Tag: Immunology

  • Our local research project put us on the global stage — here’s how you can do it, too

    Our local research project put us on the global stage — here’s how you can do it, too

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    Insadong Street in Seoul, South Korea is filled with many people walking around.

    People travel from across South Korea to receive medical treatment in Seoul.Credit: Will & Deni McIntyre/Getty

    Later this year, South Korea is expected to sign up to the European Union’s research-funding programme, Horizon Europe. It’s a good time to reflect on the nature of large collaborative projects — and, in particular, when cross-border collaboration is most beneficial and when a deeper dive into local issues can be more rewarding.

    Large international collaborations have unquestionably produced great breakthroughs. Sequencing the human genome, for example, took 13 years of work by 20 institutions in 6 countries1. But large consortia such as these are almost always established in the same few countries: the United States, the United Kingdom and others in Europe. For scientists working elsewhere, setting up a large international project can seem unachievable, given the billion-dollar price tags and the networks of contacts required.

    And, sometimes, it is not the best solution. Global projects spearheaded in a few countries can have biases — for example, people of Asian descent are often under-represented in international genetic studies initiated in the West. National laws on acquiring data can differ, meaning that researchers need to conduct experiments differently in different regions, introducing biases. And the logistical complexity of coordinating a project across multiple countries in different time zones and with different work cultures can be problematic when rapid data collection and analysis are crucial2.

    There is an alternative — set up a large local consortium in one nation.

    We’ve done just that in Seoul. Our single-cell atlas of immune diseases (SCAID) consortium is a multi-institutional effort led by one of us (J.-I.K.), alongside 23 others. Running since April 2022, the project now involves 120 South Korean clinicians, immunologists, geneticists and bioinformaticians (including S.L., H.L. and J.K., who work in J.-I.K’s group).

    We aim to map gene expression in millions of individual cells from people who have immune-related diseases , including (but not limited to) rheumatoid arthritis, inflammatory bowel disease, interstitial lung disease and alopecia areata. Systemic immune diseases are thought to affect at least 1 in 20 people3. They are often incurable and cause debilitating symptoms, from chronic skin rashes to skeletomuscular changes. They can be fatal if they are not managed appropriately. We hope that our research will reveal similarities between 16 diverse diseases that manifest across the body, and help to uncover ways to use treatments more effectively.

    Our experiences have shown us that a regional consortium can be an efficient way to ask crucial research questions. Here, we share two broad lessons that we hope will help others to build effective regional consortia.

    Find a niche

    To compete in international circles, local consortia need to focus on addressing research questions that they are in a unique position to answer. This might be because of the particular mix of expertise of local researchers. It might be the regulatory environment in a country. Or it might be specific to the geography of the place where the research is done.

    In our case, we were inspired to set up SCAID by an international consortium called the Human Cell Atlas (HCA). Since 2016, it has been trying to map every single cell type in the human body using state-of-the art genomic technology. The next logical step is to create similar atlases for diseased cells. But this involves bringing in specialized clinicians for each disease and obtaining proper consent from a large number of people.

    This can be hard to achieve in a global consortium, in which each country has distinct legislative frameworks, ethics committees and medical systems4. For instance, the International HapMap Project — a genome-sequencing project launched in 2002 with researchers from six countries — needed to spend months in community consultation in Nigeria before it was able to obtain ethics approvals5. It also faced concerns raised by community advisory groups in Japan and China around depositing biological samples in overseas repositories. Overcoming these obstacles took 18 months6.

    For these reasons, most single-cell studies of disease data sets have focused on single diseases in single tissues, for simplicity. By contrast, restricting our study to a single country with one legislative framework has made it easier for us to gain ethics and individual approval, allowing us to study multiple diseases across multiple tissues.

    A medical worker walks past the Seoul National University Hospital in Seoul, South Korea.

    Seoul National University Hospital is one of 56 general hospitals in the South Korean capital.Credit: Anthony Wallace/AFP via Getty

    Seoul also has other benefits for such a project. First, it’s easy to enlist a diverse range of participants in the city. South Korea has a universal medical-insurance system that is mandatory for all residents7. This avoids biases that can arise when participants are part of a private health-insurance system. And people from across the country and all socio-economic classes travel to Seoul for treatment — the city’s cluster of 56 general hospitals can be reached from anywhere in South Korea in half a day.

