Researchers surprised that process designed to detect SARS-CoV-2 also identifies monkeypox in wastewater
Early information about an outbreak in a geographical region can inform local clinical laboratories as to which infectious agents and variants they are likely to see when testing patients who have symptoms. To that end, wastewater testing has become a rich source of early clues as to where COVID-19 outbreaks are spreading and how new variants of the coronavirus are emerging.
Ongoing advances in genetic sequencing and digital technologies are making it feasible to test wastewater for infectious agents in ways that were once too time-consuming, too expensive, or simply impossible.
“Before wastewater sequencing, the only way to do this was through clinical testing, which is not feasible at large scale, especially in areas with limited resources, public participation, or the capacity to do sufficient testing and sequencing,” said Knight in a UCSD press release. “We’ve shown that wastewater sequencing can successfully track regional infection dynamics with fewer limitations and biases than clinical testing to the benefit of almost any community.” (Photo copyright: UC San Diego News.)
Same Process, Different Virus
Following August’s declaration of a state of emergency by California, San Diego County, and the federal government, UCSD researchers added monkeypox surveillance to UCSD’s existing wastewater surveillance program.
“It’s the same process as SARS-CoV-2 qPCR monitoring, except that we have been testing for a different virus. Monkeypox is a DNA virus, so it is a bit of a surprise that our process optimized for SARS-CoV-2, which is an RNA virus, works so well,” said Rob Knight, PhD, Professor of Pediatrics and Computer Science and Engineering at UCSD and one of the lead authors of the study in the press release.
According to the press release, RNA sequencing from wastewater has two specific benefits:
It avoids the potential of clinical testing biases, and
It can track changes in the prevalence of SARS-CoV-2 variants over time.
In 2020, at the height of the COVID-19 pandemic, scientists from the University of California San Diego and Scripps Research looked into genetic sequencing of wastewater. They wanted to see if it would provide insights into levels and variants of the SARS-CoV-2 within a specific community.
Individuals who have COVID-19 shed the virus in their stool.
The UCSD/Scripps researchers deployed commercial auto-sampling robots to collect wastewater samples at the main UCSD campus. They analyzed the samples for levels of SARS-CoV-2 RNA at the Expedited COVID-19 Identification Environment (EXCITE) lab at UCSD. After the success of the program on the campus, they extended their research to include other facilities and communities in the San Diego area.
“The coronavirus will continue to spread and evolve, which makes it imperative for public health that we detect new variants early enough to mitigate consequences,” said Knight in a July press release announcing the publication of their study in the journal Nature, titled, “Wastewater Sequencing Reveals Early Cryptic SARS-CoV-2 Variant Transmission.”
Detecting Pathogens Weeks Earlier than Traditional Clinical Laboratory Testing
In July, the scientists successfully determined the genetic mixture of SARS-CoV-2 variants present in wastewater samples by examining just two teaspoons of raw sewage. They found they could accurately identify new variants 14 days before traditional clinical laboratory testing. They detected the presence of the Omicron variant 11 days before it was first reported clinically in the community.
During the study, the team collected and analyzed 21,383 sewage samples, with most of those samples (19,944) being taken from the UCSD campus. They performed genomic sequencing on 600 of the samples and compared them to genomes obtained from clinical swabs. They also compared 31,149 genomes from clinical genomic surveillance to 837 wastewater samples taken from the community.
The scientists distinguished specific viral lineages present in the samples by sequencing the viruses’ complete set of genetic instructions. Mutational differences between the various SARS-CoV-2 variants can be minute and subtle, but also have notable biological deviations.
“Nothing like this had been done before. Sampling and detection efforts began modestly but grew steadily with increased research capacity and experience. Currently, we’re monitoring almost 350 buildings on campus,” said UCSD’s Chancellor Pradeep Khosla, PhD, in the July press release.
“The wastewater program was an essential element of UC San Diego Health’s response to the COVID pandemic,” said Robert Schooley, MD, Infectious Disease Specialist at UC San Diego Health, in the press release. Schooley is also a professor at UCSD School of Medicine, and one of the authors of the study.
“It provided us with real-time intelligence about locations on campus where virus activity was ongoing,” he added. “Wastewater sampling essentially allowed us to ‘swab the noses’ of every person upstream from the collector every day and to use that information to concentrate viral detection efforts at the individual level.”
