Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1383&sort=award_id
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=award_id", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1419&sort=award_id", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1384&sort=award_id", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1382&sort=award_id" }, "data": [ { "type": "Grant", "id": "6398", "attributes": { "award_id": "5UG4LM012341-05", "title": "Regional Medical Library for the National Network of Libraries of Medicine Region 7 (Arizona, California, Hawaii, Nevada, and U.S. Territories in the Pacific Basin).", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Library of Medicine (NLM)" ], "program_reference_codes": [], "program_officials": [ { "id": 21523, "first_name": "LYNDA R", "last_name": "HARDY", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2016-05-01", "end_date": "2021-10-31", "award_amount": 1446990, "principal_investigator": { "id": 21524, "first_name": "JUDITH C.", "last_name": "CONSALES", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 818, "ror": "", "name": "UNIVERSITY OF CALIFORNIA LOS ANGELES", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 818, "ror": "", "name": "UNIVERSITY OF CALIFORNIA LOS ANGELES", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": " DESCRIPTION (provided by applicant): The NN/LM Pacific Southwest Region consists of a vast and diverse area of roughly 48 million people. The RML, based at the UCLA Louise M. Darling Biomedical Library in Los Angeles, supports a variety of libraries and health information centers in Arizona, California, Hawaii, Nevada, and the U. S. Territories in the Pacific. The Region stretches across six time zones, as well as the International Date Line. The geographic diversity presents a study in contrasts and great differences in information needs, from the urban hubs of Los Angeles, San Francisco, San Diego, Phoenix, and Las Vegas, to the remote island communities of the Pacific. The Region covers 11% of the total U.S. land area, and includes nearly 16% of the total U. S. population. In addition to the great geographical distances, the Region is culturally, ethnically, and linguistically very diverse. Over 200 languages and dialects are known to be spoken and read in California, making it one of the most linguistically diverse areas in the world. Arizona is home to many Native Americans and Hispanic Americans, Nevada has many frontier counties, and Hawaii has the largest population of Native Hawaiians. Another challenge is the changing landscape of health sciences libraries, particularly hospital libraries, which are undergoing a continuing trend of downsizing and closure, primarily due to institutional economic pressures and retirements of senior librarians. Despite these challenges, we have developed a program to publicize and promote the resources and services of the National Library of Medicine to as many audiences as possible. One of our key strategies is carefully planning the timing of webinars and other online meetings for the convenience of all parts of the Region. We also make extensive use of social media channels, two blogs, and an electronic announcement list to promote the word about new or revised NLM resources, upcoming events, technology tips, training information, and funding opportunities that may be of interest to our constituents. To support hospital librarians, we have extensively supported advocacy efforts by sponsoring workshops and providing professional development funding directed at hospital librarians wishing to enhance their skills. The Louise M. Darling Biomedical Library proposes to continue providing Regional Medical Library services to the states of Arizona, California, Hawaii, Nevada, and U.S. Territories in the Pacific Basin for the 2016-2021 Cooperative Agreement. We recognize that technologies and health information priorities will change during the course of the agreement, and we stand ready to monitor and evaluate the communication tools used by our primary audiences, and to adapt our methods accordingly. We believe that the program put forward in this proposal to serve the NN/LM Pacific Southwest Region provides a balanced, logical, and flexible approach to improving access to health information and to promoting the systems and services of the National Library of Medicine.", "keywords": [ "Access to Information", "Advocacy", "Agreement", "Area", "Arizona", "California", "Communication Tools", "Communities", "Development", "Economics", "Education", "Educational workshop", "Event", "Funding", "Funding Opportunities", "Geographic Factor", "Geography", "Hawaii", "Health", "Health Professional", "Health Science Library", "Hispanic Americans", "Home environment", "Hospital Libraries", "Hospitals", "Improve Access", "Individual", "Information Centers", "Information Resources", "International", "Island", "Language", "Librarians", "Libraries", "Library Services", "Linguistics", "Los Angeles", "Medical Libraries", "Medicine", "Methods", "Mission", "Monitor", "Native Americans", "Native Hawaiian", "Nevada", "Population", "Public Health", "Resources", "Retirement", "San Francisco", "Services", "Stretching", "System", "Technology", "Time", "Training", "U-Series Cooperative Agreements", "United States National Library of Medicine", "Work", "base", "expectation", "flexibility", "frontier counties", "improved", "interest", "meetings", "member", "outreach", "pressure", "programs", "response", "skills", "social media", "trend", "webinar" ], "approved": true } }, { "type": "Grant", "id": "7574", "attributes": { "award_id": "5UG4LM012346-05", "title": "National Network of Libraries of Medicine Greater Midwest (Region 3)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Library of Medicine (NLM)" ], "program_reference_codes": [], "program_officials": [ { "id": 8207, "first_name": "ALAN", "last_name": "VANBIERVLIET", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2016-05-01", "end_date": "2022-04-30", "award_amount": 2279507, "principal_investigator": { "id": 23373, "first_name": "LINDA