Global Proteome Profiling Reveals Drug-Resistant Traits in Elizabethkingia meningoseptica: An Opportunistic

Archana Agrawal1, Raju Ravikumar1, Chakrakodi N Varun1

  • 11 Department of Neuromicrobiology, National Institute of Mental Health and Neurosciences, Bangalore, India.

Insights

This study presents the first global proteome of Elizabethkingia meningoseptica, identifying 2506 proteins. This research enhances understanding of this multidrug-resistant pathogen and aids in developing new treatments for hospital-acquired infections.

Area of Science:

  • Microbiology
  • Proteomics
  • Genomics

Background:

  • Elizabethkingia meningoseptica is an opportunistic Gram-negative pathogen causing hospital-acquired infections, particularly meningitis in vulnerable populations.
  • Its multidrug resistance and limited molecular data hinder effective clinical management and public health strategies.
  • E. meningoseptica is recognized as a significant nosocomial pathogen, especially in device-related infections.

Purpose of the Study:

  • To provide the first comprehensive global proteome of Elizabethkingia meningoseptica.
  • To identify proteins associated with multidrug resistance and other virulence factors.
  • To refine genome annotation and discover novel protein-coding genes using a proteogenomic approach.

Main Methods:

  • Proteomic analysis of the reference strain E. meningoseptica ATCC 13253 using high-resolution Fourier transform mass spectrometry.
  • Application of a proteogenomic workflow to harness proteomics data for genome annotation refinement.
  • Identification and characterization of translated proteins, including those involved in drug resistance.

Main Results:

  • Translational evidence for 2506 proteins in E. meningoseptica was established.
  • Multiple proteins linked to multidrug resistance, including metallo-β-lactamases, transcriptional regulators, and efflux transporters, were identified.
  • A carbapenem synthesis pathway enzyme, CarD, was discovered, along with 39 novel protein-coding genes, and four existing translations were corrected.

Conclusions:

  • The comprehensive proteomic data enhances molecular understanding of E. meningoseptica.
  • The identification of drug resistance proteins offers targets for developing novel antibiotics.
  • This study provides a foundation for accelerated research into E. meningoseptica infections and improved therapeutic strategies.

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