Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1391&sort=-abstract
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-abstract", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1419&sort=-abstract", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1392&sort=-abstract", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1390&sort=-abstract" }, "data": [ { "type": "Grant", "id": "10826", "attributes": { "award_id": "1R13DC020893-01", "title": "American Academy of Audiology's Academy Research Conference (ARC) 2023-2025", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Deafness and Other Communication Disorders (NIDCD)" ], "program_reference_codes": [], "program_officials": [ { "id": 23321, "first_name": "Kelly Anne", "last_name": "King", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-01-01", "end_date": "2025-12-31", "award_amount": 30655, "principal_investigator": { "id": 26913, "first_name": "Jamie M", "last_name": "Bogle", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 26914, "first_name": "Antony", "last_name": "Joseph", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1971, "ror": "", "name": "AMERICAN ACADEMY OF AUDIOLOGY, INC.", "address": "", "city": "", "state": "VA", "zip": "", "country": "United States", "approved": true }, "abstract": "/ ABSTRACT The American Academy of Audiology’s Academy Research Conference (ARC) 2023-2025 will be the 15th-17th meetings of this annual translational research conference. ARC is designed for both clinicians and researchers to take a “deep-dive” together into a clinically important research area. The SPECIFIC AIMS of this conference series are to (1) bridge the gap between clinical practice and academic research, (2) promote interactions between scientists and clinicians that foster collaboration and mentoring, (3) facilitate mentoring and support of future clinicians and researchers, (4) support expansion and diversity in research, and (5) disseminate research related to hearing and balance. ARC has been highly successful and adaptive to recent limitations for in-person learning. During the Covid-19 pandemic, ARC 2020 and ARC 2021 were offered virtually, with 281 and 230 participants attending, respectively, all while maintaining access to high quality researchers. Due to the positive response to these virtual meetings, ARC 2023-2025 will be offered as virtual-only events. The fields of audiology and hearing science are advancing quickly. We propose this CONFERENCE PLAN to address methods of managing the most common auditory conditions – hearing loss and tinnitus. Novel therapeutic interventions are on the horizon and may provide additional management options for treating sensorineural hearing loss (ARC 2023). Further, expanding criteria for implantable devices will offer various options for those with less severe hearing loss, previously only managed with traditional hearing aids (ARC 2024). Tinnitus remains a considerable concern, especially for patients with hearing loss, and often requires a multidisciplinary care team to appropriately manage (ARC 2025). Each of these conferences will provide attendees with an expanded view of current management options as well as information on how to prepare for future interventions. The ARC conference series reflects the Academy’s commitment to promoting the accessibility and participation of underrepresented individuals in cutting-edge science. ARC’s DIVERSITY PLAN incorporates (1) focused direction on identifying diverse speakers, (2) required diversity, equity, inclusion, and belonging (DEIB) learning objective for all presentations, (3) registration stipends for those identified as belonging to an underrepresented group (NOT-OD-20-031), (4) mentorship opportunities, and (5) childcare stipends.", "keywords": [ "Academy", "Address", "American", "Applications Grants", "Area", "Audiology", "Auditory", "COVID-19 pandemic", "Caring", "Child Care", "Chronic", "Clinical", "Collaborations", "Communities", "Development", "Diagnosis", "Education", "Educational Models", "Equilibrium", "Event", "Fostering", "Funding", "Future", "Hearing", "Hearing Aids", "Individual", "International", "Intervention", "Labyrinth", "Learning", "Mentors", "Mentorship", "Methods", "Nature", "Oral", "Participant", "Patient Care", "Patients", "Persons", "Postdoctoral Fellow", "Research", "Research Activity", "Research Personnel", "Science", "Scientist", "Sensorineural Hearing Loss", "Series", "Students", "Therapeutic", "Tinnitus", "Translational Research", "Underrepresented Populations", "United States National Institutes of Health", "Work", "career", "clinical practice", "clinically significant", "design", "equity diversity and inclusion", "graduate student", "hearing impairment", "implantable device", "improved", "innovation", "meetings", "multidisciplinary", "next generation", "novel therapeutic intervention", "patient engagement", "posters", "programs", "response", "symposium", "translational engagement", "virtual" ], "approved": true } }, { "type": "Grant", "id": "7877", "attributes": { "award_id": "1R21DC019832-01A1", "title": "Ace2 