It’s possible that I shall make an ass of myself. But in that case one can always get out of it with a little dialectic. I have, of course, so worded my proposition as to be right either way (K.Marx, Letter to F.Engels on the Indian Mutiny)
Mycobacterium abscessus can cause dangerous lung infections.
Treatment usually requires a combination of antibiotics for more than a year.
Researchers in China report that curcumin, found in turmeric, can enhance treatment with bedaquiline, an antimycobacterial.
Animal studies showed that treatment with the combination led to a faster clearance of the infection.
Washington, D.C.—Mycobacterium abscessus is a fast-growing, pathogenic mycobacteria that can cause lung infections, and people who have respiratory conditions or are immunocompromised face a higher risk. It can also cause skin infections. The microbe is closely related to the one that causes tuberculosis and is naturally resistant to many antibiotics. Infections often require a year or more of a combination of drugs.
A study published this week in Microbiology Spectrum reports a potential way to improve treatment: Add a little spice. Researchers at Shanghai Jiao Tong University, in China, found that adding curcumin boosts the efficacy of bedaquiline, an antimycobacterial used to treat tuberculosis, in combating M. abscessus infections. Curcumin is the compound that gives turmeric its characteristic bright orange color.
“This low-toxicity natural product combined with existing drugs could pioneer new treatment pathways for resistant infections,” said microbiologist Zhe Wang, Ph.D, senior author on the study. “It’s particularly relevant in immunocompromised populations,” Wang added, who are more vulnerable to these infections.
Wang’s lab focuses on innovative approaches to treating infectious disease; those approaches include repurposing known drugs and finding ways to combine natural products with known treatments. They knew that treatment for M. abscessus often leads to poor outcomes—only about half of people who undergo treatment become non-infectious, according to previous studies. Bedaquiline is an antibiotic used to treat multidrug-resistant tuberculosis and has shown some promise in relieving symptoms of non-tuberculosis mycobacterial infections, including M. abscessus. However, the drug does not eliminate all the infectious microbes from a sample.
The researchers, searching for ways to boost the efficacy of bedaquiline, investigated curcumin, which has long been used in traditional Asian medicine to treat a wide variety of conditions. Previous pharmacological studies suggest that curcumin has protective effects against tuberculosis.
In lab studies, the researchers found that bedaquiline alone first inhibited the growth of M. abscessus, but the bacteria began to grow again after 2 weeks. The combination of the drug and curcumin, however, suppressed the growth and reproduction of the bacteria, suggesting that curcumin may act as an antibiotic resistance breaker. In mice, the researchers found that the drug combination slowed or stopped infection better than either compound alone, both in immunocompromised mice and those with a healthy immune system. “The combination demonstrates synergistic enhancement of antibacterial activity and improved infection clearance,” Wang said.
The researchers are now investigating the specific molecular targets that play a role in the mechanisms behind the effects of the combination therapy. They’re also evaluating the combination against other resistant mycobacterial strains and conducting safety assessment to prepare for clinical trials and, down the road, the development of new therapeutics. “This study highlights the innovative value of combining drug repurposing with natural products,” Wang said.
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The American Society for Microbiology is one of the largest professional societies dedicated to the life sciences and is composed of over 37,000 scientists and health practitioners. ASM's mission is to promote and advance the microbial sciences.
ASM advances the microbial sciences through conferences, publications, certifications, educational opportunities and advocacy efforts. It enhances laboratory capacity around the globe through training and resources. It provides a network for scientists in academia, industry and clinical settings. Additionally, ASM promotes a deeper understanding of the microbial sciences to all audiences.
Journal
Microbiology Spectrum
Coastal guardians pioneer a new way to protect the Florida Keys’ shorelines
Researchers create new tool to identify most effective stabilization methods to prevent erosion and damage
About 8% of the Florida Keys’ coastline is suitable for nature-based or hybrid solutions, while 25.1% is unsuitable, and 67% is already vegetated or naturally protected.
By 2050, sea levels along the United States coast are expected to rise by 0.25 to 0.30 meters, increasing flooding in low-lying areas. Due to its unique geography and infrastructure network, the Florida Keys is particularly at risk of climate hazards such as sea level rise, hurricanes and flooding. Since 2015, the Florida Keys has experienced four hurricanes – Irma (2107), Ian (2022), Helene (2024) and Milton (2024).