    The concentration of hospitals also makes it easy to transfer samples quickly from donors to our central laboratory for analysis — it is no more than two hours’ drive from any hospital. Such proximity is a great advantage in single-cell genomics, because RNA — which is analysed to ascertain gene expression — degrades within hours once a sample is collected. A US National Institutes of Health large-scale genetics project called the Genotype–Tissue Expression project, for instance, found variability in the quality of RNA in its samples, depending on the time between collection and processing. This variability could skew interpretations of gene-expression data, and the researchers had to develop ways to account for it in their analyses8.

    Having a centralized hub prevents the problem of batch effects — undesired differences between samples — that can arise if samples are processed or analysed differently by different centres9,10. Handling batch effects is a big task for international consortia. The HCA, for instance, has a dedicated team of researchers to check for and minimize such effects11.

    Exploiting this niche is already proving fruitful for us. So far, we’ve collected more than 500 samples from 334 donors. We have analysed more than two million cells — equivalent to the second-largest data set collected in the HCA project so far. Our early analysis hints at common features between diseases: although symptoms arise in different organs, we are identifying distinct immune profiles that group the diseases into a few major categories.

    Still, being small and nimble comes with challenges. Local consortia need to be aware that they might lack some expertise, and they need to be prepared to seek help. Our consortium faced obstacles in obtaining ethics approvals, because each hospital review board had different requirements and concerns. Getting approval from each board was arduous, and required persistence when asking for opinions of the boards themselves, along with those of the Korea National Institute for Bioethics Policy and Korean Bioinformation Center. Nonetheless, it was easier than grappling with multiple international rules around ethics and data collection.

    To make this process smoother for others, it would help for institutions in a country to standardize their ethical-review processes and data-sharing agreements, ensuring that both comply with national regulations. Furthermore, institutions should establish collaborative networks to share best practices and discuss common challenges. These steps could ease the administrative burden on local consortia considerably, and accelerate their progress.

    Not all countries will have the strong technical skills of the South Korean workforce, nor the established biobanking repositories for genetic and clinical data, which are essential in projects such as ours. For scientists in countries without this infrastructure, international consortia can be a valuable source of guidance. For instance, the HCA’s Equity Working Group specifically aims to engage diverse geographical and ethnic groups in its projects12. By participating in such initiatives, countries can gain access to expertise, resources and best practices, helping them to overcome technical challenges and build their capabilities.

    Build in local benefits

    Regional projects should reflect the needs of the local community, both for ethical reasons and to attract funding. Funders are more likely to invest in big projects that can benefit citizens. Researchers must make those benefits clear.

    This might mean championing a field to governments and other funders. In South Korea, most research funding comes from the government — scientists propose broad topics that need funding, and the government selects those that align with its own goals and puts out funding calls, for which all researchers can apply. So genomicists, immunologists and bioinformaticians — not all of whom are members of the SCAID consortium — requested that the South Korean government fund a large-scale disease single-cell atlas. These scientists spelled out how the data could ultimately help researchers and clinicians to improve understanding of the disease predispositions that are unique to South Koreans. This will hopefully speed up the development of precision medicines tailored to the country’s own population.

    In countries that do not have official channels for petitioning the government, raising the profile of a field might involve using networks of contacts to meet with funders, or publishing papers that outline a field’s potential. Persistence is key — scientists must keep voicing their needs and perspectives.

    Researchers must also give careful thought to how their project will benefit local science. SCAID was designed to maximize the long-term benefits for the South Korean researchers and clinicians involved.

    To develop researchers’ careers, we hold regular seminars and workshops focused on learning skills and network building. Cross-disciplinary collaborations are one focus. For example, bioinformaticians are working with clinicians on a strategy pinpointing the specialized data that should be collected for each disease — such as acquiring information on immune receptors for specific disorders. Bioinformaticians are also exploiting the expertise of clinicians to help interpret their analyses. This includes the identification of abnormal cell states, which can be hard to distinguish from artefacts in the data without a deep knowledge of disease. These networks of contacts will be useful for many projects long after SCAID is completed.

    What next?

    Once established, local consortia need not exist in isolation. They can complement existing global projects by adding diverse data, and can act as stepping stones for future global consortia. For instance, many scientists have approached us, intrigued by the scale and potential of our work, and enquired about possible collaborations.

    We are keen for other regional groups to generate international databases from separate efforts led by those who understand their own local needs and niches best. We encourage them to start by seeking funding for a consortium to address the needs of their fellow citizens, and to eventually pool their knowledge.

    Whatever the field, if a consortium is run well, it can cultivate a dynamic cluster of competent researchers, laying the groundwork for international recognition and collaboration.

