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This paper analyzes the impact of college athletic reclassification for educational institutions in the United States. Most of America's colleges and universities offer athletic opportunities for their students under NCAA governance. The level of competition and associated resource requirements range from relatively low (Division 3) to high (Division 1). In recent years, there has been an increase in the number of institutions that have either reclassified to a higher division, or publicly considered such a move. The resource obligations of reclassification are significant, and administrators must carefully weigh expected benefits and costs with respect to the institution's mission and vision. While several studies (Bell, 2017; Schwarzber, 2014; Frieder & Fulks, 2007; Tomasini, 2005) have focused on reclassification from Division 1-FCS to FBS--the highest level of competition--less attention has been paid to colleges in Division 2 and 3--which comprise two-thirds of NCAA membership. Our study addresses a gap in the literature by analyzing athletic reclassification among schools moving up from Division 2 to Division 1 (FCS and no-football) during the period of 2001-2018. Drawing upon multiple data sources, we construct a panel of 33 schools (14 treatments and 19 controls) to evaluate the impact of reclassification on applications and athletic department budgets. Results from quasi-experimental methods (difference in differences, event study, and synthetic control models) suggest that reclassification significantly increased basketball program revenues and athletic department expenses among the treatment schools. However, we do not find evidence that reclassification raises student applications in the short term.

Abstract Drosophila melanogaster is unique among animal models because it has a fully defined synthetic diet available to study nutrient-gene interactions. However, use of this diet is limited to adult studies due to impaired larval development and survival. Here, we provide an adjusted formula that reduces the developmental period, restores fat levels, enhances body mass, and fully rescues survivorship without compromise to adult lifespan. To demonstrate an application of this formula, we explored pre-adult diet compositions of therapeutic potential in a model of an inherited metabolic disorder affecting the metabolism of branched-chain amino acids. We reveal rapid, specific, and predictable nutrient effects on the disease state consistent with observations from mouse and patient studies. Together, our diet provides a powerful means with which to examine the interplay between diet and metabolism across all life stages in an animal model.

Purpose: We describe a case of metastatic conjunctival squamous cell carcinoma (SCC) presenting as an infectious sclerokeratouveitis in a patient with autoimmune disease. Observations: A 63-year-old Caucasian female presented to the cornea service with a raised perilimbal scleral infiltrate, hypopyon, and corneal perforation concerning for infectious necrotizing sclerokeratoveitis. She had an ocular history of a recurrent “pyogenic granuloma” and her medical history was notable for well-controlled systemic lupus erythematosus and rheumatoid arthritis. Scleral debridement and repair with a corneal patch graft was performed. Bacterial cultures grew 4+ Proteus mirabilis sensitive to tobramycin. One month later, she developed bulky painless scleral lesions with leukoplakic features. A scleral biopsy revealed squamous cell carcinoma. Imaging suggested ciliary body and medial rectus infiltration without perineural invasion. Right anterior exenteration was performed as immunotherapy was felt to be unlikely to achieve success in light of her autoimmune conditions. Six months later, she developed a palpable right parotid mass with biopsy confirming metastatic squamous cell carcinoma. She underwent a right parotidectomy and is now undergoing consolidative radiotherapy. Conclusions and Importance: Ocular surface neoplasia can present as a necrotizing sclerokeratouveitis, contributed by both the tumor and an atypical infectious process. Malignancy with superinfection should be in the differential diagnosis of recurrent ocular surface inflammation.

Using next-generation sequencing (NGS), we developed and validated a whole-genome sequencing (WGS)-based clinical test for fungal species identification on clinical isolates. The identification is mainly based on the fungal ribosomal internal transcribed spacer (ITS) region as the primary marker, and additional marker and genomic analysis applied for species within the Mucorales family (using the 28S rRNA gene) and Aspergillus genus (using the beta-tubulin gene and k-mer tree-based phylogenetic clustering). The validation study involving 74 unique fungal isolates (22 yeasts, 51 molds, and 1 mushroom-forming fungus) showed high accuracy, with 100% (74/74) concordance on the genus-level identifications and 89.2% (66/74) concordance on the species level. The 8 discrepant results were due to either the limitation of conventional morphology-based methodology or taxonomic changes. After one year of implementation in our clinical laboratory, this fungal NGS test was utilized in 29 cases; the majority of them were transplant and cancer patients. We demonstrated the utility of this test by detailing five case studies, in which accurate fungal species identification led to correct diagnosis, treatment adjustment or was ruled out for hospital acquired infection. This study provides a model for validation and implementation of WGS for fungal identification in a complex health system that serves a large immunocompromised patient population.

