New non-invasive test could replace traditional painful spinal taps and clinical laboratory fluid analysis for diagnosis of Parkinson’s disease
Scientists at AXIM Biotechnologies of San Diego have added another specimen that can be collected non-invasively for rapid, point-of-care clinical laboratory testing. This time it is tears, and the diagnostic test is for Parkinson’s disease (PD).
The new assay measures abnormal alpha-synuclein (a-synuclein), a protein that is a biomarker for Parkinson’s, according to an AXIM news release which also said the test is the first rapid test for PD.
“The revolutionary nature of AXIM’s new test is that it is non-invasive, inexpensive, and it can be performed at a point of care. It does not require a lumbar puncture, freezing, or sending samples to a lab. AXIM’s assay uses a tiny tear drop versus a spinal tap to collect the fluid sample and the test can be run at a doctor’s office with quantitative results delivered from a reader in less than 10 minutes,” the news release notes.
“Furthermore, emerging evidence shows that a-synuclein assays have the potential to differentiate people with PD from healthy controls, enabling the potential for early identification of at-risk groups,” the news release continues. “These findings suggest a crucial role for a-synuclein in therapeutic development, both in identifying pathologically defined subgroups of people with Parkinson’s disease and establishing biomarker-defined at-risk cohorts.”
This is just the latest example of a disease biomarker that can be collected noninvasively. Other such biomarkers Dark Daily has covered include:
“With this new assay, AXIM has immediately become a stakeholder in the Parkinson’s disease community, and through this breakthrough, we are making possible new paradigms for better clinical care, including earlier screening and diagnosis, targeted treatments, and faster, cheaper drug development,” said John Huemoeller, CEO, AXIM (above), in a news release. Patients benefit from non-invasive clinical laboratory testing. (Photo copyright: AXIM Biotechnologies.)
Fast POC Test versus Schirmer Strip
AXIM said it moved forward with its novel a-synuclein test propelled by earlier tear-related research that found “a-synuclein in its aggregated form can be detected in tears,” Inside Precision Medicine reported.
But that research used what AXIM called the “outdated” Schirmer Strip method to collect tears. The technique involves freezing tear samples at -80 degrees Celsius (-112 Fahrenheit), then sending them to a clinical laboratory for centrifugation for 30 minutes; quantifying tear protein content with a bicinchoninic acid assay, and detecting a-synuclein using a plate reader, AXIM explained.
Alternatively, AXIM says its new test may be performed in doctors’ offices and offers “quantitative results delivered from a reader in less than 10 minutes.”
“Our proven expertise in developing tear-based diagnostic tests has led to the development of this test in record speed, and I’m extremely proud of our scientific team for their ability to expand our science to focus on such an important focus area as Parkinson’s,” said John Huemoeller, CEO, AXIM in the news release.
“This is just the beginning for AXIM in this arena,” he added. “But I am convinced when pharmaceutical companies, foundations, and neurologists see how our solution can better help diagnose Parkinson’s disease in such an expedited and affordable way, we will be at the forefront of PD research, enabling both researchers and clinicians a brand-new tool in the fight against PD.”
One of those tests was “a lateral flow diagnostic for point-of-care use that measures the level of lactoferrin proteins in tear fluid, which work to protect the surface of the eye. … Axim said that low lactoferrin levels have also been linked to Parkinson’s disease and that the assay can be used alongside its alpha-synuclein test,” Fierce Biotech noted.
“It made sense to try and look at the proteinaceous [consisting of or containing protein] constituents of tear fluid,” Lew told Neurology Live. “Tear fluid is easy to collect. It’s noninvasive, inexpensive. It’s not like when you do a lumbar puncture, which is a much more involved ordeal. There’s risk of contamination with blood (saliva is dirty) issues with blood and collection. [Tear fluid analysis] is much safer and less expensive to do.”
In Biomarkers in Medicine, Lew et al noted why tears make good biomarkers for Parkinson’s disease, including “the interconnections between the ocular [eye] surface system and neurons affected in Parkinson’s disease.”
