Results of an earlier study in which locks of Beethoven’s hair underwent genetic analysis showed the composer ‘had a predisposition for liver disease and became infected with hepatitis B’
Here is an example of modern technologies being used with “historical biospecimens” to solve long-standing mysteries or questions about the illnesses of famous historical figures. Clinical laboratory scientists at the Mayo Clinic have used modern-day chemical analysis techniques to answer a 200-year-old question: What caused Ludwig van Beethoven’s deafness and other health problems?
“Such lead levels are commonly associated with gastrointestinal and renal ailments and decreased hearing but are not considered high enough to be the sole cause of death,” the authors wrote.
Beethoven’s death at age 56 has been attributed to kidney and liver disease, CNN reported. Even if the lead concentrations were not the sole cause, they would nevertheless be regarded as lead poisoning, lead study author Nader Rifai, PhD, told CNN.
“If you walk into any emergency room in the United States with these levels, you will be admitted immediately and you will undergo chelation therapy,” he said.
“It is believed that Beethoven died from liver and kidney disease at age 56. But the process of understanding what caused his many health problems has been a much more complicated puzzle, one that even Beethoven himself hoped doctors could eventually solve,” CNN reported, adding, “The composer expressed his wish that his ailments be studied and shared so ‘as far as possible at least the world will be reconciled to me after my death.’” Mayo clinical laboratory scientists are using chemical analysis on authenticated locks of Beethoven’s hair to do just that. (Photo copyright: Joseph Karl Stieler/Public Domain.)
Mass Spectrometry Analysis
Mayo Clinic’s metals laboratory, led by chemist Paul Jannetto, PhD, an associate professor in the Department of Laboratory Medicine and Pathology and Laboratory Director at the Mayo Clinic, performed the analysis on two authenticated locks of Beethoven’s hair, using inductively coupled plasma mass spectrometers.
The researchers found that one lock had 258 micrograms of lead/gram and the other had 380 micrograms. Normally they would expect to find less than four micrograms.
“These are the highest values in hair I’ve ever seen,” Jannetto told The New York Times. “We get samples from around the world and these values are an order of magnitude higher.”
The researchers also found that the composer’s hair had four times the normal level of mercury and 13 times the normal amount of arsenic.
Rifai and other researchers noted that Beethoven drank large amounts of plumbed wine, and at the time it was common to sweeten wine with lead acetate, CNN reported.
The composer also could have been exposed to lead in glassware. He likely absorbed high levels of arsenic and mercury by eating fish caught from the Danube River in Vienna.
David Eaton, PhD, a toxicologist, pharmacologist, and Professor Emeritus, Department of Environmental and Occupational Health Sciences at the University of Washington, told The New York Times that high levels of lead could have impaired Beethoven’s hearing through their effect on the nervous system. Additionally, he said the composer’s gastrointestinal ailments “are completely consistent with lead poisoning.”
Rifai told CNN that he’d like to study locks of hair from other 19th century Vienna residents to see how their lead levels compared with Beethoven’s.
Beethoven’s Genome and Genetic Predisposition for Liver Disease
Additional research published in May built on an earlier genomic analysis of Beethoven’s hair, which appeared in March 2023 in the journal Current Biology.
The international team included geneticists, archeologists, and immunologists who analyzed eight locks of hair attributed to the composer. They determined that five were authentic. One, known as the Stumpff Lock, appeared to be the best preserved. They used this lock to sequence Beethoven’s DNA.
“Although we could not identify a genetic explanation for Beethoven’s hearing disorder or gastrointestinal problems, we found that Beethoven had a genetic predisposition for liver disease,” the authors wrote. “Metagenomic analyses revealed furthermore that Beethoven had a hepatitis B infection during at least the months prior to his death. Together with the genetic predisposition and his broadly accepted alcohol consumption, these present plausible explanations for Beethoven’s severe liver disease, which culminated in his death.”
