Study is expected to result in new clinical laboratory test biomarkers based on proteins shown to be associated with specific diseases
In January, the UK Biobank announced the launch of the “world’s most comprehensive study” of the human proteome. The study focuses on proteins circulating throughout the human body. Researchers involved in this endeavor hope the project will transform disease detection and lead to clinical laboratory blood tests that help diagnosticians identify illnesses earlier than with conventional diagnostics.
Building on the results of a 2023 pilot project that studied “the effects of common genetic variation on proteins circulating in the blood and how these associations can contribute to disease,” according to a UK Biobank news release, the 2025 UK Biobank Pharma Proteomics Project (UKB-PPP) plans to analyze up to 5,400 proteins in 600,000 samples to explore how an individual’s protein levels changes over time and how those changes may influence the existence of diseases in mid-to-late life.
The specimens being analyzed include 500,000 samples extracted from UK Biobank participants and an additional 100,000 set of second samples taken from volunteers up to 15 years later.
“The data collected in the study will allow scientists around the world to conduct health-related research, exploring how lifestyle, environment, and genetics lead through proteins to some people developing particular diseases, while others do not,” Sir Rory Collins, FMedSci FRS, professor of medicine and epidemiology at University of Oxford and principal investigator and chief executive of the UK Biobank, told The Independent.
“That will allow us to identify who it is, who’s likely to develop disease well before they do, and we can then look at ways in which to prevent those conditions before they develop,” he added.
“It really might be possible to develop simple blood tests that can detect disease much earlier than currently exists,” said Naomi Allen, MSc, DPhil (above), chief scientist for UK Biobank and professor of epidemiology at Oxford Population Health, University of Oxford, in an interview with The Independent. “So, it adds a crucial piece in the jigsaw puzzle for scientists to figure out how disease develops and gives us firm clues on what we can do to prevent and treat it.” Clinical laboratories may soon have new test biomarkers that help identify proteins associated with specific diseases. (Photo copyright: UK Biobank.)
Developing New Protein-based Biomarkers
A proteome is the entire set of proteins expressed by an organism, cell, or tissue and the study of the proteome is known as proteomics. The proteome is an expression of an organism’s genome, but it can change over time between cell types and growth conditions.
The human genome contains approximately 20,000 genes and human cells have between 80,000 and 400,000 proteins with specific cells having their own proteomes. Proteomics can help ascertain how proteins function and interact with each other and assist in the identification of biomarkers for new drug discoveries and development.
“This is hugely valuable, because it will enable researchers to see how changes in protein levels within individuals over mid- to late-life influence the development of a whole range of different diseases,” said Naomi Allen, MSc, DPhil, chief scientist for UK Biobank and professor of epidemiology at the Oxford Population Health, University of Oxford, in The Independent. “It will accelerate research into the causes of disease and the development of new treatments that target specific proteins associated with those diseases.
“The pilot data is already showing that specific proteins are elevated in those who go on to develop many different types of cancers up to seven years before a clinical diagnosis is made. And for dementia, up to 10 years before clinical diagnosis is made,” she added.
According to the project’s website, the UK Biobank’s proteomics dataset will allow researchers to:
Examine proteomic and genetic data from half a million people to provide a more detailed picture of the biological processes involved in disease progression.
Examine how and why protein levels change over time to understand age-related changes in healthy individuals.
Utilize proteomic data together with imaging data to understand disease mechanisms.
“Data from the pilot study has shown that specific proteins are substantially elevated in individuals with autoimmune conditions like multiple sclerosis and Crohn’s disease and so on,” Allen noted. “So, you can see how a simple blood test could be used to complement existing diagnostic measures in order to diagnose these types of diseases more accurately and perhaps more quickly.”
An Invaluable Resource of Knowledge
The initial UK Biobank started in 2006 and, to date, has collected biological and medical data from more than half a million individuals. The subjects of the UKB-PPP study are between the ages of 40 and 69 and reside in the UK. The database is globally accessible to approved researchers and scientists engaging in research into various diseases.
The full dataset of the latest research is expected to be added to the UK Biobank Research Analysis Platform by the year 2027. The newest study is backed by a consortium of 14 pharmaceutical firms.