J", "last_name": "WALTON", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 220, "ror": "https://ror.org/036jqmy94", "name": "University of Iowa", "address": "", "city": "", "state": "IA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 220, "ror": "https://ror.org/036jqmy94", "name": "University of Iowa", "address": "", "city": "", "state": "IA", "zip": "", "country": "United States", "approved": true }, "abstract": " DESCRIPTION (provided by applicant):This proposal describes how the Hardin Library for the Health Sciences (HLHS), University of Iowa will assist the National Network of Libraries of Medicine (NN/LM), a program of the National Library of Medicine (NLM) with its mission of advancing the progress of medicine and improving the health of the public by: 1) providing all U.S. health professionals with equal access to biomedical information and, 2) improving the public's access to information to enable them to make informed decisions about their health. Located within the Greater Midwest Region (GMR), the Hardin Library proposes to serve as the Regional Medical Library for one of the largest and most diverse regions in the Network using leadership, partnerships and innovations as the backbone of the network. The RML will actively involve network members in supporting the mission through training and awards. The GMR includes ten states: Iowa, Illinois, Indiana, Kentucky, Michigan, Minnesota, North Dakota, Ohio, South Dakota, and Wisconsin. All states in the Greater Midwest Region have pockets large and small of poverty and medically underserved areas in both urban and rural communities. With tools from the U.S. Census Bureau and the Health Resources and Services Administration (HRSA) we can now drill down to counties within states to help us to identify those areas that are economically and medically underserved and to target these communities in our outreach in order to improve their access to health and medical information. We are requesting $6.5 million over a 5-year period for this proposal.", "keywords": [ "Access to Information", "Area", "Award", "Censuses", "Communication", "Communities", "Community Health", "County", "Data", "Disasters", "Economics", "Education", "Education and Outreach", "Emergency Situation", "Ensure", "Grant", "Health", "Health Professional", "Health Resources", "Health Science Library", "Health Sciences", "Healthcare", "Illinois", "Indiana", "Individual", "Information Resources", "Internet", "Interruption", "Iowa", "Kentucky", "Knowledge", "Leadership", "Librarians", "Libraries", "Life Cycle Stages", "Location", "Medical", "Medical Libraries", "Medically Underserved Area", "Medicine", "Michigan", "Midwestern United States", "Minnesota", "Mission", "North Dakota", "Ohio", "Poverty", "PubMed", "Public Health", "Readiness", "Research Personnel", "Resources", "Rural Community", "Services", "South Dakota", "Time", "Training", "United States Health Resources and Services Administration", "United States National Library of Medicine", "Universities", "Vertebral column", "Wisconsin", "Work", "community organizations", "data management", "health training", "improved", "innovation", "medically underserved", "member", "outreach", "peer networks", "programs", "response", "skills", "tool" ], "approved": true } }, { "type": "Grant", "id": "6659", "attributes": { "award_id": "5UG4LM013725-02", "title": "NNLM Region 5: Reaching More People in More Ways", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Library of Medicine (NLM)" ], "program_reference_codes": [], "program_officials": [ { "id": 22319, "first_name": "LYNDA R", "last_name": "HARDY", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-05-01", "end_date": "2026-04-30", "award_amount": 1301788, "principal_investigator": { "id": 22320, "first_name": "Tania P", "last_name": "Bardyn", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 159, "ror": "https://ror.org/00cvxb145", "name": "University of Washington", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true } ] }, "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": "– Overall, NNLM Region 5 RML/University of Washington The University of Washington will operate a Regional Medical Library (RML) for the Network of the National Library of Medicine (NNLM) Region 5 (AK, CA, HI, NV, OR, WA and U.S. Territories and Freely Associated States in the Pacific). Health professionals, librarians and communities are facing complex public health challenges, including COVID-19, rising unemployment, and increasing food and housing insecurity. To address these barriers, in May 2021, the RML will launch Reaching More People in More Ways, an innovative regional medical library program, to advance data driven health, health equity and health literacy by offering NNLM services, funding and training through national and regional partnerships. The major aims of this program are: Aim 1: to collaborate with Network member organizations and regional, state and local partners, who in turn diffuse culturally and linguistically appropriate resources with the communities they serve; Aim 2: to teach health professionals and librarians in national and regional education programs more about their roles in providing equitable access to high quality health information by promoting NLM resources; Aim 3: to support inclusive programming that addresses race and ethnicity; sexual and gender minorities; cognitive and physical abilities; religious background or identification; socio-economic status (past and current); education level, health literacy, and linguistic needs; geographic location including underrepresented populations from medically underserved areas; and other factors or demographics that create unequal access to the highest level of health; Aim 4: to increase NNLM membership with health advocacy organizations that create positive change through direct outreach and services to vulnerable populations; Aim 5: to partner with new and existing organizations to advance data literacy and bioinformatics competencies to the widest audience possible; and Aim 6: to address technology needs, and digital access with a focus on underrepresented