Nuclear corepressors NCOR1/NCOR2 regulate B cell development, maintain genomic integrity and prevent transformation.

The nuclear corepressors NCOR1 and NCOR2 interact with transcription factors involved in B cell development and potentially link these factors to alterations in chromatin structure and gene expression. Herein, we demonstrate that Ncor1/2 deletion limits B cell differentiation via impaired recombination, attenuates pre-BCR signaling and enhances STAT5-dependent transcription. Furthermore, NCOR1/2-deficient B cells exhibited derepression of EZH2-repressed gene modules, including the p53 pathway. These alterations resulted in aberrant Rag1 and Rag2 expression and accessibility. Whole-genome sequencing of Ncor1/2 DKO B cells identified increased number of structural variants with cryptic recombination signal sequences. Finally, deletion of Ncor1 alleles in mice facilitated leukemic transformation, whereas human leukemias with less NCOR1 correlated with worse survival. NCOR1/2 mutations in human leukemia correlated with increased RAG expression and number of structural variants. These studies illuminate how the corepressors NCOR1/2 regulate B cell differentiation and provide insights into how NCOR1/2 mutations may promote B cell transformation.

Engagement of the costimulatory molecule ICOS in tissues promotes establishment of CD8+ tissue-resident memory T cells.

Elevated gene expression of the costimulatory receptor Icos is a hallmark of CD8+ tissue-resident memory (Trm) T cells. Here, we examined the contribution of ICOS in Trm cell differentiation. Upon transfer into WT mice, Icos-/- CD8+ T cells exhibited defective Trm generation but produced recirculating memory populations normally. ICOS deficiency or ICOS-L blockade compromised establishment of CD8+ Trm cells but not their maintenance. ICOS ligation during CD8+ T cell priming did not determine Trm induction; rather, effector CD8+ T cells showed reduced Trm differentiation after seeding into Icosl-/- mice. IcosYF/YF CD8+ T cells were compromised in Trm generation, indicating a critical role for PI3K signaling. Modest transcriptional changes in the few Icos-/- Trm cells suggest that ICOS-PI3K signaling primarily enhances the efficiency of CD8+ T cell tissue residency. Thus, local ICOS signaling promotes production of Trm cells, providing insight into the contribution of costimulatory signals in the generation of tissue-resident populations.

Streamlined spatial and environmental expression signatures characterize the minimalist duckweed Wolffia australiana.

Single-cell genomics permits a new resolution in the examination of molecular and cellular dynamics, allowing global, parallel assessments of cell types and cellular behaviors through development and in response to environmental circumstances, such as interaction with water and the light-dark cycle of the Earth. Here, we leverage the smallest, and possibly most structurally reduced plant, the semi-aquatic Wolffia australiana to understand dynamics of cell expression in these contexts at the whole plant level. We examined single cell resolution RNA sequencing data, and found Wolffia cells divide into four principal clusters representing the above and below water-situated parenchyma and epidermis. While these tissues share transcriptomic similarity with model plants, they display distinct adaptations that Wolffia has made for the aquatic environment. Within this broad classification, discrete subspecializations are evident with select cells showing unique transcriptomic signatures associated with developmental maturation and specialized physiologies. Assessing this simplified biological system temporally at two key time-of-day (TOD) transitions, we identify additional TOD-responsive genes previously overlooked in whole plant transcriptomic approaches and demonstrate that the core circadian clock machinery and its downstream responses can vary in cell-specific manners, even in this simplified system. Distinctions between cell types and their responses to submergence and/or TOD are driven by expression changes of unexpectedly few genes, characterizing Wolffia as a highly streamlined organism with the majority of genes dedicated to fundamental cellular processes. Wolffia provides a unique opportunity to apply reductionist biology to elucidate signaling functions at the organismal level, for which this work provides a powerful resource.

Machine learning based DNA melt curve profiling enables automated novel genotype detection.