Nature-based solutions, such as restoring mangroves and coastal strands, can help mitigate these risks by stabilizing shorelines, improving ecosystems and enhancing resilience to flooding and hurricanes. These solutions, alongside hybrid approaches and soft armoring, which uses natural materials like plants, sand dunes, or rocks to protect shorelines from erosion, offer effective, site-specific protection.
While living shorelines are beneficial, they require careful design and planning to optimize their effectiveness.
Researchers from Florida Atlantic University, in collaboration with The Nature Conservancy, created a new tool to identify the most effective shoreline stabilization methods to prevent erosion and protect the Florida Keys from damage caused by natural forces like waves, tides and storms. Maintaining the shape and integrity of the shoreline reduces the risk of further erosion while protecting ecosystems, properties and infrastructure.
The goal is to guide decisions on using vegetated shorelines or combining them with structures to reduce waves, prevent erosion and protect Florida Keys communities from storms.
Results of the study, published in the Journal of Marine Science Engineering, reveal that nearly 8% of the approximately 2,550 kilometers of shoreline in the Florida Keys is suitable for nature-based solutions – mangrove planting, oyster reefs and beach dune vegetation – or hybrid solutions – some combination of hard structures and vegetation. Conversely, roughly 25.1% of the Florida Keys shoreline was deemed unsuitable for nature-based approaches, and approximately 67% is already vegetated or represents some other type of natural shoreline.
For the study, researchers designed a GIS-based multi-criteria decision tool that facilitates coastal restoration and integrates nature-based solutions into conventional shoreline armoring. They combined spatial analysis tools with expert input to develop a weighted suitability score for various types of shoreline reinforcement where feasible. By integrating data on existing shoreline types – sourced from an updated version of NOAA’s NOS Environmental Sensitivity Index – along with wind and wave exposure and physical environmental factors, they generated a composite Shoreline Relative Exposure Index. Based on this assessment, broadly defined categories of project types were recommended for various combinations of shoreline features and flood risk conditions.
Experts who completed the survey covered coastal engineering, stormwater management, marine biology, habitat restoration, community resilience, urban planning and sustainability. The data was used to calculate scores, which were analyzed through a machine-learning model to identify the best stabilization options for different shoreline types, including developed, undeveloped and protected areas.
Findings indicate that while conventional seawall armoring is needed in some areas of the Florida Keys coastline, hybrid and living shorelines should be prioritized where possible to protect people, habitats and resources. This requires involvement from private stakeholders and coordination among public entities to strengthen coastal resilience.
“Implementing innovative shoreline stabilization methods is crucial as environmental shifts and population growth are expected to exacerbate flood management challenges, making it essential to adopt sustainable, nature-based solutions that enhance resilience and protect vulnerable communities,” said Diana Mitsova, Ph.D., senior author and chair and professor of the Department of Urban and Regional Planning within FAU’s Charles E. Schmidt College of Science.
South Florida’s coastal ecosystems, including mangrove swamps and coastal strands, have already been incorporated into various shoreline management practices that reduce erosion potential and create appropriate habitat conditions. Mangroves are essential for sustaining estuarine and marine ecosystems in South Florida, providing critical habitat, stabilizing shorelines and supporting biodiversity. They offer nesting spots for many species and help the marine food chain by being a main source of small bits of organic matter. Their complex root systems keep the soil in place, reduce water cloudiness and help collect debris and particles in the water.
“New improvements in geospatial technology now allow us to combine human-made impact data with local land and ocean environmental data across large areas,” said Chris Bergh, field program director at The Nature Conservancy. “This information helps coastal managers identify key areas that need protection or are important for commercial and recreational activities. By doing this, it can help avoid conflicts between different uses of the coast and create a more flexible, forward-thinking and sustainable way of managing the area.”
The data from this study can be accessed through The Nature Conservancy’s Coastal Resilience, an online tool that uses GIS technology to help users visualize proposed shoreline stabilization methods tailored to different areas of the Florida Keys. It also allows users to overlay local data, like projected sea level rise, coastal habitats and land use.
Study co-authors are Kevin Cresswell, Ph.D., an adjunct faculty in the FAU Department of Urban and Regional Planning; Melina Matos, Ph.D., an assistant professor in the FAU Department of Urban and Regional Planning; Stephanie Wakefield, Ph.D., an assistant professor in the FAU Department of Urban and Regional Planning; Kathleen Freeman, GIS specialist, The Nature Conservancy; and William Carlos Lima, Ph.D., an adjunct faculty in FAU Department of Urban and Regional Planning.
