Standardizing Asthma Management in Primary Care

Asthma is a chronic, relapsing-remitting inflammatory airway disease that continues to increase in prevalence in the United States. When properly managed, patients with asthma experience less morbidity than those whose asthma is poorly controlled. Although the National Heart, Lung and Blood Institute (NHLBI) has published guidelines regarding the evidence-based diagnosis and management of asthma, many primary care practices do not fully utilize these best-practices. The purpose of this project was to develop a system of standardized protocols and a reference guide to promote adherence to evidence-based guidelines in asthma management for the Champlain Valley Physician’s Hospital Family Medicine residents and faculty.https://scholarworks.uvm.edu/fmclerk/1590/thumbnail.jp

Understanding and Evaluating Quality of Life for Individuals with Intellectual Disabilities: A Northwestern Vermont Population Study

Introduction There are 7-8 million individuals with intellectual or developmental disabilities living in the US. • 91,795 of this population lives in Vermont • Historically marginalized and isolated community • Socioeconomic, health-related, and emotional burden • Public health-related disparity Champlain Community Services (CCS): non-profit service provider and coordinator for 86 persons with intellectual disabilities in Northwestern Vermont Objectives: • Develop and apply measures to better understand and evaluate quality of life in the population CCS serves. • Recommend improvement to CCS data collection and evaluation methods. • Provide a basis for future recommendations to CCS services that are aligned to the needs of consumers.https://scholarworks.uvm.edu/comphp_gallery/1275/thumbnail.jp

New cationic polyprenyl derivative proposed as a lipofecting agent

Cationic linear poly-cis-isoprenoid prepared from natural plant polyprenol in a mixture with dioleyl phosphatidylethanolamine was found to be an effective lipofection agent for eukaryotic cells. The transfecting activity is related to the poly-cis structure of the polyprenyl chain

Upward propagation of gigantic jets revealed by 3D radio and optical mapping

Occasionally, lightning will exit the top of a thunderstorm and connect to the lower edge of space, forming a gigantic jet. Here, we report on observations of a negative gigantic jet that transferred an extraordinary amount of charge between the troposphere and ionosphere (~300 C). It occurred in unusual circumstances, emerging from an area of weak convection. As the discharge ascended from the cloud top, tens of very high frequency (VHF) radio sources were detected from 22 to 45 km altitude, while simultaneous optical emissions (777.4 nm OI emitted from lightning leaders) remained near cloud top (15 to 20 km altitude). This implies that the high-altitude VHF sources were produced by streamers and the streamer discharge activity can extend all the way from near cloud top to the ionosphere. The simultaneous three-dimensional radio and optical data indicate that VHF lightning networks detect emissions from streamer corona rather than the leader channel, which has broad implications to lightning physics beyond that of gigantic jets.Peer ReviewedPostprint (published version

Selective Bispecific T Cell Recruiting Antibody and Antitumor Activity of Adoptive T Cell Transfer

Background: One bottleneck for adoptive T cell therapy (ACT) is recruitment of T cells into tumors. We hypothesized that combining tumor-specific T cells, modified with a marker antigen and a bispecific antibody (BiAb) that selectively recognizes transduced T cells and tumor cells would improve T cell recruitment to tumors and enhance therapeutic efficacy. Methods: SV40 T antigen-specific T cells from T cell receptor (TCR)-I-transgenic mice were transduced with a truncated human epidermal growth factor receptor (EGFR) as a marker protein. Targeting and killing by combined ACT and anti-EGFR-anti-EpCAM BiAb therapy was analyzed in C57Bl/6 mice (n = six to 12 per group) carrying subcutaneous tumors of the murine gastric cancer cell line GC8 (SV40+ and EpCAM+). Anti-EGFR x anti-c-Met BiAb was used for targeting of human tumor-specific T cells to c-Met+ human tumor cell lines. Differences between experimental conditions were analyzed using the Student's t test, and differences in tumor growth with two-way analysis of variance. Overall survival was analyzed by log-rank test. All statistical tests were two-sided. Results: The BiAb linked EGFR-transduced T cells to tumor cells and enhanced tumor cell lysis. In vivo, the combination of ACT and Biab produced increased T cell infiltration of tumors, retarded tumor growth, and prolonged survival compared with ACT with a control antibody (median survival 95 vs 75 days, P < .001). In human cells, this strategy enhanced recruitment of human EGFR-transduced T cells to immobilized c-Met and recognition of tyrosinase+ melanoma cells by TCR-, as well as of CEA+ colon cancer cells by chimeric antigen receptor (CAR)-modified T cells. Conclusions: BiAb recruitment of tumor-specific T cells transduced with a marker antigen to tumor cells may enhance efficacy of AC

Automated detection and staging of malaria parasites from cytological smears using convolutional neural networks

Microscopic examination of blood smears remains the gold standard for laboratory inspection and diagnosis of malaria. Smear inspection is, however, time-consuming and dependent on trained microscopists with results varying in accuracy. We sought to develop an automated image analysis method to improve accuracy and standardization of smear inspection that retains capacity for expert confirmation and image archiving. Here, we present a machine learning method that achieves red blood cell (RBC) detection, differentiation between infected/uninfected cells, and parasite life stage categorization from unprocessed, heterogeneous smear images. Based on a pretrained Faster Region-Based Convolutional Neural Networks (R-CNN) model for RBC detection, our model performs accurately, with an average precision of 0.99 at an intersection-over-union threshold of 0.5. Application of a residual neural network-50 model to infected cells also performs accurately, with an area under the receiver operating characteristic curve of 0.98. Finally, combining our method with a regression model successfully recapitulates intraerythrocytic developmental cycle with accurate lifecycle stage categorization. Combined with a mobile-friendly web-based interface, called PlasmoCount, our method permits rapid navigation through and review of results for quality assurance. By standardizing assessment of Giemsa smears, our method markedly improves inspection reproducibility and presents a realistic route to both routine lab and future field-based automated malaria diagnosis