Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1383&sort=funder
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=funder", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1397&sort=funder", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1384&sort=funder", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1382&sort=funder" }, "data": [ { "type": "Grant", "id": "12095", "attributes": { "award_id": "3U01HL145358-04S1", "title": "Continuation of the NuMoM2b Heart Health Study", "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": 23545, "first_name": "Kristin", "last_name": "Burns", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-09-01", "end_date": "2027-01-31", "award_amount": 2129960, "principal_investigator": { "id": 27952, "first_name": "Philip", "last_name": "Greenland", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 27953, "first_name": "Rebecca Boehm", "last_name": "McNeil", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 27954, "first_name": "GEORGE R.", "last_name": "SAADE", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 809, "ror": "", "name": "RESEARCH TRIANGLE INSTITUTE", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "Adverse pregnancy outcomes (APO), including hypertensive disorders of pregnancy, preterm birth, small for gestational age birth, and gestational diabetes, are associated with cardiovascular disease (CVD) risk in mothers. The Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-To-Be (nuMoM2b) collected biospecimens during pregnancy and extensive phenotyping data for 10,038 nulliparous women from 2010-13. The nuMoM2b Heart Health Study is comprised of 7,003 nuMoM2b participants who were recontacted at least once after their nuMoM2b birth, 4,508 of whom returned for an in-person CVD risk factor assessment 2-7 years later. This cohort is currently in a second phase of followup, with multiple ancillary studies running in parallel, and is uniquely positioned to address questions about the complex interplay of APOs and maternal CVD. Unfortunately, the network is facing several challenges related to the downstream effects of the COVID-19 pandemic. We propose four activities to address these challenges, improve participant engagement, and expand the network infrastructure: • Increasing participant incentives. Prior increases in incentives have resulted in improved rates of survey completion. We plan an additional increase, reflecting the significant time investment and commitment of our study participants. • Increasing study network support. Downstream effects of the COVID-19 pandemic include reduced participant engagement with research studies and increased rates of missed study visits, which increase the time required to complete planned activities. Increasing the level of support to network sites will improve their ability to respond to these challenges and build network resilience. • Implementing a pilot study of remote visits. Since the original time of enrollment in nuMoM2b, about 30% of study participants have moved away from their network sites and are no longer located within a travel distance that allows them to attend in-person study visits. We propose to complete a pilot study of remote visits using a national network of mobile phlebotomists to evaluate remote visits as a strategic approach to maintaining engagement of these participants. • Sustaining infrastructure. To further improve participant engagement, the network will convene a Participant Engagement Committee and expand its online informational content. In addition, analytic support to network investigators will be expanded and recently collected data will be prepared for release to support timely reporting of results.", "keywords": [ "Address", "Ancillary Study", "Birth", "COVID-19 pandemic effects", "Cardiac health", "Cardiovascular Diseases", "Complex", "Data", "Data Analyses", "Enrollment", "Environment", "Gestational Diabetes", "Hypertension", "Incentives", "Infrastructure", "Investments", "Knowledge", "Monitor", "Mothers", "Network Infrastructure", "Nulliparity", "Outcome Study", "Participant", "Persons", "Phase", "Pilot Projects", "Positioning Attribute", "Pregnancy", "Pregnancy Outcome", "Premature Birth", "Recontacts", "Reporting", "Research", "Research Personnel", "Resources", "Risk Factors", "Running", "Site", "Small for Gestational Age Infant", "Surveys", "Time", "Travel", "Visit", "Woman", "Work", "adverse pregnancy outcome", "cardiovascular disorder risk", "cardiovascular health", "cardiovascular risk factor", "cohort", "follow-up", "improved", "maternal outcome", "patient engagement", "phenotypic data", "post-pandemic", "pregnancy disorder", "remote visit", "research study", "resilience", "support network" ], "approved": true } }, { "type": "Grant", "id": "12096", "attributes": { "award_id": "1DP2DK139544-01", "title": "Harnessing stem cells and synthetic gene circuits to repair glomerular injury", "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": 27955, "first_name": "ERIC WAYNE", "last_name": "Brunskill", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-09-01", "end_date": "2026-08-31", "award_amount": 1425761, "principal_investigator": { "id": 27956, "first_name": "Samira", "last_name": "Musah", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 246, "ror": "https://ror.org/00py81415", "name": "Duke University", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "More than 15% of U.S. adults suffer from chronic kidney disease (CKD) and end-stage kidney disease (ESKD), which costs more than $81 billion in annual Medicare expenditures (almost double the entire NIH budget). Worldwide, there are more patients with CKD (850 million) than diabetes (422 million), COVID-19 disease (584 million, August 2022), cancer (42 million), HIV/AIDS (36.7 million), and Parkinson’s disease (10 