Surveillance for genetic variation of microbial pathogens, both within and among species, plays an important role in informing research, diagnostic, prevention, and treatment activities for disease control. However, large-scale systematic screening for novel genotypes remains challenging in part due to technological limitations. Towards addressing this challenge, we present an advancement in universal microbial high resolution melting (HRM) analysis that is capable of accomplishing both known genotype identification and novel genotype detection. Specifically, this novel surveillance functionality is achieved through time-series modeling of sequence-defined HRM curves, which is uniquely enabled by the large-scale melt curve datasets generated using our high-throughput digital HRM platform. Taking the detection of bacterial genotypes as a model application, we demonstrate that our algorithms accomplish an overall classification accuracy over 99.7% and perform novelty detection with a sensitivity of 0.96, specificity of 0.96 and Youden index of 0.92. Since HRM-based DNA profiling is an inexpensive and rapid technique, our results add support for the feasibility of its use in surveillance applications.

Genetic Mapping, Identification, and Characterization of a Candidate Susceptibility Gene for Powdery Mildew in Cannabis sativa.

Powdery mildew (PM) in Cannabis sativa is most frequently caused by the biotrophic fungus Golovinomyces ambrosiae. Based on previously characterized variation in susceptibility to PM, biparental populations were developed by crossing the most resistant cultivar evaluated, 'FL 58', with a susceptible cultivar, 'TJ's CBD'. F1 progeny were evaluated and displayed a range of susceptibility, and two were self-pollinated to generate two F2 populations. In 2021, the F2 populations (n = 706) were inoculated with PM and surveyed for disease severity. In both F2 populations, 25% of the progeny were resistant, while the remaining 75% showed a range of susceptibility. The F2 populations, as well as selected F1 progeny and the parents, were genotyped with a single-nucleotide polymorphism array, and a consensus genetic map was produced. A major effect quantitative trait locus on C. sativa chromosome 1 (Chr01) and other smaller-effect quantitative trait loci (QTL) on four other chromosomes were identified. The most associated marker on Chr01 was located near CsMLO1, a candidate susceptibility gene. Genomic DNA and cDNA sequencing of CsMLO1 revealed a 6.8-kb insertion in FL 58, relative to TJ's CBD, of which 846 bp are typically spliced into the mRNA transcript encoding a premature stop codon. Molecular marker assays were developed using CsMLO1 sequences to distinguish PM-resistant and PM-susceptible genotypes. These data support the hypothesis that a mutated MLO susceptibility gene confers resistance to PM in C. sativa and provides new genetic resources to develop resistant cultivars. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Genome and time-of-day transcriptome of Wolffia australiana link morphological minimization with gene loss and less growth control.

Rootless plants in the genus Wolffia are some of the fastest growing known plants on Earth. Wolffia have a reduced body plan, primarily multiplying through a budding type of asexual reproduction. Here, we generated draft reference genomes for Wolffia australiana (Benth.) Hartog & Plas, which has the smallest genome size in the genus at 357 Mb and has a reduced set of predicted protein-coding genes at about 15,000. Comparison between multiple high-quality draft genome sequences from W. australiana clones confirmed loss of several hundred genes that are highly conserved among flowering plants, including genes involved in root developmental and light signaling pathways. Wolffia has also lost most of the conserved nucleotide-binding leucine-rich repeat (NLR) genes that are known to be involved in innate immunity, as well as those involved in terpene biosynthesis, while having a significant overrepresentation of genes in the sphingolipid pathways that may signify an alternative defense system. Diurnal expression analysis revealed that only 13% of Wolffia genes are expressed in a time-of-day (TOD) fashion, which is less than the typical ∼40% found in several model plants under the same condition. In contrast to the model plants Arabidopsis and rice, many of the pathways associated with multicellular and developmental processes are not under TOD control in W. australiana, where genes that cycle the conditions tested predominantly have carbon processing and chloroplast-related functions. The Wolffia genome and TOD expression data set thus provide insight into the interplay between a streamlined plant body plan and optimized growth.

PanKmer: k-mer-based and reference-free pangenome analysis.

