Investigation of metabolic crosstalk between host and pathogenic Clostridioides difficile via multiomics approaches

Clostridioides difficile is a gram-positive anaerobic bacterium that causes antibiotic-associated infections in the gut. C. difficile infection develops in the intestine of a host with an imbalance of the intestinal microbiota and, in severe cases, can lead to toxic megacolon, intestinal perforation, and even death. Despite its severity and importance, however, the lack of a model to understand host-pathogen interactions and the lack of research results on host cell effects and response mechanisms under C. difficile infection remain limited. Here, we developed an in vitro anaerobic-aerobic C. difficile infection model that enables direct interaction between human gut epithelial cells and C. difficile through the Mimetic Intestinal Host–Microbe Interaction Coculture System. Additionally, an integrative multiomics approach was applied to investigate the biological changes and response mechanisms of host cells caused by C. difficile in the early stage of infection. The C. difficile infection model was validated through the induction of disaggregation of the actin filaments and disruption of the intestinal epithelial barrier as the toxin-mediated phenotypes following infection progression. In addition, an upregulation of stress-induced chaperones and an increase in the ubiquitin proteasomal pathway were identified in response to protein stress that occurred in the early stage of infection, and downregulation of proteins contained in the electron transfer chain and ATP synthase was observed. It has been demonstrated that host cell energy metabolism is inhibited through the glycolysis of Caco-2 cells and the reduction of metabolites belonging to the TCA cycle. Taken together, our C. difficile infection model suggests a new biological response pathway in the host cell induced by C. difficile during the early stage of infection at the molecular level under anaerobic-aerobic conditions. Therefore, this study has the potential to be applied to the development of future therapeutics through basic metabolic studies of C. difficile infection.

Metabolic Labeling of Clostridioides difficile Proteins

The introduction of stable isotopes in vivo via metabolic labeling approaches (SILAC or ¹⁵N-labeling) allows, after combination of differentially treated labeled and unlabeled cells or protein extracts, for correction of protein quantification errors implemented during elaborated sample preparation workflows. The SILAC-based approach uses heavy arginine and lysine to incorporate the label into bacterial strains and cell lines, whereas ¹⁵N-metabolic labeling is achieved by cultivation in ¹⁵N-salt containing media. In case of Clostridioides difficile, the lack in arginine and lysine auxotrophy as well as the Stickland dominated metabolism makes metabolic labeling challenging. Here, a step-by-step guideline for the metabolic labeling of C. difficile is described, which combines cultivation in liquid ¹⁵N-substituted medium followed by cultivation steps on solid ¹⁵N-substituted medium. The described procedure results in a label incorporation rate higher than 97%. Cells prepared by the following method can be used as standard for relative quantification approaches of, e.g., the membrane or surface proteome of C. difficile.

Foodborne pathogens in the omics era

Outbreaks and deaths related to Foodborne Diseases (FBD) occur constantly in the world, as a result of the consumption of contaminated foodstuffs with pathogens such as Listeria monocytogenes, Escherichia coli, Staphylococcus aureus, Salmonella spp, Clostridium spp. and Campylobacter spp. The purpose of this review is to discuss the main omic techniques applied in foodborne pathogen and to demonstrate their functionalities through the food chain and to guarantee the food safety. The main techniques presented are genomic, transcriptomic, secretomic, proteomic, and metabolomic, which together, in the field of food and nutrition, are known as "Foodomics." This review had highlighted the potential of omics to integrate variables that contribute to food safety and to enable us to understand their application on foodborne diseases. The appropriate use of these techniques had driven the definition of critical parameters to achieve successful results in the improvement of consumers health, costs and to obtain safe and high-quality products.

