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. 2020 Aug:208:105517.
doi: 10.1016/j.actatropica.2020.105517. Epub 2020 Apr 28.

Identification of gene expression profiles in Leishmania major infection by integrated bioinformatics analyses

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Identification of gene expression profiles in Leishmania major infection by integrated bioinformatics analyses

Özlem Ulusan et al. Acta Trop. 2020 Aug.

Abstract

Gene expression profiling in mouse models of leishmaniasis has given useful information to understand the molecular pathways active in lesions and to discover new diagnostic/therapeutic targets. Although the host response plays a critical role in protection from leishmaniasis and promoting disease severity, there are still unexplained aspects in the mechanism of non-healing cutaneous lesions, which need biomarkers for both targeted- therapy and diagnosis. To address this, transcriptional profiling of the skin lesions obtained from BALB/c mice infected with Leishmania major and healthy skin from naïve mice were evaluated by bioinformatics analysis, and then the results were validated by Revers Transcriptase-PCR. Five genes among the up-regulated differentially expressed genes named FCGR4, CCL4, CXCL9, Arg1 and IL-1β were found to have relatively high diagnostic value for CL due to L. major. Pathway analysis revealed that Triggering Receptor Expressed On Myeloid Cells 1 (TREM1) signaling pathways are active in cutaneous lesions, providing new insights for the understanding and treatment of leishmaniasis.

Keywords: BALB/c mice; Gene expression; Leishmania major (L. major); Macrophages; TREM signaling.

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Conflict of interest statement

Declaration of Competing Interest The authors declare no confict of interest.

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