Lifeboat Foundation: Safeguarding Humanity
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Category: biotech/medical – Page 723

Antibiotic resistance is a major danger to public health that threatens to claim the lives of millions of people per year within the next few decades. Years of necessary administration and excessive application of antibiotics have selected for strains that are resistant to many of our currently available treatments. Due to the high costs and difficulty of developing new antibiotics, the emergence of resistant bacteria is outpacing the introduction of new drugs to fight them. To overcome this problem, many researchers are focusing on developing antibacterial therapeutic strategies that are “resistance-resistant”—regimens that slow or stall resistance development in the targeted pathogens. In this mini review, we outline major examples of novel resistance-resistant therapeutic strategies. We discuss the use of compounds that reduce mutagenesis and thereby decrease the likelihood of resistance emergence. Then, we examine the effectiveness of antibiotic cycling and evolutionary steering, in which a bacterial population is forced by one antibiotic toward susceptibility to another antibiotic. We also consider combination therapies that aim to sabotage defensive mechanisms and eliminate potentially resistant pathogens by combining two antibiotics or combining an antibiotic with other therapeutics, such as antibodies or phages. Finally, we highlight promising future directions in this field, including the potential of applying machine learning and personalized medicine to fight antibiotic resistance emergence and out-maneuver adaptive pathogens.

The use of antibiotics is central to the practice of modern medicine but is threatened by widespread antibiotic resistance (Centers for Disease Control and Prevention (U.S.), 2019). Antibiotics are a selective evolutionary pressure—they inhibit bacterial growth and viability, and antibiotic-treated bacteria are forced to either adapt and survive or succumb to treatment. The stress of antibiotic treatment can enhance bacterial mutagenesis leading to de novo resistance mutations (Figure 1A), promote the acquisition of horizontally transferred genetic elements that confer resistance, or trigger phenotypic responses that increase tolerance to drugs (Davies and Davies, 2010; Levin-Reisman et al., 2017; Bakkeren et al., 2019; Darby et al., 2022;). Additionally, antibiotic treatment can select for the proliferation of pre-existing mutants already in the population (Figure 1B).

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Research led by the Department of Anthropology and School of Biomedical Sciences, Kent State University, Ohio, has investigated neuropeptide Y innervation in an area of the brain called the nucleus accumbens of various primate species, including humans. The research was focused on understanding its role in brain evolution and any implications for human health, particularly regarding addiction and eating disorders.

In a paper, “Hedonic eating, obesity, and addiction result from increased neuropeptide Y in the nucleus accumbens during human ,” published in PNAS, the researchers suggest that the combination of increased neuropeptide Y (NPY) and dopamine (DA) within the human nucleus accumbens (NAc) may have allowed for enhanced . This same configuration may have also made humans exceptionally vulnerable to eating disorders and , hinting at addictive traits having a deep evolutionary origin.

NPY plays a role in the reward system, emotional behavior and is associated with increased alcohol use, drug addiction and . The NAc brain region is central to motivation and action, exhibiting one of the highest densities of NPY in the brain and is of great interest to researchers investigating brain-related promoters of addiction.

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UK researchers have developed a new publicly accessible database, and they hope to see it shrink over time. That’s because it is a compendium of the thousands of understudied proteins encoded by genes in the human genome, whose existence is known but whose functions are mostly not.

The database, dubbed the “unknome,” is the work of Matthew Freeman of the Dunn School of Pathology, University of Oxford.

The University of Oxford is a collegiate research university in Oxford, England that is made up of 39 constituent colleges, and a range of academic departments, which are organized into four divisions. It was established circa 1096, making it the oldest university in the English-speaking world and the world’s second-oldest university in continuous operation after the University of Bologna.

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Vanderbilt researchers have developed a way to more quickly and precisely trap nanoscale objects such as potentially cancerous extracellular vesicles using cutting-edge plasmonic nanotweezers.

The practice by Justus Ndukaife, assistant professor of electrical engineering, and Chuchuan Hong, a recently graduated Ph.D. student from the Ndukaife Research Group, and currently a postdoctoral research fellow at Northwestern University, has been published in Nature Communications.

Optical tweezers, as acknowledged with a 2018 Physics Nobel Prize, have proven adept at manipulating micron-scale matter like biological cells. But their effectiveness wanes when dealing with nanoscale objects. This limitation arises from the diffraction limit of light that precludes focusing of light to the nanoscale.

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This device can generate deep-UV light with a very narrow wavelength range that is safe for humans but lethal for germs.

A new device that can generate deep-ultraviolet (UV) light to kill germs without harming humans has been developed by a team of researchers from Osaka University, Japan. The device uses a novel method of combining two visible photons into one deep-UV photon inside a thin waveguide made of aluminum nitride, a material that has nonlinear optical properties.

The research, named “229 nm far-ultraviolet second harmonic generation in a vertical polarity inverted AlN bilayer channel waveguide,” has been published in the journal Applied Physics Express.

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Back to AI in healthcare – we’ve looked at this from a number of angles, but what about some of the pros and cons of using AI/ML systems in a clinical context? And also, what about how to conquer disease with AI models?

There’s a broader theory that AI is going to allow for trail-blazing research on everything from cancer and heart disease to trauma and bone and muscle health — and everything in between. Now, we have more defined solutions coming to the table, and they’re well worth looking at!

In this IIA talk, cardiologist Collin Stultz talks about the treatment of disorders, and new tools, starting with a dramatic emphasis on heart disease.

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A surgical team from Washington University School of Medicine in St. Louis recently performed the first robotic liver transplant in the U.S. The successful transplant, accomplished in May at Barnes-Jewish Hospital, extends to liver transplants the advantages of minimally invasive robotic surgery: a smaller incision resulting in less pain and faster recoveries, plus the precision needed to perform one of the most challenging abdominal procedures.

The patient, a man in his 60s who needed a transplant because of liver cancer and cirrhosis caused by hepatitis C virus, is doing well and has resumed normal, daily activities. Typically, liver transplant recipients require at least six weeks before they can walk without any discomfort. The patient was walking easily six weeks after surgery and cleared to resume golfing and swimming seven weeks after the surgery.

Groundbreaking surgery performed at Barnes-Jewish Hospital in St. Louis.

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