Dataset Information

Identifying fecal host biomarkers for the presence and severity of Clostridioides difficile infection using top-down proteomics

ABSTRACT: Clostridioides difficile is a major cause of healthcare-associated diarrhea in adult patients. Laboratory diagnosis of C. difficile infection (CDI) is challenging as there is no single test combining high sensitivity and specificity, rapid turnaround time and cost efficiency. They also offer no or little correlation with the clinical outcome. Recently, host-based methods have shown satisfactory performance for the diagnosis of infectious diseases. The aim of this study was to discover CDI-specific host biomarkers that correlate with disease stage and severity.

INSTRUMENT(S): maXis

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Feces

DISEASE(S): Clostridium Difficile Colitis

SUBMITTER: Momar Ndao

LAB HEAD: Momar Ndao

PROVIDER: PXD020117 | Pride | 2021-09-09

REPOSITORIES: Pride

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Publications

Fecal host biomarkers predicting severity of Clostridioides difficile infection.

Golizeh Makan M Winter Kaitlin K Roussel Lucie L Landekic Marija M Langelier Mélanie M Loo Vivian G VG Ndao Momar M Vinh Donald C DC

JCI insight 20210111 1

Clostridioides difficile is a major cause of health care-associated diarrhea. Severity ranges from mild to life-threatening, but this variability remains poorly understood. Microbiologic diagnosis of C. difficile infection (CDI) is straightforward but offers little insight into the patient's prognosis or into pathophysiologic determinants of clinical trajectory. The aim of this study was to discover host-derived, CDI-specific fecal biomarkers involved in disease severity. Subjects without and wi ...[more]

PMID: 33232301

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Project description:Clostridium difficile is an anaerobic spore-forming rod-shaped gram-positive bacterium that can infect both humans and animals. Most studies on the pathogenesis of C. difficile have focused on its toxins and their effect on the host cells. Recently, we utilized microarrays to identify conserved and divergent genes associated with virulence in C. difficile isolates from humans and animals. Our data provided the first clue toward a complex mechanism underlying host adaptation and pathogenesis. Microarray technology offers an efficient high-throughput tool to study the transcriptional profiles of pathogens and infected host cells. Transcriptomes of C. difficile after exposure to environmental and antibiotic stresses and those of human epithelial colorectal Caco-2 cells upon TcdA treatment have been analyzed. To our knowledge, there are still no reports on the transcriptomic study of host-pathogen interactions for C. difficile infection (CDI). In vitro analyses of interplay between host and pathogen are essential to unravel the mechanisms of infection and to investigate the host response to infection. We therefore employed microarrays to study both bacterial and human cellular transcriptome kinetics during CDI to Caco-2 cells. Here we present a large-scale analysis of transcriptional profiles to reveal molecular determinants playing a role in C. difficile pathogenesis and the host response. We found that there were 254 and 224 differentially-expressed genes after CDI in C. difficile and Caco-2 cells, respectively. These genes are clustered according to their functional categories and their potential roles in pathogenesis and host response are discussed. Our results will not only increase our understanding on the host-pathogen interaction, but may also provide targets for drug development. Clostridium difficile: Control vs Infection (time course) mRNA with genomic DNA of tested and reference strains Caco-2 cells: Control vs Infected with Clostridium difficile Time-course experiments of Caco-2 cells infected with C. difficile for 30, 60 and 120 min

Project description:A major risk factor for Clostridioides difficile infection (CDI) is the perturbation of the gut microbiota by antibiotic administration, and antibiotic therapy, the standard treatment option for CDI, exacerbates the imbalance of the gut microbiota, leading to a very high recurrent CDI (rCDI) incidence rate. Therefore, CDI treatment based on live biotherapeutic products (LBPs) has recently emerged for long-term CDI management and preventive treatment However, there is limited research and understanding of how these LBPs improve CDI symptoms, which raises the need to elucidate the therapeutic mechanisms of LBPs. To fill this knowledge gap, here, we holistically analyzed and investigated the mechanisms involved in the inhibitory effect of probiotics on C. difficile at the molecular level through a multiomics approach on screened strain from probiotics that inhibit C. difficile growth. First, Bifidobacterium species were co-cultured with C. difficile, and B. longum was screened based on its ability to inhibit the growth of C. difficile. Then, the antimicrobial activity of B. longum against C. difficile was confirmed by spot-on-lawn assay and organic acid quantification. Next, we performed proteomic and metabolomic analysis on C. difficile co-cultured with B. longum, and observed physiological changes associated with the inhibition of C. difficile growth and toxin production. It was found that lactate produced by B. longum up-regulated the lactate dehydrogenase complex of C. difficile, leading to a decrease in intracellular ATP synthesis and a subsequent decrease in (deoxy)ribonucleoside triphosphate synthesis. Furthermore, proteinaceous stress induced by B. longum was also identified through the up-regulation of ribosomal proteins, molecular chaperones, and chaperonins, and the down-regulation of translation-related proteins. Finally, we found that B. longum suppressed butyrate metabolism and toxin production by producing and replenishing proline consumed by C. difficile. Therefore, this study will not only expand our understanding of the mechanisms of probiotics' inhibition of C. difficile, but also contribute to the development of LBPs based on molecular mechanisms for treating CDI.

Dataset Information

Identifying fecal host biomarkers for the presence and severity of Clostridioides difficile infection using top-down proteomics

Publications

Fecal host biomarkers predicting severity of Clostridioides difficile infection.

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