Technology could enable patients to monitor their own oxygen levels and transmit that data to healthcare providers, including clinical laboratories
Clinical laboratories may soon have a new data point to add to their laboratory information system (LIS) for doctors to review. Researchers have determined that smartphones can read blood-oxygen levels as accurately as purpose-built pulse oximeters.
Conducted by researchers at the University of Washington (UW) and University of California San Diego (UC San Diego), the proof-of-concept study found that an unmodified smartphone camera and flash along with an app is “capable of detecting blood oxygen saturation levels down to 70%. This is the lowest value that pulse oximeters should be able to measure, as recommended by the US Food and Drug Administration,” according to Digital Health News.
This could mean that patients at risk of hypoxemia, or who are suffering a respiratory illness such as COVID-19, could eventually add accurate blood-oxygen saturation (SpO2) readings to their lab test results at any time and from any location.
“In an ideal world, this information could be seamlessly transmitted to a doctor’s office. This would be really beneficial for telemedicine appointments or for triage nurses to be able to quickly determine whether patients need to go to the emergency department or if they can continue to rest at home and make an appointment with their primary care provider later,” Matthew Thompson, DPhil, Professor of Global Health and Family Medicine at University of Washington, told Digital Health News. Clinical laboratories may soon have a new data point for their laboratory information systems. (Photo copyright. University of Washington.)
UW/UC San Diego Study Details
The researchers studied three men and three women, ages 20-34. All were Caucasian except for one African American, Digital Health News reported. To conduct the study, a standard pulse oximeter was placed on a finger and, on the same hand, another of the participant’s fingers was placed over a smartphone camera.
“We performed the first clinical development validation on a smartphone camera-based SpO2 sensing system using a varied fraction of inspired oxygen (FiO2) protocol, creating a clinically relevant validation dataset for solely smartphone-based contact PPG [photoplethysmography] methods on a wider range of SpO2 values (70–100%) than prior studies (85–100%). We built a deep learning model using this data to demonstrate an overall MAE [Mean Absolute Error] = 5.00% SpO2 while identifying positive cases of low SpO2 < 90% with 81% sensitivity and 79% specificity,” the researchers wrote in NPJ Digital Medicine.
When the smartphone camera’s flash passes light through the finger, “a deep-learning algorithm deciphers the blood oxygen levels.” Participants were also breathing in “a controlled mixture of oxygen and nitrogen to slowly reduce oxygen levels,” Digital Health News reported.
“The camera is recording a video: Every time your heart beats, fresh blood flows through the part illuminated by the flash,” Edward Wang, PhD, Assistant Professor of Electrical and Computer Engineering at UC San Diego and senior author of the project, told Digital Health News. Wang started this project as a UW doctoral student studying electrical and computer engineering and now directs the UC San Diego DigiHealth Lab.
“The camera records how much that blood absorbs the light from the flash in each of the three color channels it measures: red, green, and blue. Then we can feed those intensity measurements into our deep-learning model,” he added.
The deep learning algorithm “pulled out the blood oxygen levels. The remainder of the data was used to validate the method and then test it to see how well it performed on new subjects,” Digital Health News reported.
“Smartphone light can get scattered by all these other components in your finger, which means there’s a lot of noise in the data that we’re looking at,” Varun Viswanath, co-lead author in the study, told Digital Health News. Viswanath is a UW alumnus who is now a doctoral student being advised by Wang at UC San Diego.
“Deep learning is a really helpful technique here because it can see these really complex and nuanced features and helps you find patterns that you wouldn’t otherwise be able to see,” he added.
Each round of testing took approximately 15 minutes. In total the researchers gathered more than 10,000 blood oxygen readings. Levels ranged from 61% to 100%.
“The smartphone correctly predicted whether the subject had low blood oxygen levels 80% of the time,” Digital Health News reported.
Smartphones Accurately Collecting Data
The UW/UC San Diego study is the first to show such precise results using a smartphone.
“Other smartphone apps that do this were developed by asking people to hold their breath. But people get very uncomfortable and have to breathe after a minute or so, and that’s before their blood-oxygen levels have gone down far enough to represent the full range of clinically relevant data,” said Jason Hoffman, a PhD student researcher at UW’s UbiComp Lab and co-lead author of the study.
