Activity-dependent ectopic action potentials in regular-spiking neurons of the neocortex.

Introduction: Action potentials usually travel orthodromically along a neuron's axon, from the axon initial segment (AIS) toward the presynaptic terminals. Under some circumstances action potentials also travel in the opposite direction, antidromically, after being initiated at a distal location. Given their initiation at an atypical site, we refer to these events as "ectopic action potentials." Ectopic action potentials (EAPs) were initially observed in pathological conditions including seizures and nerve injury. Several studies have described regular-spiking (RS) pyramidal neurons firing EAPs in seizure models. Under nonpathological conditions, EAPs were reported in a few populations of neurons, and our group has found that EAPs can be induced in a large proportion of parvalbumin-expressing interneurons in the neocortex. Nevertheless, to our knowledge there have been no prior reports of ectopic firing in the largest population of neurons in the neocortex, pyramidal neurons, under nonpathological conditions. Methods: We performed in vitro recordings utilizing the whole-cell patch clamp technique. To elicit EAPs, we triggered orthodromic action potentialswith either long, progressively increasing current steps, or with trains of brief pulses at 30, 60, or 100 Hz delivered in 3 different ways, varying in stimulus and resting period duration. Results: We found that a large proportion (72.7%) of neocortical RS cells from mice can fire EAPs after a specific stimulus in vitro, and that most RS cells (56.1%) are capable of firing EAPs across a broad range of stimulus conditions. Of the 37 RS neurons in which we were able to elicit EAPs, it took an average of 863.8 orthodromic action potentials delivered over the course of an average of ~81.4 s before the first EAP was seen. We observed that some cells responded to specific stimulus frequencies while less selective, suggesting frequency tuning in a subset of the cells. Discussion: Our findings suggest that pyramidal cells can integrate information over long time-scales before briefly entering a mode of self-generated firing that originates in distal axons. The surprising ubiquity of EAP generation in RS cells raises interesting questions about the potential roles of ectopic spiking in information processing, cortical oscillations, and seizure susceptibility.

AZD5582 plus SIV-specific antibodies reduce lymph node viral reservoirs in antiretroviral therapy-suppressed macaques.

The main barrier to HIV cure is a persistent reservoir of latently infected CD4+ T cells harboring replication-competent provirus that fuels rebound viremia upon antiretroviral therapy (ART) interruption. A leading approach to target this reservoir involves agents that reactivate latent HIV proviruses followed by direct clearance of cells expressing induced viral antigens by immune effector cells and immunotherapeutics. We previously showed that AZD5582, an antagonist of inhibitor of apoptosis proteins and mimetic of the second mitochondrial-derived activator of caspases (IAPi/SMACm), induces systemic reversal of HIV/SIV latency but with no reduction in size of the viral reservoir. In this study, we investigated the effects of AZD5582 in combination with four SIV Env-specific Rhesus monoclonal antibodies (RhmAbs) ± N-803 (an IL-15 superagonist) in SIV-infected, ART-suppressed rhesus macaques. Here we confirm the efficacy of AZD5582 in inducing SIV reactivation, demonstrate enhancement of latency reversal when AZD5582 is used in combination with N-803 and show a reduction in total and replication-competent SIV-DNA in lymph-node-derived CD4+ T cells in macaques treated with AZD5582 + RhmAbs. Further exploration of this therapeutic approach may contribute to the goal of achieving an HIV cure.

Novel Generative Recurrent Neural Network Framework to Produce Accurate, Applicable, and Deidentified Synthetic Medical Data for Patients With Metastatic Cancer.

PURPOSE: Sensitive patient data cannot be easily shared/analyzed, severely limiting the innovative progress of research, specifically for marginalized/under-represented populations. Existing methods of deidentification are subject to data breaches. The objective of this study was to develop a neural network capable of generating a synthetic version of data for patients with novel postoperative metastatic cancer. METHODS: We analyzed a metastatic cancer patient cohort of 167,474 patients obtained from the National Surgical Quality Improvement Program. Twenty-seven clinical features were analyzed. We created a volume-matched synthetic cohort of 167,474 patients and a reduced-size synthetic cohort of 5,000 patients. The volume-matched and reduced-size synthetic cohorts were compared against the ground truth data to analyze differences in principal component distribution, underlying statistical properties/associations, intervariable correlations, and machine learning classifier performance when developed on the synthetic data. RESULTS: Among 167,474 patients with metastatic cancer in the original data, 50,669 (30.3%) died within 30 days of their index surgery. Our model was able to accurately capture underlying statistical properties, principal components, and intervariable correlations within the ground truth data, yielding an accuracy of 93.2% with a loss of 0.21%, and develop synthetic data capable of training accurate machine learning classifiers. The reduced-size synthetic data accurately replicated all categorical variables and every continuous variable with statistically similar records (P > .05), with the sole exception of preoperative albumin (P < .05). The volume-matched synthetic data frame was able to accurately replicate all categorical variables (P > .05). CONCLUSION: This described methodology can be applied to any structured medical data from any setting, significantly expedite scientific analysis/innovation, and be used to develop improved predictive classifiers with boosted tree-based algorithms, serving as the potential new gold standard of medical data sharing and data augmentation.

