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Decoding protein structures helps illuminate cause of diabetes

MADISON -- Any photographer can vouch for the difficulty of capturing a clear picture of a moving target.

When it comes to molecules, however, sometimes the motion is exactly what scientists want to see - for example, to understand the pathological protein mis-folding and assembly that seem to underlie a host of human disorders, including diabetes and Alzheimer's disease.

Now, chemists at the University of Wisconsin-Madison have designed a powerful analytical tool capable of measuring molecular structures quickly and accurately enough to catch moving proteins in mid-fold and see the shapes of intermediate steps. As described in this week's online issue of the Proceedings of the National Academy of Sciences, the first applications of the technique offer a glimpse into the contorted form of a human protein that is implicated in type II diabetes.

Pancreatic damage in type II diabetes has been linked to toxic clumps of the protein hIAPP (human islet amyloid polypeptide), which is normally produced by the same cells that make insulin. An unknown trigger prompts the protein to fold into sharp fibers that poke holes in pancreatic cells, killing them.

Though scientists already have a good idea of the healthy "before" and dangerous "after" hIAPP structures, the steps in between remain somewhat of a mystery and may hold clues to what drives the transition, says UW-Madison chemistry professor Martin Zanni, who led the new study.

In trying to understand diabetes, "people have been looking at the fibers, but they should be looking at their formation," he says. "Somehow that mechanism is causing holes [in pancreas cells], which cause disease."

To break down this dynamic process, he adds, "We need tools that not only allow us to probe the molecular structures, but also look at how the structures change in time." Zanni's research group uses a method, known as two-dimensional infrared spectroscopy (2-D IR for
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Contact: Martin Zanni
zanni@chem.wisc.edu
608-262-4783
University of Wisconsin-Madison
16-May-2007


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