Similar health monitoring devices have been popular with chronic disease patients and physicians who treat them; this technology may give clinical laboratories a new diagnostic tool
There is an ever-increasing number of companies working to develop lab testing technologies that would be used outside of the traditional clinical laboratory. One such example is Nutromics, an Australia-based medical technology company which recently announced it has raised US $14 million to fund its new lab-on-a-patch platform, according to a company press release.
Nutromics’ lab-on-a-patch device “uses DNA sensor technology to track multiple targets in the human body, including disease biomarkers and hard-to-dose drugs,” according to MobiHealthNews. Notably, Nutromics’ technology uses interstitial fluid as the sample source.
Nutromics raised $4 million last year to support a manufacturing facility and an initial human clinical trial of its “continuous molecular monitoring (CMM) platform technology that is able to track multiple targets in the human body via a single wearable sensor. The platform provides real-time, continuous molecular-level insights for remote patient monitoring and hospital-at-home systems,” MobiHealthNews reported.
“We are aiming to cause a paradigm shift in diagnostic healthcare by essentially developing a lab-on-a-patch. A lack of timely and continuous diagnostic insights can strongly impact outcomes when dealing with critical disease states. With this strategic industry and VC (venture capital) investment in us, we see more confidence in our technology and hope to accelerate our growth,” said entrepreneur and chemical engineer Peter Vranes (above), co-founder and CEO of Nutromics, in a press release. Clinical laboratory leaders have watched similar biometric monitoring devices come to fruition. (Photo copyright: Nutromics.)
.
How Nutromics’ Lab-on-a-Patch Works
“Our technology is, in fact, two technologies coming together—a marker and needle. What that does is give us access to fluid under your skin called interstitial fluid. If you’re going to measure something continuously, that’s a really good fluid [to measure],” Vranes told Outcomes Rocket.
Vranes calls the system’s aptamer-based sensor platform technology the “jewel in the crown.” An aptamer is a short sequence of artificial DNA or RNA that binds a specific target molecule. Nutromics’ aptamer sensor, Vranes said, enables targeting of analytes, unlike continuous glucose monitors (CGMs).
“[CGMs] are limited to metabolites—things that are already in the body like glucose and lactate. We’re not limited to those. We can do a whole range of different targets. And what that gives us is a ‘blue ocean’ opportunity to go in and solve problems in areas that other technologies just can’t solve,” Vranes said.
Nutromics plans to develop multiple aptamer-based sensors that measure a variety of analytes in interstitial fluid, Medtech Insight noted.
Nutromics’ wearable DNA sensor lab-on-a-patch technology (above) enables monitoring of multiple targets, including disease biomarkers and some medications, MobiHealthNews explained. The wearable patch contains microneedles that painlessly access interstitial fluid under the skin. Collected data is wirelessly transmitted to a software application and integrates with consumer health software and provider platforms, according to Nutromics. Medical laboratories could have a role in collecting this data and adding it other test results from patients using the wearable patch. (Photo copyright: Nutromics.)
Initial Launch Will Include Antibiotic Monitoring
Nutromics expects to initially launch therapeutic monitoring of vancomycin, a glycopeptide antibiotic medication used to treat various bacterial infections. The company says 60% of doses for this prescription antibiotic are not within therapeutic range.
“Interstitial fluid originates in the blood and then leaks out of capillaries to bring nutrients to cells in the body’s tissues. Because interstitial fluid is in direct communication with the cells, it should have information about the tissues themselves beyond what can be measured from testing the blood,” said Mark Prausnitz, PhD, Regents Professor and J. Erskine Love Jr. Chair, Georgia Tech School of Chemical and Biomolecular Engineering, in a 2020 news release announcing results of human trials of microneedle-based ISF sampling.
“We sampled interstitial fluid from 21 human participants and identified clinically relevant and sometimes distinct biomarkers in interstitial fluid when compared to companion plasma samples based on mass spectrometry analysis,” the scientists wrote.
Clinical laboratory leaders and pathologists will find it useful to monitor the development of diagnostics for use outside the lab. Nutromics is an example of a company developing wearable health technology that painlessly gathers data for lab tests to be conducted in point-of-care and near-patient settings.
PRESS RELEASE FOR IMMEDIATE RELEASE THE DARK REPORT21806 Briarcliff Dr.Spicewood, TX 78669512-264-7103 o512-264-0969 f Media Contact: Bill Sinagrainfo@darkreport.com Free Webinar: Pharmacogenomics: Leveraging Capacity to Expand Your Molecular Laboratory Capabilities AUSTIN, TEXAS (September 29, 2022) – A new, free Dark Daily webinar will help laboratories discover how to expand into pharmacogenomics (PGx) and learn about the importance of genetics and laboratory services in medication...
