Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1406&sort=-other_investigators
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-other_investigators", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=-other_investigators", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1407&sort=-other_investigators", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1405&sort=-other_investigators" }, "data": [ { "type": "Grant", "id": "10705", "attributes": { "award_id": "1U01MD018306-01", "title": "Leveraging artificial intelligence and social innovation to reduce disparities in COVID-19 testing among African Americans", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 6029, "first_name": "JARRETT AINSWORTH", "last_name": "Johnson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-11-01", "end_date": "2024-10-31", "award_amount": 555475, "principal_investigator": { "id": 20638, "first_name": "Tiarney D", "last_name": "Ritchwood", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 246, "ror": "https://ror.org/00py81415", "name": "Duke University", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 246, "ror": "https://ror.org/00py81415", "name": "Duke University", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": null, "keywords": [], "approved": true } }, { "type": "Grant", "id": "10708", "attributes": { "award_id": "1R21AI168523-01A1", "title": "Transcriptional regulation of ACE2 and the adaption of SARS-CoV-2", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [ { "id": 26420, "first_name": "MARY KATHERINE", "last_name": "Bradford", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-11-11", "end_date": "2024-10-31", "award_amount": 231000, "principal_investigator": { "id": 26761, "first_name": "Yiping", "last_name": "Zhu", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 464, "ror": "https://ror.org/022kthw22", "name": "University of Rochester", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": null, "keywords": [], "approved": true } }, { "type": "Grant", "id": "10711", "attributes": { "award_id": "1F32MD017452-01", "title": "Sexual Minority Mental Health During the COVID-19 Pandemic: An Intersectional, Social Epidemiologic Investigation", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Minority Health and Health Disparities (NIMHD)" ], "program_reference_codes": [], "program_officials": [ { "id": 6121, "first_name": "Priscah", "last_name": "Mujuru", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-12-01", "end_date": "2025-11-30", "award_amount": 71290, "principal_investigator": { "id": 26764, "first_name": "Ariel L", "last_name": "Beccia", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 798, "ror": "https://ror.org/00dvg7y05", "name": "Boston Children's Hospital", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "PA-21-048 Ruth L. Kirschstein National Research Service Award Individual Postdoctoral Fellowship, NOT-MD- 19-001 (Notice of Special Interest in Research on the Health of Sexual and Gender Minority (SGM) Populations): The coronavirus disease 2019 (COVID-19) pandemic has had a profound negative impact on population mental health in the United States, especially for marginalized populations such as sexual minorities (SMs). Emerging research suggests that this disparity is driven by minority stress processes (e.g., stigma) and structural vulnerabilities (e.g., institutional oppression) that systematically expose SMs to more pandemic-related stressors and exacerbate their effects. However, critical knowledge gaps remain regarding the intersectional distribution and upstream (i.e., social and structural) determinants of COVID-19-related disparities in mental health. To address these gaps, the current project will draw on minority stress, intersectionality, and ecosocial frameworks to examine how multiple dimensions of social identity/position and upstream pandemic-related stressors have jointly impacted population mental health for SMs over the course of the pandemic. Leveraging unprecedented data from the COVID-19 Pandemic Sub-Study (a population-based longitudinal cohort study embedded within the Nurses’ Health Study 2 & 3 and the Growing Up Today Study with N>57,000) and novel analytic methods from social, spatial, and legal epidemiology, the project aims are to: 1) estimate the time-varying prevalence of mental health symptoms (i.e., depressive, anxiety, and eating disorder symptomology) over the first year of the COVID-19 pandemic across groups jointly defined by sexual orientation, gender, and race/ethnicity; 2) evaluate whether the prevalence patterns observed in Aim 1 are related to the spatiotemporal distribution characteristics of COVID-19 morbidity and mortality (e.g., county-level mortality rate); and 3) evaluate whether the prevalence patterns observed in Aim 1 are related to the broader pandemic policy environment (e.g., lockdowns/stay-at- home orders, with or without concomitant economic relief efforts). These aims are consistent with the stated priorities in the NIH FY 2021–25 Strategic Plan to Advance Research on the Health & Well-Being of Sexual & Gender Minorities, and importantly, are of urgent relevance to public health. Ultimately, the proposed project will provide a more nuanced and contextualized understanding of SM mental health during the ongoing COVID-19 pandemic, with the intent of generating knowledge that can inform the development and implementation of much- needed mental health equity efforts. A tailored mentored training plan accompanies this