Notch3 promotes 3T3-L1 pre-adipocytes differentiation by up-regulating the expression of LARS to activate the mTOR pathway

Adipocytes constitute a major component of the tumour microenvironment. Numerous studies have shown that adipocytes promote aggressiveness and invasion by stimulating cancer cells proliferation and modulating their metabolism. Herein, we reported that Notch3 promotes mouse 3T3‐L1 pre‐adipocytes differentiation by performing the integrative transcriptome and TMT‐based proteomic analyses. The results revealed that aminoacyl‐tRNA_biosynthesis pathway was significantly influenced with Nocth3 change during 3T3‐L1 pre‐adipocytes differentiation, and the expression of LARS in this pathway was positively correlated with Notch3. Published studies have shown that LARS is a sensor of leucine that regulates the mTOR pathway activity, and the latter involves in adipogenesis. We therefore supposed that Notch3 might promote 3T3‐L1 pre‐adipocytes differentiation by up‐regulating LARS expression and activating mTOR pathway. CHIP and luciferase activity assay uncovered that Notch3 could transcriptionally regulate the expression of LARS gene. Oil Red staining identified a positive correlation between Notch3 expression and adipocytic differentiation. The activation of mTOR pathway caused by Notch3 overexpression could be attenuated by knocking down LARS expression. Altogether, our study revealed that Notch3 promotes adipocytic differentiation of 3T3‐L1 pre‐adipocytes cells by up‐regulating LARS expression and activating the mTOR pathway, which might be an emerging target for obesity treatment.

Vegetative Cell and Spore Proteomes of Clostridioides difficile Show Finite Differences and Reveal Potential Protein Markers

Clostridioides difficile-associated infection (CDI) is a health-care-associated infection caused, as the name suggests, by obligate anaerobic pathogen C. difficile and thus mainly transmitted via highly resistant endospores from one person to the other. In vivo, the spores need to germinate into cells prior to establishing an infection. Bile acids and glycine, both available in sufficient amounts inside the human host intestinal tract, serve as efficient germinants for the spores. It is therefore, for better understanding of C. difficile virulence, crucial to study both the cell and spore states with respect to their genetic, metabolic, and proteomic composition. In the present study, mass spectrometric relative protein quantification, based on the 14N/15N peptide isotopic ratios, has led to quantification of over 700 proteins from combined spore and cell samples. The analysis has revealed that the proteome turnover between a vegetative cell and a spore for this organism is moderate. Additionally, specific cell and spore surface proteins, vegetative cell proteins CD1228, CD3301 and spore proteins CD2487, CD2434, and CD0684 are identified as potential protein markers for C. difficile infection.

Integrative transcriptomics, proteomics, and metabolomics data analysis exploring the injury mechanism of ricin on human lung epithelial cells

Ricin (RT) is a plant toxin belonging to the family of type II ribosome-inactivating protein with high bioterrorism potential. Aerosol RT exposure is the most lethal route, but its mechanism of injury needs further investigation. In the present study, we performed a comprehensive transcriptomics, proteomics and metabolomics analysis on the potential mechanism of injury caused by RT on human lung epithelial cells. In total, 5872 genes, 187 proteins, and 143 metabolites were shown to be significantly changed in human lung epithelial cells after RT treatment. Molecular function, pathway, and network analyses, the genes and proteins regulated in RT-treated cells were mainly attributed to fatty acid metabolism, arginine and proline metabolism and ubiquitin-mediated proteolysis pathway. Furthermore, a comprehensive analysis of transcripts, proteins, and metabolites was performed. The results revealed the correlated genes, proteins, and metabolic pathways regulated in metabolic pathways, amino acid metabolism, transcription and energy metabolism. These genes, proteins, and metabolites involved in these dis-regulated pathways may provide a more targeted and credible direction to study the mechanism of RT injury on human lung epithelial cells. This study provides large-scale omics data that can be used to develop a new strategy for the prevention, rapid diagnosis, and treatment of RT poisoning, especially of RT aerosol.

A Metabolic Labeling Strategy for Relative Protein Quantification in Clostridioides difficile

