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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Vaccines and Molecular Therapeutics

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1651095

A biomimetic model composed of injectable 3D-muscle like tissue, stromal and immune cells for recapitulating the rapid immune signature predictive of mRNA vaccine immunogenicity

Provisionally accepted
  • 1National Institute of Health (ISS), Rome, Italy
  • 2Universita degli Studi di Roma Tor Vergata, Rome, Italy
  • 3Universita degli Studi di Padova, Padua, Italy
  • 4IRCCS Humanitas Research Hospital, Rozzano, Italy

The final, formatted version of the article will be published soon.

Background: System vaccinology identified an early innate signature associated with vaccine-mediated protection whose induction is likely to involve both immune and non-immune cells. Methods: To dissect muscle and stromal cell contribution, we in vitro simulated anti-COVID19 BNT162b2 mRNA vaccine intramuscular administration in human primary cell systems composed of 3D muscle-like tissue (3D-MT), fibroblasts and peripheral blood mononuclear cells (PBMC). Results: BNT162b2 vaccine was recognized by all cell types, although fibroblasts only translated the spike antigen. Factors from vaccine-injected 3D-MT stimulated monocyte and macrophage recruitment and promoted inflammatory macrophage activation, while stromal factors improved dendritic cell frequency and activation. Conditioned media from vaccine exposed 3D-MT and fibroblasts elicited in PBMC the expression of an early innate immune module previously associated with protective responses in BNT162b2 vaccinees. Conclusion: Thus, models combining human PBMC, stromal and muscle cells could be employed for the in vitro validation of system vaccinology findings and non-animal vaccine pre-clinical testing.

Keywords: Vaccine, Muscle Cells, Fibroblasts, immune cells, innate immune signature, In vitro Models

Received: 20 Jun 2025; Accepted: 18 Sep 2025.

Copyright: © 2025 Etna, Fuoco, Severa, Ricci, Sinigaglia, Lucca, Cairo, Bottazzi, Garlanda, Palamara, Barzon, Gargioli and Coccia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Cesare Gargioli, cesare.gargioli@uniroma2.it
Eliana Marina Coccia, eliana.coccia@iss.it

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