Nutrition and resilience are linked, though it is not yet clear how diet confers stress resistance or the breadth of stressors that it can protect against. We have previously shown that transiently restricting an essential amino acid can protect Drosophila melanogaster against nicotine poisoning. Here, we sought to characterize the nature of this dietary-mediated protection and determine whether it was sex, amino acid and/or nicotine specific. When we compared between sexes, we found that isoleucine deprivation increases female, but not male, nicotine resistance. Surprisingly, we found that this protection afforded to females was not replicated by dietary protein restriction and was instead specific to individual amino acid restriction. To understand whether these beneficial effects of diet were specific to nicotine or were generalizable across stressors, we pre-treated flies with amino acid restriction diets and exposed them to other types of stress. We found that some of the diets that protected against nicotine also protected against oxidative and starvation stress, and improved survival following cold shock. Interestingly, we found that a diet lacking isoleucine was the only diet to protect against all these stressors. These data point to isoleucine as a critical determinant of robustness in the face of environmental challenges.

Purpose: This study sought to identify the sources of differential performance and misclassification error among local (Indian) and external (non-Indian) corneal specialists in identifying bacterial and fungal keratitis based on corneal photography. Methods: This study is a secondary analysis of survey data assessing the ability of corneal specialists to identify acute bacterial versus fungal keratitis by using corneal photography. One-hundred images of 100 eyes from 100 patients with acute bacterial or fungal keratitis in South India were previously presented to an international cohort of cornea specialists for interpretation over the span of April to July 2021. Each expert provided a predicted probability that the ulcer was either bacterial or fungal. Using these data, we performed multivariable linear regression to identify factors predictive of expert performance, accounting for primary practice location and surrogate measures to infer local fungal ulcer prevalence, including locality, latitude, and dew point. In addition, Brier score decomposition was used to determine experts' reliability (“calibration”) and resolution (“boldness”) and were compared between local (Indian) and external (non-Indian) experts. Results: Sixty-six experts from 16 countries participated. Indian practice location was the only independently significant predictor of performance in multivariable linear regression. Resolution among Indian experts was significantly better (0.08) than among non-Indian experts (0.01; P < 0.001), indicating greater confidence in their predictions. There was no significant difference in reliability between the two groups (P = 0.40). Conclusion: Local cornea experts outperformed their international counterparts independent of regional variability in tropical risk factors for fungal keratitis. This may be explained by regional characteristics of infectious ulcers with which local corneal specialists are familiar.

