Frogs Help Identify Three Illness-Resistant Drugs

A toad is pictured on the road in Tallinn, Estonia April 13, 2021. REUTERS/Janis Laizans
A toad is pictured on the road in Tallinn, Estonia April 13, 2021. REUTERS/Janis Laizans
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Frogs Help Identify Three Illness-Resistant Drugs

A toad is pictured on the road in Tallinn, Estonia April 13, 2021. REUTERS/Janis Laizans
A toad is pictured on the road in Tallinn, Estonia April 13, 2021. REUTERS/Janis Laizans

Humans may soon owe to a species of small frogs that may give them the power to resist illness. A team of researchers have recently identified a mechanism that gives those ‘super’ frogs the strength to resist pathogens, which opens a new door to repurpose currently used drugs to replicate this power in humans.

During the study, published in the journal Science Advances on June 19, researchers at the Wyss Institute for Biologically Inspired Engineering at Harvard University have discovered genetic and biological mechanisms that enhance the ability of cells and tissues in Xenopus laevis frogs to resist damage in the presence of invading pathogens, suggesting that infections in humans and other animals could one day be treated by increasing their tolerance to pathogens.

The standard approach to treating infections for the last 75 years has been to focus on killing the pathogen, but the overuse of antibiotics in livestock and in humans has led to the emergence of antibiotic-resistant bacteria. However, the super illness-resisting powers Xenopus laevis frogs have inspired the researchers to focus on modifying a host's response to a pathogen rather than killing the pathogen itself.

Research into the biology of disease tolerance has found that it is associated with the activation of stress responses that are normally induced by a low level of oxygen (hypoxia). These cellular responses reprogram T cells, which reduces the amount of inflammation they cause.

As part of the Wyss Institute's ongoing quest to identify drugs that could replicate these biological processes and induce tolerance in humans, the team used a combination of computational techniques and hands-on experiments to tease out the genes and molecular pathways that control tolerance in Xenopus frogs, and then find existing drugs that could activate those pathways and induce a state of tolerance against pathogens in humans.

After examining 30 pharmaceutical drugs, they found three drugs were actually effective for this purpose: FDA-approved deferoxamine, Mimosine, and hydralazine.



Gulf States Unveil Efforts to Develop AI Tools to Combat Fake News

Dr. Preslav Nakov (LinkedIn)
Dr. Preslav Nakov (LinkedIn)
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Gulf States Unveil Efforts to Develop AI Tools to Combat Fake News

Dr. Preslav Nakov (LinkedIn)
Dr. Preslav Nakov (LinkedIn)

One of the significant challenges facing researchers in artificial intelligence (AI) development is ensuring objectivity amid the rapid and ever-increasing flow of information online. With numerous tools now available to disseminate diverse data and information, it has become increasingly difficult for audiences to distinguish between truth and propaganda on one hand and between objective journalism and biased framing on the other.
This has underscored the growing importance of technologies designed to analyze, detect, and filter vast amounts of data. These tools aim to curb the spread of misinformation, combat rumors and fake news, and make the internet a safer space for sharing and accessing accurate information.
Fake news is defined as media content created and published with the intent to mislead or manipulate public opinion, often for political, economic, or social purposes. The methods for creating fake news range from simple manipulation of facts to sophisticated techniques like deepfakes, further complicating efforts to identify them.
In Abu Dhabi, Dr. Preslav Nakov, a professor and chair of Natural Language Processing at Mohamed bin Zayed University of Artificial Intelligence, is leading innovative efforts to develop AI technologies, particularly in analyzing the methods used in media to influence public opinion.
Among his most notable contributions is the development of FRAPPE, an interactive tool for global news analysis. FRAPPE provides comprehensive insights into the persuasive and rhetorical techniques employed in news articles, enabling users to gain a deeper understanding of diverse media contexts. According to Nakov, FRAPPE helps users identify how news is framed and presented in different countries, offering a clearer perspective on divergent media narratives.
FRAPPE’s capabilities also extend to analyzing media framing methods. Nakov explains that the tool allows users to compare how different media outlets address specific issues. For instance, one outlet in a particular country might emphasize the economic implications of climate change, while another focuses on its political or social dimensions.
AI is the cornerstone of FRAPPE’s functionality, enabling the tool to analyze complex linguistic patterns that influence readers’ opinions.
In a discussion with Asharq Al-Awsat, Nakov highlighted the tool’s capabilities, noting that AI in FRAPPE is fundamental to analyzing, classifying, and detecting intricate linguistic patterns that shape readers’ perceptions and emotions. He explained that the application uses AI to identify propaganda and persuasion techniques such as insults, fear-based language, bullying, exaggeration, and repetition. The system has been trained to recognize 23 subtle techniques often embedded in real-world media content.
Ensuring objectivity and reducing bias are among the main challenges in developing AI tools like FRAPPE. Nakov explains that FRAPPE focuses on analyzing the language used in articles rather than evaluating their accuracy or political stance.
To date, FRAPPE has analyzed over two million articles on topics such as the Russia-Ukraine war and climate change. The tool currently supports content analysis in 100 languages, with plans to expand its capabilities to additional languages and enhance the accuracy of its analyses, further strengthening its ability to comprehend global media patterns.