Affiliation:
1. Department of Dermatology, Faculty of Health Sciences University of Pretoria and Steve Biko Academic Hospital Pretoria South Africa
2. Department of Immunology, School of Medicine, Faculty of Health Sciences University of Pretoria Pretoria South Africa
3. Tshwane Academic Division of the National Health Laboratory Service Pretoria South Africa
Abstract
AbstractBackgroundPsoriasis is an immune‐mediated polygenic skin disorder. It is influenced by multiple genes as well as environmental factors including infection and trauma. Psoriasis is associated with molecular biomarkers such as HLA‐C*06:02 and associated single‐nucleotide variants (SNVs). Furthermore, the circulatory cytokines, interleukin (IL)‐17 and IL‐23 are elevated in psoriasis patients.ObjectivesTo investigate the incidence of biomarkers namely, HLA‐C*06:02, SNV's (rs30187, rs27044, rs2248374), and IL17 and IL23 as possible diagnostic/prognostic biomarkers of value, individually or in combination in psoriasis patients.MethodsThese biomarkers, HLA‐C*06:02, SNV's (rs3018, rs27044, rs2248374), and IL17 and IL23 (and their ratio) were tested in a cohort of 40 psoriasis patients attending a dermatology clinic situated in a tertiary academic hospital as well as 40 healthy controls by: HLA typing using sequence‐specific primers (PCR SSP), real time PCR, and Luminex technology, respectively.ResultsHLA‐C*06:02 was significantly elevated in our patient cohort with 53% (n = 21) of psoriasis patients expressing the HLA‐C*06:02 allele versus 15% (n = 6), p = 0.001 in the healthy controls. Both IL‐17 and IL‐23 were significantly elevated in the psoriasis patients compared to the normal controls (p = 0.0001 and p = 0.0005, respectively). The SNV rs2248374 showed an association with both IL‐17 and HLA‐C*06:02 in patients with psoriasis.ConclusionsOverall, these novel findings are the first to be published for South African and African populations in the public health sector. The finding of the current study corroborates international studies. Further validation through geographic and population expansion may assist in identifying individuals at risk of disease progression in psoriasis. These biomarkers may be used as potential prognosticators which will offer the opportunity for early medical intervention to reduce the burden of disease.