Of the mice that received the treatment, 75 percent got their memory functions back.
Australian researchers have come up with a non-invasive ultrasound technology that clears the brain of neurotoxic amyloid plaques – structures that are responsible for memory loss and a decline in cognitive function in Alzheimer’s patients.
If a person has Alzheimer’s disease, it’s usually the result of a build-up of two types of lesions – amyloid plaques, and neurofibrillary tangles. Amyloid plaques sit between the neurons and end up as dense clusters of beta-amyloid molecules, a sticky type of protein that clumps together and forms plaques.
Neurofibrillary tangles are found inside the neurons of the brain, and they’re caused by defective tau proteins that clump up into a thick, insoluble mass. This causes tiny filaments called microtubules to get all twisted, which disrupts the transportation of essential materials such as nutrients and organelles along them, just like when you twist up the vacuum cleaner tube.
As we don’t have any kind of vaccine or preventative measure for Alzheimer’s – a disease that affects 343,000 people in Australia, and 50 million worldwide – it’s been a race to figure out how best to treat it, starting with how to clear the build-up of defective beta-amyloid and tau proteins from a patient’s brain. Now a team from the Queensland Brain Institute (QBI) at the University of Queensland have come up with a pretty promising solution for removing the former.
Publishing in Science Translational Medicine, the team describes the technique as using a particular type of ultrasound called a focused therapeutic ultrasound, which non-invasively beams sound waves into the brain tissue. By oscillating super-fast, these sound waves are able to gently open up the blood-brain barrier, which is a layer that protects the brain against bacteria, and stimulate the brain’s microglial cells to activate. Microglila cells are basically waste-removal cells, so they’re able to clear out the toxic beta-amyloid clumps that are responsible for the worst symptoms of Alzheimer’s.
The team reports fully restoring the memory function of 75 percent of the mice they tested it on, with zero damage to the surrounding brain tissue. They found that the treated mice displayed improved performance in three memory tasks – a maze, a test to get them to recognise new objects, and one to get them to remember the places they should avoid.
“We’re extremely excited by this innovation of treating Alzheimer’s without using drug therapeutics,” one of the team, Jürgen Götz, said in a press release. “The word ‘breakthrough’ is often misused, but in this case I think this really does fundamentally change our understanding of how to treat this disease, and I foresee a great future for this approach.”
The team says they’re planning on starting trials with higher animal models, such as sheep, and hope to get their human trials underway in 2017.
You can hear an ABC radio interview with the team here.
Scientists at the Gladstone Institutes have deciphered how a protein called Arc regulates the activity of neurons – providing much-needed clues into the brain’s ability to form long-lasting memories.
These findings, reported in Nature Neuroscience, also offer newfound understanding as to what goes on at the molecular level when this process becomes disrupted.
Led by Gladstone senior investigator Steve Finkbeiner, MD, PhD, this research delved deep into the inner workings of synapses. Synapses are the highly specialized junctions that process and transmit information between neurons. Most of the synapses our brain will ever have are formed during early brain development, but throughout our lifetimes these synapses can be made, broken and strengthened. Synapses that are more active become stronger, a process that is essential for forming new memories.
However, this process is also dangerous, as it can overstimulate the neurons and lead to epileptic seizures. It must therefore be kept in check.
Neuroscientists recently discovered one important mechanism that the brain uses to maintain this important balance: a process called “homeostatic scaling.” Homeostatic scaling allows individual neurons to strengthen the new synaptic connections they’ve made to form memories, while at the same time protecting the neurons from becoming overly excited. Exactly how the neurons pull this off has eluded researchers, but they suspected that the Arc protein played a key role.
“Scientists knew that Arc was involved in long-term memory, because mice lacking the Arc protein could learn new tasks, but failed to remember them the next day,” said Finkbeiner, who is also a professor of neurology and physiology at UC San Francisco, with which Gladstone is affiliated. “Because initial observations showed Arc accumulating at the synapses during learning, researchers thought that Arc’s presence at these synapses was driving the formation of long-lasting memories.”
