Alzheimer’s disease
Getting Closer to a Blood Test for Alzheimer’s Disease?
Posted on by Dr. Francis Collins
As research on Alzheimer’s disease (AD) advances, a desperate need remains for an easy blood test to help diagnose the condition as early as possible. Ideally, such a test could also distinguish AD from other forms of dementia that produce similar symptoms. As published recently in Nature Medicine, an NIH-funded research team has designed a simple blood test that is on course to meet these criteria [1].
The latest work builds on a large body of work showing that one secret to predicting a person’s cognitive decline and treatment response in AD lies in a protein called tau. Using the powerful, but expensive, approach of PET scan imaging, we know that tau builds up in the brain as Alzheimer’s disease progresses. We also know that some tau spills from the brain into the bloodstream.
The trouble is that the circulating tau protein breaks down far too quickly for a blood test to offer a reliable measure of what’s happening in a person’s brain. A few years ago, researchers discovered a possible solution: test for blood levels of a slightly different and more stable version of the protein called pTau181 [2]. (The “p” in its name comes from the addition of phosphorus in a particular part of the protein’s structure.)
In the latest study, researchers in the lab of Adam Boxer, University of California, San Francisco, followed up further on this compelling lead. Boxer’s team measured pTau181 levels in blood samples from 362 people between the ages of 58 and 70. Those samples included 56 people with an Alzheimer’s diagnosis, along with 47 people with mild cognitive impairment and 69 healthy controls.
The researchers also included another 190 people diagnosed with frontotemporal lobar degeneration (FTLD). It is a relatively rare form of dementia that leads to a gradual decline in behavior, language, and movement, often in connection with a buildup of tau in the brain.
The study found that levels of pTau181 were roughly 3.5-times higher in the blood of people with AD compared to people without AD. Those with mild cognitive impairment due to underlying AD also showed an intermediate increase in blood levels of pTau181.
Importantly, people with FLTD had normal blood levels of pTau181. As a result, the blood test could reliably distinguish between a person with AD and a person with FLTD. That’s important because, while FLTD is a relatively rare condition, its prevalence is similar to AD in people under the age of 65. But both conditions have similar symptoms, making it often challenging to distinguish them.
The findings add to evidence that the new blood test can help in diagnosing AD and in distinguishing it from other neurodegenerative conditions. In fact, it does so with an accuracy that often rivals more expensive PET scans and more invasive cerebrospinal fluid tests, which are now the only reliable ways to measure tau.
There’s still plenty of work to do before this blood test is ready for a doctor’s office. But these initial findings are very promising in helping to simplify the diagnosis of this devastating condition that now affects an estimated 5.5 million Americans [3].
References:
[1] Diagnostic value of plasma phosphorylated tau181 in Alzheimer’s disease and frontotemporal lobar degeneration. Thijssen EH, La Joie R, Wolf A, Strom A, Wang P, Iaccarino L, Bourakova V, Cobigo Y, Heuer H, Spina S, VandeVrede L, Chai X, Proctor NK, Airey DC, Shcherbinin S, Duggan Evans C, Sims JR, Zetterberg H, Blennow K, Karydas AM, Teunissen CE, Kramer JH, Grinberg LT, Seeley WW, Rosen H, Boeve BF, Miller BL, Rabinovici GD, Dage JL, Rojas JC, Boxer AL; Advancing Research and Treatment for Frontotemporal Lobar Degeneration (ARTFL) investigators. Nat Med. 2020 Mar 2.
[2] Plasma phospho-tau181 increases with Alzheimer’s disease clinical severity and is associated with tau- and amyloid-positron emission tomography. Mielke MM, Hagen CE, Xu J, Chai X, Vemuri P, Lowe VJ, Airey DC, Knopman DS, Roberts RO, Machulda MM, Jack CR Jr, Petersen RC, Dage JL. Alzheimers Dement. 2018 Aug;14(8):989-997.
[3] Alzheimer’s Disease Fact Sheet. National Institute on Aging, May 22, 2019.
Links:
Alzheimer’s Disease & Related Dementias (National Institute on Aging/NIH)
What Are Frontotemporal Disorders? (NIA)
Accelerating Medicines Partnership: Alzheimer’s Disease (NIH)
Adam Boxer (University of California, San Francisco)
NIH Support: National Institute on Aging; National Institute of Neurological Disorders and Stroke; National Center for Advancing Translational Sciences
Discovering the Brain’s Nightly “Rinse Cycle”
Posted on by Dr. Francis Collins
Getting plenty of deep, restful sleep is essential for our physical and mental health. Now comes word of yet another way that sleep is good for us: it triggers rhythmic waves of blood and cerebrospinal fluid (CSF) that appear to function much like a washing machine’s rinse cycle, which may help to clear the brain of toxic waste on a regular basis.
