Resilience Improves Patient-Reported Outcomes After Orthopaedic Trauma.

OBJECTIVES: To analyze the relationship between patient resilience and patient-reported outcomes after orthopaedic trauma. DESIGN: Retrospective analysis of prospectively collected data. SETTING: Single Level 1 Trauma Center. PATIENT SELECTION CRITERIA: Patients were selected based on completion of the Patient-Reported Outcomes Measurement Information System (PROMIS) and Brief Resilience Scale (BRS) surveys 6 months after undergoing operative fracture fixation following orthopaedic trauma. Patients were excluded if they did not complete all PROMIS and BRS surveys. OUTCOME MEASURES AND COMPARISONS: Resilience, measured by the BRS, was analyzed for its effect on patient-reported outcomes, measured by PROMIS Global Physical Health, Physical Function, Pain Interference, Global Mental Health, Depression, and Anxiety. Variables collected were demographics (age, gender, race, body mass index), injury severity score, and postoperative complications (nonunion, infection). All variables were analyzed with univariate for effect on all PROMIS scores. Variables with significance were included in multivariate analysis. Patients were then separated into high resilience (BRS >4.3) and low resilience (BRS <3.0) groups for additional analysis. RESULTS: A total of 99 patients were included in the analysis. Most patients were male (53%) with an average age of 47 years. Postoperative BRS scores significantly correlated with PROMIS Global Physical Health, Pain Interference, Physical Function, Global Mental Health, Depression, and Anxiety ( P ≤ 0.001 for all scores) at 6 months after injury on both univariate and multivariate analyses. The high resilience group had significantly higher PROMIS Global Physical Health, Physical Function, and Global Mental Health scores and significantly lower PROMIS Pain Interference, Depression, and Anxiety scores ( P ≤ 0.001 for all scores). CONCLUSIONS: Resilience in orthopaedic trauma has a positive association with patient outcomes at 6 months postoperatively. Patients with higher resilience report higher scores in all PROMIS categories regardless of injury severity. Future studies directed at increasing resilience may improve outcomes in patients who experience orthopaedic trauma. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Pathogenic Roles for RNASET2 in Clear Cell Renal Cell Carcinoma.

A specific splicing isoform of RNASET2 is associated with worse oncologic outcomes in clear cell renal cell carcinoma (ccRCC). However, the interplay between wild-type RNASET2 and its splice variant and how this might contribute to the pathogenesis of ccRCC remains poorly understood. We sought to better understand the relationship of RNASET2 in the pathogenesis of ccRCC and the interplay with a pathogenic splicing isoform (RNASET2-SV) and the tumor immune microenvironment. Using data from The Cancer Genome Atlas and Clinical Proteomic Tumor Analysis Consortium, we correlated clinical variables to RNASET2 expression and the presence of a specific RNASET2-SV. Immunohistochemical staining with matched RNA sequencing of ccRCC patients was then utilized to understand the spatial relationships of RNASET2 with immune cells. Finally, in vitro studies were performed to demonstrate the oncogenic role of RNASET2 and highlight its potential mechanisms. RNASET2 gene expression is associated with higher grade tumors and worse overall survival in The Cancer Genome Atlas cohort. The presence of the RNASET2-SV was associated with increased expression of the wild-type RNASET2 protein and epigenetic modifications of the gene. Immunohistochemical staining revealed increased intracellular accumulation of RNASET2 in patients with increased RNA expression of RNASET2-SV. In vitro experiments reveal that this accumulation results in increased cell proliferation, potentially from altered metabolic pathways. RNASET2 exhibits a tumor-promoting role in the pathogenesis of ccRCC that is increased in the presence of a specific RNASET2-SV and associated with changes in the cellular localization of the protein.

Histology-guided mathematical model of tumor oxygenation: sensitivity analysis of physical and computational parameters.