proposal and outlines the steps required to advance the Applicant’s career as an independent investigator with expertise in conducting methodologically-rigorous and theoretically-informed SM mental health disparities research.", "keywords": [ "Address", "Affect", "Anxiety Disorders", "COVID-19", "COVID-19 disparity", "COVID-19 morbidity", "COVID-19 mortality", "COVID-19 pandemic", "Characteristics", "County", "Data", "Data Sources", "Depressive disorder", "Development", "Dimensions", "Distress", "Eating Disorders", "Economic Policy", "Economics", "Environment", "Epidemiologic Methods", "Epidemiology", "Ethnic Origin", "Fellowship", "Financial Hardship", "Fright", "Gender", "Goals", "Health", "Health Disparities Research", "Heterosexuals", "Home", "Individual", "Individual National Research Service Award", "Infection", "Intervention", "Knowledge", "Legal", "Life", "Longitudinal cohort study", "Mental Depression", "Mental Health", "Mentors", "Mentorship", "Methodology", "Methods", "Minority", "Modeling", "National Institute on Minority Health and Health Disparities", "Nurses&apos", "Health Study", "Pattern", "Personal Satisfaction", "Policies", "Population", "Positioning Attribute", "Prevalence", "Process", "Psychopathology", "Public Health", "Race", "Reporting", "Research", "Research Personnel", "Risk", "Sex Orientation", "Sexual Health", "Sexual and Gender Minorities", "Shapes", "Social Identification", "Strategic Planning", "Stress", "Subgroup", "Symptoms", "Time", "Training", "United States", "United States National Institutes of Health", "Work", "analytical method", "career", "cohort", "epidemiology study", "ethnic identity", "experience", "gender minority group", "health disparity", "health equity", "high risk", "innovation", "interest", "intersectionality", "lens", "marginalized population", "minority stress", "mortality", "multidimensional data", "multilevel analysis", "novel", "pandemic disease", "population based", "psychological distress", "racial and ethnic", "sexual minority", "sexual minority health", "skills", "social", "social stigma", "social structure", "spatiotemporal", "stressor", "transmission process" ], "approved": true } }, { "type": "Grant", "id": "10712", "attributes": { "award_id": "1I21RX004396-01", "title": "Predictors of Post-COVID Clinical and Cognitive Consequences", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2022-12-01", "end_date": "2024-11-30", "award_amount": null, "principal_investigator": { "id": 26765, "first_name": "Susmita", "last_name": "Chowdhuri", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1960, "ror": "", "name": "JOHN D DINGELL VA MEDICAL CENTER", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "Patients recovering from acute COVID-19 infection often suffer from a multitude of debilitating chronic physical symptoms that can last up to 6 months or more. The incidence of fatigue, cognitive impairment and respiratory symptoms are reported to be very high in the post-COVID period. The underlying pathophysiology of cognitive impairment is unclear in these patients. Notably, sleep disturbances are common during this post-COVID period, and sleep apnea has been associated with an increased risk for severe COVID infection. Thus, it is conceivable that sleep fragmentation, per se, may confer an increased risk for chronic cognitive deficits in Veterans post-COVID. Our proposed pilot project will determine if there is a link between post-COVID sleep disturbances, sleep apnea and cognitive function. Knowledge gained from our examinations may guide development of novel management pathways, i.e., mitigation of sleep disturbances may present a therapeutic strategy for alleviating chronic post-COVID cognitive impairment. Aim1 will investigate the effect of sleep duration and sleep quality on neurocognitive function in post-COVID Veterans. Aim 2 will study whether the severity of OSA determines neurocognitive function Veterans who are post-COVID. This is an observational study where we will gather retrospective as well as prospective data on the long-term effects of COVID on neurocognitive function and sleep. Our long-term goal is to enhance rehabilitation and recovery of function of Veterans suffering from post-COVID consequences that may arise due to sleep disturbances, with the ultimate objective of improving the overall health and quality of life of Veterans recovering from COVID-19 infection.", "keywords": [ "Acute", "Address", "Adverse effects", "Alleles", "Alzheimer&apos", "s Disease", "Apolipoprotein E", "Area", "Blood Coagulation Disorders", "COVID-19", "COVID-19 complications", "COVID-19 cytokine storm", "COVID-19 impact", "COVID-19 severity", "Centers for Disease Control and Prevention (U.S.)", "Chronic", "Clinical", "Cognitive", "Cognitive deficits", "Complex", "Cough Headaches", "Data", "Development", "Diagnostic", "Disease", "Dyspnea", "Encephalopathies", "Fatigue", "Functional disorder", "Future", "Genes", "Goals", "Health", "Healthcare", "Hour", "Hypoxia", "Impaired cognition", "Impairment", "Incidence", "Infection", "Inflammation", "Interleukin-6", "Knowledge", "Link", "Long COVID", "Long-Term Effects", "Memory impairment", "Mental Health", "Neurocognitive", "Neurocognitive Deficit", "Neurologic", "Neutrophilia", "Observational Study", "Obstructive Sleep Apnea", "Pathway interactions", "Patients", "Pilot Projects", "Post-Acute Sequelae of SARS-CoV-2 Infection", "Quality of life", "Recovery", "Recovery of Function", "Rehabilitation therapy", "Reporting", "Research", "Respiratory