Ultima Genomics says it is emerging from “stealth mode” with millions in fresh capital and technology capable of sequencing whole human genomes for a fraction of the cost
Investors seem to be optimistic that an emerging genetics company has the proprietary solution to sequence a whole human genome for just $100. If true, this is a development that would be of interest to clinical laboratory managers and pathologists.
The company, Ultima Genomics of Newark, Calif., recently announced that it had raised $600 million from the investment community. In a press release last month, the company announced it has “emerged from stealth mode with a new high-throughput, low-cost sequencing platform that delivers the $100 genome.”
The press release goes on to state that Ultima will unleash a new era in genomics-driven discoveries by developing a “fundamentally new sequencing architecture designed to scale beyond conventional approaches, including completely different approaches to flow cell engineering, sequencing chemistry, and machine learning.”
Are we at the cusp of a revolution in genomics? Ultima Genomics’ founder and CEO, Gilad Almogy, PhD, believes so.
“Our architecture is intended for radical scaling, and the $100 genome is merely the first example of what it can deliver,” he said in the press release. “We are committed to continuously drive down the cost of genomic information until it is routinely used in every part of the healthcare system.”
From an Estimated Cost of $3 Billion to $450 in Just 30 Years!
Whole genome sequencing (WGS) has decreased dramatically in cost since research into the technology required got started in the early 1990s with the publicly-funded Human Genome Project. At that time, the cost to sequence the entire human genome was estimated at around $3 billion. Then, in 1998, John Craig Venter created Celera Genomics (now a subsidiary of Quest Diagnostics) and was the first to sequence the whole human genome (his own) and at a significantly lower cost of around $300 million.
The cost continued to drop as technology improved. In 2001, the cost to sequence the whole human genome hovered around $100 million. Twenty years later that cost had dropped to about $450/sequence, according to data compiled by the National Human Genome Research Institute (NHGRI), a division of the National Institutes of Health (NIH).
When DNA sequencer Illumina announced in 2014 the arrival of the $1,000 genome, the news was expected to put whole genome sequencing on the road to becoming routine, Forbes reported. But that prediction didn’t pan out.
Ultima Genomics’ $100 price point, however, could be game changing. It would make the cost of decoding a human genome affordable for nearly everyone and accelerate the growth of personalized medicine in clinical laboratory diagnostics.
Applied Physics versus Biological Sciences
According to GEN, Almogy brings a tech background to Ultima—his PhD is in applied physics, not the biological sciences. He founded Ultima in 2016 after serving as founder, president, and CEO at Fulfil Solutions, a manufacturer of custom automation robotics systems. At Ultima, his goal is to “unleash the same relentless scaling in sequencing” that was used to drive down the cost of computing power and transform modern life.
“Ultima is the real deal, with good technology,” Raymond McCauley, cofounder and Chief Architect at BioCurious, and Chair of Digital Biology at Singularity Group, told Singularity Hub. “They’ve been working on an Illumina killer for years.”
“We designed our new sequencing architecture to scale beyond conventional technologies, and are excited to soon make the UG 100, our first instrument using this architecture, commercially available to more customers,” said Gilad Almogy, PhD (above), Ultima Genomics’ founder and CEO, in a press release. “In the future, we aim to continuously improve our technology, further drive down costs, and increase the scale of genomic information to improve patient outcomes.” At $100/sequence, whole genome sequencing may well become commonly available to improve precision medicine diagnostics and clinical laboratory testing. (Photo copyright: Ultima Genomics.)
TechCrunch reported that Ultima’s UG100 sequencing machine and software platform can perform a complete sequencing of a human genome in about 20 hours, with precision comparable to existing options, but does so at a far lower cost per gigabase (Gb), equal to one billion base pairs.
According to the Ultima Genomics website, its breakthroughs include:
An open substrate that creates a massive, low-cost reaction surface that delivers many billions of reads while avoiding costly flow cells and complicated fluidics.
Novel scalable chemistry that combines the speed, efficiency, and read lengths of natural nucleotides with the accuracy and scalability of endpoint detection.