million). Compounding the overwhelming burden of CKD, there are no therapies proven to reverse or even halt CKD progression to ESKD. Currently, the only treatment options for ESKD are dialysis and kidney transplantation. Because survival on dialysis is limited (five to ten years), and access to organ transplantation is insufficient, many patients die while waiting for a kidney transplant. Innovative, high-risk, high-reward approaches, such as those proposed here, are needed to improve kidney disease outcomes. Progress in kidney medicine is limited by the lack of experimental models that can accurately recapitulate human physiological responses. Due to divergent developmental and functional molecular mechanisms, animal models often fail to faithfully replicate human kidney biology and drug responses. To address this significant limitation, research in my lab integrates technologies at the interface of human stem cell biology, organoids and organs-on-chips or tissue-chip microphysiological systems, and cellular reprogramming to help advance molecular-level understanding of kidney disease mechanisms and discover new therapeutic strategies. The most severe forms of kidney disease involve injury and irreversible damage to podocytes -- the terminally differentiated epithelial cells that encase glomerular capillaries and function together with the endothelium to regulate the removal of toxins and waste from the blood. Because podocytes do not replenish themselves naturally, damage to these cells (through drug side effects, viral infections, genetic and environmental risk factors) often progresses to CKD and organ failure. There is an urgent need to develop new tools to ease the social, economic, and clinical burden of kidney disease. This proposal offers strategies to repair and regenerate damaged kidney tissues by leveraging our stem cell-derived kidney models to uncover tunable molecular targets for cell-type-specific sensing and stimulation of tissue repair processes. We will extend these findings to engineer synthetic molecular circuits for autonomous repair of damaged podocytes and glomerular tissues to help restore the kidney’s blood filtration function. Consistent with the goals of the NIH Director’s New Innovator Award program, this proposal presents an unconventional approach to kidney biology and medicine by providing new avenues to repair and regenerate injured kidney tissues with biological relevance to humans. Accomplishing the goals of this study will represent a paradigm shift in research and clinical nephrology, providing opportunities to develop cell-autonomous strategies as new therapeutic modalities for kidney disease. Thus, the risks are justified by the magnitude of potential impact.", "keywords": [ "Address", "Adult", "Affect", "Animal Model", "Award", "Biological", "Biology", "Blood", "Budgets", "COVID-19", "Cells", "Chronic Kidney Failure", "Clinical", "Development", "Diabetes Mellitus", "Dialysis procedure", "Disease", "Disease Outcome", "Disease Progression", "Drug Side Effects", "Economics", "End stage renal failure", "Endothelium", "Engineering", "Environmental Risk Factor", "Epithelial Cells", "Excision", "Expenditure", "Experimental Models", "Glomerular Capillary", "Goals", "HIV/AIDS", "Human", "Injury", "Injury to Kidney", "Kidney", "Kidney Diseases", "Kidney Transplantation", "Knowledge", "Malignant Neoplasms", "Medicare", "Medicine", "Modality", "Modeling", "Molecular", "Molecular Target", "Natural regeneration", "Nephrology", "Organ Transplantation", "Organ failure", "Organoids", "Parkinson Disease", "Patients", "Pharmaceutical Preparations", "Physiological", "Population", "Process", "Public Health", "Research", "Research Project Grants", "Risk", "Synthetic Genes", "Technology", "Tissue Microarray", "Tissues", "Toxin", "United States National Institutes of Health", "Virus Diseases", "Work", "blood filtration", "cell injury", "cell type", "cost", "functional restoration", "genetic risk factor", "glomerular function", "high reward", "high risk", "human stem cells", "improved", "innovation", "microphysiology system", "novel therapeutic intervention", "novel therapeutics", "organ on a chip", "podocyte", "programs", "renal damage", "repaired", "response", "social", "stem cell biology", "stem cells", "tissue repair", "tool", "wasting" ], "approved": true } }, { "type": "Grant", "id": "12097", "attributes": { "award_id": "1S10OD032441-01", "title": "High-throughput Full Spectrum Cell Sorter", "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": 11602, "first_name": "GUANGHU", "last_name": "Wang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-09-01", "end_date": "2024-08-31", "award_amount": 752359, "principal_investigator": { "id": 27957, "first_name": "Vinh", "last_name": "Nguyen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 768, "ror": "https://ror.org/043mz5j54", "name": "University of California, San Francisco", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "/ Abstract The University of California, San Francisco (UCSF) Parnassus Flow Cytometry CoLab (PFCC) is requesting funds to purchase a next generation Full Spectrum Cell Sorter. We have chosen the ThermoFisher Invitrogen™ BigFoot full spectrum cell sorter as the instrument that best fulfills the needs of the unsatiable demand for high resolution multidimension single cell data by our highly esteemed NIH-funded faculty. The BigFoot will complement our current arsenal of high-parameter analysis equipment such as the Fluidigm CyTOFs, Cytek Aurora and Becton Dickson FACSymphony X50 while most importantly adding the highly desired cell sorting capability. The BigFoot maintains the standard cell processing workflow PFCC users are accustomed to in conventional bandpass-based flow cytometers as well with the Aurora Full Spectrum Analyzer at PFCC. We will take