Host Response to Porcine Strains of Escherichia coli in a Novel Pyelonephritis Model

2011 ◽  
Vol 144 (4) ◽  
pp. 257-268 ◽  
Author(s):  
L.K. Isling ◽  
B. Aalbæk ◽  
M.M. Birck ◽  
P.M.H. Heegaard ◽  
P.S. Leifsson
2016 ◽  
Vol 85 (1) ◽  
Author(s):  
Xinzheng Jia ◽  
Qinghua Nie ◽  
Xiquan Zhang ◽  
Lisa K. Nolan ◽  
Susan J. Lamont

ABSTRACT Avian pathogenic Escherichia coli (APEC) causes one of the most common bacterial diseases of poultry worldwide. Effective control methods are therefore desirable and will be facilitated by a better understanding of the host response to the pathogen. Currently, microRNAs (miRNAs) involved in host resistance to APEC are unknown. Here, we applied RNA sequencing to explore the changed miRNAs and deregulated genes in the spleen of three groups of broilers: nonchallenged (NC), APEC-challenged with mild pathology (CM), and APEC-challenged with severe pathology (CS). Twenty-seven differentially expressed miRNAs (fold change >1.5; P value <0.01) were identified, including 13 miRNAs between the NC and CM, 17 between the NC and CS, and 14 between the CM and CS groups. Through functional analysis of these miRNA targets, 12 immune-related biological processes were found to be significantly enriched. Based on combined analyses of differentially expressed miRNAs and mRNAs within each of the three groups, 43 miRNA-mRNA pairs displayed significantly negative correlations (r < −0.8). Notably, gga-miR-429 was greatly increased in the CS group compared to levels in both the CM and NC groups. In vitro, gga-miR-429 directly repressed luciferase reporter gene activity via binding to 3′ untranslated regions of TMEFF2, NTRK2, and SHISA2. Overexpression of gga-miR-429 in the HD11 macrophage cell line significantly inhibited TMEFF2 and SHISA2 expression, which are involved in the lipopolysaccharide-induced platelet-derived growth factor (PDGF) and Wnt signaling pathways. In summary, we provide the first report characterizing the miRNA changes during APEC infection, which may help to shed light on the roles of these recently identified genetic elements in the mechanisms of host resistance and susceptibility to APEC.


2020 ◽  
Author(s):  
Alyson R. Warr ◽  
Carole J. Kuehl ◽  
Matthew K. Waldor

AbstractEnterohemorrhagic Escherichia coli (EHEC) is a food-borne pathogen that causes diarrheal disease and the potentially lethal hemolytic uremic syndrome. We used an infant rabbit model of EHEC infection that recapitulates many aspects of human intestinal disease to comprehensively assess colonic transcriptional responses to this pathogen. Cellular compartment-specific RNA-sequencing of intestinal tissue from animals infected with EHEC strains containing or lacking Shiga toxins (Stx) revealed that EHEC infection elicits a robust response that is dramatically shaped by Stx, particularly in epithelial cells. Many of the differences in the transcriptional responses elicited by these strains were in genes involved in immune signaling pathways, such as IL23A, and coagulation, including F3, the gene encoding Tissue Factor. RNA FISH confirmed that these elevated transcripts were found almost exclusively in epithelial cells. Collectively, these findings suggest that within the intestine, Stx primarily targets epithelial cells, and that the potent Stx-mediated modulation of innate immune signaling skews the host response to EHEC towards type 3 immunity.Significance StatementEnterohemorrhagic Escherichia coli (EHEC) is a potentially lethal foodborne pathogen. During infection, EHEC releases a potent toxin, Shiga toxin (Stx), into the intestine, but there is limited knowledge of how this toxin shapes the host response to infection. We used an infant rabbit model of infection that closely mimics human disease to profile intestinal transcriptomic responses to EHEC infection. Comparisons of the transcriptional responses to infection by strains containing or lacking Stx revealed that this toxin markedly remodels how the epithelial cell compartment responds to infection. Our findings suggest that Stx biases the intestinal innate immune response to EHEC and provide insight into the complex host-pathogen dialogue that underlies disease.


