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Alterations in Pattern Baldness According to Sex: Hair Metabolomics Approach.
Lee, Yu Ra; Lew, Bark Lynn; Sim, Woo Young; Hong, Jongki; Chung, Bong Chul.
Afiliação
  • Lee YR; Molecular Recognition Research Center, Korea Institute of Science and Technology, Seoul 02792, Korea.
  • Lew BL; KHU-KIST Department of Converging Science and Technology, Kyung Hee University, Seoul 02447, Korea.
  • Sim WY; Department of Dermatology, Kyung Hee University Hospital at Gangdong, Kyung Hee University, Seoul 05278, Korea.
  • Hong J; Department of Dermatology, Kyung Hee University Hospital at Gangdong, Kyung Hee University, Seoul 05278, Korea.
  • Chung BC; KHU-KIST Department of Converging Science and Technology, Kyung Hee University, Seoul 02447, Korea.
Metabolites ; 11(3)2021 Mar 18.
Article em En | MEDLINE | ID: mdl-33803764
Pattern baldness has been associated with the male hormone, dihydrotestosterone. In this study, we tried to determine how the overall metabolic pathways of pattern baldness differ in patients and in normal controls. Our study aimed to identify alterations in hair metabolomic profiles in order to identify possible markers of pattern baldness according to sex. Untargeted metabolomics profiling in pattern baldness patients and control subjects was conducted using ultra-performance liquid chromatography-mass spectrometry. To identify significantly altered metabolic pathways, partial least squares discriminant analysis was performed. Our analysis indicated differences in steroid biosynthesis pathway in both males and females. However, there was a remarkable difference in the androgen metabolic pathway in males, and the estrogen metabolic and arachidonic acid pathways in females. For the first time, we were able to confirm the metabolic pathway in pattern baldness patients using hair samples. Our finding improves understanding of pattern baldness and highlights the need to link pattern baldness and sex-related differences.
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Metabolites Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Metabolites Ano de publicação: 2021 Tipo de documento: Article