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Opinion / Q&A

Questions for Elizabeth Berry-Kravis: Measuring drug effects

by  /  17 February 2015
The Expert:
Expert

Reading test: Learning-based methods may help researchers assess drugs for disorders such as autism. 

mamahoohooba / Shutterstock.com

A number of drugs for fragile X syndrome, a leading cause of autism, have shown promise in animal models. For instance, drugs that inhibit a protein called mGluR5, which is overactive in people with fragile X syndrome, resolve symptoms of the disorder, such as social inhibition and repetitive behaviors, in mice.

Earlier this year, researchers reported that one class of drugs developed to treat fragile X syndrome may also work for some other forms of autism, bolstering interest in the therapies.

But so far, none of the treatments for fragile X syndrome have substantially improved behavior in people. Those negative results do not necessarily mean that the treatments are not effective, says Elizabeth Berry-Kravis, professor of child neurology at Rush University Medical Center in Chicago, who has led clinical trials of drugs for the disorder. Rather, she says researchers need to rethink how they measure the drugs’ effectiveness.

Here, Berry-Kravis advocates a more targeted behavioral measure, one that is less subject to bias and that relies on trial participants learning a specific skill.

SFARI.org: What measures have researchers traditionally used to evaluate drugs in people with fragile X syndrome?

Elizabeth Berry-Kravis: The primary outcome measure has always been behavioral reports. In other words, how has the participant’s behavior changed across the treatment period as defined by a parent-reported form, most commonly the Aberrant Behavior Checklist (ABC).


S: What are the main limitations to using parent-reported behavior as an outcome measure?

EB-K: Well, I think one issue is that a general behavioral measure such as the ABC may not be well matched to what the drug does at a neural and cellular level. Much of the data about a drug comes from basic science models such as cellular or animal models, and it’s hard to predict what the drug will do behaviorally in people based on basic science research.

For instance, drugs that block the mGluR5 receptor in the mouse improve plasticity, which means the neurons make more effective connections. Do we think that behavior in people is a good surrogate for improved neural plasticity? Well, it’s hard to know. Behavior in adults is the result of so many things that have built up all through their life that it’s really difficult to know whether a drug directed at a molecular cause of a disorder would necessarily make a specific behavior, or even general behavior, better.


S: How would you suggest measuring changes in plasticity in response to a drug treatment?

EB-K: We have to be able to measure learning. To really measure plasticity and learning, we’re going to have to do trials where we administer some kind of intensive training and then measure an outcome that would get better if that training was helpful. The measure would match what our program was designed to teach.


S: Can you give an example of a learning task?

EB-K: Leonard Abbeduto, director of the University of California, Davis MIND Institute in Sacramento, has a language-learning program that’s delivered by the parent. He has data suggesting that the training itself can accelerate language progress a little bit, so if you use the language-learning intervention in a young child along with a drug targeted to the disease process, you might see a difference in the ability of the child to learn language. You might predict that a child on the medication would have more words, or be able to express himself better than one who did not get the drug.

Elizabeth Berry-Kravis/Rush Photo Group

There’s some precedent for using language, reading, behavioral, math, social and executive training programs with people who have fragile X syndrome and showing that they seem to learn faster with the training — at least while they are doing the training. But these are small studies. I don’t know of any large, multicenter clinical trials that have employed a training method to assess drug efficacy and whether the drug can make a person learn faster.


S: What are some potential advantages to learning-based outcome measures?

EB-K: Many of these things would be direct assessments. I think one of the key things we need to get away from is having only parent-rated assessments in our trials, because parents experience a placebo effect. They really want things to work — and so things do tend to work. But I don’t think we want to stop using all those measures. We do want to know how the parent is viewing how their child is doing. We just don’t want to rely entirely on that when a more objective measure, where we’re directly observing what the child is doing, will give us more objective and more quantifiable data.


S: Do you think that’s something the U.S. Food and Drug Administration (FDA) would approve?

EB-K: I think the FDA could potentially be open to looking at this model, given the right presentation of what exactly one is trying to do, because these treatments in fragile X syndrome are a new kind of model. You can’t really apply the principles of trials for depression or maybe even attention deficit hyperactivity disorder to people with fragile X or other developmental disabilities, because these are developmental disorders that evolve over a long time. The primary problem in fragile X is not one symptom; it’s that there’s an abnormality of synaptic plasticity. In order to see if a drug is directly targeting the disorder, we have to be able to measure learning and thinking.


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  • That’s Brilliant!

    Parents don’t think the drug helps. The current criteria doesn’t show the drug helps. Eureka! Let’s change how we define “helps”.

  • FxMom

    Um, no, let’s try that again, “brilliant”. The problem is that parents DO think the drug helps. Even when the drug is a placebo, which lessens any proof that the drug IS working effectively. How about he change the definition of help to something that will actually provide quantifiable evidence instead of “I think my baby is getting better”, and that may actually lead to REAL treatments for families that need it.

  • That’s Brilliant!

    You do realize we don’t have quantifiable evidence with autism. We have observations. Which, inevitably, increased interaction does alleviate autistic symptoms. I feel like the gist of the article was saying, we aren’t making any progress. Big Pharma wants to make money and so we need results, so let’s make it easier to get “results”. But, maybe I’m too pessimistic and these organizations are more altruistic than I give them credit for.

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