communities. The results will maximize use of NLM programs and resources to accelerate discovery and advance public health in Region 5.", "keywords": [ "Address", "Alaska", "Award", "Bioinformatics", "COVID-19", "California", "Cognitive", "Collaborations", "Communities", "Community Health", "Competence", "Complex", "Data", "Development", "Diffuse", "Education", "Educational Background", "Emergency Situation", "Ethnic Origin", "Food", "Funding", "Funding Opportunities", "Gender Identity", "Geographic Locations", "Geography", "Hawaii", "Health", "Health Professional", "Health Status", "Housing", "Information Resources", "Information Services", "Librarians", "Linguistics", "Medical Libraries", "Medically Underserved Area", "Nevada", "Oregon", "Persons", "Public Health", "Race", "Religion and Spirituality", "Research Personnel", "Resources", "Role", "Services", "Sex Orientation", "Sexual and Gender Minorities", "Socioeconomic Status", "Technology", "Time", "Training", "Underrepresented Populations", "Unemployment", "United States National Library of Medicine", "Universities", "Vulnerable Populations", "Washington", "Work", "advocacy organizations", "biological sex", "data literacy", "demographics", "digital", "first responder", "gender expression", "health data", "health equity", "health literacy", "improved", "innovation", "learning progression", "member", "outreach services", "programs", "service engagement", "training opportunity" ], "approved": true } }, { "type": "Grant", "id": "6972", "attributes": { "award_id": "5UH3DK114920-05", "title": "Spatial Metabolomics for Human Kidneys", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)" ], "program_reference_codes": [], "program_officials": [ { "id": 20726, "first_name": "Cindy", "last_name": "Roy", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2017-09-15", "end_date": "2022-06-30", "award_amount": 993136, "principal_investigator": { "id": 20727, "first_name": "Kumar", "last_name": "Sharma", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 748, "ror": "", "name": "UNIVERSITY OF TEXAS HLTH SCIENCE CENTER", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 748, "ror": "", "name": "UNIVERSITY OF TEXAS HLTH SCIENCE CENTER", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "/ Abstract Acute kidney injury (AKI) and chronic kidney disease (CKD) are major contributors to overall morbidity and mortality in patients in the US. The overall objective of the proposed study is to establish untargeted and targeted spatial metabolomics analysis of tissues from normal and diseased kidneys to assess cellular metabolic states associated with healthy function, acute injury, chronic condition, and recovery. We will employ ultra-high resolving power imaging mass spectrometry (e.g., MALDI-FTICR-IMS) complemented with novel bioinformatics (e.g., METASPACE) for metabolite annotation and big data interrogation strategies to identify alterations of metabolism in diseased kidneys compared with normal ones. Our Tissue Interrogation Site will be a multi-disciplinary coordinated program composed of leadership in translational nephrology and imaging mass spectrometry at UCSD, outstanding facilities for multi-omics analysis at Pacific Northwest National Laboratories (PNNL), and bioinformatics for mass spectrometry imaging and 3-D reconstruction housed at European Molecular Biology Laboratories (EMBL). Three specific aims in each phase (i.e., UG3 and UH3) are proposed. In particular, we will establish an untargeted and targeted spatial metabolomics platforms for human kidney interrogation and develop an open bioinformatics platform for data interrogation, 3-D reconstruction, molecular interpretation and public sharing. In the UH3 phase, the untargeted and targeted platforms will be scaled up to improve metabolite coverage and develop key metabolic pathways for specific renal compartments in kidneys from individuals with AKI, CKD, and disease subgroups. Moreover, the bioinformatics platform will also be scaled up to establish 3D (a next-generation technology) metabolite-based maps of kidney structure in normal and diseased kidneys. A web-service SM-Kidney will be implemented as the online platform to have all the datasets and the results publicly sharable. We will contribute and collaborate with the Central Hub (CH) to integrate our service for the formation of a molecular kidney atlas. With strong collaborations among the key personnel from UCSD, PNNL, EMBL, and other universities, institutes, and industry partners, our multidisciplinary team will reach key milestones during both the UG3 and UH3 phases. Milestones include 1) the development of a comprehensive untargeted database of metabolite annotations in the normal human renal compartments, 2) targeted spatial metabolomics analysis for selected classes of metabolites and pathways, 3) methods and SOPs that meet rigorous QC standards for tissue procurement, initial processing and IMS with optical imaging and 4) providing the online service SM-Kidney with a graphical user interface to evalaute spatial metabolic profiles associated with kidney disease and pathogenesis. All protocols, samples, data, and metabolite atlas of normal, AKI, and CKD samples will be shared across the KPMP.", "keywords": [ "3-Dimensional", "Acute", "Acute Renal Failure with Renal Papillary Necrosis", "Anatomy", "Area", "Atlases", "Big Data", "Bioinformatics", "Biological Markers", "Blood", "California", "Cells", "Chronic", "Chronic Kidney Failure", "Collaborations", "Communities", "Complement", "Data", "Data Set", "Databases", "Development", "Diagnostic", "Disease", "Disease Progression", "European", "Fourier transform ion cyclotron resonance", "Goals", "Human", "Human Resources", "Image", "In Situ", "Individual", "Injury", "Institutes", "Kidney", "Kidney Diseases", "Knowledge", "Laboratories", "Leadership", "Maps", "Mass Spectrum Analysis", "Metabolic", "Metabolic Pathway", "Metabolism", "Methods", "Molecular", "Molecular Biology", "Morbidity - disease rate", "Nephrology", "Normal tissue morphology", "Pacific Northwest", "Pathogenesis", "Pathway