The ability to track a full 15 minutes of data is a prime example of improvement. “Our data shows that smartphones could work well right in the critical threshold range,” Hoffman added.
“Smartphone-based SpO2 monitors, especially those that rely only on built-in hardware with no modifications, present an opportunity to detect and monitor respiratory conditions in contexts where pulse oximeters are less available,” the researchers wrote.
“This way you could have multiple measurements with your own device at either no cost or low cost,” Matthew Thompson, DPhil, Professor of Global Health and Family Medicine at University of Washington, told Digital Health News. Thompson is a professor of both family medicine and global health and an adjunct professor of pediatrics at the UW School of Medicine.
What Comes Next
The UW/UC San Diego research team plans to continue its research and gather more diversity among subjects.
“It’s so important to do a study like this,” Wang said. “Traditional medical devices go through rigorous testing. But computer science research is still just starting to dig its teeth into using machine learning for biomedical device development and we’re all still learning. By forcing ourselves to be rigorous, we’re forcing ourselves to learn how to do things right.”
Though no current clinical laboratory application is pending, smartphone use to capture biometrics for testing is increasing. Soon, labs may need a way to input all that data into their laboratory information systems. It’s something to consider.
Study may also result in new clinical laboratory tools for determining antimicrobial resistance and efficacy of existing antibiotics
Researchers find it increasingly difficult to develop antibiotics that are effective against strains of bacteria that display antibiotic resistance—a subset of antimicrobial resistance (AMR). However, a new study provides a glimmer of hope and may spur clinical laboratories to look at this research in novel ways.
Conducted at the University of California Santa Barbara, the study looked at more than 500 antibiotic-bacteria combinations. The researchers discovered that several widely used, FDA-approved, antibiotics may be more useful than previously thought against a large range of bacterial infections, said infectious disease specialist Judy Stone, MD, in an article she penned for Forbes titled, “Why Antibiotics Fail—and How We Can Do Better.”
The researchers also discovered a common culture medium that enables a better assessment of the properties of various strains of bacteria to resist different antibiotics.
Clinical laboratories and microbiologists are tasked with plating and growing bugs to identify a specific bug, what strain of bug, and whether that strain has resistance to specific antibiotics. Thus, this research touches on what they do daily. It is something that may provide microbiologists with new approaches to detect AMR more accurately.
“We know there are a variety of reasons why antibiotics don’t work as predicted, from wrongly prescribed doses to infrequent administration, but another less noticeable reason is that lab testing can show a bacteria is susceptible to antibiotics when it’s actually not. You know, the whole in vitro (culture plate) versus in vivo (life) balance,” wrote Judy Stone, MD, infectious disease expert, in her Forbes article. Clinical laboratories may soon have a better way of identifying antibiotic resistance in deadly bacteria. (Photo: LinkedIn profile.)
UCSB Antimicrobial Study Details
Antibiotic-resistant infections are responsible for more than 32,000 deaths in the US and 1.27 million globally every year, Forbes reported. A study like this can have a far-reaching impact.
To conduct their study, Michael Mahan, PhD, Professor of Molecular, Cellular, and Developmental Biology at UCSB, and his team at the Mahan Lab on the UCSB campus, used Fisher Scientific’s Gibco Dulbecco’s Modified Eagle Medium (DMEM), a basal medium for supporting the growth of many different mammalian cells.
The DMEM predicted antibiotic effectiveness better than Mueller Hinton Broth (MHB), another growth medium from Thermo Fisher Scientific that has been used in clinical laboratories by World Health Organization (WHO) decree since 1968, Forbes reported.
Assays were run against 13 isolates from nine species of bacteria to determine the efficacy of 15 different antibiotics. Using DMEM, the team found different sensitivities in 15% of the bacterial isolates tested in vitro compared to MHB.
In Mahan’s follow-up tests, which looked at mice infected with different bacteria, MHB was accurate in 54% of test predictions while DMEM was accurate 77% of the time. Part of the reason, Mahan believes, is because DMEM is more physiologic and closer in conditions to people (in vivo), Forbes reported.
