Nonpigmented hair removal using photodynamic therapy in animal model

Hyoseung Shin, Ji Seon Yoon, Wooseok Koh, Jin Yong Kim, Chang Hyun Kim, Kang Min Han, Eo Jin Kim, Ohsang Kwon

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Background and Objective: Lasers have been successfully used for decades to remove dark hair. However, laser removal of nonpigmented hair is challenging due to the lack of chromophores. The aim of this study was to use photodynamic therapy (PDT) to remove nonpigmented hair. Study Design/Material and Methods: We compared the efficacy of permanent hair reduction in white BALB/c and black C57BL/6 mice treated with PDT or an 800-nm diode laser. We collected skin biopsy specimens and investigated post-PDT histologic changes and molecular changes. Results: We observed keratin 15 staining in the bulge area and alkaline phosphatase staining in the dermal papilla following PDT. We observed a temporary, catagen-like transformation in nonpigmented hair follicles after PDT. We observed apoptotic cells in the hair matrix after PDT. Irradiation with an 800-nm diode laser did not achieve nonpigmented hair removal. Multiple PDT sessions achieved permanent reduction of nonpigmented hair. Interestingly, removal of black hair using PDT was less efficient. Conclusion: Our results suggest that PDT can damage the nonpigmented hair matrix, but not stem cells or dermal papillae. Repeated PDT may impair the hair-regeneration capacity via a bystander effect on bulge stem cells or dermal papillae. In this study, we found it was possible to remove nonpigmented hair using PDT. Lasers Surg. Med. 48:748–762, 2016.

Original languageEnglish
Pages (from-to)748-762
Number of pages15
JournalLasers in Surgery and Medicine
Volume48
Issue number8
DOIs
StatePublished - 1 Oct 2016

Keywords

  • black hair
  • laser
  • light-emitting diode
  • methyl aminolevulinate
  • white hair

Fingerprint

Dive into the research topics of 'Nonpigmented hair removal using photodynamic therapy in animal model'. Together they form a unique fingerprint.

Cite this