François Meurens

Prof. François Meurens

Oniris - INRAE
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 January 2012 in Trends in Microbiology
Verified
Journal Article
Closed access
François MeurensFrançois Meurens
François Meurens
Artur SummerfieldArtur Summerfield
Artur Summerfield
HNHans Nauwynck
Hans Nauwynck
LSLinda Saif
Linda Saif
VGVolker Gerdts
Volker Gerdts

1 July 2015 in Molecular Immunology
Verified
Journal Article
Open access
Artur SummerfieldArtur Summerfield
Artur Summerfield
François MeurensFrançois Meurens
François Meurens
MRMeret E. Ricklin
Meret E. Ricklin
The porcine skin has striking similarities to the human skin in terms of general structure, thickness, hair follicle content, pigmentation, collagen and lipid composition. This has been the basis for numerous studies using the pig as a model for wound healing, transdermal delivery, dermal toxicology, radiation and UVB effects. Considering that the skin also represents an immune organ of utmost importance for health, immune cells present in the skin of the pig will be reviewed. The focus of this review is on dendritic cells, which play a central role in the skin immune system as they serve as sentinels in the skin, which offers a large surface area exposed to the environment. Based on a literature review and original data we propose a classification of porcine dendritic cell subsets in the skin corresponding to the subsets described in the human skin. The equivalent of the human CD141(+) DC subset is CD1a(-)CD4(-)CD172a(-)CADM1(high), that of the CD1c(+) subset is CD1a(+)CD4(-)CD172a(+)CADM1(+/low), and porcine plasmacytoid dendritic cells are CD1a(-)CD4(+)CD172a(+)CADM1(-). CD209 and CD14 could represent markers of inflammatory monocyte-derived cells, either dendritic cells or macrophages. Future studies for example using transriptomic analysis of sorted populations are required to confirm the identity of these cells.

1 August 2014 in Developmental & Comparative Immunology
Verified
Journal Article
Closed access
KMK.H. Mair
K.H. Mair
CSC. Sedlak
C. Sedlak
TKT. Käser
T. Käser
APAlex Pasternak
Alex Pasternak
BLB. Levast
B. Levast
François MeurensFrançois Meurens
François Meurens

1 March 2009 in Developmental & Comparative Immunology
Verified
Journal Article
Closed access
HSHenri Salmon
Henri Salmon
MBMustapha Berri
Mustapha Berri
VGVolker Gerdts
Volker Gerdts
François MeurensFrançois Meurens
François Meurens

16 June 2020 in Veterinary Research
Verified
Journal Article
Open access
PDF file
Georges SAADEGeorges SAADE
Georges SAADE
CDCéline Deblanc
Céline Deblanc
JBJuliette Bougon
Juliette Bougon
CMCorinne Marois-Créhan
Corinne Marois-Créhan
CFChristelle Fablet
Christelle Fablet
François MeurensFrançois Meurens
François Meurens
Understudied, coinfections are more frequent in pig farms than single infections. In pigs, the term “Porcine Respiratory Disease Complex” (PRDC) is often used to describe coinfections involving viruses such as swine Influenza A Virus (swIAV), Porcine Reproductive and Respiratory Syndrome Virus (PRRSV), and Porcine CircoVirus type 2 (PCV2) as well as bacteria likeActinobacillus pleuropneumoniae,Mycoplasma hyopneumoniaeandBordetella bronchiseptica. The clinical outcome of the various coinfection or superinfection situations is usually assessed in the studies while in most of cases there is no clear elucidation of the fine mechanisms shaping the complex interactions occurring between microorganisms. In this comprehensive review, we aimed at identifying the studies dealing with coinfections or superinfections in the pig respiratory tract and at presenting the interactions between pathogens and, when possible, the mechanisms controlling them. Coinfections and superinfections involving viruses and bacteria were considered while research articles including protozoan and fungi were excluded. We discuss the main limitations complicating the interpretation of coinfection/superinfection studies, and the high potential perspectives in this fascinating research field, which is expecting to gain more and more interest in the next years for the obvious benefit of animal health.

19 May 2015 in ILAR Journal
Verified
Journal Article
Open access
PDF file
VGVolker Gerdts
Volker Gerdts
HWHeather L. Wilson
Heather L. Wilson
François MeurensFrançois Meurens
François Meurens
SHSylvia van Drunen Littel - van Den Hurk
Sylvia van Drunen Littel - van Den Hurk
DWDon Wilson
Don Wilson
APAndrew A. Potter
Andrew A. Potter
The development of human vaccines continues to rely on the use of animals for research. Regulatory authorities require novel vaccine candidates to undergo preclinical assessment in animal models before being permitted to enter the clinical phase in human subjects. Substantial progress has been made in recent years in reducing and replacing the number of animals used for preclinical vaccine research through the use of bioinformatics and computational biology to design new vaccine candidates. However, the ultimate goal of a new vaccine is to instruct the immune system to elicit an effective immune response against the pathogen of interest, and no alternatives to live animal use currently exist for evaluation of this response. Studies identifying the mechanisms of immune protection; determining the optimal route and formulation of vaccines; establishing the duration and onset of immunity, as well as the safety and efficacy of new vaccines, must be performed in a living system. Importantly, no single animal model provides all the information required for advancing a new vaccine through the preclinical stage, and research over the last two decades has highlighted that large animals more accurately predict vaccine outcome in humans than do other models. Here we review the advantages and disadvantages of large animal models for human vaccine development and demonstrate that much of the success in bringing a new vaccine to market depends on choosing the most appropriate animal model for preclinical testing.