A revolutionary sequencing hardware that uses spinning circular wafers that enable efficient reagent use, zero crosstalk, and ultra-high-speed scanning of large surfaces.
“We may be on the brink of the next revolution in sequencing,” Beth Shapiro, DPhil, an evolutionary molecular biologist at the University of California, Santa Cruz (UCSC), told Science. Shapiro is a professor of ecology and evolutionary biology and an HHMI Investigator at UCSC and Director of Evolutionary Genomics at the UCSC Genomics Institute.
Ultima Genomics maintained a low profile since its founding six years ago. But that changed in May when it announced it had raised $600 million from multiple investors, including:
Affordable Genomics Will Lead to ‘Millions of Tests per Year’
Exact Sciences’ Chairman and CEO Kevin Conroy—whose Wisconsin-based molecular diagnostics company recently entered into a long-term supply agreement for Ultima Genomic’s NGS technologies—believes low-cost genomic sequencing will improve cancer screening and disease monitoring.
“Exact Sciences believes access to differentiated and affordable genomics technologies is critical to providing patients better information before diagnosis and across all stages of cancer treatment,” Conroy said in a press release. “Ultima’s mission to drive down the cost of sequencing and increase the use of genomic information supports our goal to provide accurate and affordable testing options across the cancer continuum. This is particularly important for applications like cancer screening, minimal residual disease, and recurrence monitoring, which could lead to millions of tests per year.”
GEN pointed out that Ultima’s 20-hour turnaround time is fast and its quality on par with its competitors, but that it is Ultima’s $1/Gb price (noted in the preprint) that will set it apart. That cost would be a fraction of Illumina’s NextSeq ($20/Gb) and Element Biosciences’ AVITI ($5/Gb).
Almogy told TechCrunch that Ultima is working with early access partners to publish more proof-of-concept studies showing the capabilities of the sequencing technique, with broader commercial deployment of the technology in 2023. Final pricing is yet to be determined, he said.
If the $100 genome accelerates the pace of medical discoveries and personalized medicine, clinical laboratory scientists and pathologists will be in ideal positions to capitalize on what the executives and investors at Ultima Genomics hope may become a revolution in whole human genome sequencing and genomics.
Two studies show the accuracy of perception-based systems in detecting disease biomarkers without needing molecular recognition elements, such as antibodies
Researchers from multiple academic and research institutions have collaborated to develop a non-conventional machine learning-based technology for identifying and measuring biomarkers to detect ovarian cancer without the need for molecular identification elements, such as antibodies.
Traditional clinical laboratory methods for detecting biomarkers of specific diseases require a “molecular recognition molecule,” such as an antibody, to match with each disease’s biomarker. However, according to a Lehigh University news release, for ovarian cancer “there’s not a single biomarker—or analyte—that indicates the presence of cancer.
“When multiple analytes need to be measured in a given sample, which can increase the accuracy of a test, more antibodies are required, which increases the cost of the test and the turnaround time,” the news release noted.
Unveiled in two sequential studies, the new method for detecting ovarian cancer uses machine learning to examine spectral signatures of carbon nanotubes to detect and recognize the disease biomarkers in a very non-conventional fashion.
“Carbon nanotubes have interesting electronic properties,” said Daniel Heller, PhD (above), in the Lehigh University news release. “If you shoot light at them, they emit a different color of light, and that light’s color and intensity can change based on what’s sticking to the nanotube. We were able to harness the complexity of so many potential binding interactions by using a range of nanotubes with various wrappings. And that gave us a range of different sensors that could all detect slightly different things, and it turned out they responded differently to different proteins.” This method differs greatly from traditional clinical laboratory methods for identifying disease biomarkers. (Photo copyright: Memorial Sloan-Kettering Cancer Center.)
Perception-based Nanosensor Array for Detecting Disease
In the Science Advances paper, the researchers described their development of “a perception-based platform based on an optical nanosensor array that leverages machine learning algorithms to detect multiple protein biomarkers in biofluids.
“Perception-based machine learning (ML) platforms, modeled after the complex olfactory system, can isolate individual signals through an array of relatively nonspecific receptors. Each receptor captures certain features, and the overall ensemble response is analyzed by the neural network in our brain, resulting in perception,” the researchers wrote.