The researchers also highlighted “recent data on the identification of tear biomarkers including oligomeric α-synuclein, associated with neuronal degeneration in PD, in tears of PD patients” and discussed “possible sources for its release into tears.”
Future Clinical Laboratory Testing for Parkinson’s
Parkinson’s disease is the second most common neurodegenerative disorder after Alzheimer’s. It affects nearly one million people in the US. About 1.2 million people may have it by 2030, according to the Parkinson’s Foundation.
Thus, an accurate, inexpensive, non-invasive diagnostic test that can be performed at the point of care, and which returns clinical laboratory test results in less than 10 minutes, will be a boon to physicians who treat PD patients worldwide.
Clinical laboratory managers and pathologists may want to follow AXIM’s future research to see when the diagnostic test may become available for clinical use.
Immunotherapy device could also enable clinical laboratories to receive in vivo biomarker data wirelessly
Researchers from Rice University in Houston and seven other states in the US are working on a new oncotherapy sense-and-respond implant that could dramatically improve cancer outcomes. Called Targeted Hybrid Oncotherapeutic Regulation (THOR), the technology is intended primarily for the delivery of therapeutic drugs by monitoring specific cancer biomarkers in vivo.
Through a $45 million federal grant from the Advanced Research Projects Agency for Health (ARPA-H), the researchers set out to develop an immunotherapy implantable device that monitors a patient’s cancer and adjusts antibody treatment dosages in real time in response to the biomarkers it measures.
It’s not a far stretch to envision future versions of the THOR platform also being used diagnostically to measure biomarker data and transmit it wirelessly to clinical laboratories and anatomic pathologists.
ARPH-A is a federal funding agency that was established in 2022 to support the development of high-impact research to drive biomedical and health breakthroughs. THOR is the second program to receive funding under its inaugural Open Broad Agency Announcement solicitation for research proposals.
“By integrating a self-regulated circuit, the THOR technology can adjust the dose of immunotherapy reagents based on a patient’s responses,” said Weiyi Peng, MD, PhD (above), Assistant Professor of Biology and Biochemistry at the University of Houston and co-principal investigator on the research, in a UH press release. “With this new feature, THOR is expected to achieve better efficacy and minimize immune-related toxicity. We hope this personalized immunotherapy will revolutionize treatments for patients with peritoneal cancers that affect the liver, lungs, and other organs.” If anatomic pathologists and clinical laboratories could receive biometric data from the THOR device, that would be a boon to cancer diagnostics. (Photo copyright: University of Houston.)
Antibody Therapy on Demand
Omid Veiseh, PhD, Associate Professor of Bioengineering at Rice University and principal investigator on the project, described the THOR device as a “living drug factory” inside the body. The device is a rod-like gadget that contains onboard electronics and a wireless rechargeable battery. It is three inches long and has a miniaturized bioreactor that contains human epithelial cells that have been engineered to produce immune modulating therapies.
“Instead of tethering patients to hospital beds, IV bags, and external monitors, we’ll use a minimally invasive procedure to implant a small device that continuously monitors their cancer and adjusts their immunotherapy dose in real time,” said Veiseh in a Rice University press release. “This kind of ‘closed-loop therapy’ has been used for managing diabetes, where you have a glucose monitor that continuously talks to an insulin pump.
But for cancer immunotherapy, it’s revolutionary.”
The team believes the THOR device will have the ability to monitor biomarkers and produce an antibody on demand that will trigger the immune system to fight cancer locally. They hope the sensor within THOR will be able to monitor biomarkers of toxicity for the purpose of fine-tuning therapies to a patient immediately in response to signals from a tumor.
“Today, cancer is treated a bit like a static disease, which it’s not,” Veiseh said. “Clinicians administer a therapy and then wait four to six weeks to do radiological measurements to see if the therapy is working. You lose quite a lot of time if it’s not the right therapy. The tumor may have evolved into a more aggressive form.”
