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Dye gets amyloids to ‘blink’ to make them easier to spot

(Credit: Getty Images)

A new technique causes amyloids in the brain to flash or “blink” so scientists can better spot them.

Amyloids are tiny protein structures that are key to understanding certain devastating age-related diseases. Aggregates, or sticky clumped-up amyloids, form plaques in the brain, and are the main culprits in the progression of Alzheimer’s and Huntington’s diseases. Amyloids are so tiny, however, that researchers can’t visualize them using conventional microscopic techniques.

“It has been pretty difficult, finding a way to image them in a non-invasive way—not changing the way they come together—and also figuring out a way to image them long-term to see how they clump and form larger structures,” says Matthew Lew, assistant professor in the electrical and systems engineering department at the School of Engineering & Applied Science at Washington University in St. Louis. “That was the focus of our research.”

Currently, scientists seeking to visualize amyloids use large amounts of a fluorescent material to coat the proteins in a test tube. When using a fluorescence microscope, the amyloids glow. However, it isn’t known how dyes that are permanently attached might alter the basic structure and behavior of the amyloid. It’s also difficult to discern the nanoscale structures at play using this bulk experimental technique.

“The [dye] behaved like a group of fireflies, lighting up anytime they come into contact with the amyloid…”

Lew, whose research focus includes super-resolution microscopy and single-molecule imaging, worked with Jan Bieschke, an associate professor of brain science at University College in London, to develop the new technique that makes them blink. It’s called transient amyloid binding (TAB) imaging.

TAB uses a standard dye called thioflavin T, but instead of coating the amyloids, it temporarily sticks to them one at a time. The effect isn’t permanent, and the amyloids emit light until the dye detaches, yielding a distinctive blinking effect.

The researchers were able to use a fluorescence microscope to observe and record the blinks. They then localized the position of each blinking thioflavin and reconstructed a super-resolved picture of the exact amyloid structure.

“The thioflavin T behaved like a group of fireflies, lighting up anytime they come into contact with the amyloid,” Bieschke says.

“What we saw were flashes of light over time,” Lew says. “On our computer screens, you’d see these individual spots blinking in sequence. We were then able to overlay all these dots together, giving us a complete look at the structure. If you didn’t separate them out, you’d see a blur.”

The team tested the TAB technique on a variety of amyloid structures and could reconstruct images for all of them, over an extended period of time and at various stages of aggregation.

“There’s an intimate connection between seeing the proteins’ structure and learning how these proteins interact with neurons,” Lew says. “Ultimately, we need the imaging to understand all of the different shapes and structures that these proteins are building over time, and how that relates to the death of cells later on.”

The research appears in the journal ChemBioChem.

The National Science Foundation and the National Institute of General Medical Science of the National institutes of Health provided support for the research.

Source: Washington University in St. Louis

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New method could make probing epileptic brains easier

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A new technique may simplify the placement of electrodes in the brains of patients with epilepsy.

The method, called BrainGuide, is a software-based automation tool for use by neurosurgeons that plots the correct placement of probes in the brains of patients with non-treatable forms of epilepsy.

The gathered information could then be used to design future procedures in which doctors could remove, destroy with lasers, or modulate with electrical stimulation the portion of the brain causing the seizures.

brain electrode epilepsy
Nitin Tandon holds an electrode of the type inserted into the brains of patients with epilepsy. (Credit: Jeff Fitlow/Rice U.)

Nitin Tandon, a professor of neurosurgery at the University of Texas Health Science Center at Houston (UTHealth), director of the epilepsy surgery program at Memorial Hermann-Texas Medical Center, and an adjunct professor of electrical and computer engineering at Rice University who helped a team of students create the new technique, hopes to ease the burden on doctors who take the long way around when planning brain implants for a single patient before the initial operation.

“Doctors want to make sure they’re targeting the right part of the brain,” says team member Alex Gardner. “They do that by implanting these long, thin probes that are lined with electrodes, which then record over the course of several weeks, and they gather data.”

“Our part of the problem was figuring out exactly where to put those,” he says. “Doctors currently spend several hours planning each surgery individually. They look at all the data and based on their knowledge of what the brain looks like and the patient’s vasculature, the doctors decide what to do. We also need to avoid regions that are very dense and have a lot of blood in them.”

“The hope is someday, when we’ve had enough of a patient cohort and refined this technique further, this could save us a lot of time,” Tandon says.

The students, all senior computational and applied mathematics majors, used MRI and CT data from 40 of Tandon’s patients to build models of each brain and decide where the probes should go, working with Rice alumnus Kiefer Forseth, a researcher in Tandon’s lab.

Each patient can have up to 256 electrodes on up to 20 probes—thin, plastic-encased wires that must not only avoid vessels but also cross the brain regions of epileptic interest, Gardner says.

With the proper data, the students say the program can predict optimum electrode implantation in about 30 seconds and with a higher degree of safety than previous methods.

“It’s ideal if we find trajectories that are perpendicular to the skull, because they’re easier to screw and more likely to follow the trajectory that we prescribe,” Gardner says. “That weighs in almost as heavily as the vasculature does.”

A.I. spots epilepsy seizures in advance

Having completed their part, the project now moves back to UTHealth for more validation,  the students say.

“They need to validate and optimize this on a larger patient set moving forward, double check its accuracy and to compare it with previous surgeries,” says team member Wendy Knight.

“Obviously this work is a start, and there’s a lot more that needs to be done,” Tandon adds. “What’s missing is that it is currently driven by what I have done before, which may not necessarily be what some other surgeon wants to do, so we want to create a template that works for any surgeon.”

Student Evan Toler also worked on the project.

Source: Rice University