Signs and Symptoms", "Risk", "SARS-CoV-2 infection", "Severities", "Sleep", "Sleep Apnea Syndromes", "Sleep Deprivation", "Sleep Fragmentations", "Sleep disturbances", "Symptoms", "TNF gene", "Testing", "Therapeutic", "Veterans", "Virus", "Visit", "acute infection", "brain fog", "cognitive function", "coronavirus disease", "cytokine", "disability", "factor A", "improved", "inflammatory marker", "novel", "physical conditioning", "physical symptom", "poor sleep", "post SARS-CoV-2 infection", "post-COVID-19", "prospective", "research study", "respiratory", "response", "severe COVID-19", "sleep quality", "therapeutic target", "trait" ], "approved": true } }, { "type": "Grant", "id": "10714", "attributes": { "award_id": "1R01AG080483-01", "title": "Addressing the Midlife Mortality Crisis: Place-Based Modeling, Trend Analysis and Policy Interventions", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Aging (NIA)" ], "program_reference_codes": [], "program_officials": [ { "id": 9723, "first_name": "AMELIA WILKES", "last_name": "Karraker", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-12-01", "end_date": "2026-11-30", "award_amount": 581239, "principal_investigator": { "id": 26767, "first_name": "Myron P.", "last_name": "Gutmann", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1583, "ror": "", "name": "UNIVERSITY OF COLORADO", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "abstract": "This project will study midlife mortality trends by analyzing the local correlates and risk factors of cause of death in their place-based context between 1990 and 2021. Using cause-specific death data, sociodemo- graphic characteristics, and economic trends, the research will generate trajectories of midlife mortality risks for dynamically-derived spatial units. What makes this project innovative and significant is (1) mortality data at the block, zip code or tract level; (2) methods in spatial analysis, time series trajectory determination, and mul- tiscalar statistical analysis; and (3) an innovative and integrated approach to policy research, conducted by a team experienced in demographic analysis, multiscalar spatial and temporal statistics, and rural health policy formulation. This work responds to research and policy discussions regarding potentially-modifiable attributes of places related to rising mortality among middle-aged adults. Several cause-specific mortality trends warrant attention: rising rates of suicides, cardiometabolic diseases, and deaths due to drug or alcohol abuse, along with their interactions with select infectious diseases (e.g., Hepatitis C and COVID-19). The project has five specific aims: (1) For select U.S. states where block- or tract-level mortality data are available, researchers will create a novel micro-scale database with cause-specific mortality records and contextual data including cen- sus-based demographic data, employment and business data, property characteristics, and crime data. (2) The research makes use of an iterative algorithm to identify clusters of micro-units that have common, cause- specific mortality patterns, using community detection methods, in order to identify the most salient levels of spatial units at which processes affecting midlife mortality occur. It also assesses spatial autocorrelation to identify mortality hot- and cold-spots (spatial) and undertakes extreme event detection to identify hot-moments (temporal). (3) The project uses multi-channel sequencing to classify geographic units, for example, where population has grown or diminished, aged, or seen an increase in children, or where the economy has created wealth. These trajectories constitute a set of place-based classifications for later analysis. (4) The project’s analysis will use spatiotemporal models to estimate the effect of local-to-regional determinants of cause-spe- cific mortality in middle-aged adults, with two strategies: (A) Assess the role of different place-based determi- nants of midlife mortality, in order to evaluate theories of midlife mortality differentials and to test specific hy- potheses (e.g., economic distress). (B) Identify the optimal scale at which determinants with the greatest im- pact operate to inform policy recommendations designed to target midlife mortality for specific causes of death. (5) Designing policy interventions is fundamental to the project, which begins with a policy mapping process, and builds on the results of the multiscalar analysis to design intervention strategies targeting the determinants of mortality differentials and the characteristics of places at greatest risk of continued mortality challenges.", "keywords": [ "Address", "Adult", "Affect", "Age", "Alcohol abuse", "Algorithms", "Area", "Attention", "Businesses", "COVID-19", "Cardiometabolic Disease", "Cause of Death", "Censuses", "Cessation of life", "Characteristics", "Child", "Classification", "Code", "Communicable Diseases", "Communities", "Complex", "County", "Crime", "Data", "Databases", "Demographic Analyses", "Detection", "Development", "Differential Mortality", "Distress", "Drug abuse", "Economic Conditions", "Economics", "Employment", "Event", "Feedback", "Foreclosure", "Formulation", "Future", "Geography", "Health Policy", "Hepatitis C", "Housing", "Income", "Individual", "Inequality", "Intervention", "Methods", "Modeling", "Mortality Determinants", "Outcome", "Pattern", "Policies", "Policy Developments", "Policy Research", "Population", "Population