The video above uses functional magnetic resonance imaging (fMRI) to take you inside a person’s brain to see this newly discovered rinse cycle in action. First, you see a wave of blood flow (red, yellow) that’s closely tied to an underlying slow-wave of electrical activity (not visible). As the blood recedes, CSF (blue) increases and then drops back again. Then, the cycle—lasting about 20 seconds—starts over again.
The findings, published recently in the journal Science, are the first to suggest that the brain’s well-known ebb and flow of blood and electrical activity during sleep may also trigger cleansing waves of blood and CSF. While the experiments were conducted in healthy adults, further study of this phenomenon may help explain why poor sleep or loss of sleep has previously been associated with the spread of toxic proteins and worsening memory loss in people with Alzheimer’s disease.
In the new study, Laura Lewis, Boston University, MA, and her colleagues at the Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston. recorded the electrical activity and took fMRI images of the brains of 13 young, healthy adults as they slept. The NIH-funded team also built a computer model to learn more about the fluid dynamics of what goes on in the brain during sleep. And, as it turns out, their sophisticated model predicted exactly what they observed in the brains of living humans: slow waves of electrical activity followed by alternating waves of blood and CSF.
Lewis says her team is now working to come up with even better ways to capture CSF flow in the brain during sleep. Currently, people who volunteer for such experiments have to be able to fall asleep while wearing an electroencephalogram (EEG) cap inside of a noisy MRI machine—no easy feat. The researchers are also recruiting older adults to begin exploring how age-related changes in brain activity during sleep may affect the associated fluid dynamics.
Reference:
[1] Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep. Fultz NE, Bonmassar G, Setsompop K, Stickgold RA, Rosen BR, Polimeni JR, Lewis LD. Science. 2019 Nov 1;366(6465):628-631.
Links:
Sleep and Memory (National Institute of Mental Health/NIH)
Sleep Deprivation and Deficiency (National Heart, Lung, and Blood Institute/NIH)
Alzheimer’s Disease and Related Dementias (National Institute on Aging/NIH)
NIH Support: National Institute of Mental Health; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke
Aging Research: Blood Proteins Show Your Age
Posted on by Dr. Francis Collins
How can you tell how old someone is? Of course, you could scan their driver’s license or look for signs of facial wrinkles and gray hair. But, as researchers just found in a new study, you also could get pretty close to the answer by doing a blood test.
That may seem surprising. But in a recent study in Nature Medicine, an NIH-funded research team was able to gauge a person’s age quite reliably by analyzing a blood sample for levels of a few hundred proteins. The results offer important new insights into what happens as we age. For example, the team suggests that the biological aging process isn’t steady and appears to accelerate periodically—with the greatest bursts coming, on average, around ages 34, 60, and 78.
These findings indicate that it may be possible one day to devise a blood test to identify individuals who are aging faster biologically than others. Such folks might be at risk earlier in life for cardiovascular problems, Alzheimer’s disease, osteoarthritis, and other age-related health issues.
What’s more, this work raises hope for interventions that may slow down the “proteomic clock” and perhaps help to keep people biologically younger than their chronological age. Such a scenario might sound like pure fantasy, but this same group of researchers showed a few years ago that it’s indeed possible to rejuvenate an older mouse by infusing blood from a much younger mouse.
Those and other earlier findings from the lab of Tony Wyss-Coray, Stanford School of Medicine, Palo Alto, CA, raised the tantalizing possibility that certain substances in young blood can revitalize the aging brain and other parts of the body. In search of additional clues in the new study, the Wyss-Coray team tracked how the protein composition of blood changes as people age.
To find those clues, they isolated plasma from more than 4,200 healthy individuals between ages 18 and 95. The researchers then used data from more than half of the participants to assemble a “proteomic clock” of aging. Within certain limits, the clock could accurately predict the chronological age of the study’s remaining 1,446 participants. The best predictions relied on just 373 of the clock’s almost 3,000 proteins.