PurposeDevelop computer vision models for image-based differentiation of bacterial and fungal corneal ulcers and compare their performance against human experts.DesignCross-sectional comparison of diagnostic performance.ParticipantsPatients with acute, culture-proven bacterial or fungal keratitis from 4 centers in South India.MethodsFive convolutional neural networks (CNNs) were trained using images from handheld cameras collected from patients with culture-proven corneal ulcers in South India recruited as part of clinical trials conducted between 2006 and 2015. Their performance was evaluated on 2 hold-out test sets (1 single center and 1 multicenter) from South India. Twelve local expert cornea specialists performed remote interpretation of the images in the multicenter test set to enable direct comparison against CNN performance.Main outcome measuresArea under the receiver operating characteristic curve (AUC) individually and for each group collectively (i.e., CNN ensemble and human ensemble).ResultsThe best-performing CNN architecture was MobileNet, which attained an AUC of 0.86 on the single-center test set (other CNNs range, 0.68-0.84) and 0.83 on the multicenter test set (other CNNs range, 0.75-0.83). Expert human AUCs on the multicenter test set ranged from 0.42 to 0.79. The CNN ensemble achieved a statistically significantly higher AUC (0.84) than the human ensemble (0.76; P < 0.01). CNNs showed relatively higher accuracy for fungal (81%) versus bacterial (75%) ulcers, whereas humans showed relatively higher accuracy for bacterial (88%) versus fungal (56%) ulcers. An ensemble of the best-performing CNN and best-performing human achieved the highest AUC of 0.87, although this was not statistically significantly higher than the best CNN (0.83; P = 0.17) or best human (0.79; P = 0.09).ConclusionsComputer vision models achieved superhuman performance in identifying the underlying infectious cause of corneal ulcers compared with cornea specialists. The best-performing model, MobileNet, attained an AUC of 0.83 to 0.86 without any additional clinical or historical information. These findings suggest the potential for future implementation of these models to enable earlier directed antimicrobial therapy in the management of infectious keratitis, which may improve visual outcomes. Additional studies are ongoing to incorporate clinical history and expert opinion into predictive models.

BackgroundMycoplasma hominis can cause significant infections after solid organ transplantation (SOT). Treatment should be guided by susceptibility testing, but conventional lab methods are laborious with prolonged turnaround time (TAT). This case series compares the phenotypic and genotypic susceptibility profiles of M. hominis isolates identified from SOT patients.MethodsThis is a single-center retrospective study evaluating SOT recipients with confirmed M. hominis infections. Patients' demographic, clinical, microbiological, and radiographic data were collected. Culture of M. hominis isolates was performed according to current Clinical and Laboratory Standards Institute guidelines. Phenotypic susceptibility testing was performed by University of Alabama Diagnostic Mycoplasma Laboratory. Whole genome sequencing (WGS) was performed followed by bioinformatic analysis of known genetic determinants of resistance.ResultsSeven SOT recipients with M. hominis infections were identified. Two out of seven (28.5%) patients had resistance detected by phenotypic susceptibility testing (Case 5 to levofloxacin and Case 7 to tetracycline). Genomic analyses confirmed the presence of mutations in the parC and parE topoisomerase genes at positions conferring to fluoroquinolone resistance in the isolate from Case 5, while the tetracycline-resistant isolate from Case 7 harbored the tetM gene. The median TAT from the date of specimen collection was 24 days for phenotypic susceptibility testing and 14 days for genotypic susceptibility testing. All seven patients received antimicrobials directed toward M. hominis and recovered with complete resolution of infection.ConclusionsWGS may offer a novel and more rapid methodology for M. hominis susceptibility testing to help optimize antimicrobial usage, but more data are needed.

Summary: Inherited metabolic disorders are a group of genetic conditions that can cause severe neurological impairment and child mortality. Uniquely, these disorders respond to dietary treatment; however, this option remains largely unexplored because of low disorder prevalence and the lack of a suitable paradigm for testing diets. Here, we screened 35 Drosophila amino acid disorder models for disease-diet interactions and found 26 with diet-altered development and/or survival. Using a targeted multi-nutrient array, we examine the interaction in a model of isolated sulfite oxidase deficiency, an infant-lethal disorder. We show that dietary cysteine depletion normalizes their metabolic profile and rescues development, neurophysiology, behavior, and lifelong fly survival, thus providing a basis for further study into the pathogenic mechanisms involved in this disorder. Our work highlights the diet-sensitive nature of metabolic disorders and establishes Drosophila as a valuable tool for nutrigenomic studies for informing potential dietary therapies.

ObjectivesThis study aimed to assess whether the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Epsilon variant (B.1.429/427) is more virulent, leading to more hospitalization and more severe disease requiring intensive care unit (ICU) admission.MethodsSARS-CoV-2 genomic surveillance was performed on respiratory samples from 231 unique patients, collected at a single large health system in Southern California between November 2020 and March 2021 during the winter surge.ResultsThe frequencies of the Epsilon variant among outpatients, hospitalized patients, and ICU patients were indifferent.ConclusionsOur study suggests that the Epsilon variant is not associated with increased hospitalization and ICU admission.