But Finkbeiner and his team thought there was something else in play.
The Role of Arc in Homeostatic Scaling
In laboratory experiments, first in animal models and then in greater detail in the petri dish, the researchers tracked Arc’s movements. And what they found was surprising.
“When individual neurons are stimulated during learning, Arc begins to accumulate at the synapses – but what we discovered was that soon after, the majority of Arc gets shuttled into the nucleus,” said Erica Korb, PhD, the paper’s lead author who completed her graduate work at Gladstone and UCSF.
“A closer look revealed three regions within the Arc protein itself that direct its movements: one exports Arc from the nucleus, a second transports it into the nucleus, and a third keeps it there,” she said. “The presence of this complex and tightly regulated system is strong evidence that this process is biologically important.”
In fact, the team’s experiments revealed that Arc acted as a master regulator of the entire homeostatic scaling process. During memory formation, certain genes must be switched on and off at very specific times in order to generate proteins that help neurons lay down new memories. From inside the nucleus, the authors found that it was Arc that directed this process required for homeostatic scaling to occur. This strengthened the synaptic connections without overstimulating them – thus translating learning into long-term memories.
Implications for a Variety of Neurological Diseases
“This discovery is important not only because it solves a long-standing mystery on the role of Arc in long-term memory formation, but also gives new insight into the homeostatic scaling process itself – disruptions in which have already been implicated in a whole host of neurological diseases,” said Finkbeiner. “For example, scientists recently discovered that Arc is depleted in the hippocampus, the brain’s memory center, in Alzheimer’s disease patients. It’s possible that disruptions to the homeostatic scaling process may contribute to the learning and memory deficits seen in Alzheimer’s.”
Dysfunctions in Arc production and transport may also be a vital player in autism. For example, the genetic disorder Fragile X syndrome – a common cause of both mental retardation and autism, directly affects the production of Arc in neurons.
“In the future,” added Dr. Korb, “we hope further research into Arc’s role in human health and disease can provide even deeper insight into these and other disorders, and also lay the groundwork for new therapeutic strategies to fight them.”
Journal reference: Abstract for “Arc in the nucleus regulates PML-dependent GluA1 transcription and homeostatic plasticity” by Erica Korb, Carol L Wilkinson, Ryan N Delgado, Kathryn L Lovero and Steven Finkbeiner in Nature Neuroscience. Published online June 9 2013 doi:10.1038/nn.3429
How does short-term memory work in relation to long-term memory? Are short-term daily memories somehow transferred to long-term storage while we sleep?
Alison Preston, an assistant professor at the University of Texas at Austin’s Center for Learning and Memory, recalls and offers an answer for this question.
A short-term memory’s conversion to long-term memory requires the passage of time, which allows it to become resistant to interference from competing stimuli or disrupting factors such as injury or disease. This time-dependent process of stabilization, whereby our experiences achieve a permanent record in our memory, is referred to as “consolidation.”
Memory consolidation can occur at many organizational levels in the brain. Cellular and molecular changes typically take place within the first minutes or hours of learning and result in structural and functional changes to neurons (nerve cells) or sets of neurons. Systems-level consolidation, involving the reorganization of brain networks that handle the processing of individual memories, may then happen, but on a much slower time frame that can take several days or years.
Memory does not refer to a single aspect of our experience but rather encompasses a myriad of learned information, such as knowing the identity of the 16th president of the United States, what we had for dinner last Tuesday or how to drive a car. The processes and brain regions involved in consolidation may vary depending on the particular characteristics of the memory to be formed.
Let’s consider the consolidation process that affects the category of declarative memory—that of general facts and specific events. This type of memory relies on the function of a brain region called the hippocampus and other surrounding medial temporal lobe structures. At the cellular level, memory is expressed as changes to the structure and function of neurons. For example, new synapses—the connections between cells through which they exchange information—can form to allow for communication between new networks of cells. Alternately, existing synapses can be strengthened to allow for increased sensitivity in the communication between two neurons.