“This work demonstrates the potential of perception-based systems for the development of multiplexed sensors of disease biomarkers without the need for specific molecular recognition elements,” the researchers concluded.
In the Nature Biomedical Engineering paper, the researchers described a fined-tuned toolset that could accurately differentiate ovarian cancer biomarkers from biomarkers in individuals who are cancer-free.
“Here we show that a ‘disease fingerprint’—acquired via machine learning from the spectra of near-infrared fluorescence emissions of an array of carbon nanotubes functionalized with quantum defects—detects high-grade serous ovarian carcinoma in serum samples from symptomatic individuals with 87% sensitivity at 98% specificity (compared with 84% sensitivity at 98% specificity for the current best [clinical laboratory] screening test, which uses measurements of cancer antigen 125 and transvaginal ultrasonography,” the researchers wrote.
“We demonstrated that a perception-based nanosensor platform could detect ovarian cancer biomarkers using machine learning,” said Yoona Yang, PhD, a postdoctoral research associate in Lehigh’s Department of Chemical and Biomolecular Engineering and co-first author of the Science Advances article, in the news release.
How Perception-based Machine Learning Platforms Work
According to Yang, perception-based sensing functions like the human brain.
“The system consists of a sensing array that captures a certain feature of the analytes in a specific way, and then the ensemble response from the array is analyzed by the computational perceptive model. It can detect various analytes at once, which makes it much more efficient,” Yang said.
“SWCNTs have unique optical properties and sensitivity that make them valuable as sensor materials. SWCNTS emit near-infrared photoluminescence with distinct narrow emission bands that are exquisitely sensitive to the local environment,” the researchers wrote in Science Advances.
“Carbon nanotubes have interesting electronic properties,” said Daniel Heller, PhD, Head of the Cancer Nanotechnology Laboratory at Memorial Sloan Kettering Cancer Center and Associate Professor in the Department of Pharmacology at Weill Cornell Medicine of Cornell University, in the Lehigh University news release.
“If you shoot light at them, they emit a different color of light, and that light’s color and intensity can change based on what’s sticking to the nanotube. We were able to harness the complexity of so many potential binding interactions by using a range of nanotubes with various wrappings. And that gave us a range of different sensors that could all detect slightly different things, and it turned out they responded differently to different proteins,” he added.
The researchers put their technology to practical test in the second study. The wanted to learn if it could differentiate symptomatic patients with high-grade ovarian cancer from cancer-free individuals.
The research team used 269 serum samples. This time, nanotubes were bound with a specific molecule providing “an extra signal in terms of data and richer data from every nanotube-DNA combination,” said Anand Jagota PhD, Professor, Bioengineering and Chemical and Biomolecular Engineering, Lehigh University, in the news release.
This year, 19,880 women will be diagnosed with ovarian cancer and 12,810 will die from the disease, according to American Cancer Society data. While more research and clinical trials are needed, the above studies are compelling and suggest the possibility that one day clinical laboratories may detect ovarian cancer faster and more accurately than with current methods.
Wearable microneedle sensors that track multiple biomarkers in interstitial fluid are finding their way into chronic disease monitoring and sample collecting for clinical laboratory testing
Wearable devices that replace finger sticks and blood draws for monitoring biomarkers of chronic diseases such as diabetes are the holy grail of non-invasive (or at least minimally invasive) technologies that collect specimens for clinical laboratory testing.
Now, in their quest for alternatives to invasive phlebotomy blood draws, engineers at University of California San Diego’s (UCSD) Center for Wearable Sensors have added their own wearable device to the mix. The scientists developed a “lab-on-the-skin” multi-tasking microneedle sensor that monitors multiple biomarkers simultaneously, according to a UCSD news release.
“This is like a complete lab on the skin,” said Joseph Wang, PhD (above), Distinguished Professor of Nanoengineering at UC San Diego and Director of UCSD’s Center of Wearable Sensors, in a news release. “It is capable of continuously measuring multiple biomarkers at the same time, allowing users to monitor their health and wellness as they perform their daily activities.” UC San Diego’s microneedle patch for monitoring biomarkers of disease certainly would be popular with patients who must regularly undergo painful blood draws for clinical laboratory testing. (Photo copyright: UC San Diego.)
