Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1392&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=1405&sort=-other_investigators", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1393&sort=-other_investigators", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1391&sort=-other_investigators" }, "data": [ { "type": "Grant", "id": "10606", "attributes": { "award_id": "1R42ES034684-01", "title": "Multispectral Sensor for Chemical Composition Analysis of Ultrafine Aerosols in Air Quality Assessment", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Environmental Health Sciences (NIEHS)", "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 26260, "first_name": "Lingamanaidu V.", "last_name": "Ravichandran", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-13", "end_date": "2023-08-31", "award_amount": 259573, "principal_investigator": { "id": 26648, "first_name": "ALEXANDER V", "last_name": "MAMISHEV", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1951, "ror": "", "name": "SPECTREE INC.", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "We propose developing and validating a novel platform technology that combines the collection and chemical analysis of ultrafine particles using an in-situ multispectral technique. The sample, collected directly onto the analysis substrate, is analyzed via excitation-emission matrix (EEM) spectroscopy. This approach will be validated against laboratory combustion-generated aerosols, such as diesel exhaust, wood smoke, tobacco smoke, and against a mixture of environmental pollutants. Within the respiratory tract, particle size determines the region of deposition and tissue uptake; the chemistry of the particle also affects solubility and determines the potential for biochemical reaction with tissues and cells. There is a growing awareness that exposure scenarios are very complex, consisting of time-varying concentrations and chemical composition over a broad range of particle sizes. Long-term exposure to air pollution has also been linked to increased mortality rates for infectious diseases, including COVID-19. The proposed research addresses the need for improved personal exposure assessment and characterization of ultrafine particles in the environment. Low-cost, miniaturized exposure monitoring devices can shed insight into the relationships between exposure to pollutants and health impact. Source apportioned measurements of PM concentration with high temporal and spatial resolution can facilitate the implementation of optimal air pollution mitigation strategies. The anticipated outcome of this project is the development of a miniaturized spectroscopic sensor that provides an analysis of the chemical composition of combustion-generated ultrafine particles, which both reflects the particle sources and determines their toxic potential. The machine-learning algorithms will enable the deconvolution of the complex spectra and identification of the PM source from the EEM analysis. The broader applications of the technology are environmental and regulatory monitoring, personal exposure assessment for the consumer market, and epidemiological studies.", "keywords": [ "Address", "Aerosols", "Affect", "Air", "Air Pollution", "Automation", "Awareness", "Biochemical Reaction", "COVID-19", "Carbon", "Cells", "Chemicals", "Chemistry", "Childhood", "Clinical", "Clinical Research", "Collaborations", "Collection", "Communicable Diseases", "Complex", "Cost Analysis", "Cost Savings", "Data", "Deposition", "Development", "Diesel Exhaust", "Electrostatics", "Engineering", "Environment", "Environmental Pollutants", "Environmental and Occupational Exposure", "Evaluation", "Evidence based intervention", "Exposure to", "Health", "In Situ", "Individual", "Inhalation", "Institutional Review Boards", "Intervention", "Laboratories", "Libraries", "Link", "Machine Learning", "Measurement", "Medical", "Methods", "Miniaturization", "Monitor", "Optics", "Outcome", "Participant", "Particle Size", "Particulate Matter", "Performance", "Phase", "Preparation", "Research", "Research Design", "Resolution", "Respiratory System", "Sampling", "Signal Transduction", "Solid", "Solubility", "Solvents", "Source", "Specificity", "Spectrum Analysis", "Techniques", "Technology", "Testing", "Time", "Tissues", "Tobacco smoke", "Ultrafine", "absorption", "air pollution control", "base", "commercialization", "cost", "cost effective", "design", "detection platform", "environmental agent", "epidemiology study", "implementation facilitation", "improved", "insight", "instrumentation", "machine learning algorithm", "miniaturize", "monitoring device", "mortality", "nanomaterials", "novel", "particle", "particle counter", "personal exposure monitor", "pollutant", "public health research", "pulmonary function", "relating to nervous system", "sensor", "solvent extraction", "tool", "ultrafine particle", "uptake", "wood smoke" ], "approved": true } }, { "type": "Grant", "id": "10607", "attributes": { "award_id": "75N92022D00013-P00002-759202200001-1", "title": "NIBIB, INNOVATION FUNNEL FOR MATERNAL HEALTH -RADx", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-01", "end_date": "2024-02-29", "award_amount": 338000, "principal_investigator": { "id": 23973, "first_name": "MARK", "last_name": "MARINO", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1670, "ror": "https://ror.org/00mgk5c15", "name": "VentureWell", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1670, "ror": "https://ror.org/00mgk5c15", "name": "VentureWell", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "NICHD, in