Griffithgarcia5471

uals with ASD is affected by study-site location as well as gastrointestinal symptom severity. When we sampled some individuals with ASD at several different time points, we found that some behaviors, such as lethargy/social withdrawal and inappropriate speech, changed along with changes in the gut microbiota composition. This is the first study to relate severity of behavior symptoms to gut microbiome composition within individuals over time and suggests a dynamic relationship between ASD-associated symptoms and gut microbes. Longitudinal study designs as well as collaborative efforts across multiple centers are needed to fully characterize the relationship between ASD and gut microbes.Symbioses between hosts and beneficial microbes are key drivers of biological innovation and diversity. While a range of systems have emerged that provide foundational insights into how symbioses function and evolve, we still have a limited understanding of the vast diversity of organisms that engage in such interactions. Recent advances in molecular tools, theory, and interdisciplinary approaches now permit researchers to expand our knowledge and to press forward the frontiers of symbiosis research. As described in a recent issue of mSystems, Myers and colleagues (K. N. Myers, D. Conn, and A. M. V. Brown, mSystems, 6e01048-20, 2021, https//doi.org/10.1128/mSystems.01048-20) conducted a genome skimming approach to understand the role of obligate beneficial symbionts in plant-parasitic dagger nematodes. Nematodes are extraordinarily abundant and key players in ecosystem function and health. However, they are difficult to harness in the lab. The approach used by Myers et al. Selleckchem Hexa-D-arginine ameliorates these challenges to illustrate a relatively complete picture of a poorly understood beneficial symbiosis.Autism spectrum disorder (ASD) is a remarkably complex disorder influenced by both genetic and environmental factors. Numerous microbial diversity surveys conducted over the past decade have attempted to link specific ASD biomarkers to gastrointestinal tract disturbances, but results generated across cohorts and studies remain inconsistent. This commentary discusses multidirectional interactions between the host, the microbiome, and external factors germane to autism. Recent studies posit the heritability of the gut microbiome itself, confounding attempts to discern heritable from nonheritable effectors in neurodevelopmental disorders. Elucidating the ever-evolving gut microbiome's role in modulating the ASD phenotype will most certainly require new experimental methodologies and designs. In a recent paper published in mSystems (J. Fouquier, N. Moreno Huizar, J. Donnelly, C. Glickman, et al., mSystems e00848-20, 2021, https//doi.org/10.1128/mSystems.00848-20), the authors describe a web of interactions by collecting samples longitudinally, analyzing cross-sectional cohorts, and recording nonbinary phenotypic measurements.The existence of a link between the gut microbiome and autism spectrum disorder (ASD) is well established in mice, but in human populations, efforts to identify microbial biomarkers have been limited due to a lack of appropriately matched controls, stratification of participants within the autism spectrum, and sample size. To overcome these limitations, we crowdsourced the recruitment of families with age-matched sibling pairs between 2 and 7 years old (within 2 years of each other), where one child had a diagnosis of ASD and the other did not. Parents collected stool samples, provided a home video of their ASD child's natural social behavior, and responded online to diet and behavioral questionnaires. 16S rRNA V4 amplicon sequencing of 117 samples (60 ASD and 57 controls) identified 21 amplicon sequence variants (ASVs) that differed significantly between the two cohorts 11 were found to be enriched in neurotypical children (six ASVs belonging to the Lachnospiraceae family), while 10 were enriched in children proposes to overcome these limitations by collecting stool-associated microbiome on 60 sibling pairs of children, one with autism and one neurotypically developing, both 2 to 7 years old and no more than 2 years apart in age. We use exact sequence variant analysis and both permutation and differential abundance procedures to identify 21 taxa with significant enrichment or depletion in the autism cohort compared to their matched sibling controls. Several of these 21 biomarkers have been identified in previous smaller studies; however, some are new to autism and known to be important in gut-brain interactions and/or are associated with specific fatty acid biosynthesis pathways.High-throughput 16S rRNA gene sequencing technologies have robust potential to improve our understanding of bee (Hymenoptera Apoidea)-associated microbial communities and their impact on hive health and disease. Despite recent computation algorithms now permitting exact inferencing of high-resolution exact amplicon sequence variants (ASVs), the taxonomic classification of these ASVs remains a challenge due to inadequate reference databases. To address this, we assemble a comprehensive data set of all publicly available bee-associated 16S rRNA gene sequences, systematically annotate poorly resolved identities via inclusion of 618 placeholder labels for uncultivated microbial dark matter, and correct for phylogenetic inconsistencies using a complementary set of distance-based and maximum likelihood correction strategies. To benchmark the resultant database (BEExact), we compare performance against all existing reference databases in silico using a variety of classifier algorithms to produce probabilistic confidovel approaches introduced in this study.

To reduce 7-day acute care reuse among children with asthma after discharge from an academic children's hospital by standardizing the delivery of clinical care and patient education.

A diverse group of stakeholders from our tertiary care children's hospital and local community agencies used quality improvement methods to implement a series of interventions within inpatient, emergency department (ED), and outpatient settings. These interventions were designed to improve admission, inpatient care, and discharge processes for children hospitalized because of asthma and included a focus on (1) resident education, (2) patient access to medication and asthma education, and (3) gaps in existing asthma clinical care pathways in the ED and ICU. The primary outcome was the rate of 7-day acute care reuse (combined hospital readmissions and ED revisits) after discharge from an index hospitalization for asthma, measured through a monthly review of electronic health record data and compared with a 6-month baseline period of reuse data.