in the healthy and inflamed taste system", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Deafness and Other Communication Disorders (NIDCD)" ], "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": "2022-03-01", "end_date": "2024-02-28", "award_amount": 231000, "principal_investigator": { "id": 23723, "first_name": "Lin", "last_name": "Gan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1542, "ror": "https://ror.org/012mef835", "name": "Augusta University", "address": "", "city": "", "state": "GA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 23724, "first_name": "LYNNETTE Marie", "last_name": "MCCLUSKEY", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1542, "ror": "https://ror.org/012mef835", "name": "Augusta University", "address": "", "city": "", "state": "GA", "zip": "", "country": "United States", "approved": true }, "abstract": "/ ABSTRACT Taste deficits are prevalent in people infected with SARS-CoV-2, the virus responsible for the global COVID-19 pandemic. The loss of taste sensation negatively affects nutrition and quality of life and in some patients this deficit is long-lasting. The biological basis for taste loss due to SARS-CoV-2 is largely unknown. Our preliminary results demonstrate that the ACE2 receptor and TMPRSS2 which together mediate SARS-CoV-2 host cell entry are expressed in taste buds indicating their potential for viral infection. The function of taste cell ACE2, also a member of the renin-angiotensin system that regulates fluid balance, is unknown. We have developed three novel genetic mouse strains to overcome the limitations of currently available mouse models. In aim 1 we map ACE2 reporter expression to determine which taste receptor cell populations and pathways are potential targets of SARS-CoV-2. In aim 2 we test how lingual epithelium-specific ACE2 contributes to taste receptor cell dynamics and neurophysiological taste responses under baseline and inflammatory conditions. We will also test how taste function is affected by human SARS-CoV-2 spike protein in a humanized ACE2 knock-in mouse. Our hypothesis predicts that taste buds are SARS-CoV-2 targets, that taste ACE2 contributes to taste function and is protective during inflammation, and that SARS-CoV-2 spike protein will exacerbate damage in taste buds and depress neural taste responses under inflammatory conditions. This R21 Exploratory / Developmental grant application addresses the urgent need for fundamental insights to mechanisms underlying taste dysregulation in people with COVID-19.", "keywords": [ "2019-nCoV", "ACE2", "Address", "Affect", "Aldosterone", "Angiotensin II", "Animal Model", "Anosmia", "Anterior", "Anti-Inflammatory Agents", "Antibodies", "Applications Grants", "Automobile Driving", "Behavior", "Binding", "Biological", "Blood Pressure", "Blood Vessels", "COVID-19", "COVID-19 pandemic", "COVID-19 patient", "Cathepsins", "Cell Count", "Cells", "Chimeric Proteins", "Coughing", "Development", "Disease", "Down-Regulation", "Epidemic", "Epithelial", "Esthesia", "Exploratory/Developmental Grant", "Fatigue", "Fever", "Fluid Balance", "Functional disorder", "Future", "Genetic", "Hormones", "Human", "Immune response", "Infection", "Inflammation", "Inflammatory", "Knock-in", "Knock-in Mouse", "Knock-out", "Knockout Mice", "Knowledge", "Lipopolysaccharides", "LoxP-flanked allele", "Maps", "Measures", "Mediating", "Modeling", "Mouse Strains", "Mus", "Nerve", "Neural Pathways", "Neuroglia", "Neurons", "Organ", "Pathogenesis", "Pathway interactions", "Patients", "Peptide Hydrolases", "Peripheral", "Persons", "Population", "Proteins", "Quality of life", "Receptor Cell", "Renin-Angiotensin System", "Reporter", "Research", "Respiratory distress", "Role", "SARS coronavirus", "Severe Acute Respiratory Syndrome", "Smell Perception", "Stimulus", "Structure", "TMPRSS2 gene", "Tactile", "Taste Buds", "Taste Perception", "Testing", "Tropism", "Viral", "Virus", "Virus Diseases", "afferent nerve", "base", "behavioral response", "cell type", "chorda tympani", "common symptom", "insight", "lung injury", "member", "mouse model", "negative affect", "nerve injury", "neurophysiology", "novel", "nutrition", "patient subsets", "receptor", "receptor binding", "relating to nervous system", "response", "taste system" ], "approved": true } }, { "type": "Grant", "id": "12189", "attributes": { "award_id": "1R21AI171923-01A1", "title": "Deciphering the Molecular Mechanisms of Response to COVID Vaccine in Kidney Transplant Recipients", "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": 23197, "first_name": "MARK ANDREW", "last_name": "ROBIEN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-08-21", "end_date": "2025-07-31", "award_amount": 255459, "principal_investigator": { "id": 28057, "first_name": "Paolo", "last_name": "Cravedi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 28058, "first_name": "JONATHAN S", "last_name": "MALTZMAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1785, "ror": "", "name": "PALO ALTO VETERANS INSTIT FOR RESEARCH", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "/ ABSTRACT Solid organ transplant recipients have increased morbidity and mortality in response to infection with SARS- CoV-2, the virus responsible for COVID19. While the general population has greatly benefited from the rapid development of several vaccines that are protective against the development of severe infection, the transplant recipient population has sub-optimal responses to similar vaccination regimens. Herein, we build on our published and preliminary data on the cellular and serological responses to SARS-CoV-2 mRNA vaccination in both liver and kidney transplant recipients. Liver transplant recipients are significantly more likely to respond to a two-dose regimen with both viral specific T cells and seroconversion when compared with kidney transplant recipients. Interestingly, although both seroconversion efficiency and T cell activation are affected by the levels of immunosuppression, the organ transplanted (liver versus kidney) has an independent effect on the humoral and cellular responses. However, an in depth, mechanistic evaluation of these adaptive immune responses is lacking. We hypothesize that there are intrinsic differences in immune function, irrespective of the degree of immunosuppression, between liver and kidney transplant recipients. This proposal builds on an already productive collaboration between the laboratories of Jonathan Maltzman and Paolo Cravedi. The overall goal of this work is to use cryopreserved samples to mechanistically understand the features that characterize effective immune response to SARS-CoV-2 vaccination in kidney transplant recipients. To address this goal, we propose the following specific aims: Aim 1: Assess the differences in T cell phenotype and function between solid organ transplant (SOT) recipients that are SARS-CoV-2 vaccine responders versus non-responders; Aim 2: Determine differences in innate and adaptive immune cell populations between vaccine responders versus non-responders by measuring chromatin accessibility and gene expression. This project builds upon the productive collaboration between the Maltzman and Cravedi laboratories and leverages their expertise. Success of this high-risk proposal has the potential to comprehensively delineate the immune responses in both kidney and liver transplant recipients upon SARS- CoV-2 vaccination, a point of critical importance to define biomarkers of response and envision strategies to improve response (high reward).", "keywords": [ "2019-nCoV", "ATAC-seq", "Address", "Affect", "Antibody Response", "B-Lymphocytes", "COVID-19", "COVID-19 vaccination", "COVID-19 vaccine", "Cells", "Chromatin", "Collaborations", "Cryopreservation", "Data", "Development", "Dose", "Epigenetic Process", "Evaluation", "Gene Expression", "General Population", "Genetic Transcription", "Goals", "Human", "Immune", "Immune response", "Immunosuppression", "Individual", "Infection", "Innate Immune Response", "Kidney", "Kidney Transplantation", "Laboratories", "Link", "Liver", "Measures", "Molecular", "Morbidity - disease rate", "Organ", "Organ Transplantation", "Outcome", "Patients", "Peripheral Blood Mononuclear Cell", "Phenotype", "Population", "Productivity", "Publishing", "RNA vaccination", "RNA vaccine", "Recording of previous events", "Regimen", "SARS-CoV-2 spike protein", "Sampling", "Serology", "Solid", "T cell clonality", "T cell response", "T-Cell Activation", "T-Lymphocyte", "Technology", "Testing", "Transplant Recipients", "Vaccination", "Vaccines", "Viral", "Virus", "Work", "adaptive immune response", "booster vaccine", "cohort", "coronavirus disease", "experimental study", "high reward", "high risk", "immune function", "improved", "liver transplantation", "mortality", "organ transplant recipient", "post SARS-CoV-2 infection", "responders and non-responders", "response", "response biomarker", "seroconversion", "single nucleus RNA-sequencing", "success" ], "approved": true } }, { "type": "Grant", "id": "11580", "attributes": { "award_id": "5R21MH127284-02", "title": "The cognitive and neural mechanisms supporting naturalistic dyadic social interactions", "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": 22777, "first_name": "Andrew Lee", "last_name": "Breeden", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-05-09", "end_date": "2024-04-30", "award_amount": 202500, "principal_investigator": { "id": 23854, "first_name": "Diana", "last_name": "Tamir", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 191, "ror": "https://ror.org/00hx57361", "name": "Princeton University", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 191, "ror": "https://ror.org/00hx57361", "name": "Princeton University", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true }, "abstract": "/ Abstract Social interactions are key to well-being. When successful, interactions engender social bonds that reduce stress, loneliness, and depression, and that support longevity. This proposal aims to identify the mechanisms by which social interactions produce social connection. Two studies use state-of-the-art tools in computer vision, natural