partnership with the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and the NIH Office of the Director, aims to leverage the RADx Tech program’s innovation funnel design—which was used by NIBIB to speed the development, commercialization and implementation of COVID-19 testing technologies—to accelerate the development of diagnostic devices, wearables, or other remote sensing technologies that can reduce SMM/MM for individuals residing in maternity care deserts during the first year of the postpartum period (namely, from day of delivery or end of pregnancy). The innovation funnel approach uses stage-gated, milestone-based award payments to compress the customary technology development timeline. this is accomplished by employing, in parallel, expert teams to address scientific/technical, regulatory, clinical, and commercialization requirements to validate, de-risk, scale up, manufacture, and deploy novel tests through seamless pipeline. Successful outputs from this Challenge may include technologies such as wearable devices, smartphone-enabled diagnostic tools, integrated sensor technologies, and diagnostic devices or tests for use at-home or at the point-of-care (POC). Solutions generated by innovators shall allow continuity of monitoring when access to care providers is limited and extend diagnostic and monitoring capabilities to support timely return to maternity care when necessary. Priority conditions for prediction, detection, diagnosis, and monitoring during the postpartum period may include cardiovascular diseases (such as cardiomyopathies), hemorrhage, sepsis, and mental health conditions (such as postpartum depression), which are recognized as associated with high rates of severe morbidity and mortality during the first year after delivery or end of pregnancy.", "keywords": [ "Address", "Award", "COVID-19 testing", "Cardiomyopathies", "Cardiovascular Diseases", "Caring", "Cellular Phone", "Clinical", "Detection", "Development", "Diagnosis", "Diagnostic", "Diagnostic Equipment", "Diagnostic tests", "Health Services Accessibility", "Hemorrhage", "Home", "Individual", "Maternal Health", "Maternal Health Services", "Maternal Mortality", "Mental Health", "Monitor", "Morbidity - disease rate", "National Institute of Biomedical Imaging and Bioengineering", "National Institute of Child Health and Human Development", "Output", "Postpartum Depression", "Postpartum Period", "Pregnancy", "Pregnancy Outcome", "Prize", "Publications", "Publishing", "RADx", "RADx Tech", "Risk", "Sepsis", "Speed", "Technology", "Testing", "Time", "TimeLine", "United States National Institutes of Health", "Vision", "base", "care providers", "commercialization", "design", "diagnostic technologies", "diagnostic tool", "innovation", "mortality", "novel", "payment", "point of care", "programs", "remote sensing", "scale up", "sensor technology", "severe maternal morbidity", "technology development", "wearable device" ], "approved": true } }, { "type": "Grant", "id": "10608", "attributes": { "award_id": "1U01IP001193-01", "title": "Michigan-Ford Initiative to Measure Vaccine Effectiveness (MFIVE): Seasonal Influenza, COVID-19 and Respiratory Virus Vaccines", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-30", "end_date": "2027-09-29", "award_amount": 1999909, "principal_investigator": { "id": 26649, "first_name": "Emily Toth", "last_name": "Martin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 770, "ror": "", "name": "UNIVERSITY OF MICHIGAN AT ANN ARBOR", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "Component A: Michigan-Ford Initiative to Measure Vaccine Effectiveness (MFIVE): Seasonal Influenza, COVID-19, and Respiratory Virus Vaccines The use of active surveillance for medically-attended acute respiratory illness (MAARI) in outpatient settings has been the cornerstone of vaccine effectiveness (VE) monitoring in the U.S. for over a decade. As a part of the U.S. Flu VE Network for 10 years, the Michigan Center for Respiratory Virus Research and Response has the expertise and the infrastructure to build upon the findings of previous test-negative studies to support real-time VE assessments for SARS-CoV-2 and influenza vaccines. Our primary goal is to build upon our previous efforts to evaluate the effectiveness of vaccines against SARS-CoV-2 and influenza in prevention of MAARI. We will conduct VE surveillance throughout Southeastern Michigan through recruitment of patients presenting at ambulatory clinics and testing centers spanning two healthcare systems. Our enrollment sites are distributed throughout multiple communities in the region, including clinics serving populations disproportionately impacted by infectious diseases. This study will integrate analyses of antibodies, whole genome sequences of viruses, and detection of non-influenza, non- SARS-CoV-2 respiratory viruses (e.g. RSV). We will use these evaluations to expand upon the test-negative methodology to provide a more accurate and robust assessment of VE. Our specific objectives are as follows: Objective 1. Determine vaccine effectiveness of influenza and COVID-19 vaccines in children and adults from ambulatory settings. We will do this through active enrollment of individuals with MAARI, collection and testing of respiratory specimens, and verification of health data and vaccination history. Objective 2. Conduct viral genomic sequencing of influenza