One surprising discovery was the likelihood of an extramarital affair on the composer’s father’s side, CNN reported. The researchers learned this in part by comparing his genetic profile with those of living relatives.
“Through the combination of DNA data and archival documents, we were able to observe a discrepancy between Ludwig van Beethoven’s legal and biological genealogy,” study coauthor Maarten Larmuseau, PhD, told CNN. Larmuseau is assistant professor, Faculty of Medicine, and head of the Laboratory of Human Genetic Genealogy at KU Leuven in Belgium.
The Mayo Clinic team used two locks authenticated in the 2023 study—the Bermann Lock and Halm-Thayer Lock—to perform their chemical analysis, CNN reported.
Beethoven’s Wishes
The earlier study noted that Beethoven wanted his health problems to be made public. In 1802, he wrote a document known as the Heiligenstadt Testament in which he asked that his physician, surgeon/ophthalmologist Johann Adam Schmidt, MD, discuss his disease after he died.
“For almost two years I have ceased to attend any social functions, just because I find it impossible to say to people: I am deaf,” Beethoven wrote at age 30, The New York Times reported. “If I had any other profession, I might be able to cope with my infirmity, but in my profession, it is a terrible handicap. And if my enemies, of whom I have a fair number, were to hear about it, what would they say?”
The authors of the Current Biology paper wrote, “Genomic sequence data from authenticated locks of Beethoven’s hair provide Beethoven studies with a novel primary source, already revealing several significant findings relating to Beethoven’s health and genealogy, including substantial heritable risk for liver disease, infection with HBV [Hepatitis B], and EPP [extra pair paternity]. This dataset additionally permits numerous future lines of scientific inquiry.
“The further development of bioinformatics methods for risk stratification and continued progress in medical genetic research will allow more precise assessments both for Beethoven’s disease risk and for the genetic inference of additional phenotypes of interest.
“This study illustrates the contribution and further potential of genomic data as a novel primary source in historical biography,” the scientists concluded.
The work of the clinical laboratory professionals at Mayo Clinic also demonstrates how advances in various diagnostic technologies can enable pathologists and lab scientists to participate in solving long-standing health questions about historical figures, especially if their hair or other types of specimens survived and can be used in the analysis.
New technology could enable genetic scientists to identify antibiotic resistant genes and help physicians choose better treatments for genetic diseases
Genomic scientists at the Icahn School of Medicine at Mount Sinai Medical Center in New York City have developed what they call a “smart tweezer” that enables researchers to isolate a single bacterium from a patient’s microbiome in preparation for genetic sequencing. Though primarily intended for research purposes, the new technology could someday be used by clinical laboratories and microbiologists to help physicians diagnose chronic disease and choose appropriate genetic therapies.
The researchers designed their new technology—called mEnrich-seq—to improve the effectiveness of research into the complex communities of microorganisms that reside in the microbiomes within the human body. The discovery “ushers in a new era of precision in microbiome research,” according to a Mount Sinai Hospital press release.
“Imagine you’re a scientist who needs to study one particular type of bacteria in a complex environment. It’s like trying to find a needle in a large haystack,” said the study’s senior author Gang Fang, PhD (above), Professor of Genetics and Genomic Sciences at Icahn School of Medicine at Mount Sinai Medical Center, in a press release. “mEnrich-seq essentially gives researchers a ‘smart tweezer’ to pick up the needle they’re interested in,” he added. Might smart tweezers one day be used to help physicians and clinical laboratories diagnose and treat genetic diseases? (Photo copyright: Icahn School of Medicine.)
Addressing a Technology Gap in Genetic Research
Any imbalance or decrease in the variety of the body’s microorganisms can lead to an increased risk of illness and disease.
In researching the microbiome, many scientists “focus on studying specific types of bacteria within a sample, rather than looking at each type of bacteria present,” the press release states. The limitation of this method is that a specific bacterium is just one part of a complicated environment that includes other bacteria, viruses, fungi and host cells, each with their own unique DNA.