“People are not Petri plates—that is why antibiotics fail. Testing under conditions that mimic the body improves the accuracy by which lab tests predict drug potency,” said Mahan in a UCSB press release.
“I think it has merit. I think this study has been very well-designed … and showed that this makes clinical sense … If it bears out in humans, it will be clinically very significant,” pulmonologist Ken Yomer Yoneda, MD, Professor Emeritus, Department of Internal Medicine at UC Davis Health, told Forbes.
Though the major limitation of the study is that it was conducted on mice and not humans, Yoneda said it gives an indication of potential success with humans. “If it bears out in humans it will be clinically very significant,” he told Stone for her Forbes article.
Rodney Rohde, PhD, Professor and Chair of Clinical Lab Science Program at Texas State University also shared enthusiasm on the findings. According to Stone, “[Rohde] was ‘intrigued’ by the finding that using a physiologic media predicted ‘a change in susceptibility’ thresholds used to categorize patient isolates as susceptible or resistant.
“He was also ‘excited about the results of increasing diagnostic accuracy’ with especially difficult-to-treat organisms,” she noted.
“Rohde added that the issue of these clinical breakpoints—setting the level at which an organism is defined as ‘sensitive’ or ‘resistant’ to an antibiotic is a hot topic, undergoing considerable discussion in lab circles. Multiple agencies need to reach agreement for the standards that are used globally, both in the US and Europe,” Stone wrote.
Old Drug, New Tricks
According to the UCSB press release, “Physicians are aware of the flaws in the gold-standard test [MHB]. When recommended antibiotics do not work, they must rely on their experience to decide on the appropriate antibiotic(s) for their patients. This study provides a potential solution to address the disparity between antibiotics indicated by standard testing and actual patient outcomes.”
Infectious disease physician Lynn Fitzgibbons, MD, remarked in the UCSB press release, “Re-evaluation of FDA-approved antibiotics may be of far greater benefit than the time and cost of developing new drugs to combat antimicrobial resistance, potentially leading to significant life-savings and cost-savings.”
In her Forbes article, Stone wrote, “Pharmaceutical companies are abandoning the acute infectious disease market and few new antibiotics are in sight. Pharma is profit driven and antibiotics are simply not as lucrative as life-style drugs (like Viagra/Cialis or Rogaine for hair loss) or those for chronic diseases. So, Mahan et al.’s findings are welcome news indeed.”
Once further studies validate the UCSB study findings and allow their use in clinical settings for patient care, clinical laboratories and microbiologists may have new tools for accurately determining a bacterium’s ability to resist existing antibiotics or its susceptibility to antibiotics not currently used to treat certain infections.
HIMSS names SMC a ‘world leader’ in digital pathology and awards the South Korean Healthcare provider Stage 7 DIAM status
Anatomic pathologists and clinical laboratory managers in hospitals know that during surgery, time is of the essence. While the patient is still on the surgical table, biopsies must be sent to the lab to be frozen and sectioned before going to the surgical pathologist for reading. Thus, shortening time to answer for frozen sections is a significant benefit.
This effort in surgical pathology is part of a larger story of the digital transformation underway across all service lines at this hospital. For years, SMC has been on track to become one of the world’s “intelligent hospitals,” and it is succeeding. In February, SMC became the first healthcare provider to achieve Stage 7 in the HIMSS Digital Imaging Adoption Model (DIAM), which “assesses an organization’s capabilities in the delivery of medical imaging,” Healthcare IT News reported.
As pathologists and clinical laboratory leaders know, implementation of digital pathology is no easy feat. So, it’s noteworthy that SMC has brought together disparate technologies to reduce turnaround times, and that the medical center has caught the eye of leading health information technology (HIT) organizations.
“The digital pathology system established by the pathology department and SMC’s information strategy team could be one of the good examples of the fourth industrial revolution model applied to a hospital system,” anatomic pathologist Kee Taek Jang, MD (above), Professor of Pathology, Sungkyunkwan University School of Medicine, Samsung Medical Center told Healthcare IT News. Clinical laboratory leaders and surgical pathologists understand the value digital pathology can bring to faster turnaround times. (Photo copyright: Samsung Medical Center.)