Monkeypox Added to UCSD Wastewater Surveillance
In August, UCSD officially added the surveillance of the monkeypox virus to their ongoing wastewater surveillance program. A month earlier, the researchers had discerned 10,565.54 viral copies per liter of wastewater. They observed the levels fluctuating and increasing.
On August 2, the scientists detected 189,309.81 viral copies per liter of wastewater. However, it is not yet clear if the monitoring of monkeypox viral loads in wastewater will enable the researchers to accurately predict future infections or case rates.
“We don’t yet know if the data will anticipate case surges like with COVID,” Knight said in the August UCSD press release announcing the addition of monkeypox to the surveillance program. “It depends on when the virus is shed from the body relative to how bad the symptoms are that cause people to seek care. This is, in principle, different for each virus, although in practice wastewater seems to be predictive for multiple viruses.”
Utilization of genetic sequencing of wastewater sampling will continue to develop and improve. “It’s fairly easy to add new pathogens to the process,” said Smruthi Karthikeyan, PhD, an environmental engineer and postdoctoral researcher in Knight’s lab who has overseen wastewater monitoring at UC San Diego. “It’s doable on short notice. We can get more information in the same turnaround time.”
Thus, clinical laboratories engaged in testing programs for COVID-19 may soon see the addition of monkeypox to those processes.
All-of-Us program is free to participants and provides data to more than 800 research studies for cancer, COVID-19, Alzheimer’s, and other diseases; findings will lead to new biomarkers for clinical laboratory tests
It is hard to say no to free. At least that is what the National Institutes of Health (NIH) is counting on to help increase the size and diversity of its database of genetic sequences. The NIH’s All-of-Us Research Program is offering free genetic testing for all participants in the program, as well as free wearable Fitbits for those selected to provide lifestyle and behavior data.
Many pathologists and clinical laboratory managers know that this group of researchers hope to build a database of more than one million genetic sequences to better understand “how certain genetic traits affect underrepresented communities, which could greatly affect the future of customized healthcare,” CBS affiliate 8 News Now reported.
“Customized healthcare” is a euphemism for precision medicine, and genetic sequencing is increasingly playing a key role in the development of personalized diagnostics and therapeutics for cancer and other deadly diseases.
In “VA’s ‘Million Veterans Program’ Research Study Receives Its 100,000th Human Genome Sequence,” Dark Daily described how the NIH’s All-of-Us program was launched in 2018 to aid research into health outcomes influenced by genetics, environments, and lifestyle. At that time, the program had biological samples from more than 270,000 people with a goal of one million participants.
Matthew Thombs, Senior Project Manager of Digital Health Technology at Scripps Research in La Jolla, Calif., joined the All-of-Us program after losing a family member “to a condition I believe could have been managed with changes to their lifestyle,” he told 8 News Now.
“What we are building will empower researchers with the information needed to make such conclusions (about possible need to change lifestyles) and forever alter how diseases are treated,” he added. “I hope that what we are doing here will help my son grow up in a world where healthcare is more of a priority, and many of the ailments we see today are things of the past.”
Such genetic testing could discover biomarkers for future personalized clinical laboratory diagnostics and drug therapies, a key aspect of precision medicine.
The photo above shows an All-of-Us participant being prepped to provide a biological sample for genetic testing. According to Matthew Thombs, Senior Project Manager of Digital Health Technology at Scripps Research, “participants can provide as much or as little information as they like, every single data point matters.” The collected data is shared anonymously with more than 800 research studies for COVID-19, Alzheimer’s, cancer, and other diseases, 8 News Now reported. (Photo copyright: KLAS-TV.)
Scripps Research Integrates Mobile Health Technology into All-of-Us Program
A critical aspect of the NIH’s research is determining how people’s behavior combined with their genetics may predispose them to certain diseases. Nonprofit research institution Scripps Research is working with the NIH’s All of Us Research Program to enroll and collect biological samples from one million US residents.
In addition, Scripps is fitting study participants with wearable mobile health devices to capture data on their habits and lifestyles.
“Until now, the treatment and prevention of disease has been based on a ‘one-size-fits-all’ approach, with most therapeutics tailored for the ‘average patient’. However, advances in genomic sequencing, mobile health technologies, and increasingly sophisticated informatics are ushering in a new era of precision medicine. This new approach takes into account differences in people’s genes, environment, and lifestyles giving medical professionals resources to design targeted treatments and prevention strategies for the individual,” Scripps states on its website.
