Wednesday April 1, 2020

Researchers Develop Hydrogel to Treat Infections in Wound

New hydrogel to prevent infections in wounds developed

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wounds
The ability to effectively heal wounds is key for our survival in evolutionary terms. Pixabay

Researchers have developed a new hydrogel based on the body’s natural peptide defence as it has been shown to prevent and treat infections in wounds.

The formulation kills multi-resistant bacteria, something that is increasing in importance with antibiotic resistance growing globally, said the study, published in the journal Science Translational Medicine.

“The ability to effectively heal wounds is key for our survival in evolutionary terms. There are peptides in wounds that defend against bacteria and prevent their toxins from causing inflammation,” said study researcher Artur Schmidtchen, Professor at Lund University in Sweden.

“The gel is based on these natural defence mechanisms and has had a dual effect – by both preventing as well as treating wound infections,” Schmidtchen added.

wounds
The gel is based on these natural defence mechanisms and has had a dual effect – by both preventing as well as treating infections in wounds. Pixabay

According to the researchers, antibiotics and antiseptics kill the bacteria but do not affect the subsequent harmful inflammatory process.

“Another problem is that the active substances in today’s antiseptic wound treatment often are toxic and harmful to the environment. We have not seen this with our active substance, and it also kills multi-resistant bacteria,” Schmidtchen said.

The wound gel is not only antibacterial, it also has an immunosuppressive effect.

The researchers have previously shown that the peptides in the gel can inactivate so-called lipopolysaccharides (LPS), that are found in cell walls of bacteria, and that trigger an inflammatory reaction.

The reaction is an essential part of our immune system as we quickly respond to and fight bacteria.

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“However, severe and uncontrolled inflammation inhibits wound healing, and it is very interesting to see that the gel lowers the inflammatory response within 24 hours of the treatment, and then further reduces the bacterial levels over a period of three to four days,” Schmidtchen added.

We have designed a whole new type of treatment that uses nature’s own principles by not only killing bacteria but also acting as an immune-modulatoring”, said Indian-origin researcher and study co-author Manoj Puthia. (IANS)

Next Story

Can AI Predict Diabetes Accurately? Find it Out Here

AI to predict future diabetes cases with 94% accuracy

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AI diabetes
Researchers have revealed that with the help of artificial intelligence (AI) their trained computer model predicted the future incidence of diabetes. Pixabay

Researchers have revealed that with the help of artificial intelligence (AI) their trained computer model predicted the future incidence of diabetes with an overall accuracy of 94.9 per cent.

Artificial intelligence (AI) is the development of computer systems able to perform tasks that normally require human intelligence. Diabetes is linked to increased risks of severe health problems, including heart disease and cancer. Preventing diabetes is essential to reduce the risk of illness and death.

“Currently, we do not have sufficient methods for predicting which generally healthy individuals will develop diabetes,” said study lead author Akihiro Nomura from Kanazawa University in Japan. “Using machine learning, it could be possible to precisely identify high-risk groups of future diabetes patients better than using existing risk scores,” Nomura added.

For the findings, published in the Journal of the Endocrine Society, the researchers investigated the use of a type of artificial intelligence called machine learning in diagnosing diabetes.

AI diabetes
Artificial intelligence (AI) is the development of computer systems able to perform tasks that normally require human intelligence. Pixabay

Machine learning is a type of AI that enables computers to learn without being explicitly programmed. The research team analysed 509,153 nationwide annual health checkup records from 139,225 participants from 2008 to 2018 in the city of Kanazawa in Japan.

Among them, 65,505 participants without diabetes were included. The data included physical exams, blood and urine tests and participant questionnaires.

Patients without diabetes at the beginning of the study who underwent more than two annual health checkups during this period were included.

New cases of diabetes were recorded during patients’ checkups, the researchers said.

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The researchers identified a total of 4,696 new diabetes patients (7.2 per cent) in the study period. Their computer model predicted the future incidence of diabetes with an overall accuracy of 94.9 per cent.

According to the authors, the next plan is to perform clinical trials to assess the effectiveness of using statins to treat groups of patients identified by the machine learning model as being at high risk of developing diabetes. (IANS)