Studies presented at the Alzheimer’s Association International Conference point to the p-tau217 protein as an especially useful biomarker
Researchers disclosed a potentially useful biomarker for Alzheimer’s Disease at a major conference this summer. The good news for clinical laboratories is that the biomarker is found in blood. If further research confirms these early findings, medical laboratories could one day have a diagnostic test for this condition.
That possibility emerged from the Alzheimer’s Association International Conference (AAIC), which was held online July 27-31. Researchers presented findings from multiple studies that suggested blood/plasma levels of a protein known as phospho-tau217 (p-tau217) can indicate brain anomalies associated with Alzheimer’s.“Changes in brain proteins amyloid and tau, and their formation into clumps known as plaques and tangles, respectively, are defining physical features of Alzheimer’s disease in the brain,” states an AAIC press release. “Buildup of tau tangles is thought to correlate closely with cognitive decline. In these newly reported results, blood/plasma levels of p-tau217, one of the forms of tau found in tangles, also seem to correlate closely with buildup of amyloid.”
At present, “there is no single diagnostic test that can determine if a person has Alzheimer’s disease,” the association states on its website. Clinicians will typically review a patient’s medical history and conduct tests to evaluate memory and other everyday thinking skills. That may help determine that an individual has dementia, but not necessarily that Alzheimer’s is the cause.
“Currently, the brain changes that occur before Alzheimer’s dementia symptoms appear can only be reliably assessed by positron-emission tomography (PET) scans, and from measuring amyloid and tau proteins in [cerebrospinal] fluid (CSF),” the association states. “These methods are expensive and invasive. And, too often, they are unavailable because they are not covered by insurance or difficult to access, or both.”
In the AAIC press release, Alzheimer’s Association Chief Science Officer Maria C. Carrillo, PhD, said that a clinical laboratory blood test “would fill an urgent need for simple, inexpensive, non-invasive and easily available diagnostic tools for Alzheimer’s.
“New testing technologies could also support drug development in many ways,” she added. “For example, by helping identify the right people for clinical trials, and by tracking the impact of therapies being tested. The possibility of early detection and being able to intervene with a treatment before significant damage to the brain from Alzheimer’s disease would be game changing for individuals, families, and our healthcare system.”
However, she cautioned, “these are early results, and we do not yet know how long it will be until these tests are available for clinical use. They need to be tested in long-term, large-scale studies, such as Alzheimer’s clinical trials.”
The study, led by Oskar Hansson, MD, of Lund University in Sweden, included 1,402 participants. About half of these were enrolled in BioFINDER-2, an ongoing dementia study in Sweden. In this group, researchers were most interested in the test’s ability to distinguish Alzheimer’s from other neurodegenerative disorders that cause dementia.
Diagnostic accuracy was between 89% and 98%, the researchers reported, which was similar to the performance of PET imaging and CSF tests. P-tau217 was more accurate than magnetic resonance imaging (MRI) as well as other biomarkers, such as p-tau181.
“Today the majority of individuals with Alzheimer’s disease around the world do not get a timely diagnosis, which results in suboptimal symptomatic treatment and care,” Oskar Hansson, MD, said in an Eli Lilly news release. “With rising prevalence of Alzheimer’s disease, more patients will be evaluated in primary care and other clinics where CSF and PET biomarkers are not available. Blood-based biomarkers, like plasma p-tau217, together with digital tools for checking memory performance, such as smartphone-based apps, can considerably improve the diagnostic work-up of Alzheimer’s disease patients in such clinics.” (Photo copyright: Alzheimer’s Fund.)
Another cohort consisted of 81 participants in the Brain and Body Donation Program at Banner Sun Health Research Institute in Sun City, Ariz. In this program, elderly volunteers submit to periodic clinical assessments and agree to donate their organs and tissue for study after they die.
Here, the researchers’ primary goal was to determine the test’s ability to distinguish between individuals with and without Alzheimer’s. Researchers ran the p-tau217 test on plasma samples collected within 2.9 years of death and compared the results to postmortem examinations of the brain tissue. Accuracy was 89% in individuals with amyloid plaques and tangles, and 98% in individuals with plaques and more extensive tangles.
