Microbial adhesion promotes Piezo1 activation to initiate innate immunity

Abstract How mammals mount an effective immune response against infectious agents remains unresolved. Here we identify microbial adhesion to myeloid cells as a critical initiating event that precedes pattern recognition receptor (PRR) engagement. Using a skin infection model with pathogenic bacteria and fungi, we demonstrate that neutrophil recruitment occurs in two sequential phases. The early phase is PRR-independent and instead driven by microbial adhesion, which engages the mechanosensitive ion channel Piezo1 to promote leukotriene (LT)B 4 production. Together with interleukin-1α, LTB 4 induces CXCL1 release, triggering neutrophil infiltration via the same circuit at play during sterile inflammation. By contrast, the late phase is toll-like receptor (TLR)- and CXCL2-dependent, marking a transition to the canonical, pathogen-driven response. Our findings uncover microbial adhesion as a previously unrecognized danger signal that activates innate immunity via mechanotransduction, revealing a paradigm of how immune responses to infection are initiated.

Authors

Institutions

Publication Details

Journal
Nature Immunology
Published
2026-09-09
DOI
https://doi.org/10.1038/s41590-026-02643-y
Primary Topic
Erythrocyte Function and Pathophysiology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Microbial adhesion promotes Piezo1 activation to initiate innate immunity

S Cozzi, M R Chelazzi, F. Granucci, I Orlandi et al.
Nature Immunology
Erythrocyte Function and Pathophysiology
article

Microbial adhesion promotes Piezo1 activation to initiate innate immunity

S Cozzi, M R Chelazzi, F. Granucci, I Orlandi, L Marongiu, M Galli, A Polissi, R Ostuni, G Stucchi, G Pietrocola, S Barresi, G Rocca, M Vai, A Lombardo, A Celant, A M Martorana, M Innocenti, F Colnaghi
article en

Abstract

Abstract How mammals mount an effective immune response against infectious agents remains unresolved. Here we identify microbial adhesion to myeloid cells as a critical initiating event that precedes pattern recognition receptor (PRR) engagement. Using a skin infection model with pathogenic bacteria and fungi, we demonstrate that neutrophil recruitment occurs in two sequential phases. The early phase is PRR-independent and instead driven by microbial adhesion, which engages the mechanosensitive ion channel Piezo1 to promote leukotriene (LT)B 4 production. Together with interleukin-1α, LTB 4 induces CXCL1 release, triggering neutrophil infiltration via the same circuit at play during sterile inflammation. By contrast, the late phase is toll-like receptor (TLR)- and CXCL2-dependent, marking a transition to the canonical, pathogen-driven response. Our findings uncover microbial adhesion as a previously unrecognized danger signal that activates innate immunity via mechanotransduction, revealing a paradigm of how immune responses to infection are initiated.

Nature Immunology
Vita-Salute San Raffaele University (IT), University of Milan (IT), University of Pavia (IT), The San Raffaele Telethon Institute for Gene Therapy (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT), University of Milano-Bicocca (IT)
Università degli Studi di Napoli Federico II, Ministero della Salute, Associazione Italiana per la Ricerca sul Cancro, Dipartimento di Scienze Biomediche Avanzate, Università degli Studi di Napoli Federico II, National Cancer Institute
Openalex Percentile: Top 27%
Erythrocyte Function and Pathophysiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.