Juan Lama
@juanlama.bsky.social
34 followers
2 following
140 posts
Chief Scientific Officer at RetroVirox Inc.
Molecular Virologist with interests in Public Health and antiviral discovery, supporting the efforts of Biotechnology and Pharmaceutical companies developing the antivirals and vaccines of the future
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Juan Lama
@juanlama.bsky.social
· Sep 19
New Test for Early Detection of HPV-Associated Oropharyngeal Cancer
Purpose
Early detection of HPV-associated oropharyngeal cancer (HPV+OPSCC), the most common HPV cancer in the United States, could reduce disease-related morbidity and mortality, yet currently, there are no early detection tests. Circulating tumor HPV DNA (ctHPVDNA) is a sensitive and specific biomarker for HPV+OPSCC at diagnosis. It is unknown if ctHPVDNA is detectable prior to diagnosis, and thus it’s potential as an early detection test.
Methods
Plasma samples from the MassGeneralBrigham biobank collected 1.3-10.8 years prior to diagnosis from HPV+OPSCC patients (n = 28) and age- and sex-matched controls (n = 28) were blinded and run on a newly developed and validated multi-feature HPV whole genome sequencing liquid biopsy assay and a validated HPV antibody assay.
Results
ctHPVDNA results were positive in 22/28 pre-diagnostic samples from HPV+OPSCC cases (sensitivity 79%) with a maximum lead time of 7.8 years. ctHPVDNA results were negative in all controls (0/28 controls, 100% specificity). Diagnostic accuracy was highest within four years of cancer diagnosis and was higher than HPV Ab detection within the same time frame (p-value 0.004). Application of a machine learning model trained and tested on an independent cohort of 306 cases and controls increased the sensitivity of detection to 27/28 cases (overall sensitivity 96%) and the maximum lead time to 10.3 years.
Conclusions
Circulating tumor HPV DNA can be detected in the blood years prior to diagnosis with HPV+OPSCC, with high specificity, in a case-control cohort of 56 participants. ctHPVDNA detection alone, or in combination with previously identified serological biomarkers may be a feasible approach to early detection of HPV+OPSCC.
Published Sept. (10, 2025):
https://doi.org/10.1093/jnci/djaf249
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Juan Lama
@juanlama.bsky.social
· Sep 18
Database of Antiviral Agents Against Human Infectious Diseases
Viral infectious diseases have caused millions of deaths worldwide. Antiviral agents are critical for controlling these infections; however, an open-access database dedicated specifically to antiviral agents remains unavailable. Here, we present AntiviralDB (https://www.antiviraldb.com/), an expert-curated resource that compiles both approved and experimental antiviral agents with laboratory-confirmed in vitro activity against a broad spectrum of human viruses. These include the human immunodeficiency virus, coronaviruses, hepatitis viruses, influenza virus, respiratory syncytial virus, herpes simplex virus, varicella-zoster virus, human cytomegalovirus, human papillomavirus, dengue virus, Zika virus, Ebola virus, mpox virus, norovirus, chikungunya virus, and 16 other common or life-threatening pathogens.
Each antiviral agent in the database is annotated with key information, including its molecular target, in vitro antiviral activity (IC50, EC50, and CC50 across specific viral strains and cell lines), mechanism of action, and relevant pharmacokinetic and pharmacodynamic parameters. AntiviralDB also provides clinical efficacy and safety data derived from randomized clinical trials. Unlike existing drug databases, AntiviralDB offers two distinctive features: (i) standardized laboratory protocols for antiviral drug screening under appropriate biosafety conditions and (ii) clinical guidelines for the therapeutic use of antiviral agents against viral infections. By serving as a comprehensive repository of antiviral agents and their clinical applications, AntiviralDB aims to advance antiviral drug discovery and support the effective clinical management of viral infectious diseases. IMPORTANCE Over the past decade, viral infectious diseases have caused significant morbidity and mortality worldwide, underscoring the urgent need for effective antiviral therapies. However, there is a lack of an open-access database that consolidates detailed information on antiviral agents, clinical guidelines, and laboratory protocols. To address this need, AntiviralDB was developed to integrate extensive data on antiviral agents—including clinical efficacy, safety profiles, pharmacokinetic parameters, and in vitro and in vivo activities—together with standardized experimental protocols and clinical treatment guidelines. This resource empowers researchers and clinicians to (i) identify promising antiviral candidates for controlling infectious diseases, (ii) accelerate the discovery and development of novel therapeutics, (iii) optimize the clinical use of existing antiviral drugs, and (iv) enhance a quick response to emerging viral outbreaks.