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  • Your nose has its own army of immune cells — here’s how it protects you

    Your nose has its own army of immune cells — here’s how it protects you

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    Close-up of a mother wiping a toddler's nose with tissue

    The nose knows: immune cells in the nasal passageways stand ready to produce antibodies against incoming pathogens.Credit: Getty

    The nose is home to a host of long-lived immune cells that stand ready to fend off viral and bacterial infections, according to the most detailed look to date at the immune players that make up the first line of defence for the lungs1.

    The findings, published on 31 July in Nature, show that the nose and upper airway — which includes the mouth, sinuses and throat but not the windpipe — serve as key training grounds where immune cells ‘memorize’ intruding pathogens. These memories allow the cells to defend against future attacks by similar microorganisms. The data could speed up development of mucosal vaccines, administered through the nose or throat, which immunologists say could be more effective than vaccines injected into muscles.

    This “exciting study” shows that an “arsenal of immune cells capable of fighting off respiratory infections” can be reliably detected in the upper airways of both young adults and older people, who typically have weaker immune responses, says Linda Wakim, an immunologist at the University of Melbourne in Australia, and who was not involved with the research.

    On the nose

    Previous research on the immune system has focused on immune cells in the blood and lower airways, primarily because these regions are relatively accessible through blood draws and some types of biopsy and organ donation, says study co-author Sydney Ramirez, an infectious-disease physician and immunologist at the La Jolla Institute for Immunology in California.

    Then came the COVID-19 pandemic and the emergence of variants, such as Omicron, that proliferate with high efficiency in the upper airway. These developments prompted Ramirez and her colleagues to find ways to sample and better understand how immune cells in the upper airways interact with pathogens and develop immune memory.

    The team turned to nasopharyngeal swabs, which can reach the back of the nose and were widely used in high-income countries for SARS-CoV-2 tests. The researchers swabbed about 30 healthy adults every month for more than one year to see how their immune-cell populations changed over time. They found millions of immune cells in these samples, including cells that provide immune memory.

    Nasal defence force

    The researchers also learnt that they could swab hard-to-reach immune organs called the adenoids, which are tucked away at the back of the nose. These organs analyse inhaled air and contain structures called germinal centres. These structures, which are also found in other immune tissues, act as training camps where the immune agents called B cells learn to make effective antibodies.

    Adenoids shrink in adulthood, yet the researchers found active germinal centres in the adenoids of study participants of all ages — findings that should be “reassuring for all of us over 20 years old”, Ramirez says. The researchers also inadvertently found evidence of these germinal centres’ effectiveness: several participants contracted COVID-19 during the study, and the researchers found that these participants’ noses hosted B cells that specialize in targeting SARS-CoV-2.

    Germinal centres are typically active only during and shortly after acute infection or immunization, yet the authors found active germinal centres even when participants didn’t report feeling sick. Using this new swabbing technique, researchers might soon understand what’s driving the centres’ activity and how SARS-CoV-2 infection shapes these immune responses, says Donna Farber, an immunologist at Columbia University in New York City, who was not involved with the study.

    These findings can also offer a “very valuable” quantitative method to measure the changes in immune response after vaccination, particularly to test intranasal vaccine candidates, Farber says. But she adds that they also show how high a hill there is to climb: if the immune system is constantly active in the upper airways, pre-existing antibodies might block the protective effects of intranasal vaccines.

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  • How light-based computers could cut AI’s energy needs

    How light-based computers could cut AI’s energy needs

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    Download the Nature Podcast 31 July 2024

    In this episode:

    00:45 Increasing the energy efficiency of light-based computers

    Computer components based on specialized LEDs could reduce the energy consumption of power-hungry AI systems, according to new research. AI chips with components that compute using light can run more efficiently than those using digital electronics, but these light-based systems typically use lasers that can be bulky and difficult to control. To overcome these obstacles, a team has developed a way to replace these lasers with LEDs, which are cheaper and more efficient to run. Although only a proof of concept, they demonstrate that their system can perform some tasks as well as laser-based computers.

    Research Article: Dong et al.

    News and Views: Cheap light sources could make AI more energy efficient

    10:36 Research Highlights

    The genes that make roses smell so sweet, and how blocking inflammation could reduce heart injury after a stroke.

    Research Highlight: How the rose got its iconic fragrance

    Research Highlight: Strokes can damage the heart — but reining in the immune system might help

    13:02 What researchers know about H5N1 influenza in cows

    The highly pathogenic avian influenza H5N1 was first identified in US cattle in March 2024 and has been detected in multiple herds across the country. We round up what researchers currently know about this spread, what can be done to prevent it, and the risks this outbreak may pose to humans.