advantage of the BigFoot's versatility and powerful spectral technology by enabling collection of fluorescent emission profiles through most of the visible spectra to near-infrared ranges making the number of parameters that can be investigated on this instrument approaching 35 to 40. The UCSF community has rapidly taken advantage of the availability of the full spectrum technology for their high-parameter research, the BigFoot will uniquely add cell sorting capabilities to aid the quest to understand the complex dynamics of changing cell population in disease progression, therapy and remission. Our Researchers have extensive experience in high-parameter data acquisition/analysis using Mass Cytometry resulting in 29 high impact publications over the last 4 years at UCSF, with at least 5 more in review. However, full spectrum flow cytometry is becoming a formidable technology to multiparameter analysis using mass cytometry; transition to the Aurora full spectrum analyzer has gained momentum due to the ease of sample preparations, simplicity of use, high-throughput (50 times faster) and especially the cost savings compared to mass cytometry. Within 1 year of installation, a peer review paper using the Aurora has been published. The high-throughput capabilities coupled with minimal sample loss during preparation and acquisition makes the technology amenable to samples with extremely low cell numbers. Hence, sorting on high-parameter panels of over 25 fluorescent markers has been in demand; however, no cell sorter is currently available at UCSF that allows panels of more than 18 fluorescent markers to be used. The BigFoot will augment the Full Spectrum Flow Cytometry portfolio at UCSF and the ability to simultaneously sort cell populations of interest which will be foundational in providing further information on cellular dynamics during multi-drug clinical research. Due to the COVID-19 lockdown, and limited accessibility at PFCC an ever- increasing number of processed clinical samples has been accumulating adding to the already pre-existing bank of samples ready for high-parameter analysis and sorting. At PFCC, the BigFoot will be a user-controlled device available 24/7, with minimal setup or daily maintenance requirements, and it will be a major high-throughput and high-performance tool in the Core. The BigFoot will help alleviate the bottleneck of machine availability continually experienced by our cell sorting and high-parameter researchers at UCSF.", "keywords": [ "COVID-19", "California", "Cell Count", "Cell Separation", "Cells", "Clinical", "Clinical Research", "Collection", "Communities", "Complement", "Complex", "Cost Savings", "Coupled", "Cytometry", "Data", "Devices", "Dimensions", "Disease Progression", "Disease remission", "Equipment", "Faculty", "Flow Cytometry", "Funding", "Maintenance", "Paper", "Peer Review", "Performance", "Pharmaceutical Preparations", "Population", "Preparation", "Process", "Publications", "Publishing", "Research", "Research Personnel", "Resolution", "Sampling", "San Francisco", "Sorting", "Technology", "United States National Institutes of Health", "Universities", "data acquisition", "experience", "instrument", "interest", "next generation", "tool" ], "approved": true } }, { "type": "Grant", "id": "12098", "attributes": { "award_id": "7R01HD104708-04", "title": "The impact of COVID-19 related school closures on children's weight status", "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": "2023-09-01", "end_date": "2025-08-31", "award_amount": 742791, "principal_investigator": { "id": 25095, "first_name": "Punam", "last_name": "Ohri-Vachaspati", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1457, "ror": "", "name": "RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 912, "ror": "", "name": "ARIZONA STATE UNIVERSITY-TEMPE CAMPUS", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "The proposed project has two aims: 1) to assess the short and long-term impact of school closures mandated by the COVID-19 pandemic on students’ weight status, and 2) to examine the mitigating potential of child-targeted food assistance programs implemented during the closures. While there is some evidence that interruptions in school during summer recess result in weight gain among children in elementary grades, we have little basis for predicting the effects of a hiatus of unprecedented length, 6 months or more posed by the coronavirus. Pursuant to the Families First Coronavirus Response Act, the USDA extended the summer feeding program to deliver meals to children during the pandemic-related school closures; the USDA also authorized emergency food assistance through Pandemic Electronic Benefit Transfer cards for out-of-school children who qualify for school meals programs. While summer meals have been provided in the past to some students through summer meals programs, research establishing the adequacy of these programs in addressing weight status is lacking. To address the study aims, we will collect and analyze nurse-measured heights and weights data on children attending 120 public schools serving low-income children in New Jersey. Interrupted times series analyses will be applied to data collected prior to school closures, during four school years (SY) between 2013-14 and 2019-20 (approximately 30,000 students per year); and an additional two school years post-closure, one coinciding with the re-opening of schools (SY2020-21) and the other two years later (SY2022-23). For the same school years, we will incorporate, as covariates, annual data on school food and physical activity (PA) environments that have been found to be associated with weight status, as well as measures of the surrounding food and PA environment known to affect obesity rates. New data on operation and reach of the two federal, child-targeted