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Serum resistin levels and resistin gene polymorphism in patients with acne vulgaris: does it correlate with disease severity?

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INTERNATIONAL JOURNAL OF DERMATOLOGY
卷 60, 期 10, 页码 1270-1277

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WILEY
DOI: 10.1111/ijd.15727

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The study found a correlation between RETN gene rs1862513 GG and G allele and the development and severity of acne vulgaris in a sample of the Egyptian population.
Background Acne vulgaris is a disease that inflames the sebaceous gland with multiple etiologies. Many proinflammatory adipokines contribute to this pathogenesis. Resistin is a proinflammatory mediator that activates kappa B, a nuclear factor, and c-Jun N-terminal kinases pathways inducing toll-like receptor-2, interleukin-1, 6, and tumor necrosis factor alpha. Resistin gene affects the promoter and intron regions' polymorphisms' expression levels. We aimed to study the association of resistin gene polymorphisms (RETN -420 C/G) and the development of acne vulgaris and whether it is associated with serum resistin levels and disease severity. Subjects and methods Resistin (RETN) gene (rs1862513) genotypes were identified using restriction fragment length polymorphism (RFLP), and serum resistin presence was assessed by enzyme-linked immunosorbent assay in 40 patients with acne vulgaris and 40 age- and sex-matched healthy controls as a cross-reference. Patients were divided into mild, moderate, and severe groups. Global Acne Grading System (GAGS) was used to assess the severity of acne vulgaris. Results CG and GG genotypes were present in cases (P = 0.006) odds ratio (OR)(1) = 4.43; 95% confidence interval (CI) (1.53, 12.7) and OR2 = 5.47; 95% CI (0.99, 30.1); G-allele statistically dominated in the patient group where P = 0.001 and OR = 3.57; 95% CI (1.63, 7.80). A positive significant relationship between RETN genotypes and serum resistin levels and GAGS score was present. Conclusion RETN genes rs1862513 GG and G allele are correlated to acne vulgaris development and severity in a sample of the Egyptian population. This study comprised a small sample size. The cases may not accurately represent the general population; only one clinic was enrolled in the study.

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