The THOR device lasts 60 days and can be removed after that time. It is designed to educate the immune system to recognize a cancer and prevent it from recurring. If the cancer is not fully eradicated after the first implantation, the patient can be implanted with THOR again.
Use of AI in THOR Therapy
The researchers plan to spend the next two and a half years building prototypes of the THOR device, testing them in rodents, and refining the list of biomarkers to be utilized in the device. Then, they intend to take an additional year to establish protocols for the US Food and Drug Administration’s (FDA) good manufacturing practices requirements, and to test the final prototype on large animals. The researchers estimate the first human clinical trials for the device will begin in about four years.
“The first clinical trial will focus on refractory recurrent ovarian cancer, and the benefit of that is that we have an ongoing trial for ovarian cancer with our encapsulated cytokine ‘drug factory’ technology,” said Veiseh in the UH press release.
The group is starting with ovarian cancer because research in this area is lacking and it will provide the opportunity for THOR to activate the immune system against ovarian cancer, which is typically challenging to fight with immunotherapy approaches. If successful in ovarian cancer, the researchers hope to test THOR in other cancers that metastasize within the abdomen, such as:
All control and decision-making will initially be performed by a healthcare provider based on signals transmitted by THOR using a computer or smartphone. However, Veiseh sees the device ultimately being powered by artificial intelligence (AI) algorithms that could independently make therapeutic decisions.
“As we treat more and more patients [with THOR], the devices are going to learn what type of biomarker readout better predicts efficacy and toxicity and make adjustments based on that,” he predicted. “Between the information you have from the first patient versus the millionth patient you treat, the algorithm is just going to get better and better.”
Moving Forward
In addition to UH and Rice University, scientists working on the project come from several institutions, including:
More research and clinical trials are needed before THOR can be used in the clinical treatment of cancer patients. If the device reaches the commercialization stage, Veiseh plans to either form a new company or license the technology to an existing company for further development.
“We know that the further we advance it in terms of getting that human data, the more likely it is that this could then be transferred to another entity,” he told Precision Medicine Online.
Pathologists and clinical laboratories will want to monitor the progress of the THOR technology’s ability to sense changes in cancer biomarkers and deliver controlled dosages of antibiotic treatments.
Though smartphone apps are technically not clinical laboratory tools, anatomic pathologists and medical laboratory scientists (MLSs) may be interested to learn how health information technology (HIT), machine learning, and smartphone apps are being used to assess different aspects of individuals’ health, independent of trained healthcare professionals.
The issue that the Cedars Sinai researchers were investigating is the accuracy of patient self-reporting. Because poop can be more complicated than meets the eye, when asked to describe their bowel movements patients often find it difficult to be specific. Thus, use of a smartphone app that enables patients to accurately assess their stools in cases where watching the function of their digestive tract is relevant to their diagnoses and treatment would be a boon to precision medicine treatments of gastroenterology diseases.
“This app takes out the guesswork by using AI—not patient input—to process the images (of bowel movements) taken by the smartphone,” said gastroenterologist Mark Pimentel, MD (above), Executive Director of Cedars-Sinai’s Medically Associated Science and Technology (MAST) program and principal investigator of the study, in a news release. “The mobile app produced more accurate and complete descriptions of constipation, diarrhea, and normal stools than a patient could, and was comparable to specimen evaluations by well-trained gastroenterologists in the study.” (Photo copyright: Cedars-Sinai.)
Pros and Cons of Bristol Stool Scale
In their paper, the scientists discussed the Bristol Stool Scale (BSS), a traditional diagnostic tool for identifying stool forms into seven categories. The seven types of stool are:
Type 1: Separate hard lumps, like nuts (difficult to pass).
Type 2: Sausage-shaped, but lumpy.
Type 3: Like a sausage, but with cracks on its surface.
Type 4: Like a sausage or snake, smooth and soft (average stool).
