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'Man on Fire Syndrome': In a world of chronic pain, individual treatment possible, research shows

Date:
November 13, 2012
Source:
Yale University
Summary:
An investigation into the molecular causes of a debilitating condition known as "Man on Fire Syndrome" has led researchers to develop a strategy that may lead to personalized pain therapy and predict which chronic pain patients will respond to treatment.

An investigation into the molecular causes of a debilitating condition known as "Man on Fire Syndrome" has led Yale researchers to develop a strategy that may lead to personalized pain therapy and predict which chronic pain patients will respond to treatment.

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More than a quarter of Americans suffer from chronic pain and nearly 40 percent do not get effective relief from existing drugs. In many common conditions such as diabetic neuropathy, no clear source of pain is found.

The new study published in the Nov. 13 issue of Nature Communications used sophisticated atomic modeling techniques to search for mutations found in a rare, agonizing, and previously untreatable form of chronic pain called erythromelagia, commonly referred to as "Man on Fire Syndrome." Researchers discovered that one of those mutations seem to predicted whether a patient would respond positively to drug treatment.

"Hopefully we can use this knowledge to help chronic pain patients in more systematic ways, and not depend upon trial and error," said Yang Yang, postdoctoral research associate in the Department of Neurology and lead author of the paper.

Under the leadership of Stephen Waxman, the Bridget Marie Flaherty Professor of Neurology, professor of neurobiology and of pharmacology, and senior author of the new paper, Yale has been a leader in identifying the sodium channel Nav1.7 at the base nerve cells as the regulator of several forms of chronic pain. The members of the Waxman lab were intrigued when it was reported the anti-seizure medicine carbamazepine relieved pain in members of a family suffering from erythromelagia, apparently by working on the Nav 1.7 sodium channel.

Yale researchers conducted an exhaustive genetic analysis and discovered that a specific variant -- a difference of a single amino acid among 1,800 -- in the sodium channel explained why this family responded to the drug. In this new paper, the Yale team developed a three-dimensional structural model of human Nav1.7 channel and systemically looked at different erythromelagia mutations at the atomic level. The Yale team found an additional, second mutation that was sensitive to carbamazepine treatment. In theory, chronic pain patients with this mutation should respond to treatment with carbamazepine.

"This work shows us that the goal of personalized, genomically-guided drug treatment for pain is not unrealistic," Waxman said.

The U.S. Department of Veterans Affairs funded the work.

Other Yale authors include Sulayman D. Dib-Hajj, Lynda Tyrrell, and Mark Estacion.


Story Source:

The above story is based on materials provided by Yale University. Note: Materials may be edited for content and length.


Journal Reference:

  1. Yang Yang, Sulayman D. Dib-Hajj, Jian Zhang, Yang Zhang, Lynda Tyrrell, Mark Estacion, Stephen G. Waxman. Structural modelling and mutant cycle analysis predict pharmacoresponsiveness of a Nav1.7 mutant channel. Nature Communications, 2012; 3: 1186 DOI: 10.1038/ncomms2184

Cite This Page:

Yale University. "'Man on Fire Syndrome': In a world of chronic pain, individual treatment possible, research shows." ScienceDaily. ScienceDaily, 13 November 2012. <www.sciencedaily.com/releases/2012/11/121113122040.htm>.
Yale University. (2012, November 13). 'Man on Fire Syndrome': In a world of chronic pain, individual treatment possible, research shows. ScienceDaily. Retrieved December 18, 2014 from www.sciencedaily.com/releases/2012/11/121113122040.htm
Yale University. "'Man on Fire Syndrome': In a world of chronic pain, individual treatment possible, research shows." ScienceDaily. www.sciencedaily.com/releases/2012/11/121113122040.htm (accessed December 18, 2014).

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