and SARS-CoV-2 for surveillance and to support variant and clade-specific estimates of VE. We will leverage our existing, robust sequencing pipeline to provide timely sequencing data from both research and clinically-collected respiratory specimens. Objective 3. Efficiently maintain SARS-CoV-2 surveillance and COVID-19 vaccine effectiveness evaluations among ambulatory patients during periods when influenza viruses are not circulating. We will accomplish this through standardized queries of the electronic medical records of our two participating major medical centers, with regular integration with state vaccination registry data. Our primary outcome will be rapid determinations of vaccine effectiveness, through regular deliveries to CDC to support vaccine recommendations for the general population and to inform selection and development of future vaccines.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10611", "attributes": { "award_id": "3U24HG007438-09S1", "title": "Human Heredity and Health in Africa Consortium Biorepository", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Human Genome Research Institute (NHGRI)" ], "program_reference_codes": [], "program_officials": [ { "id": 26498, "first_name": "Jennifer L", "last_name": "Troyer", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-19", "end_date": "2023-06-30", "award_amount": 235721, "principal_investigator": { "id": 26652, "first_name": "Elizabeth", "last_name": "Mayne", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1434, "ror": "", "name": "WITS HEALTH CONSORTIUM (PTY), LTD", "address": "", "city": "", "state": "", "zip": "", "country": "SOUTH AFRICA", "approved": true }, "abstract": "Principal Investigator: Institution: Project Title: Time Period: Project Summary Professor Elizabeth Mayne Clinical Laboratory Services Biorepository August 2022 - July 2023 Specific Aim 1: To provide state-of-the-art sustainable and affordable storage facilities for genomic DNA and additional samples from H3 Africa research projects and other collaborators in an accredited facility. Milestone 1: Optimization of storage services. We aim to encourage the storage of additional samples by improved marketing strategies and improved cost-efficiency. Due to the COVID-19 pandemic national lockdown in South Africa, the site engagement activities have been severely affected. The biorepository has engaged the submission sites to obtain a date for deposit of all samples. See table below for the site engagement status: Submission siteand PI Expected Samples Samples Deposited Status Deciphering Developmental Disorders in Africa (DDD-Africa) Evaluating Clinical Exome Sequencing in an African Setting. WITS S/Africa Professor Zane Lombard 1500 DNA samples 250 All samples to be deposited by the second quarter of 2023 Hearing Impairment Genetics Studies in Africa (HI-GENES Africa) University of Cape Town, South African Professor Ambroise Wonkam 1250 DNA samples 250 All samples to be deposited by the second quarter of 2023 Milestone 2: Optimization of nucleic acid quality control protocols (in the context of a comprehensive biorepository service). The biorepository conducts policy-mandated DNA and RNA quality control on a defined number of nucleic acid samples. 1|Page Specific Aim 2: To provide value-added and innovative biorepository services for sample processing. Milestone 1: Continue full next-generation sequencing core facility at CLS Next generation sequencing has been is a core functionality of the sustainability plan. This will be available as a backup and validation instrument for H3 Africa partners and future collaborators. Milestone 2: To optimize a protocol for ambient storage of nucleic acid. Investigate ambient temperature storage as an attractive strategy to reduce cost. Specific Aim 3: Advocate for biorepository science nationally and internationally Milestone 1: Establishment of biorepository training and outreach. A key aim is to build capacity for genomic research and associated disciplines and to provide training for students who are registered for masters of Science (Medicine) degree, medical professionals including intern medical scientists in biorepository science. 2|Page", "keywords": [ "Accreditation", "Advocate", "Affect", "Africa", "African", "COVID-19 pandemic", "Chairperson", "Clinical", "Complex", "Core Facility", "Cost efficiency", "DNA", "Data", "Deposition", "Discipline", "Education and Outreach", "Ensure", "Funding", "Future", "Genetic Predisposition to Disease", "Genetic study", "Genomic DNA", "Genomics", "Health", "Heredity", "Human", "Infrastructure", "Institution", "International", "Internships", "Laboratories", "Marketing", "Master of Science", "Medical", "Medicine", "Nucleic Acids", "Policies", "Postdoctoral Fellow", "Principal Investigator", "Privatization", "Protocols documentation", "Quality Control", "RNA", "Research", "Research Personnel", "Research Project Grants", "Sampling", "Science", "Scientist", "Services", "Site", "South Africa", "South African", "Specimen", "Telefacsimile", "Temperature", "Time", "Training", "Universities", "Validation", "Wales", "Wit", "base", "biobank", "cohort", "cost", "developmental disease", "exome sequencing", "hereditary hearing loss", "improved", "innovation", "instrument", "next generation sequencing", "professor", "student training" ], "approved": true } }, { "type": "Grant", "id": "10612", "attributes": { "award_id": "1K99AA030052-01A1", "title": "Machine learning methods for identifying