A hybrid off-lattice agent-based model has been developed to reconstruct the tumor tissue oxygenation landscape based on histology images and simulated interactions between vasculature and cells with microenvironment metabolites. Here, we performed a robustness sensitivity analysis of that model's physical and computational parameters. We found that changes in the domain boundary conditions, the initial conditions, and the Michaelis constant are negligible and, thus, do not affect the model outputs. The model is also not sensitive to small perturbations of the vascular influx or the maximum consumption rate of oxygen. However, the model is sensitive to large perturbations of these parameters and changes in the tissue boundary condition, emphasizing an imperative aim to measure these parameters experimentally.

Androgen drives melanoma invasiveness and metastatic spread by inducing tumorigenic fucosylation.

Melanoma incidence and mortality rates are historically higher for men than women. Although emerging studies have highlighted tumorigenic roles for the male sex hormone androgen and its receptor (AR) in melanoma, cellular and molecular mechanisms underlying these sex-associated discrepancies are poorly defined. Here, we delineate a previously undisclosed mechanism by which androgen-activated AR transcriptionally upregulates fucosyltransferase 4 (FUT4) expression, which drives melanoma invasiveness by interfering with adherens junctions (AJs). Global phosphoproteomic and fucoproteomic profiling, coupled with in vitro and in vivo functional validation, further reveal that AR-induced FUT4 fucosylates L1 cell adhesion molecule (L1CAM), which is required for FUT4-increased metastatic capacity. Tumor microarray and gene expression analyses demonstrate that AR-FUT4-L1CAM-AJs signaling correlates with pathological staging in melanoma patients. By delineating key androgen-triggered signaling that enhances metastatic aggressiveness, our findings help explain sex-associated clinical outcome disparities and highlight AR/FUT4 and its effectors as potential prognostic biomarkers and therapeutic targets in melanoma.

Characteristics of Femoral Shaft Fractures That Predict Ipsilateral Femoral Neck Fractures.

INTRODUCTION: This study aims to characterize radiographic features and fracture characteristics in femoral shaft fractures with associated femoral neck fractures, with the goal of establishing predictive indicators for the presence of ipsilateral femoral neck fractures (IFNFs). METHODS: A retrospective cohort was collected from the electronic medical record of three level I trauma centers over a 5-year period (2017 to 2022) by current procedural terminology (CPT) codes. Current CPT codes for combined femoral shaft and IFNFs were identified to generate our study group. CPT codes for isolated femur fractures were identified to generate a control group. RESULTS: One hundred forty patients comprised our IFNF cohort, and 280 comprised the control cohort. On univariate, there were significant differences in mechanism of injury (P < 0.001), Orthopedic Trauma Association (OTA)/Arbeitsgemeinshaft fur Osteosynthesefragen (AO) classification (P = 0.002), and fracture location (P < 0.001) between cohorts. On multivariate, motor vehicle crashes were more commonly associated with IFNFs compared with other mechanism of injuries. OTA/AO 32A fractures were more commonly associated with IFNFs when compared with OTA/AO 32B fractures (adjusted odds ratio = 0.36, P < 0.001). Fractures through the isthmus were significantly more commonly associated with IFNFs than fractures more proximal (adjusted odds ratio = 2.52, P = 0.011). DISCUSSION: Detecting IFNFs in femoral shaft fractures is challenging. Motor vehicle crashes and motorcycle collisions, OTA/AO type 32A fractures, and isthmus fractures are predictive of IFNFs.

Effective conservation of subterranean-roosting bats.

Bats frequently inhabit caves and other subterranean habitats and play a critical role in subterranean food webs. With escalating threats to subterranean ecosystems, identifying the most effective measures to protect subterranean-roosting bats is critical. We conducted a meta-analysis to evaluate the effectiveness of conservation and management interventions for subterranean-roosting bats. We used network analyses to determine to what extent interventions for bats overlap those used for other subterranean taxa. We conducted our analyses with data extracted from 345 papers recommending a total of 910 conservation interventions. Gating of roost entrances was applied to preserve bat populations in 21 studies, but its effectiveness was unclear. Habitat restoration and disturbance reduction positively affected bat populations and bat behavior, respectively, in ≤4 studies. Decontamination was assessed in 2 studies and positively affected bat populations, particularly in studies focused on reducing fungal spores associated with white-nose syndrome in North America. Monitoring of bat populations as an effective conservation strategy was unclear and infrequently tested. Only 4% of bat studies simultaneously considered other subterranean organisms. However, effective interventions for bat conservation had similarities with all other organisms. If other subterranean organisms are considered when applying interventions to conserve bats, they might also benefit.

