Proteomic Approaches in Different Animal Pathogens
A special issue of Pathogens (ISSN 2076-0817).
Deadline for manuscript submissions: 15 March 2026 | Viewed by 21
Special Issue Editors
Interests: biomarkers; electrophoresis; serum protein; proteomic assay; inflammation; wildlife and domestic species
Interests: immunology; oxidative stress; host–pathogen interaction
Special Issue Information
Dear Colleagues,
Understanding the complex interactions between animal pathogens and their hosts is essential for advancing diagnostics, treatment, and disease prevention strategies in both veterinary and comparative biomedical sciences. Proteomics—the large-scale study of proteins, including their structures, functions, and dynamics—has emerged as a powerful tool with which to unravel these interactions at a molecular level. In recent years, proteomic technologies have significantly contributed to identifying virulence factors, host immune responses, and potential biomarkers of infection across a wide range of animal species and pathogen types, including viruses, bacteria, parasites, and fungi.
This Special Issue aims to bring together original research articles, reviews, and short communications that showcase cutting-edge proteomic applications in the study of animal pathogens. Contributions that employ mass spectrometry-based proteomics, quantitative or comparative proteomics, phosphoproteomics, interactomics, or integrative multiomics approaches are especially welcome. Studies focusing on host–pathogen interaction, pathogen proteome characterization, vaccine target identification, antimicrobial resistance, and biomarker discovery for diagnostic or prognostic purposes will be particularly relevant.
We also encourage submissions exploring methodological advancements, data analysis tools, or case studies demonstrating how proteomic data can translate into practical outcomes in animal health and disease management. This Special Issue seeks to highlight both fundamental and translational aspects of proteomics in veterinary microbiology, pathology, parasitology, and infectious disease research.
We invite contributions from researchers working with domestic animals, wildlife, aquatic species, and laboratory models, helping to expand the understanding of animal pathogenesis and One Health implications through proteomic insights.
Dr. Leandro Abreu Da Fonseca
Dr. Leandro Licursi de Oliveira
Dr. Mariana Machado Neves
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Pathogens is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- animal pathogens
- proteomics
- host–pathogen interaction
- mass spectrometry
- biomarkers
- veterinary diagnostics
- pathogen virulence factors
- one health
- multiomics
- antimicrobial resistance
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