Innate Immune Responses of to BCG Challenge Identified Using Proteomic and Molecular Approaches.

Front Cell Infect Microbiol

Section of Paediatric Infectious Disease, Department of Infectious Disease, Imperial College London, London, United Kingdom.

Published: July 2021

The larvae of the insect , have recently been established as a non-mammalian infection model for the complex (MTBC). To gain further insight into the potential of this model, we applied proteomic (label-free quantification) and transcriptomic (gene expression) approaches to characterise the innate immune response of to infection with BCG over a 168 h time course. Proteomic analysis of the haemolymph from infected larvae revealed distinct changes in the proteome at all time points (4, 48, 168 h). Reverse transcriptase quantitative PCR confirmed induction of five genes (, , , , and ), which encoded proteins found to be differentially abundant from the proteomic analysis. However, the trend between gene expression and protein abundance were largely inconsistent (20%). Overall, the data are in agreement with previous phenotypic observations such as haemocyte internalization of mycobacterial bacilli (hemolin/β-actin), formation of granuloma-like structures (Hdd11), and melanization (phenoloxidase activating enzyme 3 and serpins). Furthermore, similarities in immune expression in , mouse, zebrafish and cell-line models of tuberculosis infection were also identified for the mechanism of phagocytosis (β-actin). Cecropins (antimicrobial peptides), which share the same α-helical motif as a highly potent peptide expressed in humans (h-CAP-18), were induced in in response to infection, giving insight into a potential starting point for novel antimycobacterial agents. We believe that these novel insights into the innate immune response further contribute to the validation of this cost-effective and ethically acceptable insect model to study members of the MTBC.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900627PMC
http://dx.doi.org/10.3389/fcimb.2021.619981DOI Listing

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