The third cohort consisted of 622 members of a large extended family in Colombia whose members share a genetic mutation that makes them susceptible to early-onset Alzheimer’s, The New York Times reported. Among the members, 365 were carriers of the mutation. In this group, levels of plasma p-tau217 increased by age, and “a significant difference from noncarriers was seen at age 24.9 years,” the researchers wrote in Jama Network. That’s about 20 years before the median age when mild cognitive impairment typically begins to appear in carriers.
Other Alzheimer Biomarker Studies Presented at AAIC
Suzanne Schindler, MD, PhD, a neurologist and instructor in the Department of Neurology at the Washington University School of Medicine (WUSM) in St. Louis, presented results of an Alzheimer’s Disease (AD) study that used mass spectrometry to analyze amyloid and p-tau variants in blood samples collected from participants. The researchers compared these with CSF and PET results and found that some of the of p-tau isoforms, especially p-tau217, had a strong concordance.
“These findings indicate that blood plasma Aβ and p-tau measures are highly precise biomarkers of brain amyloidosis, tauopathy, and can identify stages of clinical and preclinical AD,” stated an AAIC press release on the studies.
The WUSM researches launched the effort to develop and validate Alzheimer’s blood biomarkers called the Study to Evaluate Amyloid in Blood and Imaging Related to Dementia (SEABIRD) in April 2019. It runs through August 2023 and will seek to enroll more than 1,100 participants in the St. Louis area.
Another study presented at the conference compared the performance of p-tau217 and p-tau181 in distinguishing between Alzheimer’s and Frontotemporal Lobar Degeneration (FTLD), another condition that causes dementia. Study author Elisabeth Thijssen, MSc, of the UC San Francisco Memory and Aging Center reported that both biomarkers could be useful in differential diagnosis, but that p-tau217 was “potentially superior” for predicting a tau positive PET scan result.
For decades, physicians have wanted a diagnostic test for Alzheimer’s Disease that could identify this condition early in its development. This would allow the patient and the family to make important decisions before the onset of severe symptoms. Such a clinical laboratory test would be ordered frequently and thus would be a new source of revenue for medical laboratories.
Scientists worldwide engaged in research to develop a biomarker for dementia are predicting success, though some say additional research will be needed
Could a blood test for Alzheimer’s disease soon be on clinical laboratory test menus nationwide? Perhaps so. A recent Associated Press (AP) article that was picked up by NBC News and other healthcare publications reported that experimental test results presented during the Alzheimer’s Association International Conference (AAIC) in July suggest the Holy Grail of dementia tests—one where the specimen can be collected in a doctor’s office during a routine screening exam—may be close at hand.
The AP story noted that “half a dozen research groups gave new results on various experimental tests, including one that seems 88% accurate at indicating Alzheimer’s risk.” And Richard Hodes, MD, Director of the National Institute on Aging, told AP, “In the past year, we’ve seen a dramatic acceleration in progress [on Alzheimer’s tests]. This has happened at a pace that is far faster than any of us would have expected.”
This could be a boon for medical laboratories seeking way to contribute more value to patient care. Especially among Alzheimer’s patients, who account for as many as 70% of all dementia cases.
Plasma Biomarker for Predicting Alzheimer’s
One of the experimental blood tests presented at the AAIC involved a 2018 study into “the potential clinical utility of plasma biomarkers in predicting brain amyloid-β burden at an individual level. These plasma biomarkers also have cost-benefit and scalability advantages over current techniques, potentially enabling broader clinical access and efficient population screening,” the researchers stated an article they published in Nature.
AP also reported that Japanese scientists at the AAIC
presented results of a validation test conducted on 201 people who had either
Alzheimer’s, other types of dementia, or little or no symptoms. They found that
the test “correctly identified 92% of people who had Alzheimer’s and correctly
ruled out 85% who did not have it, for an overall accuracy of 88%.”
