news that a combination of three molecularly targeted drugs may finally make it possible to treat the vast majority of patients with cystic fibrosis (CF), our nation’s most common genetic disease.

First, a bit of history! The first genetic mutation that causes CF was discovered by a collaborative effort between my own research lab at the University of Michigan, Ann Arbor, and colleagues at the Hospital for Sick Children in Toronto—more than 25 years ago [1]. Years of hard work, supported by the National Institutes of Health and the Cystic Fibrosis Foundation, painstakingly worked out the normal function of the protein that is altered in CF, called the cystic fibrosis transmembrane regulator (CFTR). Very recently new technologies, such as cryo-EM, have given researchers the ability to map the exact structure of the protein involved in CF.

Among the tens of thousands of CF patients who stand to benefit from the next generation of targeted drugs is little Avalyn Mahoney of Cardiff by the Sea, CA. Just a few decades ago, a kid like Avalyn—who just turned 2 last month—probably wouldn’t have made it beyond her teens. But today the outlook is far brighter for her and so many others, thanks to recent advances that build upon NIH-supported basic research.

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Missing Genes Point to Possible Drug Targets

Human knockout projectEvery person’s genetic blueprint, or genome, is unique because of variations that occasionally occur in our DNA sequences. Most of those are passed on to us from our parents. But not all variations are inherited—each of us carries 60 to 100 “new mutations” that happened for the first time in us. Some of those variations can knock out the function of a gene in ways that lead to disease or other serious health problems, particularly in people unlucky enough to have two malfunctioning copies of the same gene. Recently, scientists have begun to identify rare individuals who have loss-of-function variations that actually seem to improve their health—extraordinary discoveries that may help us understand how genes work as well as yield promising new drug targets that may benefit everyone.

In a study published in the journal Nature, a team partially funded by NIH sequenced all 18,000 protein-coding genes in more than 10,500 adults living in Pakistan [1]. After finding that more than 17 percent of the participants had at least one gene completely “knocked out,” researchers could set about analyzing what consequences—good, bad, or neutral—those loss-of-function variations had on their health and well-being.

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Fighting Parasitic Infections: Promise in Cyclic Peptides

Cyclic peptide bound to iPGM

Caption: Cyclic peptide (middle) binds to iPGM (blue).
Credit: National Center for Advancing Translational Sciences, NIH

When you think of the causes of infectious diseases, what first comes to mind are probably viruses and bacteria. But parasites are another important source of devastating infection, especially in the developing world. Now, NIH researchers and their collaborators have discovered a new kind of treatment that holds promise for fighting parasitic roundworms. A bonus of this result is that this same treatment might work also for certain deadly kinds of bacteria.

The researchers identified the potential new  therapeutic after testing more than a trillion small protein fragments, called cyclic peptides, to find one that could disable a vital enzyme in the disease-causing organisms, but leave similar enzymes in humans unscathed. Not only does this discovery raise hope for better treatments for many parasitic and bacterial diseases, it highlights the value of screening peptides in the search for ways to treat conditions that do not respond well—or have stopped responding—to more traditional chemical drug compounds.

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

Gene Variant and Corornary Heart DiseasePeople 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.

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