PurposeTo describe a case of central corneal ulceration in a newborn secondary to congenital entropion.ObservationsCorneal ulcers during infancy are rare and may occur secondary to congenital structural anomalies, including congenital entropion. Correct anatomic eyelid position in newborns is challenging to determine with closed eyelids, and eyelid squeezing during crying and discomfort adds to this challenge.Conclusions and importanceThis report reinforces the importance of careful examination of the adnexa in infants with corneal ulcers while they are most comfortable, usually after topical anesthesia and prior to placement of eyelid speculum. Ophthalmologists caring for infants must be able to detect this condition because prompt entropion repair is necessary for corneal ulcer resolution and prevention of permanent vision loss.

PurposeTo describe a unique case of LASIK flap fungal keratitis confirmed by next generation sequencing.ObservationsA 56-year-old female presented with refractory keratitis involving her LASIK flap 21 years after surgery. Confocal was positive for filamentous structures. The patient underwent immediate flap amputation followed by topical antifungal treatment. Corneal culture was positive for Acremonium sp. Metagenomic deep sequencing confirmed Acremonium as the primary source of infection and also identified Fusarium as a likely contributor of a mixed fungal infection. Sequencing also identified hay as the likely source of the infection. Treatment resulted in eradication of the infection. The patient's final best corrected visual acuity was 20/30 with rigid contact lens overrefraction.ConclusionsMetagenomic deep sequencing is a novel diagnostic tool that is increasingly being utilized for diagnosis of refractory keratitis. This case demonstrates the diagnostic potential of deep sequencing for identifying post-LASIK keratitis and reinforces the utility of LASIK flap amputation in the setting of tectonic flap instability due to keratolysis.ImportanceThis case highlights several important clinical points for treating LASIK flap keratitis and highlights the emerging role metagenomic sequencing has in the diagnosis of infectious keratitis. This is first known case using next generation sequencing to diagnose a post-LASIK infectious keratitis.

Abstract Neuroligins are transmembrane cell adhesion proteins well-known for their genetic links to autism spectrum disorders. Neuroligins can function by regulating the actin cytoskeleton, however the factors and mechanisms involved are still largely unknown. Here, using the Drosophila neuromuscular junction as a model, we reveal that F-Actin assembly at the Drosophila NMJ is controlled through Cofilin signaling mediated by an interaction between DNlg2 and RACK1, factors not previously known to work together. The deletion of DNlg2 displays disrupted RACK1-Cofilin signaling pathway with diminished actin cytoskeleton proteo-stasis at the terminal of the NMJ, aberrant NMJ structure, reduced synaptic transmission, and abnormal locomotion at the third-instar larval stage. Overexpression of wildtype and activated Cofilin in muscles are sufficient to rescue the morphological and physiological defects in dnlg2 mutants, while inactivated Cofilin is not. Since the DNlg2 paralog DNlg1 is known to regulate F-actin assembly mainly via a specific interaction with WAVE complex, our present work suggests that the orchestration of F-actin by Neuroligins is a diverse and complex process critical for neural connectivity.

This study quantifies the performance of an international cohort of cornea specialists in image-based differentiation of bacterial and fungal keratitis, identifying significant regional variation and establishing a reference standard for comparison against machine learning models.

ObjectivesCefiderocol is a novel siderophore cephalosporin with in vitro activity against multidrug-resistant (MDR), gram-negative bacteria and intrinsic structural stability to all classes of carbapenemases. We sought to identify gene variants that could affect the mechanism of action (MOA) of cefiderocol.MethodsWe report a case of bacteremia in a liver transplant candidate with a strain of carbapenem-resistant Escherichia coli that was found to be resistant to cefiderocol despite no prior treatment with this antimicrobial agent. Using whole-genome sequencing, we characterized the genomic content of this E coli isolate and assessed for genetic variants between related strains that were found to be cefiderocol susceptible.ResultsWe identified several variants in genes with the potential to affect the mechanism of action of cefiderocol.ConclusionsThe cefiderocol resistance in the E coli isolate identified in this study is likely due to mutations in the cirA gene, an iron transporter gene.

