Summary: A new sensor can monitor communication within the brain in ways never previously possible. The sensor has already deciphered why some Alzheimer’s drugs have limited effectiveness and why patients often regress after stopping the medications.
Source: University of Virginia
Scientists at the University of Virginia School of Medicine have developed a tool to monitor communications within the brain in a way never before possible, and it has already offered an explanation for why Alzheimer’s drugs have limited effectiveness and why patients get much worse after going off of them.
The researchers expect their new method will have tremendous impact on our understanding of depression, sleep disorders, autism, neurological diseases and major psychiatric conditions. It will speed scientific research into the workings of the brain, they say, and facilitate the development of new treatments.
“We can now ‘see’ how brain cells communicate in sharp detail in both the healthy and diseased brains,” said lead researcher J. Julius Zhu, PhD, of UVA’s Department of Pharmacology.
Unexpected Transmissions
The new method developed by Zhu and his collaborators lets scientists examine transmissions inside the brain at both the microscopic level and the far, far smaller nanoscopic level. It combines a biological “sensor” with two different forms of cutting-edge imaging.
The approach can quantify “neuromodulatory” transmissions, which are associated with major brain disorders, including addiction, Alzheimer’s, depressive disorders and schizophrenia. They’re also linked to autism, epilepsy, eating disorders and sleep disorders.
Neuromodulatory transmissions are the “slower” transmissions in the brain. They’re typically thought to involve lots of neurons in large regions. That’s in contrast to the much faster transmissions that happen neuron-to-neuron.
But Zhu’s new tool has already shown it’s not that simple.
In Alzheimer’s disease, Zhu and his colleagues discovered a surprising degree of “fine control and precision” in the supposedly shotgun neuromodulatory transmissions. Widely used Alzheimer’s drugs known as acetylcholinesterase inhibitors may inhibit this precise communication, the scientists report. That may explain the limited effectiveness of the drugs, they say.
The researchers went on to identify potential changes in the brain that could be brought about by long-term use of the drugs, which could explain why patients often get much worse when they stop taking them. “The new method points out Alzheimer’s defects in the unprecedented spatial and temporal resolution, defining the precise targets for medicine,” Zhu said.
Alzheimer’s, the researchers say, is just the tip of the iceberg. The new system has “broad applicability” across the spectrum of neurological and psychiatric diseases and disorders, they report. In the years to come, the scientists predict, it will help doctors understand neurological illnesses and psychiatric problems, screen drugs for potential treatments, identify disease-causing genes and develop better, more personalized medicine tailored for specific patient needs.
“If we see problems,” Zhu said, “we will be ready to treat them.”
About this neurotech research news
Source: University of Virginia
Contact: Josh Barney – University of Virginia
Image: The image is in the public domain
Original Research: Open access.
“Genetically encoded sensors enable micro- and nano-scopic decoding of transmission in healthy and diseased brains” by Li Lin, Smriti Gupta, W. Sharon Zheng, Ke Si and Zhu, and Paula K. Zhu, W. Sharon Zheng, Peng Zhang, Miao Jing, Philip M. Borden, Farhan Ali, Kaiming Guo, Jiesi Feng, Jonathan S. Marvin, Yali Wang, Jinxia Wan, Li Gan, Alex C. Kwan, Li Lin, Loren L. Looger, Yulong Li and Yajun Zhang. Molecular Psychiatry
Abstract
Genetically encoded sensors enable micro- and nano-scopic decoding of transmission in healthy and diseased brains
Neural communication orchestrates a variety of behaviors, yet despite impressive effort, delineating transmission properties of neuromodulatory communication remains a daunting task due to limitations of available monitoring tools.
Recently developed genetically encoded neurotransmitter sensors, when combined with superresolution and deconvolution microscopic techniques, enable the first micro- and nano-scopic visualization of neuromodulatory transmission.
Here we introduce this image analysis method by presenting its biophysical foundation, practical solutions, biological validation, and broad applicability. The presentation illustrates how the method resolves fundamental synaptic properties of neuromodulatory transmission, and the new data unveil unexpected fine control and precision of rodent and human neuromodulation.
The findings raise the prospect of rapid advances in the understanding of neuromodulatory transmission essential for resolving the physiology or pathogenesis of various behaviors and diseases.
