| Literature DB >> 27273829 |
Cristiano G Moreira1, Regan Russell2, Animesh Anand Mishra2, Sanjeev Narayanan3, Jennifer M Ritchie4, Matthew K Waldor5, Meredith M Curtis2, Sebastian E Winter6, David Weinshenker7, Vanessa Sperandio8.
Abstract
UNLABELLED: Enteric pathogens such as enterohemorrhagic Escherichia coli (EHEC) and Citrobacter rodentium, which is largely used as a surrogate EHEC model for murine infections, are exposed to several host neurotransmitters in the gut. An important chemical exchange within the gut involves the neurotransmitters epinephrine and/or norepinephrine, extensively reported to increase virulence gene expression in EHEC, acting through two bacterial adrenergic sensors: QseC and QseE. However, EHEC is unable to establish itself and cause its hallmark lesions, attaching and effacing (AE) lesions, on murine enterocytes. To address the role of these neurotransmitters during enteric infection, we employed C. rodentium Both EHEC and C. rodentium harbor the locus of enterocyte effacement (LEE) that is necessary for AE lesion formation. Here we show that expression of the LEE, as well as that of other virulence genes in C. rodentium, is also activated by epinephrine and/or norepinephrine. Both QseC and QseE are required for LEE gene activation in C. rodentium, and the qseC and qseE mutants are attenuated for murine infection. C. rodentium has a decreased ability to colonize dopamine β-hydroxylase knockout (Dbh(-/-)) mice, which do not produce epinephrine and norepinephrine. Both adrenergic sensors are required for C. rodentium to sense these neurotransmitters and activate the LEE genes during infection. These data indicate that epinephrine and norepinephrine are sensed by bacterial adrenergic receptors during enteric infection to promote activation of their virulence repertoire. This is the first report of the role of these neurotransmitters during mammalian gastrointestinal (GI) infection by a noninvasive pathogen. IMPORTANCE: The epinephrine and norepinephrine neurotransmitters play important roles in gut physiology and motility. Of note, epinephrine and norepinephrine play a central role in stress responses in mammals, and stress has profound effects on GI function. Bacterial enteric pathogens exploit these neurotransmitters as signals to coordinate the regulation of their virulence genes. The bacterial QseC and QseE adrenergic sensors are at the center of this regulatory cascade. C. rodentium is a noninvasive murine pathogen with a colonization mechanism similar to that of EHEC, enabling the investigation of host signals in mice. The presence of these neurotransmitters in the gut is necessary for C. rodentium to fully activate its virulence program, in a QseC/QseE-dependent manner, to successfully colonize its murine host. Our study data provide the first example of epinephrine and norepinephrine signaling within the gut to stimulate infection by a bacterial pathogen in a natural animal infection.Entities:
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Year: 2016 PMID: 27273829 PMCID: PMC4959670 DOI: 10.1128/mBio.00826-16
Source DB: PubMed Journal: MBio Impact factor: 7.867
FIG 3 Virulence gene regulation in C. rodentium by epinephrine and norepinephrine. (A) Scheme of recognition by the QseC and QseE bacterial adrenergic receptors of their signals. QseC senses epinephrine (Epi) and norepinephrine (NE), and QseE senses Epi, NE, sulfate (SO4), and phosphate (PO4). (B) Homology comparisons among the LEE regions of EHEC, enteropathogenic E. coli (EPEC), and C. rodentium. (C) Expression of genes within the QseC regulon, the LEE, effectors, and adhesins in the absence and presence of 50 µM epinephrine or norepinephrine in DMEM (OD600 of 0.7 at 37°C).
FIG 1 EHEC infection in infant rabbits at day 2 postinfection. Data depict CFUs of EHEC in the ileum (A), cecum (B), colon (C), and stool (D). *, P < 0.05; ***, P < 0.001.
FIG 2 EHEC infection in infant rabbits at day 5 postinfection. Data depict CFUs of EHEC in the ileum (A), cecum (B), colon (C), and stool (D). **, P < 0.01; ***, P < 0.001.
FIG 4 C. rodentium murine infections in C3H/HeJ mice. (A) Survival curves of animals infected with different doses of the WT strain and the qseC mutant with an infectious dose of 109 CFU. (B) Survival curves of animals infected with different doses of the WT strain and the qseC mutant with an infectious dose of 108 CFU. (C) Survival curves of animals infected with different doses of the WT strain and the qseC mutant with an infectious dose of 105 CFU. (D) Survival curves of animals infected with the WT strain and the qseE mutant (P < 0.02). (E) Colon weights of animals infected with the WT strain and the qseE mutant; PBS is the negative control.
FIG 5 Microbiota composition of Dbh and Dbh mice infected with WT, ΔqseC, ΔqseE, and ΔqseEC C. rodentium at day 1 (A) and day 7 (B) postinfection. PBS mice were used as negative controls.
FIG 6 CFUs in stools of Dbh and Dbh mice infected with WT, ΔqseC, ΔqseE, and ΔqseEC C. rodentium on days 1 to 7. PBS mice were used as negative controls. *, P < 0.0001.
FIG 7 Expression of the LEE espA and tir genes, measured by qRT-PCR, in stools of Dbh+/− and Dbh−/− mice infected with WT, ΔqseC, ΔqseE, and ΔqseEC C. rodentium on day 7 postinfection. PBS mice were used as negative controls. *, P < 0.05; **, P < 0.0001.
Pathology scoring of large intestine
| Sample | Score | |||||
|---|---|---|---|---|---|---|
| Edema | Crypt integrity | Lymphocyte | Neutrophil | Apoptosis | Vasculitis | |
| PBS | 0 | 0 | 0 | 0 | 0 | 0 |
| WT | 2 | 2 | 3 | 1 | 4–8 | 3 |
| Δ | 0 | 0 | 1 | 0 | 0 | 0 |
| Δ | 0 | 0 | 4 | 0 | 1–2 | 1 |
| Δ | 1 | 0 | 4–6 | 1 | 1–2 | 1 |
| PBS | 0 | 0 | 4 | 0 | 0 | 0 |
| WT | 3 | 4 | 6–10 | 4 | 6–8 | 1 |
| Δ | 1.5 | 2 | 5–6 | 6 | 5 | 1 |
| Δ | 0 | 2 | 5–6 | 4 | 2 | 0 |
| Δ | 0 | 0 | 3 | 0 | 2 | 0 |
Scores for (submucosal) edema are 0 for no edema and 5 for the highest edema in the submucosa.
Scores for crypt integrity are 0 for normal crypts, 1 for irregular crypts, 2 for mild crypt loss, 3 for severe crypt loss, and 4 for complete crypt loss.
Scores for lymphocytes represent the actual numbers of lymphocytes in the lamina propria (between adjacent crypts).
Scores for neutrophilic infiltration in the wall (mainly perivascular in the submucosa but also seen occasionally in the lamina propria and the lumen) are 0 for no infiltration and 6 for the highest infiltration.
Scores for apoptosis represent the number of apoptotic cells per ×600 field (five fields were counted). Numbers of apoptotic cells occasionally differed in areas of greater severity versus lesser severity; those instances are represented by two numbers.
Scores for vasculitis are 0 for no evidence of vasculitis and 5 for the most severe vasculitis (i.e., loss of vessel wall architecture due to infiltration on leukocytes, presence of nuclear debris, and exudation of eosinophilic proteinaceous material; this is called leukocytoclastic vasculitis/fibrinoid necrosis in pathology literature). All of these changes are statistically significant (P < 0.05).