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Comment by Dr. Krishna Kumari Challa on October 6, 2023 at 10:46am

Specifically, this study focuses on an interesting group of complement inhibitors (called "regulators"). The research showed promising results.

Researchers  observed that the regulators being studied effectively inhibited complement activation by nanoparticles in human serum in vitro and animal models. Specifically, when injected at very low doses, the regulators completely and safely blocked activation of complement by nanoparticles in the animal models used. According to the authors, this is significant because when nanoparticles activate complement, the resulting immune response can not only cause an adverse reaction but it can also reduce the efficacy of nanomedicines.

This research also provides a better understanding of why and how complement regulators could help the body respond more favorably to nanoparticles. The study team observed that of the trillions of nanoparticles entering the blood in a standard injection, only a small fraction activated complement. Complement regulators worked as soon as nanoparticles started activating complement, thereby promptly mitigating immune activation.

These results suggest we have an exciting opportunity to explore how to further optimize the use of regulators with nanoparticles, with the goal of improving the efficacy and tolerability of multiple nanotechnology-based therapeutics and vaccines.

 The next step is to test the complement inhibitors with multiple nano particles and in difference disease models to fully understand the potential of this approach with the ultimate goal to apply the research in a clinical setting.

Inhibition of Acute Complement Responses Toward Bolus-Injected Nanoparticles by Targeted, Short-Circulating Regulatory Proteins, Nature Nanotechnology (2023). DOI: 10.1038/s41565-023-01514-z. www.nature.com/articles/s41565-023-01514-z

Part 2

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Comment by Dr. Krishna Kumari Challa on October 6, 2023 at 10:44am

New research may make future design of nanotechnology safer with fewer side effects

A new study, published in Nature Nanotechnology, may offer a strategy that mitigates negative side effects associated with intravenous injection of nanoparticles commonly used in medicine.

Nanotechnology's main advantage over conventional medical treatments is its ability to more precisely target tissues, such as cancer cells targeted by chemotherapy. However, when nanoparticles are injected, they can activate part of the immune system called complement. 

Complement is a group of proteins in the immune system that recognize and neutralize bacteria and viruses, including nanoparticles which are foreign to the body. As a result, nanoparticles are attacked by immune cells triggering side effects that include shortness of breath, elevated heart rate, fever, hypotension, and, in rare cases, anaphylactic shock.

The activation of the immune system after injection of nanoparticles can be challenging to understand and prevent. This new research is one step closer to providing a better understanding and a solution for people to receive the benefits of nanoparticles without side effects.

The researchers say while some progress has been made in mitigating adverse reactions through slow infusion and premedication with steroids and antihistamines, a significant number of people still experience reactions.

The goal is to prevent, avoid and mitigate adverse reactions and immune activation. 

Part 1

Comment by Dr. Krishna Kumari Challa on October 6, 2023 at 8:48am

 How Amazonian forest degradation and monsoon circulation are interlinked

A pair of concerned researchers, has developed a computer model that shows linkages between forest degradation in the Amazon River basin and monsoon circulation.

That research suggested that if deforestation continues in the Amazon River basin, it could lead to a tipping point at which a certain degree of change can cause permanent changes to an ecosystem. In the case of the Amazon, the change would be from rainforest to a drier, savanna-like climate.

Over the course of many years, many studies have been conducted to understand how the characteristics of the Amazon River basin work together to maintain such a large rainforest. Such studies have shown that regional water cycling along with moisture exaltation from the plants, together with sunlight and even dust blown over from Africa, all contribute to the unique ecosystem, the largest rainforest in the world. Such work has also suggested that disruptions to parts of the system, such as cutting down trees, could result in major changes to the ecosystem. And if such changes were to occur, other studies have suggested the region would change from a rainforest to one that featured a vast savanna-like climate. Such a possible change is of major concern to climate scientists because the rainforest produces a lot of the Earth's oxygen. Additionally, destruction of the trees would result in the release of carbon they sequester, likely into the atmosphere, contributing further to climate change.