SUMMARY: Pangenomes are replacing single reference genomes as the definitive representation of DNA sequence within a species or clade. Pangenome analysis predominantly leverages graph-based methods that require computationally intensive multiple genome alignments, do not scale to highly complex eukaryotic genomes, limit their scope to identifying structural variants (SVs), or incur bias by relying on a reference genome. Here, we present PanKmer, a toolkit designed for reference-free analysis of pangenome datasets consisting of dozens to thousands of individual genomes. PanKmer decomposes a set of input genomes into a table of observed k-mers and their presence-absence values in each genome. These are stored in an efficient k-mer index data format that encodes SNPs, INDELs, and SVs. It also includes functions for downstream analysis of the k-mer index, such as calculating sequence similarity statistics between individuals at whole-genome or local scales. For example, k-mers can be "anchored" in any individual genome to quantify sequence variability or conservation at a specific locus. This facilitates workflows with various biological applications, e.g. identifying cases of hybridization between plant species. PanKmer provides researchers with a valuable and convenient means to explore the full scope of genetic variation in a population, without reference bias. AVAILABILITY AND IMPLEMENTATION: PanKmer is implemented as a Python package with components written in Rust, released under a BSD license. The source code is available from the Python Package Index (PyPI) at https://pypi.org/project/pankmer/ as well as Gitlab at https://gitlab.com/salk-tm/pankmer. Full documentation is available at https://salk-tm.gitlab.io/pankmer/.

Combining nilotinib and PD-L1 blockade reverses CD4+ T-cell dysfunction and prevents relapse in acute B-cell leukemia.

Patients with acute lymphoblastic leukemia have experienced significantly improved outcomes due to the advent of chimeric antigen receptor (CAR) T cells and bispecific T-cell engagers, although a proportion of patients still relapse despite these advances. T-cell exhaustion has been recently suggested to be an important driver of relapse in these patients. Indeed, phenotypic exhaustion of CD4+ T cells is predictive of relapse and poor overall survival in B-cell acute lymphoblastic leukemia (B-ALL). Thus, therapies that counter T-cell exhaustion, such as immune checkpoint blockade, may improve leukemia immunosurveillance and prevent relapse. Here, we used a murine model of Ph+ B-ALL as well as human bone marrow biopsy samples to assess the fundamental nature of CD4+ T-cell exhaustion and the preclinical therapeutic potential for combining anti-PD-L1 based checkpoint blockade with tyrosine kinase inhibitors targeting the BCR-ABL oncoprotein. Single-cell RNA-sequence analysis revealed that B-ALL induces a unique subset of CD4+ T cells with both cytotoxic and helper functions. Combination treatment with the tyrosine kinase inhibitor nilotinib and anti-PD-L1 dramatically improves long-term survival of leukemic mice. Depletion of CD4+ T cells prior to therapy completely abrogates the survival benefit, implicating CD4+ T cells as key drivers of the protective anti-leukemia immune response. Indeed, treatment with anti-PD-L1 leads to clonal expansion of leukemia-specific CD4+ T cells with the aforementioned helper/cytotoxic phenotype as well as reduced expression of exhaustion markers. These findings support efforts to use PD1/PD-L1 checkpoint blockade in clinical trials and highlight the importance of CD4+ T-cell dysfunction in limiting the endogenous anti-leukemia response.

Return of the Lemnaceae: duckweed as a model plant system in the genomics and postgenomics era.

The aquatic Lemnaceae family, commonly called duckweed, comprises some of the smallest and fastest growing angiosperms known on Earth. Their tiny size, rapid growth by clonal propagation, and facile uptake of labeled compounds from the media were attractive features that made them a well-known model for plant biology from 1950 to 1990. Interest in duckweed has steadily regained momentum over the past decade, driven in part by the growing need to identify alternative plants from traditional agricultural crops that can help tackle urgent societal challenges, such as climate change and rapid population expansion. Propelled by rapid advances in genomic technologies, recent studies with duckweed again highlight the potential of these small plants to enable discoveries in diverse fields from ecology to chronobiology. Building on established community resources, duckweed is reemerging as a platform to study plant processes at the systems level and to translate knowledge gained for field deployment to address some of society's pressing needs. This review details the anatomy, development, physiology, and molecular characteristics of the Lemnaceae to introduce them to the broader plant research community. We highlight recent research enabled by Lemnaceae to demonstrate how these plants can be used for quantitative studies of complex processes and for revealing potentially novel strategies in plant defense and genome maintenance.

