Noninvasive Ventilation for Preoxygenation during Emergency Intubation.

BACKGROUND: Among critically ill adults undergoing tracheal intubation, hypoxemia increases the risk of cardiac arrest and death. The effect of preoxygenation with noninvasive ventilation, as compared with preoxygenation with an oxygen mask, on the incidence of hypoxemia during tracheal intubation is uncertain. METHODS: In a multicenter, randomized trial conducted at 24 emergency departments and intensive care units in the United States, we randomly assigned critically ill adults (age, ≥18 years) undergoing tracheal intubation to receive preoxygenation with either noninvasive ventilation or an oxygen mask. The primary outcome was hypoxemia during intubation, defined by an oxygen saturation of less than 85% during the interval between induction of anesthesia and 2 minutes after tracheal intubation. RESULTS: Among the 1301 patients enrolled, hypoxemia occurred in 57 of 624 patients (9.1%) in the noninvasive-ventilation group and in 118 of 637 patients (18.5%) in the oxygen-mask group (difference, -9.4 percentage points; 95% confidence interval [CI], -13.2 to -5.6; P<0.001). Cardiac arrest occurred in 1 patient (0.2%) in the noninvasive-ventilation group and in 7 patients (1.1%) in the oxygen-mask group (difference, -0.9 percentage points; 95% CI, -1.8 to -0.1). Aspiration occurred in 6 patients (0.9%) in the noninvasive-ventilation group and in 9 patients (1.4%) in the oxygen-mask group (difference, -0.4 percentage points; 95% CI, -1.6 to 0.7). CONCLUSIONS: Among critically ill adults undergoing tracheal intubation, preoxygenation with noninvasive ventilation resulted in a lower incidence of hypoxemia during intubation than preoxygenation with an oxygen mask. (Funded by the U.S. Department of Defense; PREOXI ClinicalTrials.gov number, NCT05267652.).

Voltage-gated sodium channel activity mediates sea urchin larval skeletal patterning through spatial regulation of Wnt5 expression.

Defining pattern formation mechanisms during embryonic development is important for understanding the etiology of birth defects and to inform tissue engineering approaches. In this study, we used tricaine, a voltage-gated sodium channel (VGSC) inhibitor, to show that VGSC activity is required for normal skeletal patterning in Lytechinus variegatus sea urchin larvae. We demonstrate that tricaine-mediated patterning defects are rescued by an anesthetic-insensitive version of the VGSC LvScn5a. Expression of this channel is enriched in the ventrolateral ectoderm, where it spatially overlaps with posterolaterally expressed Wnt5. We show that VGSC activity is required to spatially restrict Wnt5 expression to this ectodermal region that is adjacent and instructive to clusters of primary mesenchymal cells that initiate secretion of the larval skeleton as triradiates. Tricaine-mediated Wnt5 spatial expansion correlates with the formation of ectopic PMC clusters and triradiates. These defects are rescued by Wnt5 knockdown, indicating that the spatial expansion of Wnt5 is responsible for the patterning defects induced by VGSC inhibition. These results demonstrate a previously unreported connection between bioelectrical status and the spatial control of patterning cue expression during embryonic pattern formation.

Nanopores map the acid-base properties of a single site in a single DNA molecule.

Nanopores are increasingly powerful tools for single molecule sensing, in particular, for sequencing DNA, RNA and peptides. This success has spurred efforts to sequence non-canonical nucleic acid bases and amino acids. While canonical DNA and RNA bases have pKas far from neutral, certain non-canonical bases, natural RNA modifications, and amino acids are known to have pKas near neutral pHs at which nanopore sequencing is typically performed. Previous reports have suggested that the nanopore signal may be sensitive to the protonation state of an individual moiety. We sequenced ion currents with the MspA nanopore using a single stranded DNA containing a single non-canonical DNA base (Z) at various pH conditions. The Z-base has a near-neutral pKa ∼ 7.8. We find that the measured ion current is remarkably sensitive to the protonation state of the Z-base. We demonstrate how nanopores can be used to localize and determine the pKa of individual moieties along a polymer. More broadly, these experiments provide a path to mapping different protonation sites along polymers and give insight in how to optimize sequencing of polymers that contain moieties with near-neutral pKas.

Somnotate: A probabilistic sleep stage classifier for studying vigilance state transitions.