Published in Mbio (Sept. 11, 2025):
https://doi.org/10.1128/mbio.02013-25
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Juan Lama
@juanlama.bsky.social
· Sep 17
Man's COVID Infection Lasted 2 Years, Setting a New Record
An immunocompromised man endured ongoing acute COVID-19 for more than 750 days. During this time, he experienced persistent respiratory symptoms and was hospitalized five times. In spite of its duration, the man's condition differs from long COVID as it wasn't a case of symptoms lingering once the virus had cleared out, but the viral phase of SARS-CoV-2 that continued for over two years. While this record may be easy to dismiss as something that occurs only to vulnerable people, persistent infections have implications for us all, US researchers warn in their new study. "Long-term infections allow the virus to explore ways to infect cells more efficiently, and [this study] adds to the evidence that more transmissible variants have emerged from such infections," Harvard University epidemiologist William Hanage told Sophia Abene at Contagion Live. "Effectively treating such cases is hence a priority for both the health of the individual and the community."
Boston University bioinformatician Joseline Velasquez-Reyes and colleagues' genetic analysis of viral samples collected from the patient between March 2021 and July 2022 revealed what the virus was up to during its extended invasion. The virus's mutation rate within the patient ended up similar to that usually seen across a community. What's more, some of these mutations were awfully familiar. Spike mutations matched positions of those seen in the omicron variant of SARS-CoV-2, for example. Within just one person, the same types of mutations that led to the emergence of the faster multiplying omicron variant were on their way to being repeated. This backs the theory that omicron-like changes developed from selection pressures the virus experiences inside our bodies, the researchers explain. The patient, who has advanced HIV-1, believes they contracted SARS-CoV-2 in mid-May of 2020. During this time, he was not receiving antiretroviral therapy, nor able to access the necessary medical care despite suffering from respiratory symptoms, headaches, body aches, and weakness. The 41-year-old had an immune helper T-cell count of just 35 cells per microliter of blood, explaining how the virus managed to persist for so long. The healthy range is 500 to 1,500 cells per microliter. Luckily, in this case at least, the stubborn invader was not highly infectious.
"The inferred absence of onward infections might indicate a loss of transmissibility during adaptation to a single host," Velasquez-Reyes and team suspect. Still, there's no guarantee other infections that establish long-term camps inside us will follow the same evolutionary path, which is why experts are wary and calling for continued close monitoring of COVID and adequate access to healthcare for everyone. "Clearing these infections should be a priority for health-care systems," the researchers conclude. To reduce the chances of problematic mutations, physicians and researchers urge communities to keep up vaccinations and continue masking in crowded, enclosed areas.
Research published in TheLancet (Septmember 2025):
https://doi.org/10.1016/j.lanmic.2025.101122
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Juan Lama
@juanlama.bsky.social
· Sep 16
Flu-CNN: Identifying Host Specificity of Influenza A Virus Using Convolutional Networks
Influenza A viruses (IAVs) have historically posed significant public health threats, causing severe pandemics. Viral host specificity is typically constrained by host barriers, limiting the range of species that can be infected. However, these barriers are not absolute, and occasionally, cross-species transmission occurs, leading to human outbreaks. Early identification of changes in IAV host specificity is, therefore, critical. Despite advancements, identifying host susceptibility from genomic sequences during outbreaks remains challenging. Timely predictions are critical for effective real-time outbreak management and risk mitigation during the early stages of an epidemic.
To address this, we proposed Flu-level Convolutional Neural Networks (Flu-CNN), a model designed to analyze genomic segments and identify IAV host specificity, with a particular focus on avian influenza viruses that could potentially infect humans. Extensive evaluations on large-scale genomic datasets containing 911,098 sequences show that Flu-CNN achieves an impressive 99% accuracy in determining host specificity from a single genomic segment, even for high-risk subtypes like H5N1, H7N9, and H9N2, which have a limited number of viral strains. Given its high level of accuracy, the model was applied to identify key mutations and assess the zoonotic potential of these strains. Furthermore, our study presents a pioneering approach for predicting IAV host specificity, offering novel insights into the evolutionary trajectory of these viruses. The model’s significance extends beyond evolutionary analysis, playing a pivotal role in outbreak surveillance and contributing to efforts aimed at preventing the viral spread on a global scale.
