Identification of potential molecular mimicry in pathogen-host interactions

Area of Science:

• Bioinformatics
• Molecular Biology
• Pathogen Research

Background:

• Pathogens employ molecular mimicry, mimicking host biomolecules to manipulate host signaling pathways.
• Understanding these mimicry strategies is crucial for deciphering host-pathogen interactions.

Purpose of the Study:

• To develop and apply an optimized bioinformatics pipeline for identifying molecular mimicry candidates between humans and 32 pathogenic species.
• To analyze the characteristics and functional relevance of identified mimicry regions and their targeted human proteins.

Main Methods:

• Resurrected, updated, and optimized a sequence-based bioinformatics pipeline.
• Analyzed 3D structure predictions of proteomes from 32 pathogenic species against human proteins.
• Utilized clustering analysis to identify and characterize mimicked regions and associated human proteins.

Main Results:

• Identified 1,878 mimicked regions across 1,439 human proteins, with significant variations among pathogen types (bacteria, fungi, protozoans).
• Candidate mimicry regions were enriched in solvent-accessible areas, suggesting functional importance.
• Targeted human proteins were significantly associated with extracellular matrix organization and cytoskeletal processes, while immune proteins were underrepresented.

Conclusions:

• Molecular mimicry is a widespread pathogen strategy targeting diverse human proteins, particularly those involved in structural and organizational processes.
• The findings offer valuable insights into host-pathogen interactions and identify potential targets for novel therapeutic strategies.
• The study provides a resource for researchers investigating pathogen evasion mechanisms and developing new treatments.