Goal is to demonstrate how whole human genome sequencing of newborns can deliver important diagnostic findings associated with 250 genetic conditions
Clinical laboratory testing and genetics are moving closer to the delivery room than ever before. In the largest study of its kind in North America, genomic scientists plan to supplement traditional screening for inherited diseases—traditionally performed on a blood sample taken shortly after birth—with whole genome sequencing (WGS) on 100,000 newborns in New York City during their first five years of life, LifeSciencesIntelligence reported.
Conducted by genetic scientists at NewYork-Presbyterian (NYP) and Columbia University, in collaboration with genetic company GeneDx, a wholly-owned subsidiary of health intelligence company Sema4 (NASDAQ:SMFR), the genetic research study, called GUARDIAN (Genomic Uniform-screening Against Rare Diseases In All Newborns), will screen newborn babies for 250 rare diseases that are generally not tested for.
The GUARDIAN program will “drive earlier diagnosis and treatment to improve the health of the babies who participate, generate evidence to support the expansion of newborn screening through genomic sequencing, and characterize the prevalence and natural history of rare genetic conditions,” according to a Sema4 news release.
“The appetite for this is growing. The awareness of this is growing. We all see it as inevitable,” medical geneticist Robert Green, MD, at Brigham and Women’s Hospital and Harvard Medical School told USA Today. “We are grossly underutilizing the life-saving benefits of genetics and we have to get past that.” Clinical laboratory leaders understand the value of early detection of disease and subsequent early treatment. (Photo copyright: Harvard Medical School.)
Improving Health of Babies Through Early Detection of Disease
GUARDIAN aims to use WGS to identify conditions at birth that can affect long-term health and subsequently enhance treatment options and possibly prevent disability or death.
The 250 different diseases GUARDIAN will be screening for typically strike young children. They are mostly rare conditions that:
have an onset before five years of age,
have a greater than 90% probability of the condition developing based on the genetic result,
have effective approaches and treatments that are already available, and/or
have a well-established natural history of the condition.
“We’re entering the therapeutic era and leaving the diagnostic era,” Paul Kruszka, MD, Chief Medical Officer at GeneDx told USA Today. “This potentially has the opportunity to change the way we practice medicine, especially in rare disease.”
Some Parents Reluctant to Agree to Genetic Testing
Green and his research team first began analyzing the genetic sequences of newborns back in 2013. They believe the costs of performing infant WGS is worthwhile because it can improve lives. However, Green also recognizes that some parents are reluctant to agree to this type of genetic testing due to concerns regarding privacy and the fear of discovering their baby may have an illness.
“You’ve gone through all this pregnancy and you’re sitting there with a healthy baby (and I’m) offering you the opportunity to find out something that’s devastating and terrifying,” he told USA Today. “How fun is that?”
Green continued. “We can respect people who don’t want to know, but also respect people who do want to know. Some families will say ‘I treasure the precious ignorance.’ Others will say ‘If I could have known, I would have poured my heart and soul into clinical trials or spent more time with the child when she was healthy.’”
WGS Screening Identifies Undiagnosed Illnesses in Newborn’s Family
The scientists also found that performing WGS in newborns can detect diseases in the infants as well as unknown illnesses in the families of those babies. According to Kruszka, many parents often seek a diagnosis for a rare disease present in their children for several years. Since many common diseases develop as a result of certain combinations of genes, if illnesses are diagnosed at birth, it could extradite the treatment process, prevent complications, and provide better health outcomes for patients.
“We are relentlessly focused on accelerating the adoption and use of genomic information to impact the lives of as many people as possible, particularly newborns and children,” said Katherine Stueland, President and CEO, Sema4, in the Sema4 news release. “As the first commercial laboratory to launch a rapid whole genome sequencing offering, to address broad unmet needs for early diagnosis, participation in this study is an important step forward for healthcare and in delivering on our goal to sequence once, analyze forever.”
The study is open to all babies in New York City who are born in a health system that participates in the GUARDIAN program, regardless of their race, income, or health insurance coverage.
