Evaluation of Exosomal Proteins as Potential Biomarkers from RBC Stages of <i>Plasmodium falciparum</i> 3D7

Falciparum malaria relies extensively on cell-to-cell communication, and earlier research on the function of exosomal proteins derived from infected red blood cells (iRBCs) has been classified into numerous important roles. In this study, the exosomes were derived from <i>Pf3D7</i>-iRBCs cultured in vitro during synchronized trophozoite stages. The isolated exosomes were assessed using NTA, FE-SEM, and flow cytometry. Our study reported heterogeneous populations of exosomes during the infection. Additionally, label-free quantification based on LC/MS-MS for protein profiling revealed the presence of both parasitic and host (RBC) proteins; out of a total of 124 proteins detected, 20 <i>Pf3D7</i> proteins and 80 RBC proteins were identified. Exosomal RBC protein expression is different in cRBCs-Exo and iRBCs-Exo, which shows how the parasite and RBCs interact with each other. Functional classification reported that the majority of these <i>Pf3D7</i> proteins are uncharacterized with unknown functions, few of which are involved in biological processes such as regulation of complement activation, response to external stimuli, immune system-mediated signaling pathway, protein processing, etc. Hence, studying these exosomal proteins and comparing them to previous research has helped us understand how exosomes help cells to communicate in malaria. It may also reveal new potential biomarkers for diagnostic methods or therapies for malaria.

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Publication Details

Journal
ACS Infectious Diseases
Published
2024-12-18
DOI
https://doi.org/10.1021/acsinfecdis.4c00513
Citations
2
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.47
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article

Evaluation of Exosomal Proteins as Potential Biomarkers from RBC Stages of Plasmodium falciparum 3D7

Linz-Buoy George, Sumedha Shah, Sharad Gupta, Urja Joshi et al.
2 citations
ACS Infectious Diseases
Extracellular vesicles in disease
0.47
article

Evaluation of Exosomal Proteins as Potential Biomarkers from RBC Stages of Plasmodium falciparum 3D7

Linz-Buoy George, Sumedha Shah, Sharad Gupta, Urja Joshi, Hyacinth Highland
article en
2 citations

Abstract

Falciparum malaria relies extensively on cell-to-cell communication, and earlier research on the function of exosomal proteins derived from infected red blood cells (iRBCs) has been classified into numerous important roles. In this study, the exosomes were derived from <i>Pf3D7</i>-iRBCs cultured in vitro during synchronized trophozoite stages. The isolated exosomes were assessed using NTA, FE-SEM, and flow cytometry. Our study reported heterogeneous populations of exosomes during the infection. Additionally, label-free quantification based on LC/MS-MS for protein profiling revealed the presence of both parasitic and host (RBC) proteins; out of a total of 124 proteins detected, 20 <i>Pf3D7</i> proteins and 80 RBC proteins were identified. Exosomal RBC protein expression is different in cRBCs-Exo and iRBCs-Exo, which shows how the parasite and RBCs interact with each other. Functional classification reported that the majority of these <i>Pf3D7</i> proteins are uncharacterized with unknown functions, few of which are involved in biological processes such as regulation of complement activation, response to external stimuli, immune system-mediated signaling pathway, protein processing, etc. Hence, studying these exosomal proteins and comparing them to previous research has helped us understand how exosomes help cells to communicate in malaria. It may also reveal new potential biomarkers for diagnostic methods or therapies for malaria.

ACS Infectious DiseasesVol. 11(1)
Gujarat University (IN), Indian Institute of Technology Gandhinagar (IN)
Zero hunger
Openalex Percentile: Top 33%
Extracellular vesicles in disease
0.47
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Evaluation of Exosomal Proteins as Potential Biomarkers from RBC Stages of <i>Plasmodium falciparum</i> 3D7 — Linz-Buoy George, Sumedha Shah, et al. · ACS Infectious Diseases (2024) | TGRS Research Map | TGRS