Clostridioides difficile (formerly Clostridium difficile) is a Gram-positive, anaerobe, spore-forming pathogen, which causes drug-induced diseases in hospitals worldwide. A detailed analysis of the proteome may provide new targets for drug development or therapeutic strategies to combat this pathogen. The application of metabolic labeling (ML) would allow for accurate quantification of significant differences in protein abundance, even in the case of very small changes. Additionally, it would be possible to perform more accurate studies of the membrane or surface proteomes, which usually require elaborated sample preparation. Such studies are therefore prone to higher standard deviations during the quantification. The implementation of ML strategies for C. difficile is complicated due to the lack in arginine and lysine auxotrophy as well as the Stickland dominated metabolism of this anaerobic pathogen. Hence, quantitative proteome analyses could only be carried out by label free or chemical labeling methods so far. In this paper, a ML approach for C. difficile is described. A cultivation procedure with 15N-labeled media for strain 630Δerm was established achieving an incorporation rate higher than 97%. In a proof-of-principle experiment, the performance of the ML approach in C. difficile was tested. The proteome data of the cytosolic subproteome of C. difficile cells grown in complex medium as well as two minimal media in the late exponential and early stationary growth phase obtained via ML were compared with two label free relative quantification approaches (NSAF and LFQ). The numbers of identified proteins were comparable within the three approaches, whereas the number of quantified proteins were between 1,110 (ML) and 1,861 (LFQ) proteins. A hierarchical clustering showed clearly separated clusters for the different conditions and a small tree height with ML approach. Furthermore, it was shown that the quantification based on ML revealed significant altered proteins with small fold changes compared to the label free approaches. The quantification based on ML was accurate, reproducible, and even more sensitive compared to label free quantification strategies.

Analysis of proteomes released from in vitro cultured eight Clostridium difficile PCR ribotypes revealed specific expression in PCR ribotypes 027 and 176 confirming their genetic relatedness and clinical importance at the proteomic level

Background

Clostridium difficile is the causative agent of C. difficile infection (CDI) that could be manifested by diarrhea, pseudomembranous colitis or life-threatening toxic megacolon. The spread of certain strains represents a significant economic burden for health-care. The epidemic successful strains are also associated with severe clinical features of CDI. Therefore, a proteomic study has been conducted that comprises proteomes released from in vitro cultured panel of eight different PCR ribotypes (RTs) and employs the combination of shotgun proteomics and label-free quantification (LFQ) approach.

Results

The comparative semi-quantitative analyses enabled investigation of a total of 662 proteins. Both hierarchical clustering and principal component analysis (PCA) created eight distinctive groups. From these quantifiable proteins, 27 were significantly increased in functional annotations. Among them, several known factors connected with virulence were identified, such as toxin A, B, binary toxin, flagellar proteins, and proteins associated with Pro–Pro endopeptidase (PPEP-1) functional complex. Comparative analysis of protein expression showed a higher expression or unique expression of proteins linked to pathogenicity or iron metabolism in RTs 027 and 176 supporting their genetic relatedness and clinical importance at the proteomic level. Moreover, the absence of putative nitroreductase and the abundance of the Abc-type fe3+ transport system protein were observed as biomarkers for the RTs possessing binary toxin genes (027, 176 and 078). Higher expression of selected flagellar proteins clearly distinguished RTs 027, 176, 005 and 012, confirming the pathogenic role of the assembly in CDI. Finally, the histidine synthesis pathway regulating protein complex HisG/HisZ was observed only in isolates possessing the genes for toxin A and B.

Conclusions

This study showed the applicability of the LFQ approach and provided the first semi-quantitative insight into the proteomes released from in vitro cultured panel of eight RTs. The observed differences pointed to a new direction for studies focused on the elucidation of the mechanisms underlining the CDI nature.

Electronic supplementary material

The online version of this article (doi:10.1186/s13099-017-0194-9) contains supplementary material, which is available to authorized users.

The protein inventory of Clostridium difficile grown in complex and minimal medium

The intestinal pathogen Clostridium difficile is causing an increasing number of infections often characterized by severity and high relapse rates. Profound knowledge of the physiology of the pathogen could help to develop new treatment strategies. Proteomics, a valuable tool to study bacterial physiology, was used in this work to establish a benchmark proteome of reference strain C. difficile 630Δerm with MS-based details on all identified proteins. Our elaborate annotation and visualization of C. difficile 630Δerm 3764 ORFs will serve as a valuable base for researchers having to evaluate global expression studies. To exemplify expression variability, protein expression of late exponentially growing cells in complex brain-heart infusion medium and C. difficile minimal medium was compared. Noteworthy results of this comparison are as follows: (i) the higher expression of enzymes for the biosynthesis of some vitamins and purine and (ii) downregulation of proteins involved in butanoate fermentation in C. difficile minimal medium. However, the abundance of proteins involved in DNA metabolism, protein synthesis, and the cell envelope showed no variation between the two growth media.