Allen also noted that evidence from the research has emphasized how some drugs may be useful in treating a variety of conditions.
“Some proteins that are known to be important for immunity are related to developing a range of psychiatric conditions like schizophrenia, depression, bipolar disorder and so on,” she told The Independent. “And given there are drugs already available that specifically target some of these proteins that are used for other conditions, it presents a real opportunity for repurposing those existing drugs for these neuropsychiatric conditions.”
This type of comprehensive study of the human proteome may have a great impact on patient diagnosis and treatment once the study is completed and the results are disclosed.
“The data will be invaluable. The value of the data is infinite,” Collins told The Independence.
Since it is clinical laboratories that will be engaged in testing for proteins that have become associated with specific diseases, this new UK Biobank study has the potential to expand knowledge about useful protein markers for both diagnosis and therapeutic solutions (prescription drugs).
Although it is a non-specific procedure that does not identify specific health conditions, it could lead to new biomarkers that clinical laboratories could use for predictive healthcare
Researchers from the Mayo Clinic recently used artificial intelligence (AI) to develop a predictive computational tool that analyzes an individual’s gut microbiome to identify how a person may experience improvement or deterioration in health.
Dubbed the Gut Microbiome Wellness Index 2 (GMWI2), Mayo’s new tool does not identify the presence of specific health conditions but can detect even minor changes in overall gut health.
Built on an earlier prototype, GMWI2 “demonstrated at least 80% accuracy in differentiating healthy individuals from those with any disease,” according to a Mayo news release. “The researchers used bioinformatics and machine learning methods to analyze gut microbiome profiles in stool samples gathered from 54 published studies spanning 26 countries and six continents. This approach produced a diverse and comprehensive dataset.”
“Our tool is not intended to diagnose specific diseases but rather to serve as a proactive health indicator,” said senior study author Jaeyun Sung, PhD (above), a computational biologist at the Mayo Clinic Center for Individualized Medicine: Microbiomics Program in the news release ease. “By identifying adverse changes in gut health before serious symptoms arise, the tool could potentially inform dietary or lifestyle modifications to prevent mild issues from escalating into more severe health conditions, or prompt further diagnostic testing.” For microbiologists and clinical laboratory managers, this area of new knowledge about the human microbiome may lead to multiplex diagnostic assays. (Photo copyright: Mayo Clinic.)
Connecting Specific Diseases with Gut Microbiome
Gut bacteria that resides in the gastrointestinal tract consists of trillions of microbes that help regulate various bodily functions and may provide insights regarding the overall health of an individual. An imbalance in the gut microbiome is associated with an assortment of illnesses and chronic diseases, including cardiovascular issues, digestive problems, and some cancers and autoimmune diseases.
To develop GMWI2, the Mayo scientists provided the machine-learning algorithm with data on microbes found in stool samples from approximately 8,000 people collected from 54 published studies. They looked for the presence of 11 diseases, including colorectal cancer and inflammatory bowel disease (IBS). About 5,500 of the subjects had been previously diagnosed with one of the 11 diseases, and the remaining people did not have a diagnosis of the conditions.
The scientists then tested the efficacy of GMWI2 on an additional 1,140 stool samples from individuals who were diagnosed with conditions such as pancreatic cancer and Parkinson’s disease, compared with those who did not have those illnesses.
The algorithm gives subjects a score between -6 and +6. People with a higher GMWI2 score have a healthier microbiome that more closely resembles individuals who do not have certain diseases.
Likewise, a low GMWI2 score suggests the individual has a gut microbiome that is similar to those who have specific illnesses.
Highly Accurate Results
According to their study, the researchers determined that “GMWI2 achieves a cross-validation balanced accuracy of 80% in distinguishing healthy (no disease) from non-healthy (diseased) individuals and surpasses 90% accuracy for samples with higher confidence,” they wrote in Nature Communications.
Launched in 2020, the original GMWI (Gut Microbiome Wellness Index) was trained on a much smaller number of samples but still showed similar results.