Sizes", "Procedures", "Process", "Property", "Records", "Research", "Research Personnel", "Resolution", "Risk", "Risk Factors", "Role", "Rural", "Rural Health", "Science", "Series", "Social Conditions", "Spottings", "Statistical Data Interpretation", "Structure", "Testing", "Time", "Work", "aged", "base", "design", "detection method", "experience", "innovation", "middle age", "mortality", "mortality risk", "novel", "policy recommendation", "response", "social inequality", "spatiotemporal", "statistics", "suicide rate", "theories", "therapy design", "trend", "trend analysis" ], "approved": true } }, { "type": "Grant", "id": "10715", "attributes": { "award_id": "1R21AI174225-01", "title": "Modeling the contribution of coronavirus cellular tropism to viral pathogenesis", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [ { "id": 26420, "first_name": "MARY KATHERINE", "last_name": "Bradford", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-12-01", "end_date": "2024-11-30", "award_amount": 233250, "principal_investigator": { "id": 20871, "first_name": "Beverly H", "last_name": "Koller", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 817, "ror": "", "name": "UNIV OF NORTH CAROLINA CHAPEL HILL", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 817, "ror": "", "name": "UNIV OF NORTH CAROLINA CHAPEL HILL", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "The cell and tissue tropism of viruses is defined as the capacity of a virus to infect specific cells and tissues and is determined by both viral and cellular factors. An important factor for initiation of infection is cell entry, which is dependent on the ability of the virus to dock with its cognitive receptor. A growing understanding of species differences in ACE2 structure and, perhaps more importantly, in tissue specific patterns of expression has underscored the potential limitations in the use of mouse models for the study of disease pathogenesis of coronaviruses such as SARS-CoV-2 that rely on ACE2 for cellular entry. We propose to implement a strategy for the rapid generation of mouse models in which human ACE2 expression is limited to individual or multiple airway epithelial populations. Using these lines, we will examine the impact of the cellular pattern of ACE2 expression in the respiratory tract on the sequence of events following exposure to SARS-CoV2 coronavirus.", "keywords": [ "2019-nCoV", "ACE2", "Acute Lung Injury", "Address", "Affect", "Alveolar", "Basal Cell", "Biological Models", "COVID-19", "COVID-19 monitoring", "Cells", "Cellular Tropism", "Cessation of life", "Cognitive", "Coronavirus", "Cre driver", "DNA cassette", "Development", "Disease", "Disease Progression", "Distal", "Docking", "Enterobacteria phage P1 Cre recombinase", "Epithelial", "Epithelial Cells", "Event", "Gases", "Generations", "Genes", "Genomics", "Goals", "Goblet Cells", "Health", "Host Defense", "Human", "Immune response", "Individual", "Infection", "Initiator Codon", "Knock-in", "Knowledge", "Lung", "Lung diseases", "Mammalian Cell", "Modeling", "Mus", "Nasal Epithelium", "Nature", "Pathogenesis", "Pathway interactions", "Pattern", "Peptide Initiation Factors", "Population", "Predisposition", "Prevalence", "Production", "Receptor Cell", "Research Personnel", "Respiratory System", "Respiratory Tract Infections", "Role", "SARS coronavirus", "SARS-CoV-2 exposure", "SARS-CoV-2 infection", "Severity of illness", "Structure", "Study models", "System", "Therapeutic", "Therapeutic Intervention", "Tissues", "Transgenic Mice", "Transgenic Organisms", "Tropism", "Validation", "Viral", "Viral Pathogenesis", "Virus", "Virus Diseases", "Virus Replication", "airway epithelium", "alveolar type II cell", "apical membrane", "cell type", "clinically relevant", "in vivo Model", "male", "model design", "mouse development", "mouse model", "novel coronavirus", "pathogen", "promoter", "pulmonary function", "receptor", "restoration", "species difference", "tissue tropism", "tool", "vaccine development", "virus tropism" ], "approved": true } }, { "type": "Grant", "id": "10717", "attributes": { "award_id": "1U01DA057849-01", "title": "Supported employment to create a community culture of SARS-CoV-2 rapid testing among people who inject drugs: PeerConnect2Test", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 21283, "first_name": "JULIA BETH", "last_name": "Zur", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-12-01", "end_date": "2024-11-30", "award_amount": 1032060, "principal_investigator": { "id": 11921, "first_name": "Leslie Diane", "last_name": "Leve", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 833, "ror": "", "name": "PENNSYLVANIA STATE UNIVERSITY, THE", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1156, "ror": "https://ror.org/0293rh119", "name": "University of Oregon", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true }, "abstract": "This Phase III project builds on the successes of our Phase I and Phase II projects but uses a novel approach to adapt to the changing pandemic context; facilitation of rapid testing by people who inject drugs (PWID) via a supported employment program that trains PWID as peer health workers (PHW). PWID are vulnerable to contracting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and to the effects of the disease caused by SARS-CoV-2, coronavirus disease 2019 (COVID-19) due to structural disadvantage, health vulnerabilities, and stigmatization that prevents adequate access to medical care. While our project has previously processed more than 6,000 self-collected