interactions", "Patients", "Phase", "Phenotype", "Preventive", "Protocols documentation", "Recovery", "Resolution", "Sampling", "Services", "Site", "Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization", "Statistical Data Interpretation", "Structure", "Technology", "Therapeutic", "Tissue Procurements", "Tissues", "Translating", "Universities", "Urine", "base", "bioinformatics resource", "design", "disease heterogeneity", "disorder subtype", "graphical user interface", "high resolution imaging", "improved", "industry partner", "metabolic profile", "metabolomics", "mortality", "multidisciplinary", "multiple omics", "next generation", "novel", "optical imaging", "precision medicine", "prognostic", "programs", "reconstruction", "scale up", "small molecule", "ultra high resolution", "web services" ], "approved": true } }, { "type": "Grant", "id": "5558", "attributes": { "award_id": "5UH3MH114249-05", "title": "Mechanisms underlying resilience to neighborhood disadvantage", "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": 19290, "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": "2017-09-01", "end_date": "2023-06-30", "award_amount": 853587, "principal_investigator": { "id": 19291, "first_name": "S. Alexandra", "last_name": "Burt", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 19292, "first_name": "Luke Williamson", "last_name": "Hyde", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 521, "ror": "https://ror.org/05hs6h993", "name": "Michigan State University", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "Decades of research have confirmed the damaging effects of neighborhood disadvantage on physical, socioeconomic, and mental health outcomes. Even so, many children growing up in disadvantaged neighborhood contexts demonstrate adaptive competence. How do children achieve these resilient outcomes in the face of such adversity? Extant studies indicate that familial- and community-level factors protect these children from the many stressors found in disadvantaged neighborhoods. Very little work, however, has considered the neurobehavioral pathways through which these protective processes confer resilience. The proposed UG3/UH3 will do just this, identifying neural markers of resilience and illuminating the multilevel epigenetic, environmental, and genetic processes through which protective factors promote these neuro-resilient pathways. We propose to re-assess a sample of 500 adolescent twin pairs (at age 11-16 years; previously assessed between ages 6 and 10) residing in modestly-to-severely disadvantaged neighborhoods. We will employ cutting-edge neuroimaging methodologies (i.e., joint models that bridge task and resting fMRI, DTI, and sMRI) to identify the synergistic neural networks that are associated with resilience (operationalized here as adaptive competence and the absence of psychopathology), while also capitalizing on the longitudinal and genetically-informed nature of our unique `at-risk' twin sample to illuminate the etiologic processes underlying neural markers of resilience. We specifically postulate that, by protecting youth from the stressors presents in disadvantage contexts, positive parents and communities enable children to develop the normative neural architecture that undergirds subsequent adaptive outcomes, even in the face of adversity. Our genetically-informed developmental neuroscience approach will thus provide an unprecedented opportunity to illuminate the multilevel biobehavioral pathways leading to resilience, and in this way, fundamentally advance our understanding of adaptation in the face of chronic adversity.", "keywords": [ "Adolescent", "Age", "Architecture", "Behavioral", "Brain", "Buffers", "Child", "Child Rearing", "Chronic", "Communities", "Competence", "Decision Making", "Development", "Disadvantaged", "Epigenetic Process", "Etiology", "Family", "Functional Magnetic Resonance Imaging", "Genetic", "Genetic Processes", "Health", "Heritability", "Image", "Joints", "Mediating", "Mental Health", "Methodology", "Methylation", "Modeling", "Monozygotic twins", "Nature", "Neighborhoods", "Neurosciences", "Outcome", "Parents", "Pathway interactions", "Process", "Psychopathology", "Research", "Rest", "Risk", "Sampling", "Shapes", "Social Processes", "Structure", "Time", "Twin Multiple Birth", "Work", "Youth", "base", "biobehavior", "emotion regulation", "epigenetic marker", "independent component analysis", "neighborhood disadvantage", "neural network", "neurobehavioral", "neuroimaging", "prospective", "protective factors", "relating to nervous system", "resilience", "skills", "social cohesion", "socioeconomics", "stressor" ], "approved": true } }, { "type": "Grant", "id": "6584", "attributes": { "award_id": "5UH3OD023290-06", "title": "Identifying Newborns at Risk of Adverse Neurodevelopmental Outcomes and Obesity from Air Pollution.", "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": 22063, "first_name": "SUSAN ALISON", "last_name": "Laessig", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2016-09-21", "end_date": "2023-08-31", "award_amount": 1639327, "principal_investigator": { "id": 22064, "first_name": "Julie Beth", "last_name": "Herbstman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 22065, "first_name": "FREDERICA P", "last_name": "PERERA", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 781, "ror": "", "name": "COLUMBIA UNIVERSITY HEALTH SCIENCES", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "PROJECT SUMMARY: The goal of the Columbia Center for Children’s Environmental Health (CCCEH) is to contribute to the ECHO consortium and to develop, validate, and implement an urgently needed new biomarker measurable in an easy-to-obtain, small-volume cord blood sample that reflects prenatal exposure to widespread environmental pollutants, polycyclic aromatic hydrocarbons (PAH), and is predictive of risk of adverse outcomes in the domains of obesity and neurodevelopment. Identification of newborns at increased risk will allow for needed early interventions. Once validated in CCCEH cohorts for PAH, this approach will be scalable to the ECHO Consortium