Published (August 22, 2025) in Human Genomcs:
https://doi.org/10.1186/s40246-025-00812-y
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Juan Lama
@juanlama.bsky.social
· Sep 15
Systematic Review and Meta-Analysis of Enteric Virus Shedding in Human Excretions
Background Wastewater-based epidemiology can inform the understanding of infectious disease occurrence in communities. Quantitative information on shedding of pathogen biomarkers in excretions that enter wastewater is needed to link measurements of pathogen biomarkers to rates of disease occurrence. Methods We compile, summarise, and compare data on shedding of human norovirus, rotavirus, hepatitis A virus, and adenovirus group F in stool, vomit, urine, saliva, mucus, and sputum using a systematic review and meta-analysis approach. Findings We provide summaries of measured concentrations of the viruses across excretions where data exist. We provide longitudinal shedding profiles in terms of concentrations and positivity rates. Duration of shedding and day of peak shedding are also provided. Interpretation There are limited data available for excretions other than stool, and limited data available for adenovirus group F. The aggregated data provided herein can serve as model inputs to translate wastewater enteric virus biomarker concentrations to disease occurrence rates. The study highlights data gaps and research needs.
Published in eBiomedicine (August 5, 2025):
https://doi.org/10.1016/j.ebiom.2025.105878
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Juan Lama
@juanlama.bsky.social
· Sep 13
Measles Death Shows How Virus Can Hide in the Brain for Years
A child in Los Angeles County has died from a rare but always fatal brain disorder that develops years after a measles infection. Experts underscore the need for vaccination to protect the most vulnerable. The first dose of the vaccine is typically not administered until one year of age. Experts say the death underscores the need for high levels of vaccination in a population to protect the most vulnerable against the disease, as well as from side effects that can occur long after the initial illness has passed. “This case is a painful reminder of how dangerous measles can be, especially for our most vulnerable community members,” said Los Angeles County Health Officer Muntu Davis in a recent statement. The child who died suffered from subacute sclerosing panencephalitis (SSPE), a progressive brain disorder that usually develops two to 10 years after a measles infection. The measles virus appears to mutate into a form that avoids detection by the immune system, allowing it to hide in the brain and eventually destroy neurons. “It’s just a virus that goes unchecked and destroys brain tissue, and we have no therapy for it,” said Walter Orenstein, an epidemiologist and professor emeritus at Emory University, to Scientific American earlier this year.
People with SSPE experience a gradual, worsening loss of neurological function and usually die within one to three years after diagnosis, according to the Los Angeles County Health Department. The disorder affects only about one in every 10,000 people who contract measles. But the risk may be as high as about one in 600 for those who are infected as infants. “There is no treatment for this. Children who suffer from this will always die,” said Paul Offit, director of the Vaccine Education Center and an attending physician in the Division of Infectious Diseases at Children’s Hospital of Philadelphia, in a previous interview with Scientific American. Offit, who had measles himself in the 1950s, has seen five or 10 cases of SSPE in his career. SSPE is one of several side effects of measles that go beyond the coughing, runny nose and characteristic rash of the original infection. Measles can also cause encephalitis, a faster-occurring brain inflammation, in one in every 1,000 people who are infected because the virus causes the immune system to attack a protein produced by certain brain cells. This inflammation kills about one in five people who develop it. Measles also causes “immune amnesia”: the virus seems to attack the immune system’s B cells, which remember previous pathogens the body has been exposed to, resulting in reduced immunity. There is some evidence this effect can last for a couple of years, making those who get measles more susceptible to other infectious diseases. These side effects are of particular concern because the measles virus is highly contagious—an order of magnitude more than seasonal influenza. With measles, viral particles emitted by coughing or sneezing can linger in a room for hours after the infected person has left. One infected person infects 15 more people on average.
This year the U.S. saw its largest single measles outbreak since the disease was declared eliminated in 2000;the recent outbreak occurred mainly in Texas, New Mexico, Kansas and Oklahoma. Most of those infected were unvaccinated or had an unknown vaccination status. Of those infected, 12 percent were hospitalized, and three died of complications from the infection. The fatal cases included the first death of a child from measles in the U.S. in 22 years. Measles used to infect three million to four million people in the nation every year until vaccines became available in 1963. The measles vaccine is administered in two doses: typically, the first is given between 12 and 15 months of age and the second is given at four to six years. One dose is 93 percent effective at protection against infection, and two doses are 97 percent effective. Contrary to claims by Secretary of Health and Human Services Robert F. Kennedy, Jr., measles cannot be treated by vitamin A or cod liver oil. There is no cure or treatment for the disease beyond treatment of symptoms. The only effective means of combatting measles is widespread vaccination. At least 95 percent of a population must be vaccinated to prevent the spread of the disease and to protect either those who are too young to receive it or those who cannot be vaccinated because of other health conditions. “Infants too young to be vaccinated rely on all of us to help protect them through community immunity,” Davis said in his recent statement. “Vaccination is not just about protecting yourself—it's about protecting your family, your neighbors, and especially children who are too young to be vaccinated.”