As further validation, the clock also reliably predicted the correct chronological age of four groups of people not in the study. Interestingly, it was possible to make a decent age prediction based on just nine of the clock’s most informative proteins.
The findings show that telltale proteomic changes arise with age, and they likely have important and as-yet unknown health implications. After all, those proteins found circulating in the bloodstream come not just from blood cells but also from cells throughout the body. Intriguingly, the researchers report that people who appeared biologically younger than their actual chronological age based on their blood proteins also performed better on cognitive and physical tests.
Most of us view aging as a gradual, linear process. However, the protein evidence suggests that, biologically, aging follows a more complex pattern. Some proteins did gradually tick up or down over time in an almost linear fashion. But the levels of many other proteins rose or fell more markedly over time. For instance, one neural protein in the blood stayed constant until around age 60, when its levels spiked. Why that is so remains to be determined.
As noted, the researchers found evidence that the aging process includes a series of three bursts. Wyss-Coray said he found it especially interesting that the first burst happens in early mid-life, around age 34, well before common signs of aging and its associated health problems would manifest.
It’s also well known that men and women age differently, and this study adds to that evidence. About two-thirds of the proteins that changed with age also differed between the sexes. However, because the effect of aging on the most important proteins of the clock is much stronger than the differences in gender, the proteomic clock still could accurately predict the ages in all people.
Overall, the findings show that protein substances in blood can serve as a useful measure of a person’s chronological and biological age and—together with Wyss-Coray’s earlier studies—that substances in blood may play an active role in the aging process. Wyss-Coray reports that his team continues to dig deeper into its data, hoping to learn more about the origins of particular proteins in the bloodstream, what they mean for our health, and how to potentially turn back the proteomic clock.
Reference:
[1] Undulating changes in human plasma proteome profiles across the lifespan. Lehallier B, Gate D, Schaum N, Nanasi T, Lee SE, Yousef H, Moran Losada P, Berdnik D, Keller A, Verghese J, Sathyan S, Franceschi C, Milman S, Barzilai N, Wyss-Coray T. Nat Med. 2019 Dec;25(12):1843-1850.
Links:
What Do We Know About Healthy Aging? (National Institute on Aging/NIH)
Cognitive Health (NIA)
Wyss-Coray Lab (Stanford University, Palo Alto, CA)
NIH Support: National Institute on Aging
New Grants Explore Benefits of Music on Health
Posted on by Dr. Francis Collins
It’s not every day you get to perform with one of the finest voices on the planet. What an honor it was to join renowned opera singer Renée Fleming back in May for a rendition of “How Can I Keep from Singing?” at the NIH’s J. Edward Rall Cultural Lecture. Yet our duet was so much more. Between the song’s timeless message and Renée’s matchless soprano, the music filled me with a profound sense of joy, like being briefly lifted outside myself into a place of beauty and well-being. How does that happen?
Indeed, the benefits of music for human health and well-being have long been recognized. But biomedical science still has a quite limited understanding of music’s mechanisms of action in the brain, as well as its potential to ease symptoms of an array of disorders including Parkinson’s disease, stroke, and post-traumatic stress disorder (PTSD). In a major step toward using rigorous science to realize music’s potential for improving human health, NIH has just awarded $20 million over five years to support the first research projects of the Sound Health initiative. Launched a couple of years ago, Sound Health is a partnership between NIH and the John F. Kennedy Center for the Performing Arts, in association with the National Endowment for the Arts.
With support from 10 NIH institutes and centers, the Sound Health awardees will, among other things, study how music might improve the motor skills of people with Parkinson’s disease. Previous research has shown that the beat of a metronome can steady the gait of someone with Parkinson’s disease, but more research is needed to determine exactly why that happens.
Other fascinating areas to be explored by the Sound Health awardees include:
• Assessing how active music interventions, often called music therapies, affect multiple biomarkers that correlate with improvement in health status. The aim is to provide a more holistic understanding of how such interventions serve to ease cancer-related stress and possibly even improve immune function.
• Investigating the effects of music on the developing brain of infants as they learn to talk. Such work may be especially helpful for youngsters at high risk for speech and language disorders.
• Studying synchronization of musical rhythm as part of social development. This research will look at how this process is disrupted in children with autism spectrum disorder, possibly suggesting ways of developing music-based interventions to improve communication.
• Examining the memory-related impacts of repeated exposures to a certain song or musical phrase, including those “earworms” that get “stuck” in our heads. This work might tell us more about how music sometimes serves as a cue for retrieving associated memories, even in people whose memory skills are impaired by Alzheimer’s disease or other cognitive disorders.