Conservación eficiente de murciélagos subterráneos Resumen Es común que los murciélagos habiten en cuevas y otros hábitats subterráneos y contribuyan a las redes alimenticias bajo tierra. Ya que estos ecosistemas cada vez se enfrentan a más amenazas, es importante identificar las medidas más efectivas para proteger a los murciélagos subterráneos. Realizamos un metaanálisis para evaluar la eficiencia de la conservación y las intervenciones de manejo para estos mamíferos. Usamos un análisis de redes para determinar el grado al que las intervenciones en pro de los murciélagos se traslapan con aquellas usadas para otros taxones subterráneos. Realizamos nuestros análisis con datos extraídos de 345 artículos que recomendaban 910 intervenciones de conservación. Se aplicó la colocación de compuertas en la entrada de los dormideros para conservar la población de murciélagos en 21 estudios, pero no quedó clara su efectividad. La restauración del hábitat y la reducción de las perturbaciones afectaron, respectivamente, a las poblaciones y al comportamiento de los murciélagos en ≤ 4 cuatro estudios. Se evaluó a la desinfección en dos estudios y ésta tuvo un efecto positivo sobre las poblaciones, particularmente en los estudios enfocados en la reducción de esporas micóticas asociadas con el síndrome de nariz blanca en América del Norte. La eficiencia del monitoreo de las poblaciones de murciélagos como una estrategia de conservación no fue clara y casi nunca se evaluó. Sólo el 4% de los estudios sobre murciélagos consideró simultáneamente a otros organismos subterráneos. Sin embargo, las intervenciones eficientes para la conservación de murciélagos tuvieron similitudes con las de todos los demás organismos. Otros organismos pueden beneficiarse si se les considera cuando se aplican las intervenciones para conservar a los murciélagos.

Coronoid Fragment Size in Monteggia Fractures Predicts Ultimate Function.

We sought to determine what effect the size of a displaced coronoid fracture fragment in Monteggia injuries has on clinical outcome. Sixty-seven patients presented to an academic medical center for operative fixation of a Monteggia fracture. Radiographs were assessed for length and height of the displaced coronoid fragment using measuring tools in our center's imaging archive system. Data were analyzed using binary logistic or linear regression, as appropriate, controlling for sex, age, and Charlson Comorbidity Index. Outcome measurements included radiographic healing, range of motion, postoperative complications, and reoperation. The cohort had a mean follow-up of 16.7 months. Mean coronoid fragment area was 362.4±155.9 mm2. Elbow range of motion decreased by 3.8° of elbow flexion (P<.001), 3.3° of elbow extension (P<.001), and 3.8° of forearm supination (P=.007) for every 1-cm2 increase in coronoid fragment area. Complications (P=.012) and reoperation (P=.036) were associated with increasing coronoid fragment area. Nonunion rate, nerve injury, and pronation range of motion were not correlated to increasing coronoid fracture fragment area (P=.777, P=.123, and P=.351, respectively). As displaced coronoid fragment size increases in Monteggia fracture patterns, elbow range of motion decreases linearly. Coronoid displacement was also associated with increased rates of postoperative complication and need for reoperation. [Orthopedics. 2024;47(1):15-21.].

Targeting intracellular oncoproteins with dimeric IgA promotes expulsion from the cytoplasm and immune-mediated control of epithelial cancers.