Can wearable fitness devices and related data contribute to research on genetics and healthcare outcomes? Scripps aims to find out. It has fitted 10,000 people in the All-of-Us program with Fitbit devices (Fitbit Charge 4 tracker or Fitbit Versa 3 smartwatch) at no cost. Since February, Scripps has distributed 10,000 Fitbit wearable devices through the All-of-Us program.
“By sharing information about their health, habits, and environment, participants will help researchers understand why people get sick or stay healthy,” the Scripps website adds.
The Scripps researchers plan to analyze how the people use the wearable devices. They are also accumulating data about participants’ physical activity, heart rate, sleep, and other health metrics and outcomes “as part of the broader All of Us program,” a Scripps news release explained.
“This is the first time All of Us is distributing devices to participants. Our goal is to better understand how participants engage during research studies in order to continually improve user experience and participation. We also expect to learn more about how wearable data may inform the personalization of healthcare,” said Julia Moore Vogel, PhD, Director of The Participant Center at the All of Us Research Program at Scripps Research, in the news release.
All-of-Us Program Records ‘Significant Progress in Participant Diversity’
As of June, the NIH has enrolled 386,000 participants into the All-of-Us program, with 278,000 consenting to all of the program’s steps. Eighty percent of biological samples in the collection are from people in communities that have been under-represented in previous biomedical research an NIH new release noted. According to the NIH, that gives the All-of-Us research program “the most diverse dataset.”
What will all this research ultimately bring to clinical laboratories? Who knows? Nevertheless, if federal institutions like the NIH and non-profit research companies like Scripps believe precision medicine is worth investing in, then the All-of-Us program is worth watching.
A diverse database of a million genetic sequences combined with lifestyle and behavioral data may lead to new and improved personalized diagnostics and drug therapies.
Experts list the top challenges facing widespread adoption of proteomics in the medical laboratory industry
Year-by-year, clinical
laboratories find new ways to use mass spectrometry to
analyze clinical specimens, producing results that may be more precise than
test results produced by other methodologies. This is particularly true in the
field of proteomics.
However, though mass spectrometry is highly accurate and
fast, taking only minutes to convert a specimen into a result, it is not fully
automated and requires skilled technologists to operate the instruments.
Thus, although the science of proteomics is advancing
quickly, the average pathology laboratory isn’t likely to be using mass
spectrometry tools any time soon. Nevertheless, medical
laboratory scientists are keenly interested in adapting mass spectrometry
to medical lab test technology for a growing number of assays.
Molly Campbell, Science Writer and Editor in Genomics, Proteomics, Metabolomics, and Biopharma at Technology Networks, asked proteomics experts “what, in their opinion, are the greatest challenges currently existing in proteomics, and how can we look to overcome them?” Here’s a synopsis of their answers:
Lack of High Throughput Impacts Commercialization
Proteomics isn’t as efficient as it needs to be to be
adopted at the commercial level. It’s not as efficient as its cousin genomics. For it to become
sufficiently efficient, manufacturers must be involved.
John Yates
III, PhD, Professor, Department of Molecular Medicine at Scripps Research California
campus, told Technology
Networks, “One of the complaints from funding agencies is that you can
sequence literally thousands of genomes very quickly, but you can’t do the same
in proteomics. There’s a push to try to increase the throughput of proteomics
so that we are more compatible with genomics.”
For that to happen, Yates says manufacturers need to
continue advancing the technology. Much of the research is happening at
universities and in the academic realm. But with commercialization comes
standardization and quality control.
“It’s always exciting when you go to ASMS [the conference for the American Society
for Mass Spectrometry] to see what instruments or technologies are going to be
introduced by manufacturers,” Yates said.
There are signs that commercialization isn’t far off. SomaLogic, a privately-owned American protein
biomarker discovery and clinical diagnostics company located in Boulder, Colo.,
has reached the commercialization stage for a proteomics assay platform called SomaScan. “We’ll be
able to supplant, in some cases, expensive diagnostic modalities simply from a
blood test,” Roy
Smythe, MD, CEO of SomaLogic, told Techonomy.
The graphic above illustrates the progression mass spectrometry took during its development, starting with small proteins (left) to supramolecular complexes of intact virus particles (center) and bacteriophages (right). Because of these developments, today’s medical laboratories have more assays that utilize mass spectrometry. (Photo copyright: Technology Networks/Heck laboratory, Utrecht University, the Netherlands.)
Achieving the Necessary Technical Skillset
One of the main reasons mass spectrometry is not more widely
used is that it requires technical skill that not many professionals possess.