The researchers tested the enhanced GMWI2 algorithm across various clinical schemes to determine if the results were similar. These scenarios included individuals who had previous fecal microbiota transplants and people who had made dietary changes or who had exposure to antibiotics. They found that their improved tool detected changes in gut health in those scenarios as well.
“By being able to answer whether a person’s gut is healthy or trending toward a diseased state, we ultimately aim to empower individuals to take proactive steps in managing their own health,” Sung said in the news release.
The Mayo Clinic team is developing the next version of their tool, which will be known as the Gut Microbiome Wellness Index 3. They plan to train it on at least 12,000 stool samples and use more sophisticated algorithms to decipher the data.
More research and studies are needed to determine the overall usefulness of Mayo’s Gut Microbiome Wellness Index and its marketability. Here is a world-class health institution disclosing a pathway/tool that analyzes the human microbiome to identify how an individual may be experiencing either an improvement in health or a deterioration in health.
The developers believe it will eventually help physicians determine how patients’ conditions are improving or worsening by comparing the patients’ microbiomes to the profiles of other healthy and unhealthy microbiomes. As this happens, it would create a new opportunity for clinical laboratories to perform the studies on the microbiomes of patients being assayed in this way by their physicians.
Findings may lead to new clinical laboratory biomarkers for predicting risk of developing MS and other autoimmune diseases
Scientists continue to find new clinical laboratory biomarkers to detect—and even predict risk of developing—specific chronic diseases. Now, in a recent study conducted at the University of California San Francisco (UCSF), researchers identified antibodies that develop in about 10% of Multiple Sclerosis (MS) patients’ years before the onset of symptoms. The researchers reported that of those who have these antibodies, 100% develop MS. Thus, this discovery could lead to new blood tests for screening MS patients and new ways to treat it and other autoimmune diseases as well.
The UCSF researchers determined that, “in about 10% [of] cases of multiple sclerosis, the body begins producing a distinctive set of antibodies against its own proteins years before symptoms emerge,” Yahoo Life reported, adding that “when [the patients] are tested at the time of their first disease flare, the antibodies show up in both their blood and cerebrospinal fluid.”
That MS is so challenging to diagnose in the first place makes this discovery even more profound. And knowing that 100% of a subset of MS patients who have these antibodies will develop MS makes the UCSF study findings quite important.
“This could be a useful tool to help triage and diagnose patients with otherwise nonspecific neurological symptoms and prioritize them for closer surveillance and possible treatment,” Colin Zamecnik, PhD, scientist and research fellow at UCSF, told Yahoo Life.
“From the largest cohort of blood samples on Earth, we obtained blood samples from MS patients years before their symptoms began and profiled antibodies against self-autoantibodies that are associated with multiple sclerosis diagnosis,” Colin Zamecnik, PhD (above), scientist and research fellow at UCSF, told Yahoo Life. “We found the first molecular marker of MS that appears up to five years before diagnosis in their blood.” These findings could lead to new clinical laboratory tests that determine risk for developing MS and other autoimmune diseases. (Photo copyright: LinkedIn.)
UCSF Study Details
According to the MS International Foundation Atlas of MS, there are currently about 2.9 million people living with MS worldwide, with about one million of them in the US. The disease is typically diagnosed in individuals 20 to 50 years old, mostly targeting those of Northern European descent, Yahoo Life reported.
To complete their study, the UCSF scientists used the Department of Defense Serum Repository (DoDSR), which is comprised of more than 10 million individuals, the researchers noted in their Nature Medicine paper.
From that group, the scientists identified 250 individuals who developed MS, spanning a period of five years prior to showing symptoms through one year after their symptoms first appeared, Medical News Today reported. These people were compared to 250 other individuals in the DoDSR who have no MS diagnosis but who all had similar serum collection dates, ages, race and ethnicities, and sex.
“The researchers validated the serum results against serum and cerebrospinal fluid results from an incident MS cohort at the University of California, San Francisco (ORIGINS) that enrolled patients at clinical onset. They used data from 103 patients from the UCSF ORIGINS study,” according to Medical News Today. “They carried out molecular profiling of autoantibodies and neuronal damage in samples from the 500 participants, measuring serum neurofilament light chain measurement (sNfL) to detect damage to nerve cells.