Anatomic Pathologists Can Read Frozen Sections on Their Smartphones
Prior to implementation of its 5G digital pathology system, surgeons and their patients waited as much as 20 minutes for anatomic pathologists to traverse SMC’s medical campus to reach the healthcare provider’s cancer center diagnostic reading room, Healthcare IT News reported.
Now, SMC’s integrated digital pathology system—which combines slide scanners, analysis software, and desktop computers with a 5G network—has enabled a “rapid imaging search across the hospital,” Healthcare IT News noted. Surgical pathologists can analyze tissue samples faster and from remote locations on digital devices that are convenient to them at the time, a significant benefit to patient care.
“The system has been effective in reducing the turnaround time as pathologists can now attend to frozen test consultations on their smartphone or tablet device via 5G network anywhere in the hospital,” Jean-Hyoung Lee, SMC’s Manager of IT Infrastructure, told Healthcare IT News which noted these system results:
TAT decreased from 20 minutes to 10 minutes.
Transferring scans of large frozen tissues up to three gigabyte in size is now possible through the 5G network.
Additionally, through the 5G network, pathologists can efficiently access CT scans and MRI data on proton therapy cancer treatments. Prior to the change, the doctors had to download the image files in SMC’s Proton Therapy Center, according to a news release from KT Corporation, a South Korean telecommunications company that began working with SMC on building the 5G-connected digital pathology system in 2019.
DIAM is an approach for gauging an organization’s medical imaging delivery capabilities. To achieve Stage 7—External Image Exchange and Patient Engagement—healthcare providers must also have achieved all capabilities outlined in Stages 5 and 6.
In addition, the following must also have been adopted:
The majority of image-producing service areas are exchanging and/or sharing images and reports and/or clinical notes based on recognized standards with care organizations of all types, including local, regional, or national health information exchanges.
The application(s) used in image-producing service areas support multidisciplinary interactive collaboration.
Patients can make appointments, and access reports, images, and educational content specific to their individual situation online.
Patients are able to electronically upload, download, and share their images.
“This is the most comprehensive use of integrated digital pathology we have seen,” Andrew Pearce, HIMSS VP Analytics and Global Advisory Lead, told Healthcare IT News.
SMC’s Manager of IT Planning Seungho Lim told Healthcare IT News the medical center’s goal is to become “a global advanced intelligent hospital through digital health innovation.” The plan is to offer, he added, “super-gap digital services that prioritize non-contact communication and cutting-edge technology.”
For pathologists and clinical laboratory leaders, SMC’s commitment to 5G to move digital pathology data is compelling. And its recognition by HIMSS could inspire more healthcare organization to make changes in medical laboratory workflows. SMC, and perhaps other South Korean healthcare providers, will likely continue to draw attention for their healthcare IT achievements.
Understanding requirements of digital pathology workflow matters as regulatory and reimbursement elements align toward wider adoption beyond 2023. Upcoming Dark Daily webinar May 10 to cover infrastructure requirements
Nearly all pathology residents and fellows, as well as many histologists and other medical students, have been trained using digital images and, therefore, digital pathology tools. This resounds as a major and important development now working in tandem with recent coding decisions and regulatory recommendations that may combine to advance digital pathology to a significant tipping point.
As Dark Daily’s sister publication, The Dark Report, has described in great detail over the past several years, the trend toward digital pathology implementation started in the mid-2000s. Much has been learned through trial and error that may make the practical path forward clearer for those still on the sidelines.
Digital pathology infrastructure and information technology (IT) requirements are better known after years of research at academic centers throughout the United States—but only for those closest to the action. Two examples are University of Southern California (USC) on the West Coast and Memorial Sloan Kettering Cancer Center (MSKCC) on the East Coast.
During a free 60-minute educational webinar on May 10, W. Dean Wallace, MD, (far left) of University of Southern California (USC) and Orly Ardon, PhD, MBA, (immediate left) of Memorial Sloan Kettering Cancer Center (MSKCC) will explain digital pathology infrastructure, IT, and lessons learned through firsthand experiences. The webinar is sponsored by Hamamatsu, and continuing education credit is available for listening.(Photo copyrights: USC and MSKCC.)
