Poly(I:C)-Induced Protection of Neonatal Mice Against Intestinal Cryptosporidium parvum Infection Requires an Additional TLR5 Signal Provided by the Gut Flora
MAJOR ARTICLE
Poly(I:C)-Induced Protection of Neonatal Mice
Against Intestinal Cryptosporidium parvum
Infection Requires an Additional TLR5 Signal
Provided by the Gut Flora
Louis Lantier,1,2 Françoise Drouet,1,2 William Guesdon,1,2 Roselyne Mancassola,1,2 Coralie Metton,1,2 Richard Lo-Man,3
Catherine Werts,4 Fabrice Laurent,1,2,a and Sonia Lacroix-Lamandé1,2,a
1
INRA Val de Loire, UMR1282 Infectiologie et Santé Publique, Nouzilly; 2Université François Rabelais, UMR1282 Infectiologie et Santé Publique, Tours;
Institut Pasteur, Unité de Régulation Immunitaire et Vaccinologie, Paris; and 4Institut Pasteur, Unité de Biologie et Génétique de la Paroi Bactérienne,
Paris, France
3
Keywords.
poly(I:C); TLR3; neonatal mice; Cryptosporidium parvum; intestine; microbiota; dendritic cells.
At the time of birth, the immune system of neonates is
still undergoing development. The neonatal immune
response has been shown to be quantitatively and qualitatively distinct from that of adults, rendering neonates
more susceptible to infections [1, 2]. Lacking a fully developed adaptive immune system, newborns must rely
on innate immune responses and maternally transmitted immunity for early protection against pathogens
[3]. The development of effective strategies to protect
against neonatal diseases is challenging.
After delivery, the intestine of neonates is rapidly
colonized with a vast diversity of microbes. Bacterial
Received 25 February 2013; accepted 17 July 2013; electronically published 6
September 2013.
a
F. L. and S. L.-L. contributed equally to this study.
Correspondence: Sonia Lacroix-Lamandé, PhD, Laboratoire Contrôle et Immunologie des Maladies Entériques du Nouveau-né, UMR1282 Infectiologie et Santé
Publique, INRA Val de Loire, 37380 Nouzilly, France ().
The Journal of Infectious Diseases 2014;209:457–67
© The Author 2013. Published by Oxford University Press on behalf of the Infectious
Diseases Society of America. All rights reserved. For Permissions, please e-mail:
.
DOI: 10.1093/infdis/jit432
recognition of the intestinal microbial flora by pathogen recognition receptor has been shown to contribute
to developmental programming of epithelial barrier
function and gut homeostasis, as well as the innate and
adaptive host immune function [4]. In the gut mucosa,
commensal-related bacteria are constantly in contact
with epithelial cells and mononuclear phagocytes that
extend dendrites across the epithelial barrier [5]. Moreover, the loss of gut epithelium integrity when mice are
infected or after chemical exposure favors interaction
between bacteria and lamina propria resident dendritic
cells (DCs).
Cryptosporidiosis is a zoonotic disease caused by the
protozoan Cryptosporidium parvum. This intracellular
parasite infects intestinal epithelial cells and causes
debilitating diarrhea [6]. The severity of the disease is
related to the immune status of its host, with young
and immunocompromised individuals being the
primary targets of this infection. In the neonatal mouse
model of infection, cytokines such as interleukin 12
(IL-12) and interferon (IFN) γ have been shown to
be involved in controlling the infection within 2–3
Poly(I:C) for Neonatal Gut Defense • JID 2014:209 (1 February) • 457
The neonatal intestinal immune system is still undergoing development at birth, leading to a higher susceptibility to mucosal infections. In this study, we investigated the effect of poly(I:C) on controlling enteric infection
by the protozoan Cryptosporidium parvum in neonatal mice. After poly(I:C) administration, a rapid reduction
in parasite burden was observed and proved to be dependent on CD11c+ cells and TLR3/TRIF signaling.
Protection against C. parvum required additional signals provided by the gut flora through TLR5 and MyD88
signaling. This cooperation gave rise to higher levels of expression of critical mutually dependent cytokines
such as interleukin 12p40 and type 1 and type 2 interferons, the last 2 being known to play a key role in the
elimination of infected enterocytes. Our findings demonstrate in neonatal mice how gut flora synergizes with
poly(I:C) to elicit protective intestinal immunity against an intracellular pathogen.
METHODS
Mouse Models
IFN-γ−/−, IL-12p40−/−, Toll-like receptor (TLR) 2/4−/−, Nod1/
2−/−, IFN-αR−/−, MyD88−/−, TLR5−/−, Lps2−/− (TRIF),
TLR9−/−, and CD11c-DTR mice, all with a C57BL/6 genetic
background, were raised and maintained in animal facilities of
the Plateforme d’Infectiologie Expérimentale (INRA-Tours) or
Institut Pasteur in accordance with European guidelines.
Parasite Preparation and Mouse Infections
Oocysts of the C. parvum CpINRA isolate were initially purified
from the feces of an infected child and were maintained by
regular passages in newborn calves. Purification of C. parvum
oocysts was performed as previously described [7]. Threeday-old neonatal mice were infected orally with 5 × 105
C. parvum oocysts. The level of infection in individual neonatal
mice was assessed by counting the number of oocysts in the
intestinal content, as previously described [13].
Collection of Mesenteric Lymph Node Cells, Flow Cytometry,
and Cell Sorting
After dissociation, cells of mesenteric lymph nodes (MLNs) were
first incubated with anti-CD16/CD32 antibody and then with
the antibodies against cell surface molecules for 30 minutes. All
antibodies were purchased from BD Pharmingen: APC-antiCD11, PE-anti-CD40, PE-anti-CD86, PE-anti-CD103, APCH7-anti-CD8α and FITC-anti-I-A/I-E antibodies. Cells were
analyzed on a Becton-Dickinson fluorescence-activated cell
sorter with FSC Express3 software. To isolate CD103+ CD8α+
CD11c+ and CD103+ CD8α− CD11c+ subsets from the MLNs,
pools were constituted from 10–40 infected neonatal mice. Cells
were first gated for CD11c+ MHCII+ and further analyzed for
CD8α expression among the CD103+ population. Sorting was
performed on a MoFlo highspeed cell sorter.
Analysis of mRNA Levels by Reverse-Transcription Polymerase
Chain Reaction (RT-PCR) Array and Quantitative RT-PCR
RNA was extracted from purified cells and tissue using Picopure RNA isolation kit and TRIZOL solution, respectively.
Gene expression for inflammatory cytokines, chemokines, and
their receptors was measured by real-time RT-PCR using commercially available reagents (RT2 profiler system), according to
the manufacturer’s protocol. Raw data were acquired and processed with the Chromo4 software to calculate the threshold
cycle (Ct) value and relative gene expression values, subsequently determined according to the standard ΔΔCt method.
For quantitative RT-PCR, samples were normalized internally
using the average cycle quantification (Cq) of the 3 most suitable reference genes—hypoxanthine phosphoribosyltransferase
(HPRT), TATAA-box binding protein (TBP), and peptidylprolyl
isomerase A (PPia)—selected using geNorm application among
5 commonly used genes. Primers used for mRNA quantification
were described in Supplementary Table 1. Expression data are
expressed as relative va (...truncated)