polymerase chain reaction (PCR) tests for PWID across the state of Oregon, the ever-changing nature of the pandemic, including new variants and the availability of SARS-CoV-2 vaccines, calls for additional strategies that can increase access to and uptake of testing among PWID. Rapid tests may offer an advantage over PCR tests for PWID experiencing structural vulnerabilities such as houselessness and lack of access to technology so that they can receive results in real-time and be quickly connected to needed resources. Accessibility of rapid testing for PWID has been previously limited by workforce shortages and the inability to reach PWID who need testing. We propose a novel community- engaged strategy to improve the accessibility of rapid tests through a supported employment program for PWID, Peer Connect2Test (PeerC2T), to become PHW to distribute SARS-CoV-2 rapid test kits to other PWID. We expect that PeerC2T will improve knowledge, self-efficacy, and health behaviors among PHW (Aim 1). We will use the RE-AIM framework in Aims 2 and 3 to evaluate whether PeerC2T improves SARS-CoV-2 testing uptake among other PWID (RE; Aim 2) and identify intervention considerations (AIM; Aim 3). The overall goal of this project is to build on our partnership with HIVA to develop a transformative community- driven intervention to promote widespread access to rapid testing among PWID. We will continue to collaborate with the RADx-UP Coordination and Data Collection Center. Findings will clarify the implications of supported employment programs for PWID for SARS-CoV-2 testing uptake among PWID and other public health efforts to improve health outcomes among PWID. Thus, findings from this study may have broad public health implications for leveraging supported employment programs for PWID to prevent the transmission of other infectious diseases.", "keywords": [ "2019-nCoV", "Adoption", "American", "Behavior", "Benchmarking", "COVID-19", "COVID-19 complications", "COVID-19 impact", "COVID-19 risk", "COVID-19 testing", "COVID-19 vaccine", "Caring", "Cessation of life", "Collaborations", "Common Data Element", "Communicable Diseases", "Communities", "Contracts", "County", "Data", "Data Collection", "Diagnostic Reagent Kits", "Disadvantaged", "Discrimination", "Disease", "Education", "Effectiveness", "Employment", "Exposure to", "Fright", "Future", "Goals", "HIV", "Harm Reduction", "Health", "Health Professional", "Health Services Accessibility", "Health behavior", "Hepatitis C", "Human immunodeficiency virus test", "Hygiene", "Immune", "Improve Access", "Individual", "Injecting drug user", "Intervention", "Knowledge", "Learning", "Link", "Maintenance", "Medical", "Methods", "Modeling", "Mutation", "Nature", "Oregon", "Outcome", "Phase", "Policies", "Polymerase Chain Reaction", "Preventive", "Probability", "Procedures", "Process", "Public Health", "RADx Underserved Populations", "Reach Effectiveness Adoption Implementation and Maintenance", "Resources", "Risk", "SARS-CoV-2 infection", "Sampling", "Self Efficacy", "Services", "Societies", "Stigmatization", "Supervision", "Supported Employment", "Surveys", "Technology", "Testing", "Time", "Training Programs", "Trust", "Tuberculosis", "Vaccination", "Variant", "Viral hepatitis", "Virus", "Vulnerable Populations", "disorder prevention", "experience", "financial incentive", "follow up assessment", "health care availability", "housing instability", "improved", "novel", "novel strategies", "pandemic disease", "peer", "predictive test", "prevent", "prevention service", "programs", "rapid test", "rapid testing", "skills", "success", "testing uptake", "transmission process", "vaccine access" ], "approved": true } }, { "type": "Grant", "id": "10719", "attributes": { "award_id": "1R13AI174644-01", "title": "CSHL 2023 Conference on Systems Immunology", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [ { "id": 23719, "first_name": "Susan F.", "last_name": "Cooper", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-12-01", "end_date": "2023-11-30", "award_amount": 10000, "principal_investigator": { "id": 23978, "first_name": "DAVID J.", "last_name": "STEWART", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 992, "ror": "https://ror.org/02qz8b764", "name": "Cold Spring Harbor Laboratory", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 992, "ror": "https://ror.org/02qz8b764", "name": "Cold Spring Harbor Laboratory", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "Cold Spring Harbor Conference on Systems Immunology Cold Spring Harbor, NY April 18 – 22, 2023 ABSTRACT Immune responses are orchestrated by diverse cells and molecules operating over space and time and across different scales, for example, extremely complex repertoires of lymphocyte receptors can discriminate between self and non-self antigens and subsequently trigger dynamic cell-cell interactions culminating in the production of effector functions including antibodies and killing of virus infected cells. Critical discoveries have been made by experimental immunologists studying individual molecules, cells, and their interactions. Due to the complexity of the interactions among these diverse immune components, many fundamental issues associated with immune regulation and response orchestration remain unresolved. Further progress requires an integration of high-dimensional multi-omic approaches, and computational and quantitative modeling to analyze cellular behaviors at various scales of the system. These properties cannot be analyzed