Biology subjects

Weber, R.

Publications and source records attributed to Weber, R..

23 records · Page 2Linked to original sources

bioRxiv2021

Measurement of Volatile Compounds for Real-time Analysis of Soil Microbial Metabolic Response to Simulated Snowmelt

Snowmelt dynamics are a significant determinant of microbial metabolism in soil and regulate global biogeochemical cycles of carbon and nutrients by creating seasonal variations in soil redox and nutrient pools. With an increasing concern that climate change accelerates both snowmelt timing and rate, obtaining an accurate characterization of microbial response to snowmelt is important for understanding biogeochemical cycles intertwined with soil. However, observing microbial metabolism and its dynamics non-destructively remains a major challenge for systems such as soil. Microbial volatile compounds (mVCs) emitted from soil represent information-dense signatures and when assayed non-destructively using state-of-the-art instrumentation such as Proton Transfer Reaction-Time of Flight-Mass Spectrometry (PTR-TOF-MS) provide time resolved insights into the metabolism of active microbiomes. In this study, we used PTR-TOF-MS to investigate the metabolic trajectory of microbiomes from a subalpine forest soil, and their response to a simulated wet-up event akin to snowmelt. Using an information theory approach based on the partitioning of mutual information, we identified mVC metabolite pairs with robust interactions, including those that were non-linear and with time lags. The biological context for these mVC interactions was evaluated by projecting the connections onto the Kyoto Encyclopedia of Genes and Genomes (KEGG) network of known metabolic pathways. Simulated snowmelt resulted in a rapid increase in the production of trimethylamine (TMA) suggesting that anaerobic degradation of quaternary amine osmo/cryoprotectants, such as glycine betaine, may be important contributors to this resource pulse. Unique and synergistic connections between intermediates of methylotrophic pathways such as dimethylamine, formaldehyde and methanol were observed upon wet-up and indicate that the initial pulse of TMA was likely transformed into these intermediates by methylotrophs. Increases in ammonia oxidation signatures (transformation of hydroxylamine to nitrite) were observed in parallel, and while the relative role of nitrifiers or methylotrophs cannot be confirmed, the inferred connection to TMA oxidation suggests either a direct or indirect coupling between these processes. Overall, it appears that such mVC time-series from PTR-TOF-MS combined with causal inference represents an attractive approach to non-destructively observe soil microbial metabolism and its response to environmental perturbation.

microbiology↗

bioRxiv2021

DAP5 enables translation re-initiation on structured messenger RNAs

Half of mammalian transcripts contain short upstream open reading frames (uORFs) that potentially regulate translation of the downstream coding sequence (CDS). The molecular mechanisms governing these events remain poorly understood. Here we find that the non-canonical initiation factor Death-associated protein 5 (DAP5 or eIF4G2) is selectively required for re-initiation at the main CDS following uORF translation. Using ribosome profiling and luciferase-based reporters coupled with mutational analysis we show that DAP5-mediated re-initiation occurs on messenger RNAs (mRNAs) with long, structure-prone 5' leader sequences and persistent uORF translation. These mRNAs preferentially code for signalling factors such as kinases and phosphatases. We also report that cap/eIF4F- and eIF4A-dependent recruitment of DAP5 to the mRNA facilitates re-initiation by unrecycled post-termination 40S subunits. Our study reveals important mechanistic insights into how a non-canonical translation initiation factor involved in stem cell fate shapes the synthesis of specific signalling factors.

molecular biology↗

bioRxiv2020

Failure of VITEK2 to reliably detect vanB- mediated vancomycin resistance in Enterococcus faecium