Dimeric IgA (dIgA) can move through cells via the IgA/IgM polymeric immunoglobulin receptor (PIGR), which is expressed mainly on mucosal epithelia. Here, we studied the ability of dIgA to target commonly mutated cytoplasmic oncodrivers. Mutation-specific dIgA, but not IgG, neutralized KRASG12D within ovarian carcinoma cells and expelled this oncodriver from tumor cells. dIgA binding changed endosomal trafficking of KRASG12D from accumulation in recycling endosomes to aggregation in the early/late endosomes through which dIgA transcytoses. dIgA targeting of KRASG12D abrogated tumor cell proliferation in cell culture assays. In vivo, KRASG12D-specific dIgA1 limited the growth of KRASG12D-mutated ovarian and lung carcinomas in a manner dependent on CD8+ T cells. dIgA specific for IDH1R132H reduced colon cancer growth, demonstrating effective targeting of a cytoplasmic oncodriver not associated with surface receptors. dIgA targeting of KRASG12D restricted tumor growth more effectively than small-molecule KRASG12D inhibitors, supporting the potential of this approach for the treatment of human cancers.

Brain metastasis-associated fibroblasts secrete fucosylated PVR/CD155 that induces breast cancer invasion.

Brain metastasis cancer-associated fibroblasts (bmCAFs) are emerging as crucial players in the development of breast cancer brain metastasis (BCBM), but our understanding of the underlying molecular mechanisms is limited. In this study, we aim to elucidate the pathological contributions of fucosylation (the post-translational modification of proteins by the dietary sugar L-fucose) to tumor-stromal interactions that drive the development of BCBM. Here, we report that patient-derived bmCAFs secrete high levels of polio virus receptor (PVR), which enhance the invasive capacity of BC cells. Mechanistically, we find that HIF1α transcriptionally upregulates fucosyltransferase 11, which fucosylates PVR, triggering its secretion from bmCAFs. Global phosphoproteomic analysis of BC cells followed by functional verification identifies cell-cell junction and actin cytoskeletal signaling as modulated by bmCAF-secreted, -fucosylated PVR. Our findings delineate a hypoxia- and fucosylation-regulated mechanism by which bmCAFs contribute to the invasiveness of BCBM in the brain.

Proximate and distant determinants of maternal and neonatal mortality in the postnatal period: A scoping review of data from low- and middle-income countries.

Global maternal and neonatal mortality rates remain unacceptably high. The postnatal period, encompassing the first hour of life until 42 days, is critical for mother-baby dyads, yet postnatal care (PNC) coverage is low. Identifying mother-baby dyads at increased risk for adverse outcomes is critical. Yet few efforts have synthesized research on proximate and distant factors associated with maternal and neonatal mortality during the postnatal period. This scoping review identified proximate and distant factors associated with maternal and neonatal mortality during the postnatal period within low- and middle-income countries (LMICs). A rigorous, systematic search of four electronic databases was undertaken to identify studies published within the last 11 years containing data on risk factors among nationally representative samples. Results were synthesized narratively. Seventy-nine studies were included. Five papers examined maternal mortality, one focused on maternal and neonatal mortality, and the rest focused on neonatal mortality. Regarding proximate factors, maternal age, parity, birth interval, birth order/rank, neonate sex, birth weight, multiple-gestation, previous history of child death, and lack of or inadequate antenatal care visits were associated with increased neonatal mortality risk. Distant factors for neonatal mortality included low levels of parental education, parental employment, rural residence, low household income, solid fuel use, and lack of clean water. This review identified risk factors that could be applied to identify mother-baby dyads with increased mortality risk for targeted PNC. Given risks inherent in pregnancy and childbirth, adverse outcomes can occur among dyads without obvious risk factors; providing timely PNC to all is critical. Efforts to reduce the prevalence of risk factors could improve maternal and newborn outcomes. Few studies exploring maternal mortality risk factors were available; investments in population-based studies to identify factors associated with maternal mortality are needed. Harmonizing categorization of factors (e.g., age, education) is a gap for future research.

Rapid, high throughput, automated detection of SARS-CoV-2 neutralizing antibodies against Wuhan-WT, delta and omicron BA1, BA2 spike trimers.