and can be applied to the prevention of risks from other environmental exposures. The Columbia Center for Children’s Environmental Health (CCCEH) birth cohorts, comprised of mothers and children who are low income and minority (largely African-American and Latino), will make a unique contribution to the ECHO Consortium (“Virtual Cohort”). They include the Mothers and Newborns, Sibling, and Fair Start birth cohorts, for a total of 886 children presently enrolled, current funding allows for a total of 1,048 children to be enrolled by 2018. This project will leverage the comprehensive dataset already acquired by CCCEH on the associations between prenatal exposure to a widespread toxic pollutant, polycyclic aromatic hydrocarbons (PAH), and adverse outcomes including reduced IQ and ADHD as well as obesity in childhood. In a series of feasibility studies in UG3, extensive data on prenatal PAH exposure (via personal air monitoring, PAH urinary metabolites and PAH-DNA adducts) and DNA methylation in cord blood will be used to develop and validate a novel epigenetic biomarker that will identify newborns who had high prenatal PAH exposure. The PAH-related methylome will then be tested to determine whether it can be used to predict adverse postnatal neurodevelopmental and obesogenic outcomes (“PAH-related risk methylome”). A mechanistic aim will assess whether PAH-related structural brain changes are mediating the effect of the PAH-related methylome on neurodevelopmental outcomes. In addition, to better understand the contribution of various emission sources to overall PAH exposure estimated by the PAH methylome, a variety of metrics will be used including modeled black carbon (BC) exposure, modeled residential distance to roadways, PAH-hemoglobin adducts in cord blood and PAH measured via passive wristband samplers. In the UH3 phase of the grant, the methylomic approach will be tested in the larger ECHO cohort to cross-validate and evaluate the prediction models in different populations across the country. The cohorts of the CCCEH will extend the value by the ECHO consortium to answer critical questions relating to the role of the early life environment on children’s health.", "keywords": [ "African American", "Age", "Air Pollution", "Area", "Aromatic Polycyclic Hydrocarbons", "Attention deficit hyperactivity disorder", "Behavior", "Biological Markers", "Biological Specimen Banks", "Birth", "Blood specimen", "Brain", "Brain imaging", "Carbon Black", "Child", "Child Health", "Childhood", "Cognitive", "Cohort Studies", "Collection", "Country", "DNA Adducts", "DNA Methylation", "Data", "Data Set", "Databases", "Early Intervention", "Enrollment", "Environment", "Environmental Exposure", "Environmental Health", "Environmental Pollutants", "Exposure to", "Feasibility Studies", "Funding", "Genetic", "Goals", "Grant", "Hemoglobin", "Institutes", "Latino", "Life", "Low Income Population", "Low income", "Magnetic Resonance Imaging", "Measurable", "Measurement", "Measures", "Mediating", "Methods", "Minority", "Modeling", "Mothers", "Neurodevelopmental Problem", "New York City", "Newborn Infant", "Obesity", "Outcome", "Participant", "Phase", "Phenotype", "Population", "Pregnancy", "Prevention", "Preventive measure", "Probability", "Problem behavior", "Protocols documentation", "Risk", "Risk Marker", "Role", "Rural", "Sampling", "Secure", "Series", "Siblings", "Source", "Structure", "Testing", "Umbilical Cord Blood", "Urban Population", "Work", "adduct", "adverse outcome", "air monitoring", "base", "cognitive function", "cohort", "epigenetic marker", "epigenomics", "inner city", "inter-individual variation", "member", "methylation pattern", "methylome", "methylomics", "multi-ethnic", "neonate", "neurodevelopment", "novel", "obesogenic", "pollutant", "postnatal", "predictive modeling", "prenatal", "prenatal exposure", "prevent", "prospective", "study population", "urinary", "virtual" ], "approved": true } }, { "type": "Grant", "id": "12023", "attributes": { "award_id": "5UL1TR001873-08", "title": "Clinical and Translational Science Award", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Center for Advancing Translational Sciences (NCATS)" ], "program_reference_codes": [], "program_officials": [ { "id": 21618, "first_name": "Audie A", "last_name": "Atienza", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": "2026-05-31", "award_amount": 10299800, "principal_investigator": { "id": 27907, "first_name": "Muredach P", "last_name": "Reilly", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 781, "ror": "", "name": "COLUMBIA UNIVERSITY HEALTH SCIENCES", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "Contact PD/PI: Reilly, Muredach P OVERALL: PROJECT SUMMARY/ABSTRACT Our mission is to improve the health of our patients and communities both locally and nationally through innovations in clinical and translational research. Our strategic vision is to catalyze all phases of clinical and translational science (T0-T4), synergize with our partners and stakeholders, and integrate activities within our hub and across the national Clinical and Translational Science Award (CTSA) Program. To achieve this vision, we will build on our strong established track-record (e.g., in precision medicine), our plans to tackle important public-health challenges (e.g., COVID-19 pandemic, the opioid crisis) and to address critical barriers (e.g., innovation in use of electronic health records for research, clinical trial designs) as we embrace the CTSA Program priorities designated in PAR-18-940. Our vision is to transform the health and wellbeing of our communities in New York City, the nation and the world. To achieve this, we deploy our programs and resources to develop, demonstrate and disseminate innovations in clinical and translational science across the full translational spectrum. As a comprehensive CTSA, we offer a broad array of support for trainees, scholars and investigators across our entire hub which includes Columbia University, the Columbia University Irving Medical Center, the New York Psychiatric Institute, and New York Presbyterian Hospital. At the