Tri-mannose grafting of chitosan nanocarriers remodels the macrophage response to bacterial infection.


Journal

Journal of nanobiotechnology
ISSN: 1477-3155
Titre abrégé: J Nanobiotechnology
Pays: England
ID NLM: 101152208

Informations de publication

Date de publication:
25 Jan 2019
Historique:
received: 11 10 2018
accepted: 31 12 2018
entrez: 27 1 2019
pubmed: 27 1 2019
medline: 15 6 2019
Statut: epublish

Résumé

Infectious diseases are still a leading cause of death and, with the emergence of drug resistance, pose a great threat to human health. New drugs and strategies are thus urgently needed to improve treatment efficacy and limit drug-associated side effects. Nanotechnology-based drug delivery systems are promising approaches, offering hope in the fight against drug resistant bacteria. However, how nanocarriers influence the response of innate immune cells to bacterial infection is mostly unknown. Here, we used Mycobacterium tuberculosis as a model of bacterial infection to examine the impact of mannose functionalization of chitosan nanocarriers (CS-NCs) on the human macrophage response. Both ungrafted and grafted CS-NCs were similarly internalized by macrophages, via an actin cytoskeleton-dependent process. Although tri-mannose ligands did not modify the capacity of CS-NCs to escape lysosomal degradation, they profoundly remodeled the response of M. tuberculosis-infected macrophages. mRNA sequencing showed nearly 900 genes to be differentially expressed due to tri-mannose grafting. Unexpectedly, the set of modulated genes was enriched for pathways involved in cell metabolism, particularly oxidative phosphorylation and sugar metabolism. The ability to modulate cell metabolism by grafting ligands at the surface of nanoparticles may thus be a promising strategy to reprogram immune cells and improve the efficacy of encapsulated drugs.

Sections du résumé

BACKGROUND BACKGROUND
Infectious diseases are still a leading cause of death and, with the emergence of drug resistance, pose a great threat to human health. New drugs and strategies are thus urgently needed to improve treatment efficacy and limit drug-associated side effects. Nanotechnology-based drug delivery systems are promising approaches, offering hope in the fight against drug resistant bacteria. However, how nanocarriers influence the response of innate immune cells to bacterial infection is mostly unknown.
RESULTS RESULTS
Here, we used Mycobacterium tuberculosis as a model of bacterial infection to examine the impact of mannose functionalization of chitosan nanocarriers (CS-NCs) on the human macrophage response. Both ungrafted and grafted CS-NCs were similarly internalized by macrophages, via an actin cytoskeleton-dependent process. Although tri-mannose ligands did not modify the capacity of CS-NCs to escape lysosomal degradation, they profoundly remodeled the response of M. tuberculosis-infected macrophages. mRNA sequencing showed nearly 900 genes to be differentially expressed due to tri-mannose grafting. Unexpectedly, the set of modulated genes was enriched for pathways involved in cell metabolism, particularly oxidative phosphorylation and sugar metabolism.
CONCLUSIONS CONCLUSIONS
The ability to modulate cell metabolism by grafting ligands at the surface of nanoparticles may thus be a promising strategy to reprogram immune cells and improve the efficacy of encapsulated drugs.

Identifiants

pubmed: 30683129
doi: 10.1186/s12951-018-0439-x
pii: 10.1186/s12951-018-0439-x
pmc: PMC6346558
doi:

Substances chimiques

Drug Carriers 0
Chitosan 9012-76-4
Mannose PHA4727WTP

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

15

Subventions

Organisme : FP7 Health
ID : 604237

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Auteurs

Juan Manuel Coya (JM)

Mycobacterial Genetics Unit, Institut Pasteur, Paris, France.

Laura De Matteis (L)

Instituto de Nanociencia de Aragon, Universidad de Zaragoza and CIBER-BBN, Saragossa, Spain.
CIBER-BBN, Instituto de Salud Carlos III, Madrid, Spain.

Alexandre Giraud-Gatineau (A)

Mycobacterial Genetics Unit, Institut Pasteur, Paris, France.
Unit for Integrated Mycobacterial Pathogenomics, CNRS, UMR 3525, Institut Pasteur, Paris, France.
Université Paris Diderot, Sorbonne Paris Cité, Cellule Pasteur, Rue du Dr. Roux, 75015, Paris, France.

Anne Biton (A)

Institut Pasteur - Bioinformatics and Biostatistics Hub - C3BI, USR 3756 IP CNRS, Paris, France.

Inés Serrano-Sevilla (I)

CIBER-BBN, Instituto de Salud Carlos III, Madrid, Spain.
Instituto de Ciencia de Materiales de Aragón (ICMA), CSIC-Universidad de Zaragoza, and CIBER-BBN, Edificio I+D, Calle Mariano Esquillor s/n, 50018, Saragossa, Spain.

Anne Danckaert (A)

UtechS Photonic BioImaging (Imagopole)-Citech, Institut Pasteur, Paris, France.

Marie-Agnès Dillies (MA)

Institut Pasteur - Bioinformatics and Biostatistics Hub - C3BI, USR 3756 IP CNRS, Paris, France.

Brigitte Gicquel (B)

Mycobacterial Genetics Unit, Institut Pasteur, Paris, France.

Jesus M De la Fuente (JM)

Instituto de Ciencia de Materiales de Aragón (ICMA), CSIC-Universidad de Zaragoza, and CIBER-BBN, Edificio I+D, Calle Mariano Esquillor s/n, 50018, Saragossa, Spain. jmfuente@unizar.es.

Ludovic Tailleux (L)

Mycobacterial Genetics Unit, Institut Pasteur, Paris, France. ludovic.tailleux@pasteur.fr.
Unit for Integrated Mycobacterial Pathogenomics, CNRS, UMR 3525, Institut Pasteur, Paris, France. ludovic.tailleux@pasteur.fr.

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