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Juan Lama
@juanlama.bsky.social
· Sep 11
Antibody Cocktail Could Work as a Universal Flu Treatment
A mix of three antibodies seems to protect mice against several strains of influenza and could one day be useful against seasonal flu or pandemics. A cocktail of antibodies could give us a new weapon to fight seasonal flu and new strains that cause pandemics. The mix protected mice from various strains of influenza, but hasn’t yet been tested in humans. Most flu treatments and vaccines rely on prompting the body to make proteins called neutralising antibodies. These bind to specific strains of a virus, preventing it from infecting cells. Such medical interventions can be very effective, but can take many months to develop and may lose effectiveness if the virus mutates. This is why flu vaccines are updated seasonally and why researchers are working on a universal vaccine that would protect against all flu strains or even against all viruses. Silke Paust at the Jackson Laboratory in Farmington, Connecticut, and her colleagues have a different approach. They are focusing on non-neutralising antibodies, another kind of protein produced by the immune system. Researchers have largely ignored these proteins for fighting infectious diseases because they don’t prevent infection. Instead, they empower the immune system to kill the virus responsible by tagging already infected lung cells. “We are making a therapy, not a vaccine. What we are trying to do is create a drug that you can give prophylactically or therapeutically after infection to prevent severe disease and death,” says Paust.
Paust and her colleagues focused on antibodies that would target an influenza virus protein in a region called M2e, which is essential for the virus to replicate itself and is nearly unchanged in all flu strains. The researchers conducted a series of experiments in which they tested how well the antibodies worked individually or in combination in mice that were infected with a flu virus, and found that combining three antibodies gave the best results. They tested the cocktail in mice exposed to two strains of H1N1 influenza, including the one that caused the 2009 swine flu pandemic and gave rise to the currently circulating H1N1, and two avian influenza strains: H5N1, which is infecting wildlife around the world and some livestock in the US, and H7N9, which can be deadly to both humans and other animals. The researchers discovered that the cocktail reduced disease severity and the amount of virus in the lungs, and improved survival rates in both healthy and immunocompromised animals. For H7N9, for example, all mice survived when given the antibody cocktail in the first three days after infection, 70 per cent survived if treated on day four and 60 per cent if treated on day five. It is the first time we have seen such broad protection against flu in living animals, says Paust. The cocktail also worked when given before infection, so the drug could potentially be used in advance to prevent illness.
Even after 24 days of treatment, there were no signs of the virus successfully mutating to resist it. “If the virus wants to mutate away from the therapy, it would have to evade all three antibodies because they don’t bind in exactly the same way,” says Paust. “As a proof of principle, this shows how a cocktail of antibodies might be utilised as a drug to treat people during a flu pandemic which could be used in parallel to vaccines,” says Daniel Davis at Imperial College London. “But this would need to be tested in humans before this can be considered a true medical advance.” The next step, says Paust, is to alter the antibodies that target M2e to make them look like human proteins, so the immune system doesn’t see them as invaders and attack them, which has been done before with many antibodies. If that works, safety and efficacy trials would follow. Paust envisions the cocktail being used as a stockpiled drug to fight seasonal flu outbreaks. “Ideally, this would be something to give to high-risk patients at the beginning of the season,” she says. “It would mean that they wouldn’t get very ill, essentially.”
Research Published in Science Advances:
https://www.science.org/doi/10.1126/sciadv.adx3505
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Juan Lama
@juanlama.bsky.social
· Sep 8
Effect of Metformin on the Risk of Post-Coronavirus Disease 2019 Condition Among Individuals With Overweight or Obese
Background
A subgroup analysis of the COVID-OUT trial's long-term outcome found that starting metformin within 3 days of coronavirus disease 2019 (COVID-19) diagnosis reduced post–COVID-19 condition (PCC) incidence by 63% in overweight or obese individuals. However, its generalizability remains uncertain.
Objectives
To evaluate the effectiveness of metformin in preventing PCC in adults with overweight or obesity who had a recent COVID-19 infection.
Design
A retrospective cohort study using a sequential target trial emulation framework.
Data Sources
The United Kingdom primary care data from the Clinical Practice Research Datalink Aurum database from March 2020 to July 2023.