or intuited by conventional experiments. It is clear that effective collaborations between experimental immunologists and computational and systems biologists are required to advance our systems-level understanding of immune responses. This meeting is the third in a biennial series that catalyzing a cross-disciplinary exchange of new ideas and technologies in the rapidly evolving and expanding field of systems immunology. Building on the successes of the first two meetings held at CSHL in 2019 and 2021, have established this recurring meeting as the leading forum that can sustain a highly interactive community of Systems Immunologists. The proposed meeting will focus on recent advances at the interface of immunology and systems and computational biology, including rational design and applications of engineered immune particles and cells. Sessions will highlight multi-dimensional experimental platforms and computational approaches that are being used to analyze signaling and genomic states of individual immune cells that control discrete effector responses in a spatiotemporal manner. Integration of immunogenic, tolerogenic or pathophysiologic responses at different levels of scale – cellular, tissues and organs in mice and humans will be explored. Shared and unique design principles that underlie the development, functioning and evolution of the immune system will be discussed from an analytic standpoint. The session on Human Systems Immunology will include high-dimensional analyses of immune responses to SARS-CoV-2 infection as well as to COVID-19 vaccines. The meeting will nurture and foster a community of systems immunologists that are coupling high-dimensional profiling and imaging with computational and quantitative analyses to deepen the understanding of immune system states and responses. Oral presentations will be given by a group of distinguished invited speakers as well as speakers selected from submitted abstracts. Selected speakers will include primarily graduate students, postdoctoral fellows and junior faculty aiming for maximal inclusion of young investigators. Of special importance are the two poster sessions, where many participants can present their work in an atmosphere conducive to informal discussion. The meeting will be of moderate size and we expect about 250-300 people to participate in person, the majority of whom will be presenting a poster or talk, with an additional virtual audience of 150-200 layered over to provide broadened access to those who would otherwise be unable to participate. Presenters will be expected to attend in-person with exemptions granted on a case-by-case basis. The hybrid format will allow broadened access to scientists who would otherwise be unable to attend because of travel/visa restrictions, family obligations or financial burden. The participation of young investigators, minority, and women scientists will be strongly encouraged. This proposal includes requested funding to support the participation of early career Investigators.", "keywords": [ "Address", "Antibodies", "Atmosphere", "Autoimmune", "COVID-19 vaccine", "Cell Communication", "Cells", "Collaborations", "Communities", "Complex", "Computational Biology", "Computer Models", "Coupled", "Coupling", "Data", "Data Set", "Development", "Discipline", "Disease", "Ensure", "Environment", "Event", "Evolution", "Faculty", "Family", "Financial Hardship", "Fostering", "Funding", "Future", "Genomics", "Grant", "Health", "Human", "Hybrids", "Image", "Immune", "Immune response", "Immune system", "Immunologist", "Immunology", "Individual", "Industrialization", "Infection", "Inflammatory", "International", "Laboratories", "Lead", "Length", "Length of Stay", "Lymphocyte", "Malignant Neoplasms", "Methodology", "Methods", "Minority Women", "Modeling", "Mus", "Nationalities", "New York", "Oral", "Organ", "Organism", "Participant", "Pathogenicity", "Patients", "Persons", "Postdoctoral Fellow", "Production", "Property", "Published Comment", "Reagent", "Regulation", "Research", "Research Institute", "Research Personnel", "Resolution", "SARS-CoV-2 infection", "Schedule", "Scientist", "Series", "Signal Transduction", "Structure", "System", "Systems Biology", "Technology", "Time", "Tissues", "Travel", "Virus", "Work", "career", "case-by-case basis", "cell behavior", "cell type", "computer science", "data exchange", "data resource", "design", "dimensional analysis", "experimental study", "fighting", "graduate student", "high dimensionality", "immunoengineering", "immunogenic", "immunoregulation", "innovation", "mathematical model", "meetings", "multidimensional data", "multidisciplinary", "multiple omics", "novel therapeutic intervention", "particle", "posters", "rational design", "receptor", "response", "senior faculty", "social", "spatiotemporal", "success", "symposium", "synthetic biology", "tissue injury", "tissue stress", "unpublished works", "vaccine development", "virtual" ], "approved": true } }, { "type": "Grant", "id": "10720", "attributes": { "award_id": "1R01MH129354-01A1", "title": "Prospective intergenerational mixed-methods investigation of the short- and long-term impact of COVID-19 on adolescent mental, social, and behavioral health", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Mental Health (NIMH)" ], "program_reference_codes": [], "program_officials": [ { "id": 8692, "first_name": "Ashley", "last_name": "Smith", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-12-01", "end_date": "2027-11-30", "award_amount": 