Akinori Nakamura, MD, PhD, of the National Center for
Geriatrics and Gerontology in Obu, Japan, was a member of the research team and
first author of the research paper. He told the AP that the test results “closely
matched those from the top tests used now—three types of brain scans and a
mental assessment exam.”
Eric McDade, DO (above), Associate Professor of Neurology at Washington University in St. Louis, told Neurology Today, “The results reported here provide a relatively high level of confidence given that this is a relatively well characterized population with an amyloid PET scan to provide confirmation of a significant level of amyloid plaque burden in the brain.” Could this level of physician confidence lead to a clinical laboratory test based on the plasma biomarker? (Photo copyright: Washington University.)
Koichi Tanaka is a Japanese engineer who won the Nobel prize winner for chemistry. He heads the Koichi Tanaka Research Lab at Shimadzu Corp. (OTCMKTS:SHMZF) in Kyoto, Japan, and was on the team that developed the Amyloid beta biomarker test that was presented at AAIC. He told Bloomberg, “Our finding overturned the common belief that it wouldn’t be possible to estimate amyloid accumulation in the brain from blood. We’re now being chased by others, and the competition is intensifying.”
But Tanaka cautions that the test needs further study before
it is ready for clinical use, and that for now “it belongs in the hands of drug
developers and research laboratories,” Bloomberg reported.
Other Studies into Developing an Alzheimer’s Biomarker
Alzheimer’s is usually diagnosed after symptoms appear, such
as memory loss. To arrive at their diagnoses, doctors often rely on medical
history, brain imaging (MRI, CT), PET, and measurement of amyloid in spinal
fluid.
An article published on Alzforum, a website and news service dedicated to the research and treatment for Alzheimer’s and other related disorders, noted a study by King’s College London researchers who, using mass spectrometry, “found a panel of biomarkers that predicted with almost 90% accuracy whether cognitively normal people had a positive amyloid scan.”
Nicholas Ashton, PhD, neuroscientist and Wallenberg Postdoctoral Fellow at University of Gothenburg in Sweden, and first author of the King’s College study, explained that “Amyloid-burden and neurofilament light polypeptide (NFL) peptides were important in predicting Alzheimer’s, but alone they weren’t as predictable as when we combined them with novel proteins related to amyloid PET.”
The researchers published their study earlier this year in Science Advances. “Using an unbiased mass spectrometry approach, we have found and replicated with high accuracy, specificity, and sensitivity a plasma protein classifier reflecting amyloid-beta burden in a cognitively unimpaired cohort,” the researchers wrote.
Meanwhile, researchers at Washington University School of Medicine St. Louis, along with the German Center for Neurodegenerative Diseases, a member of the Helmholtz Association, stated in a news release that a blood test they developed works by detecting leaks of NFL before the onset of symptoms. When the protein is found in cerebrospinal fluid, it could be a sign that Alzheimer’s may develop, as well as point to other neurodegenerative conditions such as multiple sclerosis, brain injury, or stroke, the researchers stated.
“This is something that would be easy to incorporate into a screening test in a neurology clinic,” Brian Gordon, PhD, Assistant Professor of Radiology at Washington University’s Mallinckrodt Institute of Radiology, and an author of the study, stated in the news release.
These parallel studies into screening for Alzheimer’s by
researchers worldwide are intriguing. The favorable results suggest that
someday there may be a screen for Alzheimer’s using a clinical laboratory blood
test.
With Alzheimer’s affecting nearly six million Americans of all ages, such an assay would enable clinical laboratories to help many people.
Should greater attention be given to protein damage in chronic diseases such as Alzheimer’s and diabetes? One life scientist says “yes” and suggests changing how test developers view the cause of age-related and degenerative diseases
DNA and the human genome get plenty of media attention and are considered by many to be unlocking the secrets to health and long life. However, as clinical laboratory professionals know, DNA is just one component of the very complex organism that is a human being.
In fact, DNA, RNA, and proteins are all valid biomarkers for medical laboratory tests and, according to one life scientist, all three should get equal attention as to their role in curing disease and keeping people healthy.
