Bringing pharmacomicrobiomics to the clinic through well-designed studies.

Pharmacomicrobiomic studies investigate drug-microbiome interactions, such as the effect of microbial variation on drug response and disposition. Studying and understanding the interactions between the gut microbiome and drugs is becoming increasingly relevant to clinical practice due to its potential for avoiding adverse drug reactions or predicting variability in drug response. The highly variable nature of the human microbiome presents significant challenges to assessing microbes' influence. Studies aiming to explore drug-microbiome interactions should be well-designed to account for variation in the microbiome over time and collect data on confounders such as diet, disease, concomitant drugs, and other environmental factors. Here, we assemble a set of important considerations and recommendations for the methodological features required for performing a pharmacomicrobiomic study in humans with a focus on the gut microbiome. Consideration of these factors enable discovery, reproducibility, and more accurate characterization of the relationships between a given drug and the microbiome. Furthermore, appropriate interpretation and dissemination of results from well-designed studies will push the field closer to clinical relevance and implementation.

Efficacy of personal pharmacogenomic testing as an educational tool in the pharmacy curriculum: A nonblinded, randomized controlled trial.

Personal genomic educational testing (PGET) has been suggested as a strategy to improve student learning for pharmacogenomics (PGx), but no randomized studies have evaluated PGET's educational benefit. We investigated the effect of PGET on student knowledge, comfort, and attitudes related to PGx in a nonblinded, randomized controlled trial. Consenting participants were randomized to receive PGET or no PGET (NPGET) during 4 subsequent years of a PGx course. All participants completed a pre-survey and post-survey designed to assess (1) PGx knowledge, (2) comfort with PGx patient education and clinical skills, and (3) attitudes toward PGx. Instructors were blinded to PGET assignment. The Wilcoxon Rank Sum test was used to compare pre-survey and post-survey PGx knowledge, comfort, and attitudes. No differences in baseline characteristics were observed between PGET (n = 117) and NPGET (n = 116) participants. Among all participants, significant improvement was observed in PGx knowledge (mean 57% vs. 39% correct responses; p < 0.001) with similar results for student comfort and attitudes. Change in pre/post-PGx knowledge, comfort, and attitudes were not significantly different between PGET and NPGET groups (mean 19.5% vs. 16.7% knowledge improvement, respectively; p = 0.41). Similar results were observed for PGET participants carrying a highly actionable PGx variant versus PGET participants without an actionable variant. Significant improvement in Likert scale responses were observed in PGET versus NPGET for questions that assessed student engagement (p = 0.020) and reinforcement of course concepts (p = 0.006). Although some evidence of improved engagement and participation was observed, the results of this study suggest that PGET does not directly improve student PGx knowledge, comfort, and attitudes.

Machine Learning for Prediction of Stable Warfarin Dose in US Latinos and Latin Americans.

Populations used to create warfarin dose prediction algorithms largely lacked participants reporting Hispanic or Latino ethnicity. While previous research suggests nonlinear modeling improves warfarin dose prediction, this research has mainly focused on populations with primarily European ancestry. We compare the accuracy of stable warfarin dose prediction using linear and nonlinear machine learning models in a large cohort enriched for US Latinos and Latin Americans (ULLA). Each model was tested using the same variables as published by the International Warfarin Pharmacogenetics Consortium (IWPC) and using an expanded set of variables including ethnicity and warfarin indication. We utilized a multiple linear regression model and three nonlinear regression models: Bayesian Additive Regression Trees, Multivariate Adaptive Regression Splines, and Support Vector Regression. We compared each model's ability to predict stable warfarin dose within 20% of actual stable dose, confirming trained models in a 30% testing dataset with 100 rounds of resampling. In all patients (n = 7,030), inclusion of additional predictor variables led to a small but significant improvement in prediction of dose relative to the IWPC algorithm (47.8 versus 46.7% in IWPC, p = 1.43 × 10-15). Nonlinear models using IWPC variables did not significantly improve prediction of dose over the linear IWPC algorithm. In ULLA patients alone (n = 1,734), IWPC performed similarly to all other linear and nonlinear pharmacogenetic algorithms. Our results reinforce the validity of IWPC in a large, ethnically diverse population and suggest that additional variables that capture warfarin dose variability may improve warfarin dose prediction algorithms.