PurposeThe purpose of this article was to evaluate the impact of sample collection order on the diagnostic yield of metagenomic deep sequencing (MDS) for determining the causative pathogen in infectious keratitis.MethodsWe performed a cross-sectional diagnostic test evaluation among subjects with infectious keratitis at Aravind Eye Hospital in Madurai, India. All subjects underwent corneal scrapings of the affected eye to obtain potassium hydroxide smear, Gram stain, bacterial culture, and fungal culture, in this order. The order of MDS specimen collection relative to smear and culture samples was randomized and served as the primary predictor. Outcomes included the normalized copy number of pathogenic RNA detected by MDS, the proportion of MDS samples that were diagnostic, and the agreement of MDS results with cultures.ResultsMDS samples from 46 subjects with corneal ulcers were evaluated. MDS was positive in 33 subjects (76%) and had 74% overall agreement with culture results. There was no association between order of MDS sample collection and normalized copy number of genetic material detected (P = 0.62) or the likelihood of MDS positivity (P = 0.46). However, the likelihood of agreement between MDS and cultures decreased when MDS corneal swabs were collected after other diagnostic corneal scrapings (P = 0.05).ConclusionsThe overall yield of MDS for detecting the cause of infectious keratitis was not affected by sample collection order. However, diagnostic agreement between MDS and cultures decreased when MDS samples were collected after other specimens. Additional investigation is warranted to determine whether this represents increased sensitivity of MDS compared with cultures or higher susceptibility to contaminants.

The application of next-generation sequencing extends from microbial identification to epidemiologic insight and antimicrobial resistance prediction. Despite this potential, the roadblock for clinical laboratories lies in implementation and validation of such complex technology and data analysis. Herein, a validation study used whole-genome sequencing (WGS) for pan-bacterial identification (ID) in a clinical laboratory, and assessed its clinical relevance. A diverse set of 125 bacterial isolates, including a subset without genus (25) and/or species (10) ID, were analyzed by de novo assembly and reference genome mapping. The 16S rRNA, rpoB, and groEL genes were used for ID. Using WGS, 100% (89 of 89) and 89% (79 of 89) of isolates were identified at the genus and species-levels, respectively. WGS also provided improved results for 71% (25/35) isolates originally reported with genus-only or descriptive IDs. Chart review identified cases in which improved genus and/or species-level ID by WGS may have had a positive impact on patient care. Reasons included the use of an ineffective antibiotic owing to unclear ID, use of antibiotics when not clinically indicated, and help with an outbreak investigation. The implementation of next-generation sequencing in a clinical microbiology setting is a challenging but necessary task. This study provides a model for the validation and implementation of bacterial ID by WGS in such a setting.

ABSTRACT This study evaluated the performance of the PyloPlus Urea Breath Test (UBT) System, a Food and Drug Administration (FDA)-approved assay for diagnosis of Helicobacter pylori infection in adult patients, using samples from 111 pediatric patients (3–17 years old). Both qualitative results (100% correlation) and quantitative delta over baseline values (R 2 = 0.9989) from the PyloPlus UBT strongly correlated with the Meridian BreathTek POCone UBT reference method, which is FDA approved for use in pediatric patients (3–17 years old). The PyloPlus UBT performed comparably to the BreathTek UBT without any calculation correction factors for pediatric samples. Consistent with previous studies, male pediatric patients had a significantly higher positivity rate (64%) than female pediatric patients (33%) (P = 0.001). There was no difference in positivity rate between two performing locations. This study shows that the PyloPlus UBT system can be used for testing pediatric patient specimens. IMPORTANCE For the diagnosis and post-treatment monitoring of H. pylori infection, non-invasive testing methodologies improve patient comfort, particularly for children. Previously, only the BreathTek UBT had FDA approval for use in pediatric patients and required an adjustment calculation based on age, height, and weight of the patient. The purpose of this study was to evaluate the performance of the PyloPlus UBT assay in a pediatric population.