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.
Genomic sequencing continues to benefit patients through precision medicine clinical laboratory treatments and pharmacogenomic therapies
EDITOR’S UPDATE—Jan. 26, 2022: Since publication of this news briefing, officials from Genomics England contacted us to explain the following:
The “five million genome sequences” was an aspirational goal mentioned by then Secretary of State for Health and Social Care Matt Hancock, MP, in an October 2, 2018, press release issued by Genomics England.
As of this date a spokesman for Genomics England confirmed to Dark Daily that, with the initial goal of 100,000 genomes now attained, the immediate goal is to sequence 500,000 genomes.
This goal was confirmed in a tweet posted by Chris Wigley, CEO at Genomics England.
In accordance with this updated input, we have revised the original headline and information in this news briefing that follows.
What better proof of progress in whole human genome screening than the announcement that the United Kingdom’s 100,000 Genome Project has not only achieved that milestone, but will now increase the goal to 500,000 whole human genomes? This should be welcome news to clinical laboratory managers, as it means their labs will be positioned as the first-line provider of genetic data in support of clinical care.
Many clinical pathologists here in the United States are aware of the 100,000 Genome Project, established by the National Health Service (NHS) in England (UK) in 2012. Genomics England’s new goal to sequence 500,000 whole human genomes is to pioneer a “lasting legacy for patients by introducing genomic sequencing into the wider healthcare system,” according to Technology Networks.
The importance of personalized medicine and of the power of precise, accurate diagnoses cannot be understated. This announcement by Genomics England will be of interest to diagnosticians worldwide, especially doctors who diagnose and treat patients with chronic and life-threatening diseases.
Building a Vast Genomics Infrastructure
Genetic sequencing launched the era of precision medicine in healthcare. Through genomics, drug therapies and personalized treatments were developed that improved outcomes for all patients, especially those suffering with cancer and other chronic diseases. And so far, the role of genomics in healthcare has only been expanding, as Dark Daily covered in numerous ebriefings.
Genomics England, which is wholly owned by the Department of Health and Social Care in the United Kingdom, was formed in 2012 with the goal of sequencing 100,000 whole genomes of patients enrolled in the UK National Health Service. That goal was met in 2018, and now the NHS aspires to sequence 500,000 genomes.
“The last 10 years have been really exciting, as we have seen genetic data transition from being something that is useful in a small number of contexts with highly targeted tests, towards being a central part of mainstream healthcare settings,” Richard Scott, MD, PhD (above), Chief Medical Officer at Genomics England told Technology Networks. Much of the progress has found its way into clinical laboratory testing and precision medicine diagnostics. (Photo copyright: Genomics England.)
Genomics England’s initial goals included:
To create an ethical program based on consent,
To set up a genomic medicine service within the NHS to benefit patients,
To make new discoveries and gain insights into the use of genomics, and
To begin the development of a UK genomics industry.
To gain the greatest benefit from whole genome sequencing (WGS), a substantial amount of data infrastructure must exist. “The amount of data generated by WGS is quite large and you really need a system that can process the data well to achieve that vision,” said Richard Scott, MD, PhD, Chief Medical Officer at Genomics England.
In early 2020, Weka, developer of the WekaFS, a fully parallel and distributed file system, announced that it would be working with Genomics England on managing the enormous amount of genomic data. When Genomics England reached 100,000 sequenced genomes, it had already gathered 21 petabytes of data. The organization expects to have 140 petabytes by 2023, notes a Weka case study.
Putting Genomics England’s WGS Project into Action
WGS has significantly impacted the diagnosis of rare diseases. For example, Genomics England has contributed to projects that look at tuberculosis genomes to understand why the disease is sometimes resistant to certain medications. Genomic sequencing also played an enormous role in fighting the COVID-19 pandemic.
Scott notes that COVID-19 provides an example of how sequencing can be used to deliver care. “We can see genomic influences on the risk of needing critical care in COVID-19 patients and in how their immune system is behaving. Looking at this data alongside other omics information, such as the expression of different protein levels, helps us to understand the disease process better,” he said.
What’s Next for Genomics Sequencing?
As the research continues and scientists begin to better understand the information revealed by sequencing, other areas of scientific study like proteomics and metabolomics are becoming more important.
“There is real potential for using multiple strands of data alongside each other, both for discovery—helping us to understand new things about diseases and how [they] affect the body—but also in terms of live healthcare,” Scott said.