Traditional cellular and live-virus methods for detection of SARS-CoV-2 neutralizing antibodies (nAbs) are labor- and time-intensive, and thus not suited for routine use in the clinical lab to predict vaccine efficacy and natural immune protection. Here, we report the development and validation of a rapid, high throughput method for measuring SARS-CoV-2 nAbs against native-like trimeric spike proteins. This assay uses a blockade of human angiotensin converting enzyme 2 (hACE-2) binding (BoAb) approach in an automated digital immunoassay on the Quanterix HD-X platform. BoAb assays using Wuhan-WT (vaccine strain), delta (B.1.167.2), omicron BA1 and BA2 variant viral strains showed strong correlation with cell-based pseudovirus neutralization activity (PNA) and live-virus neutralization activity. Importantly, we were able to detect similar patterns of delta and omicron variant resistance to neutralization in samples with paired vaccine strain and delta variant BoAb measurements. Finally, we screened clinical samples from patients with or without evidence of SARS-CoV-2 exposure by a single-dilution screening version of our assays, finding significant nAb activity only in exposed individuals. Importantly, this completely automated assay can be performed in 4 h to measure neutralizing antibody titers for 16 samples over 8 serial dilutions or, 128 samples at a single dilution with replicates. In principle, these assays offer a rapid, robust, and scalable alternative to time-, skill-, and cost-intensive standard methods for measuring SARS-CoV-2 nAb levels.

Impact of Notches on Additively Manufactured Inconel 718 Tensile Performance.

This study was completed in effort to characterize the notch sensitivity of additively manufactured (AM) Inconel 718 produced by laser powder bed fusion (L-PBF). Three different root radii on V-notched test specimens and smooth specimens were evaluated under tensile conditions for specimens built in vertical and horizontal orientations. Both the total axial strain and localized notch diametral strain were measured. Finite element analysis (FEA) was completed on each specimen geometry to confirm the actual strain measurements near the notch. Test results showed the tensile strength of the notched specimens were larger than the tensile strength values of the smooth specimens. These tensile results equate to a notch-sensitivity ratio (NSR) greater than one, indicating that the L-PBF Inconel 718 material is a notch-strengthened material. It is suspected that the notch strengthening is a result of increased triaxial stress produced near the notch tip causing added material constraints, resulting in higher strength values for the notched specimens. Fractography analysis was completed on the various fracture surfaces and identified a dominate ductile failure mode within all of the specimens; however, the amount of ductility reduced with smaller notch root radii. While this study provides the initial notch responses of the L-PBF Inconel 718, further research must be completed in regard to the impact of notches on more complex loading behaviors, such as fatigue and stress-rupture conditions.

Lipid droplets modulate proteostasis, SQST-1/SQSTM1 dynamics, and lifespan in C. elegans.

In several long-lived Caenorhabditis elegans strains, such as insulin/IGF-1 receptor daf-2 mutants, enhanced proteostatic mechanisms are accompanied by elevated intestinal lipid stores, but their role in longevity is unclear. Here, while determining the regulatory network of the selective autophagy receptor SQST-1/SQSTM1, we uncovered an important role for lipid droplets in proteostasis and longevity. Using genome-wide RNAi screening, we identified several SQST-1 modulators, including lipid droplets-associated and aggregation-prone proteins. Expansion of intestinal lipid droplets by silencing the conserved cytosolic triacylglycerol lipase gene atgl-1/ATGL enhanced autophagy, and extended lifespan. Notably, a substantial amount of ubiquitinated proteins were found on lipid droplets. Reducing lipid droplet levels exacerbated the proteostatic collapse when autophagy or proteasome function was compromised, and significantly reduced the lifespan of long-lived daf-2 animals. Altogether, our study uncovered a key role for lipid droplets in C. elegans as a proteostatic mediator that modulates ubiquitinated protein accumulation, facilitates autophagy, and promotes longevity.

Mathematical Modeling of Clonal Interference by Density-Dependent Selection in Heterogeneous Cancer Cell Lines.