“The results from this study will help us understand the true impact sequencing at birth can have on newborns and their families in comparison to the current standard of care, particularly as we’ll evaluate clinical outcomes in addition to the psychosocial effect on families,” said Kruszka in the Sema4 news release.
Anything that improves the health of newborn babies is a good thing. Regardless of the cost, if DNA analysis can give newborns and their families a better chance at detecting inherited diseases early while clinical laboratory treatment could make a difference, it is worth pursuing.
Regulators and lawmakers are considering proposed changes to CLIA and PAMA involving medical laboratory services
Clinical laboratories and pathology groups should monitor a series of federal regulatory developments underway this fall. The proposals and documents will potentially affect how lab managers and staff do their jobs and how much Medicare reimbursement medical laboratories receive for certain diagnostic tests next year.
Among the initiatives under consideration are the following:
Below are details about these laboratory-related federal bills and regulatory documents that observant laboratory managers will want to track in the coming months.
“Clinical laboratories need to make sure that they have proper requisitions and documentation for genetic testing that involves telemedicine.” Danielle Tangorre, JD (above), a partner at law firm Robinson and Cole LLP in Albany, NY, told Dark Daily. (Photo copyright: Robinson and Cole LLP.)
CLIA Fee Increases and Testing Personnel Changes
The federal Centers for Medicare and Medicaid Services (CMS) is examining fee and personnel changes for CLIA. Officials from CMS are reviewing public comments on the proposal ahead of publishing a final rule.
Among other changes, the proposal would:
Institute a 20% across-the-board increase on existing fees.
Establish a biennial increase of CLIA fees for follow-up surveys, substantiated complaint surveys, and revised certificates.
Add doctoral, master’s, and bachelor’s degrees in nursing to qualify testing personnel for high and moderate complexity testing.
“The Practitioner does not have sufficient contact with or information from the purported patient to meaningfully assess the medical necessity of the items or services ordered or prescribed.
“The Telemedicine Company compensates the Practitioner based on the volume of items or services ordered or prescribed, which may be characterized to the Practitioner as compensation based on the number of purported medical records that the Practitioner reviewed.
“The Telemedicine Company only furnishes items and services to Federal health care program beneficiaries and does not accept insurance from any other payor.
“The Telemedicine Company does not expect Practitioners (or another Practitioner) to follow up with purported patients nor does it provide Practitioners with the information required to follow up with purported patients (e.g., the Telemedicine Company does not require Practitioners to discuss genetic testing results with each purported patient).”
And more.
“In the telehealth space, the issue the OIG has flagged is that genetic tests are being ordered without patient interaction or with only brief telephonic conversations,” Danielle Tangorre, JD, a partner at law firm Robinson & Cole LLP in Albany, N.Y., told Dark Daily.
New Bill May Eliminate 2023 Medical Laboratory Payment Cuts Under PAMA
Medical labs and pathology groups face payment cuts of up to 15% for 800 lab tests on the Medicare Clinical Lab Fee Schedule (CLFS) on Jan. 1, 2023, as part of PAMA.
The bill proposes to move regulatory oversight of LDTs from CLIA to the federal Food and Drug Administration (FDA). Champions of the bill argue that FDA regulation is needed for in vitro clinical tests (IVCTs) because they are similar to medical devices and bring with them patient safety concerns.
The bill seemed ready for a Senate vote over the summer but stalled. On Sept. 30, Congress passed a short-term resolution to keep the federal government funded. During negotiation, the VALID Act was removed from the larger spending package, according to Boston law firm Ropes and Gray.
Expect discussion to renew in Congress about the VALID Act after the mid-term elections.
Clinical laboratory leaders and pathology group managers will want to closely monitor the progress of these four federal legislative and regulatory developments. Each of the possible actions described above would significantly change the status quo in the compliance requirements and reimbursement arrangements for both clinical laboratory testing and anatomic pathology services.
Proof-of-concept study ‘highlights that using AI to integrate different types of clinically informed data to predict disease outcomes is feasible’ researchers say
Artificial intelligence (AI) and machine learning are—in stepwise fashion—making progress in demonstrating value in the world of pathology diagnostics. But human anatomic pathologists are generally required for a prognosis. Now, in a proof-of-concept study, researchers at Brigham and Women’s Hospital in Boston have developed a method that uses AI models to integrate multiple types of data from disparate sources to accurately predict patient outcomes for 14 different types of cancer.