Population assessment of health system performance in 16 countries.

Objective: To demonstrate how the new internationally comparable instrument, the People's Voice Survey, can be used to contribute the perspective of the population in assessing health system performance in countries of all levels of income. Methods: We surveyed representative samples of populations in 16 low-, middle- and high-income countries on health-care utilization, experience and confidence during 2022-2023. We summarized and visualized data corresponding to the key domains of the World Health Organization universal health coverage framework for health system performance assessment. We examined correlation with per capita health spending by calculating Pearson coefficients, and within-country income-based inequities using the slope index of inequality. Findings: In the domain of care effectiveness, we found major gaps in health screenings and endorsement of public primary care. Only one in three respondents reported very good user experience during health visits, with lower proportions in low-income countries. Access to health care was rated highest of all domains; however, only half of the populations felt secure that they could access and afford high-quality care if they became ill. Populations rated the quality of private health systems higher than that of public health systems in most countries. Only half of respondents felt involved in decision-making (less in high-income countries). Within countries, we found statistically significant pro-rich inequalities across many indicators. Conclusion: Populations can provide vital information about the real-world function of health systems, complementing other system performance metrics. Population-wide surveys such as the People's Voice Survey should become part of regular health system performance assessments.

Comparison of nine extraction methods for bacterial identification using the ONT MinION sequencer.

The Anthrax mailings bioterrorism attack in 2001 revealed the need for universal and rapid microbial forensic analyses on unknown biological evidence. However, the gold standard for bacterial identification includes culturing isolates, which is laborious. Molecular approaches for bacterial identification revolve around 16S ribosomal gene sequencing using Sanger or next generation sequencing (NGS) platforms, but these techniques are laboratory-based and can also be time-consuming. The Oxford Nanopore Technologies (ONT) MinION sequencer can generate long read lengths that span the entire bacterial 16S rRNA gene and accurately identify the species level. This platform can be used in the field, allowing on-site evidence analysis. However, it requires higher quantities of pure DNA compared to other sequencing platforms; thus, the extraction method for bacterial DNA is critical for downstream analysis, which to date are tailored toward a priori knowledge of the species' taxonomic grouping. During an attack, the investigative team may not know what species they are handling; therefore, identifying an extraction method that can handle all bacterial groups and generate clean DNA for the MinION is useful for microbial forensic analysis. The purpose of this study was to identify a "universal" extraction method that can be coupled with ONT MinION sequencing for use in forensic situations for rapid identification. It also evaluated the cloud-based data analysis software provided by ONT, EPI2ME. No "universal" extraction method was identified as optimal for downstream MinION sequencing. However, the DNeasy PowerSoil Kit and Noda et al. Chelex-100 method gave comparable sequencing results and could be used as rapid extraction techniques. This study showed that the ONT 16S Barcoding Kit 1-24 coupled with the 16S FASTQ workflow might not be the best for use in forensic situations where species-level identification needs to be obtained, as most alignments were approximately 89% accurate. In all seven test organisms and nine extraction methods, accurate species identification was only obtained in 63% of the cases.

Receptor for hyaluronan-mediated motility (RHAMM) defines an invasive niche associated with tumor progression and predicts poor outcomes in breast cancer patients.

Breast cancer invasion and metastasis result from a complex interplay between tumor cells and the tumor microenvironment (TME). Key oncogenic changes in the TME include aberrant synthesis, processing, and signaling of hyaluronan (HA). Hyaluronan-mediated motility receptor (RHAMM, CD168; HMMR) is an HA receptor enabling tumor cells to sense and respond to this aberrant TME during breast cancer progression. Previous studies have associated RHAMM expression with breast tumor progression; however, cause and effect mechanisms are incompletely established. Focused gene expression analysis of an internal breast cancer patient cohort confirmed that increased RHAMM expression correlates with aggressive clinicopathological features. To probe mechanisms, we developed a novel 27-gene RHAMM-related signature (RRS) by intersecting differentially expressed genes in lymph node (LN)-positive patient cases with the transcriptome of a RHAMM-dependent model of cell transformation, which we validated in an independent cohort. We demonstrate that the RRS predicts for poor survival and is enriched for cell cycle and TME-interaction pathways. Further analyses using CRISPR/Cas9-generated RHAMM-/- breast cancer cells provided direct evidence that RHAMM promotes invasion in vitro and in vivo. Immunohistochemistry studies highlighted heterogeneous RHAMM protein expression, and spatial transcriptomics associated the RRS with RHAMM-high microanatomic foci. We conclude that RHAMM upregulation leads to the formation of 'invasive niches', which are enriched in RRS-related pathways that drive invasion and could be targeted to limit invasive progression and improve patient outcomes. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Feasibility of text message follow-up for pediatric asthma care after an emergency department visit.