ObjectivesThe increasing prevalence of vancomycin resistant enterococci (VRE) necessitates a reliable detection of VRE especially for low level resistance mediated by vanB in Enterococcus faecium. In this prospective study we analyzed if vanB mediated vancomycin resistance can be reliably detected by Vitek2. Methods1344 enterococcal isolates from routine clinical specimens were tested by Vitek2 (bioMerieux, Nurtingen, Germany). Additionally, a bacterial suspension (0.5 McFarland) was inoculated on a chromID VRE screening agar (bioMerieux) and incubated for 48 hours. If vancomycin was tested susceptible by Vitek2 but growth was detected on the screening agar a PCR for vanA/vanB was performed (GeneXpert vanA/B test kit, Cepheid, Frankfurt, Germany). MICs of vancomycin susceptible by Vitek but vanA/B positive isolates were determined before and after cultivation in a broth with increasing concentration of vancomycin. Results156/492 of E. faecium were VRE, predominantly vanB (87.0%) of which 14 were not identified as VRE by Vitek2 (sensitivity 91.0%). The majority (9/14) demonstrated high-level MICs by broth dilution. Even after exposure to increasing vancomycin concentrations MICs remained nearly identical. Three of the undetected isolates demonstrated initial growth on chromID VRE, after the vancomycin exposure additional 7 isolates demonstrated growth on chromID VRE. ConclusionsVitek2 fails to detect vanB mediated vancomycin resistance consistently, especially but not limited to low-level resistance. As this may lead to treatment failure and further dissemination of vanB VRE, additional methods (e.g. culture on VRE screening agar or PCR) are necessary to reliably identify vanB-positive enterococci in clinical routine.

microbiology↗

bioRxiv2019

Multicenter Analysis of Dosing Protocols for Sotalol Initiation

Sotalol is a Vaughan-Williams Class III antiarrhythmic medication that is commonly used in the management of both atrial and ventricular arrhythmias. Like others in this class, sotalol carries a risk of the potentially lethal arrhythmia torsade de pointes due to its effect of prolonging the QT interval on ECG. For this reason, many centers admit patients for telemetry monitoring during the initial 2-3 days of dosing. However, despite its widespread use, little information is available about the dosing protocols used during this initiation process. In this multicenter investigation, we examine the characteristics of various dose protocols in 213 patients who initiated sotalol over a 4-year period. Of these patients, over 90% were able to successfully complete the dosing regimen (i.e., were discharged on the medication). Significant bradycardia, excessive QT prolongation, and ineffectiveness were the main reasons for failed completion. We found that any dose adjustment was one of the strongest univariate predictors of successful initiation (OR 6.6, 95%CI 1.3 - 32.7, p = 0.021), while initial dose, indication, and resting heart rate or QT interval on baseline ECG did not predict successful initiation. Several predictors of any dose adjustment were identified, and included diabetes, hypertension, presence of pacemaker, heart failure diagnosis, and depressed LV ejection fraction. Using marginal structural models (i.e., inverse probability weighting based on probability of a dose adjustment), we verified that these factors also predicted successful initiation via preventing any dose adjustment, and suggests that consideration of these factors may result in higher likelihood of successful initiation in future investigations. In conclusion, we found that the majority of patients admitted for sotalol initiation are successfully discharged on the medication, often without a single adjustment in the dose. Our findings suggest that several factors predicting lack of dose adjustment could be used clinically to identify patients who could potentially undergo outpatient initiation, although prospective studies are needed to verify this approach.

pharmacology and toxicology↗

bioRxiv2019

Applications of Machine Learning in Decision Analysis for Dose Management for Dofetilide

Initiation of the antiarrhythmic medication dofetilide requires an FDA-mandated 3 days of telemetry monitoring due to heightened risk of toxicity within this time period. Although a recommended dose management algorithm for dofetilide exists, there is a range of real-world approaches to dosing the medication. In this multicenter investigation, we examined the decision process for dose adjustment of dofetilide during the observation period using machine-learning approaches, including supervised, unsupervised, and reinforcement learning applications. Logistic regression approaches identified any dose-adjustment as a strong negative predictor of successful loading (i.e., discharged on dofetilide) of the medication (OR 0.19, 95%CI 0.12 - 0.31, p < 0.001 for discharge on dofetilide), indicating that these adjustments are strong determinants of whether patients "tolerate" the medication. Using multiple supervised approaches, including regularized logistic regression, random forest, boosted gradient decision trees, and neural networks, we were unable to identify any model that predicted dose adjustments better than a naive approach. A reinforcement-learning algorithm, in contrast, predicted which patient characteristics and dosing decisions that resulted in the lowest risk of failure to be discharged on the medication. Future studies could apply this algorithm prospectively to examine improvement over standard approaches.

pharmacology and toxicology↗