Type 5: Soft blobs with clear cut edges.
Type 6: Fluffy pieces with ragged edges, a mushy stool (diarrhea).
Type 7: Watery, no solid pieces, entirely liquid (diarrhea).
But even with the BSS, things can get murky for patients. Inaccurate self-reporting of stool forms by people with IBS and diarrhea can make proper diagnoses difficult.
“The problem is that whenever you have a patient reporting an outcome measure, it becomes subjective rather than objective. This can impact the placebo effect,” gastroenterologist Mark Pimentel, MD, Executive Director of Cedars-Sinai’s Medically Associated Science and Technology (MAST) program and principal investigator of the study, told Healio.
Thus, according to the researchers, AI algorithms can help with diagnosis by systematically doing the assessments for the patients, News Medical reported.
30,000 Stool Images Train New App
To conduct their study, the Cedars-Sinai researchers tested an AI smartphone app developed by Dieta Health. According to Health IT Analytics, employing AI trained on 30,000 annotated stool images, the app characterizes digital images of bowel movements using five parameters:
BSS,
Consistency,
Edge fuzziness,
Fragmentation, and
Volume.
“The app used AI to train the software to detect the consistency of the stool in the toilet based on the five parameters of stool form, We then compared that with doctors who know what they are looking at,” Pimentel told Healio.
AI Assessments Comparable to Doctors, Better than Patients
According to Health IT Analytics, the researchers found that:
AI assessed the stool comparable to gastroenterologists’ assessments on BSS, consistency, fragmentation, and edge fuzziness scores.
AI and gastroenterologists had moderate-to-good agreement on volume.
AI outperformed study participant self-reports based on the BSS with 95% accuracy, compared to patients’ 89% accuracy.
Additionally, the AI outperformed humans in specificity and sensitivity as well:
Specificity (ability to correctly report a negative result) was 27% higher.
Sensitivity (ability to correctly report a positive result) was 23% higher.
“A novel smartphone application can determine BSS and other visual stool characteristics with high accuracy compared with the two expert gastroenterologists. Moreover, trained AI was superior to subject self-reporting of BSS. AI assessments could provide more objective outcome measures for stool characterization in gastroenterology,” the Cedars-Sinai researchers wrote in their paper.
“In addition to improving a physician’s ability to assess their patients’ digestive health, this app could be advantageous for clinical trials by reducing the variability of stool outcome measures,” said gastroenterologist Ali Rezaie, MD, study co-author and Medical Director of Cedars-Sinai’s GI Motility Program in the news release.
The researchers plan to seek FDA review of the mobile app.
Opportunity for Clinical Laboratories
Anatomic pathologists and clinical laboratory leaders may want to reach out to referring gastroenterologists to find out how they can help to better serve gastro patients. As the Cedars-Sinai study suggests, AI smartphone apps can perform BSS assessments as good as or better than humans and may be useful tools in the pursuit of precision medicine treatments for patient suffering from painful gastrointestinal disorders.
Fujifilm acquired Inspirata’s Dynamyx digital pathology technology and business while GE Healthcare announced a partnership with Tribun Health in Europe
Clinical pathology laboratories, especially in the US, have been slow to adopt digital imaging systems. But recent industry deals suggest that the market may soon heat up, at least in the eyes of vendors. These collaborators may hope that, by integrating diagnostic data, the accuracy and productivity of anatomic pathologists will improve while also shortening the time to diagnosis.
In the press release, Fujifilm stated that 85% of US healthcare organizations use analog systems for pathology. That compares with 86% in Europe and 90% in Asia, the company stated.
“Acquiring Inspirata’s digital pathology business allows Fujifilm to be an even stronger healthcare partner—bridging a technological gap between pathology, radiology, and oncology to facilitate a more collaborative approach to care delivery across the enterprise,” said Fujifilm CEO and president Teiichi Goto in the press release.
The press release cited data from Signify Research, a healthcare technology marketing data firm that is predicting the global market for digital pathology systems would double from $320 million in 2021 to $640 million by 2025.