person-level mechanisms of alcohol use among sexual and gender minority intersections", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Alcohol Abuse and Alcoholism (NIAAA)" ], "program_reference_codes": [], "program_officials": [ { "id": 26653, "first_name": "Wenxing", "last_name": "Zha", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-19", "end_date": "2024-08-31", "award_amount": 174550, "principal_investigator": { "id": 26654, "first_name": "Connor J", "last_name": "McCabe", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 159, "ror": "https://ror.org/00cvxb145", "name": "University of Washington", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "The long-term objective of this Pathway to Independence Award is to support candidate Dr. McCabe in building an independent research program and to facilitate his transition into an independent faculty research position. To date, Dr. McCabe’s research has focused on 1.) refining quantitative methods applied in addictions research, and 2.) understanding individual differences in stress, developing self-regulation, and their associations with alcohol use (AU) among sexual minority and non-minority communities. Dr. McCabe seeks to expand his training in AU development, minority stress theory, and applied quantitative methods to a new emphasis on intersectionality and sexual and gender minority (SGM) AU risk, machine learning and multilevel methodologies, and ecological factors influencing AU disparities. This long-term objective will be achieved through a five-year training plan involving a carefully selected mentorship team as well as targeted coursework and hands-on training experiences. The goals of the proposed research are to 1) distinguish SGM subgroups and intersections at heightened risk for AU (e.g., bisexuals and trans persons, SGM young women of color), 2) assess the role of state policies in moderating AU risk, and 3) delineate moderators and mechanisms of heightened AU across SGM populations within and beyond the coronavirus pandemic. The mentored phase (K99) will involve cross-sectional analysis of the All of Us Research Program (AURP), a large (N=331,360) and diverse national dataset. Aim 1 will identify heterogeneity in alcohol and other substance use behaviors among sexual (1a; n=38,820 non-heterosexual) and gender minority (1b; n=2,660 transgender or nonbinary) communities. It will then test race/ethnicity and age as intersectional moderators of SGM inequities (1c) and state-level policies impacting SGM communities (1d; e.g., hate crime laws enumerating SGM identity) that further differentiate AU risk among SGM groups. During the independent phase, findings will be extended to address mediators and moderators of AU in the monthly AURP COVID-19 Participant Experience Survey (Aim 2; n=100,340) as well as the longitudinal, biennial AURP data that extends beyond the pandemic into 2027 (Aim 3). Aim 2 will test pandemic stressors as mediators of between-person AU among SGM intersections (2a) and examine intersectional (2b) and multilevel moderators (2c) of within-person AU. Aim 3 will test differences in post-pandemic recovery in AU among SGM intersections (3a) and determine pandemic mediators (3b) and moderators (3c) of this change. Findings will serve as the foundation for an NIAAA R01 submission during the R00 phase focused on geocoded neighborhood-level factors influencing developing alcohol risk across adolescence and young adulthood across SGM intersections. Mentors (Drs. Rhew, Lee, Helm) and consultants (Drs. Grimm, Bauer, Raifman) are committed to the candidate’s training, each providing unique expertise to the research and training plan. This award will support the candidate’s development as an independent cross-disciplinary prevention scientist in AU disparities and quantitative methods.", "keywords": [ "Address", "Adolescence", "Adult", "Advocacy", "Age", "Alcohol consumption", "Alcohols", "All of Us Research Program", "Automobile Driving", "Award", "Behavior", "Bisexual", "Black Indigenous People of Color", "COVID-19", "Communities", "Complex", "Consensus", "Cross-Sectional Studies", "Data", "Data Set", "Development", "Discrimination", "Employment", "Equation", "Ethnic Origin", "Female", "Financial Hardship", "Foundations", "Future", "Gender", "Goals", "Growth", "Health", "Heterogeneity", "Heterosexuals", "Housing", "Individual", "Individual Differences", "Informal Social Control", "K-Series Research Career Programs", "Laws", "Lesbian Gay Bisexual", "Link", "Machine Learning", "Mediating", "Mediator of activation protein", "Mentors", "Mentorship", "Methodology", "Methods", "Minority Women", "Modeling", "National Institute on Alcohol Abuse and Alcoholism", "Neighborhoods", "Participant", "Pathway interactions", "Persons", "Phase", "Policies", "Population", "Positioning Attribute", "Prevention", "Process", "Public Health", "Race", "Recovery", "Reporting", "Research", "Research Training", "Resources", "Risk", "Risk Factors", "Role", "Sampling", "Scientist", "Sexism", "Sexual and Gender Minorities", "Social status", "Social support", "Stigmatization", "Stress", "Subgroup", "Surveys", "Symptoms", "Testing", "Training", "Underserved Population", "United States National Institutes of Health", "Woman", "Work", "addiction", "alcohol misuse", "alcohol prevention", "alcohol risk", "alcohol use disorder", "black women", "career", "cisgender", "coping", "discrete data", "experience", "faculty research", "forest", "gender