“For a long time, MS-based proteomic analyses were technically demanding at
various levels, including sample processing, separation science, MS and the
analysis of the spectra with respect to sequence, abundance and
modification-states of peptides and proteins and false discovery rate
(FDR) considerations,” Ruedi
Aebersold, PhD, Professor of Systems Biology at the Institute of Molecular Systems Biology (IMSB) at
ETH Zurich, told Technology
Networks.
Aebersold goes on to say that he thinks this specific
challenge is nearing resolution. He says that, by removing the problem created
by the need for technical skill, those who study proteomics will be able to
“more strongly focus on creating interesting new biological or clinical
research questions and experimental design.”
Yates agrees. In a paper titled, “Recent Technical Advances in
Proteomics,” published in F1000 Research, a peer-reviewed open research
publishing platform for scientists, scholars, and clinicians, he wrote, “Mass
spectrometry is one of the key technologies of proteomics, and over the last
decade important technical advances in mass spectrometry have driven an
increased capability of proteomic discovery. In addition, new methods to
capture important biological information have been developed to take advantage
of improving proteomic tools.”
No High-Profile Projects to Stimulate Interest
Genomics had the Human Genome Project
(HGP), which sparked public interest and attracted significant funding. One of
the big challenges facing proteomics is that there are no similarly big,
imagination-stimulating projects. The work is important and will result in
advances that will be well-received, however, the field itself is complex and difficult
to explain.
Emanuel
Petricoin, PhD, is a professor and co-director of the Center for Applied
Proteomics and Molecular Medicine at George
Mason University. He told Technology
Networks, “the field itself hasn’t yet identified or grabbed onto a
specific ‘moon-shot’ project. For example, there will be no equivalent to the
human genome project, the proteomics field just doesn’t have that.”
He added, “The equipment needs to be in the background and
what you are doing with it needs to be in the foreground, as is what happened
in the genomics space. If it’s just about the machinery, then proteomics will
always be a ‘poor step-child’ to genomics.”
Democratizing Proteomics
Alexander
Makarov, PhD, is Director of Research in Life Sciences Mass Spectrometry
(MS) at Thermo Fisher
Scientific. He told Technology
Networks that as mass spectrometry grew into the industry we have today,
“each new development required larger and larger research and development teams
to match the increasing complexity of instruments and the skyrocketing
importance of software at all levels, from firmware to application. All this
extends the cycle time of each innovation and also forces [researchers] to
concentrate on solutions that address the most pressing needs of the scientific
community.”
Makarov describes this change as “the increasing democratization of MS,” and says that it “brings with it new requirements for instruments, such as far greater robustness and ease-of-use, which need to be balanced against some aspects of performance.”
One example of the increasing democratization of MS may be
several public proteomic datasets available to scientists. In European
Pharmaceutical Review, Juan
Antonio Viscaíno, PhD, Proteomics Team Leader at the European Bioinformatics Institute (EMBL-EBI)
wrote, “These datasets are increasingly reused for multiple applications, which
contribute to improving our understanding of cell biology through proteomics
data.”
Sparse Data and Difficulty Measuring It
Evangelia
Petsalaki, PhD, Group Leader EMBL-EBI, told Technology
Networks there are two related challenges in handling proteomic data.
First, the data is “very sparse” and second “[researchers] have trouble
measuring low abundance proteins.”
Petsalaki notes, “every time we take a measurement, we
sample different parts of the proteome or phosphoproteome and
we are usually missing low abundance players that are often the most important
ones, such as transcription
factors.” She added that in her group they take steps to mitigate those
problems.
“However, with the advances in MS technologies developed by
many companies and groups around the world … and other emerging technologies
that promise to allow ‘sequencing’ proteomes, analogous to genomes … I expect
that these will not be issues for very long.”
So, what does all this mean for clinical laboratories? At the
current pace of development, its likely assays based on proteomics could become
more common in the near future. And, if throughput and commercialization ever
match that of genomics, mass spectrometry and other proteomics tools could
become a standard technology for pathology laboratories.
Silicon Valley startup is using gene sequencing to identify in the bloodstream free-floating genetic material shed by tumors
There has been plenty of excitement about the new diagnostic technologies designed to identify circulating tumor cells in blood samples. Now, a well-funded Silicon Valley startup has developed a blood test that it says holds promise for detecting early-stage lung and other cancers.