Fujifilm previously had a deal with Inspirata to sell the Dynamyx system exclusively in the UK, Italy, Spain, Portugal, Belgium, the Netherlands, and Luxembourg, an August press release noted.
“A $320 million global industry in 2021 projected to reach $640 million by 2025, the rising number of cancer cases and the demonstrated benefits of digital pathology are fueling significant demand and market growth in the hospital and pharmaceutical industries,” said Henry Izawa (above), president and CEO, Fujifilm Healthcare Americas Corporation, in a press release. “These evolving clinical needs fuel Fujifilm’s investment and innovation in the digital revolution, and we look forward to introducing Dynamyx and its host of unique features and benefits to our Synapse customers and prospects as we strive to enable more efficient medical diagnosis and high-quality care.” (Photo copyright: LinkedIn.)
In announcing their new collaboration, GE Healthcare and Tribun Health said the integration of their systems—Edison Datalogue and the Tribun Health suite—would foster collaboration between pathologists and clinicians by providing a consolidated location for imaging records. This capability is especially important in oncology, they said.
“The oncology care pathway is one of the most complex with multiple steps involving a variety of specialists, complex tools, frequent decisions, and large data sets,” said GE Healthcare CEO of Enterprise Digital Solutions Nalinikanth Gollagunta in a GE press release. “With this digital pathology collaboration, we continue our journey towards simplifying the oncology care pathway with improved data management, the digitization of pathology, and streamlined data access.”
Tribun Health, based in Paris, France, offers a digital pathology platform that incorporates a camera system, artificial intelligence (AI)-based analysis, remote collaboration, and storage management, plus integration with third-party automation apps.
GE Healthcare claims that Edison Datalogue has the largest share of the Vendor Neutral Archive (VNA) market. That term refers to image archiving systems that use standard formats and interfaces instead of proprietary formats. They are an alternative to the more widely used Picture Archiving and Communications Systems (PACS) used in medical imaging.
The collaboration between the companies “is probably a strategic move to position GE as an integrator of imaging data and digital pathology data in oncology,” said Robert Michel Editor-in-Chief of Dark Daily and its sister publication The Dark Report.
GE’s History with Dynamyx
This is not GE Healthcare’s first foray into digital pathology. In fact, the company had a major hand in launching the very Dynamyx system that Fujifilm recently acquired.
In “GE Healthcare Sells Omnyx to Inspirata,” The Dark Report interviewed Inspirata CEO Satish Sanan who at that time said the acquisition would allow his company to offer “a fully integrated, end-to-end digital pathology solution” in Canada and Europe. But GE Healthcare chose to end the partnership in 2016, citing regulatory uncertainty and variable global demand. Two years later, GE sold Omnyx to Inspirata.
GE Healthcare’s new collaboration with Tribun Health shows that the company “still recognizes the value of the pathology data in cancer diagnosis and wants to be in a position to manage that digital pathology data,” Michel said.
Fujifilm’s Plans
Fujifilm said it will incorporate Dynamyx into its Synapse Enterprise Imaging suite, which includes VNA, Radiology PACS, and Cardiology PACS. “Future releases of Dynamyx will also create opportunities for Fujifilm to support pharmaceutical and contract research organizations with toxicity testing data management for drug development,” the company stated in the press release.
With its recent moves into digital pathology, Fujifilm will be taking on major competitors including Philips, Danaher, and Roche, MedTech Dive reported.
As clinical laboratory self-testing expands, sharing of test results with healthcare providers becomes even more essential to optimize health outcomes
Survey data collected by the University of Michigan’s Institute for Healthcare Policy and Innovation (IHPI) indicates that consumer interest in direct-to-consumer (DTC) medical self-testing is growing. In fact, DTC testing appears to be more popular ever, even among older adults who were asked how they feel about performing clinical laboratory self-testing and specimen collecting for certain illnesses.
