C Diff Molecular

Stanford research findings could lead to new ways to block the bacteria Clostridium difficile -- or C. diff -- from multiplying in our guts.

The proportion of cases with CDI in perforated appendicitis was found to be greater in comparison to the non-perforated cases.

A rapid and accurate sample collection is significant for culture results, making an outstanding contribution to the successful treatment.

SATB2 plays a vital role in maintaining intestinal homeostasis and its deficiency promotes the development of colitis and CAC by influencing the intestinal luminal environment and gut flora.

These data suggest that fecal microbiota from children with VA deficiency attenuates colonic barrier function in GF mice, which may be achieved by changing the bile acid metabolic pathways.

Clostridioides difficile is a Gram-positive, spore-forming, toxin-producing anaerobe that can cause nosocomial antibiotic-associated intestinal disease. Although the production of toxin A (TcdA) and toxin B (TcdB) contribute to the main pathogenesis of C. difficile , the mechanism of TcdA and TcdB release from cell remains unclear. In this study, we identified and characterized a new cell wall hydrolase Cwl0971 ( CDR20291_0971 ) from C. difficile R20291, which is involved in bacterial autolysis. The gene 0971 deletion mutant (R20291Δ0971) generated with CRISPR-AsCpfI exhibited significantly delayed cell autolysis and increased cell viability compared to R20291, and the purified Cwl0971 exhibited hydrolase activity for Bacillus subtilis cell wall. Meanwhile, 0971 gene deletion impaired TcdA and TcdB release due to the decreased cell autolysis in the stationary / late phase of cell growth. Moreover, sporulation of the mutant strain decreased significantly compared to the wild type strain. In vivo , the defect of Cwl0971 decreased fitness over the parent strain in a mouse infection model. Collectively, Cwl0971 is involved in cell wall lysis and cell viability, which affects toxin release, sporulation, germination, and pathogenicity of R20291, indicating that Cwl0971 could be an attractive target for C. difficile infection therapeutics and prophylactics. ### Competing Interest Statement The authors have declared no competing interest.

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A temperate siphovirus, phiCDKH01, was obtained from a clinical isolate of Clostridioides difficile. The phage genome is a 45,089-bp linear double-stranded DNA molecule with an average G+C content of 28.7%. It shows low similarity to known phage genomes, except for phiCD24-1. Genomic and phylogeneti …

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AbstractBackground. Clostridioides difficile was listed as an urgent antimicrobial resistance (AMR) threat in a report by the CDC in 2019. AMR drives the evolut

Comparative analysis of Clostridioides difficile whole-genome sequencing (WGS) data enables fine scaled investigation of transmission and is increasingly becoming part of routine surveillance. However, these analyses are constrained by the computational requirements of the large volumes of data involved. By decomposing WGS reads or assemblies into k-mers and using the dimensionality reduction technique MinHash, it is possible to rapidly approximate genomic distances without alignment. Here we assessed the performance of MinHash, as implemented by sourmash, in predicting single nucleotide differences between genomes (SNPs) and C. difficile ribotypes (RTs). For a set of 1,905 diverse C. difficile genomes (differing by 0-168,519 SNPs), using sourmash to screen for closely related genomes, at a sensitivity of 100% for pairs ≤10 SNPs, sourmash reduced the number of pairs from 1,813,560 overall to 161,934, i.e., by 91%, with a positive predictive value of 32% to correctly identify pairs ≤10 SNPs (maximum SNP distance 4,144). At a sensitivity of 95%, pairs were reduced by 94% to 108,266 and PPV increased to 45% (maximum SNP distance 1,009). Increasing the MinHash sketch size above 2000 produced minimal performance improvement. We also explored a MinHash similarity-based ribotype prediction method. Genomes with known ribotypes (n=3,937) were split into a training set (2,937) and test set (1,000) randomly. The training set was used to construct a sourmash index against which genomes from the test set were compared. If the closest 5 genomes in the index had the same ribotype this was taken to predict the searched genome’s ribotype. Using our MinHash ribotype index, predicted ribotypes were correct in 780/1000 (78%) genomes, incorrect in 20 (2%), and indeterminant in 200 (20%). Relaxing the classifier to 4/5 closest matches with the same RT improved the correct predictions to 87%. Using MinHash it is possible to subsample C. difficile genome k-mer hashes and use them to approximate small genomic differences within minutes, significantly reducing the search space for further analysis. Impact statement The genetic code, or DNA, of bacteria is increasingly used to track how infection spreads and to guide infection control interventions, as similar or identical DNA sequences are expected in samples from pair of individuals related by transmission. While obtaining the DNA sequence for bacteria is increasingly straightforward, comparing thousands or even millions of sequences requires substantial computing power and time using current approaches. Here we describe how a method for summarising sequencing data, MinHash, can be used to rapidly reduce the number of possible close sequence matches in Clostridioides difficile , an important healthcare-associated pathogen. It can also be used to approximate traditional schemes used to classify C. difficile into smaller subgroups in transmission analyses, such as ribotyping. Data summary The authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files. ### Competing Interest Statement MHW has received consulting fees from Actelion, Astellas, MedImmune, Merck, Pfizer, Sanofi-Pasteur, Seres, Summit, and Synthetic Biologics; lecture fees from Alere, Astellas, Merck & Pfizer; and grant support from Actelion, Astellas, bioMerieux, Da Volterra, Merck and Summit. SDG has received consulting fees from Abbott, Aquarius Population Health, Astellas and MSD; lecture fees from Astellas, MSD and Orion Diagnostics; and grant support from Astellas. DWE declares lecture fees from Gilead outside the submitted work. No other author has a conflict of interest to declare.

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CDC/Jennifer Oosthuizen Medical illustration of Clostridioides difficile bacteria. FINDINGS Research led by scientists from UCLA and Harvard...

Research led by scientists from UCLA and Harvard University has uncovered details about how the bacterium Clostridioides difficile causes excessive

Inflammatory Bowel Disease (IBD) is not a true diagnosis. Rather, it encompasses a conglomeration of inflammatory digestive issues associated with a variety of causes. Patients often present with

What health care providers need to know about the 2 strains of C. difficile, including types of patients impacted and typical outcomes.

These reports include research on the impact of the microbiome on obesity, asthma and COVID-19.

Inflammation benefits C. diff in two ways: by suppressing competition and creating more resources for the bacterium.