    Nature News: Can H5N1 spread through cow sneezes? Experiment offers clues

    Nature News: Huge amounts of bird-flu virus found in raw milk of infected cows

    Nature News: Could bird flu in cows lead to a human outbreak? Slow response worries scientists

    Research article: Eisfeld et al.

    22:38 Briefing Chat

    NASA’s Perseverance rover finds a Martian rock containing features associated with fossilized microbial life, and how metallic nodules on the ocean floor could be the source of mysterious ‘dark oxygen’.

    Space.com: NASA’s Perseverance Mars rover finds possible signs of ancient Red Planet life

    Nature News: Mystery oxygen source discovered on the sea floor — bewildering scientists

    Subscribe to Nature Briefing, an unmissable daily round-up of science news, opinion and analysis free in your inbox every weekday.

    Never miss an episode. Subscribe to the Nature Podcast on Apple Podcasts, Spotify, YouTube Music or your favourite podcast app. An RSS feed for the Nature Podcast is available too.

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  • This kids’ brain cancer is incurable — but immune therapy holds promise

    This kids’ brain cancer is incurable — but immune therapy holds promise

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    A coloured MRI scan through a brain showing an orange glioblastoma on the right hand side

    A brain tumour called a glioblastoma (orange; artificially coloured). Researchers are now trialling engineered immune cells against these deadly tumours and others called diffuse midline gliomas.Credit: Andre Labbe, ISM/Science Photo Library

    Every two weeks at Seattle Children’s Hospital in Washington, a five-year-old child stops by for a fresh dose of genetically engineered immune cells administered directly into the fluid around their brain.

    The child has been making these visits for more than three years, after they were diagnosed with a devastating form of brain and spinal cancer called diffuse midline glioma that has no known cure. But the treatment, called CAR-T-cell therapy, seems to have shrunk their tumour and kept it in check. At 70 treatments and counting, this five-year-old might have received more doses of CAR-T-cell therapy than anyone else on the planet.

    His oncologist, Nicholas Vitanza, lights up whenever he talks about the results. Still, Vitanza is keenly aware that the child’s response is unusual. Although several children in Vitanza’s clinical trial might also have benefited from the CAR-T-cell regimen, most responses were not as dramatic or long-lasting as the five-year-old’s. Now, the question that keeps Vitanza and others in his field up at night is: how can they make that success less of an outlier?

    At the International Symposium on Pediatric Neuro-Oncology in Philadelphia, Pennsylvania, which ended earlier this month, Vitanza and other researchers presented tantalizing early clinical-trial results that suggested CAR T cells could be effective treatments for deadly central-nervous-system cancers in children.

    The trials were designed to test the therapy’s safety rather than its effectiveness, and larger trials are needed to know for sure whether the treatments are beneficial. In the meantime, researchers are eager to find ways to tweak their approach to maximize its reach. “We’re seeing a glimpse of a signal” that the approach could work, says Jasia Mahdi, a paediatric neurologist at Texas Children’s Hospital in Houston. “Our task now is to figure out how we expand on that.”

    Tumour-finding T cells

    CAR-T-cell therapies consist of immune cells called T cells that have been removed from the recipient and engineered to produce molecules dubbed chimeric antigen receptors (CAR) on their surfaces. These T cells are readministered into the body, where their new receptors enable them to recognize and destroy cancer cells.

    Despite lingering safety concerns, the approach has shown success in treating several blood cancers and, in some cases, has produced remissions lasting more than a decade. But using CAR-T-cell treatments to treat solid tumours such as those of the brain and lung is more challenging. Solid tumours can contain various cells with different mutations and differing sensitivities to the therapy. Solid tumours can also be more difficult for the T cells to penetrate.

    Even so, studies in mice have suggested that CAR T cells might work against diffuse midline gliomas. New therapies for the cancer are desperately needed: the standard treatment is radiation occasionally paired with chemotherapy, but the cancer is fatal and median survival is about 13 months after diagnosis, says Vitanza.

    Success: a diploma

    Now, the first CAR-T therapy clinical trials against diffuse midline gliomas in children have finished, and the results are promising. At the meeting in Philadelphia, Vitanza presented data from a trial in which 21 children with diffuse midline glioma were treated with CAR T cells that target a protein called B7-H3, which is found predominantly on cancer cells. Only one of those participants experienced a severe reaction to the treatment itself, and some have lived longer than expected, Vitanza says.

    Mahdi presented data from a clinical trial of a T-cell therapy that targets a molecule called GD2. In that trial, conducted at Stanford University in California, nine people with diffuse midline glioma received treatment, and tumours shrank by more than half in four of them.

