COVID-19 Risk Assessment among Vulnerable Small Business Owners in El Paso County, Texas.

BACKGROUND: Our objective was to deliver actionable, worksite-specific COVID-19 risk assessments and mitigation strategies tailored to vulnerable workers in one of the highest-risk areas in the US. METHODS: Four trained, bilingual (English/Spanish) Community Health Workers (CHWs) recruited small businesses (i.e., ≤20 employees) across various industries and executed novel on-site infectious disease risk assessment surveys of at least one employer and one employee. RESULTS: Of 102 participating businesses (95% Hispanic-owned), 96% were characterized as "high risk" or "very high risk" for disease transmission. All businesses reported implementing at least one practice to reduce disease transmission; however, almost half of businesses lacked at least 13 of the 17 controls identified to mitigate risk. CONCLUSIONS: Tailored, culturally sensitive outreach led by CHWs identified and educated businesses on critical hazards, and these methods may be transferable to similar communities.

Neurturin GF Enhances the Acute Cytokine Response of Inflamed Skin.

Epidermal keratinocytes, immune cells, and sensory nerves all contribute to immune balance and skin homeostasis. Keratinocyte's release of GFs, neuromodulators, and immune activators is particularly important because each can evoke local (skin) and systemic (ie, immune and neural) responses that can initiate and exacerbate skin pathophysiology. From studies of skin and neural GFs, we hypothesized that neurturin (Nrtn), a member of the GDNF family that is expressed in the skin, has particular importance in this process. In this study, we examine how elevation of Nrtn in skin keratinocytes impacts early cytokine expression in response to complete Freund's adjuvant-mediated inflammation. Nrtn-overexpressing mice and wild-type mice injected with Nrtn exhibit an enhanced level of TNFα and IL-1ß cytokines in the skin, a response previously shown to support healing. In vitro assays suggest that one source of the Nrtn-induced TNFα increase is keratinocytes, which are shown to express Nrtn and mRNAs encoding the Nrtn receptors GFRα2, Ret, ITGB1, and NCAM. These findings support the contribution of keratinocyte-derived Nrtn as an autocrine/paracrine factor that acts as a first-line defense molecule that regulates the initial cytokine response to inflammatory challenge.

Effects of Resource Sharing Networks on Community Anti-Drug Coalitions' Outcomes: A Social Network Analysis.

Substance use-related problems continue to be a national public health crisis despite years of prevention efforts. Community anti-drug coalitions are well positioned to address substance use at local levels. Coalitions often rely on their members to connect to resources they need to address community issues and plan for sustainability over time. Such capacity building occurs through voluntary cooperation among members, making it essential to understand the role network connections play. This study sought to determine whether structural characteristics of coalitions' resource sharing networks impact members' perceptions of community improvement and coalition sustainability. Surveys at two timepoints collected data from 68 coalitions in Pennsylvania and Missouri on members' connections or ties to share information, personnel, money, or other types of collaboration. Analyses examined how coalition-level measurements of sectoral diversity, density, and resource sharing centralization, respectively, were associated with members' perceptions of community improvement, sustainability planning, and coalition sustainability. Sectoral diversity and centralization were unrelated to study outcomes. Density was also unrelated with perceived community improvement and sustainability planning. However, two facets of cooperative density were positively associated with perceived coalition sustainability: the density of ties to share information and the density of multiple types of collaborative ties. This study suggests that both information and other collaborative ties foster perceived coalition sustainability, although not community improvement.

Quantitative Analysis of Small Intestinal Motility in 3D Cine-MRI Using Centerline-Aware Motion Estimation.