Many cancer cell lines are aneuploid and heterogeneous, with multiple karyotypes co-existing within the same cell line. Karyotype heterogeneity has been shown to manifest phenotypically, thus affecting how cells respond to drugs or to minor differences in culture media. Knowing how to interpret karyotype heterogeneity phenotypically would give insights into cellular phenotypes before they unfold temporally. Here, we re-analyzed single cell RNA (scRNA) and scDNA sequencing data from eight stomach cancer cell lines by placing gene expression programs into a phenotypic context. Using live cell imaging, we quantified differences in the growth rate and contact inhibition between the eight cell lines and used these differences to prioritize the transcriptomic biomarkers of the growth rate and carrying capacity. Using these biomarkers, we found significant differences in the predicted growth rate or carrying capacity between multiple karyotypes detected within the same cell line. We used these predictions to simulate how the clonal composition of a cell line would change depending on density conditions during in-vitro experiments. Once validated, these models can aid in the design of experiments that steer evolution with density-dependent selection.

Development of a genetically-encoded sensor for probing endogenous nociceptin opioid peptide release.

Nociceptin/orphanin-FQ (N/OFQ) is a recently appreciated critical opioid peptide with key regulatory functions in several central behavioral processes including motivation, stress, feeding, and sleep. The functional relevance of N/OFQ action in the mammalian brain remains unclear due to a lack of high-resolution approaches to detect this neuropeptide with appropriate spatial and temporal resolution. Here we develop and characterize NOPLight, a genetically encoded sensor that sensitively reports changes in endogenous N/OFQ release. We characterized the affinity, pharmacological profile, spectral properties, kinetics, ligand selectivity, and potential interaction with intracellular signal transducers of NOPLight in vitro. Its functionality was established in acute brain slices by exogeneous N/OFQ application and chemogenetic induction of endogenous N/OFQ release from PNOC neurons. In vivo studies with fiber photometry enabled a direct recording of binding by N/OFQ receptor ligands, as well as the detection of natural or chemogenetically-evoked endogenous N/OFQ release within the paranigral ventral tegmental area (pnVTA). In summary, we show that NOPLight can be used to detect N/OFQ opioid peptide signal dynamics in tissue and freely-behaving animals.

How do surgeons decide when to treat proximal humerus fractures with operative versus nonoperative management?

PURPOSE: The objective of this study was to determine the underlying factors that drive the decision for surgeons to pursue operative versus nonoperative management for proximal humerus fractures (PHF) and if fellowship training had an impact on these decisions. METHODS: An electronic survey was distributed to members of the Orthopaedic Trauma Association and the American Shoulder and Elbow Surgeons Society to assess differences in patient selection for operative versus nonoperative management of PHF. Descriptive statistics were reported for all respondents. RESULTS: A total of 250 fellowship trained Orthopaedic Surgeons responded to the online survey. A greater proportion of trauma surgeons preferred nonoperative management for displaced PHF fractures in patients over the age of 70. Operative management was preferred for older patients with fracture dislocations (98%), limited humeral head bone subchondral bone (78%), and intraarticular head split (79%). Similar proportions of trauma surgeons and shoulder surgeons cited that acquiring a CT was crucial to distinguish between operative and nonoperative management. CONCLUSION: We found that surgeons base their decisions on when to operate primarily on patient's comorbidities, age, and the amount of fracture displacement when treating younger patients. Further, we found a greater proportion of trauma surgeons elected to proceed with nonoperative management in patients older than the age of 70 years old as compared to shoulder surgeons.

Classifying Malignancy in Prostate Glandular Structures from Biopsy Scans with Deep Learning.

Histopathological classification in prostate cancer remains a challenge with high dependence on the expert practitioner. We develop a deep learning (DL) model to identify the most prominent Gleason pattern in a highly curated data cohort and validate it on an independent dataset. The histology images are partitioned in tiles (14,509) and are curated by an expert to identify individual glandular structures with assigned primary Gleason pattern grades. We use transfer learning and fine-tuning approaches to compare several deep neural network architectures that are trained on a corpus of camera images (ImageNet) and tuned with histology examples to be context appropriate for histopathological discrimination with small samples. In our study, the best DL network is able to discriminate cancer grade (GS3/4) from benign with an accuracy of 91%, F1-score of 0.91 and AUC 0.96 in a baseline test (52 patients), while the cancer grade discrimination of the GS3 from GS4 had an accuracy of 68% and AUC of 0.71 (40 patients).

