Literature DB >> 27095546

Photobiomodulation devices for hair regrowth and wound healing: a therapy full of promise but a literature full of confusion.

Charles Mignon1,2, Natalia V Botchkareva1, Natallia E Uzunbajakava3, Desmond J Tobin1.   

Abstract

Photobiomodulation is reported to positively influence hair regrowth, wound healing, skin rejuvenation and psoriasis. Despite rapid translation of this science to commercial therapeutic solutions, significant gaps in our understanding of the underlying processes remain. The aim of this review was to seek greater clarity and rationality specifically for the selection of optical parameters for studies on hair regrowth and wound healing. Our investigation of 90 reports published between 1985 and 2015 revealed major inconsistencies in optical parameters selected for clinical applications. Moreover, poorly understood photoreceptors expressed in skin such as cytochrome c oxidase, cryptochromes, opsins etc. may trigger different molecular mechanisms. All this could explain the plethora of reported physiological effects of light. To derive parameters for optimal clinical efficacy of photobiomodulation, we recommend a more rational approach to underpin clinical studies, with research on molecular targets and pathways using well-defined biological model systems to enable translation of optical parameters from in vitro to in vivo. Furthermore, special attention needs to be paid when conducting studies for hair regrowth, aiming for double-blind, placebo-controlled randomized clinical trials as the gold standard for quantifying hair growth.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  cryptochromes; opsins; optical parameters; photobiology; skin and hair regeneration

Mesh:

Year:  2016        PMID: 27095546     DOI: 10.1111/exd.13035

Source DB:  PubMed          Journal:  Exp Dermatol        ISSN: 0906-6705            Impact factor:   3.960


  7 in total

1.  Shedding light on the variability of optical skin properties: finding a path towards more accurate prediction of light propagation in human cutaneous compartments.

Authors:  C Mignon; D J Tobin; M Zeitouny; N E Uzunbajakava
Journal:  Biomed Opt Express       Date:  2018-01-29       Impact factor: 3.732

2.  Safety of light emitting diode-red light on human skin: Two randomized controlled trials.

Authors:  Jared Jagdeo; Julie K Nguyen; Derek Ho; Erica B Wang; Evan Austin; Andrew Mamalis; Ramanjot Kaur; Ekaterina Kraeva; Joshua M Schulman; Chin-Shang Li; Samuel T Hwang; Ted Wun; Emanual Maverakis; R Rivkah Isseroff
Journal:  J Biophotonics       Date:  2019-12-08       Impact factor: 3.207

Review 3.  Visible light. Part I: Properties and cutaneous effects of visible light.

Authors:  Evan Austin; Amaris N Geisler; Julie Nguyen; Indermeet Kohli; Iltefat Hamzavi; Henry W Lim; Jared Jagdeo
Journal:  J Am Acad Dermatol       Date:  2021-02-25       Impact factor: 11.527

4.  Red (660 nm) or near-infrared (810 nm) photobiomodulation stimulates, while blue (415 nm), green (540 nm) light inhibits proliferation in human adipose-derived stem cells.

Authors:  Yuguang Wang; Ying-Ying Huang; Yong Wang; Peijun Lyu; Michael R Hamblin
Journal:  Sci Rep       Date:  2017-08-10       Impact factor: 4.379

5.  Cultured Human Fibroblast Biostimulation Using a 940 nm Diode Laser.

Authors:  Rebeca Illescas-Montes; Lucía Melguizo-Rodríguez; Francisco Javier Manzano-Moreno; Olga García-Martínez; Concepción Ruiz; Javier Ramos-Torrecillas
Journal:  Materials (Basel)       Date:  2017-07-13       Impact factor: 3.623

6.  Photobiomodulation of human dermal fibroblasts in vitro: decisive role of cell culture conditions and treatment protocols on experimental outcome.

Authors:  C Mignon; N E Uzunbajakava; B Raafs; N V Botchkareva; D J Tobin
Journal:  Sci Rep       Date:  2017-06-05       Impact factor: 4.379

Review 7.  Recognition of Melanocytes in Immuno-Neuroendocrinology and Circadian Rhythms: Beyond the Conventional Melanin Synthesis.

Authors:  Yan-Yan Chen; Li-Ping Liu; Hang Zhou; Yun-Wen Zheng; Yu-Mei Li
Journal:  Cells       Date:  2022-06-30       Impact factor: 7.666

  7 in total

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