- FAU -
About Florida Atlantic University: Florida Atlantic University, established in 1961, officially opened its doors in 1964 as the fifth public university in Florida. Today, Florida Atlantic serves more than 30,000 undergraduate and graduate students across six campuses located along the Southeast Florida coast. In recent years, the University has doubled its research expenditures and outpaced its peers in student achievement rates. Through the coexistence of access and excellence, Florida Atlantic embodies an innovative model where traditional achievement gaps vanish. Florida Atlantic is designated as a Hispanic-serving institution, ranked as a top public university by U.S. News & World Report, and holds the designation of “R1: Very High Research Spending and Doctorate Production” by the Carnegie Classification of Institutions of Higher Education. Florida Atlantic shares this status with less than 5% of the nearly 4,000 universities in the United States. For more information, visit www.fau.edu.
Powering artificial intelligence comes with a massive energy bill attached. Professor Wolfgang Maaß and his research team at Saarland University and the German Research Center for Artificial Intelligence (DFKI) want to make AI up to 90% percent more energy efficient. To improve AI’s carbon footprint and to reduce costs, the Saarbrücken team is rethinking data centres, large language models and image analysis models – and their research is opening up access to powerful AI models for small and medium-sized companies. One of the methods that researchers Sabine Janzen (right) and Hannah Stein (left) are using is known as ‘knowledge distillation’ – a form of model compression that transfers knowledge from complex models to simpler ones. After all, we don't need to read an entire library to answer a specific question. Instead, we focus on those books that are relevant to the question at hand. From 31 March to 4 April, the researchers will be showcasing their work at this year’s Hannover Messe at the stand of the Federal Ministry for Economic Affairs and Climate Action (Hall 2, Stand A18).
Powering artificial intelligence comes with a massive energy bill attached. Professor Wolfgang Maaß and his research team at Saarland University and the German Research Center for Artificial Intelligence (DFKI) want to make AI up to 90% percent more energy efficient. To improve AI’s carbon footprint, the Saarbrücken team is rethinking data centres, large language models and image analysis models – and their research is opening up access to powerful AI models for small and medium-sized companies. From 31 March to 4 April, the researchers will be at this year’s Hannover Messe showcasing their work at the stand of the Federal Ministry for Economic Affairs and Climate Action (Hall 2, Stand A18).
Data centres consume vast quantities of energy. According to Bitkom, the leading industry association in Germany’s digital sector, the electricity requirements to power data centres have more than doubled over the past decade. And with digital transformation only just out of the starting blocks, this trend is really gathering pace. Storing, processing, transmitting and retrieving data takes energy. Artificial intelligence, in particular, is a huge energy guzzler. Globally, multiple terawatt hours are being used to train and run today’s massive AI models. (One terawatt hour is equal to one billion kilowatt hours of electrical energy). Using these models to generate images and texts also consumes vast amounts of energy. As a result, data centres are having to get bigger and bigger, which means they need more and more electricity to power and cool the huge numbers of processors involved, which in turn is causing a massive uptick in their carbon footprint. None of this is helping Europe achieve its goal of net-zero greenhouse gas emissions by 2050. Clearly something has to change.
‘AI can become far more energy efficient. With the right approach, we can make the data centres of the future much more sustainable,’ says Professor Wolfgang Maaß, who conducts research at Saarland University and the German Research Center for Artificial Intelligence (DFKI). In an effort to curb AI's hunger for energy and to conserve resources, his research team is developing leaner, customized AI models. They also want to identify ways that data centres can become more energy smart.
‘By making the models smaller and more efficient, we’re helping to drive sustainability,’ says Dr. Sabine Janzen, a senior research scientist in Wolfgang Maaß's team. ‘Our work is also opening up access to powerful AI models for small and medium-sized businesses, because these smaller, leaner AI models don’t need a large technical infrastructure. This will enable everyone – not just the big players – to leverage this new technology,’ says Janzen.
Today's AI chatbots such as ChatGPT and visual AI models use trillions of parameters and utilize vast datasets to perform their tasks. The amount of energy they consume is correspondingly huge. The researchers in Saarbrücken are developing ways to reduce this energy consumption, without compromising the quality of the output from these leaner AI models. ‘A central element of our work is a technique known as knowledge distillation. It’s a type of compression technique that enables us to make models that are smaller and therefore more energy efficient, but that perform just as well as the larger models,’ explains Sabine Janzen.
