Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil.
Department of Molecular Biology, Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil.
Front Immunol. 2022 Aug 25;13:974051. doi: 10.3389/fimmu.2022.974051. eCollection 2022.
The immunopathology associated with Leishmaniasis is a consequence of inflammation. Upon infection with , the type of host-immune response is determinant for the clinical manifestations that can lead to either self-healing or chronic disease. Multiple pathways may determine disease severity. A comparison of systemic immune profiles in patients with cutaneous leishmaniasis caused by and healthy individuals with the same socio-epidemiological characteristics coming from the same endemic areas as the patients is performed to identify particular immune profile and pathways associated with the progression of disease development. Twenty-seven plasma soluble circulating factors were evaluated between the groups by univariate and multivariate analysis. The following biomarkers pairs IL-17/IL-9 (ρ=0,829), IL-17/IL-12 (ρ=0,786), IL-6/IL-1ra (ρ=0,785), IL-6/IL-12 (ρ=0,780), IL-1β/G-CSF (ρ=0,758) and IL-17/MIP-1β (ρ=0,754) showed the highest correlation mean among the patient while only INF-γ/IL-4 (ρ=0.740), 17/MIP-1β (ρ=0,712) and IL-17/IL-9 (ρ=0,707) exhibited positive correlation among the control group. The cytokine IL-17 and IL1β presented the greater number of positive pair correlation among the patients. The linear combinations of biomarkers displayed IP-10, IL-2 and RANTES as the variables with the higher discriminatory activity in the patient group compared to PDGF, IL-1ra and eotaxin among the control subjects. IP-10, IL-2, IL-1β, RANTES and IL-17 seem to be predictive value of progression to the development of disease among the -infected individuals.
利什曼病相关的免疫病理学是炎症的结果。感染 后,宿主免疫反应的类型决定了临床表现,可以导致自限性或慢性疾病。多种途径可能决定疾病的严重程度。对来自同一流行地区、具有相同社会流行病学特征的皮肤利什曼病患者和健康个体进行系统性免疫特征比较,以确定与疾病进展相关的特定免疫特征和途径。通过单变量和多变量分析评估了两组之间的 27 种血浆可溶性循环因子。以下生物标志物对 IL-17/IL-9(ρ=0,829)、IL-17/IL-12(ρ=0,786)、IL-6/IL-1ra(ρ=0,785)、IL-6/IL-12(ρ=0,780)、IL-1β/G-CSF(ρ=0,758)和 IL-17/MIP-1β(ρ=0,754)在患者中表现出最高的相关性均值,而 INF-γ/IL-4(ρ=0.740)、17/MIP-1β(ρ=0,712)和 IL-17/IL-9(ρ=0,707)在对照组中表现出正相关。细胞因子 IL-17 和 IL1β 在患者中表现出最多的正相关对。与对照组中的 PDGF、IL-1ra 和 eotaxin 相比,生物标志物的线性组合显示 IP-10、IL-2 和 RANTES 是患者组中具有更高鉴别活性的变量。IP-10、IL-2、IL-1β、RANTES 和 IL-17 似乎是感染个体向疾病发展进展的预测值。