Saturday, July 01, 2023

 

Adding natural molecule to toothpastes and mouthwash may help prevent plaque and cavities


3,3′-Diindolylmethane (DIM) reduced Streptococcus mutans biofilm by 90%, which is considered a main cause of plaque and cavities


Peer-Reviewed Publication

BEN-GURION UNIVERSITY OF THE NEGEV




BEER-SHEVA, Israel, June 29, 2023 – Most of the world's population either chronically suffers from plaque and dental cavities or will develop them at some point in their lives. Toothpastes, mouthwashes, and regular checkups do their part, but more could always be done. Ben-Gurion University of the Negev scientists and their colleagues at Sichuan University and the National University of Singapore have discovered that 3,3′-Diindolylmethane (DIM), a naturally occurring molecule also known as bisindole, reduces the biofilms that produce plaque and cavities by 90%. The molecule is also found to have anti-carcinogenic properties.

Their findings were published earlier this month in the journal Antibiotics.

Your mouth is a great reservoir for bacteria such as S. mutans, which is believed to be one of the primary actors in dental cavities. S. mutans grows in the moist and sugary atmosphere of your mouth after food in a biofilm that coats your teeth. Biofilm generates plaque, attacks enamel and causes cavities. The scientists found that the bisindole (DIM) disrupted that biofilm by 90% and therefore the bacterium was not given a chance to grow.

"The molecule, which was found to have low toxicity, could be added to toothpastes and mouthwashes to greatly improve dental hygiene," says lead author Prof. Ariel Kushmaro of the Avram and Stella Goldstein-Goren Department of Biotechnology Engineering. He is also a member of the Ilse Katz Institute for Nanoscale Science and Technology and the Goldman Sonnenfeldt School of Sustainability and Climate Change.

The study was conducted with his student Yifat Baruch, and Dr. Karina Golberg, as well as Prof. Robert S. Marks of the same department and Qun Sun of Sichuan University, and Karina Yew-Hoong Gin of the National University of Singapore.

The research was supported by the International Research and Development Program of Sichuan (2019YFH0113) and SMART innovation grant ING-000398 (Singapore).

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