Academic Journal
Bridging the translational gap: an operational classification and quantitative framework for accelerating enteric vaccine research using animal models.
| Τίτλος: | Bridging the translational gap: an operational classification and quantitative framework for accelerating enteric vaccine research using animal models. |
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| Συγγραφείς: | Koley H; Division of Bacteriology, ICMR-National Institute for Research in Bacterial Infections, P-33 CIT Road, Scheme -XM, Beliaghata, Kolkata 700010, India. Electronic address: hemantakoley@hotmail.com., Mukherjee A; Division of Bacteriology, ICMR-National Institute for Research in Bacterial Infections, P-33 CIT Road, Scheme -XM, Beliaghata, Kolkata 700010, India., Mukhopadhyay AK; Division of Bacteriology, ICMR-National Institute for Research in Bacterial Infections, P-33 CIT Road, Scheme -XM, Beliaghata, Kolkata 700010, India., Das S; Division of Bacteriology, ICMR-National Institute for Research in Bacterial Infections, P-33 CIT Road, Scheme -XM, Beliaghata, Kolkata 700010, India., Howlader DR; Division of Bacteriology, ICMR-National Institute for Research in Bacterial Infections, P-33 CIT Road, Scheme -XM, Beliaghata, Kolkata 700010, India. Electronic address: debaki.r.howlader@gmail.com. |
| Πηγή: | Vaccine [Vaccine] 2026 Oct 24; Vol. 92, pp. 129167. Date of Electronic Publication: 2026 Sep 23. |
| Τύπος έκδοσης: | Journal Article; Review |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 8406899 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2518 (Electronic) Linking ISSN: 0264410X NLM ISO Abbreviation: Vaccine Subsets: MEDLINE |
| Imprint Name(s): | Publication: Amsterdam, The Netherlands : Elsevier Science Original Publication: [Guildford, Surrey, UK] : Butterworths, [c1983- |
| Ιατρικοί όροι (MeSH): | Vaccine Development*/methods , Disease Models, Animal* , Translational Research, Biomedical*, Dysentery, Bacillary/prevention & control ; Salmonella Infections/prevention & control ; Animals ; Humans ; Guinea Pigs ; Mice ; Rabbits ; Zebrafish |
| Περίληψη: | Enteric bacterial infections, notably shigellosis and salmonellosis, represent a staggering global health burden. Vaccine development is severely hampered by host-restriction, creating a persistent "translational gap" where preclinical data fails to correlate with human outcomes. Traditionally, model selection has been largely qualitative. This review provides a comprehensive analysis of the research landscape, evaluating the physiological fidelity of non-human primates, the surgical precision of rabbit and guinea pig models, and specialized induced rodent systems, including the streptomycin‑iron-overload mouse model. We further discuss emerging alternatives, including translucent zebrafish for real-time imaging and Human Intestinal Enteroids (HIE) for human-specific mechanistic insights. Crucially, we move beyond qualitative descriptions by introducing the Model Utility Index (MUI), a novel quantitative framework designed to objectively balance Normalized Clinical Fidelity (F) against the Geometric Efficiency Quotient (E). By applying constrained optimization logic, we propose the Context-Specific Model Optimization (CSMO) selection matrix to simplify the logistical burden of model choice, focusing on the unique translational hurdles of host-restricted invasive pathogens such as Shigella and typhoidal Salmonella. This strategy aligns specific research bottlenecks - from high-throughput screening to final regulatory validation, with mathematically optimized research systems. In light of the FDA Modernization Act 2.0, this integrated approach provides a robust roadmap for utilizing New Approach Methodologies (NAMs) to de-risk clinical transitions and accelerate the licensure of next-generation enteric vaccines. (Copyright © 2026 Elsevier Ltd. All rights reserved.) |
| Competing Interests: | Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. |
| Contributed Indexing: | Keywords: Animal models; Bacterial pathogenesis; Disease models; Enteric pathogens; Model utility index (MUI); Vaccine development |
| Entry Date(s): | Date Created: 20260924 Date Completed: 20260927 Latest Revision: 20260927 |
| Update Code: | 20260928 |
| DOI: | 10.1016/j.vaccine.2026.129167 |
| PMID: | 42784864 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1873-2518 |
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| DOI: | 10.1016/j.vaccine.2026.129167 |