Along with proteins and RNA, DNA is actually an “equal partner in the circle of life,” wrote David Grainger, PhD, CEO of Methuselah Health, in a Forbes opinion piece about what he calls the “cult of DNA-centricity” and its relative limitations.
Effects of Protein Damage
“Aging and age-related degenerative diseases are caused by protein damage rather than by DNA damage,” explained Grainger, a Life Scientist who studies the role proteins play in aging and disease. “DNA, like data, cannot by itself do anything. The data on your computer is powerless without apps to interpret it, screens and speakers to communicate it, keyboards and touchscreens to interact with it.”
“Similarly,” he continued, “the DNA sequence information (although it resides in a physical object—the DNA molecule—just as computer data resides on a hard disk) is powerless and ethereal until it is translated into proteins that can perform functions,” he points out.
According to Grainger, diseases such as cystic fibrosis and Duchenne Muscular Dystrophy may be associated with genetic mutation. However, other diseases take a different course and are more likely to develop due to protein damage, which he contends may strengthen in time, causing changes in cells or tissues and, eventually, age-related diseases.
“Alzheimer’s disease, diabetes, or autoimmunity often take decades to develop (even though your genome sequence has been the same since the day you were conceived); the insidious accumulation of the damaged protein may be very slow indeed,” he penned.
“But so strong is the cult of DNA-centricity that most scientists seem unwilling to challenge the fundamental assumption that the cause of late-onset diseases must lie somewhere in the genome,” Grainger concludes.
Shifting Focus from Genetics to Proteins
Besides being CEO of Methuselah Health, Grainger also is Co-Founder and Chief Scientific Advisor at Medicxi, a life sciences investment firm that backed Methuselah Health with $5 million in venture capital funding for research into disease treatments that focus on proteins in aging, reported Fierce CEO.
Methuselah Health, founded in 2015 in Cambridge, UK, with offices in the US, is reportedly using post-translational modifications for analysis of many different proteins.
“At Methuselah Health, we have shifted focus from the genetics—which tells you in an ideal world how your body would function—to the now: this is how your body functions now and this is what is going wrong with it. And that answer lies in the proteins,” stated Dr. David Grainger (above), CEO of Methuselah Health, in an interview with the UK’s New NHS Alliance. Click on this link to watch the full interview. [Photo and caption copyright: New NHS Alliance.]
How Does it Work?
This is how Methuselah Health analyzes damaged proteins using mass spectrometry, according to David Mosedale, PhD, Methuselah Health’s Chief Technology Officer, in the New NHS Alliance story:
Protein samples from healthy individuals and people with diseases are used;
Proteins from the samples are sliced into protein blocks and fed slowly into a mass spectrometer, which accurately weighs them;
Scientists observe damage to individual blocks of proteins;
Taking those blocks, proteins are reconstructed to ascertain which proteins have been damaged;
Information is leveraged for discovery of drugs to target diseases.
Mass spectrometry is a powerful approach to protein sample identification, according to News-Medical.Net. It enables analysis of protein specificity and background contaminants. Interactions among proteins—with RNA or DNA—also are possible with mass spectrometry.
Methuselah Health’s scientists are particularly interested in the damaged proteins that have been around a while, which they call hyper-stable danger variants (HSDVs) and consider to be the foundation for development of age-related diseases, Grainger told WuXi AppTec.
“By applying the Methuselah platform, we can see the HSDVs and so understand which pathways we need to target to prevent disease,” he explained.
For clinical laboratories, pathologists, and their patients, work by Methuselah Health could accelerate the development of personalized medicine treatments for debilitating chronic diseases. Furthermore, it may compel more people to think of DNA as one of several components interacting that make up human bodies and not as the only game in diagnostics.
Access to vast banks of genomic data is powering a new wave of assessments and predictions that could offer a glimpse at how genetic variation might impact everything from Alzheimer’s Disease risk to IQ scores
Anatomic pathology groups and clinical laboratories have become accustomed to performing genetic tests for diagnosing specific chronic diseases in humans. Thanks to significantly lower costs over just a few years ago, whole-genome sequencing and genetic DNA testing are on the path to becoming almost commonplace in America. BRCA 1 and BRCA 2 breast cancer gene screenings are examples of specific genetic testing for specific diseases.
