Archives of Medicine and Health Sciences

REVIEW ARTICLE
Year
: 2020  |  Volume : 8  |  Issue : 2  |  Page : 263--266

A perspective on predictive markers of alopecia


Anil Kakunje1, Ashwini Prabhu2, Rahyanath Pookoth1, ES Sindhu Priya3, Ravichandra Karkal1, Parmod Kumar4, Nitin Gupta5 
1 Department of Psychiatry, Yenepoya Medical College, Yenepoya University, Mangalore, Karnataka, India
2 Yenepoya Research Centre, Yenepoya University, Mangalore, Karnataka, India
3 Department of Pharmacology, Yenepoya Pharmacy College and Research Center, Yenepoya University, Mangalore, Karnataka, India
4 Consultant Psychiatrist, Parmod Clinic, Chandigarh, India
5 Consultant Psychiatrist, Chandigarh, India

Correspondence Address:
Dr. Anil Kakunje
Department of Psychiatry, Yenepoya Medical College, Yenepoya University, Mangalore, Karnataka
India

Hair is a primary characteristic of mammals and is an immune-privileged structure. Autoimmune attack of the hair follicle characterizes a disease called alopecia areata (AA), an auto-immune disorder, targeting the anagen-stage hair follicle. Erythroid differentiation regulator 1 is one of the presently investigated biomarkers for hair loss disorders. There are majorly two types of AA, namely diffuse and focal. Androgenetic alopecia (AGA) is a common androgen-induced progressive disorder, the pathways of which are regulated by local genetic codes and hormonal control. AA incognita is a type of diffuse hair fall with no confirmatory diagnostic test. AGA in women is a common pathology, the systemic inflammation in AGA has not been extensively studied, but it raises the possibility of identifying new cardiovascular risk factors among female patients with AGA. Other biomarkers for hair loss disorders are C-reactive protein, fibrinogen, VSH, tumor necrosis factor-α, and interleukin-6. This review attempts to give a perspective on the predictive markers of alopecia, their significance, and implications for future research.


How to cite this article:
Kakunje A, Prabhu A, Pookoth R, Sindhu Priya E S, Karkal R, Kumar P, Gupta N. A perspective on predictive markers of alopecia.Arch Med Health Sci 2020;8:263-266


How to cite this URL:
Kakunje A, Prabhu A, Pookoth R, Sindhu Priya E S, Karkal R, Kumar P, Gupta N. A perspective on predictive markers of alopecia. Arch Med Health Sci [serial online] 2020 [cited 2022 Jun 27 ];8:263-266
Available from: https://www.amhsjournal.org/article.asp?issn=2321-4848;year=2020;volume=8;issue=2;spage=263;epage=266;aulast=Kakunje;type=0