Advantage of Monitoring Multiple Biomarkers in Real Time
While current glucose monitors on the market only measure glucose, the UCSD wearable device also monitors alcohol and lactate, providing other additional information to diabetics when engaged in activities that affect those biomarkers.
For example, UCSD’s microneedle sensor allows diabetics to monitor their glucose level when drinking alcohol, which can lower glucose levels. Additionally, monitoring lactate while exercising also could be beneficial since physical activity influences the body’s ability to regulate glucose.
“With our wearable, people can see the interplay between their glucose spikes or dips with their diet, exercise, and drinking of alcoholic beverages. That could add to their quality of life as well,” said Farshad Tehrani, a nanoengineering PhD graduate researcher in Wang’s lab at UCSD and one of the co-first authors of the study, in the news release.
UC San Diego’s wearable microneedle patch (above) is about the size of a stack of six quarters and simultaneously monitors glucose, alcohol, and lactate levels continuously. It affixes to the skin through a patch of microneedles each about one-fifth the width of a human hair. The microneedles barely penetrate the surface of the skin to sample biomolecules in the interstitial fluid and are not painful. The quarter-sized patch is worn on the upper arm and transmits its data to a smartphone app. The microneedle patch is disposable, and the reusable electronic case is rechargeable using an off-the-shelf wireless charging pad. (Photo copyright: Laboratory for Nanobioelectronics/UC San Diego.)
Other Microneedle Wearable Monitoring Patches
The quest for a painless alternative to in-patient blood draws for many clinical laboratory tests has been ongoing worldwide for years.
In “Researchers Develop ‘Smart’ Microneedle Adhesive Bandage System for Monitoring Sodium, Glucose, pH, and More,” Dark Daily reported on a proof-of-concept study conducted by scientists from Israel and China who developed a “smart” microneedle adhesive bandage that measures and monitors in real time three critical biomarkers that currently require invasive blood draws for medical laboratory tests commonly performed on patients in hospitals.
While further research and validation of studies are needed before UC San Diego’s wearable microneedle sensor patch can be deployed to monitor chronic diseases, it is in good company. Diabetics and other suffers of similar chronic diseases can look forward to a future where they can monitor their health conditions in real time without the need for invasive blood draws and clinical laboratory testing.
UNC’s novel way to visualize the human proteome could lead to improved clinical laboratory tests along with the development of new therapies
Diagnostic testing based on proteomics is considered to be a field with immense potential in diagnostics and therapeutics. News of a research breakthrough into how scientists can visualize protein activity within cells will be of major interest to the pathologists, PhDs, and medical laboratory scientists who specialize in clinical laboratory testing involving proteins.
Proteins are essential to all life and to the growth, maintenance, and repair of the human body. So, a thorough understanding of how they function within living cells would be essential to informed medical decision-making as well. And yet, how proteins go about doing their work is not well understood.
That may soon change. Scientists at the University of North Carolina (UNC) School of Medicine have developed an imaging method that could provide new insights into how proteins alter their shapes within living cells. And those insights may lead to the development of new therapies and medical treatments.
Dubbed “binder-tag” by the UNC scientists, their new technique “allows researchers to pinpoint and track proteins that are in a desired shape or ‘conformation,’ and to do so in real time inside living cells,” according to a UNC Health news release.
Two labs in the UNC School of Medicine’s Department of Pharmacology collaborated to develop the binder-tag technique:
“No one has been able to develop a method that can do, in such a generalizable way, what this method does. So, I think it could have a very big impact,” said lead author of the UNC study Klaus Hahn PhD (above), in the news release. “With this method we can see, for example, how microenvironmental differences across a cell affect, often profoundly, what a protein is doing,” he added. This research may enlarge scientists’ understanding of how the human proteome works and could lead to new medical laboratory tests and therapeutic drugs. (Photo copyright: UNC School of Medicine.)
How Binder-Tag Works
During their study, the UNC scientists developed binder-tag “movies” that allow viewers to see how the binder-tag technique enables the tracking of active molecules in living cells.
