Tech and Science

A study in mice hints at a new way to treat spinal cord injuries

Last updated: September 25, 2024 3:55 pm

in molecular biology from the University of California, San Francisco, and a bachelor’s degree in biology from the University of Wisconsin, Madison. She has written for Science News since 2005, covering a wide array of topics ranging from neuroscience to evolution to climate change.

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After a spinal cord injury, nerve cells in mice experience swelling that can lead to cell death, according to a recent study published in Science Translational Medicine. The researchers found that inhibitory neurons swelled quickly after an injury, peaking at day two and returning to normal by day 14. In contrast, excitatory neurons swelled and stayed enlarged for up to 35 days, with more of these cells dying in the process.

To investigate this phenomenon, the researchers used genetic engineering, transparent spinal cord tissue, and machine learning to analyze cell shapes. This allowed them to observe over 30,000 neurons in a 3-millimeter span of the spinal cord in each mouse. The results showed that a drug called bumetanide, commonly used to treat edema in people, reduced cellular swelling and cell death in mice. Mice treated with the drug showed improved movement in their legs compared to untreated mice.

These findings shed light on the role of neuron swelling in spinal cord injuries. However, further research is needed to understand how this process operates in humans and whether bumetanide could be effective in treating spinal cord injuries in people. Researcher Bo Chen from the University of Texas Medical Branch at Galveston, who led the study, emphasized the importance of continuing research in this area to develop potential treatments for spinal cord injuries.

For questions or comments on this article, readers can contact the Science News team at feedback@sciencenews.org. More information on reprints can be found in the FAQ section on the Science News website. The article was written by Laura Sanders, a neuroscience writer with a Ph.D. in molecular biology from the University of California, San Francisco. She has been covering a wide range of scientific topics for Science News since 2005, including neuroscience, evolution, and climate change. Molecular biology is a fascinating field of study that delves into the intricate mechanisms of life at the molecular level. Researchers at the University of Southern California are at the forefront of groundbreaking discoveries in this field, shedding light on the inner workings of cells and organisms.

One recent study conducted by USC researchers focused on the role of microRNAs in gene regulation. MicroRNAs are small RNA molecules that play a crucial role in controlling gene expression by binding to messenger RNA and either promoting its degradation or inhibiting its translation. By studying the interactions between microRNAs and their target genes, the researchers were able to uncover novel regulatory networks that govern various biological processes.

Another area of interest for USC molecular biologists is epigenetics, the study of heritable changes in gene expression that do not involve alterations to the underlying DNA sequence. Epigenetic modifications, such as DNA methylation and histone acetylation, can have profound effects on gene expression and cellular function. USC researchers are unraveling the complex interplay between epigenetic mechanisms and environmental factors, shedding light on how these interactions contribute to health and disease.

In addition to their research efforts, USC molecular biologists are actively engaged in teaching and mentoring the next generation of scientists. Through hands-on laboratory experiences and collaborative research projects, students at USC have the opportunity to gain valuable skills and insights into the field of molecular biology.

Overall, the work being done by molecular biologists at the University of Southern California is pushing the boundaries of scientific knowledge and paving the way for future discoveries in the field. By unraveling the mysteries of the molecular world, these researchers are not only advancing our understanding of life but also laying the groundwork for innovative therapies and interventions that could improve human health and well-being. The world of technology is constantly evolving, with new innovations and advancements being made every day. One of the most exciting areas of technological development is artificial intelligence (AI). AI is a branch of computer science that aims to create intelligent machines that can think, learn, and make decisions like humans.

One of the key technologies driving the advancement of AI is machine learning. Machine learning is a subset of AI that involves training machines to learn from data and make predictions or decisions based on that data. This allows machines to improve their performance over time without being explicitly programmed to do so.

Machine learning algorithms can be used in a wide range of applications, from self-driving cars to personalized recommendations on streaming services. These algorithms work by analyzing large amounts of data to identify patterns and make predictions. For example, in the case of self-driving cars, machine learning algorithms can be used to analyze images from cameras and sensors to detect obstacles and make decisions about how to navigate the road.

Another important technology in the field of AI is natural language processing (NLP). NLP is the ability of machines to understand and generate human language. This technology is used in virtual assistants like Siri and Alexa, as well as in translation services and chatbots.

AI is also being used in healthcare to improve patient outcomes and reduce costs. For example, AI algorithms can analyze medical images to detect diseases like cancer at an early stage, leading to better treatment options for patients. AI can also be used to predict patient outcomes and recommend personalized treatment plans based on individual health data.

Despite the many benefits of AI, there are also concerns about its potential impact on jobs and society. Some fear that AI will lead to widespread job loss as machines replace human workers in various industries. Others worry about the ethical implications of AI, such as bias in algorithms or the potential for AI to be used for malicious purposes.

Overall, AI has the potential to revolutionize the way we live and work, but it is important to approach its development and implementation with caution. By considering the ethical implications of AI and ensuring that it is used responsibly, we can harness the power of this technology to create a better future for all. Do you ever wonder what the future of technology holds? With the rapid advancements in artificial intelligence, virtual reality, and other cutting-edge technologies, it’s hard not to be excited about what the future has in store.

One of the most promising technologies on the horizon is artificial intelligence, or AI for short. AI is the simulation of human intelligence processes by machines, especially computer systems. It has the potential to revolutionize countless industries, from healthcare to transportation to finance.

In healthcare, AI has the potential to improve patient outcomes and reduce costs. For example, AI-powered diagnostic tools can help doctors identify diseases earlier and more accurately than ever before. In transportation, AI can help optimize traffic flow and reduce accidents. And in finance, AI can help detect fraud and identify investment opportunities.

Another exciting technology on the horizon is virtual reality, or VR for short. VR is a computer-generated simulation of a three-dimensional image or environment that can be interacted with in a seemingly real or physical way. While VR is currently most commonly associated with gaming, its potential applications are far-reaching.

For example, VR can be used for training purposes in a variety of industries, from healthcare to manufacturing to military. By creating realistic simulations, VR can help train employees in a safe and controlled environment. VR can also be used for therapeutic purposes, such as treating phobias or PTSD.

As these technologies continue to advance, it’s important to consider the ethical implications of their use. For example, AI has the potential to eliminate jobs in certain industries, leading to unemployment for many workers. Additionally, there are concerns about privacy and data security when it comes to AI-powered systems.

Similarly, VR raises questions about the impact on mental health and human relationships. Spending too much time in a virtual world can lead to feelings of isolation and disconnect from reality. It’s crucial that we address these ethical concerns as we continue to develop and implement these technologies.

Overall, the future of technology looks bright. With AI and VR leading the way, we can expect to see incredible advancements in a variety of industries. However, it’s important to proceed with caution and consider the ethical implications of these technologies as we move forward into this exciting new era.