Scalp and Calvarium Reconstruction.

Defects of the scalp and calvarium pose unique reconstructive challenges due to the importance of this area in protecting the brain and its distance from larger donor vessels for free flap transfer. The wide range and complexity of reconstructive options make this a broad topic because the simplest defects are often closed or managed in the outpatient setting and the most complex require multilayer closure in the operating room with a multidisciplinary team and intensive postoperative care. In hair-bearing individuals, the scalp is an esthetically important area due to the importance of hair to self-esteem and sexual attraction.

Surgery in the Era of Immunotherapy for Advanced Head and Neck Non-melanoma Skin Cancer.

PURPOSE OF REVIEW: Surgery remains the mainstay of treatment for non-melanoma skin cancer (NMSC). Immunotherapy (IO) has emerged as an alternative option. This review provides a contemporary summary of how to incorporate IO into the management of advanced NMSC. Evidence-based outcomes and recent clinical trials are provided with emphasis on the three most common NMSC diagnoses: cutaneous squamous cell carcinoma (cSCC), basal cell carcinoma (BCC), and merkel cell carcinoma (MCC). RECENT FINDINGS: Surgical resection while preserving form and function remains the standard of care for the majority of NMSCs. In recalcitrant cases failing traditional surgery and/or primary radiation, patient ineligible for such treatments, or unresectable disease, IO has emerged as a promising alternative. In the majority of cases, it is a supplanting primary chemotherapy. Surgery remains the standard of care for NMSC. Immunotherapy has emerged as an alternative option for non-surgical candidates and as a neoadjuvant means to minimize morbidity.

Tracheostomies of Patients With COVID-19: A Survey of Infection Reported by Health Care Professionals.

BACKGROUND: Health care professionals (HCPs) performing tracheostomies in patients with COVID-19 may be at increased risk of infection. OBJECTIVE: To evaluate factors underlying HCPs' COVID-19 infection and determine whether tracheostomy providers report increased rates of infection. METHODS: An anonymous international survey examining factors associated with COVID-19 infection was made available November 2020 through July 2021 to HCPs at a convenience sample of hospitals, universities, and professional organizations. Infections reported were compared between HCPs involved in tracheostomy on patients with COVID-19 and HCPs who were not involved. RESULTS: Of the 361 respondents (from 33 countries), 50% (n = 179) had performed tracheostomies on patients with COVID-19. Performing tracheostomies on patients with COVID-19 was not associated with increased infection in either univariable (P = .06) or multivariable analysis (odds ratio, 1.48; 95% CI, 0.90-2.46; P = .13). Working in a low- or middle-income country (LMIC) was associated with increased infection in both univariable (P < .001) and multivariable analysis (odds ratio, 2.88; CI, 1.50-5.53; P = .001). CONCLUSIONS: Performing tracheostomy was not associated with COVID-19 infection, suggesting that tracheostomies can be safely performed in infected patients with appropriate precautions. However, HCPs in LMICs may face increased infection risk.

American Head and Neck Society position statement on the use of PD-1 inhibitors for treatment of advanced cutaneous squamous cell carcinoma.

BACKGROUND: A position statement put forth by the American Head and Neck Society (AHNS) was constructed to provide evidence-based treatment recommendations for PD-1 inhibitor use in advanced cutaneous squamous cell carcinoma (cSCC). Secondarily, we sought to identify knowledge gaps warranting further investigation. METHODS: A literature search utilizing key terms: cutaneous squamous cell carcinoma, cutaneous cancer, checkpoint inhibitors, systemic therapy, Program Cell Death, PD-1 (PubMed, Cochrane, and Google Scholar) was carried out to generate evidence-based statements. The statements were distributed among the AHNS membership. Delphi methodology was applied to identify statements achieving 70% or greater consensus among the leadership team. RESULTS: Twenty-six position statements achieved consensus. Knowledge gaps for future research included: impact of immunosuppression on cSCC staging and associated treatment; role of PD-1 inhibitors in immunosuppressed patients. CONCLUSION: This comprehensive position statement put forth by the AHNS represents majority consensus by practicing head and neck surgeons throughout the country.