Participants
Adults with overweight or obesity (body mass index ≥ 25 kg/m²) and a record of severe acute respiratory syndrome coronavirus 2 infection were included. Exclusions included metformin use in the prior year or metformin contraindications.
Measurements
The outcome was PCC, defined by a PCC diagnostic code or at least 1 World Health Organization–listed symptoms between 90 and 365 days after diagnosis, with no prior history of the symptom within 180 days before infection. The pooled hazard ratio and risk difference for the incidence of PCC were adjust for baseline characteristics.
Results
Among 624 308 patients, 2976 initiated metformin within 90 days of COVID-19 diagnosis. The 1-year risk difference for PCC in the intention-to-treat analysis was −12.58% (hazard ratio 0.36; 95% CI, 0.32–0.41), with consistent results in subgroup analyses.
Limitations
Findings may not apply to individuals with a normal body mass index.
Conclusions
Early metformin treatment in overweight or obese individuals may reduce PCC risk. Further research is needed to confirm causality and clarify metformin's role in PCC management.
Published in Clinical Infect. Diseaseses (Sept.1):
https://doi.org/10.1093/cid/ciaf429
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Juan Lama
@juanlama.bsky.social
· Sep 8
David Baltimore, Nobel-Winning Molecular Biologist, Dies at 87
He was only 37 when he made a discovery that challenged the existing tenets of biology and led to an understanding of retroviruses and viruses, including H.I.V. David Baltimore, a biologist who in 1975 won a Nobel Prize for a startling discovery that seemed to rock the foundations of the fledgling field of molecular biology, died on Saturday at his home in Woods Hole, Mass. He was 87. The cause was complications of several cancers, his wife, Alice Huang, said. Dr. Baltimore was only 37 when he made his Nobel-winning discovery, upending what was called the central dogma, which stated that information in cells flowed in only one direction — from DNA to RNA to the synthesis of proteins. Dr. Baltimore showed that information can also flow in the reverse direction, from RNA to DNA. The key was finding a viral enzyme, called a transcriptase, that reversed the process. The discovery led to an understanding of retroviruses and viruses, including H.I.V., that use this enzyme. Today, gene therapies with disabled retroviruses are used to insert good genes into patients’ DNA to correct genetic diseases. Admired and envied, lionized and attacked, Dr. Baltimore spent most of his life in the scientific limelight, a towering figure of modern biology. He was president of two leading universities and an early proponent of AIDs research; he also fought what turned out to be trumped-up charges of fraud in a highly publicized decade-long case, beginning in the 1980s, involving accusations that a researcher in his lab had misreported data.
In 1968, Dr. Baltimore joined the faculty of the Massachusetts Institute of Technology. Two years later, he began the work that would win him the Nobel Prize. It was a time when a group of Young Turks ruled the M.I.T. biology department. Dr. Baltimore was most definitely one of them, with a coterie of graduate student aspirants who hung onto his every word and vied to work in his lab. “Most of us young faculty at M.I.T. were thought of as arrogant,” his friend David Botstein, a former Princeton professor, said in an interview for this obituary. “David fit into that culture of competitive smartness. He was the smartest of all.” Dr. Baltimore first presented his data overthrowing the central dogma at an evening seminar in an M.I.T. classroom, inviting just faculty and friends. Dr. Botstein was there. “I remember it like it was yesterday,” Dr. Botstein said. “It was in room 16-310. He gave this talk and I remember walking out of it and saying to Maurie Fox” — another faculty member — “‘He is going to get the Nobel Prize for that.’” A few years later, it happened.
Dr. Huang, an accomplished biologist who was working with Dr. Baltimore in his lab when he made the prizewinning discovery, was among the first to know. In 1975 she was at a conference in Copenhagen where George Klein, a scientist who was scheduled to give a talk, suddenly announced that he had been with a committee that decided on Nobel Prizes. In half an hour, Dr. Klein said, the committee would announce that Dr. Baltimore had won the Nobel Prize for Physiology or Medicine, along with two others: Howard Temin, who had independently made the same discovery, and Renato Dulbecco, for his work on tumor viruses. Dr. Huang “immediately got on the phone and called me,” Dr. Baltimore said in an interview for this obituary. He speculated that he was probably “the only person who ever was told he had won a Nobel Prize by his wife.” David Baltimore was born on March 7, 1938, in Manhattan to Richard and Gertrude (Lipschitz) Baltimore. His parents moved to Great Neck, N.Y., on Long Island, when he was in second grade so he and his younger brother, Robert, could attend better schools......
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