Female Pattern Hair Loss: An Overview with Focus on the Genetics

Author:

Ho Chih-Yi1ORCID,Chen Jeff Yi-Fu2,Hsu Wen-Li3ORCID,Yu Sebastian3ORCID,Chen Wei-Chiao3,Chiu Szu-Hao3,Yang Hui-Ru4,Lin Sheng-Yao3,Wu Ching-Ying35ORCID

Affiliation:

1. School of Post Baccalaureate Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan

2. Department of Biotechnology, Kaohsiung Medical University, Kaohsiung 807, Taiwan

3. Department of Dermatology, College of Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 801, Taiwan

4. Department of Laboratory Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung 801, Taiwan

5. Department of Cosmetic Science, Chang Gung University of Science and Technology, Taoyuan 333, Taiwan

Abstract

Pattern hair loss can occur in both men and women, and the underlying molecular mechanisms have been continuously studied in recent years. Male androgenetic alopecia (M-AGA), also termed male pattern hair loss, is the most common type of hair loss in men. M-AGA is considered an androgen-dependent trait with a background of genetic predisposition. The interplay between genetic and non-genetic factors leads to the phenotype of follicular miniaturization. Although this similar pattern of phenotypic miniaturization can also be found in female pattern hair loss (FPHL), the corresponding genetic factors in M-AGA do not account for the phenotype in FPHL, indicating that there are different genes contributing to FPHL. Therefore, the role of genetic factors in FPHL is still uncertain. Understanding the genetic mechanism that causes FPHL is crucial for the future development of personalized treatment strategies. This review aims to highlight the differences in the ethnic prevalence and genetic background of FPHL, as well as the current genetic research progress in nutrition, Wnt signaling, and sex hormones related to FPHL.

Funder

Kaohsiung Municipal Ta-Tung Hospital

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

Reference73 articles.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Methods of Transfer Learning for Multiclass Hair Disease Categorization;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3