Though experimental, the screening test—which uses gene sequencing to identify in the bloodstream cancer-signaling genetic material shed by tumors—would be a boon for clinical laboratories and health networks. It also could play a role in advancing precision medicine treatments and drug therapies.
GRAIL, a Menlo Park, Calif., life sciences company, presented its initial findings at the 2018 American Society of Clinical Oncology Annual Meeting in Chicago. Its lung cancer data is part of GRAIL’s ongoing Circulating Cell-Free Genome Atlas (CCGA) study, which aims to enroll 15,000 participants and investigate 20 different types of cancers.
“We’re excited that the initial results for the CCGA study show it is possible to detect early-state lung cancer from blood samples using genome sequencing,” said lead study author Geoffrey Oxnard, MD, Dana-Farber Cancer Institute and Associate Professor of Medicine at Harvard Medical School, in a Dana-Farber news release.
“There is an unmet need globally for early-detection tests for lung cancer that can be easily implemented by healthcare systems,” lead study author Geoffrey Oxnard, MD (above), said in the Dana-Farber news release. “These are promising early results and the next steps are to further optimize the assays and validate the results in a larger group of people.” (Photo copyright: Dana-Farber Cancer Institute.)
According to the news release, researchers in this initial analysis explored the ability of three different prototype sequencing assays, each with 98% specificity, to detect lung cancer in blood samples:
Whole-genome bisulfite sequencing (WGBS) detected 41% of early-stage (stage 1-3A) lung cancers and 89% of late-stage (stage 3B-4) lung cancers;
Whole-genome sequencing (WGS) detected 38% of early-stage cancers and 87% of late-stage cancers; and,
Targeted sequencing detected 51% of early-stage cancers and 89% of late-stage cancers.
“The initial results showed that all three assays could detect lung cancer with a low rate of false positives (in which a test indicates a person has cancer when there is no cancer),” the Dana-Farber news release noted.
Identifying Disease Risk Before Symptoms Appear
Screening tests help identify individuals who are not displaying disease symptoms but may be at high risk for developing a disease. GRAIL’s goal is to develop a test with a specificity of 99% or higher. This means no more than one out of 100 people would receive a false-positive.
Otis Brawley, MD, Chief Medical and Scientific Officer at the American Cancer Society, points out that specificity is important when developing a population-based screening test that ultimately would be given to large portions of the general public based on age, medical history, or other factors.
“I am much more concerned about specificity than sensitivity [true positive rate], and [GRAIL] exhibited extremely high specificity,” Brawley told Forbes. “You don’t want a lot of false alarms.”
Some cancer experts have a wait-and-see reaction to GRAIL’s initial results, due in part to the small sample size included in the sub-study. Benjamin Davies, MD, Associate Professor of Urology at the University of Pittsburgh School of Medicine, and an expert on prostate cancer screening, told Forbes the early data was “compelling,” but the number of patients in the study was too small to generate excitement.
Oxnard, however, believes the initial results validate the promise of GRAIL’s blood screening test project.
“I was a skeptic two years ago,” Oxnard, a GRAIL consultant, told Forbes. “I think these data need to put a lot of the skepticism to rest. It can be done. This is proof you can find cancer in the blood, you can find advanced cancer, therefore this has legs. This has a real future. It’s going to be many steps down the line, but this deserves further investigation and should move forward.”
Next Steps
Researchers next plan to verify the initial results in an independent group of 1,000 CCGA participants as part of the same sub-study. They then will attempt to optimize the assays before validating them in a larger data set from CCGA, the Dana-Farber news release explained.
Illumina, a sequencing-technology developer, formed GRAIL in 2016, with participating investments from Bill Gates, Bezos Expeditions and Sutter Hill Ventures. Since then, GRAIL has attracted other high-flying investors, including Amazon, Merck, Johnson and Johnson, and Bristol-Myers Squibb.
Forbes notes that as of 2018 GRAIL has raised $1.6 billion in venture capital and has a $3.2 billion valuation, according to private market data firm Pitchbook. Last year, GRAIL merged with Hong Kong-based Cirina Ltd., a privately held company also focused on the early detection of cancer.
While GRAIL’s projects hold promise, anatomic pathologists and clinical laboratories may be wise to temper their enthusiasm until more research is done.
“We all would like to dream that someday you’d be able to diagnose cancer with a blood test,” Eric Topol, MD, Executive Vice President and Professor of Molecular Medicine at Scripps Research, told Forbes. Topol says he’s “encouraged” by GRAIL’s methodical approach, but warns: “We’re at the earliest stage of that.”