Consolidating such synaptic changes requires the synthesis of new RNA and proteins in the hippocampus, which transform temporary alterations in synaptic transmission into persistent modifications of synaptic architecture. For example, blocking protein synthesis in the brains of mice does not affect the short-term memory or recall of newly learned spatial environments in hippocampal neurons. Inhibiting protein synthesis, however, does abolish the formation of new long-term representations of space in hippocampal neurons, thus impairing the consolidation of spatial memories.
Over time, the brain systems that support individual, declarative memories also change as a result of systems-level consolidation processes. Initially, the hippocampus works in concert with sensory processing regions distributed in the neocortex (the outermost layer of the brain) to form the new memories. Within the neocortex, representations of the elements that constitute an event in our life are distributed across multiple brain regions according to their content. For example, visual information is processed by primary visual cortex in the occipital lobe at the rear of the brain, while auditory information is processed by primary auditory cortex located in the temporal lobes, which lie on the side of the brain.
When a memory is initially formed, the hippocampus rapidly associates this distributed information into a single memory, thus acting as an index to representations in the sensory processing regions. As time passes, cellular and molecular changes allow for the strengthening of direct connections between neocortical regions, enabling the memory of an event to be accessed independently of the hippocampus. Damage to the hippocampus by injury or neurodegenerative disorder (Alzheimer’s disease, for instance) produces anterograde amnesia—the inability to form new declarative memories—because the hippocampus is no longer able to connect mnemonic information distributed in the neocortex before the data has been consolidated. Interestingly, such a disruption does not impair memory for facts and events that have already been consolidated. Thus, an amnesiac with hippocampal damage would not be able to learn the names of current presidential candidates but would be able to recall the identity 16th US president (Abraham Lincoln, of course!).
The role of sleep in memory consolidation is an ancient question dating back to the Roman rhetorician Quintilian in the first century A.D. Much research in the past decade has been dedicated to better understanding the interaction between sleep and memory. Yet little is understood.
At the molecular level, gene expression responsible for protein synthesis is increased during sleep in rats exposed to enriched environments, suggesting memory consolidation processes are enhanced, or may essentially rely, on sleep. Further, patterns of activity observed in rats during spatial learning are replayed in hippocampal neurons during subsequent sleep, further suggesting that learning may continue in sleep.
In humans, recent studies have demonstrated the benefits of sleep on declarative memory performance, thus giving a neurological basis to the old adage, “sleep on it.” A night of sleep reportedly enhances memory for associations between word pairs. Similar overnight improvements on virtual navigation tasks have been observed, which correlate with hippocampal activation during sleep. Sleep deprivation, on the other hand, is known to produce deficits in hippocampal activation during declarative memory formation, resulting in poor subsequent retention. Thus, the absence of prior sleep compromises our capacity for committing new experiences to memory. These initial findings suggest an important, if not essential, role for sleep in the consolidation of newly formed memories.
Researchers have figured out the speed that neural networks in the cerebral cortex can delete sensory information is a bit of information per active neuron per second. The activity patterns of the neural network models are deleted nearly as soon as they are passed on from sensory neurons.
The scientists used neural network models based on real neuronal properties for the first time for these calculations. Neuronal spike properties were figured into the models which also helped show that the cerebral cortex processes were extremely chaotic.
Neural networks and this type of research in general are all helping researchers better understand learning and memory processes. With better knowledge about learning and memory, researchers can work toward treatments for Alzheimer’s disease, dementia, learning disabilities, PTSD related memory loss and many other problems.
More details are provided in the release below. Read more…
Science is bringing some understanding of the heritability, prevalence, and inner workings of one of the most devastating diseases.(left) A PET scan’s bright areas reveal the concentration of amyloid beta, a protein that forms a plaque in Alzheimer’s patients. The scan compares the brains of a healthy patient (left) and a patient suffering from Alzheimer’s (right). Image: Alzheimer’s Disease Education and Referral Center, NIH
This has been a big week in Alzheimer’s news as scientists put together a clearer picture than ever before of how the disease affects the brain. Three recently published studies have detected the disease with new technologies, hinted at its prevalence, and described at last how it makes its lethal progress through the brain.