Electrophysiological recordings from freely behaving animals are a widespread and powerful mode of investigation in sleep research. These recordings generate large amounts of data that require sleep stage annotation (polysomnography), in which the data is parcellated according to three vigilance states: awake, rapid eye movement (REM) sleep, and non-REM (NREM) sleep. Manual and current computational annotation methods ignore intermediate states because the classification features become ambiguous, even though intermediate states contain important information regarding vigilance state dynamics. To address this problem, we have developed "Somnotate"-a probabilistic classifier based on a combination of linear discriminant analysis (LDA) with a hidden Markov model (HMM). First we demonstrate that Somnotate sets new standards in polysomnography, exhibiting annotation accuracies that exceed human experts on mouse electrophysiological data, remarkable robustness to errors in the training data, compatibility with different recording configurations, and an ability to maintain high accuracy during experimental interventions. However, the key feature of Somnotate is that it quantifies and reports the certainty of its annotations. We leverage this feature to reveal that many intermediate vigilance states cluster around state transitions, whereas others correspond to failed attempts to transition. This enables us to show for the first time that the success rates of different types of transition are differentially affected by experimental manipulations and can explain previously observed sleep patterns. Somnotate is open-source and has the potential to both facilitate the study of sleep stage transitions and offer new insights into the mechanisms underlying sleep-wake dynamics.

Hospitalization Rates in Interstitial Lung Disease: An Analysis of the Pulmonary Fibrosis Foundation Registry.

Rationale: Little is known about hospitalization in other types of interstitial lung disease (ILD) besides idiopathic pulmonary fibrosis (IPF). Objectives: To determine the frequency of hospitalizations in various types of ILD and elucidate the association of hospitalization with outcomes. Methods: An analysis of the Pulmonary Fibrosis Foundation Patient Registry data was performed. Inpatient hospitalization rates and survival posthospitalization were compared for various types of ILD. Measurements and Main Results: Hospitalization rates were similar across ILD types: 40.6% of participants with IPF, 42.8% of participants with connective tissue disease-related ILD (CTD-ILD), 44.9% of participants with non-IPF idiopathic interstitial pneumonia (IIP), 46.5% of participants with chronic hypersensitivity pneumonitis (CHP), and 53.3% of participants with "other" ILD. All-cause hospitalization was not associated with decreased transplant-free survival (adjusted hazard ratio [AHR], 1.20; 95% confidence interval [CI] = 0.98, 1.46; P = 0.0759) after adjusting for comorbidities and severity of illness; however, respiratory-related hospitalization was (AHR, 1.53; 95% CI = 1.23, 1.90; P = 0.0001). Participants with CTD-ILD (HR, 0.43; 95% CI = 0.25, 0.75; P = 0.0031) and non-IPF IIP (HR, 0.3; 95% CI = 0.15, 0.58; P = 0.005) had a lower risk of death posthospitalization compared with those with IPF, whereas those with chronic hypersensitivity pneumonitis (HR, 0.67; 95% CI = 0.37, 1.20; P = 0.1747) or other ILD (HR, 0.54; 95% CI = 0.19, 1.54; P = 0.25) had a risk comparable with that for IPF. Conclusions: Rates of hospitalization are similar across ILD subtypes. The risk of death or transplant after posthospitalization is lower in patients with CTD-ILD and non-IPF IIP, compared with patients with IPF. In a mixed population of participants with ILD, all-cause hospitalizations were not associated with decreased transplant-free survival; however respiratory-related hospitalizations were.

Observing inhibition of the SARS-CoV-2 helicase at single-nucleotide resolution.

The genome of SARS-CoV-2 encodes for a helicase (nsp13) that is essential for viral replication and highly conserved across related viruses, making it an attractive antiviral target. Here we use nanopore tweezers, a high-resolution single-molecule technique, to gain detailed insight into how nsp13 turns ATP-hydrolysis into directed motion along nucleic acid strands. We measured nsp13 both as it translocates along single-stranded DNA or unwinds double-stranded DNA. Our data reveal nsp13's single-nucleotide steps, translocating at ∼1000 nt/s or unwinding at ∼100 bp/s. Nanopore tweezers' high spatiotemporal resolution enables detailed kinetic analysis of nsp13 motion. As a proof-of-principle for inhibition studies, we observed nsp13's motion in the presence of the ATPase inhibitor ATPγS. We construct a detailed picture of inhibition in which ATPγS has multiple mechanisms of inhibition. The dominant mechanism of inhibition depends on the application of assisting force. This lays the groundwork for future single-molecule inhibition studies with viral helicases.

Cell-type-specific metabolism in plants.