minority", "gender minority community", "gender minority group", "gender minority men", "global health", "hate crimes", "high dimensionality", "high risk", "intersectionality", "machine learning method", "minority stress", "minority stressor", "non-heterosexual", "novel", "pandemic coronavirus", "pandemic disease", "pandemic stress", "programs", "psychologic", "public health intervention", "racism", "random forest", "sex", "sexual minority", "social", "stressor", "substance use", "theories", "transgender", "transgender women", "women of color", "young adult", "young woman" ], "approved": true } }, { "type": "Grant", "id": "10614", "attributes": { "award_id": "1R35GM147423-01", "title": "Physics-based characterization of functionally relevant protein conformational dynamics", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 11852, "first_name": "Anne", "last_name": "Gershenson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-15", "end_date": "2027-08-31", "award_amount": 221612, "principal_investigator": { "id": 26656, "first_name": "Mahmoud", "last_name": "Moradi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 749, "ror": "https://ror.org/05jbt9m15", "name": "University of Arkansas at Fayetteville", "address": "", "city": "", "state": "AR", "zip": "", "country": "United States", "approved": true }, "abstract": "With recent advances in structural biology and supercomputing technology, all-atom molecular dynamics (MD) simulation technique has gained momentum as a prominent tool for the study of protein structural dynamics. Brute-force MD, however, is not capable of adequately sampling most functionally relevant biomolecular processes such as large-scale protein conformational changes. Various approaches have been developed over the last three decades to address the “timescale gap” that hinders the use of MD in real- world applications. Free energy calculation methods, enhanced sampling techniques, and path-finding algorithms are examples of umbrella terms that describe many of these methods. This project specifically aims at employing, tailoring, and fine-tuning state-of-the-art enhanced sampling and path-finding algorithms to address important biological and biomedical questions. The overall aim of this project is to develop and employ robust and practical sampling and analysis protocols to study functionally relevant conformational changes of various proteins from fibroblast growth factor to coronavirus spike protein. Our proposed methodological framework specifically takes advantage of (1) robust theoretical formalisms rooted in nonequilibrium statistical mechanics and differential geometry; (2) system-specific enhanced sampling protocols that are tunable for the specific problem at hand; and (3) and integrative and synergistic approach to experimental (specifically smFRET) and computational (specifically MD) techniques. Some of the systems proposed to be studied here include proton-coupled oligopeptide transporters, influenza hemagglutinin, ATP-binding transporters, coronavirus spike proteins, mechanosensitive channel of large conductance, membrane insertase YidC, serotonin transporter, and fibroblast growth factor (FGF) protein. The common theme in all of these projects is the large-scale conformational changes involved in the function of these proteins. The successful use of the methodology proposed in this project will allow the characterization of these conformational changes at the molecular level and pave the groundwork for the routine application of state-of-the-art enhanced sampling techniques in the study of real world biological problems.", "keywords": [ "Address", "Algorithms", "Binding", "Biological", "Computing Methodologies", "Coronavirus spike protein", "Coupled", "Fibroblast Growth Factor", "Free Energy", "Growth Factor", "Hand", "Human", "Influenza Hemagglutinin", "Membrane", "Methodology", "Methods", "Molecular", "Molecular Conformation", "Oligopeptides", "Physics", "Plant Roots", "Play", "Process", "Protein Conformation", "Proteins", "Protocols documentation", "Protons", "Role", "Sampling", "Statistical Mechanics", "Supercomputing", "System", "Techniques", "Technology", "base", "differential geometry", "molecular dynamics", "protein function", "real world application", "serotonin transporter", "single-molecule FRET", "structural biology", "tool" ], "approved": true } }, { "type": "Grant", "id": "10615", "attributes": { "award_id": "1U01IP001180-01", "title": "RFA-IP-22-004, Platform to Assess Influenza and COVID-19 Vaccine Effectiveness in Underserved Arizona Populations", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-30", "end_date": "2027-09-29", "award_amount": 2500000, "principal_investigator": { "id": 26657, "first_name": "Vel", "last_name": "Murugan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 912, "ror": "", "name": "ARIZONA STATE UNIVERSITY-TEMPE CAMPUS", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "Component A – Abstract: Annual influenza vaccination is the primary prevention strategy for infection and severe disease. A constantly evolving influenza virus through antigenic drift dictates that vaccines are re-evaluated every year. COVID-19 has overlapping symptoms with influenza and has significantly complicated the healthcare burden associated with viral infections, morbidity, and mortality. While COVID-19 vaccines received Emergency Use Authorization (EUA) from the Food and Drug Administration (FDA), additional COVID-19 vaccines are under