“mEnrich-seq effectively distinguishes bacteria of interest from the vast background by exploiting the ‘secret codes’ written on bacterial DNA that bacteria use naturally to differentiate among each other as part of their native immune systems,” the press release notes. “This new strategy addresses a critical technology gap, as previously researchers would need to isolate specific bacterial strains from a given sample using culture media that selectively grow the specific bacterium—a time-consuming process that works for some bacteria, but not others. mEnrich-seq, in contrast, can directly recover the genome(s) of bacteria of interest from the microbiome sample without culturing.”
Isolating Hard to Culture Bacteria
To conduct their study, the Icahn researchers used mEnrich-seq to analyze urine samples taken from three patients with urinary tract infections (UTIs) to reconstruct Escherichia coli (E. Coli) genomes. They discovered their “smart tweezer” covered more than 99.97% of the genomes across all samples. This facilitated a comprehensive examination of antibiotic-resistant genes in each genome. They found mEnrich-seq had better sensitivity than standard study methods of the urine microbiome.
They also used mEnrich-seq to selectively examine the genomes of Akkermansia muciniphila (A. muciniphila), a bacterium that colonizes the intestinal tract and has been shown to have benefits for obesity and Type 2 diabetes as well as a response to cancer immunotherapies.
“Akkermansia is very hard to culture,” Fang told GenomeWeb. “It would take weeks for you to culture it, and you need special equipment, special expertise. It’s very tedious.”
mEnrich-seq was able to quickly segregate it from more than 99.7% of A. muciniphila genomes in the samples.
Combatting Antibiotic Resistance Worldwide
According to the press release, mEnrich-seq could potentially be beneficial to future microbiome research due to:
Cost-Effectiveness: It offers a more economical approach to microbiome research, particularly beneficial in large-scale studies where resources may be limited.
Broad Applicability: The method can focus on a wide range of bacteria, making it a versatile tool for both research and clinical applications.
Medical Breakthroughs: By enabling more targeted research, mEnrich-seq could accelerate the development of new diagnostic tools and treatments.
“One of the most exciting aspects of mEnrich-seq is its potential to uncover previously missed details, like antibiotic resistance genes that traditional sequencing methods couldn’t detect due to a lack of sensitivity,” Fang said in the news release. “This could be a significant step forward in combating the global issue of antibiotic resistance.”
More research and clinical trials are needed before mEnrich-seq can be used in the medical field. The Icahn researchers plan to refine their novel genetic tool to improve its efficiency and broaden its range of applications. They also intend to collaborate with physicians and other healthcare professionals to validate how it could be used in clinical environments.
Should all this come to pass, hospital infection control teams, clinical laboratories, and microbiology labs would welcome a technology that would improve their ability to detect details—such as antibiotic resistant genes—that enable a faster and more accurate diagnosis of a patient’s infection. In turn, that could contribute to better patient outcomes.
Molecular probes designed to spot minute amounts of pathogens in biological samples may aid clinical laboratories’ speed-to-answer
Driven to find a better way to isolate minute samples of pathogens from among high-volumes of other biological organisms, researchers at Canada’s McMaster University in Hamilton, Ontario, have unveiled a bioinformatics algorithm which they claim shortens time-to-answer and speeds diagnosis of deadly diseases.
Two disease pathogens the researchers specifically targeted in their study are responsible for sepsis and SARS-CoV-2, the coronavirus causing COVID-19. Clinical laboratories would welcome a technology which both shortens time-to-answer and improves diagnostic accuracy, particularly for pathogens such as sepsis and SARS-CoV-2.
Their design of molecular probes that target the genomic sequences of specific pathogens can enable diagnosticians and clinical laboratories to spot extremely small amounts of viral and bacterial pathogens in patients’ biological samples, as well as in the environment and wildlife.
