MicroRNAs at the Host-Bacteria Interface: Host Defense or Bacterial Offense.

Trends Microbiol

Host RNA Metabolism Group, Institute for Molecular Infection Biology (IMIB), University of Würzburg, Würzburg, Germany; RNA & Infection Group, Center for Neuroscience and Cell Biology (CNC), University of Coimbra, Coimbra, Portugal. Electronic address:

Published: March 2019

MicroRNAs are a class of small noncoding RNAs that act as major post-transcriptional regulators of gene expression. They are currently recognized for their important role in the intricate interaction between host and bacterial pathogens, either as part of the host immune response to neutralize infection, or as a molecular strategy employed by bacteria to hijack host pathways for their own benefit. Here, we summarize recent advances on the function of miRNAs during infection of mammalian hosts by bacterial pathogens, highlighting key cellular pathways. In addition, we discuss emerging themes in this field, including the participation of miRNAs in host-microbiota crosstalk and cell-to-cell communication.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.tim.2018.10.011DOI Listing

Publication Analysis

Top Keywords

bacterial pathogens
8
micrornas host-bacteria
4
host-bacteria interface
4
host
4
interface host
4
host defense
4
defense bacterial
4
bacterial offense
4
offense micrornas
4
micrornas class
4

Similar Publications

Purpose Of Review: This review explores the phenomenology, pathogenesis, and nosology of headaches associated with infections, an often-overlooked yet clinically significant symptom. With the increasing recognition of secondary headaches in infections, understanding their clinical patterns, mechanisms, and classifications is crucial for accurate diagnosis and management.

Recent Findings: Headaches in infections are ubiquitous but vary in presentation, severity, and underlying mechanisms depending on the causative pathogen.

View Article and Find Full Text PDF

Background: Methicillin-resistant (MRSA) poses a significant challenge in clinical environments due to its resistance to standard antibiotics. Protein A (SpA), a crucial virulence factor of MRSA, undermines host immune responses, making it an attractive target for vaccine development. This study aimed to identify potential epitopes within SpA that could elicit robust immune responses, ultimately contributing to the combat against multidrug-resistant (MDR) MRSA.

View Article and Find Full Text PDF

The morbidity and mortality of sepsis remain high. Clinicians lack effective markers to rapidly diagnose sepsis and identify the underlying pathogen infection particularly for patients with candidaemia or cases of culture-negative sepsis where culture-based diagnostics are inadequate. In our search for new lines of potential sepsis biomarkers, we here explore the impact of various classes of infectious agents on the serum -glycome in a septic shock cohort.

View Article and Find Full Text PDF

From pain to meningitis: bacteria hijack nociceptors to promote meningitis.

Front Immunol

January 2025

National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China.

Bacterial meningitis is a severe and life-threatening infection of the central nervous system (CNS), primarily caused by and . This condition carries a high risk of mortality and severe neurological sequelae, such as cognitive impairment and epilepsy. Pain, a central feature of meningitis, results from the activation of nociceptor sensory neurons by inflammatory mediators or bacterial toxins.

View Article and Find Full Text PDF

Label-free surface-enhanced Raman spectroscopy (SERS) combined with machine learning (ML) techniques presents a promising approach for rapid pathogen identification. Previous studies have demonstrated that purine degradation metabolites are the primary contributors to SERS spectra; however, generating these distinguishable spectra typically requires a long incubation time (>10 h) at room temperature. Moreover, the lack of attention to spectral variations between strains of the same bacterial species has limited the generalizability of ML models in real-world applications.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!