However, a much broader type of testing—called polygenic scoring—has been used to identify certain hereditary traits in animals and plants for years. Also known as a genetic-risk score or a genome-wide score, polygenic scoring is based on thousands of genes, rather than just one.
Now, researchers in Cambridge, Mass., are looking into whether it can be used in humans to predict a person’s predisposition to a range of chronic diseases. This is yet another example of how relatively inexpensive genetic tests are producing data that can be used to identify and predict how individuals get different diseases.
Assessing Heart Disease Risk through Genome-Wide Analysis
Sekar Kathiresan, MD, Co-Director of the Medical and Population Genetics program at Broad Institute of MIT/Harvard and Director of the Center for Genomics Medicine at Massachusetts General Hospital (Mass General); and Amit Khera, MD, Cardiology Fellow at Mass General, told MIT Technology Review “the new scores can now identify as much risk for disease as the rare genetic flaws that have preoccupied physicians until now.”
“Where I see this going is that, at a young age, you’ll basically get a report card,” Khera noted. “And it will say for these 10 diseases, here’s your score. You are in the 90th percentile for heart disease, 50th for breast cancer, and the lowest 10% for diabetes.”
However, as the MIT Technology Review article points out, predictive genetic testing, such as that under development by Khera and Kathiresan, can be performed at any age.
“If you line up a bunch of 18-year-olds, none of them have high cholesterol, none of them have diabetes. It’s a zero in all the columns, and you can’t stratify them by who is most at risk,” Khera noted. “But with a $100 test we can get stratification [at the age of 18] at least as good as when someone is 50, and for a lot of diseases.”
Sekar Kathiresan, MD (left), Co-Director of the Medical and Population Genetics program at Broad Institute at MIT/Harvard and Director of the Center for Genomics Medicine at Massachusetts General Hospital; and Amit Khera, MD (right), Cardiology Fellow at Mass General, are researching ways polygenic scores can be used to predict the chance a patient will be prone to develop specific chronic diseases. Anatomic pathology biomarkers and new clinical laboratory performed genetic tests will likely follow if their research is successful. (Photo copyrights: Twitter.)
Polygenic Scores Show Promise for Cancer Risk Assessment
“It was also striking how results from population-based studies were reproduced using data from electronic health records, a database not ideally designed for specific research questions and [which] is certainly not a population-based sample,” she continued.
The UCSD study highlights one of the unique benefits of polygenic scores. A person’s DNA is established in utero. However, predicting predisposition to specific chronic diseases prior to the onset of symptoms has been a major challenge to developing diagnostics and treatments. Should polygenic risk scores prove accurate, they could provide physicians with a list of their patients’ health risks well in advance, providing greater opportunity for early intervention.
Future Applications of Polygenic Risk Scores
In the January issue of the British Medical Journal (BMJ), researchers from UCSD outlined their development of a polygenic assessment tool to predict the age-of-onset of aggressive prostate cancer. As Dark Daily recently reported, for the first time in the UK, prostate cancer has surpassed breast cancer in numbers of deaths annually and nearly 40% of prostate cancer diagnoses occur in stages three and four. (See, “UK Study Finds Late Diagnosis of Prostate Cancer a Worrisome Trend for UK’s National Health Service,” May 23, 2018.)
An alternative to PSA-based testing, and the ability to differentiate aggressive and non-aggressive prostate cancer types, could improve outcomes and provide healthcare systems with better treatment options to reverse these trends.
While the value of polygenic scores should increase as algorithms and results are honed and verified, they also will most likely add to concerns raised about the impact genetic test results are having on patients, physicians, and genetic counselors.
And, as the genetic testing technology of personalized medicine matures, clinical laboratories will increasingly be required to protect and distribute much of the protected health information (PHI) they generate.
