文章基本信息

标题：Multi-omic Analyses of Plasma Cytokines, Lipidomics, and Transcriptomics Distinguish Treatment Outcomes in Cutaneous Leishmaniasis
本地全文：下载
作者：Hayna Malta-Santos ; Kiyoshi F. Fukutani ; Carlos A. Sorgi 等
期刊名称：iScience
印刷版ISSN：2589-0042
出版年度：2020
卷号：23
期号：12
页码：1-30
DOI：10.1016/j.isci.2020.101840
语种：English
出版社：Elsevier
摘要：SummaryLeishmania braziliensisinfection frequently results in cutaneous leishmaniasis (CL). An increase in incidence of drug-resistant CL leading to treatment failure has been reported. Identification of reliable predictors of treatment outcomes is necessary to optimize patient care. Here, we performed a prospective case-control study in which plasma levels of cytokines and lipid mediators were assessed at different time points during antileishmanial therapy in patients with CL from Brazil. Multidimensional analyses were employed to describe a combination of biomarkers able to predict and characterize treatment failure. We found a biosignature influenced mainly by plasma levels of lipid mediators that accurately predicted treatment failure. Furthermore, transcriptomic analysis of a publicly available data set revealed that expression levels of genes related to lipid metabolism measured in skin lesions could distinguish treatment outcomes in CL. Thus, activation of pathways linked to lipid biosynthesis predicts treatment failure in CL. The biomarkers identified may be further explored as therapeutic targets.Graphical AbstractDisplay OmittedHighlights•Plasma markers were tested to predict outcomes of patients with cutaneous leishmaniasis•Patients who failed treatment exhibited distinction in biomarker correlation networks•A biosignature of treatment failure included plasma cytokines and lipid mediators•Levels of eotaxin, TGF-β, and 11-HETE could be used to predict outcomesBiological Sciences; Omics; Lipidomics