development due to emerging variants, some of which are known to evade currently authorized vaccines. As such, boosters are recommended to thwart spikes and new waves of variant infections which complicates assessment of the effectiveness of both COVID-19 and seasonal influenza vaccines simultaneously. Phoenix, Arizona is the fifth largest and fastest growing city in the nation, and, importantly, is home to an ethnically and socioeconomically diverse population. Twice during the COVID-19 pandemic, Arizona was #1 worldwide in per capita COVID-19 cases. Arizona has seen a mixed adoption of vaccine use for both COVID-19 and influenza, allowing for excellent local comparisons. In this project, leveraging Arizona State University’s (ASU) core capabilities, we propose to study vaccine effectiveness (VE) in a diverse demographic and clinical population (including immunocompromised HIV patients) seen at outpatient clinics managed by ValleyWise Community Hospital, Phoenix Children’s Hospital and ASU Student Health Services. Given identified health disparities in infection and vaccination, we propose to examine social determinants of health to identify the most vulnerable groups. We will collect specimens (nasopharyngeal and/or anterior nasal swabs) and relevant demographic and clinical data from laboratory-confirmed cases of influenza and COVID-19 in children and adults with acute respiratory infection, seeking care in ambulatory clinics, to calculate vaccine effectiveness for both influenza and COVID- 19 vaccines. We will also sequence viral genomes to identify subtype/variants using our deep expertise and incomparable resources in next-generation sequencing and viral genomic bioinformatics. We will use this genomic sequencing data to further investigate VE analyses and understand virus evolution. Importantly, to examine health disparities in vaccination and vaccine effectiveness, we will implement longitudinal surveys and geographical information systems mapping to measure and model social determinants of health. Overall, our multidisciplinary program provides a comprehensive approach to study VE and to understand social determinates that drives health disparities. We believe the findings will have important, long lasting policy implications towards vaccination and examination of VE.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10616", "attributes": { "award_id": "1R15HD107457-01A1", "title": "Using structured video chat to improve relationships between young children andremote grandparents.", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)" ], "program_reference_codes": [], "program_officials": [ { "id": 7137, "first_name": "LAYLA E", "last_name": "ESPOSITO", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-10", "end_date": "2025-08-31", "award_amount": 406410, "principal_investigator": { "id": 26658, "first_name": "Lauren J.", "last_name": "Myers", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1250, "ror": "https://ror.org/036n0x007", "name": "Lafayette College", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "During the COVID-19 pandemic many families are using video chat (e.g., Zoom) to maintain relationships with distant relatives, including grandparents. While 67% of all grandparents reported liking the idea of video chatting with their grandchildren, only 28% did so regularly. Increasing this percentage could significantly improve grandparent-grandchild relationships because our Preliminary Study 1 showed that video chat frequency is a strong predictor of grandparent’s ratings of closeness to their grandchild, even after controlling for the geographic distance between them. The overall goal of our past, ongoing, and future research is to understand the cognitive and social developmental challenges of video chat in order to support its use with children. As the next step towards this goal, we propose to directly compare two approaches to instructing grandparents on how to improve video chats between grandparents and young grandchildren (18-72 months of age). Families will use video chat without the involvement of researchers during each video chat. Parent-child- grandparent triads (n=180; the largest multi-session observational study of young children and video chat to date) will record 10 video chats under one of three randomly-assigned conditions: structured play, structured reading, or when given no instructions (control). Our overall hypothesis is that structured video chat will increase children’s engagement and joint attention (primary outcome measures), as well as grandparents’ enjoyment of video chat and closeness with their grandchild (secondary outcome measures). We will use detailed behavioral coding of the video recordings of these chats to objectively assess many of the outcome measures. Our Preliminary Study 2 showed that structured video chat facilitates more positive social interactions. The proposed work extends our preliminary work because it translates our laboratory methods to a complementary ecologically-valid approach in families’ naturalistic environments. In Aim 1, we will determine whether and for whom structured video chat improves child engagement and increases child-initiated screen- based joint attention during video chats between grandparents and grandchildren. In Aim 2, we will determine whether structured video chat increases grandparents’ enjoyment of the video chats and leads to greater feelings of closeness to their grandchild. PI Myers and Co-I