The approach used by the research team could be described as follows: When looking for the answer to a specific question, you don’t read an entire library; you focus instead only on those books that are relevant to your question. The researchers in Saarbrücken extract smaller, more focused and more energy-efficient ‘student’ models from larger ‘teacher’ models. By distilling the knowledge needed to perform tasks in a specific area and reducing it to the essentials, they can reduce the size of the data models by up to ninety percent. Model parameters that are not relevant to the area of interest are not touched. ‘In terms of inference speed, i.e. how quickly the model can process input data and produce results, these student models perform at a level comparable to that of the larger teacher models, but require 90% less energy to do so,’ explains Janzen.
By using another automated efficiency technique known as ‘neural architecture search’ (NAS), the team has also achieved some impressive results with visual AI models, i.e. models that process digital image data. ‘Our most recent results show that we can use the NAS method to reduce the size of the models by around ninety percent,’ says Sabine Janzen. In this work, the researchers focus on machine learning with artificial neural networks – a very energy-intensive AI method that can analyse large volumes of data. Artificial neural networks are designed to mimic the human brain. Our brains contain many billions of nerve cells, called neurons, that are connected to each other via trillions of synapses. A synapse is essentially the interface between two neurons across which the two nerve cells communicate with each other. When we learn something new, neurons send electrical signals to each other across synapses, as we continue learning, the same neurons keep firing together and the connections between them get stronger, whereas the connections between inactive neurons become weaker.
Learning processes in artificial neural networks are similar and by feeding these networks large amounts of data, they can be trained to recognize patterns in natural language or in images. But whereas the brain is a master of energy-efficient learning, training a large artificial neural network requires a lot of computing power and a lot of energy. Training an artificial neural network so that it can yield meaningful results also involves a significant amount of human input. Typically, these artificial networks are designed and configured manually, and the many parameters involved are adjusted and optimized by experts until they perform at the required level. This is where the Saarbrücken researchers bring ‘neural architecture search’ (NAS) into play. ‘Instead of designing the neural networks manually, we automate the design optimization process using NAS,’ explains Sabine Janzen. ‘NAS allows us to examine different network architectures and optimize them to create a model that delivers high performance, efficiency and reduced costs.’
To test these compacter AI models in practice, Wolfgang Maaß's team is working together with the steel company Stahl Holding Saar. The aim is to teach the artificial neural networks to sort steel scrap efficiently. In order to produce new steel from scrap steel, producers need scrap of the right quality. Only certain types of scrap can be recycled for the manufacture of high-quality steels. However, the steel scrap that gets delivered to the smelting plant is a mix of all types and has to be sorted. Scrap sorting can be automated, but so far, the AI model is too big to be practical. ‘We have compressed the visual AI sorting model, making it compacter and more energy efficient. In fact, on certain metrics, the smaller model even performs better, making the steel recycling process more efficient,’ says Janzen. Where previously a huge AI model would have required a lot of energy to operate, a small, customized, energy-efficient model is now able to perform the same task.
The researchers start by training their models with the full dataset that contains all the information. They then shrink the AI models using knowledge distillation and specially compiled neural networks so that the models only contain those parameters that are really necessary for the task at hand. In this particular case, the aim is to create an AI that has all the knowledge it needs to be able to analyse camera images to classify the scrap steel being delivered to the site.
The Saarbrücken research team is also working with partners to outline a concept and compile recommendations for sustainable data centres and energy-efficient AI. ‘Up until now it has been difficult to estimate just how much energy is needed to create and operate an AI model. That makes it harder for businesses to plan ahead,’ explains PhD student Hannah Stein who is conducting research into these energy-efficient AI models. ‘We’re currently developing a tool that provides reliable forecasts of the energy consumed by and the costs associated with the different AI models,’ says Stein. Data centres and AI users can then use this information to plan more effectively, identify inefficient processes and take corrective action as necessary – for example, scheduling heavy computational loads at times when the price of electricity is low.
The research being conducted by Professor Wolfgang Maaß and his team was selected for the Federal Ministry for Economic Affairs and Climate Action's stand at this year’s Hannover Messe.The team will be presenting the latest results from the federally funded ‘ESCADE’ project, which is based at the German Research Centre for Artificial Intelligence DFKI.
Background:
ESCADE (‘Energy-Efficient Large-Scale Artificial Intelligence for Sustainable Data Centers’) is a three-year project with a budget of around €5 million being financed by the Federal Ministry for Economic Affairs and Climate Action (BMWK).