In this new effort, the researchers attempted to create a model that ties together degradation of the rainforest and monsoon circulation to show how and why a tipping point might be reached. To create their nonlinear dynamical model, the pair used data from other models that have been built over the past 40 years to simulate conditions in the rainforest. They also added weather data for the same period, including rainfall amounts, wind speeds and direction, and degree of evapotranspiration. They then modeled the rainforest in its original state to serve as a starting point. Next, they tweaked parameters to see the effects on the entire system. The model showed that cutting down trees at current rates in the Amazon region would indeed lead to a tipping point. They conclude that ecosystems with a feedback loop, such as the Amazon River basin, are particularly sensitive to change.

Nils Bochow et al, The South American monsoon approaches a critical transition in response to deforestation, Science Advances (2023). DOI: 10.1126/sciadv.add9973

Comment by Dr. Krishna Kumari Challa on October 5, 2023 at 12:08pm

Maybe volcanoes doomed the dinosaurs

A machine-learning algorithm suggests that volcanic activity, rather than an asteroid,.... The algorithm simulated 300,000 scenarios of different amounts of volcanic gases until it found one that matched data from fossils. The gases would have started to cause dinosaur-dooming climate chaos long before the asteroid impact. “You can actually recreate the environmental conditions that could cause a dinosaur extinction solely by volcanism, as if the asteroid weren’t there,” says computational geologist and study co-author Alexander Cox. “But of course, we can't discount the fact that the asteroid definitely didn't cheer up the dinosaurs.”

https://www.science.org/doi/10.1126/science.adh3875

Comment by Dr. Krishna Kumari Challa on October 5, 2023 at 12:05pm

What is anaphylaxis?

Comment by Dr. Krishna Kumari Challa on October 5, 2023 at 11:52am

Nobel Prize in chemistry for work on quantum dots, used in electronics and medical imaging

Three scientists won the Nobel Prize in chemistry Wednesday for their work on quantum dots—tiny particles just a few nanometers in diameter that can release very bright colored light and whose applications in everyday life include electronics and medical imaging.

Moungi Bawendi of MIT, Louis Brus of Columbia University, and Alexei Ekimov of Nanocrystals Technology Inc., were honored for their work with the tiny particles that "have unique properties and now spread their light from television screens and LED lamps," according to the Royal Swedish Academy of Sciences, which announced the award in Stockholm.

Quantum dots are tiny inorganic particles that glow a range of colors from red to blue when exposed to light. The color they emit depends upon the size of the particle.

Scientists can engineer the dots from materials that include gold to graphene to cadmium, and create their color by controlling their size. The tiniest particles, in which electrons are most tightly confined, emit blue light. Slightly larger particles, in which electrons bounce around a longer wavelength, emit red light.

Chemists sometimes compare the size of the particle itself to a confining box.

The underlying "particle in a box" theory of quantum mechanics was first described nearly a century ago. But it wasn't until several decades later that scientists could manufacture quantum dots in a lab.

In the 1980s, Ekimov, 78, and Brus, 80, honed the theory and developed early laboratory techniques for creating particles that emit varying colors by adjusting sizes. In 1993, Bawendi, 62, developed new chemical methods for producing the particles quickly and uniformly—which soon enabled a variety of scalable commercial applications, including in electronics displays.

www.nobelprize.org/uploads/202 … emistryprize2023.pdf

Comment by Dr. Krishna Kumari Challa on October 4, 2023 at 12:24pm

When fire & ice combine

Comment by Dr. Krishna Kumari Challa on October 4, 2023 at 12:10pm

Research shows humans can inherit AI biases

New research by psychologists provides evidence that people can inherit artificial intelligence biases (systematic errors in AI outputs) in their decisions.

The astonishing results achieved by AI systems that can, for example, hold a conversation as a human does have given this technology an image of high reliability.