BACKGROUND: Currently available tools for noninvasive motility quantification of the small intestine are limited to dynamic 2D MRI scans, which are limited in their ability to differentiate between types of intestinal motility. PURPOSE: To develop a method for quantification and characterization of small intestinal motility in 3D, capable of differentiating motile, non-motile and peristaltic motion patterns. STUDY TYPE: Prospective. SUBJECTS: Fourteen healthy volunteers (127 small intestinal segments) and 10 patients with Crohn's disease (87 small intestinal segments). FIELD STRENGTH/SEQUENCE: 3.0 T, 3D balanced fast field echo sequence, 1 volume per second. ASSESSMENT: Using deformable image registration between subsequent volumes, the local velocity within the intestinal lumen was quantified. Average velocity and average absolute velocity along intestinal segments were used with linear classifiers to differentiate motile from non-motile intestines, as well as erratic motility from peristalsis. The mean absolute velocity of small intestinal content was compared between healthy volunteers and Crohn's disease patients, and the discriminative power of the proposed motility metrics for detecting motility and peristalsis was determined. The consensus of two observers was used as referenced standard. STATISTICAL TESTS: Student's t-test to assess differences between groups; area under the receiver operating characteristic curve (AUC) to assess discriminative ability. P < 0.001 was considered significant. RESULTS: A significant difference in the absolute velocity of intestinal content between Crohn's patients and healthy volunteers was observed (median [IQR] 1.06 [0.61, 1.56] mm/s vs. 1.84 [1.37, 2.43] mm/s), which was consistent with manual reference annotations of motile activity. The proposed method had a strong discriminative performance for detecting non-motile intestines (AUC 0.97) and discernible peristalsis (AUC 0.81). DATA CONCLUSION: Analysis of 3D cine-MRI using centerline-aware motion estimation has the potential to allow noninvasive characterization of small intestinal motility and peristaltic motion in 3D. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 2.

Rhodomyrtone: a new anti-Staphylococcus aureus agent against resistant strains.

Background: Rhodomyrtone is a novel plant-derived antibiotic compound originally isolated from Rhodomyrtus tomentosa leaf extract. Objectives: To evaluate the activity of rhodomyrtone against a group of MRSA strains, including isolates with reduced susceptibility or resistance to vancomycin, daptomycin, linezolid and ceftaroline. Methods: Broth microdilution testing was used to determine the MICs and MBCs of rhodomyrtone, fosfomycin, vancomycin, daptomycin, linezolid and ceftaroline. Results: ROM had an MIC90 of 1 mg/L against 110 strains of MRSA from blood isolates as well as for all other isolates that were daptomycin resistant, VISA, VRSA or LRSA. The MBC90 were 4 mg/L across all groups tested. Among all S. aureus groups tested the ROM MBC did not exceed 8 mg/L. Conclusions: Rhodomyrtone demonstrated excellent activity against MRSA as well as isolates with resistance or reduced activity to other anti-MRSA drugs including vancomycin, daptomycin and linezolid. Rhodomyrtone may have potential clinical utility when treating patients with infections caused by MRSA including those with reduced susceptibility to first-line anti-MRSA antimicrobial agents.

Unpredictable Mixed-Valence Outcomes Induce a Chronic and Reversible Generalized Anxiety-like Phenotype in Male Mice.

Background: Clinical anxiety is a generalized state characterized by feelings of apprehensive expectation and is distinct from momentary responses such as fear or stress. In contrast, most laboratory tests of anxiety focus on acute responses to momentary stressors. Methods: Apprehensive expectation was induced by subjecting mice (for 18 days) to manipulations in which a running response (experiment 1) or a conditioned stimulus (experiment 2) were unpredictably paired with reward (food) or punishment (footshock). Before this treatment, the mice were tested in an open field and light/dark box to assess momentary responses that are asserted to reflect state anxiety. After treatment, the mice were assessed for state anxiety in an elevated plus maze, social interaction test, startle response test, intrusive object burying test, and stress-induced corticosterone elevations. In experiment 3, we treated mice similarly to experiment 1, but after mixed-valence training, some mice received either no additional training, additional mixed-valence training, or were shifted to consistent (predictable) reinforcement with food. Results: We consistently observed an increase in anxiety-like behaviors after the experience with mixed-valence unpredictable reinforcement. This generalized anxiety persisted for at least 4 weeks after the mixed-valence training and could be reversed if the mixed-valence training was followed by predictable reinforcement with food. Conclusions: Results indicate that experience with unpredictable reward/punishment can induce a chronic state analogous to generalized anxiety that can be mitigated by exposure to stable, predictable conditions. This learned apprehension protocol provides a conceptually valid model for the study of the etiology and treatment of anxiety in laboratory animals.