food assistance programs in school catchment areas over the course of school closures will be collected to establish the mitigating potential of these programs. The proposed study will make a unique contribution to our understanding of the long-term effects of a key dimension of federal obesity policy affecting some thirty million predominantly low-income children – provision of free and reduced priced school meals. As such, the findings will be critical to our readiness to respond to future disasters and to our efforts to assure the adequacy of the food safety net.", "keywords": [ "Address", "Affect", "Authorization documentation", "Body mass index", "COVID-19", "COVID-19 impact", "COVID-19 pandemic", "Catchment Area", "Characteristics", "Child", "Cities", "Communities", "Coronavirus", "Data", "Data Collection", "Dietary Practices", "Dimensions", "Disasters", "Electronics", "Elements", "Eligibility Determination", "Emergency Situation", "Environment", "Family", "Food", "Food Assistance Programs", "Food Safety", "Funding", "Future", "Generations", "Health", "Height", "Interruption", "K-12 student", "Knowledge", "Length", "Literature", "Long-Term Effects", "Low income", "Measurement", "Measures", "Minority Groups", "New Jersey", "Nurses", "Nutritional", "Obesity", "Outcome", "Parents", "Physical activity", "Policies", "Population", "Prevalence", "Price", "Qualifying", "Readiness", "Research", "School Enrollments", "Schools", "Social isolation", "Structure", "Students", "Time", "Time Series Analysis", "Unhealthy Diet", "United States Department of Agriculture", "United States National Institutes of Health", "Weight", "Weight Gain", "Weights and Measures", "adult obesity", "authority", "burden of illness", "community-level factor", "coronavirus disease", "cost", "current pandemic", "delivered meals", "disorder prevention", "energy balance", "excessive weight gain", "experience", "falls", "feeding", "food insecurity", "improved", "lower income families", "obesity in children", "operation", "pandemic disease", "post-COVID-19", "programs", "protective effect", "psychological distress", "response", "safety net", "school closure", "school reopening", "sedentary", "trend analysis" ], "approved": true } }, { "type": "Grant", "id": "12099", "attributes": { "award_id": "1R01AA029828-01A1", "title": "Isolation and Loneliness Underlying Misuse and Increased Use of Alcohol as a function of Stress and Coping Efforts", "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)", "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 7108, "first_name": "Benjamin", "last_name": "Xu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-09-01", "end_date": "2026-08-31", "award_amount": 440880, "principal_investigator": { "id": 27958, "first_name": "MICHAEL", "last_name": "FENDRICH", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 27959, "first_name": "Crystal L", "last_name": "Park", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 27960, "first_name": "Beth S", "last_name": "Russell", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 933, "ror": "", "name": "UNIVERSITY OF CONNECTICUT STORRS", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true }, "abstract": "The IsoLation and Loneliness Underlying Misuse and INcreased use of Alcohol as a function of sTress and coping Efforts (ILLUMINATE) project will test adaptive/maladaptive coping as the mechanisms of action linking objective social isolation and subjective feelings of loneliness with alcohol use/misuse across the United States and stress as the moderator of these mediational effects in two separate studies. We will enhance our ability to test this model in our in-hand self-reported data from Study 1 on loneliness, stress, coping, and alcohol use during the COVID-19 pandemic when changing executive orders limited social interaction by dint of closures and reduced capacity. We collected data on a national sample of adults (N=1,550) during the first peak of US average COVID-19 daily infections in April, 2020 and at five additional points over the subsequent 12 months. Our surveys collected key self-report data on how people coped in the face of extensive social isolation, loneliness and concurrent pervasive chronic stress and alcohol consumption. We propose to add geographic location of the sample participants, which will allow us to create indicators of place-based social isolation and stressors (including an index of shelter-in-place, restrictions/closing of places of social interaction, and unemployment rates at each assessment point during COVID) and other stressors specific to a location such as economic and social vulnerabilities, housing instability, racial and ethnic segregation, and crime rates. Our first aim is to test adaptive (active coping, reappraisal) and maladaptive (avoidance) coping efforts as the behavioral mechanism driving alcohol use and high risk drinking over the course of the pandemic, testing the extent to which these coping processes mediate linkages between social isolation/loneliness and alcohol use/misuse, and our second aim is to determine whether cumulative-multilevel stress burden (individual and place-based) moderates the linkages between social isolation, loneliness, adaptive/maladaptive coping, and alcohol use/misuse. We will then collect prospective data for Study 2 in a nationally representative sample over 6 assessment points (N=1,550), again integrating objective geospatial indicators, to test the model of these linkages again (Aims 1 and 2) and to determine the extent to which our model of these relationships differed in a time of enforced isolation and communal stress from a more ordinary time period post-pandemic (Aim 3). Importantly, the repeated measures design in both samples allows us to model trajectories of alcohol use and misuse and the complex