Every plant organ contains tens of different cell types, each with a specialized function. These functions are intrinsically associated with specific metabolic flux distributions that permit the synthesis of the ATP, reducing equivalents and biosynthetic precursors demanded by the cell. Investigating such cell-type-specific metabolism is complicated by the mosaic of different cells within each tissue combined with the relative scarcity of certain types. However, techniques for the isolation of specific cells, their analysis in situ by microscopy, or modeling of their function in silico have permitted insight into cell-type-specific metabolism. In this review we present some of the methods used in the analysis of cell-type-specific metabolism before describing what we know about metabolism in several cell types that have been studied in depth; (i) leaf source and sink cells; (ii) glandular trichomes that are capable of rapid synthesis of specialized metabolites; (iii) guard cells that must accumulate large quantities of the osmolytes needed for stomatal opening; (iv) cells of seeds involved in storage of reserves; and (v) the mesophyll and bundle sheath cells of C4 plants that participate in a CO2 concentrating cycle. Metabolism is discussed in terms of its principal features, connection to cell function and what factors affect the flux distribution. Demand for precursors and energy, availability of substrates and suppression of deleterious processes are identified as key factors in shaping cell-type-specific metabolism.

Ablation of oligodendrogenesis in adult mice alters brain microstructure and activity independently of behavioral deficits.

Oligodendrocytes continue to differentiate from their precursor cells even in adulthood, a process that can be modulated by neuronal activity and experience. Previous work has indicated that conditional ablation of oligodendrogenesis in adult mice leads to learning and memory deficits in a range of behavioral tasks. The current study replicated and re-evaluated evidence for a role of oligodendrogenesis in motor learning, using a complex running wheel task. Further, we found that ablating oligodendrogenesis alters brain microstructure (ex vivo MRI) and brain activity (in vivo EEG) independent of experience with the task. This suggests a role for adult oligodendrocyte formation in the maintenance of brain function and indicates that task-independent changes due to oligodendrogenesis ablation need to be considered when interpreting learning and memory deficits in this model.

Treatment of locally advanced pancreatic cancer using localized trans-arterial micro perfusion of gemcitabine: combined analysis of RR1 and RR2.

BACKGROUND: Locally advanced pancreatic cancer (LAPC) comprises 40% of pancreatic cancer diagnoses and has a relatively poor prognosis. Trans-arterial micro perfusion (TAMP)-mediated chemotherapy delivery to the primary tumor is a novel approach worthy of investigation. The RR1 (dose escalation) and RR2 (observational) studies examined the safety and preliminary efficacy of TAMP-delivered gemcitabine for LAPC. PATIENTS AND METHODS: RR1 and RR2 data were pooled. Both studies enrolled patients with LAPC with histologically confirmed adenocarcinoma. Participant data, including age, sex, race, stage, previous treatments, toxicity, disease progression, and death, were collected. Median number of cycles and average treatment dosage were calculated. Overall survival (OS) was determined for the whole group and separately for patients who received and did not receive previous treatments. Aims of the analysis were to assess procedure safety, OS, and evaluate factors associated with OS. RESULTS: The median age of the 43 patients enrolled in RR1 and RR2 was 72 years (range, 51-88 years). Median OS for the 35 eligible patients with stage III disease was 12.6 months (95% CI, 2.1-54.2 months). Previous chemoradiation was associated with significantly longer OS [27.1 months (95% CI, 8.4-40.6 months)] compared to previous systemic chemotherapy [14.6 months (95% CI, 6.4-54.2 months)] or no prior treatment [7.0 months (95% CI, 2.1-35.4 months)] (P < .001). The most common adverse events were GI related (abdominal pain, emesis, and vomiting); the most common grade 3 toxicity was sepsis. CONCLUSION: Study results indicate that TAMP-mediated gemcitabine delivery in patients with LAPC is potentially safe, feasible, and provides potential clinical benefits. CLINICAL TRIAL REGISTRATION: NCT02237157 (RR1) and NCT02591082 (RR2).

ICAT: a novel algorithm to robustly identify cell states following perturbations in single-cell transcriptomes.

MOTIVATION: The detection of distinct cellular identities is central to the analysis of single-cell RNA sequencing (scRNA-seq) experiments. However, in perturbation experiments, current methods typically fail to correctly match cell states between conditions or erroneously remove population substructure. Here, we present the novel, unsupervised algorithm Identify Cell states Across Treatments (ICAT) that employs self-supervised feature weighting and control-guided clustering to accurately resolve cell states across heterogeneous conditions. RESULTS: Using simulated and real datasets, we show ICAT is superior in identifying and resolving cell states compared with current integration workflows. While requiring no a priori knowledge of extant cell states or discriminatory marker genes, ICAT is robust to low signal strength, high perturbation severity, and disparate cell type proportions. We empirically validate ICAT in a developmental model and find that only ICAT identifies a perturbation-unique cellular response. Taken together, our results demonstrate that ICAT offers a significant improvement in defining cellular responses to perturbation in scRNA-seq data. AVAILABILITY AND IMPLEMENTATION: https://github.com/BradhamLab/icat.