“There are thousands of bacterial pathogens and being able to determine which one is present in a patient’s blood sample could lead to the correct treatment faster when time is very important,” Zachery Dickson, a lead author of the study, told Brighter World. Dickson is a bioinformatics PhD candidate in the Department of Biology at McMaster University. “The probe makes identification much faster, meaning we could potentially save people who might otherwise die,” he added.
Sepsis is a life-threatening response to infection that leads to organ failure, tissue damage, and death in hospitals worldwide. According to Sepsis Alliance, about 30% of people diagnosed with severe sepsis will die without quick and proper treatment. Thus, a “shortcut” to identifying sepsis in its early stages may well save many lives, the McMaster researchers noted.
And COVID-19 has killed millions. Such a tool that identifies sepsis and SARS-CoV-2 in minute biological samples would be a boon to hospital medical laboratories worldwide.
“We currently need faster, cheaper, and more succinct ways to detect pathogens in human and environmental samples that democratize the hunt, and this pipeline does exactly that,” Hendrik Poinar, PhD (above), McMaster Professor of Anthropology and a lead author of the study, told Brighter World. Poinar is Director of the McMaster University Ancient DNA Center. Hospital medical laboratories could help save many lives if sepsis and COVID-19 could be detected earlier. (Graphic copyright: McMaster University.)
Is Bioinformatics ‘Shortcut’ Faster than PCR Testing?
The researchers say their probes enable a shortcut to detection—even in an infection’s early stages—by “targeting, isolating, and identifying the DNA sequences specifically and simultaneously.”
The probes’ design makes possible simultaneous targeted capture of diverse metagenomics targets, Biocompare explained.
But is it faster than PCR (polymerase chain reaction) testing?
The McMaster scientists were motivated by the “challenges of low signal, high background, and uncertain targets that plague many metagenomic sequencing efforts,” they noted in their paper.
They pointed to challenges posed by PCR testing, a popular technique used for detection of sepsis pathogens as well as, more recently, for SARS-CoV-2, the coronavirus causing COVID-19.
“The (PCR) technique relies on primers that bind to nucleic acid sequences specific to an organism or group of organisms. Although capable of sensitive, rapid detection and quantification of a particular target, PCR is limited when multiple loci are targeted by primers,” the researchers wrote in Cell Reports Methods.
According to LabMedica, “A wide array of metagenomic study efforts are hampered by the same challenge: low concentrations of targets of interest combined with overwhelming amounts of background signal. Although PCR or naive DNA capture can be used when there are a small number of organisms of interest, design challenges become untenable for large numbers of targets.”
Detecting Pathogens Faster, Cheaper, and More Accurately
As part of their study, researchers tested two probe sets:
one to target bacterial pathogens linked to sepsis, and
another to detect coronaviruses including SARS-CoV-2.
They were successful in using the probes to capture a variety of pathogens linked to sepsis and SARS-CoV-2.
“We validated HUBDesign by generating probe sets targeting the breadth of coronavirus diversity, as well as a suite of bacterial pathogens often underlying sepsis. In separate experiments demonstrating significant, simultaneous enrichment, we captured SARS-CoV-2 and HCoV-NL63 [Human coronavirus NL 63] in a human RNA background and seven bacterial strains in human blood. HUBDesign has broad applicability wherever there are multiple organisms of interest,” the researchers wrote in Cell Reports Methods.
The findings also have implications to the environment and wildlife, the researchers noted.
Of course, more research is needed to validate the tool’s usefulness in medical diagnostics. The McMaster University researchers intend to improve HUBDesign’s efficiency but note that probes cannot be designed for unknown targets.
Nevertheless, the advanced application of novel technologies to diagnose of sepsis, which causes 250,000 deaths in the US each year, according to the federal Centers for Disease Control and Prevention, is a positive development worth watching.