More and more professional fields are implementing AI-based tools to support the decision-making of specialists to minimize errors in their decisions. However, this technology is not without risks due to biases in AI results. We must consider that the data used to train AI models reflects past human decisions. If this data hides patterns of systematic errors, the AI algorithm will learn and reproduce these errors. Indeed, extensive evidence indicates that AI systems do inherit and amplify human biases.

The most relevant finding of this new research is that the opposite effect may also occur: that humans inherit AI biases. That is, not only would AI inherit its biases from human data, but people could also inherit those biases from AI, with the risk of getting trapped in a dangerous loop. 

The most significant finding of the research was that after interaction with the AI system, those volunteers continued to mimic its systematic error when they switched to performing the diagnosis task unaided. In other words, participants who were first assisted by the biased AI replicated its bias in a context without this support, thus showing an inherited bias. This effect was not observed for the participants in the control group, who performed the task unaided from the beginning.

These results show that biased information by an artificial intelligence model can have a perdurable negative impact on human decisions. The finding of an inheritance of AI bias effect points to the need for further psychological and multidisciplinary research on AI-human interaction.

Furthermore, evidence-based regulation is also needed to guarantee fair and ethical AI, considering not only the AI technical features but also the psychological aspects of the AI and human collaboration.

Lucía Vicente et al, Humans inherit artificial intelligence biases, Scientific Reports (2023). DOI: 10.1038/s41598-023-42384-8

Comment by Dr. Krishna Kumari Challa on October 4, 2023 at 12:03pm

Why does it get hot when you rub things together? Unraveling the mystery of dynamic friction at the atomic level

Friction, an everyday phenomenon, has perplexed scientists for centuries. Though extensively researched, our understanding remains fragmented, primarily due to the multifaceted interactions that span across varying scales. Achieving an accurate grasp of the precise contact conditions between objects has been a longstanding challenge, a feat recently made possible through advancements in scanning probe microscopy.

Yet, even with these technological breakthroughs, the intricacies of dynamic friction—the force needed to maintain the movement of a molecule—have remained elusive. While scientists can measure static friction by moving a single molecule on a surface, both the measurement and theoretical understanding of dynamic friction have yet to be fully unveiled. Now, writing in Physical Review Letters and Physical Review B, a collaborative team of scientists report their groundbreaking study that dives deep into this challenge. They meticulously examined the manipulation of a carbon monoxide (CO) molecule on a single-crystal copper surface using an atomic force microscope. Backed by ab initio calculations, their findings shed light on how the CO molecule positions change relative to the microscope tip and surface, as well as the relationship between the motion of the molecule induced by the tip, energy dissipation, and both static and dynamic friction. This research stands out for its unequivocal clarity on the friction process. Not only does it provide fresh insights into a long-studied phenomenon, but it also paves the way for future studies on energy dissipation relaxation processes.

Norio Okabayashi et al, Dynamic Friction Unraveled by Observing an Unexpected Intermediate State in Controlled Molecular Manipulation, Physical Review Letters (2023). DOI: 10.1103/PhysRevLett.131.148001

Norio Okabayashi et al, Energy dissipation of a carbon monoxide molecule manipulated using a metallic tip on copper surfaces, Physical Review B (2023). DOI: 10.1103/PhysRevB.108.165401

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Comment by Dr. Krishna Kumari Challa on October 4, 2023 at 11:54am

The goal before the scientists now is  to develop a highly focused method or methods for blocking STING within targeted immune cells, without disrupting its other important functions. If they  can achieve that, they may have a powerful new tool for controlling hyper-inflammation.

Hannah Meibers et al, Effector Memory T cells induce innate inflammation by triggering DNA damage and a non-canonical STING pathway in dendritic cells, Cell Reports (2023). DOI: 10.1016/j.celrep.2023.113180. www.cell.com/cell-reports/full … 2211-1247(23)01192-0

Part 3

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