relationships among social isolation, loneliness, stress, and adaptive/maladaptive coping processes over time. Closely aligned with the NIH Funding Opportunity Announcement PAR-21-350, our assessment of the impact of isolation and loneliness in the COVID-19 pandemic and post-pandemic periods on alcohol use/misuse has considerable implications for developing prevention and intervention efforts calibrated for the post-pandemic environment.", "keywords": [ "Address", "Adult", "Alcohol abuse", "Alcohol consumption", "Anniversary", "Articulation", "Automobile Driving", "Behavioral Mechanisms", "COVID-19", "COVID-19 pandemic", "Calibration", "Chronic", "Chronic stress", "Complement", "Complex", "Coping Behavior", "Crime", "Data", "Data Reporting", "Economics", "Environment", "Feeling", "Funding Opportunities", "Future", "Geographic Locations", "Geography", "Hand", "Individual", "Infection", "Intervention", "Link", "Location", "Loneliness", "Measures", "Mediating", "Modeling", "National Institute on Alcohol Abuse and Alcoholism", "Participant", "Patient Self-Report", "Persons", "Play", "Prevention", "Process", "Prospective Studies", "Public Health", "Racial Segregation", "Recovery", "Research", "Role", "Sampling", "Services", "Social Interaction", "Social isolation", "Societies", "Specific qualifier value", "Stress", "Stress and Coping", "Surveys", "Testing", "Time", "Transact", "Unemployment", "United States", "United States National Institutes of Health", "Waxes", "alcohol misuse", "behavioral response", "commune", "coping", "coronavirus disease", "design", "emotion regulation", "ethnic segregation", "future pandemic", "high risk", "high risk drinking", "housing instability", "indexing", "new pandemic", "pandemic disease", "pandemic impact", "post-pandemic", "prospective", "social stressor", "social vulnerability", "stress management", "stressor", "substance misuse", "substance use", "trend" ], "approved": true } }, { "type": "Grant", "id": "12100", "attributes": { "award_id": "1T32AI177324-01", "title": "Immunology Research Training Grant", "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": 6125, "first_name": "Timothy A.", "last_name": "Gondre-Lewis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-09-01", "end_date": "2028-08-31", "award_amount": 185410, "principal_investigator": { "id": 27961, "first_name": "Eric", "last_name": "Pearlman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 971, "ror": "", "name": "UNIVERSITY OF CALIFORNIA-IRVINE", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Support is requested for four positions in a new training grant to continue and expand our successful Immunology Training Program at the University of California, Irvine (UCI). We have a total of 36 mentors that include junior, mid-level and senior training faculty comprising 14 women and 3 URM faculty. UCI immunology researchers are working on: a) host defense and vaccine development; b) tumor immunology and immunotherapy; c) Neurogenerative disease and microglia biology; d) chronic diseases and autoimmunity; and d) synthetic immunology. The pool of immunology graduate students comes primarily from the Cellular and Molecular Bology (CMB) intake program. In 2022, 101 students were accepted to CMB, including 39 URM (38.6%), and their mean GPA was 3.86 (which was similar to 2020 and 2021). There is substantial institutional support from the Office of Research and from the Graduate Division at UCI, which will provide full stipend and tuition for a 5th student. Our prior T32 from 2016-2021 supported 15 students, most of whom have graduated and are in research positions in industry or academia. Dr. Eric Pearlman is the Director of the UCI Institute for Immunology and was the Prinicipal Investigator of the previous T32 training grant. In the current submission, Dr. Pearlman will be PI/Director, and a new faculty recruit, Dr. Ivan Marazzi, will be co-Director. Dr. Pearlman has extensive experience in training graduate students and running T32 grants, and Dr. Marazzi has a very exciting and well funded research program in autoimmunity chronic neurodegenerative diseases and in molecular virology, including influenza and COVID-19. Given the outsanding training record of faculty and the quality of training grant elibile and URM students in the program, we fully anticipate that the UCI Immunology training program will continue to provide outstanding educational and career opportunities for the next generation of immunology researchers.", "keywords": [ "Grant", "Immunology", "Research Training" ], "approved": true } }, { "type": "Grant", "id": "12101", "attributes": { "award_id": "1R03HS029194-01A1", "title": "Telemedicine Preparation for Older Adults with Type 2 Diabetes", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "Agency for Healthcare Research and Quality (AHRQ)" ], "program_reference_codes": [], "program_officials": [ { "id": 27962, "first_name": "Matthew", "last_name": "Simpson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-09-01", "end_date": "2024-08-31", "award_amount": 99174, "principal_investigator": { "id": 27963, "first_name": "GOUTHAM", "last_name": "RAO", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 27964, "first_name": "Kelsey", "last_name": "Ufholz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1952, "ror": "https://ror.org/0130jk839", "name": "University Hospitals of Cleveland", "address": "", "city": "", "state": "OH", "zip": "", "country": "United States", "approved": true }, "abstract": "During the COVID-19 pandemic, many primary care appointments were converted to telemedicine. Telemedicine appointments may be especially beneficial for patients who are at high risk for COVID mortality, such as older adults, African Americans, and patients with type 2 diabetes. Numerous studies have found telemedicine can be an