Anxiety disorders have a complex etiology that is difficult to study in laboratory animals because most laboratory manipulations do not induce a chronic, generalized condition analogous to the clinical disorder. Here, laboratory mice developed approach-avoidance conflicts when a response was unpredictably rewarded or punished. These conditions (but not predictable outcomes) promoted a long-lasting general increase in a range of behaviors and stress hormones that reflect underlying anxiety, and remedial exposure to predictable conditions of reward and punishment ameliorated the generalized state. These results represent the development of a conceptually valid animal model for the study of anxiety and suggest conditions that can contribute to the etiology and treatment of anxiety.

Determining if the prognostic nutritional index can predict outcomes in community acquired bacterial pneumonia.

BACKGROUND: The Prognostic Nutritional Index (PNI) uses albumin levels and total lymphocyte count to predict the relationship between immune-nutritional state and prognosis in a variety of diseases, however it has not been studied in community acquired bacterial pneumonia (CABP). We conducted a historical cohort study to determine if there was an association between PNI and clinical outcomes in patients with CABP. METHODS: We reviewed 204 adult patients with confirmed CABP, and calculated admission PNI and Neutrophil-to-Lymphocyte Ratio (NLR). A comparative analysis was performed to determine the association of these values, as well as other risk factors, with the primary outcomes of 30-day readmissions and death. RESULTS: Of the 204 patients, 56.9% (116) were male, 48% (98) were black/African American and the mean age was 63.2 ± 16.1 years. The NLR was neither associated with death nor 30-day readmission. The mean PNI in those who survived was 34.7 ± 4.5, compared to 30.1 ± 6.5, in those who died, p < 0.001. From multivariable analysis after controlling for the Charlson score and age, every one-unit increase in the PNI decreased the risk of death by 13.6%. The PNI was not associated with readmissions. CONCLUSIONS: These findings suggest that poor immune and nutritional states, as reflected by PNI, both contribute to mortality, with a significant negative correlation between PNI and death in CABP. PNI was predictive of mortality in this patient cohort; NLR was not. Monitoring of albumin and lymphocyte count in CABP can provide a means for prevention and early intervention.

A Chronic Increase in Blood-Brain Barrier Permeability Facilitates Intraneuronal Deposition of Exogenous Bloodborne Amyloid-Beta1-42 Peptide in the Brain and Leads to Alzheimer's Disease-Relevant Cognitive Changes in a Mouse Model.

Background: Increased blood-brain barrier (BBB) permeability and amyloid-ß (Aß) peptides (especially Aß1-42) (Aß42) have been linked to Alzheimer's disease (AD) pathogenesis, but the nature of their involvement in AD-related neuropathological changes leading to cognitive changes remains poorly understood. Objective: To test the hypothesis that chronic extravasation of bloodborne Aß42 peptide and brain-reactive autoantibodies and their entry into the brain parenchyma via a permeable BBB contribute to AD-related pathological changes and cognitive changes in a mouse model. Methods: The BBB was rendered chronically permeable through repeated injections of Pertussis toxin (PT), and soluble monomeric, fluorescein isothiocyanate (FITC)-labeled or unlabeled Aß42 was injected into the tail-vein of 10-month-old male CD1 mice at designated intervals spanning ∼3 months. Acquisition of learned behaviors and long-term retention were assessed via a battery of cognitive and behavioral tests and linked to neuropathological changes. Results: Mice injected with both PT and Aß42 demonstrated a preferential deficit in the capacity for long-term retention and an increased susceptibility to interference in selective attention compared to mice exposed to PT or saline only. Immunohistochemical analyses revealed increased BBB permeability and entry of bloodborne Aß42 and immunoglobulin G (IgG) into the brain parenchyma, selective neuronal binding of IgG and neuronal accumulation of Aß42 in animals injected with both PT and Aß42 compared to controls. Conclusion: Results highlight the potential synergistic role of BBB compromise and the influx of bloodborne Aß42 into the brain in both the initiation and progression of neuropathologic and cognitive changes associated with AD.

