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NewsHedgehog coronaviruses may threaten cats more than humans, new study finds
Researchers have discovered how a group of coronaviruses circulating in hedgehogs invades host cells, a key to understanding their potential to jump between species and their risk of causing a pandemic in humans.
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NewsHow disease-causing E. coli quickly finds a new way to grip human cells—revealing a possible target for future treatments
A new study shows how a type of disease-causing E. coli can quickly adapt when it loses one of its main ways of attaching to the intestine. The bacteria either change shape or make small changes to a protein that strengthens their grip on human cells.
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NewsLab tackles antibiotic resistance across multiple fronts in new trio of studies
To defeat multidrug-resistant superbugs, bacterial defenses must be confronted wherever they may emerge, from basic genetic mutations in a laboratory, to complex real-world transmission in hospital rooms. A new trio of studies demonstrates how an integrated approach might yet expose and overcome these diverse survival mechanisms.
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NewsFecal microbial signatures show promise for colorectal and pancreatic cancer assessment
Gastrointestinal and pancreatobiliary cancers can be difficult to detect early, creating a need for practical, noninvasive approaches for early detection and risk assessment. The gut microbiome has emerged as a potential source of cancer biomarkers, offering practical opportunities for noninvasive testing, as microbial changes can be assessed in fecal samples. ...
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NewsKey regulator helps seafood-associated bacterium balance iron and oxidative stress
Bacteria need iron, but bioavailable iron is often scarce, and too much can fuel chemical reactions that damage cells. Many Gram-negative bacteria balance iron through ferric uptake regulator (Fur), a metal-responsive protein that controls iron-related genes. Fur’s role in V. parahaemolyticus, however, had not been clearly defined.
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NewsCan AI find drugs to fight infection?
Researchers have used artificial intelligence (AI) to identify approved drugs that may be effective against Streptococcus pneumoniae. Using a dataset of molecules shown to be active against S. pneumoniae and a larger dataset of molecules inactive against another drug-resistant bacterium, the scientists trained three different learning algorithms.
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