same time, we move flexibly and deeply to address critical scientific or institutional opportunities as well as major public health needs and gaps. We achieve success by approaching our goals at multiple levels: a) Ongoing strategic planning including an annual retreat to review operations and identify gaps, needs and opportunities; b) Monthly cross- cutting “Theme” meetings to enable collaborative problem-solving in addressing gaps and opportunities; c) An innovative Evaluation and Continuous Improvement strategy using participatory management to integrate evaluation into program planning and execution; and d) A highly successful, innovative interdisciplinary training and workforce development program built on a foundation of team science. Central to our efforts to improve health and wellbeing at personal, community and national levels is our emphasis on strategic collaboration and dissemination. Thus, we seek to continuously create and refine innovations for an integrated research- and user- friendly translational research environment at our hub by: Harnessing partnerships across our entire hub; Transforming collaborations with our local communities, the campus health system and across New York State; And by accelerating bidirectional dissemination of innovative practices and learnings through collaborations with the CTSA Program network and beyond. Project Summary/Abstract Page 221 Contact PD/PI: Reilly, Muredach P Narrative The Clinical and Translational Science Award (CTSA) allows Columbia University to support novel programs whose goal is to speed the transition from scientific discoveries made in the laboratory toward new therapies. Building on our strong established track-record, we will tackle important challenges and critical barriers to research. We will facilitate the training of scholars from diverse backgrounds underrepresented in translational science who are knowledgeable about and available to focus on translational science later in their careers.", "keywords": [ "Acceleration", "Address", "COVID-19 pandemic", "Clinical Research", "Clinical Sciences", "Clinical Trials Design", "Clinical and Translational Science Awards", "Collaborations", "Communities", "Dental", "Education", "Electronic Health Record", "Environment", "Evaluation", "Evolution", "Faculty", "Foundations", "Friends", "Goals", "Health", "Health Benefit", "Health system", "Healthcare", "Hospitals", "Infrastructure", "Institution", "Interdisciplinary Study", "Laboratories", "Lead", "Leadership", "Learning", "Medical center", "Medicine", "Methods", "Mission", "Modeling", "New York", "New York City", "Patients", "Personal Satisfaction", "Phase", "Physicians", "Presbyterian Church", "Problem Solving", "Process", "Program Development", "Public Health", "Public Health Schools", "Recording of previous events", "Research", "Research Methodology", "Research Personnel", "Resources", "School Nursing", "Schools", "Science", "Speed", "Strategic Planning", "Strategic vision", "Surgeon", "Time", "Training", "Translational Research", "Universities", "Vision", "Workforce Development", "career", "college", "dissemination science", "experience", "flexibility", "implementation science", "improved", "innovation", "meetings", "member", "novel", "novel therapeutics", "operation", "opioid epidemic", "precision medicine", "programs", "success", "synergism", "translational pipeline", "user-friendly" ], "approved": true } }, { "type": "Grant", "id": "11913", "attributes": { "award_id": "5UM2HD111076-02", "title": "Baylor College of Medicine Site Consortium - Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN) Operations and Collaborations Center (UM2 Clinical Trial Optional)", "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": "2022-09-22", "end_date": "2029-06-30", "award_amount": 312155, "principal_investigator": { "id": 26869, "first_name": "MARY E", "last_name": "PAUL", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 849, "ror": "", "name": "WESTAT, INC.", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "Baylor College of Medicine Harris County, which includes the City of Houston, is among the 48 counties in the United States (U.S.) in which more than 50 percent of new HIV diagnoses occur. There is an urgent need for innovative and collaborative new approaches to HIV treatment and prevention in adolescents and young adults (AYA) in Houston. The long-term goal of this research is to move the U.S. and Houston area closer to ending the HIV epidemic by addressing the issues involved in successful prevention and treatment of HIV in AYA. These goals align with Adolescent Trials Network (ATN) research objectives and Houston Consortium partnerships will allow research to be conducted in AYA in all five priority areas of the ATN: improving HIV testing, preventing new infections, engaging youth in care, improving treatment and treatment effectiveness, and reducing adverse HIV health outcomes due to COVID-19. We plan to accomplish the following specific aims as a site for HIV care, research, and prevention in AYA. Aim 1 – Conduct the Trials of the ATN as identified by the ATN Executive Committee (EC) and Scientific Leadership Committee (SLC): Baylor College of Medicine (BCM) ATN site has a longstanding research unit with staff with years of experience working with AYA, both in a clinical trials settings and in the community, who are living with HIV (LWH) or are at risk for HIV. Aim 2 – Participate in the Development of Trials: BCM's ATN Project Lead and staff have years of experience in development and conducting of clinical trials in AYA and so will work in collaboration with the ATN Operations and Collaborations Center (OCC) to develop and conduct the trials performed in the ATN. In addition, the BCM Youth Community Advisory Board, (YCAB), which has had members who have been active in the ATN Youth Advisory Council (YAC) and National CAB, Youth Experts and Advocates for Health (ATN-YEAH), will evaluate and provide input on developing studies and provide and enhance ideas for future studies. Aim 3 – Provide Innovation Regarding Successful Recruitment and