Supporting Peer Support Workers and Their Supervisors: Cluster-Randomized Trial Evaluating a Systems-Level Intervention.

OBJECTIVE: Peer support workers are a substantial and growing part of the mental health workforce. Because little research has investigated how to effectively support and supervise peer support workers, the authors evaluated the efficacy of a training program to strengthen the peer support workforce and the supervision of its workers. METHODS: Mental health services sites with peer support workers and supervisors in Los Angeles County were recruited for this cluster-randomized trial and 10-month follow-up. Of 348 peer support workers and 143 supervisors at 85 sites, 251 (72%) peer support workers and 115 (80%) supervisors completed baseline surveys. SHARE! the Self-Help And Recovery Exchange, a peer-run organization, delivered four training sessions on strategies to reduce stigma and to build an effective peer workforce, cultural competence, and a trauma-informed developmental model of supervision. Primary outcomes were peer-supportive organizational climate, mental health stigma, and peer support worker recovery. RESULTS: Intention-to-treat analyses indicated that sites receiving the training had significantly higher scores on peer-supportive organizational climate (Cohen's d=0.35, 95% CI=0.02-0.68, p=0.04) relative to sites not receiving the training. No significant differences were found between the two conditions for mental health stigma (Cohen's d=0.04) or peer support worker recovery (Cohen's d=0.14). CONCLUSIONS: The training had no impact on mental health stigma or peer support worker recovery. However, the findings suggest that the training increased the value organizations gave to peer support work, which may help improve peer support worker retention and outcomes among those served. Efforts to incorporate principles of the training into practice may strengthen outcomes.

Robust Deformable Image Registration Using Cycle-Consistent Implicit Representations.

Recent works in medical image registration have proposed the use of Implicit Neural Representations, demonstrating performance that rivals state-of-the-art learning-based methods. However, these implicit representations need to be optimized for each new image pair, which is a stochastic process that may fail to converge to a global minimum. To improve robustness, we propose a deformable registration method using pairs of cycle-consistent Implicit Neural Representations: each implicit representation is linked to a second implicit representation that estimates the opposite transformation, causing each network to act as a regularizer for its paired opposite. During inference, we generate multiple deformation estimates by numerically inverting the paired backward transformation and evaluating the consensus of the optimized pair. This consensus improves registration accuracy over using a single representation and results in a robust uncertainty metric that can be used for automatic quality control. We evaluate our method with a 4D lung CT dataset. The proposed cycle-consistent optimization method reduces the optimization failure rate from 2.4% to 0.0% compared to the current state-of-the-art. The proposed inference method improves landmark accuracy by 4.5% and the proposed uncertainty metric detects all instances where the registration method fails to converge to a correct solution. We verify the generalizability of these results to other data using a centerline propagation task in abdominal 4D MRI, where our method achieves a 46% improvement in propagation consistency compared with single-INR registration and demonstrates a strong correlation between the proposed uncertainty metric and registration accuracy.

Deciphering Tumor Cell Evolution in Cutaneous T-Cell Lymphomas: Distinct Differentiation Trajectories in Mycosis Fungoides and Sézary Syndrome.

Cutaneous T-cell lymphomas are a heterogeneous group of neoplasms originating in the skin, with mycosis fungoides (MF) and Sézary syndrome (SS) representing the most common variants. The cellular origin of cutaneous lymphomas has remained controversial owing to their immense phenotypic heterogeneity that obfuscates lineage reconstruction on the basis of classical surface biomarkers. To overcome this heterogeneity and reconstruct the differentiation trajectory of malignant cells in MF and SS, TCR sequencing was performed in parallel with targeted transcriptomics at the single-cell resolution among cutaneous samples in MF and SS. Unsupervised lineage reconstruction showed that Sézary cells exist as a population of CD4+ T cells distinct from those in patch, plaque, and tumor MF. Further investigation of malignant cell heterogeneity in SS showed that Sézary cells phenotypically comprised at least 3 subsets on the basis of differential proliferation potentials and expression of exhaustion markers. A T helper 1-polarized cell type, intermediate cell type, and exhausted T helper 2-polarized cell type were identified, with T helper 1- and T helper 2-polarized cells displaying divergent proliferation potentials. Collectively, these findings provide evidence to clarify the relationship between MF and SS and reveal cell subsets in SS that suggest a possible mechanism for therapeutic resistance.