The project will run until the end of April 2026. The ESCADE consortium is made up of the research team headed by Wolfgang Maaß (Saarland University and DFKI), NT Neue Technologie AG, Stahl-Holding-Saar GmbH & Co. KGaA, SEITEC GmbH, Dresden University of Technology, the University of Bielefeld and the Austrian applied research institute Salzburg Research. https://escade-project.de
Virginia Tech study finds unique brain changes linked to witnessing trauma
(From left) Yeeun Bae and Morgan Patrick, both Ph.D. students, work with Associate Professor Tim Jarome to help identify distinct molecular differences in how the brains of victims and witnesses process trauma.
For years, post-traumatic stress disorder (PTSD) has been studied primarily in people who experience trauma firsthand. But what about those who witness it — military veterans, first responders, health care workers, or bystanders to violence — who constitute 10 percent of all PTSD cases?
New research from Virginia Tech, published in PLOS ONE, reveals that witnessing trauma triggers unique brain changes, distinct from those caused by experiencing trauma firsthand. The study is the first to shed light on the molecular differences between directly acquired PTSD and bystander PTSD and could pave the way for changes in how the disorders are treated.
“Currently, patients with directly acquired PTSD and bystander PTSD are treated the same way – with a combination of therapy and medication,”saidTimothy Jarome,the project’s principal investigator and associate professor of neurobiology in the College of Agriculture and Life Sciences.“Our research suggests that indirect trauma and direct trauma create different biological responses, which could mean they require different treatment strategies that target distinct brain pathways.”
Understanding how observation leads to PTSD
Jarome’s research focuses on understanding the neurobiological mechanisms behind memory-related disorders, including PTSD, dementia, and Alzheimer’s disease. His interest in bystander PTSD arose after learning about PTSD symptoms reported in people who witnessed the deadly 2021 collapse of a Miami condominium.
“People who saw it from across the street reported that they were suffering from nightmares, insomnia, and anxiety,” he said. “They were showing symptoms of PTSD, but didn’t go through it or have any connection to the people in the building. We sought out to understand the brain mechanisms behind how that occurred.”
For the study, researchers focused on protein changes caused by a fear stimulus in three key brain regions involved in fear memory: the amygdala, the anterior cingulate cortex, and the retrosplenial cortex. They discovered that witnessing trauma triggered distinct protein degradation patterns in all three regions, compared to directly experiencing trauma.
Additionally, they uncovered sex-specific differences in how male and female brains process indirect fear memories. These findings build on previous research from Jarome’s lab, which identified a specific protein, known as K-63 ubiquitin, linked to PTSD development in women.
“Our findings highlight significant biological differences in how male and female brains respond to witnessing trauma,” said the paper’s lead author, Shaghayegh Navabpour, a former Ph.D. student in translational biology, medicine, and health who is now a postdoctoral researcher at Stanford University. “These differences may help explain why women are twice as likely as men to develop PTSD, leading to more targeted treatments that consider these sex-specific factors.”
In future research, Jarome hopes to explore how these how these molecular pathways could be leveraged to develop more precise PTSD therapies. He also hopes to examine the role of empathy, which originates in a different brain region called the anterior insular cortex, in bystander PTSD.
The vital role of student researchers
The research was funded by a $420,000 grant from the National Institute of Mental Health, which is part of the National Institutes of Health. In addition to supporting equipment and materials costs of the research, the grant helped pay the stipends of graduate and undergraduate research assistants on the project.
“At academic institutions, students — undergraduate, graduate, and postdocs — are the driving force for research,” Jarome said. “While faculty members might secure the funding to do the projects, the reality is that the work is done by these students as they're going through their training. Without graduate students, especially, but also undergraduates and postdocs, science doesn't advance."
Navabpour, who earned her Ph.D. from Virginia Tech in 2023, is now working at Stanford to develop a drug to help treat Alzheimer’s disease.
“My time in Dr. Jarome’s lab was hugely valuable in shaping my career and preparing me for my current role as a postdoc and my goal of becoming a faculty member,” she said. “I learned how to think scientifically — how to ask the right questions and approach problems critically — and gained hands-on experience with key methods and techniques that continue to inform my research.”