The process also uncovered “the predictive bases of features used to predict patient risk—a property that could be used to uncover new biomarkers,” according to Genetic Engineering and Biotechnology News (GEN).
Should these research findings become clinically viable, anatomic pathologists may gain powerful new AI tools specifically designed to help them predict what type of outcome a cancer patient can expect.
“Experts analyze many pieces of evidence to predict how well a patient may do. These early examinations become the basis of making decisions about enrolling in a clinical trial or specific treatment regimens,” said Faisal Mahmood, PhD (above) in a Brigham press release. “But that means that this multimodal prediction happens at the level of the expert. We’re trying to address the problem computationally,” he added. Should they be proven clinically-viable through additional studies, these findings could lead to useful tools that help anatomic pathologists and clinical laboratory scientists more accurately predict what type of outcomes cancer patient may experience. (Photo copyright: Harvard.)
AI-based Prognostics in Pathology and Clinical Laboratory Medicine
The team at Brigham constructed their AI model using The Cancer Genome Atlas (TCGA), a publicly available resource which contains data on many types of cancer. They then created a deep learning-based algorithm that examines information from different data sources.
Pathologists traditionally depend on several distinct sources of data, such as pathology images, genomic sequencing, and patient history to diagnose various cancers and help develop prognoses.
For their research, Mahmood and his colleagues trained and validated their AI algorithm on 6,592 H/E (hematoxylin and eosin) whole slide images (WSIs) from 5,720 cancer patients. Molecular profile features, which included mutation status, copy-number variation, and RNA sequencing expression, were also inputted into the model to measure and explain relative risk of cancer death.
The scientists “evaluated the model’s efficacy by feeding it data sets from 14 cancer types as well as patient histology and genomic data. Results demonstrated that the models yielded more accurate patient outcome predictions than those incorporating only single sources of information,” states a Brigham press release.
“This work sets the stage for larger healthcare AI studies that combine data from multiple sources,” said Faisal Mahmood, PhD, Associate Professor, Division of Computational Pathology, Brigham and Women’s Hospital; and Associate Member, Cancer Program, Broad Institute of MIT and Harvard, in the press release. “In a broader sense, our findings emphasize a need for building computational pathology prognostic models with much larger datasets and downstream clinical trials to establish utility.”
Future Prognostics Based on Multiple Data Sources
The Brigham researchers also generated a research tool they dubbed the Pathology-omics Research Platform for Integrative Survival Estimation (PORPOISE). This tool serves as an interactive platform that can yield prognostic markers detected by the algorithm for thousands of patients across various cancer types.
The researchers believe their algorithm reveals another role for AI technology in medical care, but that more research is needed before their model can be implemented clinically. Larger data sets will have to be examined and the researchers plan to use more types of patient information, such as radiology scans, family histories, and electronic medical records in future tests of their AI technology.
“Future work will focus on developing more focused prognostic models by curating larger multimodal datasets for individual disease models, adapting models to large independent multimodal test cohorts, and using multimodal deep learning for predicting response and resistance to treatment,” the Cancer Cell paper states.
“As research advances in sequencing technologies, such as single-cell RNA-seq, mass cytometry, and spatial transcriptomics, these technologies continue to mature and gain clinical penetrance, in combination with whole-slide imaging, and our approach to understanding molecular biology will become increasingly spatially resolved and multimodal,” the researchers concluded.
Anatomic pathologists may find the Brigham and Women’s Hospital research team’s findings intriguing. An AI tool that integrates data from disparate sources, analyzes that information, and provides useful insights, could one day help them provide more accurate cancer prognoses and improve the care of their patients.
Clinical laboratories and pathology groups can benefit from knowing how genetic testing is being used for other than medical testing purposes
It is useful for pathologists and clinical laboratory managers to be aware of the different ways genetic testing and DNA sequencing is being conducted. That’s because a genetic test for one purpose—such as identifying an individual’s relatives and connection to a region or a cultural group—might generate data that could become part of that person’s medical care.