effective venue for diabetes care. Unfortunately, such interventions often assume that patients already have internet-capable devices, reliable internet service, and basic digital skills. Many patients, especially older patients and African Americans, lack the digital skills needed for telemedicine. Unfortunately, the net result is that those at highest risk for chronic diseases and their complications are often least able to take advantage of telemedicine. We propose a digital skills training intervention comprising essential basic skills to participate in a telemedicine appointment for older (age 50-70 years) mostly African American primary care patients with type 2 diabetes who already own an internet-capable device but have never had a telemedicine appointment. The intervention's goal is to prepare patients to have a successful telemedicine appointment. Patients will first be assessed for skills and then receive customized digital skills training through a community-based organization. Participants will also be scheduled to have a virtual diabetes management appointment within 6 months. For Specific Aim # 1, we will measure whether or not patients referred to the telemedicine training intervention complete a telemedicine appointment within 6 months. In Specific Aim # 2, we will interview patients and analyze interview transcripts to assess their experience with telemedicine. Patients who successfully completed a telemedicine appointment will be asked about their satisfaction with both the telemedicine training intervention and their telemedicine appointment. Patients who enrolled in the telemedicine training intervention but either did not complete a telemedicine appointment and/or did not complete telemedicine training will be asked about their barriers and how the telemedicine training intervention could better meet their needs.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "12102", "attributes": { "award_id": "1R01DC021826-01", "title": "Odorprint Based Disease Diagnostics", "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": 6520, "first_name": "SUSAN L.", "last_name": "SULLIVAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-09-01", "end_date": "2028-05-31", "award_amount": 931815, "principal_investigator": { "id": 27965, "first_name": "Dmitry", "last_name": "Rinberg", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2064, "ror": "", "name": "NEW YORK UNIVERSITY SCHOOL OF MEDICINE", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "It has long been observed that certain diseases may be diagnosed by smell alone. There is mounting evidence supporting these observations, showing that the metabolic changes brought about by disease, expressed in biospecimens such as sweat, breath, urine and blood, can be accurately identified through olfaction. This is the case not only for metabolic diseases such as diabetes, but most notably cancer, Alzheimer’s, Parkinson’s, and many types of infection, including COVID-19. But it remains a mystery how olfactory systems achieve this ability, especially when faced with the stark levels of variance in healthy populations, and the challenge of identifying a complex odor object against irrelevant background components. This project will investigate the neural mechanisms of odor-based disease diagnostics in the olfactory system of the mouse. Initial experiments will image the responses of olfactory sensory neurons in the olfactory bulb of the awake mouse. Using mouse models of disease, we will collect urine samples corresponding to both disease and healthy states, with controlled between-sample variability. We will image glomeruli, with each glomerulus aggregating the axons of sensory neurons expressing the same class of receptor. Linear and nonlinear dimensionality reduction methods will be developed to analyze the complex spatiotemporal patterns of glomerular activity elicited by disease and healthy control samples. From this analysis, the key features of neural activity that underpin disease detection will be identified, and related to specific glomeruli. Glomeruli of interest will then be used to isolate the volatile organic compounds of relevance, through gas chromatography-olfactometry in parallel with gas-chromatography/mass-spectrometry. Additionally, quantitative methods will be developed for the alignment of neural spaces across multiple mice, using a minimal number of odors. This will render odor features translatable across animals, allowing for the decoding of disease in mice without extensive training data collection. The developed experimental and computational pipeline will be then applied to detect and decipher odorprints of multiple human diseases. Understanding how olfactory systems detect disease has the potential to revolutionize medical diagnostics, particularly with respect to early and noninvasive screening. But it will also constitute progress in ‘cracking the olfactory code’, with our understanding of olfaction currently lagging behind vision and audition. From an evolutionary perspective, the natural stimuli of olfaction were the metabolic states of food, mates, peers, and predators, rarely the monomolecular odorants commonly used in olfaction research today. While this project has an applied aim of medical diagnostics, the path to that aim proceeds via a deep understanding of some of the fundamental, yet still mysterious, principles of olfaction.", "keywords": [ "Afferent Neurons", "Algorithms", "Alzheimer&apos", "s Disease", "Animals", "Area", "Axon", "Behavioral", "Biological", "Biological Assay", "Blood", "Brain", "COVID-19", "Calcium", "Canis familiaris", "Chemicals", "Chronic", "Code", "Cognitive", "Communication", "Complex", "Computing Methodologies", "Data Collection", "Detection", "Development", "Diabetes Mellitus", "Diagnosis", "Diagnostic", "Dimensions", "Disease", "Disease