How do phytophagous insects affect phyllosphere fungi? Tracking fungi from milkweed to monarch caterpillar frass reveals communities dominated by fungal yeast.

Since a significant proportion of plant matter is consumed by herbivores, a necessary adaptation for many phyllosphere microbes could be to survive through the guts of herbivores. While many studies explore the gut microbiome of herbivores by surveying the microbiome in their frass, few studies compare the phyllosphere microbiome to the gut microbiome of herbivores. High-throughput metabarcode sequencing was used to track the fungal community from milkweed (Asclepias spp.) leaves to monarch caterpillar frass. The most commonly identified fungal taxa that dominated the caterpillar frass after the consumption of leaves were yeasts, mostly belonging to the Basidiomycota phylum. While most fungal communities underwent significant bottlenecks and some yeast taxa increased in relative abundance, a consistent directional change in community structure was not identified from leaf to caterpillar frass. These results suggest that some phyllosphere fungi, especially diverse yeasts, can survive herbivory, but whether herbivory is a key stage of their life cycle remains uncertain. For exploring phyllosphere fungi and the potential coprophilous lifestyles of endophytic and epiphytic fungi, methods that target yeast and Basidiomycota fungi are recommended.

Elastocapillarity-driven 2D nano-switches enable zeptoliter-scale liquid encapsulation.

Biological nanostructures change their shape and function in response to external stimuli, and significant efforts have been made to design artificial biomimicking devices operating on similar principles. In this work we demonstrate a programmable nanofluidic switch, driven by elastocapillarity, and based on nanochannels built from layered two-dimensional nanomaterials possessing atomically smooth surfaces and exceptional mechanical properties. We explore operational modes of the nanoswitch and develop a theoretical framework to explain the phenomenon. By predicting the switching-reversibility phase diagram-based on material, interfacial and wetting properties, as well as the geometry of the nanofluidic circuit-we rationally design switchable nano-capsules capable of enclosing zeptoliter volumes of liquid, as small as the volumes enclosed in viruses. The nanoswitch will find useful application as an active element in integrated nanofluidic circuitry and could be used to explore nanoconfined chemistry and biochemistry, or be incorporated into shape-programmable materials.

Racial Health Disparity Associated With Poor Pediatric Cardiac Surgery Outcomes: A Multicentered, Cross-Sectional Study.

Background: Health disparities are known to play a role in pediatric cardiac surgery outcomes. Objectives: Risk factors associated with poor clinical outcomes were assessed. Methods: Using Pediatric Health Information System Database, pediatric subjects undergoing cardiac surgery using International Classification of Diseases 10th Revision from October 2015 to December 2020 were evaluated. Subjects were categorized by case complexity using the newly validated Risk Adjustment for Congenital Heart Surgery-2 (RACHS-2). Multivariable regression analyses were conducted to ascertain risk factors. Results: A total of 59,856 subjects, median age 7.4 months (IQR: 1.5-61 months) were included; 38,917 (low), 9,833 (medium), and 11,106 (high) RACHS-2. Overall, hospital mortality was 3% and postoperative length of stay (LOS) was 7 days (IQR: 4-18 days), with significant increases in both mortality and postoperative LOS from low to high RACHS-2 scores by multivariable analysis, Kaplan-Meier, and Cox regression. Mechanical ventilation, extracorporeal membrane oxygenation, infection, and surgical complication were most significantly associated with increased mortality by 1.198 to 10.227 times (P < 0.008). After controlling for these significant variables as well as RACHS-2, age at surgery and emergency/urgent admission type, multivariable analysis revealed that non-White race was associated with increased mortality (relative risk: 1.2, 95% CI: 0.729-0.955, P = 0.008) and increased postoperative LOS by 1.04 days (95% CI: 0.95-0.97, P < 0.001). This significant increase in both clinical outcomes was concordant in non-White neonates (mortality relative risk: 1.3, 95% CI: 1.1-1.6, P = 0.003; and postoperative LOS by 2.05 weeks (95% CI: 1.36-3.10, P < 0.001). Conclusions: The influence of racial differences in neonates and children should be further evaluated to mitigate any disparity in those undergoing cardiac surgery.

The Association Between Neutrophil-Lymphocyte Ratio and Variability with New-Onset Dementia: A Population-Based Cohort Study.

BACKGROUND: Previous studies identified that neutrophil-to-lymphocyte ratio (NLR) may be a predictor of dementia. However, the associations between NLR and dementia at the population level were less explored. OBJECTIVE: This retrospective population-based cohort study was designed to identify the associations between NLR and dementia among patients visiting for family medicine consultation in Hong Kong. METHODS: The patients were recruited from January 1, 2000, to December 31, 2003, and followed up until December 31, 2019. The demographics, prior comorbidities, medications, and laboratory results were collected. The primary outcomes were Alzheimer's disease and related dementia and non-Alzheimer's dementia. Cox regression and restricted cubic spline were applied to identify associations between NLR and dementia. RESULTS: A cohort of 9,760 patients (male: 41.08% ; baseline age median: 70.2; median follow-up duration: 4756.5 days) with complete NLR were included. Multivariable Cox regression identified that patients with NLR >5.44 had higher risks of developing Alzheimer's disease and related dementia (hazard ratio [HR]: 1.50, 95% Confidence interval [CI]: 1.17-1.93) but not non-Alzheimer's dementia (HR: 1.33; 95% CI: 0.60-2.95). The restricted cubic splines demonstrated that higher NLR was associated with Alzheimer's disease and related dementia. The relationship between the NLR variability and dementia was also explored; of all the NLR variability measures, only the coefficient of variation was predictive of non-Alzheimer's dementia (HR: 4.93; 95% CI: 1.03-23.61). CONCLUSION: In this population-based cohort, the baseline NLR predicts the risks of developing dementia. Utilizing the baseline NLR during family medicine consultation may help predict the risks of dementia.

Magnetically assisted drop-on-demand 3D printing of microstructured multimaterial composites.

Microstructured composites with hierarchically arranged fillers fabricated by three-dimensional (3D) printing show enhanced properties along the fillers' alignment direction. However, it is still challenging to achieve good control of the filler arrangement and high filler concentration simultaneously, which limits the printed material's properties. In this study, we develop a magnetically assisted drop-on-demand 3D printing technique (MDOD) to print aligned microplatelet reinforced composites. By performing drop-on-demand printing using aqueous slurry inks while applying an external magnetic field, MDOD can print composites with microplatelet fillers aligned at set angles with high filler concentrations up to 50 vol%. Moreover, MDOD allows multimaterial printing with voxelated control. We showcase the capabilities of MDOD by printing multimaterial piezoresistive sensors with tunable performances based on the local microstructure and composition. MDOD thus creates a large design space to enhance the mechanical and functional properties of 3D printed electronic or sensing devices using a wide range of materials.