Functional defects in Clostridium difficile TcdB toxin uptake identify CSPG4 receptor-binding determinants.

Clostridium difficile is a major nosocomial pathogen that produces two exotoxins, TcdA and TcdB, with TcdB thought to be the primary determinant in human disease. TcdA and TcdB are large, multidomain proteins, each harboring a cytotoxic glucosyltransferase domain that is delivered into the cytosol from endosomes via a translocation domain after receptor-mediated endocytosis of toxins from the cell surface. Although there are currently no known host cell receptors for TcdA, three cell-surface receptors for TcdB have been identified: CSPG4, NECTIN3, and FZD1/2/7. The sites on TcdB that mediate binding to each receptor are not defined. Furthermore, it is not known whether the combined repetitive oligopeptide (CROP) domain is involved in or required for receptor binding. Here, in a screen designed to identify sites in TcdB that are essential for target cell intoxication, we identified a region at the junction of the translocation and the CROP domains that is implicated in CSPG4 binding. Using a series of C-terminal truncations, we show that the CSPG4-binding site on TcdB extends into the CROP domain, requiring three short repeats for binding and for full toxicity on CSPG4-expressing cells. Consistent with the location of the CSPG4-binding site on TcdB, we show that the anti-TcdB antibody bezlotoxumab, which binds partially within the first three short repeats, prevents CSPG4 binding to TcdB. In addition to establishing the binding region for CSPG4, this work ascribes for the first time a role in TcdB CROPs in receptor binding and further clarifies the relative roles of host receptors in TcdB pathogenesis.

Plasma lipid profiling across species for the identification of optimal animal models of human dyslipidemia.

In an attempt to understand the applicability of various animal models to dyslipidemia in humans and to identify improved preclinical models for target discovery and validation for dyslipidemia, we measured comprehensive plasma lipid profiles in 24 models. These included five mouse strains, six other nonprimate species, and four nonhuman primate (NHP) species, and both healthy animals and animals with metabolic disorders. Dyslipidemic humans were assessed by the same measures. Plasma lipoprotein profiles, eight major plasma lipid fractions, and FA compositions within these lipid fractions were compared both qualitatively and quantitatively across the species. Given the importance of statins in decreasing plasma low-density lipoprotein cholesterol for treatment of dyslipidemia in humans, the responses of these measures to simvastatin treatment were also assessed for each species and compared with dyslipidemic humans. NHPs, followed by dog, were the models that demonstrated closest overall match to dyslipidemic humans. For the subset of the dyslipidemic population with high plasma triglyceride levels, the data also pointed to hamster and db/db mouse as representative models for practical use in target validation. Most traditional models, including rabbit, Zucker diabetic fatty rat, and the majority of mouse models, did not demonstrate overall similarity to dyslipidemic humans in this study.

Intracisternal A particle genes: Distribution in the mouse genome, active subtypes, and potential roles as species-specific mediators of susceptibility to cancer.

Rodents, mice and rats in particular, are the species of choice for evaluating chemical carcinogenesis. However, different species and strains often respond very differently, undermining the logic of extrapolation of animal results to humans and complicating risk assessment. Intracisternal A particles (IAPs), endogenous retroviral sequences, are an important class of transposable elements that induce genomic mutations and cell transformation by disrupting gene expression. Several lines of evidence support a role of IAPs as mouse-specific genetic factors in responses to toxicity and expression of disease phenotypes. Since multiple subtypes and copies of IAPs are present in the mouse genome, their activity and locations relative to functional genes are of critical importance. This study identified the major "active" subtypes of IAPs (subtype 1/1a) that are responsible for newly transposed IAP insertions described in the literature, and confirmed that (1) polymorphisms for IAP insertions exist among different mouse strains and (2) promoter activity of the LTRs can be modulated by chemicals. This study further identified all the genes in the C57BL/6 mouse genome with IAP subtype 1 and 1a sequences inserted in their proximity, and the major biofunctional categories and cellular signaling networks of those genes. Since many "IAP-associated genes" play important roles in the regulation of cell proliferation, cell cycle, and cell death, the associated IAPs, upon activation, can affect cellular responses to xenobiotics and disease processes, especially carcinogenesis. This systemic analysis provides a solid foundation for further investigations of the role of IAPs as species- and strain-specific disease susceptibility factors.

A practical approach to a viral detection pipeline using existing viral and non-viral sequence resources.

For public health safety, vaccines and other pharmaceutical products as well as the raw materials used in their manufacture need to be tested for adventitious virus contamination. The current standard of practice is to develop culture-based or polymerase chain reaction assays for the types of viruses one might expect based upon the source of reagents used. High-throughput sequencing technology is well-suited for building an unbiased strategy for the purpose of adventitious virus detection. We have developed an approach to automate curation of publically available nucleotide sequences, and have practically balanced the desire to capture all viral diversity while simultaneously reducing the use of partial viral sequences that represent the largest source of false positive results. In addition, we describe an effective workflow for virus detection that can process sequence data from all currently available High-throughput sequencing technologies and produce a report that summarizes the weight of sequence data in support of each detected virus.