Delivery of large transgene cassettes by foamy virus vector.

Viral vectors are effective tools in gene therapy, but their limited packaging capacity can be restrictive. Larger clinically-relevant vectors are needed. Foamy viruses have the largest genomes among mammalian retroviruses and their vectors have shown potential for gene therapy in preclinical studies. However, the effect of vector genome size on titre has not been determined. We inserted increasing lengths of the dystrophin open reading frame in a foamy virus vector and quantified packaged vector RNA and integrated DNA. For both measures, a semi-logarithmic reduction in titre was observed as genome size increased. Concentrated titres were reduced 100-fold to approximately 106 transducing units per ml when vector genomes harboured a 12 kb insert, approximately twice that reported for lentivirus vectors in a comparable study. This potential was applied by optimising foamy virus vectors carrying the full-length dystrophin open-reading frame for transduction of human muscle derived cells. Full-length dystrophin protein was expressed and transduced cells remained able to form myotubes in vitro. Foamy virus vectors are well-suited for stable delivery of large transgene cassettes and warrant further investigation for development as a therapy for Duchenne or Becker muscular dystrophy.

Adult zebrafish model of bacterial meningitis in Streptococcus agalactiae infection.

Streptococcus agalactiae (Group B Streptococcus, GBS) is the major cause of severe bacterial disease and meningitis in newborns. The zebrafish (Danio rerio) has recently emerged as a valuable and powerful vertebrate model for the study of human streptococcal infections. In the present study we demonstrate that adult zebrafish are susceptible to GBS infection through the intraperitoneal and intramuscular routes of infection. Following intraperitoneal challenge with GBS, zebrafish developed a fulminant infection 24-48 h post-injection, with signs of pathogenesis including severe inflammation at the injection site and meningoencephalitis. Quantification of blood and brain bacterial load confirmed that GBS is capable of replicating in the zebrafish bloodstream and penetrating the blood-brain barrier, resulting in the induction of host inflammatory immune responses in the brain. Additionally, we show that GBS mutants previously described as avirulent in the mice model, have an impaired ability to cause meningitis in this new in vivo model. Taken together, our data demonstrates that adult zebrafish may be used as a bacterial meningitis model as a means for deciphering the pathogenesis and development of invasive GBS disease.

The structure of bypass of forespore C, an intercompartmental signaling factor during sporulation in Bacillus.

Sporulation in Bacillus subtilis begins with an asymmetric cell division giving rise to smaller forespore and larger mother cell compartments. Different programs of gene expression are subsequently directed by compartment-specific RNA polymerase sigma-factors. In the final stages, spore coat proteins are synthesized in the mother cell under the control of RNA polymerase containing sigma(K), (Esigma(K)). sigma(K) is synthesized as an inactive zymogen, pro-sigma(K), which is activated by proteolytic cleavage. Processing of pro-sigma(K) is performed by SpoIVFB, a metalloprotease that resides in a complex with SpoIVFA and bypass of forespore (Bof)A in the outer forespore membrane. Ensuring coordination of events taking place in the two compartments, pro-sigma(K) processing in the mother cell is delayed until appropriate signals are received from the forespore. Cell-cell signaling is mediated by SpoIVB and BofC, which are expressed in the forespore and secreted to the intercompartmental space where they regulate pro-sigma(K) processing by mechanisms that are not yet fully understood. Here we present the three-dimensional structure of BofC determined by solution state NMR. BofC is a monomer made up of two domains. The N-terminal domain, containing a four-stranded beta-sheet onto one face of which an alpha-helix is packed, closely resembles the third immunoglobulin-binding domain of protein G from Streptococcus. The C-terminal domain contains a three-stranded beta-sheet and three alpha-helices in a novel domain topology. The sequence connecting the domains contains a conserved DISP motif to which mutations that affect BofC activity map. Possible roles for BofC in the sigma(K) checkpoint are discussed in the light of sequence and structure comparisons.