Objective: To investigate the impact of corneal photograph quality on convolutional neural network (CNN) predictions. Design: A CNN trained to classify bacterial and fungal keratitis was evaluated using photographs of ulcers labeled according to 5 corneal image quality parameters: eccentric gaze direction, abnormal eyelid position, over/under-exposure, inadequate focus, and malpositioned light reflection. Participants: All eligible subjects with culture and stain-proven bacterial and/or fungal ulcers presenting to Aravind Eye Hospital in Madurai, India, between January 1, 2021 and December 31, 2021. Methods: Convolutional neural network classification performance was compared for each quality parameter, and gradient class activation heatmaps were generated to visualize regions of highest influence on CNN predictions. Main Outcome Measures: Area under the receiver operating characteristic and precision recall curves were calculated to quantify model performance. Bootstrapped confidence intervals were used for statistical comparisons. Logistic loss was calculated to measure individual prediction accuracy. Results: Individual presence of either light reflection or eyelids obscuring the corneal surface was associated with significantly higher CNN performance. No other quality parameter significantly influenced CNN performance. Qualitative review of gradient class activation heatmaps generally revealed the infiltrate as having the highest diagnostic relevance. Conclusions: The CNN demonstrated expert-level performance regardless of image quality. Future studies may investigate use of smartphone cameras and image sets with greater variance in image quality to further explore the influence of these parameters on model performance. Financial Disclosure(s): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Granulomas are complex cellular structures composed predominantly of macrophages and lymphocytes that function to contain and kill invading pathogens. Here, we investigated the single-cell phenotypes associated with antimicrobial responses in human leprosy granulomas by applying single-cell and spatial sequencing to leprosy biopsy specimens. We focused on reversal reactions (RRs), a dynamic process whereby some patients with disseminated lepromatous leprosy (L-lep) transition toward self-limiting tuberculoid leprosy (T-lep), mounting effective antimicrobial responses. We identified a set of genes encoding proteins involved in antimicrobial responses that are differentially expressed in RR versus L-lep lesions and regulated by interferon-γ and interleukin-1β. By integrating the spatial coordinates of the key cell types and antimicrobial gene expression in RR and T-lep lesions, we constructed a map revealing the organized architecture of granulomas depicting compositional and functional layers by which macrophages, T cells, keratinocytes and fibroblasts can each contribute to the antimicrobial response.

PurposeAcanthamoeba keratitis often is refractory to medical and surgical therapy, primarily because of the remarkable resilience of Acanthamoeba cysts. In this study, we directly compared the cysticidal activity and potency of several candidate medical therapies in vitro.DesignExperimental study.ParticipantsIn vitro Acanthamoeba specimens obtained from 9 patients with keratitis seen at the Francis I. Proctor Foundation from 2008 through 2012.MethodsThe minimum cysticidal concentration (MCC) of povidone iodine, natamycin, and chlorhexidine was investigated using an established assay technique. The relative potency of each agent was estimated starting with concentrations commonly used in clinical practice and determining the number of two-fold dilutions required to reach the MCC. Statistical comparisons of relative potency were performed using bootstrap simulations and permutation tests.Main outcome measuresMinimum cysticidal concentration and the number of two-fold dilutions required to reach the MCC.ResultsThe MCC for chlorhexidine ranged from 3.1 to 25 μg/ml (median, 12.5 μg/ml; interquartile range [IQR], 6.25-12.5 μg/ml), the MCC for natamycin ranged from 390.6 to 3125 μg/ml (median, 390.6 μg/ml; IQR, 390.6-781.2 μg/ml), and the MCC for povidone iodine ranged from 0.3 to 78.1 μg/ml (median, 2.4 μg/ml; IQR, 0.6-9.8 μg/ml). Doses commonly used in clinical practice (povidone iodine 1%, natamycin 5%, and chlorhexidine 0.04%) were approximately 12, 7, and 5 two-fold dilutions higher than the drug's corresponding median MCC, respectively (P < 0.001, comparing 3 drugs). Povidone iodine 1% had the highest potency of the 3 medications tested, requiring more dilutions than natamycin 5% (P < 0.001) and chlorhexidine 0.04% (P < 0.001) to reach the MCC.ConclusionsAll 3 medications demonstrated in vitro cysticidal activity in each of the 9 isolates. The potency of 1% povidone iodine was greater than standard formulations of natamycin or chlorhexidine. Although its clinical efficacy is yet to be determined, povidone iodine may be considered as a potential adjuvant treatment in cases of recalcitrant Acanthamoeba keratitis.