Strouse, who are both at R15-AREA-eligible institutions, are well-qualified to complete the proposed work. Since 2017, they have published 9 papers on video chat, 12 papers on reading, and collaboratively completed 3 preliminary studies and 2 papers. They have mentored 77 undergraduate students, many of whom were co-authors on conference posters or presentations (37; 22 as a presenter) or journal articles (12). Importantly, 17 students came from underrepresented groups (BIPOC, first- generation in college, LGBT). A total of 47 are pursuing or have completed graduate work in health-related sciences, including 15 for doctoral degrees. The proposed work addresses a NICHD CDBB priority of advancing our understanding of “Effects of Technology and Digital Media Use on Child and Adolescent Development.”", "keywords": [ "Address", "Adolescent Development", "Adult", "Affect", "Age", "Age-Months", "Behavior", "Behavioral", "Black Indigenous People of Color", "Books", "COVID-19 pandemic", "Child", "Child Behavior", "Child Development", "Code", "Cognitive", "Development", "Devices", "Distant", "Doctor&apos", "s Degree", "Environment", "Family", "Feeling", "Frequencies", "Generations", "Geography", "Goals", "Health", "Institution", "Instruction", "Laboratories", "Lead", "Lesbian Gay Bisexual Transgender", "Mentors", "Methods", "Motivation", "National Institute of Child Health and Human Development", "Observational Study", "Outcome Measure", "Paper", "Parents", "Play", "Publishing", "Randomized", "Reading", "Reporting", "Research", "Research Personnel", "Science", "Self Efficacy", "Social Interaction", "Structure", "Students", "Technology", "Translating", "Triad Acrylic Resin", "Underrepresented Populations", "Video Recording", "Work", "base", "college", "design", "digital", "digital media", "grandchild", "grandparent", "improved", "joint attention", "journal article", "pandemic disease", "posters", "primary outcome", "secondary outcome", "social", "symposium", "undergraduate student", "video chat" ], "approved": true } }, { "type": "Grant", "id": "10617", "attributes": { "award_id": "1R35GM146861-01", "title": "Molecular Mechanisms of Programmed Necrosis Execution", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 24077, "first_name": "Baishali", "last_name": "Maskeri", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-20", "end_date": "2027-07-31", "award_amount": 410000, "principal_investigator": { "id": 26659, "first_name": "Ayaz", "last_name": "Najafov", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1215, "ror": "", "name": "UT SOUTHWESTERN MEDICAL CENTER", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "Necroptosis is a caspase-independent type of programmed necrosis. The activation of the necroptosis signaling cascade is implicated in the pathogenesis of various human diseases, including cancer, inflammatory bowel disease, liver injury, pancreatitis, neurodegenerative disorders, and a diverse range of viral, bacterial, and fungal infections, including SARS-CoV-2. The necroptosis signaling cascade is mediated by the sequential activation of RIPK1 and RIPK3 kinases downstream of pro-inflammatory ligands such as TNF or microbe-associated molecules. MLKL is a pseudokinase that tetramerizes upon phosphorylation by RIPK3 to form water-permeable pores that drive cell membrane rupture. This pore formation stage leads to the necrotic phenotype of necroptosis. It is also a critical point of cell fate determination, as necroptosis execution can be halted and reversed at the MLKL stage. The mechanisms regulating MLKL activation and execution of this type of programmed necrosis are poorly understood. Here, we will fill in the gaps of our understanding of the molecular mechanisms that regulate MLKL activation, tetramerization, and execution of necroptotic cell death via phosphorylation and ubiquitination. We aim to determine the mechanistic roles of the MLKL post-translational modification events in promoting or suppressing MLKL tetramerization and identify the enzymes regulating MLKL-driven necrotic cell death via these events. We also aim to determine which structural factors are required downstream of MLKL to execute the necroptotic cell death. Finally, to validate the roles of these enzymes and factors in mediating necroptosis in vivo, we will test how their genetic knockouts affect sensitivity to Vaccinia virus infection, contributing to the future development of strategies for enhancing host anti-viral response. Overall, this project will significantly expand our understanding of the cellular signaling mechanisms upstream and downstream of MLKL at the necroptosis execution stage and pave the way for future anti-microbial therapies, as well as treatments for diseases that involve necroptosis execution.", "keywords": [ "2019-nCoV", "Affect", "Antiviral Response", "Bacterial Infections", "Caspase", "Cell Death", "Cell membrane", "Cells", "Development", "Disease", "Enzymes", "Event", "Future", "Genetic", "Inflammatory", "Inflammatory Bowel Diseases", "Knock-out", "Ligands", "Malignant Neoplasms", "Mediating", "Microbe", "Molecular", "Mycoses", "Necrosis", "Neurodegenerative Disorders", "Pancreatitis", "Pathogenesis", "Permeability", "Phenotype", "Phosphorylation", "Phosphotransferases", "Post-Translational Protein Processing", "RIPK1 gene", "RIPK3 gene", "Regulation", "Role", "Rupture", "Signal Transduction", "TNF gene", "Testing", "Ubiquitination", "Vaccinia virus", "Virus Diseases", "Water", "Work", "antimicrobial", "human