In Search of Hair Damage Using Metabolomics

The document discussed the application of metabolomics to study hair damage, highlighting the work of Joo et al., who used metabolomic statistical methods to analyze hair samples subjected to chemical treatments like bleaching, dyeing, and perming. They identified changes in amino acids, such as cysteine converting to cysteic acid, and alterations in tryptophan and methionine. Additionally, they produced a comprehensive hair lipid data set, revealing specific lipid changes correlating with the severity of hair damage. The study suggested that while metabolomics could identify biomarkers of hair damage, its potential to guide the development of antidamage treatments remained uncertain.