Seven Advantages of Early Adoption of Whole Slide Imaging and Digital Pathology
Many pathologists know that academic centers throughout the U.S. have been the first to adopt and use digital pathology scanners and systems. Early work in what have become custom digital pathology ecosystems has enabled academic pathology groups to:
Learn how to implement, validate, and design workflows that include digital pathology systems and computational pathology.
Determine how physical environments need to change for slide scanners, achieving quality images, maximizing scanner utility, and expanding scanning capabilities in medium- and high-throughput laboratories.
Contract with pharmaceutical companies and drug developers to read digital images in support of drug research and clinical trials.
Understand how digital pathology applies for various use cases, including primary diagnosis, frozen section diagnosis, consultations, second opinions, and telepathology.
Successfully spread pathologist technical and professional support across multiple laboratory locations and remote customers.
Learn best practices for conducting tumor boards and peer reviews of pathology cases.
Validate and verify new hematoxylin and eosin (H&E) stains.
Hospital and Lab Leaders Have Questions About Digital Pathology Requirements
As a result of early adopter projects, digital pathology infrastructure and IT requirements are better understood and documented for a variety of use cases, according to W. Dean Wallace, MD, Professor of Pathology at the Keck School of Medicine of USC. Wallace specializes in pulmonary and renal pathology with a strong interest in informatics, as well as radiology and pathology correlation, and he warns of the danger of implementing an “incomplete digital pathology system.”
This webinar is for hospital and health system leaders, as well as independent pathology groups and reference lab executives, who want to know:
Key workflow aspects of the components needed in a digital pathology service.
Common limitations of commercial digital pathology products.
How to structure a digital pathology implementation team.
A goal-based approach to developing a business case for digital pathology implementation.
Wallace and Orly Ardon, PhD, MBA, Director of Digital Pathology Operations at MSKCC, will lead the call and take questions during the webinar’s live Q&A segment.
Questions About Digital Pathology Implementation
At MSKCC, teams have scanned and archived more than six million histology slides and are prospectively scanning all in-house H&E slides.
“There is a lot of interest out there for digital pathology implementation,” Ardon told Dark Daily, “not only the AI-machine learning opportunities that are enabled with digital slides, but how do we even start a basic digital pathology journey. Institutions and labs don’t realize how many factors they have to think about before they start scanning the first slide.”
“People have limited understanding of the complexities of the business case,” Wallace added. “Do you want to go with a full 100% deployment or a targeted deployment? Do you want to get digital pathology to support tumor boards? By introducing scanners into the tumor board workflow, you can actually cause more problems than you are solving if you are not careful.
“The other aspect of it is the actual technical deployments. You need to begin with careful analysis of functions or services to support,” Wallace said, adding the soft costs of digital pathology can take lab and pathology administrators by surprise.
Ardon and Wallace will present their insights and experiences during the webinar, which has been sponsored by Hamamatsu. Those interested can learn more and register at Dark Dailyhere. P.A.C.E. credit is available for this program through the American Society for Clinical Laboratory Science (ASCLS).
On the Horizon: Incentives and Further Alignment Toward Digital Pathology Adoption
Dark Daily’s new webinar is timely. Earlier this year, the Centers for Medicare and Medicaid Services (CMS) entered what has been called a “tryout” period to gather data about the use of new, digital-pathology-related Current Procedural Terminology (CPT) codes in clinical laboratories and anatomic pathology groups. (See coverage in The Dark Report.)
Some believe the efforts of CMS, clinical labs, and pathology groups will result in new reimbursable codes, reimbursement values, and other incentives for using digital pathology (starting sometime in 2024)—if analysis shows use of digital pathology is as widespread as numerous publications would seem to indicate.
The CPT coding development coincides with recent discussions within the federal Clinical Laboratory Improvement Advisory Committee (CLIAC) about sweeping recommendations to allow continued remote work once the COVID-19 Public Health Emergency ends on May 11 and recognize digital data as a vital component of diagnostic specimens. (See coverage in The Dark Report.)