The technique involves two parts: a fluorescent binder and a molecular tag that is attached to the proteins of interest.
When inactive, the tag is hidden inside the protein, but when the protein is ready for action it changes shape and exposes the tag.
The binder then joins with the exposed tag and fluoresces. This new fluorescence can easily be tracked within the cell.
Nothing else in the cell can bind to the binder or tag, so they only light up when in contact on the active protein.
This type of visualization will help researchers understand the dynamics of a protein in a cell.
“The method is compatible with a wide range of beacons, including much more efficient ones than the interacting beacon pairs required for ordinary FRET [fluorescence resonance energy transfer]. Binder-tag can even be used to build FRET sensors more easily. Moreover, the binder-tag molecules were chosen so that nothing in cells can react with them and interfere with their imaging role,” Hahn said in the news release.
“Only upon exposure can the peptide specifically interact with a reporter protein (the binder). Thus, simple fluorescence localization reflects protein conformation. Through direct excitation of bright dyes, the trajectory and conformation of individual proteins can be followed,” the UNC researchers wrote in Cell. “The simplicity of binder-tag can provide access to diverse proteins.”
The UNC researchers’ binder-tag technique is a way to overcome the dire challenge of seeing tiny and hard-working proteins, Cosmos noted. Typical light microscopy does not enable a view of molecules at work. This paves the way for the new binder-tag technique, UNC pointed out.
“With this method, we can see, for example, how microenvironmental differences across a cell affect—and often profoundly—what a protein is doing,” Hahn said. “For a lot of protein-related diseases, scientists haven’t been able to understand why proteins start to do the wrong thing. The tools for obtaining that understanding just haven’t been available.”
More Proteins to Study
More research is needed before the binder-tag method can be used in diagnostics. Meanwhile, the UNC scientists intend to show how binder-tag can be applied to other protein structures and functions.
“The human proteome has between 80,000 and 400,000 proteins, but not all at one time. They are expressed by 20,000 to 25,000 human genes. So, the human proteome has great promise for use in diagnostics, understanding disease, and developing therapies,” said Robert Michel, Editor-in-Chief of Dark Daily and its sister publication The Dark Report.
Medical scientists and diagnostics professionals will want to stay tuned to discover more about the tiny—though mighty—protein’s contributions to understanding diseases and patient treatment.
Device could pave the way for real-time, noninvasive breath analysis to detect and monitor diseases and be a new service medical laboratories can offer
Breathalyzer technology is not new, but until now human breath detection devices have not been comparable to clinical laboratory blood testing for disease detection and monitoring. That may soon change and there are implications for clinical laboratories, partly because breath samples are considered to be non-invasive for patients.
Scientists with JILA, a research center jointly operated by the National Institutes of Standards and Technology (NIST) and the University of Colorado Boulder, recently increased the sensitivity of their laser frequency comb breathalyzer one thousand-fold. This created a device that can detect four disease biomarkers simultaneously, with the potential to identify six more, according to an NIST news release.
Medical laboratory scientists will understand the significance of this development. JILA’s enhanced breathalyzer device could pave the way for real-time, noninvasive breath analysis to detect and monitor diseases, and potentially eliminate the need for many blood-based clinical laboratory tests.
During their research, physicist Jun Ye, PhD, and David Nesbitt, PhD, both Fellows at JILA and professors at University of Colorado Boulder, detected and monitored four biomarkers in the breath of a volunteer:
These chemicals can be indicators of various health conditions. Methane in the breath, for example, can indicate intestinal problems.
The researchers say the JILA breathalyzer also could detect six additional biomarkers of disease without any further modifications to the device. They would include:
NIST/JILA Research Fellows Jun Ye, PhD (left), and David Nesbitt, PhD (right) of the University of Colorado Boulder, “built a breathalyzer that identifies biomarkers of disease by measuring the colors and amounts of light absorbed as a laser frequency comb passes through breath samples inside a glass tube,” according to an NIST news release. Should they succeed in creating a portable version, their noninvasive device could become an option compared to conventional clinical laboratory blood testing methods used to identify and monitor diseases. (Photos copyright: University of Colorado Boulder.)