The McMaster scientists’ discoveries—confirmed by future research and clinical studies—could go a long way toward ending the dire effects of sepsis as well as COVID-19. That would be a welcome development, particularly for hospital-based laboratories.
Several young companies hope to expand the direct-to-consumer test market by introducing new diagnostic tests to serve the women’s health market
Providing women with at-home lab test kits is the goal of a growing class of start-up companies that are bringing to market consumer test kits for a range of health conditions common to women. These companies believe they can shift a substantial volume of such testing away from the nation’s medical laboratories.
Moreover, diagnostic startups that develop at-home direct-to-consumer (DTC) clinical laboratory genetic tests have been hot commodities among venture capitalists and other healthcare investors willing to put tens of millions of dollars into these new firms. The New York Times observed that, until recently, women’s healthcare needs have rarely been the focus of new diagnostic testing companies, but that the situation may be changing.
“Femtech” (short for female technology) products and services that address the health and wellness needs of women is the new buzz word in healthcare. It describes female-focused diagnostic startups aiming at vaginal health and other medical issues that go beyond reproductive health concerns.
This, however, is a dual-edged sword for clinical laboratory leaders. Growth in this segment could lead to new diagnostics tests that boost a medical lab’s bottom line or, conversely, it could reduce revenue as patients self-diagnose urinary tract infections (UTIs), yeast infections, and other conditions through at-home DTC testing.
“The market potential is huge,” Michelle Tempest, MD (above), a partner at the London-based healthcare consulting firm Candesic, told The New York Times. “There’s definitely an increasing appetite for anything in the world which is technology and a realization that female consumer power has arrived—and that it’s arrived in healthcare.” Tempest maintains the women’s health marketplace is ripe for growth, which could mean a boon for clinical laboratory testing and diagnostics designed specifically for women. (Photo copyright: Candesic.)
Vaginal Microbiome At-home Clinical Laboratory Tests in High Demand
One area in particular drawing the attention of several female-led startups is vaginal health. According to an article in Vogue, test developers Juno Bio and Evvy are leading the way with at-home vaginal microbiome tests that let users “know what’s up down there.”
New York City-based Evvy ($129 for a single test or $99 each for four tests per year) uses metagenomic sequencing to identify the bacteria and fungi present in the vaginal microbiome. This information helps customers to understand their levels of protective and disruptive bacteria, which can be associated with everything from reoccurring infections and transmission of sexually transmitted diseases to infertility.
London-based Juno Bio ($149 per test) does not disclose its testing method. It does, however, provide users with a “full vaginal microbiome profile.” The profile is accessed online within a “few days” of returning the vaginal swab sample to the company’s clinical laboratory.
Both companies note that their tests are intended to be used for wellness purposes and are not meant to diagnose or treat disease or substitute for a physician’s consultation.
Gynecologist Oluwatosin Goje, MD, MSCR, FACOG, a reproductive infectious disease specialist at Cleveland Clinic, believes the availability of at-home vaginal microbiome testing will provide valuable information to both women and their doctors.
“It’s a powerful tool because it enables us to look at the entire microbial community through metagenomics and decipher how the overall composition might be affecting symptoms and infections, as well as determine the best treatment pathway,” Goje, an Evvy Medical Advisor, told Vogue. “Understanding the complete vaginal microbiome allows us to be good antibiotic stewards and only administer antibiotics when needed. Patients can also retest remotely to understand how antibiotics and other treatments impacted their vaginal microbiome.”
Evvy, which offers women an at-home vaginal microbiome test (above) that can provide insights into chronic vaginal infections and proclivity to contract sexually transmitted diseases and other women’s health issues, is one of several women-led diagnostic start-ups focused on women’s health. (Photo copyright: Evvy.)
Removing the Discomfort of Shopping for Women’s Health Products
Jamie Norwood and Cynthia Plotch, co-founders of Stix, a supplier of women’s health products and education, launched their company with a product line of at-home pregnancy and ovulation tests. They have since expanded their offerings to include urinary tract infection (UTI) and yeast infection testing and treatments.