731479, "principal_investigator": { "id": 26770, "first_name": "Jeff R", "last_name": "Temple", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 851, "ror": "", "name": "UNIVERSITY OF TEXAS MED BR GALVESTON", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "To better understand the short- and long-term impact of the COVID-19 pandemic on youth mental health and development, we will leverage our existing randomized controlled trial of a school-based healthy relationships program. In 2018, we randomized 24 Texas middle schools in disadvantaged communities in which students (n=2865; Mean age = 12.7; 50% female; 36% Black/African American, 26% Latinx; 14% Asian) received either standard health curriculum (n=12 control schools) or Fourth R (n=12 intervention schools). Participants completed baseline and three annual comprehensive follow-up assessments of their mental (e.g., depression, anxiety, hostility), social (e.g., living situation, socio-economic status, school climate, stress), and behavioral (e.g., dating violence, substance use, sexual behavior, (cyber)bullying, coping strategies) health. This longitudinal data, with relevant measures established prior to the COVID-19 pandemic and resulting stay-at- home orders, provides a powerful opportunity to understand the long-term impact of this global crisis on youth development, mental health, risk behaviors, and academic achievement and explore risk and protective factors moderating this impact. Thus, we will 1) administer an additional four years of annual follow-up surveys, beginning in the 12th grade and follow students until they are, on average, 21 years of age; 2) recruit and assess parents of participants; 3) augment our already extensive student-level data with comprehensive pandemic-related measures, as well as school-, neighborhood-, and environmental-level factors that may moderate impact; and 4) conduct qualitative interviews of educators (n=24), students (n=24), and parents (n=24) to obtain a richer understanding of factors that mitigated or exacerbated the impact of COVID-19 and resulting disruptions to school, family, mental health, and development. Specific aims are to 1) Determine the short- and long-term impact of the COVID-19 pandemic on adolescents' mental, behavioral, and social health, as well as their academic performance and career potential; 2) Examine the moderating impact of family and income stability, parent-child relationships, parent mental health, equity (access to education, digital divide), learning model (in-person, online, hybrid), school disruptions, and school and neighborhood climate on COVID- 19 impacts for youth; 3) Investigate whether and how pandemic-related stressors (individual/family COVID impacts of job interruption, food access, media consumption, and vaccine uptake) are linked to short- and long- term health behaviors and outcomes; and 4) Evaluate the secondary benefits of Fourth R in mitigating the negative impact of the COVID-19 pandemic. Given that the intervention targets mental wellbeing, conflict resolution, coping, and help-seeking, we hypothesize that students exposed to the intervention will evidence improved mental, social, and behavioral health relative to their counterparts in control schools. Our study will provide a rigorous and comprehensive understanding of the impact of COVID-19 – quantitatively by leveraging data from an ongoing cohort and contextually through qualitative investigation.", "keywords": [ "21 year old", "Academic achievement", "Adolescent", "African American", "Age", "Anxiety", "Asian", "Award", "Behavioral", "Black race", "COVID-19 impact", "COVID-19 pandemic", "COVID-19 pandemic effects", "Climate", "Communities", "Conflict (Psychology)", "Consumption", "Coping Skills", "Data", "Depression and Suicide", "Development", "Disadvantaged", "Dropout", "Economics", "Education", "Educational Curriculum", "Educational Status", "Event", "Exposure to", "Family", "Female", "Food Access", "Future", "Generations", "Health", "Health behavior", "Health behavior outcomes", "Home", "Hostility", "Housing", "Hybrids", "Income", "Individual", "Instruction", "Interruption", "Intervention", "Interview", "Investigation", "Job loss", "Latinx", "Learning", "Link", "Longitudinal Studies", "Measurement", "Measures", "Mental Depression", "Mental Health", "Methods", "Modeling", "National Institute of Mental Health", "Natural Disasters", "Neighborhoods", "Occupations", "Outcome", "Parent-Child Relations", "Parents", "Participant", "Performance", "Persons", "Prevention program", "Psyche structure", "Randomized", "Randomized Controlled Trials", "Risk", "Risk Behaviors", "Risk Factors", "Schools", "Sex Behavior", "Social isolation", "Socioeconomic Status", "Source", "Stress", "Students", "Surveys", "Texas", "War", "Well in self", "Youth", "adolescent health", "base", "behavioral health", "career", "cohort", "college", "conflict resolution", "coping", "coronavirus disease", "cyberbullying", "dating violence", "design", "digital", "economic disparity", "educational atmosphere", "experience", "follow up assessment", "follow-up", "health equity", "help-seeking behavior", "housing instability", "improved", "intergenerational", "intervention program", "junior high school", "long term consequences of COVID-19", "mass shooting", "mental development", "neighborhood safety", "pandemic disease", "parental role", "partner violence", "programs", "prospective", "protective factors", "racial disparity", "recruit", "risk sharing", "social", "stressor", "substance