“Determining the identity and concentration of the molecules present in breath is a powerful tool to assess the overall health of a person, analogous to blood testing in clinical medicine, but in a faster and less invasive manner,” the researchers wrote in PNAS.
“The presence of a particular molecule (or combination of molecules) can indicate the presence of a certain health condition or infection, facilitating a diagnosis. Monitoring the concentration of the molecules of interest over time can help track the development (or recurrence) of a condition, as well as the effectiveness of the administered treatment,” they added.
How the JILA Breathalyzer Detects Biomarkers
According to a 2008 NIST news release, JILA researchers had developed a prototype comb breathalyzer in that year. However, the research did not continue. But then the COVID-19 pandemic brought the JILA/NIST laboratories focus back to the breathalyzer with hopes that new research could lead to a breath test for detecting the SARS-CoV-2 coronavirus and other conditions.
“We are really quite optimistic and committed to pushing this technology to real medical applications,” Ye said in the 2021 NIST news release.
Analytical Scientist explained that JILA’s new and improved breathalyzer system “fingerprints” chemicals by measuring the amount of light absorbed as a laser frequency comb passes back and forth through breath samples loaded into a mirrored glass tube.
JILA’s original 13-year-old prototype comb analyzed colors and amounts of light in the near-infrared band. However, JILA’s recent improvements include advances in optical coatings and a shift to analyzing mid-infrared band light, allowing detection sensitivity up to parts-per-trillion level, a thousand-fold improvement over the prototype.
Corresponding study author Jutta Toscano, PhD, postdoctoral researcher at the University of Basel in Switzerland and previously Lindemann fellow at JILA, told Physics World the new frequency comb can “probe the molecular fingerprint region where fundamental, and more intense, spectroscopic transitions are found.
“By matching the frequency of the comb teeth with the cavity modes—the ‘standing modes’ of the cavity—we can increase the interaction path length between molecules inside the cavity and laser light by a factor of around 4000, equivalent to an effective path length of a few kilometers,” she added. “We then probe the light that leaks out of the cavity by sending it into an FTIR [Fourier-transform infrared] spectrometer to find out which exact comb teeth have been absorbed and by how much. In turn, this tells us which molecules are present in the breath sample and their concentration.”
Even Hippocrates Studied Breath
Ye noted in the NIST statement that JILA is the only institution that has published research on comb breathalyzers.
In their PNAS paper, the researchers wrote, “Breath analysis is an exceptionally promising and rapidly developing field of research, which examines the molecular composition of exhaled breath. … Despite its distinctive advantages of being a rapid, noninvasive technique and its long history dating back to Hippocrates, breath analysis has not yet been as widely deployed for routine diagnostics and monitoring as other methods, such as blood-based analysis.
“We have shown that this technique offers unique advantages and opportunities for the detection of light biomarkers in breath,” the researchers noted, “and it is poised to facilitate real-time, noninvasive monitoring of breath for clinical studies, as well as for early detection and long-term monitoring of temporary and permanent health conditions.”
Validation of these findings and further design research to make the system portable are required before JILA’s frequency comb breathalyzer can become a competitor to clinical laboratory blood tests for disease identification and monitoring. Nevertheless, JILA’s research brings breathalyzer technology a step closer to offering real-time, non-invasive analysis of human biomarkers for disease.
CDC asks physicians and clinical laboratories to be on the lookout and report symptoms of hepatitis to state health departments
Growing incidences of hepatitis in children are perplexing medical professionals and researchers in several countries around the world. The mysterious outbreak is occurring in otherwise healthy children and, to date, is of unknown origin, though an adenovirus may be involved.
Microbiologists and clinical laboratory scientists who perform virology testing may want to prepare for increased numbers of children presenting with hepatitis symptoms in the US.
On April 21, the Centers for Disease Control and Prevention (CDC) issued a nationwide health alert to notify the public about a cluster of children in Alabama who presented with hepatitis and adenovirus infections. The CDC asked physicians to watch for symptoms in children and to inform local and state health departments of any new suspected cases.