    That trial also had an outlier: a young man whose cancer disappeared entirely and who has remained cancer-free for the more than 30 months since his first treatment. In that time, he has graduated high school and is now thriving at university. “All those normal things mean so much more in this context,” says Mahdi. “This reality wouldn’t have been his otherwise.”

    A menu of choices

    The researchers are eager to find ways to extend these dramatic responses to more of their study participants. Vitanza’s team has launched another trial that will test CAR T cells that target four different molecules found predominantly on brain and spinal tumours, in hopes that T cells that recognize multiple targets will be more effective.

    Another team at the University of California, San Francisco, is testing CAR T cells that express the cancer-seeking receptor only when the cells are in the central nervous system. The hope is that the T cells will be active solely where they are needed, making them less likely to become dysfunctional from “exhaustion”, a phenomenon known to limit the effectiveness of T-cell therapies, says Hideho Okada, who studies immunotherapies and is a lead investigator on the project. The team treated their first clinical-trial participant — an adult with an aggressive brain cancer called glioblastoma — in June and plans to launch a similar study in children next.

    Such modifications to CAR-T-cell therapies are only the beginning, says Vitanza. Researchers are hunting for more ways to supercharge CAR-T-cell therapies, and decades from now, physicians might be able to pick and choose from a variety of options that can be tailored for individual patients. “It’s so incredible that we’ve gotten to this point,” he says. “But in 20 years, the CAR T cells we use for patients will look very different from now.”

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  • Self-targeting antibodies tied to lower malaria risk in kids

    Self-targeting antibodies tied to lower malaria risk in kids

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  • First encounter with SARS-CoV-2: immune portraits of COVID susceptibility

    First encounter with SARS-CoV-2: immune portraits of COVID susceptibility

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    Nature, Published online: 19 June 2024; doi:10.1038/d41586-024-01644-x

    Controlled infection with SARS-CoV-2 of people who hadn’t previously been exposed to the virus reveals how molecular and cellular signatures of the immune response portend effective defence against COVID-19.

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  • Lack of an immune receptor might prevent cancers associated with Epstein–Barr virus

    Lack of an immune receptor might prevent cancers associated with Epstein–Barr virus

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    • RESEARCH BRIEFINGS

    A molecule called IL-27 is involved in several immune responses. Congenital alterations in the gene encoding a subunit of the IL-27 receptor result in susceptibility to severe infections with the Epstein–Barr virus. However, IL-27 is also required for the proliferation of virus-infected B cells that become cancerous, so deficiency in the receptor might have a protective role against cancers associated with Epstein–Barr virus.

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  • What causes long COVID? Case builds for rogue antibodies

    What causes long COVID? Case builds for rogue antibodies

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    Computer model of the secondary structure of immunoglobulin G (IgG) which takes on an equal length Y shape.

    IgG antibodies (artist rendering shown here) taken from people with long COVID and injected into mice give the animals symptoms such as increased pain sensitivity and reduced motor function.Credit: Kateryna Kon/Science Photo Library

    Antibodies isolated from people with long COVID increase pain sensitivity and reduce movement in mice when transferred to the animals, research shows1. The findings suggest that antibodies might drive some symptoms of long COVID — although how that process works is unclear, and the results will need to be replicated in larger studies.

    “I think this will be a beacon of a paper that we can take forwards to further understand long COVID,” says Resia Pretorius, an immunologist at Stellenbosch University in South Africa.

    Previous research has hinted that long COVID might be caused, at least in part, by autoantibodies — rogue antibodies that a person generates that attack their own immune system or tissues. But one big question remained: “Is it really causal?” says Jeroen den Dunnen, an infectious-disease researcher at the Amsterdam University Medical Center. In other words, do autoantibodies cause long COVID symptoms, or are they simply generated in response to a long COVID infection? Along with his colleagues, den Dunnen undertook the latest study to get an answer.

    Complex picture

    Scientists estimate that around 10–20% of people who are infected with the SARS-CoV-2 coronavirus will develop long COVID — a severe condition whose symptoms, including intense fatigue, debilitating brain fog and chronic pain, persist for at least three months after the initial infection. The condition affects at least 65 million people worldwide, but researchers still have little understanding of its causes, and there are no proven treatments.

    Some studies suggest that long COVID might be caused by persistence of SARS-CoV-2 in the body2. Others indicate that it could arise from tiny blood clots that block blood vessels and limit oxygen exchange in a person’s body3. And then there is the autoantibody hypothesis.

    To explore that mechanism, den Dunnen and his co-workers collected IgG antibodies — the most common type of antibody in human bodily fluids — from blood taken from 34 people. Participants were 43 years old, on average, and developed long COVID after having mild SARS-CoV-2 infections during the first two years of the pandemic. Most participants in the study, which was posted last month ahead of peer review to the preprint server bioRxiv1, experienced fatigue and chronic pain and had to take time off work owing to their condition.