“You can test, relieve, treat, and help prevent future infections—all from the comfort of your own home,” Norwood, told Vogue. She emphasized that this is the kind of experience healthcare consumers are demanding in today’s ever-growing direct-to-consumer clinical laboratory testing landscape. “Agonizing over confusing over-the-counter products in the drugstore aisles, or bending over backwards to pick up a prescription at the pharmacy, just isn’t cutting it for Millennial and Gen Z consumers.”
According to WebMD, yeast infections are a chronic problem for many women. While 75% of women will get at least one yeast infection in their lifetime, up to 8% get more than four a year. In addition, the federal Centers for Disease Control and Prevention (CDC) points out that bacterial vaginosis is the most common vaginal condition in females ages 15-44.
Lola Priego, is CEO and founder of blood test company Base, which sells at-home saliva and finger-prick blood tests to monitor hormone levels, vitamin levels, neurotransmitters, and blood cell markers to improve everything from sleep and diet to sex drive. She predicts direct-to-consumer testing will become as common as fitness watches.
“Eventually, at-home lab testing will be another readily-used tool, similar to your health-tracking wearables, that helps us optimize for a well-rounded healthy lifestyle in a more individualized way,” Priego told Vogue.
Femtech a ‘Significantly Underdeveloped’ Market
In its latest Analyst Note, financial data firm PitchBook maintained that the market for female health products is poised for growth. TechCrunch, which reviewed PitchBook’s analysis of female-focused health products, reported that Femtech remains a “significantly underdeveloped” slice of health-tech spending.
While women spend an estimated $500 billion annually on medical expenses, only 4% of research and development money is targeted at women’s health, PitchBook noted. In its analysis, Pitchbook predicted the global market for female-focused health products will reach $3 billion by the end of 2030. By comparison, that segment of the healthcare market totaled $820.6 million last year.
“While we still view Femtech as a niche industry, we believe secular drivers could help propel new growth opportunities in the space,” PitchBook analysts wrote. “These include the increasing representation of women in the venture-backed technology community, rising awareness and acceptance of women’s health issues, and the growing prevalence of infectious diseases among women in some countries in Africa and Asia.
“Furthermore, while the majority of Femtech products have traditionally focused on reproductive health, we believe new approaches to women’s health research will help open the door to new products and services,” they noted.
Clinical laboratory leaders will be wise to carefully watch the growth of at-home DTC tests and products targeted at female healthcare consumers since fewer trips to physicians’ offices may mean fewer test orders for local labs.
At the same time, the opportunity exists for innovative pathologists and lab managers to develop digital services that allow consumers who are self-testing to store their home-test results in the lab’s app. They can then receive relevant insights from clinical pathologists to help them fully understand the implications of the test results.
Newly combined digital pathology, artificial intelligence (AI), and omics technologies are providing anatomic pathologists and medical laboratory scientists with powerful diagnostic tools
Add “spatial transcriptomics” to the growing list of “omics” that have the potential to deliver biomarkers which can be used for earlier and more accurate diagnoses of diseases and health conditions. As with other types of omics, spatial transcriptomics might be a new tool for surgical pathologists once further studies support its use in clinical care.
Among this spectrum of omics is spatial transcriptomics, or ST for short.
Spatial Transcriptomics is a groundbreaking and powerful molecular profiling method used to measure all gene activity within a tissue sample. The technology is already leading to discoveries that are helping researchers gain valuable information about neurological diseases and breast cancer.
Marriage of Genetic Imaging and Sequencing
Spatial transcriptomics is a term used to describe a variety of methods designed to assign cell types that have been isolated and identified by messenger RNA (mRNA), to their locations in a histological section. The technology can determine subcellular localization of mRNA molecules and can quantify gene expression within anatomic pathology samples.