Background: Many children seen in the Emergency Department (ED) for asthma do not follow-up with their primary care provider. Text messaging via short message service (SMS) is a ubiquitous, but untested means of providing post-ED asthma follow-up care.Objective: To evaluate responses to an asthma assessment survey via SMS following an ED visit and estimate the likelihood of response by sociodemographic and clinical characteristics. Methods: We recruited 173 parents of children 2-17 years-old presenting for ED asthma care to receive a follow-up text (participation rate: 85%). One month later, parents received via SMS a 22-item survey that assessed asthma morbidity. We assessed response rates overall and by various sociodemographic and clinical characteristics, including age, parental education, and indicators of asthma severity.Results: Overall, 55% of parents (n = 95) responded to the SMS survey. In multivariable logistic regression (MLR), parents who graduated high school had a four-fold higher response rate compared to parents with less than a high school degree (OR: 4.05 (1.62, 10.13)). More parents of children with oral steroid use in the prior 12 months responded to survey items (OR: 2.53 (1.2, 5.31)). Reported asthma characteristics included: 48% uncontrolled, 22% unimproved/worse, 21% with sleep disruption, and 10% who were hospitalized for asthma.Conclusions: Text messaging may be a viable strategy to improve post-ED asthma assessment and to identify children with persistent symptoms in need of enhanced care or modification of care plans.

SIMPEDVR: using VR in teaching pediatric emergencies to undergraduate students-a pilot study.

The objective of this work was to provide pilot data on feasibility of using virtual reality (VR) to train undergraduate students in pediatric emergency scenarios. We staged VR sessions for a total of 45 medical and nursing students; in every session, each student managed two pediatric emergency virtual scenarios. At the end of the sessions, students completed a Technology Assessment Questionnaire to evaluate the perceived usefulness and perceived ease-of-use of their VR training experience and rated their perceived level of competence in managing the two clinical scenarios. The median perceived usefulness was 91.7/100 (interquartile range (IQR) 80.6-100), while the median perceived ease-of-use was 77.8/100 (IQR 63.9-88.9). The perceived level of competence increased from 2 (IQR 1-3) to 4 (IQR 3-4) on a 5-point Likert scale, for both scenarios (p < 0.001, Wilcoxon test for paired samples).       Conclusions: The staged VR sessions had a good perceived usefulness and resulted in an increase in the perceived level of competence. The results on the ease-of-use, however, show that an assumption that millennials and younger students can navigate with confidence VR hardware in a healthcare training setting should not be made; further work is required to ease the integration of VR into curricula. What is Known: • Virtual reality (VR) is a rising simulation training methodology in Pediatric Emergency Medicine (PEM), however little experience is reported about its use for undergraduate students What is New: • VR PEM trainiing was found useful by undergraduate students and its use increased their perceived level of competence, although ease-of-use received lower ratings. • Despite the young age, an assumption that millennials and younger students can navigate with confidence VR hardware in a healthcare training setting should not be made.

Aerosol Box Use in Reducing Health Care Worker Contamination During Airway Procedures (AIRWAY) Study: Secondary Workload and Provider Outcomes in a Simulation-Based Trial.