Comprehensive Evaluation of an HPLC-MS-MS Method for Quantitation of Seven Anti-Coagulant Rodenticides and Dicoumarol in Animal Serum.

Anti-coagulant rodenticides (ARs) are commonly utilized for controlling rodent populations; however, non-target companion and wildlife animals are also exposed. A method was developed for quantitation of seven ARs (chlorophacinone, coumachlor, bromadiolone, brodifacoum, difethialone, diphacinone and warfarin) and dicoumarol (a naturally occurring anti-coagulant) in animal serum. Analytes were extracted with 10% (v/v) acetone in methanol and analyzed by reverse phase high-performance liquid chromatography-tandem mass spectrometry using electrospray ionization (negative mode) combined with multiple reaction monitoring. In-house method validation in the originating laboratory using non-blinded samples revealed method limits of quantitation at 2.5 ng/mL for all analytes. The inter-assay accuracy ranged from 99% to 104%, and the relative standard deviation ranged from 3.5% to 20.5%. Method performance was then verified in the originating laboratory during an exercise organized by an independent party using blinded samples. The method was successfully transferred to two naïve laboratories and further evaluated for reproducibility among three laboratories by means of Horwitz ratio (HorRat(R)) values. Such extensive validation provides a high degree of confidence that the method is rugged, robust, and will perform as expected if used by others in the future.

Improved Decision Making for Water Lead Testing in U.S. Child Care Facilities Using Machine-Learned Bayesian Networks.

Tap water lead testing programs in the U.S. need improved methods for identifying high-risk facilities to optimize limited resources. In this study, machine-learned Bayesian network (BN) models were used to predict building-wide water lead risk in over 4,000 child care facilities in North Carolina according to maximum and 90th percentile lead levels from water lead concentrations at 22,943 taps. The performance of the BN models was compared to common alternative risk factors, or heuristics, used to inform water lead testing programs among child care facilities including building age, water source, and Head Start program status. The BN models identified a range of variables associated with building-wide water lead, with facilities that serve low-income families, rely on groundwater, and have more taps exhibiting greater risk. Models predicting the probability of a single tap exceeding each target concentration performed better than models predicting facilities with clustered high-risk taps. The BN models' Fß-scores outperformed each of the alternative heuristics by 118-213%. This represents up to a 60% increase in the number of high-risk facilities that could be identified and up to a 49% decrease in the number of samples that would need to be collected by using BN model-informed sampling compared to using simple heuristics. Overall, this study demonstrates the value of machine-learning approaches for identifying high water lead risk that could improve lead testing programs nationwide.

Combination IFNß and Membrane-Stable CD40L Maximize Tumor Dendritic Cell Activation and Lymph Node Trafficking to Elicit Systemic T-cell Immunity.

Oncolytic virus therapies induce the direct killing of tumor cells and activation of conventional dendritic cells (cDC); however, cDC activation has not been optimized with current therapies. We evaluated the adenoviral delivery of engineered membrane-stable CD40L (MEM40) and IFNß to locally activate cDCs in mouse tumor models. Combined tumor MEM40 and IFNß expression induced the highest cDC activation coupled with increased lymph node migration, increased systemic antitumor CD8+ T-cell responses, and regression of established tumors in a cDC1-dependent manner. MEM40 + IFNß combined with checkpoint inhibitors led to effective control of distant tumors and lung metastases. An oncolytic adenovirus (MEM-288) expressing MEM40 + IFNß  in phase I clinical testing induced cancer cell loss concomitant with enhanced T-cell infiltration and increased systemic presence of tumor T-cell clonotypes in non-small cell lung cancer (NSCLC) patients. This approach to simultaneously target two major DC-activating pathways has the potential to significantly affect the solid tumor immunotherapy landscape.