PHILIPPE MOUSSOU¹*, WENDY CHAN², CATHERINE BONNAUD-ROSAYE¹, SÉBASTIEN CADAU¹, NICOLAS BERTHELEMY¹, VALÉRIE ANDRÉ-FREI¹, CECILE KALEM¹
*Corresponding author
1. BASF Beauty Care Solutions France, Lyon, France
2. BASF Corporation, Tarrytown, New York, United States

Abstract

Silent inflammation is a biochemical process that accelerates the body’s degeneration. It can be triggered by lifestyle factors like stress, and its effects include damage to the skin and scalp. Consumers are searching for ways to counteract this process. Artificial Intelligence has recently been used to discover plant-based biopeptides derived from organic rice proteins that are now proven to fight against damage caused by silent inflammation. In vitro and in vivo tests have confirmed that this natural active ingredient increases skin moisture and firmness, decreases scalp redness, and lowers the pH level of the scalp. This opens up opportunities for cosmetics manufacturers to provide leave-on and rinse-off products that help keep the skin and scalp healthy.

COUNTERACTING DEGENERATION OF THE SKIN AND SCALP

Inflammation is a biochemical process that helps the body to heal and fight infection by removing potential causes of injury from cells (1). However, external factors like stress or air pollution (2) progressively deregulate this inflammation process. This disrupted process, known as silent inflammation or inflammaging, fights against healthy cells and accelerates the body’s degeneration (3), including causing damage to the skin and scalp.

USING ARTIFICIAL INTELLIGENCE TO DISCOVER INNOVATIVE PLANT-BASED PEPTIDES

Peptides are popular ingredients for cosmetic solutions that aim to promote health in the skin and scalp (4, 5). In addition to defined single bioactive peptides, hydrolysed proteins derived from plant or animal sources, such as collagen, keratin, silk, milk, wheat, soy or rice proteins, have been used as skin and hair conditioning agents or active ingredients in cosmetics (6, 7).

Obtained by enzymatic hydrolysis, they are mixtures of low molecular weight peptides with undefined sequences (8).

There are too many possib ...