Nevertheless, when the data produced is analyzed and combined with other information—such as anatomic pathology testing results, personal/family health histories, and population health data—polygenic scores could isolate new biomarkers for research and offer big-picture insights into the causes of and potential treatments for a broad spectrum of chronic diseases.
New scientific insights from these studies represent progress in the effort to develop a clinical laboratory test that would enable physicians to diagnose Alzheimer’s Disease earlier and with greater accuracy
Most medical laboratory professionals are aware that, for more than 30 years, in vitro diagnostic (IVD) developers and pharmaceutical researchers have sought the Holy Grail of clinical laboratory testing—an accurate test for Alzheimer’s disease that is minimally-invasive and produces information that is actionable by clinicians at a reasonable cost. Such a test could spark a revolution in the diagnosis and treatment of this debilitating disease and would improve the lives of tens of thousands of people each year.
Now, two different research studies being conducted in Germany and Japan may have developed such tests that use blood samples. The tests detect specific biomarkers found in Alzheimer’s patients and one day could enable physicians to diagnose the disease in its preclinical stages.
A healthy brain has amyloid-beta plaques, too. However, in a person with Alzheimer’s disease, the amyloid-beta is misfolded, formed like a sheet, and toxic to nerve cells, the researchers explained in a press release.
The test works with small amounts of blood plasma and employs an immuno-infrared-sensor, also developed at Ruhr University. The sensor measures the amounts of both pathological (the misfolded kind) and healthy amyloid-beta in the blood.
Amyloid plaques can start to form decades prior to the onset of Alzheimer’s symptoms, making them identifiable biomarkers that can be used as a “preselection funnel in two‐step diagnostics,” the researchers noted.
“The use of the immuno‐infrared‐sensor as an initial screening funnel to identify people who should undergo further diagnostics and eventually take part in clinical trials on therapeutics targeting Aβ misfolding might already be an important step forward because subjects with early AD stages are hard to identify,” the researchers note. “To our knowledge, there is today no other plasma test available, which has been tested both in an AD research cohort and in the general population.”
Klaus Gerwert, PhD, (left)Chair of Biophysics at Ruhr University in Bochum, Germany, and Dr. Katsuhiko Yanagisawa, PhD, (right) molecular biologist and Director of the Center for Development of Advanced Medicine for Dementia in Obu City, Japan, both lead research teams that developed tests for identifying amyloid-β biomarkers in early onset Alzheimer’s patients. More research must be conducted before these assays could be offered by clinical laboratories. (Photo copyrights: International Max Planck Research School in Chemical and Molecular Biology/Nagoya University School of Medicine.)
Another Blood Test Finds Amyloid-Beta
Interestingly, just a few months ahead of the German researchers’ paper, scientists at the Center for Development of Advanced Medicine for Dementia (CAMD) in Obu City, Japan, published their own paper on a similar blood test they developed that also identifies high levels of amyloid-beta in patients with Alzheimer’s.
The study, which was published in Nature, involved 373 people: 121 Japanese in the discovery cohort set and 252 Australians in the validation data set. The test found amyloid-beta levels in the brain with 90% accuracy, The Scientist reported.
“These results demonstrate the potential clinical utility of plasma biomarkers in predicting brain amyloid-β burden at an individual level. These plasma biomarkers also have cost-benefit and scalability advantages over current techniques, potentially enabling broader clinical access and efficient population screening,” the researchers wrote in their paper.
Nevertheless, as of 2018, Alzheimer’s disease has impacted the lives of approximately 5.7 million Americans of all ages, according to the Alzheimer’s Association. And yet, doctors currently only have expensive positron emission tomography (PET) brain scans and invasive cerebrospinal fluid (CSF) analysis to identify the disease, generally in the latter stages of its development.
Thus, a less invasive, inexpensive test that accurately identifies biomarkers found in the majority of people during the early stages of the disease would be a boon to physicians who treat chronic neurodegenerative disease, medical laboratories that perform the tests, and, of course, the thousands of people each year who are diagnosed and suffer with this debilitating condition.
