Imaging technology could help combat a disease that endangers millions of the ocean’s creatures
Ocean-dwelling starfish, known more correctly as sea stars, are succumbing in droves to a recently discovered syndrome called sea star wasting disease. Fortunately, Eric Littman, V17, who spent last summer at the Seattle and Vancouver aquariums studying the animals with imaging technology, may have helped find ways to intervene.
Sea star wasting disease, the cause of which remains uncertain, has baffled scientists since it first appeared in the summer of 2013. Some species of the affected sea stars act lethargic or have arms that are abnormally curled upward; others abruptly change color. In either case, they soon develop skin lesions through which their internal organs may eventually fall out. In the end, their limbs detach, and they die.
A significant loss of stars could have a dangerous domino effect. “You don’t think of them as being particularly fast,” says Littman, “but sea stars are important keystone predators in the tide pools.”
His summer studies investigated whether sea stars with the wasting disease could be identified before they showed outward signs of it. While early detection won’t benefit sea stars in the wild, it would help aquatic veterinarians care for captive ones, which are getting sick just as much as their wild counterparts. Early indicators of the disease, Littman theorized, could be found in density scans of the sea creatures.
His research followed up on the findings of a Monterey Bay Aquarium veterinarian who had seen some decreased density in the bodies of sea stars with the wasting syndrome. Littman’s work was supported by the International Association for Aquatic Animal Medicine and the national AQUAVET program based at Cornell University.
Felicia Nutter, V93, a research assistant professor of infectious disease and global health at Cummings School, hooked the third-year veterinary student up with veterinarians Lesanna Lahner of the Seattle Aquarium and Marty Haulena of the Vancouver Aquarium. Under their mentorship, Littman compared images of ailing and healthy sea stars in hopes of finding telltale density variations.
He was interested in the tiny bones, called ossicles, that run throughout the bodies of sea stars. These vary in shape and size and form the skeletal network that supports a star’s body. One of the biggest challenges Littman faced was how to use technology to get images of the ossicles.
In human medicine, doctors use dual X-ray absorptiometry to measure bones’ mineral density and diagnose conditions like osteoporosis. But the machines that do these scans are very expensive. Besides, he says, “I would have also needed to be able to compare the results to a range of ‘normals,’ which didn’t exist” for sea stars.
Maurice Solano, an assistant professor of diagnostic imaging at Cummings School, gave him tips on how to use software to come up with a range of normal densities for healthy sea stars, Those densities could then be compared with the densities of sea stars with wasting disease.
CT scans did the job. Because a CT scanner takes hundreds of cross-sectional pictures, Littman was able to assess sea star ossicles in several different planes and even in 3-D.
“We weren’t able to determine where a lesion was going to appear on the skin of a sick sea star,” he says, “but we were able to get the overall density of a sea star and determine whether it was above or below the ‘normal’ determined from CT scans of healthy stars. Our preliminary data showed that the ossicles of healthy stars have much higher density.”
Now back on campus, Littman expects to be first author, with Lahner and Haulena, on a forthcoming paper about how to perform an X-ray on a sea star to help diagnose other conditions. He says he hopes to continue working with sea stars and other marine animals.
“The ocean covers 70 percent of the earth, and we know less about it than we do about space,” says Littman. “Invertebrates, fish, marine mammals, sea turtles—that’s where my passion lives.”
Genevieve Rajewski can be reached at firstname.lastname@example.org.