Thus, an ongoing genetic study in South Africa highlighting the issue of so-called “helicopter research” will be informative for Dark Daily’s readers.
Also known as “neo-colonial science,” helicopter research describes when scientists from wealthy countries perform research in lower-income countries in ways that may be deemed exploitative or disrespectful to local populations.
“Scientists conduct helicopter research when they collect data from developing countries and marginalized communities with little to no involvement from local researchers and community members,” wrote researchers Dana Al-Hindi, and Brenna Henn PhD, in an article for The Conversation. “Helicopter research also occurs when researchers take data out of the country they collected it from without either providing benefit to or sharing the results with the community.”
In an article for The Conversation, UC Davis researchers Brenna Henn, PhD (left), and Dana Al-Hindi (right), wrote, “While we have learned a great deal from these communities, we have been unable to fulfill a common request: providing them their individual genetic ancestry result. In our attempts to overcome the logistical challenges of providing this information, we’ve grappled with the common question of how to ensure an equitable balance of benefits between researchers and the community they study. What we’ve found is that there is no easy answer.” Clinical laboratories will want to remember the term “Helicopter Research” in relation to these types of studies. (Photos copyright: UC Davis/The Conversation.)
The South Africa study, conducted over the past 12 years, aims to use genetic data “to help unravel the history and prehistory of southern Africans and their relationship to populations around the world,” the authors wrote in The Conversation.
The researchers have been using the genetic data to trace the ancestry of indigenous Khoekhoe and San peoples in South Africa as well as other populations that self-identify as “Colored.”
“Early European colonizers initially used this term to refer to indigenous Khoekhoe and San groups long before it was codified by the apartheid government in 1948,” the researchers wrote. “It persists today as an ethnic category, broadly encompassing Khoe-San groups, various East African, Indian, and Southeast Asian populations brought by the slave trade, and people of mixed ancestry.”
Challenges Sharing Genetic Data with Study Participants
Participants in the study have asked to see their personal genetic ancestry results, but the researchers noted several challenges, including local restrictions and the difficulty of presenting complex data in “an accessible and digestible form.” So, the researchers partnered with consumer-focused genetic testing company 23andMe (NASDAQ:ME).
23andMe provided additional funding for the research, assisted the researchers in community outreach, and “expanded our ability to ‘capacity-build’—that is, to make sure that the knowledge and skills we gain are shared with local institutions,” Henn and Al-Hindi wrote in The Conversation. They added that they are still dealing with questions about whether their efforts to provide equitable benefits are sufficient.
“Our research team, local collaborators, and 23andMe are all concerned about how to best address the risk of helicopter research, coercion, and any unknown risks that may arise from disclosing personal ancestry results,” they wrote.
Cape Town Statement on Fostering Research Integrity
The issue of helicopter research was a major focus at the 7th World Conference on Research Integrity (WCRI), held May 29-June 1 in Cape Town, South Africa. It was the first WCRI to be held in Africa and adopted the theme “Fostering Research Integrity in an Unequal World.”
One outcome of the conference will be an effort to produce what is known as the Cape Town Statement on Fostering Research Integrity. The statement will “highlight the importance of fairness in international research partnerships,” noted Research Professional News.
The statement “compels institutions and researchers alike to act on their responsibilities to promote equity, diversity, and fairness in research partnerships,” conference speaker Retha Visagie, DCur, told the publication. She leads the Research Integrity Office at the University of South Africa.
Conference co-chair Lyn Horn, PhD, director the Office of Research Integrity at the University of Cape Town, told the publication that it could take up to a year before a draft of the statement is ready for comment.
One overarching goal will be to “demonstrate why inequity and unfair practices in research collaborations and contexts is a research integrity (RI) matter,” the authors wrote. “Second it must identify some key values or principles and action guides that will address the issue of equity and fairness in research within the context of the complete research life cycle from research agenda setting and call to proposal development, through grant application, allocation and management of funding, data production, analysis, management and sharing, to outputs, translation, and evaluation.”