CLIAC’s recommendations may translate into a running start for modernizing the Clinical Laboratory Improvement Amendments of 1988 (CLIA). CLIA as it is written currently is dated and needs to account for new and emerging technologies, such as digital pathology, medical laboratory industry sources have said for years. (See a recent Dark Report – Dark Daily webinar.)
These developments, as they further align with actions by the U.S. Food and Drug Administration (FDA), could unleash swells of interest in onboarding whole slide scanners and digital pathology tools. Remote workflows became a priority during the COVID-19 pandemic, and it appears they will continue for a period as the Public Health Emergency unwinds, according to the FDA.
Watch Digital Pathology Implementation Strategies
Most executives at hospitals and health systems, private pathology practices, and independent reference labs are on the sidelines watching how digital pathology in research and clinical practice is unfolding.
However, as the pathology field integrates data science and computational pathology, forward-looking hospital and lab leaders can expect greater momentum toward advanced technologies, such as digital pathology tools.
Register here to participate in the upcoming webinar, “Digital Pathology Implementation Strategies.”
—Liz Carey
This content was developed through independent research and interviews by The Dark Intelligence Group, with support from Hamamatsu Photonics K.K., a provider of whole slide imaging systems and related technology such as optical sensors, light sources, and complex instrument systems that use them. Hamamatsu did not participate in the article’s development. Learn more about Hamamatsu at https://nanozoomer.hamamatsu.com/us/en.html.
Viruses are between 27,000 to 48,500 years old and not dangerous, but researchers say thawing permafrost may one day release pathogens capable of infecting humans
Last fall, European researchers working with virologists and genetic scientists at the Aix-Marseille University in France reported having revived and characterized 13 previously unknown “zombie” viruses isolated from Siberian permafrost samples, including one that was almost 50,000 years old. This will be of particular interest to microbiologists and clinical laboratory managers since these organisms are new to science and may be precursors to infectious agents active in the world today.
The work of the European scientists demonstrates how advancements in genome sequencing and analysis of DNA data are becoming, faster, less expensive, and more precise. That’s good because the researchers warned that, should the permafrost continue to thaw, other previously dormant viruses could be released, posing potential risks for public health.
The pathogens isolated by the researchers are so-called “giant viruses” that infect Acanthamoeba, a commonly found genus of amoeba, and thus are not likely to pose an immediate health threat, the researchers wrote.
However, the scientists expressed concern. “We believe our results with Acanthamoeba-infecting viruses can be extrapolated to many other DNA viruses capable of infecting humans or animals. It is thus likely that ancient permafrost … will release these unknown viruses upon thawing,” they stated in their Viruses paper.
It’s unknown how long the viruses “could be infectious once exposed to outdoor conditions (UV light, oxygen, heat), and how likely they will be to encounter and infect a suitable host in the interval,” they added. However, “the risk is bound to increase in the context of global warming, in which permafrost thawing will keep accelerating, and more people will populate the Arctic in the wake of industrial ventures.”
“In nature we have a big natural freezer, which is the Siberian permafrost,” virologist Paulo Verardi, PhD (above), head of the Department of Pathobiology and Veterinary Science at the University of Connecticut, told The Washington Post. “And that can be a little bit concerning.” However, “if you do the risk assessment, this is very low. We have many more things to worry about right now.” Nevertheless, clinical laboratories may want to remain vigilant. (Photo copyright: University of Connecticut.)
Extremely Old, Very Large Viruses
The newly discovered viruses were found in seven different permafrost samples. Radiocarbon dating determined that they had been dormant for 27,000 to 48,500 years. But viruses contained in permafrost could be even older, the researchers wrote, as the time limit is “solely dictated by the validity range of radiocarbon dating.”
In their Viruses paper, the researchers noted that most of the 13 viruses are “at a preliminary stage of characterization,” and others have been isolated in the research laboratory “but not yet published, pending their complete genome assembly, annotation, or detailed analysis.”
“Every time we look, we will find a virus,” study co-author Jean-Michel Claverie, PhD, told The Washington Post. “It’s a done deal. We know that every time we’re going to look for viruses—infectious viruses in permafrost—we are going to find some.”