In “Spatial: The Next Omics Frontier,” Genetic Engineering and Biotechnology News (GEN) wrote, “Spatial transcriptomics gives a rich, spatial context to gene expression. By marrying imaging and sequencing, spatial transcriptomics can map where particular transcripts exist on the tissue, indicating where particular genes are expressed.”
In an interview with Technology Networks, George Emanuel, PhD, co-founder of life-science genomics company Vizgen, said, “Spatial transcriptomic profiling provides the genomic information of single cells as they are intricately spatially organized within their native tissue environment.
“With techniques such as single-cell sequencing, researchers can learn about cell type composition; however, these techniques isolate individual cells in droplets and do not preserve the tissue structure that is a fundamental component of every biological organism,” he added.
“Direct spatial profiling the cellular composition of the tissue allows you to better understand why certain cell types are observed there and how variations in cell state might be a consequence of the unique microenvironment within the tissue,” he continued. “In this way, spatial transcriptomics allows us to measure the complexity of biological systems along the axes that are most relevant to their function.”
“Although spatial genomics is a nascent field, we are already seeing broad interest among the community and excitement across a range of questions, all the way from plant biology to improving our understanding of the complex interactions of the tumor microenvironment,” George Emanuel, PhD (above), told Technology Networks. Oncologists, anatomic pathologists, and medical laboratory scientists my soon see diagnostics that take advantage of spatial genomics technologies. (Photo copyright: Vizgen.)
According to 10x Genomics, “spatial transcriptomics utilizes spotted arrays of specialized mRNA-capturing probes on the surface of glass slides. Each spot contains capture probes with a spatial barcode unique to that spot.
“When tissue is attached to the slide, the capture probes bind RNA from the adjacent point in the tissue. A reverse transcription reaction, while the tissue is still in place, generates a cDNA [complementary DNA] library that incorporates the spatial barcodes and preserves spatial information.
“Each spot contains approximately 200 million capture probes and all of the probes in an individual spot share a barcode that is specific to that spot.”
“The highly multiplexed transcriptomic readout reveals the complexity that arises from the very large number of genes in the genome, while high spatial resolution captures the exact locations where each transcript is being expressed,” Emanuel told Technology Networks.
Spatial Transcriptomics for Breast Cancer and Neurological Diagnostics
In that paper, the authors wrote “we envision that in the coming years we will see simplification, further standardization, and reduced pricing for the ST protocol leading to extensive ST sequencing of samples of various cancer types.”
Spatial transcriptomics is also being used to research neurological conditions and neurodegenerative diseases. ST has been proven as an effective tool to hunt for marker genes for these conditions as well as help medical professionals study drug therapies for the brain.
“You can actually map out where the target is in the brain, for example, and not only the approximate location inside the organ, but also in what type of cells,” Malte Kühnemund, PhD, Director of Research and Development at 10x Genomics, told Labiotech.eu. “You actually now know what type of cells you are targeting. That’s completely new information for them and it might help them to understand side effects and so on.”
The field of spatial transcriptomics is rapidly moving and changing as it branches out into more areas of healthcare. New discoveries within ST methodologies are making it possible to combine it with other technologies, such as Artificial Intelligence (AI), which could lead to powerful new ways oncologists and anatomic pathologists diagnose disease.
“I think it’s going to be tricky for pathologists to look at that data,” Kühnemund said. “I think this will go hand in hand with the digital pathology revolution where computers are doing the analysis and they spit out an answer. That’s a lot more precise than what any doctor could possibly do.”
Spatial transcriptomics certainly is a new and innovative way to look at tissue biology. However, the technology is still in its early stages and more research is needed to validate its development and results.
Nevertheless, this is an opportunity for companies developing artificial intelligence tools for analyzing digital pathology images to investigate how their AI technologies might be used with spatial transcriptomics to give anatomic pathologists a new and useful diagnostic tool.