• Tracing the developmental timeline—from childhood to adulthood—of how music shapes the brain. This will include studying how musical training at different points on that timeline may influence attention span, executive function, social/emotional functioning, and language skills.
We are fortunate to live in an exceptional time of discovery in neuroscience, as well as an extraordinary era of creativity in music. These Sound Health grants represent just the beginning of what I hope will be a long and productive partnership that brings these creative fields together. I am convinced that the power of science holds tremendous promise for improving the effectiveness of music-based interventions, and expanding their reach to improve the health and well-being of people suffering from a wide variety of conditions.
Links:
The Soprano and the Scientist: A Conversation About Music and Medicine, (National Public Radio, June 2, 2017)
NIH Workshop on Music and Health, January 2017
Sound Health (NIH)
NIH Support: National Center for Complementary and Integrative Health; National Eye Institute; National Institute on Aging; National Institute on Alcohol Abuse and Alcoholism; National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health; National Institute of Neurological Disorders and Stroke; National Institute of Nursing Research; Office of Behavioral and Social Sciences Research; Office of the Director
New Study Points to Targetable Protective Factor in Alzheimer’s Disease
Posted on by Dr. Francis Collins
If you’ve spent time with individuals affected with Alzheimer’s disease (AD), you might have noticed that some people lose their memory and other cognitive skills more slowly than others. Why is that? New findings indicate that at least part of the answer may lie in differences in their immune responses.
Researchers have now found that slower loss of cognitive skills in people with AD correlates with higher levels of a protein that helps immune cells clear plaque-like cellular debris from the brain [1]. The efficiency of this clean-up process in the brain can be measured via fragments of the protein that shed into the cerebrospinal fluid (CSF). This suggests that the protein, called TREM2, and the immune system as a whole, may be promising targets to help fight Alzheimer’s disease.
The findings come from an international research team led by Michael Ewers, Institute for Stroke and Dementia Research, Ludwig-Maximilians-Universität München, Germany, and Christian Haass, Ludwig-Maximilians-Universität München, Germany and German Center for Neurodegenerative Diseases. The researchers got interested in TREM2 following the discovery several years ago that people carrying rare genetic variants for the protein were two to three times more likely to develop AD late in life.
Not much was previously known about TREM2, so this finding from a genome wide association study (GWAS) was a surprise. In the brain, it turns out that TREM2 proteins are primarily made by microglia. These scavenging immune cells help to keep the brain healthy, acting as a clean-up crew that clears cellular debris, including the plaque-like amyloid-beta that is a hallmark of AD.
In subsequent studies, Haass and colleagues showed in mouse models of AD that TREM2 helps to shift microglia into high gear for clearing amyloid plaques [2]. This animal work and that of others helped to strengthen the case that TREM2 may play an important role in AD. But what did these data mean for people with this devastating condition?
There had been some hints of a connection between TREM2 and the progression of AD in humans. In the study published in Science Translational Medicine, the researchers took a deeper look by taking advantage of the NIH-funded Alzheimer’s Disease Neuroimaging Initiative (ADNI).
ADNI began more than a decade ago to develop methods for early AD detection, intervention, and treatment. The initiative makes all its data freely available to AD researchers all around the world. That allowed Ewers, Haass, and colleagues to focus their attention on 385 older ADNI participants, both with and without AD, who had been followed for an average of four years.
Their primary hypothesis was that individuals with AD and evidence of higher TREM2 levels at the outset of the study would show over the years less change in their cognitive abilities and in the volume of their hippocampus, a portion of the brain important for learning and memory. And, indeed, that’s exactly what they found.
In individuals with comparable AD, whether mild cognitive impairment or dementia, those having higher levels of a TREM2 fragment in their CSF showed a slower decline in memory. Those with evidence of a higher ratio of TREM2 relative to the tau protein in their CSF also progressed more slowly from normal cognition to early signs of AD or from mild cognitive impairment to full-blown dementia.
While it’s important to note that correlation isn’t causation, the findings suggest that treatments designed to boost TREM2 and the activation of microglia in the brain might hold promise for slowing the progression of AD in people. The challenge will be to determine when and how to target TREM2, and a great deal of research is now underway to make these discoveries.
Since its launch more than a decade ago, ADNI has made many important contributions to AD research. This new study is yet another fine example that should come as encouraging news to people with AD and their families.
