Immunization with a DNA adenine methylase over-producing Yersinia pseudotuberculosis vaccine confers robust cross-protection against heterologous pathogenic serotypes

Epigenetic-Mediated Antimicrobial Resistance: Host versus Pathogen Epigenetic Alterations

Since the discovery of antibiotics, humans have been benefiting from them by decreasing the morbidity and mortality associated with bacterial infections. However, in the past few decades, misuse of antibiotics has led to the emergence of bacterial infections resistant to multiple drugs, a significant health concern. Bacteria exposed to inappropriate levels of antibiotics lead to several genetic changes, enabling them to survive in the host and become more resistant. Despite the understanding and targeting of genetic-based biochemical changes in the bacteria, the increasing levels of antibiotic resistance are not under control. Many reports hint at the role of epigenetic modifications in the bacterial genome and host epigenetic reprogramming due to interaction with resistant pathogens. Epigenetic changes, such as the DNA-methylation-based regulation of bacterial mutation rates or bacteria-induced histone modification in human epithelial cells, facilitate its long-term survival. In this review article, epigenetic changes leading to the development of antibiotic resistance in clinically relevant bacteria are discussed. Additionally, recent lines of evidence focusing on human host epigenetic changes due to the human–pathogen interactions are presented. As genetic mechanisms cannot explain the transient nature of antimicrobial resistance, we believe that epigenetics may provide new frontiers in antimicrobial discovery.

Force spectroscopy of interactions between Yersinia pseudotuberculosis and Yersinia pestis cells and monoclonal antibodies using optical tweezers

The interactions of a microbial cell with host cells and humoral factors play an important role in the development of infectious diseases. The study of these mechanisms contributes to the development of effective methods for the treatment of bacterial infections. One of the possible approaches to studying bacterial adhesion to host cells is based on the use of the optical trap method. The aim of this work was to assess the significance of lipopolysaccharide O-antigen on the adhesiveness of Yersinia pseudotuberculosis using a model system including a bacterial cell captured by a laser beam and monoclonal antibodies (mAbs) bound covalently to a glass substrate. Registered interaction forces between Y. pseudotuberculosis cells and complementary antibodies to the O-antigen of lipopolysaccharide (LPS) or the B antigen outer membrane protein were 5.9 ± 3.3 and 2.0 ± 1.8 pN, respectively. Interaction forces between O-antigen deficient Y. pestis cells and the mentioned mAbs were 4.2 ± 2.9 and 9.6 ± 4.9 pN. The results are qualitatively consistent with earlier data obtained by using a model system based on polymer beads sensitized with LPS from Y. pseudotuberculosis and Y. pestis and surfaces coated by the aforementioned antibodies. This indicates that the immunochemical activity of Y. pseudotuberculosis cells is mediated mainly by the lipopolysaccharide. The model described can be used in similar studies of physicochemical and immunochemical mechanisms of bacterial adhesiveness.

Smartphone-based pathogen diagnosis in urinary sepsis patients

Background

There is an urgent need for rapid, sensitive, and affordable diagnostics for microbial infections at the point-of-care. Although a number of innovative systems have been reported that transform mobile phones into potential diagnostic tools, the translational challenge to clinical diagnostics remains a significant hurdle to overcome.

Methods

A smartphone-based real-time loop-mediated isothermal amplification (smaRT-LAMP) system was developed for pathogen ID in urinary sepsis patients. The free, custom-built mobile phone app allows the phone to serve as a stand-alone device for quantitative diagnostics, allowing the determination of genome copy-number of bacterial pathogens in real time.

Findings

A head-to-head comparative bacterial analysis of urine from sepsis patients revealed that the performance of smaRT-LAMP matched that of clinical diagnostics at the admitting hospital in a fraction of the time (~1 h vs. 18–28 h). Among patients with bacteremic complications of their urinary sepsis, pathogen ID from the urine matched that from the blood – potentially allowing pathogen diagnosis shortly after hospital admission. Additionally, smaRT-LAMP did not exhibit false positives in sepsis patients with clinically negative urine cultures.

Interpretation

The smaRT-LAMP system is effective against diverse Gram-negative and -positive pathogens and biological specimens, costs less than $100 US to fabricate (in addition to the smartphone), and is configurable for the simultaneous detection of multiple pathogens. SmaRT-LAMP thus offers the potential to deliver rapid diagnosis and treatment of urinary tract infections and urinary sepsis with a simple test that can be performed at low cost at the point-of-care.

Fund

National Institutes of Health, Chan-Zuckerberg Biohub, Bill and Melinda Gates Foundation.

Correcting a Fundamental Flaw in the Paradigm for Antimicrobial Susceptibility Testing

The emergence and prevalence of antibiotic-resistant bacteria are an increasing cause of death worldwide, resulting in a global ‘call to action’ to avoid receding into an era lacking effective antibiotics. Despite the urgency, the healthcare industry still relies on a single in vitro bioassay to determine antibiotic efficacy. This assay fails to incorporate environmental factors normally present during host-pathogen interactions in vivo that significantly impact antibiotic efficacy. Here we report that standard antimicrobial susceptibility testing (AST) failed to detect antibiotics that are in fact effective in vivo; and frequently identified antibiotics that were instead ineffective as further confirmed in mouse models of infection and sepsis. Notably, AST performed in media mimicking host environments succeeded in identifying specific antibiotics that were effective in bacterial clearance and host survival, even though these same antibiotics failed in results using standard test media. Similarly, our revised media further identified antibiotics that were ineffective in vivo despite passing the AST standard for clinical use. Supplementation of AST medium with sodium bicarbonate, an abundant in vivo molecule that stimulates global changes in bacterial structure and gene expression, was found to be an important factor improving the predictive value of AST in the assignment of appropriate therapy. These findings have the potential to improve the means by which antibiotics are developed, tested, and prescribed.

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Standard antimicrobial susceptibility testing (AST) is fundamentally flawed because it is based largely on in vitro efficacy.

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AST performed under conditions that mimic natural infections improves the assignment of appropriate antibiotic therapy.

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In vivo altered susceptibility (IVAS) provides a new paradigm for drug discovery and therapeutic intervention.

Drug testing often excludes potent antibiotics for the treatment of bacterial infections, while frequently identifying antibiotics that are ineffective. However, drug testing under conditions that mimic natural infections succeeded in identifying effective antibiotics, even though these same antibiotics failed standard tests. This work suggests that standard drug-testing may be hindering patient treatment and slowing the process of discovery of new, effective, and safe antibiotics because it disqualifies effective compounds. These findings call for an overhaul of standardized drug testing which hasn't changed in > 50 years.