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Metadata

Name
Point-of-Care Adipose-derived Cells for Hair Growth
Repository
ClinicalTrials.gov
Identifier
clinicaltrials:NCT02729415
Description
Androgenetic alopecia (AGA) is the most common form of hair loss and affects 50% and 23% of
Caucasian men and women, respectively, over the age of 50. The percentage of men and women
affected over the age of 70 increases to 80% and 60% of Caucasian men and women,
respectively. Although alopecia is considered a minor dermatologic condition, it is seen as a
serious condition with major life consequences by those with alopecia and has been associated
with increased incidence of myocardial infarction, hypertension and hypercholesterolaemia.
Androgenetic alopecia is associated with feelings of anxiety, depression and various
personality disorders among men and women due to physical appearance. Depression, anxiety,
aggressiveness, impaired quality of life and social inadequacy have been documented. The
presence of alopecia in women is particularly stressful.

ADSCs (Adipose Derived Stromal Cells), also called Stromal Vascular Fraction (SVF) cells,
include regenerative cell populations derived from adipose tissue and thus are potentially
important to multiple disease processes and therapeutic applications for the repair and
regeneration of acute and chronically damaged tissues. It has been postulated that SVF cells
may promote hair regeneration by increasing the hair-inducing ability of dermal papillae (DP)
cells.

The general objective of this study is to conduct a safety and feasibility study of a single
injection of autologous adipose-derived SVF cells for the treatment of alopecia.
Data or Study Types
clinical trial
Keywords
Hair Diseases, Alopecia
Source Organization
Unknown
Access Conditions
available
Year
2016
Access Hyperlink
https://clinicaltrials.gov/ct2/show/NCT02729415

Distributions

  • Encoding Format: HTML ; URL: https://clinicaltrials.gov/ct2/show/results/NCT02729415
This project was funded in part by grant U24AI117966 from the NIH National Institute of Allergy and Infectious Diseases as part of the Big Data to Knowledge program. We thank all members of the bioCADDIE community for their valuable input on the overall project.