misuse", "substance use", "teacher", "twelfth grade", "vaccine acceptance" ], "approved": true } }, { "type": "Grant", "id": "10721", "attributes": { "award_id": "1R21AI173863-01", "title": "Immune evasion by SARS-CoV-2: the role of HLA class I", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [ { "id": 6050, "first_name": "Mary Chelsea", "last_name": "Lane", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-11-17", "end_date": "2024-10-31", "award_amount": 239850, "principal_investigator": { "id": 26771, "first_name": "MARLENE", "last_name": "BOUVIER", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 163, "ror": "https://ror.org/02mpq6x41", "name": "University of Illinois at Chicago", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is responsible for the current pandemic of coronavirus-induced disease 2019 (COVID-19). Since December 2019, coordinated research efforts have provided a wealth of critical data that have enhanced our ability to diagnose and treat COVID-19. To date, however, much of the molecular and cellular mechanisms underlying the pathogenesis of COVID-19 remain elusive. The genome of SARS-CoV-2 contains nine independent open reading frames (ORFs) coding for proteins that are not essential for viral replication but seem to exert important functions in modulating host antiviral immunity. Of these accessory proteins, the ORF8 protein stands out for its unique characteristics. ORF8 is a highly variable protein among SARS-related CoVs. ORF8 also appears to be involved in a network of host-pathogen interactions inside infected cells: ORF8 impairs immune pathways such as antigen presentation, interferon type I, and nuclear factor-kB, as well as possibly activate growth pathways. A central question is how ORF8 mediates interactions with multiple host protein targets. Towards this goal, we are investigating ORF8 interaction with major histocompatibility class I (MHC I) molecules. It was shown recently that SARS-CoV-2 ORF8 suppresses CD8+ T cell responses by downregulating MHC I molecules, both in vitro and in vivo. We hypothesize that ORF8 suppresses surface expression of HLA-A and HLA-B molecules to protect infected cells from recognition by CD8+ T cells, but spares HLA-C and HLA-E to avoid activation of natural killer (NK) cells. The possibility that ORF8 displays a locus specificity toward MHC I would provide a mechanism for SARS-CoV-2 to walk a fine line between adaptive and innate immunity. Specifically, we will undertake an analysis of interactions between ORF8 and MHC I by using a panel of HLA- A, -B, -C, and -E molecules, and also determine if ORF8 selectively downregulates MHC I in relevant cell systems (Aim 1). We will extend these studies to ORF8 variants that have been positively selected during the course of the pandemic and evaluate if and how these mutations affect MHC I binding and downregulation (Aim 2). The successful completion of these Aims is expected to uncover unknown features of ORF8 and elucidate its role in suppressing antigen presentation, as well as inform us on the selective pressure that MHC I exerts on SARS-CoV-2. The immediate and long-term impact of our proposed research is high. This is the first study that: (1) characterizes molecular interaction of ORF8 with a host protein; and (2) evaluates clinically relevant ORF8 variants. By studying the immune interactions underlying ORF8-mediated downregulation of MHC I, we will increase our understanding of how SARS-CoV-2 derails cellular immunity. Importantly, our study will stimulate similar investigations of other ORF8-interactors, providing novel opportunities for the development of therapeutics directed against ORF8 or its host targets.", "keywords": [ "2019-nCoV", "Address", "Affect", "Alleles", "Antigen Presentation", "Binding", "Biological Assay", "Biology", "CD8-Positive T-Lymphocytes", "Cell surface", "Cells", "Cellular Immunity", "Characteristics", "Code", "Complex", "Coronavirus", "Crystallization", "Data", "Development", "Diagnosis", "Disease", "Down-Regulation", "Epitopes", "Evaluation", "Flow Cytometry", "Future", "Genome", "Genomic Segment", "Goals", "Growth", "HLA-A gene", "HLA-B Antigens", "HLA-C Antigens", "Histocompatibility", "Histocompatibility Antigens Class I", "Immune", "Immune Evasion", "Impairment", "In Vitro", "Infection", "Innate Immune Response", "Interferon Type I", "Investigation", "Knowledge", "Mediating", "Molecular", "Morbidity - disease rate", "Mutation", "NK Cell Activation", "Natural Immunity", "Natural Killer Cells", "Nuclear", "Open Reading Frames", "Pathogenesis", "Pathologic", "Pathway interactions", "Patients", "Phenotype", "Proteins", "Research", "Role", "SARS coronavirus", "SARS-CoV-2 infection", "SARS-CoV-2 pathogenesis", "Scheme", "Severe Acute Respiratory Syndrome", "Specificity", "Structure", "Surface", "System", "T cell response", "Variant", "Viral", "Virulence", "Virus", "Virus Replication", "adaptive immune response", "adaptive immunity", "antiviral immunity", "base", "cellular transduction", "clinically relevant", "exhaustion", "experience", "gel electrophoresis", "human pathogen", "immune function", "in vivo", "innovation", "interest", "mortality", "mutant", "novel", "novel therapeutics", "pandemic coronavirus", "pandemic disease", "pathogen", "pressure", "prevent", "protein protein interaction", "response", "small molecule inhibitor", "therapeutic development" ], "approved": true } } ], "meta": { "pagination": { "page": 1406, "pages": 1424, "count": 14236 } } }