The existence of two forms of Alzheimer’s—early- and late-onset—has long baffled scientists. Of the estimated five million Americans who suffer from Alzheimer’s, only a few thousand are diagnosed with an early-onset form of the affliction, which affects people before the age of 65. This rare early-onset form is thought to be hereditary and scientists have associated multiple genetic mutations contributing to its occurrence. Late-onset Alzheimer’s, although more common, has been the bigger mystery. One variant of the APOE gene-—sometimes known as the Alzheimer’s gene—is linked to the late-onset disease. But the APOE gene, unlike dominant early-onset genes, does not determine whether a person will ultimately have dementia.
Now there’s evidence that late-onset Alzheimer’s has a genetic basis similar to that of early-onset Alzheimer’s. By sequencing select genes associated with the latter, along with frontotemporal dementia, researchers at Washington University in Saint Louis and other institutions found that patients with late-onset Alzheimer’s carry some of the same genetic mutations as those with the early-onset form. The evidence, published on Wednesday in PLoS ONE, bolsters the argument that the forms of Alzheimer’s that appear at different life stages should be classified as the same disease. As to why the disease appears earlier in some cases, the scientists speculated that those patients diagnosed relatively early in life carry more genetic risk factors for the disease.
This study’s use of rapid genetic sequencing, the authors noted, may provide a model for more precise identification of dementias. Within the study, the researchers identified patients who may have been misdiagnosed as having Alzheimer’s; the genes of these patients suggested that they had another type of dementia. Given the heritable component, patients with a family history could be screened to detect and diagnose Alzheimer’s early.
Other genetic research unveiled in the past week or so has shed light on the biological processes that underlie how Alzheimer’s affects the brain. Certain mutations may lead to an increased production of a protein called amyloid beta in the region of the brain that creates memory. This excess amyloid beta, naturally secreted by brain cells, then becomes a complex called an oligomer. These oligomers may interrupt the signals transmitted between neurons. As in other neurodegenerative diseases like Parkinson’s or Huntington’s, the spread of oligomers appears to be driving the disease process.
Oligomer-linked diseases are relatively common, in part because oligomers can also play an essential biological role in the brain. A recent investigation using fruit flies reveals that the presence of a specific oligomer is actually required for the flies to form long-term memories.
In an early stage of Alzheimer’s, the naturally secreted amyloid beta protein builds up as oligomers in the brain, which then go on to form larger aggregates called plaques. Later in the disease, another aberrant form of a protein called tau starts to build up, in the entorhinal cortex. Normally, tau helps provide structure crucial to neuron functioning. The buildup of tau, however, causes the protein to tangle and eventually kill brain cells. What was unknown until recently, however, was how the tau protein spreads through different brain regions.
Two studies—one to be published in Neuron and the other published in PLoS ONE on Wednesday—have answered this question using brain samples from mice genetically engineered to express tau as it occurs in the human brain. Using a staining technique to highlight tau’s distribution in the brain, they compared samples from mice of different ages to analyze how tau moved through brain cells over time. They found the protein spread from neuron to neighboring neuron, traveling along synapses.
Understanding how this protein moves may allow scientists to stop tau in its tracks. “This opens up a whole new world of biology,” says Columbia University’s Karen Duff, an author on the study published in PLoS ONE. Tau is implicated in 30 different forms of dementia. In addition, the movement of tau may be similar to the spread of oligomers associated with Parkinson’s and Huntington’s. Nonetheless, we are still a long way from a therapeutic solution and stopping tau, which comes at a relatively late stage of Alzheimer’s, might be a very limited therapy.
As the world’s population continues to age, Alzheimer’s becomes a threat to more of us with every passing day. Although we may not yet have new treatments from this work, the take-away on these findings is clear: If we really are going to win the war, or even a battle, against Alzheimer’s, we need basic research that can delve into the complex biology that contorts proteins and kills brain cells to find treatments for this disease.