    The researchers assigned the participants to groups on the basis of the concentrations of various inflammatory proteins in their blood, and pooled antibodies from members of each group. They then injected each mouse with one of the pools.

    The various antibody groups had distinct effects on pain perception and motor activity in the mice, says co-author Niels Eijkelkamp, an immunologist at the University Medical Center Utrecht in the Netherlands.

    The researchers discovered that mice injected with antibodies from two groups of people with long COVID were more sensitive to being pricked on the paw than were mice injected with antibodies from people who had fully recovered from mild COVID-19. There were no changes in motor function between these two groups and the control group, however.

    But when given antibodies from a third group of people with long COVID, mice walking for half an hour covered 40% less distance, on average, than did animals in the control group. And this group of animals had no change in pain sensitivity compared with control animals. This suggests that antibodies from people with long COVID can trigger a range of symptoms in mice, Eijkelkamp says. He and his colleagues think that the antibodies might cause such effects by attacking healthy tissue.

    Beacon of hope

    This study is really picking up “the mood music in long COVID research”, says Peter Openshaw, a physician and immunologist at Imperial College London, because it is adding to a growing body of evidence that autoimmunity factors into the disease. But it is based on “a relatively small number” of participants and therefore needs to be reproduced independently, he adds.

    That seems to have already happened, at least on a small scale. In a webinar hosted last month by Solve M.E., a non-profit organization based in Glendale, California, that supports long COVID research, David Putrino, a physiotherapist at the Icahn School of Medicine at Mount Sinai in New York City, discussed the results of a similar study, in which researchers injected mice with IgG antibodies from people with long COVID. These mice had increased pain sensitivity compared with those injected with antibodies from healthy people. “It’s great to see that it’s reproducible,” den Dunnen says.

    If the findings hold, clinicians might want to consider excluding individuals with long COVID from making blood donations, says Davide Robbiani, an immunologist at the Institute for Research in Biomedicine in Bellinzona, Switzerland.

    But the results might also present a new animal model for studying long COVID, says Pretorius, who is now collaborating with den Dunnen and Eijkelkamp to investigate the role of microclots in the disease.

    Danny Altmann, an immunologist at Imperial College London, is more sceptical. “Things like long COVID are really, really hard to reiterate in animal models,” he says, and it is unclear how well the symptoms observed in mice really reflect what’s going on in humans. “We’ve invested almost zero in building up those models,” he says, owing to a lack of government interest and “policymaker fatigue” in funding long COVID research. So even “if this study catalyses debate about the vacuum of small-animal models that are really holding back the field, I think it’s helpful”, he adds.

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  • How personalized cancer vaccines could keep tumours from coming back

    How personalized cancer vaccines could keep tumours from coming back

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    Angela Evatt lay face down under anaesthesia as surgeons removed a malignant mole from her back and a lymph node from her left armpit. The purpose of the operation was not only to excise the cancerous tissue from her body, but also to begin the process of crafting a personalized vaccine that would train Evatt’s immune system to attack any tumour cells left behind.

    The vaccine uses messenger RNA (mRNA), carefully constructed to encode the unique mutant proteins, known as neoantigens, that are found on the surface of Evatt’s melanoma skin cancer cells. She first received this bespoke vaccine, alongside a potent immune-stimulating drug known as a checkpoint inhibitor, as part of a clinical trial in March 2020, just months before mRNA vaccines would become household names in the fight against COVID-19.

    Every three weeks, Evatt travelled from her home in Maryland to Georgetown University’s Lombardi Comprehensive Cancer Center in Washington DC to get an injection in each arm. The mRNAs enter her healthy cells and then produce the neoantigens that educate her immune system.

    Despite Evatt experiencing severe flu-like symptoms for a day or two after each injection — fever, achiness, chills — the treatment seems to have been beneficial. Now in her mid-40s, she has remained in remission for more than three years after completing her treatments.

    As is typical of individual experiences in clinical trials, determining the precise impact of the vaccine on Evatt’s recovery is difficult. “It’s impossible to know,” she says. “I’m just happy to be cancer-free.” However, the trial that Evatt participated in is yielding promising data. According to the latest number-crunch from the 157-person study, the combination of vaccine and checkpoint inhibitor reduces the risk of disease recurrence by nearly 50% compared with treatment with the inhibitor alone. The latest analysis also indicates that the vaccine contributes to lifespan extension.