model", "Environment", "Ethology", "Food", "Future", "Gas Chromatography", "Image", "Implant", "Implanted Electrodes", "In Vitro", "Infection", "Intercept", "Malaria", "Malignant Neoplasms", "Malignant neoplasm of lung", "Mass Fragmentography", "Mass Spectrum Analysis", "Metabolic", "Metabolic Diseases", "Methods", "Modernization", "Monitor", "Mus", "Neuropil", "Neurosciences", "Noise", "Nose", "Odors", "Olfactory Pathways", "Optics", "Parkinson Disease", "Partner in relationship", "Pattern", "Pattern Recognition", "Physiology", "Population", "Preparation", "Process", "Public Health", "Rattus", "Research", "Resolution", "Sampling", "Signal Transduction", "Smell Perception", "Stimulus", "Techniques", "Technology", "Training", "Translating", "Tuberculosis", "Urine", "Vision", "Volatilization", "analytical method", "awake", "clinical diagnostics", "combinatorial", "computational pipelines", "detection method", "detection platform", "diagnostic assay", "diagnostic strategy", "disease diagnostic", "experimental study", "human disease", "imaging modality", "improved", "in vivo", "innovation", "insight", "interest", "miniaturize", "mouse model", "neural", "neuromechanism", "noninvasive diagnosis", "novel", "olfactory bulb", "olfactory receptor", "olfactory sensory neurons", "pandemic disease", "peer", "preservation", "public health emergency", "rapid diagnosis", "receptor", "remote diagnosis", "response", "scale up", "screening", "sensor", "spatiotemporal", "volatile organic compound" ], "approved": true } }, { "type": "Grant", "id": "12103", "attributes": { "award_id": "1R01HD110422-01A1", "title": "The Impact of COVID-19 on Parent and Child Well-Being in Early Childhood", "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": "2023-09-01", "end_date": "2027-06-30", "award_amount": 428914, "principal_investigator": { "id": 27966, "first_name": "Kierra Marie Pettit", "last_name": "Sattler", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 989, "ror": "", "name": "UNIVERSITY OF NORTH CAROLINA GREENSBORO", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "The COVID-19 pandemic has changed nearly every aspect of life. Research is beginning to document the disproportionate impact of the pandemic on parents and children; however, much of the research does not assess the multi-dimensional nature of the pandemic, evaluate long-term outcomes, or measure multiple indices of well-being. In response to NOT-MH-21-330 (“Social, Behavioral, and Economic Impact of COVID-19 in Underserved and Vulnerable Populations”), our team of experts in parenting, family well-being, risk and protective factors, and resilience, proposes to examine how parent and child well-being has been influenced by the pandemic. In addition, we propose to leverage and expand upon data from a prospective, longitudinal study (“Infant Growth and Development Study”, R01HD093662; R01HD110470 pending; PI: Leerkes) of 299 women and their infants, followed from pregnancy until children were 3.5 years old. We will recontact mothers when children are 4 years old and conduct a timeline follow-back interview with mothers and coparents about their COVID-related experiences to investigate how COVID has impacted parents’ and children’s well-being over time. Our three Specific Aims will examine: (1) how COVID-related experiences (both stressors and supports) impacted parent and child well-being across multiple dimensions during early childhood; (2) racial/ethnic and household income disparities in the impact of COVID-related stressors across multiple dimensions of well-being and potential protective factors (i.e., social support, supportive coparenting, neighborhood quality); and (3) how timing of COVID-related stressors and supports influences parent and child well-being. Parent outcomes will include social strain, positive parenting, economic strain, and physical and mental health. Child outcomes will include socioemotional adjustment, pre-academic skills, and health. Data will be assessed via parent report and interviewer observations. The proposal addresses critical knowledge gaps including: an exclusive focus on negative COVID experiences, a focus on single or narrow domains of parent and child well-being during the pandemic, and a lack of attention to heterogeneity in the impacts of the pandemic across families. Results will have important implications for understanding which parents and children need the most support in the current pandemic, as well as informing prevention and intervention programs aiming to promote parent and child well-being in future pandemics.", "keywords": [ "4 year old", "5 year old", "Academic skills", "Address", "Adverse effects", "Attention", "Back", "Behavioral", "Birth", "Buffers", "COVID-19", "COVID-19 impact", "COVID-19 pandemic", "Child", "Child Rearing", "Child Welfare", "Data", "Development", "Dimensions", "Distress", "Economics", "Ethnic Origin", "Family", "Family Relationship", "Future", "Growth and Development function", "Health", "Heterogeneity", "Hour", "Household", "Income", "Infant", "Influentials", "Interview", "Interviewer", "Investigation", "Knowledge", "Life", "Link", "Measures", "Mental Health", "Mothers", "National Institute of Child Health and Human Development", "Nature", "Neighborhoods", "Outcome", "Parents", "Personal Satisfaction", "Postpartum Period", "Poverty", "Pregnancy", "Prevention program", "Public Health", "Race", "Recontacts", "Reporting", "Research", "Resources", "Risk", "Risk Factors", "Schools", "Social Interaction", "Social support", "Special Supplemental Nutrition Program for Women Infants and Children", "Strategic Planning", "System", "Testing", "Time", "Underserved Population", "Vulnerable Populations", "Woman", "Work", "caregiving", "cohort", "coronavirus disease", "current pandemic", "early childhood", "economic