Also in April, the World Health Organization (WHO) issued its own alert to an outbreak of acute hepatitis of unknown etiology among young children in several countries. In addition to the United States, cases were reported in the United Kingdom, Spain, Israel, Denmark, Ireland, the Netherlands, Italy, Norway, France, Romania, and Belgium.
All the cases reported to the WHO involved children between one month and 16 years of age with the majority of cases occurring in children under five.
According to NBC News, as of May 19, the worldwide number of cases “under investigation” had reached 600 in more than 25 countries. In the US, more than 90% of the patients required hospitalization and 14% of those patients needed a liver transplant. The CDC is investigating five pediatric deaths that may be attributed to the mysterious hepatitis outbreak.
“Fifteen days ago, CDC issued a nationwide health alert to notify clinicians and public health authorities about an investigation involving nine children in Alabama identified between October of 2021 and February of 2022 with hepatitis or inflammation of the liver and adenovirus infection,” said pediatrician and epidemiologist Jay Butler, MD (above), Deputy Director for Infectious Diseases at the CDC. “We’re casting a broad net to increase our understanding,” he added. “As we learn more, we’ll share additional information and updates.” Hospital-based clinical laboratories that support emergency departments and urgent care centers with testing for hepatitis will want to monitor for upcoming CDC alerts. (Photo copyright: John Amis/AP/CNN.)
Adenovirus/SARS-CoV-2 May Be Linked to Hepatitis Outbreak
The cause of the hepatitis outbreak is as yet undetermined, but the pre-eminent theory among disease experts points to the presence of an adenovirus, which often causes cold and flu-like symptoms in addition to stomach issues.
NBC News reported that more than half of the US patients, 72% of the UK patients, and 60% of the affected patients across Europe tested positive for human adenovirus type 41. This virus, however, is generally not associated with hepatitis in healthy children, and rarely impacts the liver so severely.
Medical experts are also considering the possibility that COVID-19 infections could somehow be an underlying cause since the hepatitis outbreak occurred during the pandemic. The WHO is investigating whether exposure to the SARS-CoV-2 coronavirus might have prompted the immune systems in the infected children to react abnormally to adenoviruses that are typically non-life threatening.
“The big focus over the next week is really looking at the serological testing for previous exposure and infections with COVID,” Phillipa Easterbrook, MD, a senior scientist at the WHO headquarters in Geneva, told NBC News.
Hepatitis, or inflammation of the liver, is typically caused by heavy alcohol use, exposure to toxins, certain medical conditions and medications, or a virus.
The most recent children diagnosed with hepatitis presented with some or most of these symptoms, particularly stomach issues and fatigue. However, one symptom was present in all the children.
“The big symptom that made all of these kids different was that they all showed signs of jaundice, which is the yellowish coloration of the skin and eyes,” Markus Buchfellner, MD, a pediatric infectious disease fellow at the University of Alabama, told NBC News.
Buchfellner was the first person in the US to notice an unusual pattern of hepatitis among children. He reported his findings to the CDC last fall in 2021.
“We were able to uncover the possible association with the adenovirus 41 strain because it is our standard practice to screen patients diagnosed with hepatitis for adenovirus,” he said. “For us to dig deeper into this medical mystery and see if this strain is the cause of these severe hepatitis cases, we first need more data on how widespread the outbreak is.”
Adenovirus 41 is usually spread through fecal matter, which makes hand washing critical, especially after visits to the bathroom or diaper changes. This type of adenovirus typically presents as diarrhea, vomiting, and fever, and is often accompanied by respiratory issues.
Clinical Labs Performing Gene Sequencing Can Help
Medical scientists around the world are responding to this threat to the youngest and most vulnerable among us. Research is underway into identifying additional cases, determining what is causing the hepatitis globally among children, and establishing preventative measures.
Pathologists and clinical laboratory managers in the US will want to be on the alert for positive hepatitis tests in children whose specimens were tested at their facilities. With advances in gene sequencing that make testing economical and expeditious, more labs have the ability to not only detect hepatitis, but also to identify any genetic variants that may be associated with the increased number of pediatric hepatitis cases appearing around the world.