Along with expanding the target of Genomics England to 500,000 genomes sequenced, the UK has published a National Genomic Strategy named Genome UK. This plan describes how the research into genomics will be used to benefit patients. “Our vision is to create the most advanced genomic healthcare ecosystem in the world, where government, the NHS, research and technology communities work together to embed the latest advances in patient care,” according to the Genome UK website.
Clinical laboratories professionals with an understanding of diagnostics will recognize WGS’ impact on the healthcare industry. By following genomic sequencing initiatives, such as those coming from Genomics England, pathologists can keep their labs ready to take advantage of new discoveries and insights that will improve outcomes for patients.
DeepMind hopes its unrivaled collection of data, enabled by artificial intelligence, may advance development of precision medicines, new medical laboratory tests, and therapeutic treatments
‘Tis the season for giving, and one United Kingdom-based artificial intelligence (AI) research laboratory is making a sizeable gift. After using AI and machine learning to create “the most comprehensive map of human proteins,” in existence, DeepMind, a subsidiary of Alphabet Inc. (NASDAQ:GOOGL), parent company of Google, plans to give away for free its database of millions of protein structure predictions to the global scientific community and to all of humanity, The Verge reported.
Pathologists and clinical laboratory scientists developing proteomic assays understand the significance of this gesture. They know how difficult and expensive it is to determine protein structures using sequencing of amino acids. That’s because the various types of amino acids in use cause the [DNA] string to “fold.” Thus, the availability of this data may accelerate the development of more diagnostic tests based on proteomics.
“For decades, scientists have been trying to find a method to reliably determine a protein’s structure just from its sequence of amino acids. Attraction and repulsion between the 20 different types of amino acids cause the string to fold in a feat of ‘spontaneous origami,’ forming the intricate curls, loops, and pleats of a protein’s 3D structure. This grand scientific challenge is known as the protein-folding problem,” a DeepMind statement noted.
Enter DeepMind’s AlphaFold AI platform to help iron things out. “Experimental techniques for determining structures are painstakingly laborious and time consuming (sometimes taking years and millions of dollars). Our latest version [of AlphaFold] can now predict the shape of a protein, at scale and in minutes, down to atomic accuracy. This is a significant breakthrough and highlights the impact AI can have on science,” DeepMind stated.
Release of Data Will Be ‘Transformative’
In July, DeepMind announced it would begin releasing data from its AlphaFold Protein Structure Database which contains “predictions for the structure of some 350,000 proteins across 20 different organisms,” The Verge reported, adding, “Most significantly, the release includes predictions for 98% of all human proteins, around 20,000 different structures, which are collectively known as the human proteome. By the end of the year, DeepMind hopes to release predictions for 100 million protein structures.”
According to Edith Heard, PhD, Director General of the European Molecular Biology Laboratory (EMBL), the open release of such a dataset will be “transformative for our understanding of how life works,” The Verge reported.
“I see this as the culmination of the entire 10-year-plus lifetime of DeepMind,” company CEO and co-founder Demis Hassabis (above), told The Verge. “From the beginning, this is what we set out to do: to make breakthroughs in AI, test that on games like Go and Atari, [and] apply that to real-world problems, to see if we can accelerate scientific breakthroughs and use those to benefit humanity.” The release of DeepMind’s entire protein prediction database will certainly do that. Clinical laboratory scientists worldwide will have free access to use it in developing new precision medicine treatments based on proteomics. (Photo copyright: BBC.)
Free Data about Proteins Will Accelerate Research on Diseases, Treatments
Research into how protein folds and, thereby, functions could have implications to fighting diseases and developing new medicines, according to DeepMind.
“This will be one of the most important datasets since the mapping of the human genome,” said Ewan Birney, PhD, Deputy Director General of the EMBL, in the DeepMind statement. EMBL worked with DeepMind on the dataset.
DeepMind protein prediction data are already being used by scientists in medical research. “Anyone can use it for anything. They just need to credit the people involved in the citation,” said Demis Hassabis, DeepMind CEO and Co-founder, in The Verge.
In a blog article, Hassabis listed several projects and organizations already using AlphaFold. They include:
“As researchers seek cures for diseases and pursue solutions to other big problems facing humankind—including antibiotic resistance, microplastic pollution, and climate change—they will benefit from fresh insights in the structure of proteins,” Hassabis wrote.
Because of the deep financial backing that Alphabet/Google can offer, it is reasonable to predict that DeepMind will make progress with its AI technology that regularly adds capabilities and accuracy, allowing AlphaFold to be effective for many uses.
This will be particularly true for the development of new diagnostic assays that will give clinical laboratories better tools for diagnosing disease earlier and more accurately.