References:
[1] Increased soluble TREM2 in cerebrospinal fluid is associated with reduced cognitive and clinical decline in Alzheimer’s disease. Ewers M, Franzmeier N, Suárez-Calvet M, Morenas-Rodriguez E, Caballero MAA, Kleinberger G, Piccio L, Cruchaga C, Deming Y, Dichgans M, Trojanowski JQ, Shaw LM, Weiner MW, Haass C; Alzheimer’s Disease Neuroimaging Initiative. Sci Transl Med. 2019 Aug 28;11(507).
[2] Loss of TREM2 function increases amyloid seeding but reduces plaque-associated ApoE. Parhizkar S, Arzberger T, Brendel M, Kleinberger G, Deussing M, Focke C, Nuscher B, Xiong M, Ghasemigharagoz A, Katzmarski N, Krasemann S, Lichtenthaler SF, Müller SA, Colombo A, Monasor LS, Tahirovic S, Herms J, Willem M, Pettkus N, Butovsky O, Bartenstein P, Edbauer D, Rominger A, Ertürk A, Grathwohl SA, Neher JJ, Holtzman DM, Meyer-Luehmann M, Haass C. Nat Neurosci. 2019 Feb;22(2):191-204.
Links:
Alzheimer’s Disease and Related Dementias (National Institute on Aging/NIH)
Alzheimer’s Disease Neuroimaging Initiative (University of Southern California, Los Angeles)
Ewers Lab (University Hospital Munich, Germany)
Haass Lab (Ludwig-Maximilians-Universität München, Germany)
German Center for Neurodegenerative Diseases (Bonn)
Institute for Stroke and Dementia Research (Munich, Germany)
NIH Support: National Institute on Aging
The Amazing Brain: Deep Brain Stimulation
Posted on by Dr. Francis Collins
August is here, and many folks have plans to enjoy a well-deserved vacation this month. I thought you might enjoy taking a closer look during August at the wonder and beauty of the brain here on my blog, even while giving your own brains a rest from some of the usual work and deadlines.
Some of the best imagery—and best science—comes from the NIH-led Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative, a pioneering project aimed at revolutionizing our understanding of the human brain. Recently, the BRAIN Initiative held a “Show Us Your Brain Contest!”, which invited researchers involved in the effort to submit their coolest images. So, throughout this month, I’ve decided to showcase a few of these award-winning visuals.
Let’s start with the first-place winner in the still-image category. What you see above is an artistic rendering of deep brain stimulation (DBS), an approach now under clinical investigation to treat cognitive impairment that can arise after a traumatic brain injury and other conditions.
The vertical lines represent wire leads with a single electrode that has been inserted deep within the brain to reach a region involved in cognition, the central thalamus. The leads are connected to a pacemaker-like device that has been implanted in a patient’s chest (not shown). When prompted by the pacemaker, the leads’ electrode emits electrical impulses that stimulate a network of neuronal fibers (blue-white streaks) involved in arousal, which is an essential component of human consciousness. The hope is that DBS will improve attention and reduce fatigue in people with serious brain injuries that are not treatable by other means.
Andrew Janson, who is a graduate student in Christopher Butson’s NIH-supported lab at the Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, composed this image using a software program called Blender. It’s an open-source, 3D computer graphics program often used to create animated films or video games, but not typically used in biomedical research. That didn’t stop Janson.
With the consent of a woman preparing to undergo experimental DBS treatment for a serious brain injury suffered years before in a car accident, Janson used Blender to transform her clinical brain scans into a 3D representation of her brain and the neurostimulation process. Then, he used a virtual “camera” within Blender to capture the 2D rendering you see here. Janson plans to use such imagery, along with other patient-specific modeling and bioelectric fields simulations, to develop a virtual brain stimulation surgery to predict the activation of specific fiber pathways, depending upon lead location and stimulation settings.
DBS has been used for many years to relieve motor symptoms of certain movement disorders, including Parkinson’s disease and essential tremor. More recent experimental applications include this one for traumatic brain injury, and others for depression, addiction, Alzheimer’s disease, and chronic pain. As the BRAIN Initiative continues to map out the brain’s complex workings in unprecedented detail, it will be exciting to see how such information can lead to even more effective applications of to DBS to help people living with a wide range of neurological conditions.