OBJECTIVES: An aerosol box aims to reduce the risk of healthcare provider (HCP) exposure to infections during aerosol generating medical procedures (AGMPs), but little is known about its impact on workload of team members. We conducted a secondary analysis of data from a prospective, multicenter, randomized controlled trial evaluating the impact of aerosol box use on patterns of HCP contamination during AGMPs. The objectives of this study are to: 1) evaluate the effect of aerosol box use on HCP workload, 2) identify factors associated with HCP workload when using an aerosol box, and 3) describe the challenges perceived by HCPs of aerosol box use. DESIGN: Simulation-based randomized trial, conducted from May to December 2021. SETTING: Four pediatric simulation centers. SUBJECTS: Teams of two HCPs were randomly assigned to control (no aerosol box) or intervention groups (aerosol box). INTERVENTIONS: Each team performed three scenarios requiring different pediatric airway management (bag-valve-mask [BVM] ventilation, laryngeal mask airway [LMA] insertion, and endotracheal intubation [ETI] with video laryngoscopy) on a simulated COVID-19 patient. National Aeronautics and Space Administration-Task Load Index (NASA-TLX) is a standard tool that measures subjective workload with six subscales. MEASUREMENTS AND MAIN RESULTS: A total of 64 teams (128 participants) were recruited. The use of aerosol box was associated with significantly higher frustration during LMA insertion (28.71 vs. 17.42; mean difference, 11.29; 95% CI, 0.92-21.66; p = 0.033). For ETI, there was a significant increase in most subscales in the intervention group, but there was no significant difference for BMV. Average NASA-TLX scores were all in the "low" range for both groups (range: control BVM 23.06, sd 13.91 to intervention ETI 38.15; sd 20.45). The effect of provider role on workloads was statistically significant only for physical demand (p = 0.001). As the complexity of procedure increased (BVM → LMA → ETI), the workload increased in all six subscales (p < 0.05). CONCLUSIONS: The use of aerosol box increased workload during ETI but not with BVM and LMA insertion. Overall workload scores remained in the "low" range, and there was no significant difference between airway provider and assistant.

Suctioning in the management of bronchiolitis: A prospective observational study.

BACKGROUND: Bronchiolitis accounts for a considerable number of Emergency Department (ED) visits by infants each year and is the leading cause of respiratory infection in children 2 years of age and younger. Suctioning remains one of the main supportive treatments, but suctioning practices of nasal aspiration and deep suctioning vary among practitioners in bronchiolitis management. Our objective was to explore associations between suction type and respiratory distress, oxygen saturation, and markers of respiratory compromise such as airway escalation, disposition, ED length of stay (LOS), and outpatient outcomes. METHODS: This was a prospective observational study on infants (aged 2-23 months) in a pediatric ED with bronchiolitis from September 2022 to April 2023. Infants with tracheostomies, muscular weakness, and non-invasive positive pressure ventilation were excluded. Infants were grouped into nasal aspiration, deep suctioning, or combination groups. Mean differences in respiratory scores (primary outcome) and oxygen saturation were measured at three timepoints: pre-suction, 30 and 60 min post-suction. Escalation to airway adjuncts, disposition, and ED LOS were also recorded. Discharged families were contacted for phone call interviews. RESULTS: Of 121 enrolled infants (nasal aspiration n = 31, deep suctioning n = 68, combination n = 22), 48% (n = 58) were discharged, and 90% (n = 52) completed the study call. There was no interaction between suction type and timepoint (p = 0.63) and no effect between suction type and respiratory score (p = 0.38). However, timepoint did have an effect on respiratory score between 0 and 30 min post-suction (p = 0.01) and between 0 and 60 min post-suction (p < 0.001). Admitted infants received more deep suctioning or a combination of suctioning compared to those discharged (p = 0.005). Suction type had no effect on oxygen saturation, airway adjunct escalation, length of stay, or outpatient outcomes (p > 0.11). CONCLUSIONS: There was no difference in respiratory scores or outpatient outcomes between suction types. Deep suctioning may not be needed in all infants with bronchiolitis.

Primary lymphoma of bone of the little finger: a case report and review of the literature.