2000 ◽  
Vol 68 (6) ◽  
pp. 3121-3128 ◽  
Author(s):  
Rodolfo C. Garcia ◽  
Elena Banfi ◽  
Maria G. Pittis

ABSTRACT This study of the phosphorylation ability of macrophage-like cells upon infection with Mycobacterium avium was undertaken to establish potential targets of the interference with host response mechanisms. Cytosolic and membrane fractions from noninfected and infected cells were incubated with [γ-32P]ATP, in the presence of Mg2+ and the absence of Ca2+, and the patterns of phosphoproteins synthesized were analyzed by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. Lower levels of a 110-kDa phosphoprotein were observed in association with cytosolic fractions from mycobacterium-infected cells compared to noninfected cells or cells treated with lipopolysaccharide or having ingestedEscherichia coli or killed M. avium. The 110-kDa phosphoprotein was present in the soluble fraction (230,000 ×g supernatant) after the kinase incubation, from where it was partially purified and identified as phosphonucleolin by amino acid sequencing. The decrease in nucleolin phosphorylation observed was not related to changes in the cytosolic or membrane levels of this protein, and was detected also in the cytosolic fraction of32P-labeled intact cells.


mSystems ◽  
2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Bradley W. Wright ◽  
Dominic Y. Logel ◽  
Mehdi Mirzai ◽  
Dana Pascovici ◽  
Mark P. Molloy ◽  
...  

ABSTRACT Measuring host-bacteriophage dynamics is an important approach to understanding bacterial survival functions and responses to infection. The model Microviridae bacteriophage φX174 is endemic to the human gut and has been studied for over 70 years, but the host response to infection has never been investigated in detail. To address this gap in our understanding of this important interaction within our microbiome, we have measured host Escherichia coli C proteomic and transcriptomic response to φX174 infection. We used mass spectrometry and RNA sequencing (RNA-seq) to identify and quantify all 11 φX174 proteins and over 1,700 E. coli proteins, enabling us to comprehensively map host pathways involved in φX174 infection. Most notably, we see significant host responses centered on membrane damage and remodeling, cellular chaperone and translocon activity, and lipoprotein processing, which we speculate is due to the peptidoglycan-disruptive effects of the φX174 lysis protein E on MraY activity. We also observe the massive upregulation of small heat shock proteins IbpA/B, along with other heat shock pathway chaperones, and speculate on how the specific characteristics of holdase protein activity may be beneficial for viral infections. Together, this study enables us to begin to understand the proteomic and transcriptomic host responses of E. coli to Microviridae infections and contributes insights to the activities of this important model host-phage interaction. IMPORTANCE A major part of the healthy human gut microbiome is the Microviridae bacteriophage, exemplified by the model φX174 phage, and their E. coli hosts. Although much has been learned from studying φX174 over the last half-century, until this work, the E. coli host response to infection has never been investigated in detail. We reveal the proteomic and transcriptomic pathways differentially regulated during the φX174 infection cycle and uncover the details of a coordinated cellular response to membrane damage that results in increased lipoprotein processing and membrane trafficking, likely due to the phage antibiotic-like lysis protein. We also reveal that small heat shock proteins IbpA/B are massively upregulated during infection and that these holdase chaperones are highly conserved across the domains of life, indicating that reliance on them is likely widespread across viruses.


2017 ◽  
Vol 83 (17) ◽  
Author(s):  
Tingting Ju ◽  
Yasmeen Shoblak ◽  
Yanhua Gao ◽  
Kaiyuan Yang ◽  
Janelle Fouhse ◽  
...  

ABSTRACT Antibiotics are important for treating bacterial infection; however, efficacies and side effects of antibiotics vary in medicine and experimental models. A few studies have correlated microbiota composition variations with health outcomes in response to antibiotics; however, no study has demonstrated causality. We had noted variation in colonic expression of C-type lectins, regenerating islet-derived protein 3β (Reg3β) and Reg3γ, after metronidazole treatment in a mouse model. To investigate the effects of specific variations in the preexisting microbiome on host response to antibiotics, mice harboring a normal microbiota were allocated to 4 treatments in a 2-by-2 factorial arrangement with or without commensal Escherichia coli and with or without metronidazole in drinking water. E. coli colonized readily without causing a notable shift in the microbiota or host response. Metronidazole administration reduced microbiota biodiversity, indicated by decreased Chao1 and Shannon index values, and altered microbiota composition. However, the presence of E. coli strongly affected metronidazole-induced microbiota shifts. Remarkably, this single commensal bacterium in the context of a complex population led to variations in host responses to metronidazole treatment, including increased expression of antimicrobial peptides Reg3β and Reg3γ and intestinal inflammation indicated by tumor necrosis factor alpha levels. Similar results were obtained from 2-week antibiotic exposure and with additional E. coli isolates. The results of this proof-of-concept study indicate that even minor variations in initial commensal microbiota can drive shifts in microbial composition and host response after antibiotic administration. As well as providing an explanation for variability in animal models using antibiotics, the findings encourage the development of personalized medication in antibiotic therapies. IMPORTANCE This work provides an understanding of variability in studies where antibiotics are used to alter the gut microbiota to generate a host response. Furthermore, although providing evidence only for the one antibiotic, the study demonstrated that initial gut microbial composition is a key factor driving host response to antibiotic administration, creating a compelling argument for considering personalized medication based on individual variations in gut microbiota.


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