Negative attributes of mixed-valence memories strengthen over long retention intervals and the degree of enhancement is predicted by individual differences in state anxiety.

Memories are multifaceted and can simultaneously contain positive and negative attributes. Here, we report that negative attributes of a mixed-valence memory dominate long-term recall. To induce a mixed-valence memory, running responses were randomly reinforced with either food (∼83% of trials) or footshock (∼17% of trials), or a noise conditioned stimulus (CS) was followed randomly with either food (∼80% of trials) or footshock (∼20% of trials). Control animals were consistently reinforced with only food. Mixed-valence training promoted unstable behavior (e.g., erratic approach and withdrawal from the food cup) and moderate levels of fear during the training regimens. After a 20-day retention interval, animals that were consistently reinforced with food exhibited intact approach responding, and similar responding was observed if animals were food deprived or satiated (i.e., the response was insensitive to motivation). However, animals that experienced the mixed-valence training expressed significantly enhanced and stable fear (consistent immobility) relative to the end of training, regardless of whether animals were food deprived or not, suggesting that fear transitioned to a state that was insensitive to motivation. The degree of fear expressed during long-term retention was predicted by measures of state anxiety obtained prior to the training, indicating that the enhancement of fear across the retention interval was related to individual differences in basal "anxiety." These results suggest that negative attributes of memories dominate long-term recall, particularly in animals expressing an anxious phenotype, and these observations have direct implications for the chronic nature of anxiety disorders and the exacerbation of fear that accompanies posttraumatic stress disorder. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Effects of glyphosate, mancozeb and their combinations on mouse neuroblastoma cells.

Pesticides-related toxicities have long been studied. Data regarding the effects of combined exposure to environmentally relevant pesticides however remain lacking. The herbicide glyphosate and the fungicide mancozeb are extensively used in agriculture. Residues of both compounds are frequently found in food and water and therefore, environmental exposure to both pesticides is a possibility. Neurotoxicity of glyphosate, mancozeb and their combinations were investigated using mouse neuroblastoma cells. Cytotoxicity observed with the glyphosate and mancozeb combinations was higher than that observed when glyphosate was tested alone. Combinations of glyphosate followed by mancozeb increased copper, manganese, and zinc levels. Mixture of mancozeb + glyphosate increased manganese and zinc levels. Combination of mancozeb followed by glyphosate increased copper and zinc levels. Glutathione ratio was decreased as a result of combinations of glyphosate and mancozeb. The decrease in glutathione ratio was greater in the combination groups than in glyphosate alone.

3D reconstruction of skin and spatial mapping of immune cell density, vascular distance and effects of sun exposure and aging.

Mapping the human body at single cell resolution in three dimensions (3D) is important for understanding cellular interactions in context of tissue and organ organization. 2D spatial cell analysis in a single tissue section may be limited by cell numbers and histology. Here we show a workflow for 3D reconstruction of multiplexed sequential tissue sections: MATRICS-A (Multiplexed Image Three-D Reconstruction and Integrated Cell Spatial - Analysis). We demonstrate MATRICS-A in 26 serial sections of fixed skin (stained with 18 biomarkers) from 12 donors aged between 32-72 years. Comparing the 3D reconstructed cellular data with the 2D data, we show significantly shorter distances between immune cells and vascular endothelial cells (56 µm in 3D vs 108 µm in 2D). We also show 10-70% more T cells (total) within 30 µm of a neighboring T helper cell in 3D vs 2D. Distances of p53, DDB2 and Ki67 positive cells to the skin surface were consistent across all ages/sun exposure and largely localized to the lower stratum basale layer of the epidermis. MATRICS-A provides a framework for analysis of 3D spatial cell relationships in healthy and aging organs and could be further extended to diseased organs.