language processing, and fMRI hyperscanning–where two people are scanned at the same time–to peer into the minds of people as they interact in real time. This project focuses on naturalistic interactions. To date, neuroscience research into social interaction has relied primarily on paradigms that do not actually allow people to interact. The current proposal offers a shift from these conventional paradigms. We will leverage rich data from real-time conversations to investigate two conversation features—social content and positive affect—that may effectively support social connection. We test the direct relation between these conversation features and social connection in Aim 1. Aim 2 will then test the hypothesis that these features promote connection by helping conversation partners to get ‘on the same page’—to align their thoughts and feelings. We will measure alignment using fMRI hyperscanning. Study 1 will use a unique virtual video conversation platform that connects two remote communicators. Dyads will freely converse while we record real-time acoustic, visual, and language data, from which our analysis tools can automatically extract both conversation features. Participants will also complete a post-conversation survey to assess the primary outcome: social connection. We will use factor analysis and cross-validation to optimally cluster our multimodal features and to optimize our model of how conversation features induce alignment, which, in turn, supports social connection. Study 2 aims to replicate this behavioral model, and further, to identify the underlying mechanism that links conversation features to social connection using neuroimaging. If conversation brings about social connection because it induces alignment, then we should see that socially connected dyads experience neural alignment within networks associated with both content and affect: the default and limbic networks, respectively. Our unique research site, with two MRI scanners in adjacent rooms, allows us to use fMRI hyperscanning and high-resolution imaging of cortical and subcortical neural networks, a resolution far beyond what is possible with methods typically employed for studying naturalistic interactions. The proposed investigation into the real-time dynamics of interactions will assess how communication syncs minds, and how this alignment supports social connection. This work will reveal the basic ingredients of successful interactions. In doing so, it offers promising future directions for alleviating the devastating effects of social disconnection, as felt by healthy populations during moments of stress or social distancing during the Covid-19 pandemic and by vulnerable populations with depression, social anxiety, or autism.", "keywords": [ "Acoustics", "Affect", "Behavioral Model", "COVID-19 pandemic", "Cognitive", "Communication", "Computer Vision Systems", "Data", "Electroencephalography", "Empathy", "Facial Expression", "Factor Analysis", "Feeling", "Free Will", "Functional Magnetic Resonance Imaging", "Future", "Heart Diseases", "Individual", "Intervention", "Investigation", "Knowledge", "Language", "Linguistics", "Link", "Loneliness", "Longevity", "Magnetic Resonance Imaging", "Malignant Neoplasms", "Measures", "Mediating", "Mental Depression", "Methods", "Mind", "Modeling", "Motivation", "Natural Language Processing", "Neurosciences Research", "Participant", "Personal Satisfaction", "Persons", "Population", "Populations at Risk", "Process", "Research", "Research Personnel", "Resolution", "Route", "Scanning", "Self Disclosure", "Site", "Sleep", "Social Distance", "Social Interaction", "Social outcome", "Social support", "Stimulus", "Stress", "Surveys", "Testing", "Thinking", "Time", "Validation", "Visual", "Vulnerable Populations", "Work", "autism spectrum disorder", "experience", "functional near infrared spectroscopy", "high resolution imaging", "mortality", "multimodality", "neural", "neural network", "neuroimaging", "neuromechanism", "peer", "primary outcome", "psychologic", "social", "social anxiety", "social attachment", "social communication", "stress reduction", "tool", "virtual" ], "approved": true } }, { "type": "Grant", "id": "7968", "attributes": { "award_id": "1R21MH127284-01A1", "title": "The cognitive and neural mechanisms supporting naturalistic dyadic social interactions", "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": 22777, "first_name": "Andrew Lee", "last_name": "Breeden", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-05-09", "end_date": "2024-04-30", "award_amount": 243000, "principal_investigator": { "id": 23854, "first_name": "Diana", "last_name": "Tamir", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 191, "ror": "https://ror.org/00hx57361", "name": "Princeton University", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 191, "ror": "https://ror.org/00hx57361", "name": "Princeton University", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true }, "abstract": "/ Abstract Social interactions are key to well-being. When successful, interactions engender social bonds