Enrollment of Participants: As an ATN Site Consortium, we have the structure, experience, and outreach to approach this aim at multiple levels with outreach in hard-to- reach AYA including racial and gender minority and homeless youth. Aim 4 – Provide Sites (Texas Children's Hospital and Harris Health Northwest and Thomas Street Health Center) as well as outreach within the Houston ATN Consortium, local laboratory capacity, and pharmacy support in order to conduct the ATN trials in collaboration with the OCC. Aim 5 – Continued evaluation and adjustment of Houston collaborative consortium leadership model for meaningful and continued community engagement as reflected in ATN research study participation of AYA at risk for or LWH. We anticipate the expected outcomes of improvements in each ATN priority area along the continuums of HIV infection and prevention. This project is high impact because it will provide the necessary consortium in impacted communities of AYA in a high-priority region of the U.S. to collaborate with the OCC to make sustainable progress in reaching the ATN goals.", "keywords": [ "AIDS prevention", "Acquired Immunodeficiency Syndrome", "Address", "Adherence", "Adolescent Medicine Trials Network", "Adolescent and Young Adult", "Advisory Committees", "Advocate", "Affect", "African American population", "Area", "Black race", "COVID-19", "COVID-19 pandemic", "Caring", "Cities", "Clinical Trials", "Collaborations", "Communities", "Conduct Clinical Trials", "County", "Development", "Discipline of Nursing", "Drug Kinetics", "Epidemic", "Evaluation", "Failure", "Feedback", "Future", "Goals", "HIV", "HIV Infections", "HIV diagnosis", "HIV/AIDS", "Health", "Healthcare", "Heterosexuals", "Hispanic", "Homeless Youth", "Human Resources", "Human immunodeficiency virus test", "Individual", "Infection", "Intervention", "Laboratories", "Latino", "Latinx", "Lead", "Leadership", "Low income", "Medicaid", "Medical", "Medicine", "Minority Groups", "Modality", "Modeling", "Newly Diagnosed", "Online Systems", "Outcome", "Pediatric Hospitals", "Pharmacy facility", "Prevention", "Reporting", "Research", "Risk", "Services", "Site", "Structure", "Technology", "Texas", "Treatment Effectiveness", "Uninsured", "United States", "Work", "Youth", "age group", "case-based", "college", "community engagement", "design", "ethnic minority population", "experience", "gender minority youth", "health inequalities", "high risk", "human old age (65+)", "improved", "improved outcome", "innovation", "male", "marginalized community", "meetings", "member", "motivational enhancement therapy", "novel strategies", "operation", "outreach", "participant enrollment", "pre-exposure prophylaxis", "prevent", "prevention service", "programs", "racial minority", "recruit", "research study", "sexual minority group", "testing services", "transmission process", "treatment services", "uptake" ], "approved": true } }, { "type": "Grant", "id": "8493", "attributes": { "award_id": "6R01AI162611-02", "title": "Fast and flexible Bayesian phylogenetics via modern machine learning", "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": 12912, "first_name": "Misrak", "last_name": "Gezmu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-07-01", "end_date": "2026-06-30", "award_amount": 476064, "principal_investigator": { "id": 24257, "first_name": "Frederick Albert", "last_name": "Matsen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 758, "ror": "https://ror.org/007ps6h72", "name": "Fred Hutchinson Cancer Center", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 758, "ror": "https://ror.org/007ps6h72", "name": "Fred Hutchinson Cancer Center", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "Project Abstract/Summary The SARS-CoV-2 pandemic underlines both our susceptibility to and the toll of a global pathogen outbreak. Phylogenetic analysis of viral genomes provides key insight into disease pathophysiology, spread and po- tential control. However, if these methods are to be used in a viral control strategy they must reliably account for uncertainty and be able to perform inference on 1,000s of genomes in actionable time. Scaling Bayesian phylogenet- ics to meet this need is a grand challenge that is unlikely to be met by optimizing existing algorithms. We will meet this challenge with a radically new approach: Bayesian variational inference for phylogenet- ics (VIP) using flexible distributions on phylogenetic trees that are fit using gradient-based methods analogous to how one efficiently trains massive neural networks. By taking a variational approach we will also be able to integrate phylogenetic analysis into very powerful open-source modeling frameworks such as TensorFlow and PyTorch. This will open up new classes of models, such as neural network models, to integrate data such as sampling location and migration patterns with phylogenetic inference. These flexible models will inform strategies for viral control. In Aim 1 we will develop the theory necessary for scalable and reliable VIP, including subtree marginal- ization, local gradient updates needed for online algorithms, convergence diagnostics, and parameter support estimates. We will implement these algorithms in our C++ foundation library for VIP. In Aim 2 we will develop a flexible TensorFlow-based modeling platform for phylogenetics, enabling a whole new realm of phylogenetic models based on neural networks to learn phylodynamic heterogeneity with minimal program- ming effort. We will provide efficient gradients to this implementation via our C++ library. In Aim 3 we will use the fact that VIP posteriors are durable and extensible descriptions of the full data posterior to enable dynamic online computation of variational posteriors, including divide-and-conquer Bayesian phylogenetics. This work will enable a cloud-based viral phylogenetics solution to rapidly update our current estimate of the posterior distribution when new data arrive or the model is modified. 1", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10963", "attributes": { "award_id": "6R01HL161037-02", "title": "Longitudinal Impact of Respiratory Viruses on Bronchiolitis Obliterans Syndrome in Allogeneic Hematopoietic Cell Transplant Recipients", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Heart Lung and Blood Institute (NHLBI)" ], "program_reference_codes": [], "program_officials": [ { "id": 22653, "first_name": "EMMANUEL FRANCK", "last_name": "Mongodin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-12-01", "end_date": "2026-11-30", "award_amount": 723553, "principal_investigator": { "id": 22522, "first_name": "Guang-Shing", "last_name": "Cheng", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 757, "ror": "", "name": "FRED HUTCHINSON CANCER RESEARCH CENTER", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 758, "ror": "https://ror.org/007ps6h72", "name": "Fred Hutchinson Cancer Center", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "Bronchiolitis obliterans syndrome (BOS) is the most severe manifestation of chronic graft-versus-host disease (cGVHD) in survivors of allogeneic hematopoietic cell transplant (alloHCT), leading to irreversible pulmonary impairment, poor quality of life, and 5-year survival of 40%. Fundamental gaps in knowledge of the pathogenic events that contribute to progressive lung dysfunction in BOS have not been well characterized, hampering our ability to intervene effectively. Our preliminary data suggest that respiratory viruses, including respiratory syncytial virus (RSV), parainfluenza (PIV), human metapneumovirus (HMPV), and influenza (FLU), are independent risk factors for the development of BOS. Additionally, we show that asymptomatic respiratory viral infections (RVI) are common posttransplant. We have shown that mobile wireless home spirometry is feasible in patients with cGVHD and can enable early diagnosis and a granular understanding of the trajectory of lung function decline. Our overarching hypothesis is that cumulative respiratory viral exposure leads to the development of BOS and poor outcomes in the context of alloimmunity. The overall aim of this proposal is to establish the temporal relationship between RVI along the continuum of disease presentations, from asymptomatic to symptomatic upper respiratory tract to lower tract disease, and the lung function trajectory of BOS. We propose to conduct a multicenter prospective longitudinal study of the natural history of RVI and lung function with an innovative home monitoring approach that overcomes the barriers to understanding clinical events that lead to BOS and severe BOS phenotypes. Aim 1 investigates the role of RVI as triggers BOS. We will enroll alloHCT recipients at risk for BOS (Cohort 1, n=200), including those with a diagnosis of cGVHD or a history of high-risk RVI (RSV/PIV/HMPV/Flu/SARS-CoV2). Patient will perform weekly home spirometry and protocolized surveillance and symptom-prompted self-collected nasal swab viral PCR. In addition, serum will be collected quarterly via a needle-less home blood collection kit and assayed with VirScan, a novel comprehensive serosurvey that detects epitopes of >1000 virus strains, in order to assess the impact of cumulative respiratory viral burden on BOS outcomes. Aim 2 examines the role of RVI on pulmonary exacerbations in BOS, as well as the association of cumulative RVI exposure (as determined by VirScan) on accelerated FEV1 decline in patients with a severe BOS phenotype. Patients with a clinical diagnosis of BOS (Cohort 2, n=80), will perform the same procedures as Cohort 1. For both aims, viral PCR and VirsScan results will be compared and analyzed as predictors for BOS development or accelerated FEV1 decline. The critical data generated by this study will improve recognition of early BOS in the context of RVI, risk stratify patients at highest risk for intensive monitoring, and identify tangible endpoints and biologic rationale for testing early interventions and novel therapies. Importantly, this proposal will also establish a unique adult and pediatric multicenter Consortium with the specific goal of addressing lung disease in HCT recipients, an area of significant and urgent unmet need.", "keywords": [ "2019-nCoV", "Address", "Adult", "Allogenic", "Area", "Biological", "Biological Assay", "Blood", "Bronchiolitis Obliterans", "COVID-19 pandemic", "Child", "Childhood", "Clinic", "Clinical", "Collection", "Coupled", "Data", "Development", "Devices", "Diagnosis", "Disease", "Early Diagnosis", "Early Intervention", "Enrollment", "Epidemiology", "Epitopes", "Event", "Forced expiratory volume function", "Functional disorder", "Goals", "Home", "Human Metapneumovirus", "Impairment", "Infection", "Influenza", "Intervention", "Knowledge", "Lead", "Longitudinal Studies", "Longitudinal prospective study", "Lung", "Lung diseases", "Medical", "Monitor", "Natural History", "Needles", "Newly Diagnosed", "Outcome", "Parainfluenza", "Pathogenesis", "Pathogenicity", "Patients", "Phenotype", "Procedures", "Protocols documentation", "Pulmonary Function Test/Forced Expiratory Volume 1", "Pulmonary function tests", "Quality of life", "Questionnaires", "Recording of previous events", "Respiratory syncytial virus", "Risk", "Risk Factors", "Role", "Serology test", "Serum", "Spirometry", "Survivors", "Symptoms", "Syndrome", "Technology", "Testing", "Therapeutic Intervention", "Time", "Transplant Recipients", "Upper respiratory tract", "Viral", "Viral Load result", "Viral Respiratory Tract Infection", "Virus", "allogeneic disease", "base", "chronic graft versus host disease", "clinical diagnosis", "clinically relevant", "clinically significant", "cloud based", "cohort", "design", "flu", "follow-up", "hematopoietic cell transplantation", "high risk", "improved", "improved outcome", "innovation", "isoimmunity", "mortality", "nasal swab", "novel", "novel therapeutics", "patient stratification", "post-transplant", "prospective", "pulmonary function", "pulmonary function decline", "remote health care", "respiratory", "respiratory virus", "risk stratification", "sample collection", "serosurvey", "virome", "wireless" ], "approved": true } } ], "meta": { "pagination": { "page": 1383, "pages": 1419, "count": 14184 } } }