The current pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in the approval of numerous molecular diagnostic assays with various performance and technical capacities. There are limited data comparing performance among assays. We conducted a retrospective analysis of >10,000 test results among three widely used RT-PCR assays for coronavirus disease 2019 (CDC, Simplexa Direct, and TaqPath) to assess performance characteristics. We also retested remnant weakly positive specimens to assess analytical sensitivity. All assays had strong linear correlation and little bias among CT values for PCR targets. In patients with first-test negative results (n = 811), most (795, 98.0%) remained negative for all subsequent testing. Retesting of weakly positive specimens (CT > 30) showed sensitivities as follows: TaqPath (97.8%), CDC (91%), Simplexa (75.3%). Our analysis showed no performance difference among PCR targets within the same assay, suggesting a single target is sufficient for SARS-CoV-2 detection. Lower respiratory tract specimens had a higher negative predictive value (100%) than upper respiratory tract specimens (98%), highlighting the utility of testing lower respiratory tract specimens when clinically indicated. Negative predictive value did not increase on further repeated testing, providing strong evidence for discouraging unnecessary repeated testing for SARS-CoV-2.

PurposeTo study the feasibility and efficacy of a new remote wet lab for microsurgical education using a corneal suturing task.SettingDepartment of Ophthalmology, University of California San Francisco, San Francisco, California, USA.DesignProspective randomized controlled study.MethodsTen ophthalmology residents were stratified by postgraduate year and randomized to perform a corneal suturing task consisting of placing the 4 cardinal sutures for a penetrating keratoplasty in porcine eyes with or without remote ophthalmology attending feedback. Subsequently, both groups repeated the same task without remote feedback to test whether initial remote feedback affected subsequent performance. Finally, the group without feedback was crossed over to repeat the same corneal suturing task with remote feedback. The effectiveness of the remote wet lab was assessed subjectively by survey and objectively by grading each suture pass.ResultsResident-reported comfort with corneal suturing improved significantly after the remote wet lab for all residents. Residents and attendings rated the remote wet lab as equally or more effective compared with previous in-person wet labs and overall effective in corneal suturing. Attendings rated the remote wet lab as effective in multiple domains of microsurgical education using a modified microsurgical global rating scale. Objective corneal suturing performance was similar for both groups.ConclusionsThe remote wet lab was feasible and effective for training ophthalmology residents in corneal suturing. This represents a new social distancing compliant platform for microsurgical education during the COVID-19 pandemic.

Abstract Background Functional Family Therapy (FFT) is a short‐term family‐based intervention for youth with behaviour problems. FFT has been widely implemented in the USA and other high‐income countries. It is often described as an evidence‐based program with consistent, positive effects. Objectives We aimed to synthesise the best available data to assess the effectiveness of FFT for families of youth with behaviour problems. Search Methods Searches were performed in 2013–2014 and August 2020. We searched 22 bibliographic databases (including PsycINFO, ERIC, MEDLINE, Science Direct, Sociological Abstracts, Social Services Abstracts, World CAT dissertations and theses, and the Web of Science Core Collection), as well as government policy databanks and professional websites. Reference lists of articles were examined, and experts were contacted to search for missing information. Selection Criteria We included randomised controlled trials (RCTs) and quasi‐experimental designs (QEDs) with parallel cohorts and statistical controls for between‐group differences at baseline. Participants were families of young people aged 11–18 with behaviour problems. FFT programmes were compared with usual services, alternative treatment, and no treatment. There were no publication, geographic, or language restrictions. Data Collection and Analysis Two reviewers independently screened 1039 titles and abstracts, read all available study reports, assessed study eligibility, and extracted data onto structured electronic forms. We assessed risks of bias (ROB) using modified versions of the Cochrane ROB tool and the What Works Clearinghouse standards. Where possible, we used random effects models with inverse variance weights to pool results across studies. We used odds ratios for dichotomous outcomes and standardised mean differences for continuous outcomes. We used Hedges g to adjust for small sample sizes. We assessed the heterogeneity of effects with χ2 and I2. We produced separate forest plots for conceptually distinct outcomes and for different endpoints (

