Skip to main navigation Skip to search Skip to main content

Extracellular vesicles from bacteria and fungi: mechanistic insights and implications for urinary tract infections

  • Eddie Chung Ting Chau
  • , Pak Ting Hau
  • , Michaela Murillo
  • , Chi Ching Tsang
  • , Emily Wan Ting Tam
  • , Sai Wang Seto
  • , Cheuk Lun Lee
  • , Franklin Wang Ngai Chow

Research output: Contribution to journal › Review article › peer-review

1 Citation (Scopus)

Abstract

Urinary tract infections (UTIs) pose a significant public health challenge, affecting approximately 407 million people worldwide and causing substantial morbidity and approximately 237,000 deaths. Bacteria and fungi represent the most frequent causative microbes, leading to symptoms such as low abdominal pain, fever, frequent urination, hematuria, sepsis, inflammation of the bladder and kidney, and even death. In recent years, extracellular vesicles (EVs) have emerged as critical mediators of UTI pathogenesis. EVs are lipid bilayer nanoscale particles that carry DNA, RNA, enzymes, and other biomolecules. They can facilitate microbial colonization, immune modulation and evasion, tissue invasion, and antimicrobial agent resistance. This review summarizes current knowledge on the role of bacterial and fungal-derived EVs in UTIs, their mechanisms of action, and their potential therapeutic implications.

Original languageEnglish
Pages (from-to)860-875
Number of pages16
JournalExtracellular Vesicles and Circulating Nucleic Acids
Volume6
Issue number4
DOIs
Publication statusPublished - Dec 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Urinary tract infections
  • antimicrobial resistance
  • extracellular vesicles
  • host-pathogen interaction

Fingerprint

Dive into the research topics of 'Extracellular vesicles from bacteria and fungi: mechanistic insights and implications for urinary tract infections'. Together they form a unique fingerprint.

Cite this