According Michigan Medicine’s MHealth Lab, “82% of older adults say that in the future, they would be somewhat or very interested in taking a medical test at home.”
Dark Daily has written regularly about this trend and how leaders need a strategy to serve this class of consumer. That strategy could include collecting the self-test results from consumers and keeping a complete record of consumers’ clinical laboratory test results from inpatient, outpatient, and self-test settings.
“As more companies bring these direct-to-consumer [medical] tests to market and buy ads promoting them, it’s important for healthcare providers and policymakers to understand what patients might be purchasing, what they’re doing with the results, and how that fits into the broader clinical and regulatory picture,” said research scientist Jeffrey Kullgren, MD (above), Associate Professor of Internal Medicine and Health Management and Policy at the University of Michigan in a press release. Clinical laboratories may find opportunities to support patients’ self-testing in tandem with the physicians who treat them. (Photo copyright: University of Michigan.)
Importance of Sharing Clinical Laboratory Self-Test Results
Individuals responding to the poll were asked only about medical laboratory self-tests they had purchased themselves either online or at a retail store. Tests provided to respondents by a healthcare provider or given to them for free were not part of the survey.
The researchers discovered that 48% of respondents had purchased at least one variety of at-home health tests in the past. The types of tests bought included:
Tests for infections other than COVID-19, such as urinary tract infections or HIV (4%), and
Other types of at-home tests, including those for allergies and food sensitivities (10%).
Approximately 82% of the respondents said they would be somewhat or very interested in taking at-home medical tests and nine out of 10 believed the test results should be shared with their doctors. But only 55% of respondents who had taken an at-home medical test and received positive results for infection other than COVID-19 had shared those results with their primary care physician.
However, 90% of respondents who had purchased a self-test for cancer screening did provide their doctors with the results.
“As we have seen in COVID-19, it’s important to share results from a home test with a provider so that it can be used to guide your care and be counted in official statistics,” said Jeffrey Kullgren, MD, Associate Professor of Internal Medicine and Health Management and Policy at the University of Michigan in an IHPI press release. Kullgren, a primary care physician and healthcare researcher at Michigan Medicine and the VA Ann Arbor Healthcare System, directed the IHPI poll.
Not All Medical Self-Tests Are Regulated by the FDA
The most prominent reason for wanting to use at-home tests was convenience and 59% of those surveyed felt that the results could be trusted.
The poll also found that 53% of older adults believe at-home medical tests are regulated by the federal government, which isn’t always the case. Many at-home medical tests are reviewed by the federal US Food and Drug Administration (FDA), but not all such tests receive full FDA review.
The FDA, however, offers an online, searchable database consumers can use to determine if a certain over-the-counter test is regulated by the FDA.
“Home tests can be a convenient way for older adults to check if they have an illness, such as COVID-19” stated Indira Venkat, Senior Vice President, AARP Research in the press release. “But consumers should make sure they know whether the test they are taking is FDA-approved, and how their health or genetic information might be shared.”
Other interesting outcomes of the research include:
The purchasing of at-home COVID-19 tests was highest among those between the ages of 50 and 64 when compared to the 65 to 80 age group, but there were no age differences for other types of at-home tests.
Respondents who are married or have who more education and/or higher household incomes were more likely to have purchased at-home tests.
Blacks were less likely to buy at-home medical tests than Whites or Hispanics.
Interest for at-home tests was higher among women than men.
Advertising swayed 44% of purchasing respondents to buy a DNA test and 11% to buy a cancer screening test.
Are DTC Home Tests as Accurate as Clinical Laboratory Testing?
At-home medical self-testing and sample collection is becoming accepted and established with consumers and the medical community, which is drawing attention to the accuracy of these tests and how clinical laboratories are being affected by the trend.
The findings of this recent survey of older consumers is just the latest evidence that at-home self-testing for everything from COVID to cancer is here to stay. Clinical laboratories should be looking for ways to serve this patient population and the physicians who treat them.