Claverie is a professor emeritus of genomics and bioinformatics in the School of Medicine at Aix-Marseille Université in Marseille, France. He leads a university laboratory known for its work in “paleovirology,” and in 2003, discovered the first known giant virus, dubbed Mimivirus. The research team included scientists from Germany and Russia.
According to CNN, unlike regular viruses that generally require an electron microscope to be viewed, giant viruses can be seen under a standard light (optical) microscope. Claverie’s laboratory previously isolated giant viruses from permafrost in 2014 and 2015.
Protecting Against Accidental Infection
To demonstrate the infectious potential of the viruses, the researchers inserted the microbes into cultured amoeba cells, which the researchers describes as “virus bait,” The Washington Post reported. One advantage of using Acanthamoeba cultures is to maintain “biological security,” the researchers wrote in their paper.
“We are using [the amoeba’s] billion years of evolutionary distance with human and other mammals as the best possible protection against an accidental infection of laboratory workers or the spread of a dreadful virus once infecting Pleistocene mammals to their contemporary relatives,” the paper noted. “The biohazard associated with reviving prehistorical amoeba-infecting viruses is thus totally negligible compared to the search for ‘paleoviruses’ directly from permafrost-preserved remains of mammoths, woolly rhinoceros, or prehistoric horses.”
The paper cites earlier research noting the presence of bacteria in ancient permafrost samples, “a significant proportion of which are thought to be alive.” These include relatives of contemporary pathogens such as:
“We can reasonably hope that an epidemic caused by a revived prehistoric pathogenic bacterium could be quickly controlled by the modern antibiotics at our disposal,” the researchers wrote, but “the situation would be much more disastrous in the case of plant, animal, or human diseases caused by the revival of an ancient unknown virus.”
However, according to The Washington Post, “Virologists who were not involved in the research said the specter of future pandemics being unleashed from the Siberian steppe ranks low on the list of current public health threats. Most new—or ancient—viruses are not dangerous, and the ones that survive the deep freeze for thousands of years tend not to be in the category of coronaviruses and other highly infectious viruses that lead to pandemics.”
Cornell University virologist Colin Parrish, PhD, President of the American Society for Virology, told The Washington Post that an ancient virus “seems like a low risk compared to the large numbers of viruses that are circulating among vertebrates around the world, and that have proven to be real threats in the past, and where similar events could happen in the future, as we still lack a framework for recognizing those ahead of time.”
Anthony Fauci, MD, former Director of the National Institute of Allergy and Infectious Diseases (NIAID), responded to an earlier study from Claverie’s lab by outlining all the unlikely events that would have to transpire for one of these viruses to cause a pandemic. “The permafrost virus must be able to infect humans, it must then [cause disease], and it must be able to spread efficiently from human to human,” he told The Washington Post in 2015. “This can happen, but it is very unlikely.”
Thus, clinical laboratories probably won’t see new diagnostic testing to identify ancient viruses anytime soon. But it’s always best to remain vigilant.
Though still in trials, early results show tests may be more accurate than traditional clinical laboratory tests for detecting prostate cancer
Within weeks of each other, different research teams in the US and UK published findings of their respective efforts to develop a better, more accurate clinical laboratory prostate cancer test. With cancer being a leading cause of death among men—second only to heart disease according to the Centers for Disease Control and Prevention (CDC)—new diagnostics to identify prostate cancer would be a boon to precision medicine treatments for the deadly disease and could save many lives.
Thus, these are two different pathways toward the goal of achieving earlier, more accurate diagnosis of prostate cancer, the holy grail of prostate cancer diagnosis.
“There is currently no single test for prostate cancer, but PSA blood tests are among the most used, alongside physical examinations, MRI scans, and biopsies,” said Dmitry Pshezhetskiy, PhD (above), Professorial Research Fellow at University of East Anglia and one of the authors of the UEA study. “However, PSA blood tests are not routinely used to screen for prostate cancer, as results can be unreliable. Only about a quarter of people who have a prostate biopsy due to an elevated PSA level are found to have prostate cancer. There has therefore been a drive to create a new blood test with greater accuracy.” With the completion of the US and UK studies, clinical laboratories may soon have a new diagnostic test for prostate cancer. (Photo copyright: University of East Anglia.)
