Epidemiologic Study of Gene Distribution in Romanian and Brazilian Patients with Non-Cicatricial Alopecia

• Published in: Medicina (Kaunas, Lithuania) Lithuania), 2023-09, Vol.59 (9), p.1654
• Main Authors: Păun, Monica, Torres, Gustavo, Țiplica, George Sorin, Cauni, Victor Mihail
• Format: Article
• Language: English
• Subjects: Alopecia; alopecia areata; Analysis; androgenetic alopecia; Baldness; Chi-square test; Corticosteroids; DNA analysis; Dutasteride; Eigenvalues; Genes; Genetic aspects; Genetic screening; genetic test; Genetic testing; Genomics; Genotype & phenotype; Health aspects; Hypotheses; Insulin-like growth factors; Minoxidil; Principal components analysis; Single nucleotide polymorphisms; Steroids; Variables
• ISSN: 1648-9144; 1010-660X; 1648-9144
• DOI: 10.3390/medicina59091654

Background: Androgenetic alopecia (AGA) and alopecia areata (AA) are the most common types of non-cicatricial alopecia. Both diseases have limited effective therapeutic options and affect patient quality of life. Pharmacogenetic tests can help predict the most appropriate treatment option by evaluating the single nucleotide polymorphisms (SNPs) corresponding to genes related to alopecia. The objective of the study was to evaluate and compare selected SNPs and genes in AA and AGA patients from Romania and Brazil. Materials and Methods: We performed a retrospective study regarding the associations between AA and AGA and 45 tag SNPs of 15 genes in 287 Romanian and 882 Brazilian patients. The DNA samples were collected from oral mucosa using a swab. The SNPs were determined by the qPCR technique. Each genetic test displays the subject’s genotype of the selected gene and the prediction of a successful treatment (e.g., genotype AA of the GR-alpha gene is related to a predisposition to normal sensibility to topical glucocorticoid, and, therefore, glucocorticoids should be effective). Results: The GR-alpha, GPR44-2, SULT1A1, and CRABP2 genes were statistically significantly different in Brazil compared to Romania. The SULT1A1 activity that predicts the response to minoxidil treatment showed in our analysis that minoxidil is recommended in half of the cases of AGA and AA. Patients with AGA and a high expression of SRD5A1 or PTGFR-2 may benefit from Dutasteride or Latanoprost treatment, respectively. Most of the studied genes showed no differences between the two populations. Conclusions: The DNA analysis of the patients with alopecia may contribute to a successful treatment.