    “At the end of the day, you realize, ‘Damn! This combination seems to have activity,’” says lead trial investigator Jeffrey Weber, a cancer immunotherapy researcher at New York University Langone Health in New York City, who presented the findings on 3 June at the world’s largest annual meeting of cancer biologists and oncology specialists in Chicago, Illinois. (Weber and his colleagues published a previous analysis of the data at the beginning of this year1.)

    A larger-scale study is still needed to confirm these promising results and to support bringing the vaccine to market. A trial involving more than 1,000 people with melanoma kicked off last July; another for nearly 900 people who have a type of lung cancer began a few months later.

    But even as the cancer research community awaits further evidence, the early results have injected fresh enthusiasm into the cancer vaccine field. “It has had a big impact across all vaccine development,” says tumour immunologist Nora Disis, director of the Cancer Vaccine Institute at the University of Washington in Seattle. After decades of vaccine trial setbacks, she says, “we’ve started to see the pendulum swing”.

    Success is far from guaranteed, however, and the field is thick with unresolved questions. Companies are trying to determine which stages of cancer will see the most benefit from such treatments. They are also searching for improved ways to predict the most effective neoantigens. And it is unclear whether mRNA or some other vaccine technology is the best way to stimulate an anticancer immune response.

    As scientists continue to test the treatments, all of the pieces will need to come together.

    “We have the first proof of concept that these things can work,” says Cristina Puig-Saus, a cancer immunologist at the University of California, Los Angeles. “Now, we just need to make them better.”

    Vaccines on demand

    Moderna, the company behind the vaccine that Evatt received, is one of the industry leaders working on these improvements. Capitalizing on its experience and the financial windfall from its COVID-19 response, the company has refined its manufacturing protocols and expanded capacity to produce personalized medicines around the clock.

    In a football-pitch-sized production facility in Norwood, Massachusetts — a short drive from Moderna’s headquarters in Cambridge — dull black lines divvy up the grey floors into 15 bays, where pairs of technicians can work in parallel. Each bay houses its own ‘single use personalized RNA+’ machine, a refrigerator-sized unit that cranks out long strands of mRNA encoding up to 34 specific cancer mutations. The mutations correspond to different neoantigens, neatly arranged in a sequence. A mixing device then encapsulates the mRNA in fatty nanoparticles to enhance its stability and cellular uptake.

    “That’s the magic there,” says Elizabeth Sullivan, head of operations for the personalized vaccine programme at Moderna, as she leads a tour of the company’s manufacturing plant in mid-April.

    Less visible are the innovations that go into selecting which of the many possible tumour mutations are most likely to elicit an immune response in a vaccine recipient. A series of artificial-intelligence algorithms make this call, informed by an ever-growing repository of clinical and laboratory data from other individuals that, according to Moderna’s oncology lead, Kyle Holen, should yield better predictions over time. “It’s a therapy that learns and can continue to improve,” he says.

    Moderna, in partnership with the drug firm Merck, which is headquartered in Rahway, New Jersey, is currently conducting mid- to late-stage clinical trials of its vaccine across five kinds of cancer.

    In all of these trials, the companies administer their experimental vaccine to people who, like Evatt, have had their tumours surgically removed but still face a high risk of cancer recurrence. By training the immune system’s T cells to identify and eliminate cancer cells at this stage, the objective is to avert a relapse — an approach known as adjuvant therapy.

    Moderna executives have also raised the possibility of the vaccine being used against later-stage disease, when the cancer has spread to distant sites throughout the body, a process known as metastasis. But, so far, the field has had limited success in this setting. Although initial trials have often found that personalized vaccines produce anticancer T cells in individuals with these types of advanced cancer, those immune responses rarely lead to tumour regression or long-term survival benefits.

    Angela Evatt in Italy in 2023

    Angela Evatt received an mRNA cancer vaccine in March 2020, after having cancerous tissue on her back removed. The cancer has not returned.Credit: Angela Evatt

    “It’s very hard to eradicate established tumours,” says Gal Cafri, a cancer immunologist at the Sheba Medical Center in Ramat Gan, Israel. The types of T-cell response that cancer vaccines elicit are well equipped for restraining the growth of small, residual tumours, which helps to prevent disease recurrence after surgery. However, these vaccines are less effective against large, established tumours, which have often evolved aggressive tactics that involve shielding themselves from immune attacks.

    Moreover, early-stage cancers tend be slower-growing than late-stage ones, which gives drug developers the 1–4 months they need to design, manufacture and deliver the personalized vaccines to patients. Then, once the vaccine enters the body, more “time is needed to build up an immune response”, says Uğur Şahin, co-founder and chief executive of the biotechnology company BioNTech in Mainz, Germany, which is developing a personalized cancer vaccine in collaboration with biotech firm Genentech in South San Francisco, California.

