Affiliations 

  • 1 School of Science, Monash University Malaysia, Subang Jaya, Malaysia
  • 2 Department of Biological Sciences, School of Medical and Life Sciences, Sunway University, Kuala Lumpur, Malaysia
  • 3 Medical Health and Translational Research Group (MHTR), Microbiome and Bioresource Research Strength (MBRS), Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Subang Jaya, Malaysia
  • 4 Biofunctional Molecule Exploratory (BMEX) Research Group, School of Pharmacy, Monash University Malaysia, Subang Jaya, Malaysia
Expert Rev Mol Diagn, 2022 Dec;22(12):1057-1062.
PMID: 36629056 DOI: 10.1080/14737159.2022.2166403

Abstract

INTRODUCTION: Extracellular vesicles (EVs) are spherical membrane-derived lipid bilayers released by cells. The human microbiota consists of trillions of microorganisms, with bacteria being the largest group secreting microbial EVs. The discovery of bacterial EVs (BEVs) has garnered interest among researchers as potential diagnostic markers, given that the microbiota is known to be associated with various diseases and EVs carry important macromolecular cargo for intercellular interaction.

AREAS COVERED: The differential bacterial composition identified from BEVs isolated from biofluids between patients and healthy controls may be valuable for detecting diseases. Therefore, BEVs may serve as novel diagnostic markers. Literature search on PubMed and Google Scholar databases was conducted. In this special report, we outline the commonly used approach for investigating BEVs in biofluids, the 16S ribosomal RNA gene sequencing of V3-V4 hypervariable regions, and the recent studies exploring the potential of BEVs as biomarkers for various diseases.

EXPERT OPINION: The emerging field of BEVs offers new possibilities for the diagnosis of various types of diseases, although there remain issues that need to be resolved in this research area to implement BEVs in clinical applications. Hence, it is important for future studies to take these challenges into consideration when investigating the diagnostic value of BEVs.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.