disease", "in vivo", "liver injury" ], "approved": true } }, { "type": "Grant", "id": "10618", "attributes": { "award_id": "1R01NR020855-01", "title": "Leveraging SNAP to Improve Mental Health Outcomes: Evidence from the COVID-19 Emergency Response", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Nursing Research (NINR)" ], "program_reference_codes": [], "program_officials": [ { "id": 6234, "first_name": "Dionne", "last_name": "Godette", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-21", "end_date": "2026-06-30", "award_amount": 602683, "principal_investigator": { "id": 26660, "first_name": "Chima", "last_name": "Ndumele", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 452, "ror": "https://ror.org/03v76x132", "name": "Yale University", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true }, "abstract": "Social determinants, including those related to food and housing, have a powerful impact on health, but there is uncertainty on how to best leverage policy to improve individuals’ social circumstances and related health outcomes. Presently, 11% of Americans have food insecurity, including 35% of families with incomes below the federal poverty line, and rates of food insecurity have increased dramatically during the COVID-19 pandemic. A growing literature finds associations between food security and mental health, positing a bi-directional relationship, wherein food insecurity increases stress and anxiety leading to poorer mental health, and serious mental illness impairs consistent access to food. Improving food security may be critical to improving mental health in low-income populations, particularly with COVID-19, but opportunities to examine the causal impact of such an intervention are rare. The Supplemental Nutrition Assistance Program (SNAP) has been shown to be effective in reducing, but not eliminating, food insecurity for low-income households. Many families on SNAP have residual food insecurity due to early exhaustion of SNAP benefits. Many policy experts believe that an increased investment in SNAP would both enhance the capacity of recipients to purchase healthy food and smooth the consumption of their benefits, potentially improving health outcomes. But this hypothesis has not been rigorously tested to date. During the pandemic, the federal government took unprecedented steps to increase SNAP benefits to low-income families. In January 2021, SNAP household budgets were increased by 15%, leading to an increase in federal SNAP benefits of about $40 per month on average. We leverage this natural experiment to examine whether increased food security from the SNAP changes reduced mental illness during the pandemic. We will thereby elucidate the causal relationship between food security and mental health, and their links to healthcare utilization. Finally, we will assess changes in the rate of benefit spending to inform the broader design of SNAP policy to optimize health outcomes. Our specific Aims are to a) assess whether increased SNAP budget allotments was associated with changes in indicators of mental health during the COVID-19 pandemic, b) examine the effect of an increase in SNAP budget allotment on the use of, and adherence to, recommended care services, and rates of adverse outcomes and health care costs among low- income individuals with previously diagnosed conditions, and c) estimate whether an increase in SNAP budget allotments impacted patterns of SNAP monthly benefit use. To answer these first-order policy questions, we use a data from a novel, linked panel dataset that spans the COVID-19 pandemic and includes administrative Medicaid claims, administrative claims from the SNAP program, and data on the weekly use of SNAP benefits for beneficiaries. Our team is well-positioned to examine the understudied link between food insecurity and mental health and to assess the related public health, clinical, and policy implications.", "keywords": [ "Adherence", "American", "Anxiety", "Area", "Budgets", "COVID-19", "COVID-19 pandemic", "Clinical", "Connecticut", "Consumption", "Data", "Data Set", "Diagnosis", "Emergency response", "Family", "Family Leave", "Federal Government", "Food", "Food Access", "Food Policy", "Frequencies", "Health", "Health Care Costs", "Health Food", "Health Policy", "Health Services", "Heart Diseases", "Hospitalization", "Household", "Housing", "Impairment", "Income", "Individual", "Interdisciplinary Health Team", "Intervention", "Investments", "Link", "Literature", "Low Income Population", "Low income", "Malnutrition", "Mediating", "Medicaid", "Mental Health", "Mental disorders", "Natural experiment", "Outcome", "Pathway interactions", "Pattern", "Persons", "Physicians", "Physiologic pulse", "Policies", "Population", "Positioning Attribute", "Poverty", "Public Health", "Reporting", "Research Personnel", "Residual state", "Resources", "Stress", "Surveys", "Testing", "Time", "Treatment outcome", "Uncertainty", "adverse outcome", "behavioral health", "beneficiary", "care systems", "comorbidity", "cost", "design", "diabetes risk", "exhaust", "exhaustion", "food insecurity", "food security", "health care service utilization", "improved", "lower income families", "novel", "nutrition", "pandemic disease", "policy implication", "programs", "response", "severe mental illness", "social", "social determinants", "symptom treatment" ], "approved": true } } ], "meta": { "pagination": { "page": 1392, "pages": 1405, "count": 14046 } } }