Extracellular Vesicles Secreted by Have COX and Proteolytic Activity and Induce Hemolysis

Overview

Journal Microorganisms

Specialty Microbiology

Date 2023 Nov 25

PMID 38004773

Authors

Francisco Sierra-Lopez

Ismael Castelan-Ramirez

Dolores Hernandez-Martinez

Lizbeth Salazar-Villatoro

David Segura-Cobos

Catalina Flores-Maldonado

Veronica Ivonne Hernandez-Ramirez

Tomas Ernesto Villamar-Duque

Adolfo Rene Mendez-Cruz

Patricia Talamas-Rohana

Maritza Omana-Molina

Affiliations

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Abstract

Several species of genus are potential pathogens and etiological agents of several diseases. The pathogenic mechanisms carried out by these amoebae in different target tissues have been documented, evidencing the relevant role of contact-dependent mechanisms. With the purpose of describing the pathogenic processes carried out by these protozoans more precisely, we considered it important to determine the emission of extracellular vesicles (EVs) as part of the contact-independent pathogenicity mechanisms of , a highly pathogenic strain. Through transmission electronic microscopy (TEM) and nanoparticle tracking analysis (NTA), EVs were characterized. EVs showed lipid membrane and a size between 60 and 855 nm. The secretion of large vesicles was corroborated by confocal and TEM microscopy. The SDS-PAGE of EVs showed proteins of 45 to 200 kDa. Antigenic recognition was determined by Western Blot, and the internalization of EVs by trophozoites was observed through Dil-labeled EVs. In addition, some EVs biological characteristics were determined, such as proteolytic, hemolytic and COX activity. Furthermore, we highlighted the presence of leishmanolysin in trophozites and EVs. These results suggest that EVs are part of a contact-independent mechanism, which, together with contact-dependent ones, allow for a better understanding of the pathogenicity carried out by .

Citing Articles

Comprehensive characterization of extracellular vesicles produced by environmental (Neff) and clinical (T4) strains of .

Medeiros E, Valente M, Honorato L, Ferreira M, Mendoza S, Goncalves D mSystems. 2024; 9(6):e0122623.

PMID: 38717186 PMC: 11237502. DOI: 10.1128/msystems.01226-23.

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