“The researchers tested the antibody patterns of both MS and control participants using whole-human proteomeseroreactivity which can detect autoimmune reactions in the serum and CSF,” Medical News Today noted.
Many who developed MS had an immunogenicity cluster (IC) of antibodies that “remained stable over time” and was not found in the control samples. The higher levels of sNfL in those with MS were discovered years prior to the first flare up, “indicating that damage to nerve cells begins a long time before symptom onset,” Medical News Today added.
“This signature is a starting point for further immunological characterization of this MS patient subset and may be clinically useful as an antigen-specific biomarker for high-risk patients with clinically or radiologically isolated neuroinflammatory syndromes,” the UCSF scientists wrote in Nature Medicine.
“We believe it’s possible that these patients are exhibiting cross reactive response to a prior infection, which agrees with much current work in the literature around multiple sclerosis disease progression,” Zamecnik told Yahoo Life.
It “validates and adds to prior evidence of neuro-axonal injury occurring in patients during the MS preclinical phase,” the researchers told Medical News Today.
Implications of UCSF’s Study
UCSF’s discovery is a prime example of technology that could soon work its way into clinical use once additional studies and research are done to support the findings.
The researchers believe their research could lead to a simple blood test for detecting MS years in advance and discussed how this could “give birth to new treatments and disease management opportunities,” Neuroscience News reported.
Current MS diagnosis requires a battery of tests, such as lumbar punctures for testing cerebrospinal fluid, magnetic resonance imaging (MRI) scans of the spinal cord and brain, and “tests to measure speed and accuracy of nervous system responses,” Medical News Today noted.
“Given its specificity for MS both before and after diagnosis, an autoantibody serology test against the MS1c peptides could be implemented in a surveillance setting for patients with high probability of developing MS, or crucially at a first clinically isolated neurologic episode,” the UCSF researchers told Medical News Today.
The UCSF discovery is another example of nascent technology that could work its way into clinical use after more research and studies. Microbiologists, clinical laboratories, and physicians tasked with diagnosing MS and other autoimmune diseases should find the novel biomarkers the researchers identified most interesting, as well as what changed with science and technology that enabled researchers to identify these biomarkers for development.
Discovery highlights how ongoing microbiome research points to new opportunities that can lead to development of more effective cancer screening clinical laboratory tests
New research from the Fred Hutchinson Cancer Center in Seattle once again demonstrates that the human microbiome plays a sophisticated role in many biological processes. Microbiologists and anatomic pathologists who diagnose tissue/biopsies will find this study’s findings intriguing.
This breakthrough in colon cancer research came from the discovery that a “subspecies” of a common type of a bacteria that resides in the mouth and causes dental plaque also “shields tumor cells from cancer treatment,” according to NBC News.
The scientists inspected colorectal cancer (CRC) tumors and found that 50% of those examined featured a subspecies of Fusobacterium nucleatum (F. nucleatum or Fn) and that this anaerobic bacterium was “shielding tumor cells from cancer-fighting drugs,” NBC News noted. Many of these tumors were considered aggressive cases of cancer.
“The discovery, experts say, could pave the way for new treatments and possibly new methods of screening,” NBC News reported.
“Patients who have high levels of this bacteria in their colorectal tumors have a far worse prognosis,” Susan Bullman, PhD (above), who jointly supervised the Fred Hutch research team and who is now Associate Professor of Immunology at MD Anderson Cancer Center, told NBC News. “They don’t respond as well to chemotherapy, and they have an increased risk of recurrence,” she added. Microbiologists and clinical laboratories working with oncologists on cancer treatments will want to follow this research as it may lead to new methods for screening cancer patients. (Photo copyright: Fred Hutchinson Cancer Center.)
Developing Effective Treatments
Susan Bullman, PhD, Associate Professor of Immunology at MD Anderson Cancer Center, who along with her husband and fellow researcher Christopher D. Johnston, PhD, Assistant Professor at Fred Hutchinson Cancer Center, jointly supervised an international team of scientists that examined the genomes of 80 F. nucleatum strains from the mouths of cancer-free patients and 55 strains from tumors in patients with colorectal cancer, according to the National Institutes of Health (NIH). The NIH funded the research.