that reduce stress, loneliness, and depression, and that support longevity. This proposal aims to identify the mechanisms by which social interactions produce social connection. Two studies use state-of-the-art tools in computer vision, natural language processing, and fMRI hyperscanning–where two people are scanned at the same time–to peer into the minds of people as they interact in real time. This project focuses on naturalistic interactions. To date, neuroscience research into social interaction has relied primarily on paradigms that do not actually allow people to interact. The current proposal offers a shift from these conventional paradigms. We will leverage rich data from real-time conversations to investigate two conversation features—social content and positive affect—that may effectively support social connection. We test the direct relation between these conversation features and social connection in Aim 1. Aim 2 will then test the hypothesis that these features promote connection by helping conversation partners to get ‘on the same page’—to align their thoughts and feelings. We will measure alignment using fMRI hyperscanning. Study 1 will use a unique virtual video conversation platform that connects two remote communicators. Dyads will freely converse while we record real-time acoustic, visual, and language data, from which our analysis tools can automatically extract both conversation features. Participants will also complete a post-conversation survey to assess the primary outcome: social connection. We will use factor analysis and cross-validation to optimally cluster our multimodal features and to optimize our model of how conversation features induce alignment, which, in turn, supports social connection. Study 2 aims to replicate this behavioral model, and further, to identify the underlying mechanism that links conversation features to social connection using neuroimaging. If conversation brings about social connection because it induces alignment, then we should see that socially connected dyads experience neural alignment within networks associated with both content and affect: the default and limbic networks, respectively. Our unique research site, with two MRI scanners in adjacent rooms, allows us to use fMRI hyperscanning and high-resolution imaging of cortical and subcortical neural networks, a resolution far beyond what is possible with methods typically employed for studying naturalistic interactions. The proposed investigation into the real-time dynamics of interactions will assess how communication syncs minds, and how this alignment supports social connection. This work will reveal the basic ingredients of successful interactions. In doing so, it offers promising future directions for alleviating the devastating effects of social disconnection, as felt by healthy populations during moments of stress or social distancing during the Covid-19 pandemic and by vulnerable populations with depression, social anxiety, or autism.", "keywords": [ "Acoustics", "Affect", "Behavioral Model", "COVID-19 pandemic", "Cognitive", "Communication", "Computer Vision Systems", "Data", "Discourse analysis", "Electroencephalography", "Empathy", "Facial Expression", "Factor Analysis", "Feeling", "Free Will", "Functional Magnetic Resonance Imaging", "Future", "Heart Diseases", "Individual", "Intervention", "Investigation", "Knowledge", "Language", "Linguistics", "Link", "Loneliness", "Longevity", "Magnetic Resonance Imaging", "Malignant Neoplasms", "Measures", "Mediating", "Mental Depression", "Methods", "Mind", "Modeling", "Motivation", "Natural Language Processing", "Neurosciences Research", "Participant", "Personal Satisfaction", "Persons", "Population", "Populations at Risk", "Process", "Research", "Research Personnel", "Resolution", "Route", "Scanning", "Self Disclosure", "Side", "Site", "Sleep", "Social Distance", "Social Interaction", "Social outcome", "Social support", "Stimulus", "Stress", "Surveys", "Testing", "Thinking", "Time", "Validation", "Visual", "Vulnerable Populations", "Work", "autism spectrum disorder", "experience", "high resolution imaging", "mortality", "multimodality", "neural network", "neuroimaging", "neuromechanism", "peer", "primary outcome", "psychologic", "relating to nervous system", "social", "social anxiety", "social attachment", "social communication", "tool", "virtual" ], "approved": true } }, { "type": "Grant", "id": "5404", "attributes": { "award_id": "1R01MH128955-01", "title": "Social connections, risk for COVID-era psychiatric and substance use disorders, and HIV control", "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": 18887, "first_name": "Gregory", "last_name": "Greenwood", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-01-01", "end_date": "2026-10-31", "award_amount": 689510, "principal_investigator": { "id": 18888, "first_name": "Jacquelyn Leigh", "last_name": "Meyers", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 18889, "first_name": "TRACEY ELIZABETH", "last_name": "WILSON", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 