    According to Sahin and Ira Mellman, head of cancer immunology at Genentech, all of these considerations factored into the companies’ joint decision to evaluate their bespoke mRNA vaccine as a post-surgical treatment for people with high-risk colorectal and pancreatic cancers that are still localized and have not yet spread across the body. “When thinking about where is the best place to put a cancer vaccine that would give it the best chance of succeeding and establishing at least proof of concept,” Mellman says, “all roads lead to adjuvant or early disease.”

    He even keeps a coffee mug on his desk to commemorate when this strategic decision was made. It reads “2018 A.D.”, standing for ‘Adjuvant Day’.

    Special delivery

    Both the Moderna–Merck and BioNTech–Genentech vaccines are formulated as mRNA. But that is not the only way to encode neoantigens for processing and presentation to the immune system.

    In place of mRNA, many companies and academic groups rely on DNA, peptides or genetically engineered viruses. As Niranjan Sardesai, founder and chief executive of Geneos Therapeutics in Philadelphia, Pennsylvania, points out, each approach triggers its own type of immune response, which could affect the success of any vaccine candidate. “How you deliver these antigens is just as crucial as which antigens you deliver,” Sardesai says.

    Some platforms, for example, excel at eliciting ‘killer’ T cells, which are thought to perform the bulk of tumour-cell destruction. However, the real-world impact of such an immunological difference remains to be seen, because only the vaccine developed by Moderna and Merck has so far shown success in a randomized trial.

    A bigger differentiator, researchers say, could be the computational engines that help to determine the vaccine’s composition. Each engine has its own proprietary suite of tools that it uses to select which neoantigens to target.

    Most companies start with genetic sequencing of data from tumours and healthy tissues to reveal the mutations that cropped up during cancer development. T cells will not recognize all of these mutations, however, so algorithms are used to prioritize a subset — Moderna uses up to 34, BioNTech up to 20 — that are predicted to have the most potent immune-stimulating effects.

    Such predictions are made on the basis of various factors, such as the levels at which neoantigens are expressed on tumour surfaces and their anticipated binding to cellular receptors that aid in provoking a T-cell response. Machine-learning models then incorporate experimental data to improve the accuracy of these tools.

    The algorithms can miss their mark in provoking a cancer-directed immune response, however. “Only a small percentage of the predicted neoantigens turn out to be immunogenic,” notes Neeha Zaidi, an oncologist at the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University in Baltimore, Maryland.

    In a small study2 of the BioNTech–Genentech vaccine for treating pancreatic tumours, for example, only half of the trial participants developed T cells that were directed against any of the vaccine-encoded mutations. And among those who did, around half formed T cells against just a single neoantigen, even though the vaccines generally contained the instructions for making ten or more targets2.

    “Once in a while, the stars line up,” says Alex Rubinsteyn, a computational biologist at the University of North Carolina–Chapel Hill who designs neoantigen prediction tools for personalized cancer vaccines. But, he says, instances in which several of the chosen antigens elicit anti-tumour activity could be the exception rather than the rule. Benjamin Vincent, a tumour immunologist, also at the University of North Carolina–Chapel Hill, agrees: “The field really, really wants to just say, ‘We can predict this from the genomics data only.’ It really wants it so bad, everyone is just doing it. But that doesn’t make it robust.”

    Addressing this issue head on, many researchers are now supplementing their computational tools with further experimental data. In February, for example, a joint team at the La Jolla Institute for Immunology and the University of California, San Diego described a platform that uses DNA sequencing and gene-expression analyses on tumours to first identify potential neoantigens, as many others do already. The process then goes a step further by searching in patient blood samples for T cells that actually recognize those antigens3.

    This kind of method is going to become more important and more prevalent, according to Stephen Schoenberger, a translational immunologist who co-led the study. “It verifies rather than merely predicts which mutations are neoantigens,” says Schoenberger, who is also chief executive and chief scientific officer of Lykeion, a company he co-founded in La Jolla to develop personalized vaccines informed by this method.

    Sachet Shukla, a computational biologist at the University of Texas MD Anderson Cancer Center in Houston, is hopeful that the immune-stimulating potential of personalized cancer vaccines will improve as the research community amasses more of this information. “I think you’ll see another step jump in the accuracy of these algorithms,” he says.

    When that happens, he anticipates that cancer vaccines, long regarded as ineffectual, will finally become a staple of oncology treatment: “It’s an idea whose time has come.”

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