Links:
Deep Brain Stimulation for Movement Disorders (National Institute of Neurological Disorders and Stroke/NIH)
Video: Deep Brain Stimulation (University of Utah, Salt Lake City)
Deep Brain Stimulation for the Treatment of Parkinson’s Disease and Other Movement Disorders (NINDS/NIH)
Butson Lab (University of Utah)
Show Us Your Brain! (BRAIN Initiative/NIH)
Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative (NIH)
NIH Support: National Institute of Neurological Disorders and Stroke
Looking for Answers to Epilepsy in a Blood Test
Posted on by Dr. Francis Collins
Millions of people take medications each day for epilepsy, a diverse group of disorders characterized by seizures. But, for about a third of people with epilepsy, current drug treatments don’t work very well. What’s more, the medications are designed to treat symptoms of these disorders, basically by suppressing seizure activity. The medications don’t really change the underlying causes, which are wired deep within the brain.
Gemma Carvill, a researcher at Northwestern University Feinberg School of Medicine, Chicago, wants to help change that in the years ahead. She’s dedicated her research career to discovering the genetic causes of epilepsy in hopes of one day designing treatments that can control or even cure some forms of the disorder [1].
It certainly won’t be easy. A recent paper put the number of known genes associated with epilepsy at close to 1,000 [2]. However, because some disease-causing genetic variants may arise during development, and therefore occur only within the brain, it’s possible that additional genetic causes of epilepsy are still waiting to be discovered within the billions of cells and their trillions of interconnections.
To find these new leads, Carvill won’t have to rely only on biopsies of brain tissue. She’s received a 2018 NIH Director’s New Innovator Award in search of answers hidden within “liquid biopsies”—tiny fragments of DNA that research in other forms of brain injury and neurological disease [3] suggests may spill into the bloodstream and cerebrospinal fluid (CSF) from dying neurons or other brain cells following a seizure.
Carvill and team will start with mouse models of epilepsy to test whether it’s possible to detect DNA fragments from the brain in bodily fluids after a seizure. They’ll also attempt to show DNA fragments carry telltale signatures indicating from which cells and tissues in the brain those molecules originate. The hope is these initial studies will also tell them the best time after a seizure to collect blood samples.
In people, Carvill’s team will collect the DNA fragments and begin searching for genetic alterations to explain the seizures, capitalizing on Carvill’s considerable expertise in the use of next generation DNA sequencing technology for ferreting out disease-causing variants. Importantly, if this innovative work in epilepsy pans out, it also can be applied to any other neurological condition in which DNA spills from dying brain cells, including Alzheimer’s disease and Parkinson’s disease.
References:
[1] Unravelling the genetic architecture of autosomal recessive epilepsy in the genomic era. Calhoun JD, Carvill GL. J Neurogenet. 2018 Sep 24:1-18.
[2] Epilepsy-associated genes. Wang J, Lin ZJ, Liu L, Xu HQ, Shi YW, Yi YH, He N, Liao WP. Seizure. 2017 Jan;44:11-20.
[3] Identification of tissue-specific cell death using methylation patterns of circulating DNA. Lehmann-Werman R, Neiman D, Zemmour H, Moss J, Magenheim J, Vaknin-Dembinsky A, Rubertsson S, Nellgård B, Blennow K, Zetterberg H, Spalding K, Haller MJ, Wasserfall CH, Schatz DA, Greenbaum CJ, Dorrell C, Grompe M, Zick A, Hubert A, Maoz M, Fendrich V, Bartsch DK, Golan T, Ben Sasson SA, Zamir G, Razin A, Cedar H, Shapiro AM, Glaser B, Shemer R, Dor Y. Proc Natl Acad Sci U S A. 2016 Mar 29;113(13):E1826-34.
Links:
Epilepsy Information Page (National Institute of Neurological Disorders and Stroke/NIH)
Gemma Carvill Lab (Northwestern University Feinberg School of Medicine, Chicago)
Carvill Project Information (NIH RePORTER)
NIH Director’s New Innovator Award (Common Fund)
NIH Support: Common Fund; National Institute of Neurological Disorders and Stroke
Largest-Ever Alzheimer’s Gene Study Brings New Answers
Posted on by Dr. Francis Collins
Predicting whether someone will get Alzheimer’s disease (AD) late in life, and how to use that information for prevention, has been an intense focus of biomedical research. The goal of this work is to learn not only about the genes involved in AD, but how they work together and with other complex biological, environmental, and lifestyle factors to drive this devastating neurological disease.
