Search

Understanding how stressors combine to affect population abundances and trajectories is a fundamental ecological problem with increasingly important implications worldwide. Generalisations about interactions among stressors are challenging due to different categorisation methods and how stressors vary across species and systems. Here, we propose using a newly introduced framework to analyse data from the last 25 years on ecological stressor interactions, for example combined effects of temperature, salinity and nutrients on population survival and growth. We contrast our results with the most commonly used existing method - analysis of variance (ANOVA) - and show that ANOVA assumptions are often violated and have inherent limitations for detecting interactions. Moreover, we argue that rescaling - examining relative rather than absolute responses - is critical for ensuring that any interaction measure is independent of the strength of single-stressor effects. In contrast, non-rescaled measures - like ANOVA - find fewer interactions when single-stressor effects are weak. After re-examining 840 two-stressor combinations, we conclude that antagonism and additivity are the most frequent interaction types, in strong contrast to previous reports that synergy dominates yet supportive of more recent studies that find more antagonism. Consequently, measuring and re-assessing the frequency of stressor interaction types is imperative for a better understanding of how stressors affect populations.

In bacteria, evolution of resistance to one antibiotic is frequently associated with increased resistance (cross-resistance) or increased susceptibility (collateral sensitivity) to other antibiotics. Cross-resistance and collateral sensitivity are typically evaluated at the minimum inhibitory concentration (MIC). However, these susceptibility changes are not well characterized with respect to the mutant prevention concentration (MPC), the antibiotic concentration that prevents a single-step mutation from occurring. We measured the MIC and the MPC for Staphylococcus epidermidis and 14 single-drug resistant strains against seven antibiotics. We found that the MIC and the MPC were positively correlated but that this correlation weakened if cross-resistance did not evolve. If any type of resistance did evolve, the range of concentrations between the MIC and the MPC tended to shift right and widen. Similar patterns of cross-resistance and collateral sensitivity were observed at the MIC and MPC levels, though more symmetry was observed at the MIC level. Whole-genome sequencing revealed mutations in both known-target and nontarget genes. Moving forward, examining both the MIC and the MPC may lead to better predictions of evolutionary trajectories in antibiotic-resistant bacteria.

Mucormycosis is a difficult to diagnose rare disease with high morbidity and mortality. Diagnosis is often delayed, and disease tends to progress rapidly. Urgent surgical and medical intervention is lifesaving. Guidance on the complex multidisciplinary management has potential to improve prognosis, but approaches differ between health-care settings. From January, 2018, authors from 33 countries in all United Nations regions analysed the published evidence on mucormycosis management and provided consensus recommendations addressing differences between the regions of the world as part of the "One World One Guideline" initiative of the European Confederation of Medical Mycology (ECMM). Diagnostic management does not differ greatly between world regions. Upon suspicion of mucormycosis appropriate imaging is strongly recommended to document extent of disease and is followed by strongly recommended surgical intervention. First-line treatment with high-dose liposomal amphotericin B is strongly recommended, while intravenous isavuconazole and intravenous or delayed release tablet posaconazole are recommended with moderate strength. Both triazoles are strongly recommended salvage treatments. Amphotericin B deoxycholate is recommended against, because of substantial toxicity, but may be the only option in resource limited settings. Management of mucormycosis depends on recognising disease patterns and on early diagnosis. Limited availability of contemporary treatments burdens patients in low and middle income settings. Areas of uncertainty were identified and future research directions specified.

This article discusses the chalk talk's potential as an active learning method. Although chalk talks are a form of interactive lecture, they have received little attention in the medical education literature compared with other active learning methods such as team-based learning and simulation. One of the authors (C. K. L. Phoon) has used chalk talks to teach congenital heart defects to first- and third-year NYU medical students for many years. His chalk talks have consistently earned among the highest teaching scores, and students have noted their strengths of being more interesting, clear, and tangible than didactic lectures. Using the teacher and student perspectives, we examine the chalk talk's strengths and weaknesses compared with common passive and active learning methods. Chalk talks create a real-time, shared space that facilitates the active learning goals of helping students build, test, and revise mental models (conceptual frameworks). The limited amount of information that can be presented and the ability to solicit and arrange students' ideas on the board lead to the cocreation of valuable conceptual frameworks. Chalk talks require less restructuring of teaching sessions than other active learning methods and are best suited to topics that hinge on understanding of concepts. We advocate for the chalk talk to be reexamined as a promising educational tool given its strengths and the successes that other active learning methods have shown. Furthermore, we provide guidance to help educators deliver chalk talks and discuss future studies that would advance understanding of this powerful teaching tool.

Interactions and emergent processes are essential for research on complex systems involving many components. Most studies focus solely on pairwise interactions and ignore higher-order interactions among three or more components. To gain deeper insights into higher-order interactions and complex environments, we study antibiotic combinations applied to pathogenic Escherichia coli and obtain unprecedented amounts of detailed data (251 two-drug combinations, 1512 three-drug combinations, 5670 four-drug combinations, and 13608 five-drug combinations). Directly opposite to previous assumptions and reports, we find higher-order interactions increase in frequency with the number of drugs in the bacteria's environment. Specifically, as more drugs are added, we observe an elevated frequency of net synergy (effect greater than expected based on independent individual effects) and also increased instances of emergent antagonism (effect less than expected based on lower-order interaction effects). These findings have implications for the potential efficacy of drug combinations and are crucial for better navigating problems associated with the combinatorial complexity of multi-component systems.

BackgroundThe utility of Aspergillus galactomannan (GM) and β-D-glucan (BG) in liver transplant recipients remains uncertain.MethodsAs part of a randomized, double-blind trial of antifungal prophylaxis in liver transplant recipients at risk for invasive fungal infections (IFIs), GM and BG were assessed in 199 patients at baseline (enrollment) and weekly thereafter for the duration of study drug. Receiver operating characteristic (ROC) analysis was used to evaluate the accuracy of these for the diagnosis of IFIs.ResultsOverall, 46.4% of the patients at baseline had positive GM (index ≥ 0.5) and 89.6% had BG of 80 pg/mL or greater with BG level of 500 pg/mL or greater in 31.8%. Patients with invasive aspergillosis (IA) (3/3) had positive GM at baseline as did 45.5% of those without IA (P = 0.098); the area under the ROC curve for the diagnosis of IA was 0.77 (fair test, ie, good sensitivity but poor specificity). Using BG cutoff of 80 pg/mL or higher, 100% (12/12) of the patients with IFI had positive baseline BG and as did 88.9% (160/180) of those without IFI (P = 0.618); the area under the ROC curve for predicting IFIs was 0.56 (poor test). In multivariate analyses, GM positivity was associated with study site (P = 0.041), and BG positivity with renal replacement therapy (P = 0.05) and study site (P = 0.01). The GM and BG levels declined over time; positivity at subsequent time points was lower in comparison with baseline (P < 0.001).ConclusionsThe GM and BG tests had significant center variability and limited accuracy for the diagnosis of IFIs in high-risk liver transplant recipients.

In a post-hoc analysis of the association of CMV DNAemia with long-term mortality in a randomized trial of CMV preemptive therapy vs. antiviral prophylaxis in D+R- liver transplant recipients, post-intervention CMV DNAemia was associated with increased mortality after adjusting for study arm. [ABSTRACT FROM AUTHOR]