Outcomes of Early Versus Late Tracheostomy in Patients With COVID-19: A Multinational Cohort Study.

Timing of tracheostomy in patients with COVID-19 has attracted substantial attention. Initial guidelines recommended delaying or avoiding tracheostomy due to the potential for particle aerosolization and theoretical risk to providers. However, early tracheostomy could improve patient outcomes and alleviate resource shortages. This study compares outcomes in a diverse population of hospitalized COVID-19 patients who underwent tracheostomy either "early" (within 14 d of intubation) or "late" (more than 14 d after intubation). DESIGN: International multi-institute retrospective cohort study. SETTING: Thirteen hospitals in Bolivia, Brazil, Spain, and the United States. PATIENTS: Hospitalized patients with COVID-19 undergoing early or late tracheostomy between March 1, 2020, and March 31, 2021. INTERVENTIONS: Not applicable. MEASUREMENTS AND MAIN RESULTS: A total of 549 patients from 13 hospitals in four countries were included in the final analysis. Multivariable regression analysis showed that early tracheostomy was associated with a 12-day decrease in time on mechanical ventilation (95% CI, -16 to -8; p < 0.001). Further, ICU and hospital lengths of stay in patients undergoing early tracheostomy were 15 days (95% CI, -23 to -9 d; p < 0.001) and 22 days (95% CI, -31 to -12 d) shorter, respectively. In contrast, early tracheostomy patients experienced lower risk-adjusted survival at 30-day post-admission (hazard ratio, 3.0; 95% CI, 1.8-5.2). Differences in 90-day post-admission survival were not identified. CONCLUSIONS: COVID-19 patients undergoing tracheostomy within 14 days of intubation have reduced ventilator dependence as well as reduced lengths of stay. However, early tracheostomy patients experienced lower 30-day survival. Future efforts should identify patients most likely to benefit from early tracheostomy while accounting for location-specific capacity.

A Review of Functional Restoration From Spinal Cord Stimulation in Patients With Spinal Cord Injury.

Traumatic spinal cord injury often leads to loss of sensory, motor, and autonomic function below the level of injury. Recent advancements in spinal cord electrical stimulation (SCS) for spinal cord injury have provided potential avenues for restoration of neurologic function in affected patients. This review aims to assess the efficacy of spinal cord stimulation, both epidural (eSCS) and transcutaneous (tSCS), on the return of function in individuals with chronic spinal cord injury. The current literature on human clinical eSCS and tSCS for spinal cord injury was reviewed. Seventy-one relevant studies were included for review, specifically examining changes in volitional movement, changes in muscle activity or spasticity, or return of cardiovascular pulmonary, or genitourinary autonomic function. The total participant sample comprised of 327 patients with spinal cord injury, each evaluated using different stimulation protocols, some for sensorimotor function and others for various autonomic functions. One hundred eight of 127 patients saw improvement in sensorimotor function, 51 of 70 patients saw improvement in autonomic genitourinary function, 32 of 32 patients saw improvement in autonomic pulmonary function, and 32 of 36 patients saw improvement in autonomic cardiovascular function. Although this review highlights SCS as a promising therapeutic neuromodulatory technique to improve rehabilitation in patients with SCI, further mechanistic studies and stimulus parameter optimization are necessary before clinical translation.

Machine learning models to prognose 30-Day Mortality in Postoperative Disseminated Cancer Patients.

Patients with disseminated cancer at higher risk for postoperative mortality see improved outcomes with altered clinical management. Being able to risk stratify patients immediately after their index surgery to flag high risk patients for healthcare providers is vital. The combination of physician uncertainty and a demonstrated optimism bias often lead to an overestimation of patient life expectancy which can precent proper end of life counseling and lead to inadequate postoperative follow up. In this cohort study of 167,474 postoperative patients with multiple types of disseminated cancer, patients at high risk of 30-day postoperative mortality were accurately identified using our machine learning models based solely on clinical features and preoperative lab values. Extreme Gradient Boosting, Random Forest, and Logistic Regression machine learning models were developed on the cohort. Among 167,474 disseminated cancer patients, 50,669 (30.3%) died within 30 days of their index surgery; After preprocessing, 28 features were included in the model development. The cohort was randomly divided into 133,979 patients (80%) for training the models and 33,495 patients (20%) for testing. The extreme gradient boosting model had an AUC of 0.93 (95% CI: 0.926-0.931), the random forest model had an AUC of 0.93 (95% CI: 0.930-0.934), and the logistic regression model had an AUC of 0.90 (95% CI: 0.900-0.906 the index operation. Ultimately, Machine learning models were able to accurately predict short-term postoperative mortality among a heterogenous population of disseminated cancer patients using commonly accessible medical features. These models can be included in electronic health systems to guide clinical judgements that affect direct patient care, particularly in low-resource settings.