Other members of research team included:
Morgan Patrick, Ph.D. candidate, School of Neuroscience
Nour Omar ’23, who earned a degree in psychology, current Ph.D. candidate at Stanford University School of Medicine
Shannon Kincaid, Ph.D. candidate, School of Animal Sciences
Yeeun Bae, Ph.D. candidate, School of Animal Sciences
Jennifer Abraham ’24, who earned a degree in clinical neuroscience
Jacobi McGrew ’22, PREP Scholar intern, School of Animal Sciences
Madeline Musaus ’21, who earned a degree in clinical neuroscience
W. Keith Ray, senior researcher, Fralin Life Sciences Institute
Richard Helm, associate professor, Department of Biochemistry
Journal
PLOS One
Article Title
Indirectly acquired fear memories have distinct, sex-specific molecular signatures from directly acquired fear memories
Study shows that cannabidiol may be a promising agent for promoting dental biomineralization
Researchers tested different concentrations of the substance on dental pulp cells. Results show promise for dental tissue repair.
Fundação de Amparo à Pesquisa do Estado de São Paulo
Larissa Sthefani Sales, first author of the study, during the experiment in which she used cannabidiol as a stimulus for the cultivation of dental pulp cells and macrophages
In vitro tests indicate that cannabidiol can stimulate the biomineralization of teeth even under inflammatory conditions, thus promoting tissue repair.
The research was conducted with the support of FAPESP at the Ribeirão Preto School of Dentistry of the University of São Paulo (FORP-USP) in Brazil. The results were published in the Journal of Dentistry.
In the experiment, cells from the dental pulp of mice were exposed to a cytokine called tumor necrosis factor alpha (TNF-α), which is involved in various inflammatory and autoimmune processes. They were then treated with different concentrations of cannabidiol for periods ranging from 24 hours to seven days.
“The ability of the cells to survive and function in this environment was evaluated, which allowed us to determine if the substance has any bioactive effect on them,” explains Francisco Wanderley Garcia de Paula-Silva, professor at the institution’s Department of Pediatrics, who coordinated the work. The study had the collaboration of researchers Elaine Del Bel and Glauce Crivelaro do Nascimento Marangoni, from the Molecular Neurophysiology Laboratory at FORP-USP.
In addition, the researchers studied the formation of mineralization nodules using a dye called alizarin red. This process takes place thanks to the presence of mesenchymal stem cells in the dental pulp, which, when exposed to some kind of stress, such as an inflammatory process, migrate to the affected areas and differentiate into odontoblast-like structures, cells that form and maintain dentin, the innermost layer of teeth.
At the same time, macrophages, important cells of the immune system, were pre-stimulated with bacterial lipopolysaccharide, a toxic component of the cell wall of gram-negative bacteria, before being exposed to the substance extracted from Cannabis sativa. This test was designed to evaluate the effect of cannabidiol in modulating the synthesis of inflammatory mediators by macrophages.
The results showed that treatment with cannabidiol was able to inhibit the synthesis of inflammatory mediators, suggesting an anti-inflammatory effect, especially after 24 hours. In addition, the substance stimulated the capacity for tooth biomineralization.
“These findings indicate that cannabidiol may be a promising bioactive substance for tissue repair in inflammatory contexts, which opens up new perspectives for its use in dental treatments, especially in regenerative dentistry, benefiting patients in different clinical situations,” says Paula-Silva.
According to the researcher, these findings show that cannabidiol deserves further investigation in order to establish its effective role in dental practice, as research is still in its early stages. Therefore, translating experimental results into clinical applications requires a long process of evaluation and validation.
To this end, it is essential to conduct clinical trials that assess efficacy and safety in humans, not only to confirm the observed effects, but also to understand how the substance behaves in different clinical situations, including dosage, route of administration, and potential interactions with other treatments.
In addition, the introduction of new treatments into clinical practice must meet regulatory requirements that include independent assessments, ethics committee reviews, and health authority approvals. “The growing interest in cannabinoid-based therapies, coupled with a deeper understanding of cannabidiol’s mechanisms of action, may facilitate future clinical trials, especially as more data become available,” says Paula-Silva.
About FAPESP
The São Paulo Research Foundation (FAPESP) is a public institution with the mission of supporting scientific research in all fields of knowledge by awarding scholarships, fellowships and grants to investigators linked with higher education and research institutions in the state of São Paulo, Brazil. FAPESP is aware that the very best research can only be done by working with the best researchers internationally. Therefore, it has established partnerships with funding agencies, higher education, private companies, and research organizations in other countries known for the quality of their research and has been encouraging scientists funded by its grants to further develop their international collaboration.
Effects of cannabidiol on biomineralization and inflammatory mediators expression in immortalized murine dental pulp cells and macrophages under pro-inflammatory conditions