Low level mancozeb exposure causes copper bioaccumulation in the renal cortex of rats leading to tubular injury.

Mancozeb is a widely-used, broad-spectrum contact dithiocarbamate fungicide. Dithiocarbamates are known to trans-chelate metals. This study was designed to evaluate the potential of Mancozeb to mobilize and bioaccumulate essential trace metals in various tissues. Long-Evans rats were orally gavaged with 0, 50, or 100 mg/kg/day of Mancozeb for 28 days. Mancozeb caused a significant increase in copper and manganese in the hippocampus and manganese in the liver. Exceedingly higher level of copper was detected in the renal cortex using ICP-OES in both dose groups. This was confirmed histologically in the tubular epithelial cells. In addition, copper-associated protein levels were also increased. Copper bioaccumulation in the renal cortex was accompanied by oxidative damage and tubular insult indicated by increased 4-HNE, KIM-1, and NGAL immunoreactivity. These findings demonstrate that low-dose Mancozeb exposure is a potential risk for kidney injury due to copper overload and warrants further in vivo and human population-based investigations.

A multi-faceted role of dual-state dopamine signaling in working memory, attentional control, and intelligence.

Genetic evidence strongly suggests that individual differences in intelligence will not be reducible to a single dominant cause. However, some of those variations/changes may be traced to tractable, cohesive mechanisms. One such mechanism may be the balance of dopamine D1 (D1R) and D2 (D2R) receptors, which regulate intrinsic currents and synaptic transmission in frontal cortical regions. Here, we review evidence from human, animal, and computational studies that suggest that this balance (in density, activity state, and/or availability) is critical to the implementation of executive functions such as attention and working memory, both of which are principal contributors to variations in intelligence. D1 receptors dominate neural responding during stable periods of short-term memory maintenance (requiring attentional focus), while D2 receptors play a more specific role during periods of instability such as changing environmental or memory states (requiring attentional disengagement). Here we bridge these observations with known properties of human intelligence. Starting from theories of intelligence that place executive functions (e.g., working memory and attentional control) at its center, we propose that dual-state dopamine signaling might be a causal contributor to at least some of the variation in intelligence across individuals and its change by experiences/training. Although it is unlikely that such a mechanism can account for more than a modest portion of the total variance in intelligence, our proposal is consistent with an array of available evidence and has a high degree of explanatory value. We suggest future directions and specific empirical tests that can further elucidate these relationships.

Individual astrocyte morphology in the collagenous lamina cribrosa revealed by multicolor DiOlistic labeling.

Astrocytes in the lamina region of the optic nerve head play vital roles in supporting retinal ganglion cell axon health. In glaucoma, these astrocytes are implicated as early responders to stressors, undergoing characteristic changes in cell function as well as cell morphology. Much of what is currently known about individual lamina astrocyte morphology has been learned from rodent models which lack a defining feature of the human optic nerve head, the collagenous lamina cribrosa (LC). Current methods available for evaluation of collagenous LC astrocyte morphology have significant shortcomings. We aimed to evaluate Multicolor DiOlistic labeling (MuDi) as an approach to reveal individual astrocyte morphologies across the collagenous LC. Gold microcarriers were coated with all combinations of three fluorescent cell membrane dyes, DiI, DiD, and DiO, for a total of seven dye combinations. Microcarriers were delivered to 150 µm-thick coronal vibratome slices through the LC of pig, sheep, goat, and monkey eyes via MuDi. Labeled tissues were imaged with confocal and second harmonic generation microscopy to visualize dyed cells and LC collagenous beams, respectively. GFAP labeling of DiOlistically-labeled cells with astrocyte morphologies was used to investigate cell identity. 3D models of astrocytes were created from confocal image stacks for quantification of morphological features. DiOlistic labeling revealed fine details of LC astrocyte morphologies including somas, primary branches, higher-order branches, and end-feet. Labeled cells with astrocyte morphologies were GFAP+. Astrocytes were visible across seven distinct color channels, allowing high labeling density while still distinguishing individual cells from their neighbors. MuDi was capable of revealing tens to hundreds of collagenous LC astrocytes, in situ, with a single application. 3D astrocyte models allowed automated quantification of morphological features including branch number, length, thickness, hierarchy, and straightness as well as Sholl analysis. MuDi labeling provides an opportunity to investigate morphologies of collagenous LC astrocytes, providing both qualitative and quantitative detail, in healthy tissues. This approach may open doors for research of glaucoma, where astrocyte morphological alterations are thought to coincide with key functional changes related to disease progression.