Another conference speaker, Francis Kombe PhD, told attendees the statement will offer guidance specifically to institutions such as universities, journals, and funding organizations, the journal Science reported. That stands in contrast to earlier statements on helicopter research, which were geared more toward individuals and small groups.
How any of this will impact clinical laboratories and pathology groups remains unclear. Nevertheless, it is worthwhile knowing how gene sequencing is being used by researchers for purposes other than to guide diagnoses and treatment of patients.
Though only in early stages, findings could lead to a ‘therapeutic against current and newly-arising variants,’ say researchers
As SARS-CoV-2 changes and mutates, some therapeutic antibodies that were once highly effective in fighting the virus have lost potency. But now, in a proof-of-concept study, researchers from Boston Children’s Hospital have identified one antibody that neutralizes all known variants of the coronavirus, including the omicron variant. Microbiologists and clinical laboratory managers will find this intriguing, as most medical labs perform serology testing for SARS-CoV-2 antibodies.
The new antibody appears to be robust. It triggers several other types of antibodies as part of the immune response. If validated by further research, this discovery, the researchers state, may lead to new vaccines, better therapies, and improved treatments for COVID-19.
“We hope that this humanized antibody will prove to be as effective at neutralizing SARS-CoV-2 in patients as it has proven to be thus far in preclinical evaluations,” said geneticist Frederick Alt, PhD, Director of the Program in Cellular and Molecular Medicine at Boston Children’s Hospital and one of the leaders of the research. Clinical laboratories that perform serology testing for COVID-19 will be intrigued by this new line of research. (Photo copyright: PR Newswire.)
SP1-77 Antibody Outperforms All Others at Neutralizing SARS-CoV-2
To conduct their research, the team used genetically modified mice that basically have built-in human immune systems. These mice were originally utilized for seeking out antibodies to HIV, another virus that tends to mutate. Their immune systems can mimic what human immune systems encounter when a viral invader attacks.
The scientists inserted two human gene segments into the mice, which quickly produced antibodies resembling those made by humans. The mice were then exposed to the SARS-CoV-2 spike protein from the original coronavirus strain. The scientists found that the mice produced nine different families of antibodies that could bind to the spike protein.
The researchers then tested the effectiveness of those antibodies and found that three of the nine antibody families strongly neutralized the original SARS-CoV-2 coronavirus. In addition, one of the antibody families—dubbed SP1-77—was much more powerful and could neutralize the Alpha, Beta, Gamma, Delta, and all known Omicron strains of the SARS-CoV-2 virus.
New Monoclonal Antibody Products and Vaccines
If their findings are validated through further research, SP1-77 “would have potential to be a therapeutic against current and newly-arising variants of concern” according to the Science Immunology study. It also could be useful as part of a cocktail containing other antibody treatments for COVID-19 variants.
“SP1-77 binds the spike protein at a site that so far has not been mutated in any variant, and it neutralizes these variants by a novel mechanism,” said Tomas Kirchhausen, PhD, Senior Investigator, Program in Cellular and Molecular Medicine at Boston Children’s Hospital and one of the authors of the study in a statement announcing the study findings. “These properties may contribute to its broad and potent activity,” he added.
“This is very early-stage proof-of-concept work to illustrate that broadly neutralizing antibodies can be generated using a mouse model,” Amesh Adalja, MD, an infectious disease expert and senior scholar at the Johns Hopkins Center for Health Security, told Prevention. “Such work, if replicated and expanded, could form the basis of new monoclonal antibody products as well as a vaccine.”
The researchers have applied for a patent for the SP1-77 antibody as well as the mouse model they used to create it. Studies on the antibody are ongoing and have only been performed on mice and not humans. The scientists intend to execute further research on the innovative antibody and hope it will someday be used to help fight the COVID-19 virus and all its variants.
“We’d love to have a vaccine that is active against all circulating variants, including those yet to come,” Thomas Russo, MD, Professor and Chief of Infectious Disease, Department of Medicine, University at Buffalo told Prevention. “It’s the holy grail of vaccines.”
Microbiologists and clinical laboratories working with monoclonal antibodies to treat for COVID-19 infections will no doubt want to follow the Boston Children’s Hospital research closely as it may lead to new treatments and vaccines.
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.