Abstract We recently discovered that the expression of PRKN, a young-onset Parkinson disease-linked gene, confers redox homeostasis. To further examine the protective effects of parkin in an oxidative stress model, we first combined the loss of prkn with Sod2 haploinsufficiency in mice. Although adult prkn −/−//Sod2 ± animals did not develop dopamine cell loss in the S. nigra, they had more reactive oxidative species and a higher concentration of carbonylated proteins in the brain; bi-genic mice also showed a trend for more nitrotyrosinated proteins. Because these redox changes were seen in the cytosol rather than mitochondria, we next explored the thiol network in the context of PRKN expression. We detected a parkin deficiency-associated increase in the ratio of reduced glutathione (GSH) to oxidized glutathione (GSSG) in murine brain, PRKN-linked human cortex and several cell models. This shift resulted from enhanced recycling of GSSG back to GSH via upregulated glutathione reductase activity; it also correlated with altered activities of redox-sensitive enzymes in mitochondria isolated from mouse brain (e.g., aconitase-2; creatine kinase). Intriguingly, human parkin itself showed glutathione-recycling activity in vitro and in cells: For each GSSG dipeptide encountered, parkin regenerated one GSH molecule and was S-glutathionylated by the other (GSSG + P-SH $$\to$$ → GSH + P-S-SG), including at cysteines 59, 95 and 377. Moreover, parkin’s S-glutathionylation was reversible by glutaredoxin activity. In summary, we found that PRKN gene expression contributes to the network of available thiols in the cell, including by parkin’s participation in glutathione recycling, which involves a reversible, posttranslational modification at select cysteines. Further, parkin’s impact on redox homeostasis in the cytosol can affect enzyme activities elsewhere, such as in mitochondria. We posit that antioxidant functions of parkin may explain many of its previously described, protective effects in vertebrates and invertebrates that are unrelated to E3 ligase activity.

Emissions of C2-C5 alkanes from the U.S. oil and gas sector have changed rapidly over the last decade. We use a nested GEOS-Chem simulation driven by updated 2011NEI emissions with aircraft, surface and column observations to 1) examine spatial patterns in the emissions and observed atmospheric abundances of C2-C5 alkanes over the U.S., and 2) estimate the contribution of emissions from the U.S. oil and gas industry to these patterns. The oil and gas sector in the updated 2011NEI contributes over 80% of the total U.S. emissions of ethane (C2H6) and propane (C3H8), and emissions of these species are largest in the central U.S. Observed mixing ratios of C2-C5 alkanes show enhancements over the central U.S. below 2 km. A nested GEOS-Chem simulation underpredicts observed C3H8 mixing ratios in the boundary layer over several U.S. regions and the relative underprediction is not consistent, suggesting C3H8 emissions should receive more attention moving forward. Our decision to consider only C4-C5 alkane emissions as a single lumped species produces a geographic distribution similar to observations. Due to the increasing importance of oil and gas emissions in the U.S., we recommend continued support of existing long-term measurements of C2-C5 alkanes. We suggest additional monitoring of C2-C5 alkanes downwind of northeastern Colorado, Wyoming and western North Dakota to capture changes in these regions. The atmospheric chemistry modeling community should also evaluate whether chemical mechanisms that lump larger alkanes are sufficient to understand air quality issues in regions with large emissions of these species.