Nutrition and Health Programming and Outreach in Grocery Retail Settings: A Community Coalition in Action.

Grocery stores can provide a conducive environment for interventions targeting healthy eating and access to health services, particularly in low-income communities. A wide array of organizations deliver nutrition and related programs in community settings, but rarely in a coordinated fashion. Collaboration of local health promotion organizations with grocery stores could increase consumers' access to and selection of healthy foods and related services. This evaluation of the In-Store Programming and Outreach Coalition (IPOC) uses thematic analysis of first-person accounts from coalition members. To our knowledge, this is the first study of such a coalition. We present perspectives from six stakeholders about the IPOC strengths, challenges, and recommendations for strengthening the delivery of in-store interventions. Themes identified include partnership, increased client reach and cross-referrals, conflicting work schedules, leadership, and recommendations to identify coalition leaders and expand services to other grocery stores. We conclude that grocery stores can offer a suitable setting for programming and community outreach through coalitions.

Case Studies for Overcoming Challenges in Using Big Data in Cancer.

The analysis of big healthcare data has enormous potential as a tool for advancing oncology drug development and patient treatment, particularly in the context of precision medicine. However, there are challenges in organizing, sharing, integrating, and making these data readily accessible to the research community. This review presents five case studies illustrating various successful approaches to addressing such challenges. These efforts are CancerLinQ, the American Association for Cancer Research Project GENIE, Project Data Sphere, the National Cancer Institute Genomic Data Commons, and the Veterans Health Administration Clinical Data Initiative. Critical factors in the development of these systems include attention to the use of robust pipelines for data aggregation, common data models, data deidentification to enable multiple uses, integration of data collection into physician workflows, terminology standardization and attention to interoperability, extensive quality assurance and quality control activity, incorporation of multiple data types, and understanding how data resources can be best applied. By describing some of the emerging resources, we hope to inspire consideration of the secondary use of such data at the earliest possible step to ensure the proper sharing of data in order to generate insights that advance the understanding and the treatment of cancer.

Molnupiravir and Nirmatrelvir-Ritonavir: Oral Coronavirus Disease 2019 Antiviral Drugs.

At a crucial time with rapid spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant globally, the United States Food and Drug Administration has issued an emergency use authorization for 2 oral antivirals, molnupiravir (in persons aged ≥18 years) and nirmatrelvir-ritonavir (Paxlovid) (in persons aged ≥12 years weighing ≥40 kg), for the outpatient treatment of patients with mild to moderate coronavirus disease 2019 (COVID-19) who are at risk for progression. Molnupiravir is a nucleoside analogue, whereas nirmatrelvir is a SARS-CoV-2 main protease inhibitor, and ritonavir is a human immunodeficiency virus type 1 protease inhibitor. Drug interactions are a major concern for nirmatrelvir-ritonavir. Nirmatrelvir-ritonavir demonstrated a greater risk reduction in hospitalization and death than molnupiravir compared to placebo. Both drugs need to be started within 5 days of symptoms onset and given for 5 days' duration. This article reviews the 2 oral COVID-19 antiviral drugs including the mechanisms of action, antiviral activity, pharmacokinetics, drug interactions, clinical experience including trials, adverse events, recommended indications, and formulary considerations.