Sensitive and selective detection of peanut allergen Ara h 1 by ELISA and lateral flow immunoassay.

The Ara h1 protein is a peanut allergen and it provides a useful biomarker for the detection of peanut protein. In this manuscript, we describe the generation of monoclonal antibodies (MAbs) against the Ara h1 protein and their development into sensitive and selective immunoassays for peanut detection. Our enzyme-linked immunosorbent assay (sELISA) detects a peanut meal standard with a sensitivity of 10 ng/mL and 500 ng/mL by lateral flow immunoassay (LFIA). MAb Ara h1 binding epitopes were identified, and immunoassay detection was limited to peanut meal varieties irrespective of thermal treatment. No binding was observed from tree nut meals (100-0.4 µg/mL). Peanut allergen detection during food manufacturing can limit the incidence of product recall resulting from cross-contact contamination or improper labeling of finished food products. Detection of Ara h1 by immunoassay can provide a cost-effective method for rapid surveillance of peanut during food production and prior to consumption.

Machine learning methods to predict presence of residual cancer following hysterectomy.

Surgical management for gynecologic malignancies often involves hysterectomy, often constituting the most common gynecologic surgery worldwide. Despite maximal surgical and medical care, gynecologic malignancies have a high rate of recurrence following surgery. Current machine learning models use advanced pathology data that is often inaccessible within low-resource settings and are specific to singular cancer types. There is currently a need for machine learning models to predict non-clinically evident residual disease using only clinically available health data. Here we developed and tested multiple machine learning models to assess the risk of residual disease post-hysterectomy based on clinical and operative parameters. Data from 3656 hysterectomy patients from the NSQIP dataset over 14 years were used to develop models with a training set of 2925 patients and a validation set of 731 patients. Our models revealed the top postoperative predictors of residual disease were the initial presence of gross abdominal disease on the diaphragm, disease located on the bowel mesentery, located on the bowel serosa, and disease located within the adjacent pelvis prior to resection. There were no statistically significant differences in performances of the top three models. Extreme gradient Boosting, Random Forest, and Logistic Regression models had comparable AUC ROC (0.90) and accuracy metrics (87-88%). Using these models, physicians can identify gynecologic cancer patients post-hysterectomy that may benefit from additional treatment. For patients at high risk for disease recurrence despite adequate surgical intervention, machine learning models may lay the basis for potential prospective trials with prophylactic/adjuvant therapy for non-clinically evident residual disease, particularly in under-resourced settings.

Advanced Carbon Materials Derived from Polybenzoxazines: A Review.

This comprehensive review article summarizes the key properties and applications of advanced carbonaceous materials obtained from polybenzoxazines. Identification of several thermal degradation products that arose during carbonization allowed for several different mechanisms (both competitive ones and independent ones) of carbonization, while also confirming the thermal stability of benzoxazines. Electrochemical properties of polybenzoxazine-derived carbon materials were also examined, noting particularly high pseudocapacitance and charge stability that would make benzoxazines suitable as electrodes. Carbon materials from benzoxazines are also highly versatile and can be synthesized and prepared in a number of ways including as films, foams, nanofibers, nanospheres, and aerogels/xerogels, some of which provide unique properties. One example of the special properties is that materials can be porous not only as aerogels and xerogels, but as nanofibers with highly tailorable porosity, controlled through various preparation techniques including, but not limited to, the use of surfactants and silica nanoparticles. In addition to the high and tailorable porosity, benzoxazines have several properties that make them good for numerous applications of the carbonized forms, including electrodes, batteries, gas adsorbents, catalysts, shielding materials, and intumescent coatings, among others. Extreme thermal and electrical stability also allows benzoxazines to be used in harsher conditions, such as in aerospace applications.

Co-opting regulation bypass repair as a gene-correction strategy for monogenic diseases.