It’s good news to be able to report that an international team of researchers, partly funded by NIH, has made more progress in explaining the genetic component of AD. Their analysis, involving data from more than 35,000 individuals with late-onset AD, has identified variants in five new genes that put people at greater risk of AD [1]. It also points to molecular pathways involved in AD as possible avenues for prevention, and offers further confirmation of 20 other genes that had been implicated previously in AD.
The results of this largest-ever genomic study of AD suggests key roles for genes involved in the processing of beta-amyloid peptides, which form plaques in the brain recognized as an important early indicator of AD. They also offer the first evidence for a genetic link to proteins that bind tau, the protein responsible for telltale tangles in the AD brain that track closely with a person’s cognitive decline.
The new findings are the latest from the International Genomics of Alzheimer’s Project (IGAP) consortium, led by a large, collaborative team including Brian Kunkle and Margaret Pericak-Vance, University of Miami Miller School of Medicine, Miami, FL. The effort, spanning four consortia focused on AD in the United States and Europe, was launched in 2011 with the aim of discovering and mapping all the genes that contribute to AD.
An earlier IGAP study including about 25,500 people with late-onset AD identified 20 common gene variants that influence a person’s risk for developing AD late in life [2]. While that was terrific progress to be sure, the analysis also showed that those gene variants could explain only a third of the genetic component of AD. It was clear more genes with ties to AD were yet to be found.
So, in the study reported in Nature Genetics, the researchers expanded the search. While so-called genome-wide association studies (GWAS) are generally useful in identifying gene variants that turn up often in association with particular diseases or other traits, the ones that arise more rarely require much larger sample sizes to find.
To increase their odds of finding additional variants, the researchers analyzed genomic data for more than 94,000 individuals, including more than 35,000 with a diagnosis of late-onset AD and another 60,000 older people without AD. Their search led them to variants in five additional genes, named IQCK, ACE, ADAM10, ADAMTS1, and WWOX, associated with late-onset AD that hadn’t turned up in the previous study.
Further analysis of those genes supports a view of AD in which groups of genes work together to influence risk and disease progression. In addition to some genes influencing the processing of beta-amyloid peptides and accumulation of tau proteins, others appear to contribute to AD via certain aspects of the immune system and lipid metabolism.
Each of these newly discovered variants contributes only a small amount of increased risk, and therefore probably have limited value in predicting an average person’s risk of developing AD later in life. But they are invaluable when it comes to advancing our understanding of AD’s biological underpinnings and pointing the way to potentially new treatment approaches. For instance, these new data highlight intriguing similarities between early-onset and late-onset AD, suggesting that treatments developed for people with the early-onset form also might prove beneficial for people with the more common late-onset disease.
It’s worth noting that the new findings continue to suggest that the search is not yet over—many more as-yet undiscovered rare variants likely play a role in AD. The search for answers to AD and so many other complex health conditions—assisted through collaborative data sharing efforts such as this one—continues at an accelerating pace.
References:
[1] Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Kunkle BW, Grenier-Boley B, Sims R, Bis JC, et. al. Nat Genet. 2019 Mar;51(3):414-430.
[2] Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease. Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, DeStafano AL, Bis JC, et al. Nat Genet. 2013 Dec;45(12):1452-8.
Links:
Alzheimer’s Disease Genetics Fact Sheet (National Institute on Aging/NIH)
Genome-Wide Association Studies (NIH)
Margaret Pericak-Vance (University of Miami Health System, FL)
NIH Support: National Institute on Aging; National Heart, Lung, and Blood Institute; National Human Genome Research Institute; National Institute of Allergy and Infectious Diseases; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Disease; National Institute of Neurological Disorders and Stroke
Sleep Loss Encourages Spread of Toxic Alzheimer’s Protein
Posted on by Dr. Francis Collins
In addition to memory loss and confusion, many people with Alzheimer’s disease have trouble sleeping. Now an NIH-funded team of researchers has evidence that the reverse is also true: a chronic lack of sleep may worsen the disease and its associated memory loss.
The new findings center on a protein called tau, which accumulates in abnormal tangles in the brains of people with Alzheimer’s disease. In the healthy brain, active neurons naturally release some tau during waking hours, but it normally gets cleared away during sleep. Essentially, your brain has a system for taking the garbage out while you’re off in dreamland.