East Anglia’s Research into a More Accurate Blood Test
Scientists at the University of East Anglia (UEA) worked with researchers from Imperial College in London, Imperial College NHS Trust, and Oxford BioDynamics to develop a new precision medicine blood test that can detect prostate cancer with greater accuracy than current methods.
The researchers evaluated their test in a pilot study involving 147 patients. They found their testing method had a 94% accuracy rate, which is higher than that of PSA testing alone. They discovered their test significantly improved the overall detection of prostate cancer in men who are at risk for the disease.
“When tested in the context of screening a population at risk, the PSE test yields a rapid and minimally invasive prostate cancer diagnosis with impressive performance,” Dmitry Pshezhetskiy, PhD, Professorial Research Fellow at UEA and one of the authors of the study told Science Daily. “This suggests a real benefit for both diagnostic and screening purposes.”
The UK scientists hope their test can eventually be used in everyday clinical practice as there is a need for a highly accurate method for prostate cancer screening that does not subject patients to unnecessary, costly, invasive procedures.
Cedars-Sinai’s Research into Nanotechnology Cancer Testing
Researchers from Cedars-Sinai Cancer took a different approach to diagnosing prostate cancer by developing a nanotechnology-based liquid biopsy test that detects the disease even in microscopic amounts.
Their test isolates and identifies extracellular vesicles (EVs) from blood samples. EVs are microscopic non-reproducing protein and genetic material shed by all cells. Cedars-Sinai’s EV Digital Scoring Assay accurately extracts EVs from blood and analyzes them faster than similar currently available tests.
“This research will revolutionize the liquid biopsy in prostate cancer,” said oncologist Edwin Posadas, MD, Medical Director of the Urologic Oncology Program and co-director of the Experimental Therapeutics Program in Cedars-Sinai Cancer in a press release. “The test is fast, minimally invasive and cost-effective, and opens up a new suite of tools that will help us optimize treatment and quality of life for prostate cancer patients.”
The researchers tested blood samples from 40 patients with prostate cancer. They found that their EV test could distinguish between cancer localized to the prostate and cancer that has spread to other parts of the body.
Microscopic cancer deposits, called micrometastases, are not always detectable, even with advanced imaging methods. When these deposits spread outside the prostate area, focused radiation cannot prevent further progression of the disease. Thus, the ability to identify cancer by locale within the body could lead to new precision medicine treatments for the illness.
“[The EV Digital Scoring Assay] would allow many patients to avoid the potential harms of radiation that isn’t targeting their disease, and instead receive systemic therapy that could slow disease progression,” Posadas explained.
Other Clinical Laboratory Tests for Prostate Cancer Under Development
According to the American Cancer Society, the number of prostate cancer cases is increasing. One out of eight men will be diagnosed with the illness during his lifetime. Thus, developers have been working on clinical laboratory tests to accurately detect the disease and save lives for some time.
In “University of East Anglia Researchers Develop Non-Invasive Prostate Cancer Urine Test,” Dark Daily reported on a urine test also developed by scientists at the University of East Anglia that clinical laboratories can use to not only accurately diagnose prostate cancer but also determine whether it is an aggressive form of the disease.
And in “UPMC Researchers Develop Artificial Intelligence Algorithm That Detects Prostate Cancer with ‘Near Perfect Accuracy’ in Effort to Improve How Pathologists Diagnose Cancer ,” we outlined how researchers at the University of Pittsburgh Medical Center (UPMC) working with Ibex Medical Analytics in Israel had developed an artificial intelligence (AI) algorithm for digital pathology that can accurately diagnose prostate cancer. In the initial study, the algorithm—dubbed the Galen Prostate AI platform—accurately detected prostate cancer with 98% sensitivity and 97% specificity.
More research and clinical trials are needed before the new US and UK prostate cancer testing methods will be ready to be used in clinical settings. But it’s clear that ongoing research may soon produce new clinical laboratory tests and diagnostics for prostate cancer that will steer treatment options and allow for better patient outcomes.