Primary lymphoma of bone (PLB) is a rare, malignant lymphoid proliferation within bone accounting for less than 3% of all malignant bone tumors. In this case report, a 61-year-old female with past medical history of gout presented with pain and swelling in her right little finger. Initial radiographs demonstrated periostitis and soft tissue swelling about the right little finger. She returned three months later with progressive pain. Subsequent MRI and repeat radiographs demonstrated near complete destruction of the right little finger middle phalanx and periostitis with marrow infiltration at the right long finger. Given the rapid progression of disease, the differential diagnosis consisted primarily of aggressive neoplastic processes. The little finger ray was amputated through the level of the metacarpophalangeal joint and histopathology demonstrated large neoplastic cells that stained positive with CD45, CD20, and PAX5, compatible with diffuse large B-cell lymphoma. A subsequent normal bone marrow aspiration and PET-CT demonstrated no additional sites of disease, thus excluding secondary lymphoma to bone. To the best of our knowledge, this is the first case report of polyostotic PLB involving the hand. PLB of the hands may be initially misdiagnosed due to its rarity and clinical presentation mimicking rheumatological disease. Clinical vigilance in concert with close imaging follow-up is required to make the diagnosis in a timely fashion. We also review the existing PLB hand literature which consists of five cases.

Lee's "Transmembrane Electrostatically-Localized Proton" model does NOT offer a better understanding of neuronal transmembrane potentials.

Recently, in a paper entitled "Protonic conductor: Better understanding [sic] neural resting and action potential," Lee applied his Transmembrane Electrostatically-Localized Protons (TELP) hypothesis to neuronal signaling. He stated that Hodgkin's cable theory "could not fully explain the different conductive patterns in unmyelinated and myelinated nerves," whereas his TELP hypothesis "enables much better understanding of neural resting/action potential and [the biological significance of] axon myelination…" However, Lee's TELP hypothesis predicts that under resting conditions, the neuron "accumulat[es] excess negative charge (anions) inside," whereas resting chloride gradients actually feature excess Cl- outside of the cell. Experiments on the neuron have shown that raising external [K+] and decreasing external [Cl-] cause membrane potential depolarization, which is predicted by the Goldman equation, but opposite to TELP hypothesis predictions. Finally, based on his TELP hypothesis, Lee predicted that the main purpose of myelin is to insulate the axonal plasma membrane specifically against proton permeability. However, he cited literature showing that myelin contains proteins that may "serve as a proton conductor with the localized protons." Thus, we show here that Lee's TELP hypothesis is highly problematic, and does NOT offer a "better understanding" of neuronal transmembrane potentials.NEW & NOTEWORTHY In this manuscript I critique a 2020 J. Neurophysiol. paper by James W. Lee. His TELP hypothesis 1) mispredicts the resting neuron's excess of external chloride; 2) predicts the preponderance of surface H+ over Na+ using ΔG° rather than ΔG; 3) mispredicts the dependence of the neuronal resting potential on external [Na+], [K+], and [Cl-]; 4) neither cites experimental results nor proposes experiments to test his hypothesis; and 5) presents a problematic characterization of the purpose of myelin.

Measuring people's views on health system performance: Design and development of the People's Voice Survey.

Todd Lewis and co-authors discuss development and use of the People's Voice Survey for health system assessment.

Improving health and social systems for all children in LMICs: structural innovations to deliver high-quality services.

Despite health gains over the past 30 years, children and adolescents are not reaching their health potential in many low-income and middle-income countries (LMICs). In addition to health systems, social systems, such as schools, communities, families, and digital platforms, can be used to promote health. We did a targeted literature review of how well health and social systems are meeting the needs of children in LMICs using the framework of The Lancet Global Health Commission on high-quality health systems and we reviewed evidence for structural reforms in health and social sectors. We found that quality of services for children is substandard across both health and social systems. Health systems have deficits in care competence (eg, diagnosis and management), system competence (eg, timeliness, continuity, and referral), user experience (eg, respect and usability), service provision for common and serious conditions (eg, cancer, trauma, and mental health), and service offerings for adolescents. Education and social services for child health are limited by low funding and poor coordination with other sectors. Structural reforms are more likely to improve service quality substantially and at scale than are micro-level efforts. Promising approaches include governing for quality (eg, leadership, expert management, and learning systems), redesigning service delivery to maximise outcomes, and empowering families to better care for children and to demand quality care from health and social systems. Additional research is needed on health needs across the life course, health system performance for children and families, and large-scale evaluation of promising health and social programmes.