The researchers targeted a subspecies of F. nucleatum called F. nucleatum animalis (Fna) that “was more likely to be present in colorectal tumors. Further analyses revealed that there were two distinct types of Fna. Both were present in mouths, but only one type, called Fna C2, was associated with colorectal cancer” the NIH wrote in an article on its website titled, “Gum Disease-related Bacteria Tied to Colorectal Cancer.”
“Tumor-isolated strains predominantly belong to Fn subspecies animalis (Fna). However, genomic analyses reveal that Fna, considered a single subspecies, is instead composed of two distinct clades (Fna C1 and Fna C2). Of these, only Fna C2 dominates the CRC tumor niche,” the Fred Hutch researchers wrote in their Nature paper.
“We have pinpointed the exact bacterial lineage that is associated with colorectal cancer, and that knowledge is critical for developing effective preventive and treatment methods,” Johnston told the NIH.
How Bacteria Got from Mouth to Colon Not Fully Understood
Traditionally, F. nucleatum makes its home in the mouth in minute quantities. Thus, it is not fully understood how these bacteria travel from the mouth to the colon. However, the Fred Hutch researchers showed that Fna C2 could survive in acidic conditions, like those found in the gut, longer than the other types of Fna. This suggests that the bacteria may travel along a direct route through the digestive tract.
The study, which focused on participants over 50, comes at a time when colorectal cancer rates are trending upward. Rates are doubling for those under 55, jumping from 11% in 1995 to 20% in 2019. CRC is the second-leading cancer death and over 53,000 will succumb to the disease in 2024, according to NBC News.
Many of the newer diagnoses are in later stages with no clear reason why, and the Fred Hutch scientists are trying to understand how their findings tie into the increase of younger cases of colon cancer.
Bullman says it will be important to look at “whether there are elevated levels of this bacterium in young onset colorectal cancer, which is on the rise globally for unknown reasons,” she told NBC News.
Possibility of More Effective Cancer Screening
There is hope that scientists equipped with this knowledge can develop new and more effective screening and treatment options for colon cancer, as well as studying the microbiome’s impact on other diseases.
On the prevention side, researchers have seen that in mice the addition of Fna “appeared to cause precancerous polyps to form, one of the first warning signs of colorectal cancer, though Bullman added that this causation hasn’t yet been proven in humans.” NBC reported.
Future research may find that screening for Fna could determine if colorectal tumors will be aggressive, NIH reported.
“It’s possible that scientists could identify the subspecies while it’s still in the mouth and give a person antibiotics at that point, wiping it out before it could travel to the colon,” Bullman told NBC News. “Even if antibiotics can’t successfully eliminate the bacteria from the mouth, its presence there could serve as an indication that someone is at higher risk for aggressive colon cancer.”
There is also the thought of developing antibiotics to target a specific subtype of bacteria. Doing so would eliminate the need to be “wiping out both forms of the bacteria or all of the bacteria in the mouth. Further, it’s relevant to consider the possibility of harnessing the bacteria to do the cancer-fighting work,” NBC noted.
“The subtype has already proven that it can enter cancer cells quite easily, so it might be possible to genetically modify the bacteria to carry cancer-fighting drugs directly into the tumors,” Bullman told NBC News.
Further studies and research are needed. However, the Fred Hutch researchers’ findings highlight the sophistication of the human microbiome and hint at the potential role it can play in the diagnosis of cancer by clinical laboratories and pathology groups, along with better cancer treatments in the future.
Study of the 50 Omicron variants could lead to new approaches to clinical laboratory testing and medical treatments for long COVID
Patients infected with SARS-CoV-2 can usually expect the COVID-19 illness to subside within a couple of weeks. However, one Dutch patient remained infected with the coronavirus for 612 days and fought more than 50 mutations (aka, variants) before dying late last year of complications due to pre-existing conditions. This extreme case has given doctors, virologists, microbiologists, and clinical laboratories new insights into how the SARS-CoV-2 virus mutates and may lead to new treatments for long COVID.
The medication the patient was taking for his pre-existing conditions may have contributed to his body being unable to produce antibodies in response to three shots of the Moderna mRNA COVID vaccine he received.