With the development of CRISPR-Cas9-mediated gene-editing technologies, correction of disease-causing mutations has become possible. However, current gene-correction strategies preclude mutation repair in post-mitotic cells of human tissues, and a unique repair strategy must be designed and tested for each and every mutation that may occur in a gene. We have developed a novel gene-correction strategy, co-opting regulation bypass repair (CRBR), which can repair a spectrum of mutations in mitotic or post-mitotic cells and tissues. CRBR utilizes the non-homologous end joining (NHEJ) pathway to insert a coding sequence (CDS) and transcription/translation terminators targeted upstream of any CDS mutation and downstream of the transcriptional promoter. CRBR results in simultaneous co-option of the endogenous regulatory region and bypass of the genetic defect. We validated the CRBR strategy for human gene therapy by rescuing a mouse model of Wolcott-Rallison syndrome (WRS) with permanent neonatal diabetes caused by either a large deletion or a nonsense mutation in the PERK (EIF2AK3) gene. Additionally, we integrated a CRBR GFP-terminator cassette downstream of the human insulin promoter in cadaver pancreatic islets of Langerhans, which resulted in insulin promoter regulated expression of GFP, demonstrating the potential utility of CRBR in human tissue gene repair.

A rapid and sensitive lateral flow immunoassay (LFIA) for the detection of gluten in foods.

The gluten protein found in a variety of cereal grains is a food allergen that can elicit a spectrum of immuno-inflammatory responses in people. Consumer awareness has prompted changes in food labeling requirements, expanded gluten-free food product availability and increased demand for effective gluten testing methodologies. To meet the challenges associated with gluten testing from diverse and complex foods we developed a lateral flow immunoassay (LFIA) using a pair of novel gliadin monoclonal antibodies (MAbs). Using a visual gold reporter, we show sensitive gluten detection (150 ng/mL) from complex food substrates using a fast (<5 min) and easy testing methodology. In this report we characterize the binding properties of a cohort of newly generated gliadin monoclonal antibodies suitable for gluten detection using multiple assay formats and introduce a novel plug-n-play test strip platform with integrated test components in a single-use format.

Prognostic impact of retropharyngeal lymphadenopathy in early-stage HPV-associated oropharyngeal cancer: Implications for staging optimization.

OBJECTIVES: We analyzed the prognostic impact of retropharyngeal lymphadenopathy (RPL) in stage I node-positive HPV-associated oropharyngeal squamous cell carcinoma (OPSCC). MATERIALS AND METHODS: We performed a centralized and blinded radiographic review of the pre-treatment images of 234 consecutive patients with AJCC 8th edition stage I cT1-2N1 HPV-associated OPSCC treated with definitive chemoradiation from 2006 to 2016. Five-year disease control and survival outcomes were reported. The prognostic significance of RPL was evaluated through multivariable analysis adjusting for age, smoking history (<10 vs. >10 pack-years), and systemic regimen received. RESULTS: Median follow-up for surviving patients was 49 months (range: 16-121). RPL was associated with increased locoregional recurrence (LRR) (17.0% v. 3.4%, p = 0.01) and distant metastasis (DM) (29.1% v. 5.9%, p = 0.001) and inferior progression-free survival (PFS) (55.6% v. 88.2%, p < 0.001) and overall survival (OS) (60.6% v. 91.2%, p < 0.001). In stage I patients who did not receive high-dose cisplatin (HDC), RPL was associated with worse LRR (p = 0.04), DM (p = 0.03), PFS (p < 0.001), and OS (p < 0.001), whereas in those who did receive HDC, RPL was only associated with increased DM (p = 0.002) and inferior PFS (p = 0.04). CONCLUSION: This study suggests that RPL portends a poor prognosis in stage I node-positive HPV-associated OPSCC. The negative impact on LRR may have been mitigated by receipt of HDC. Outcomes of stage I disease with RPL were comparable to historical reports of patients with more advanced-stage disease. Incorporation of RPL into future disease staging should be considered in order to optimize risk-stratification and exclude unsuitable candidates from treatment de-intensification efforts.

Rapid Detection of Staphylococcal Enterotoxin-B by Lateral Flow Assay.

A cohort of monoclonal antibodies (mAbs) were generated against Staphylococcal enterotoxin-B (SEB) and selected by double sandwich enzyme-linked immunosorbent assay (ELISA) for solution capture of the toxin. Clonal hybridoma cell lines were established and a pair of anti-SEB mAbs selected for the development of a sandwich ELISA. Immobilized 3D6 mAb (IgG1, kappa) when paired with 4C9 mAb (IgG1, kappa) conjugated to horseradish peroxidase generates a typical dose-response curve with an EC50 of 24.8 ng/mL for purified SEB using chemiluminescent detection. These mAbs bind SEB by Western blot and ELISA binding to classical enterotoxin serotypes show that the 3D6 mAb binds both SEB and the SEC1 serotypes, whereas 4C9 binds only SEB. These mAbs effectively port onto lateral flow test strips with a visual detection sensitivity for SEB of 5 ng/mL in <10 minutes using a 4C9 conjugated to a 40 nm gold reporter.