disparity", "economic impact", "emotional adjustment", "experience", "family support", "future pandemic", "health disparity", "high school", "income disparities", "indexing", "infancy", "interest", "intervention program", "longitudinal prospective study", "maltreatment", "pandemic disease", "pandemic impact", "parental influence", "physical conditioning", "prenatal", "programs", "protective factors", "racial disparity", "resilience", "response", "satisfaction", "social", "stressor", "timeline" ], "approved": true } }, { "type": "Grant", "id": "12104", "attributes": { "award_id": "1R01AG080137-01A1", "title": "Mechanisms underlying COVID-19 induced Neurocognitive Dysfunction", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Aging (NIA)" ], "program_reference_codes": [], "program_officials": [ { "id": 26177, "first_name": "Maja", "last_name": "Maric", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-09-01", "end_date": "2028-05-31", "award_amount": 639561, "principal_investigator": { "id": 27967, "first_name": "PAUL E", "last_name": "SCHULZ", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 788, "ror": "", "name": "UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, which causes Coronavirus Disease 2019 (COVID-19), has become a global health crisis. To date, more than 6.5 million deaths from COVID-19 have been reported worldwide. Amongst survivors, neurocognitive dysfunction and neuropsychiatric disorders, such as anxiety and depression, are increasingly recognized and can persist for months, or even years. This enduring neurocognitive and neuropsychiatric distress obligates us to address critical questions about their duration, risk factors, and underlying mechanisms. The goal of this project is to test the hypothesis that SARS-CoV-2 promotes cognitive decline in subjects who were previously normal via stimulating inflammatory pathways, with the greatest risk being in older adults, females, and those from underrepresented groups. We propose to utilize patients in our biorepository, who were hospitalized with SARS-CoV-2 infection, to achieve three Specific Aims: (1) to determine the type and duration of neurocognitive dysfunction present; (2) to ascertain risk factors for ongoing cognitive decline, including sex, age, race/ethnicity and comorbidities; and, (3) to verify that persistent neuroinflammation underlies cognitive decline. To achieve these Aims, our team has established a well-curated, highly diverse biorepository of more than 650 patients hospitalized with COVID-19. About 15% have succumbed to COVID-related illnesses; however, 37% have continued to return for testing at 3-6 and 12-months post hospitalization. Preliminary data demonstrates that 30% of subjects returning at one year show progressive cognitive decline, which is associated with elevated markers of inflammation and neuronal stress. Here we propose to follow these patients and perform detailed cognitive testing and assess biomarkers from their blood- serum, spinal fluid, and imaging to explicate the type and time course of cognitive changes present, the risk factors associated with cognitive dysfunction, and whether inflammation-induced neuronal distress underlies progressive neurocognitive impairment. This proposal is innovative because we are evaluating the long-term neurocognitive consequences of severe COVID-19 from a cohort that we have followed since the onset of the pandemic, which has provided preliminary data supporting our Aims. Moreover, we have brought together investigators with expertise in cognitive assessment and treatment, and basic and translational research, all in the setting of a strong institutional infrastructure. Our work is significant because understanding the role of persistent neuroinflammation in COVID-19-induced cognitive dysfunction will greatly enhance our ability to rationally test immunosuppressants for this very debilitating disorder.", "keywords": [ "2019-nCoV", "Address", "Age", "Anatomy", "Anti-Inflammatory Agents", "Anxiety", "Attention", "Basic Science", "Biological Markers", "Blood", "COVID-19", "COVID-19 impact", "COVID-19 mortality", "Cerebrospinal Fluid", "Characteristics", "Cognitive", "Data", "Development", "Disease", "Distress", "Elderly", "Ethnic Origin", "Exhibits", "Female", "Functional disorder", "Goals", "Hospitalization", "Hospitals", "Image", "Immunoglobulin Therapy", "Immunosuppressive Agents", "Impaired cognition", "Infection", "Inflammation", "Inflammatory", "Infrastructure", "Institution", "Intervention", "Intravenous Immunoglobulins", "Lead", "Learning", "Link", "Medical", "Medical Records", "Memory", "Mental Depression", "Mood Disorders", "Neurocognitive", "Neurocognitive Deficit", "Neurologic", "Neurologic Symptoms", "Neurons", "Neuropsychological Tests", "Participant", "Pathway interactions", "Patients", "Peripheral", "Persons", "Plasma Exchange", "Positron-Emission Tomography", "Probability", "Quality of life", "Race", "Reporting", "Research Personnel", "Risk", "Risk Factors", "Role", "SARS-CoV-2 infection", "Screening procedure", "Serum", "Stress", "Stroke", "Survivors", "Testing", "Thick", "Time", "Translational Research", "Underrepresented Populations", "Work", "biobank", "brain size", "cognitive change", "cognitive testing", "cohort", "comorbidity", "comparison control", "coronavirus disease", "digital", "executive function", "functional disability", "global health", "gray matter", "infection rate", "inflammatory marker", "innovation", "neuroinflammation", "neuropsychiatric disorder", "neuropsychiatry", "older patient", "pandemic disease", "participant enrollment", "post-COVID-19", "processing speed", "prospective", "screening", "severe COVID-19", "sex", "tau-1", "therapy design", "verbal" ], "approved": true } } ], "meta": { "pagination": { "page": 1383, "pages": 1397, "count": 13961 } } }