Magda Vergouwe, MD, PhD candidate at the Center for Experimental and Molecular Medicine (CEMM), Amsterdam UMC, who lead a study into the patient, theorized that some of the medications the patient was on for his pre-existing conditions could have destroyed healthy cells alongside the abnormal cancer-causing B cells the drugs were meant to target.
“This case underscores the risk of persistent SARS-CoV-2 infections in immunocompromised individuals,” the researchers said prior to presenting their report about the case at a meeting of the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) in Barcelona, Spain, Time reported. “We emphasize the importance of continuing genomic surveillance of SARS-CoV-2 evolution in immunocompromised individuals with persistent infections.”
“Chronic infections and viral evolution [are] commonly described in [the] literature, and there are other cases of immunocompromised patients who have had [COVID] infections for hundreds of days,” Magda Vergouwe, MD, PhD candidate (above), Center for Experimental and Molecular Medicine at Amsterdam UMC, told Scientific American. “But this is unique due to the extreme length of the infection … and with the virus staying in his body for so long, it was possible for mutations to just develop and develop and develop.” Microbiologists, virologists, and clinical laboratories involved in testing patients with long COVID may want to follow this story. (Photo copyright: LinkedIn.)
Risks to Immunocompromised Patients
Pre-existing conditions increase the risk factor for COVID-19 infections. A 2021 study published in the Journal of the American Board of Family Medicine (JABFM) titled, “Prevalence of Pre-existing Conditions among Community Health Center Patients with COVID-19,” found that about 61% of that study’s test group had a pre-existing condition prior to the outbreak of the COVID-19 pandemic.
When the Dutch man was admitted to Amsterdam UMC with common and serious COVID-19 symptoms, such as shortness of breath, a cough, and low blood oxygen levels, he was prescribed sotrovimab (a monoclonal antibody) along with other COVID treatments.
About a month after being admitted his COVID-19 symptoms decreased, so he was first discharged to a rehab facility and then finally to his home. However, he continued to test positive for the coronavirus and developed other infections that may have been complicated by the persistent case of COVID-19.
The Amsterdam UMC doctors emphasized that the man ultimately succumbed to his pre-existing conditions and not necessarily COVID-19.
“It’s important to note that in the end he did not die from his COVID-19,” Vergouwe told Scientific American. “But he did keep it with him for a very long period of time until then, and this is why we made sure to sample [the virus in his body] as much as we could.”
One in Five Adults Develop Long COVID
Long COVID does not necessarily indicate an active infection. However, in as many as one in five US adults COVID symptoms persist after the acute phase of the infection is over, according to a study published recently in JAMA Network Open titled, “Epidemiologic Features of Recovery from SARS-CoV-2 Infection.”
“In this cohort study, more than one in five adults did not recover within three months of SARS-CoV-2 infection. Recovery within three months was less likely in women and those with pre-existing cardiovascular disease and more likely in those with COVID-19 vaccination or infection during the Omicron variant wave,” the JAMA authors wrote.
The origins of long COVID are not entirely clear, but according to the National Institutes of Health (NIH) it can develop when a patient is unable to sufficiently rest while battling off the initial virus. According to Vergouwe, the SARS-CoV-2 genome will always grow quicker when found in a patient with a compromised immune system.
Unique COVID-19 Mutations
More than 50 new mutations of the original Omicron variant were identified in the Dutch patient. According to Vergouwe, “while that number can sound shocking, mutations to the SARS-CoV-2 genome are expected to evolve more quickly in those who are immunocompromised (the average mutation rate of the virus is estimated to be two mutations per person per month),” Scientific American reported. “What does make these mutations unusual, she noted, is how their features differed vastly from mutations observed in other people with COVID. [Vergouwe] hypothesizes that the exceptional length of the individual’s infection, and his pre-existing conditions, allowed the virus to evolve extensively and uniquely.”
COVID-19 appears to be here to stay, and most clinical laboratory managers and pathologists understand why. As physicians continue to learn about the SARS-CoV-2 coronavirus, this is another example of how the knowledge about SARS-CoV-2 is growing as different individuals are infected with different variants of the virus.