The latest findings in studies of mice and people further suggest that sleep deprivation upsets this balance, allowing more tau to be released, accumulate, and spread in toxic tangles within brain areas important for memory. While more study is needed, the findings suggest that regular and substantial sleep may play an unexpectedly important role in helping to delay or slow down Alzheimer’s disease.
It’s long been recognized that Alzheimer’s disease is associated with the gradual accumulation of beta-amyloid peptides and tau proteins, which form plaques and tangles that are considered hallmarks of the disease. It has only more recently become clear that, while beta-amyloid is an early sign of the disease, tau deposits track more closely with disease progression and a person’s cognitive decline.
Such findings have raised hopes among researchers including David Holtzman, Washington University School of Medicine, St. Louis, that tau-targeting treatments might slow this devastating disease. Though much of the hope has focused on developing the right drugs, some has also focused on sleep and its nightly ability to reset the brain’s metabolic harmony.
In the new study published in Science, Holtzman’s team set out to explore whether tau levels in the brain naturally are tied to the sleep-wake cycle [1]. Earlier studies had shown that tau is released in small amounts by active neurons. But when neurons are chronically activated, more tau gets released. So, do tau levels rise when we’re awake and fall during slumber?
The Holtzman team found that they do. The researchers measured tau levels in brain fluid collected from mice during their normal waking and sleeping hours. (Since mice are nocturnal, they sleep primarily during the day.) The researchers found that tau levels in brain fluid nearly double when the animals are awake. They also found that sleep deprivation caused tau levels in brain fluid to double yet again.
These findings were especially interesting because Holtzman’s team had already made a related finding in people. The team found that healthy adults forced to pull an all-nighter had a 30 percent increase on average in levels of unhealthy beta-amyloid in their cerebrospinal fluid (CSF).
The researchers went back and reanalyzed those same human samples for tau. Sure enough, the tau levels were elevated on average by about 50 percent.
Once tau begins to accumulate in brain tissue, the protein can spread from one brain area to the next along neural connections. So, Holtzman’s team wondered whether a lack of sleep over longer periods also might encourage tau to spread.
To find out, mice engineered to produce human tau fibrils in their brains were made to stay up longer than usual and get less quality sleep over several weeks. Those studies showed that, while less sleep didn’t change the original deposition of tau in the brain, it did lead to a significant increase in tau’s spread. Intriguingly, tau tangles in the animals appeared in the same brain areas affected in people with Alzheimer’s disease.
Another report by Holtzman’s team appearing early last month in Science Translational Medicine found yet another link between tau and poor sleep. That study showed that older people who had more tau tangles in their brains by PET scanning had less slow-wave, deep sleep [2].
Together, these new findings suggest that Alzheimer’s disease and sleep loss are even more intimately intertwined than had been realized. The findings suggest that good sleep habits and/or treatments designed to encourage plenty of high quality Zzzz’s might play an important role in slowing Alzheimer’s disease. On the other hand, poor sleep also might worsen the condition and serve as an early warning sign of Alzheimer’s.
For now, the findings come as an important reminder that all of us should do our best to get a good night’s rest on a regular basis. Sleep deprivation really isn’t a good way to deal with overly busy lives (I’m talking to myself here). It isn’t yet clear if better sleep habits will prevent or delay Alzheimer’s disease, but it surely can’t hurt.
References:
[1] The sleep-wake cycle regulates brain interstitial fluid tau in mice and CSF tau in humans. Holth JK, Fritschi SK, Wang C, Pedersen NP, Cirrito JR, Mahan TE, Finn MB, Manis M, Geerling JC, Fuller PM, Lucey BP, Holtzman DM. Science. 2019 Jan 24.
[2] Reduced non-rapid eye movement sleep is associated with tau pathology in early Alzheimer’s disease. Lucey BP, McCullough A, Landsness EC, Toedebusch CD, McLeland JS, Zaza AM, Fagan AM, McCue L, Xiong C, Morris JC, Benzinger TLS, Holtzman DM. Sci Transl Med. 2019 Jan 9;11(474).
Links:
Alzheimer’s Disease and Related Dementias (National Institute on Aging/NIH)
Accelerating Medicines Partnership: Alzheimer’s Disease (NIH)
Holtzman Lab (Washington University School of Medicine, St. Louis)
NIH Support: National Institute on Aging; National Institute of Neurological Disorders and Stroke; National Center for Advancing Translational Sciences; National Cancer Institute; National Institute of Biomedical Imaging and Bioengineering
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