815, "ror": "https://ror.org/0041qmd21", "name": "SUNY Downstate Medical Center", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "/ ABSTRACT Social connections are critical to human well-being, and people lacking in these connections (social isolation) or who perceive that they are lacking these connections (loneliness) have lower self-management of chronic disease, are more likely to suffer from substance abuse disorders and depression, and are at higher risk for premature mortality. People living with HIV report a significant burden of loneliness and other indicators of impaired social connectedness; these impaired social connections have been linked to reduced HIV adherence and quality of life. The significant strain imposed on social relationships by COVID-19 restrictions and by losses of family, friends, and community has brought urgency to the issue of social connections, particularly for vulnerable populations such as those living with HIV infection. COVID-19 has also brought increased calls for implementation of interventions focused on social connections, which in turn has highlighted a critical lack of effective interventions in this area, rooted in evidence gaps regarding relationships between social connection and health outcomes in diverse populations, in understanding of the unique and synergistic influences of conceptually distinct dimensions of social connection on health over time, and on modifiable pathways linking these connections to health outcomes. Applying a longitudinal, mixed-methods, and community-engaged framework within a nationally-representative and well-characterized HIV cohort study, the MACS/WIHS Combined Cohort Study (MWCCS), this project aims to: (Aim 1) characterize longitudinal and multidimensional patterns of social connection both prior to and during the COVID-era, and identify social, behavioral and genomic predictors of these patterns; (Aim 2) identify relationships between patterns of social connection and HIV outcomes, including identification of mechanistic pathways via substance use disorders and depression, and (Aim 3) assess multilevel mediators and moderators of relationships between social connection and temporally associated outcomes including area-level socio-geographic indicators of poverty and population density. This work utilizes the extensive platform of the MWCCS, including annual laboratory evaluation of HIV disease indices, validated medication adherence measures, genome-wide data that will be utilized to construct polygenic risk scores, annually updated geocoded data, and diagnostic assessments of substance use disorders and depression (N=2000). To this, we will add an annual battery of social connection measures, including social and emotional loneliness, social isolation, and social integration at selected MWCCS sites (N=735), coupled with nested, longitudinal qualitative interviews (N=40). This multidimensional, longitudinal and multilevel analysis will significantly extend previous research in this area, and findings from this project can be utilized to identify actionable targets to support the design of effective interventions in this important area and high priority population.", "keywords": [ "Address", "Adherence", "African American", "Age", "Area", "Buffers", "COVID-19", "Cessation of life", "Chronic Disease", "Clinical", "Cohort Studies", "Communities", "Consensus", "Coupled", "Data", "Data Collection", "Diagnostic", "Dimensions", "Disease", "Education", "Educational Background", "Emotional", "Ethnic Origin", "Ethnic group", "Evaluation", "Family", "Friends", "Gender", "Geography", "Goals", "HIV", "HIV Infections", "Health", "Human", "Impairment", "Income", "Insurance Coverage", "Intervention", "Interview", "Knowledge", "Laboratories", "Link", "Literature", "Loneliness", "Measures", "Mediating", "Mediator of activation protein", "Mental Depression", "Mental Health", "Meta-Analysis", "Methods", "Modeling", "Neighborhoods", "Outcome", "Pathway interactions", "Pattern", "Perception", "Personal Satisfaction", "Persons", "Plant Roots", "Population", "Population Density", "Population Heterogeneity", "Poverty", "Premature Mortality", "Prevention", "Public Health", "Quality of life", "Race", "Recording of previous events", "Reporting", "Research", "Risk", "Science", "Self Management", "Site", "Social Interaction", "Social isolation", "Standardization", "Strategic Planning", "Substance Use Disorder", "Substance abuse problem", "Surveys", "Time", "United States National Institutes of Health", "Update", "Viral Load result", "Vulnerable Populations", "Woman", "Work", "behavioral genomics", "biopsychosocial", "coronavirus disease", "design", "effective intervention", "genome-wide", "genomic predictors", "high risk", "implementation intervention", "indexing", "lens", "longitudinal analysis", "longitudinal design", "medication compliance", "mortality", "multilevel analysis", "polygenic risk score", "primary outcome", "racial and ethnic", "secondary outcome", "social", "social integration", "social relationships", "socioeconomics", "stressor" ], "approved": true } }, { "type": "Grant", "id": "6658", "attributes": { "award_id": "5R44GM140797-02", "title": "An Ultrafast Electron Counting Camera for 100 kV Cryo-EM", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 22317, "first_name": "MARY ANN ANN", "last_name": "WU", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-02-01", "end_date": "2023-01-31", "award_amount": 639342, "principal_investigator": { "id": 22318, "first_name": "Benjamin Eugene", "last_name": "Bammes", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1485, "ror": "", "name": "DIRECT ELECTRON, LP", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1485, "ror": "", "name": "DIRECT ELECTRON, LP", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "/ Abstract Single-particle electron cryo-microscopy (cryo-EM) has become an essential tool for high-resolution structural studies, both for basic biological and human health research as well as for drug discovery. Currently, one of the most pressing challenges for this powerful technique is satisfying the high and ever-growing demand for cryo-EM. This is especially challenging given the extremely high capital investment and running costs for 300 kV cryo-EM equipment. With demand for cryo-EM far exceeding capacity, there is a growing push for “democratization” of cryo-EM by developing cost-effective and highly-accessible equipment based on 100 kV TEM columns. Although the feasibility of high-resolution cryo-EM at 100 kV has been recently demonstrated (Naydenova, et al., 2019), this idea is currently hindered by the lack of suitable high-performance detectors at this low energy. Current direct detection cameras are optimized for operation for 200 and 300 kV. The performance of these cameras at 100 kV is remarkably poor, with very low resolution and very high noise due to backscattering. To address this problem, we propose to develop a new ultra-fast electron counting direct detection camera optimized for 100 kV. The proposed detector will be based on Direct Electron’s novel ultra-fast binary-readout sensor, which is capable of electron counting at an internal frame rate of up to 8,000 fps (>5× faster than any other direct detector on the market). We propose to modify the design of this detector for 100 kV operation. We have already developed an initial prototype of a 100-kV optimized direct detector based on Direct Electron’s new sensor for scanning electron microscopy (SEM), which is sensitive to 3 – 30 kV electrons. The first results from this prototype sensor confirmed that our new design delivers high resolution, minimal backscattering, and an exceptional electron counting DQE at 100 kV. During Phase II of this project, we will modify the design and layout of our novel ultra-fast binary-readout sensor to optimize it for 100 kV operation. A camera system with this new sensor will be developed for integration on common 100 kV microscopes, with the goal of minimizing both the camera’s manufacturing and on-going support costs. The new camera will be integrated in SerialEM for automated data acquisition. A workflow for high- throughput 100 kV single-particle cryo-EM will be developed. Finally, single-particle cryo-EM at 100 kV will be demonstrated using the new camera. The success of this project will create an entirely new market for high-resolution 100 kV cryo-EM. This will significantly increase the accessibility to cryo-EM, propelling structural biology forward as more researchers have access to the tools they need. Additionally, expanding the availability of cryo-EM will enable researchers to more quickly respond to future human health emergencies, such as the current COVID-19 pandemic. Finally, the additional contrast afforded by 100 kV electrons is expected to push the limits of cryo-EM of small specimens (<100 kDa).", "keywords": [ "3-Dimensional", "Address", "Aldehyde-Lyases", "Apoferritin", "Biological", "COVID-19 pandemic", "Capital", "Collaborations", "Computer software", "Cryoelectron Microscopy", "Data", "Detection", "Development", "Electronics", "Electrons", "Emergency Situation", "Equipment", "Evaluation", "Fast Electron", "Future", "Goals", "Health", "Human", "Image", "Investments", "Measures", "Mechanics", "Microscope", "Mus", "Muscle", "Noise", "Oryctolagus cuniculus", "Performance", "Peripheral", "Phase", "Research", "Research Institute", "Research Personnel", "Resolution", "Running", "Scanning Electron Microscopy", "Side", "Specimen", "Speed", "System", "Techniques", "Time", "Validation", "base", "cost", "cost effective", "data acquisition", "design", "detector", "drug discovery", "experimental study", "innovation", "instrument", "novel", "operation", "particle", "printed circuit board", "prototype", "quantum", "reconstruction", "sensor", "software development", "structural biology", "success", "temporal measurement", "tool", "voltage" ], "approved": true } }, { "type": "Grant", "id": "8068", "attributes": { "award_id": "1R44GM140797-01", "title": "An Ultrafast Electron Counting Camera for 100 kV Cryo-EM", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 21614, "first_name": "MARY ANN ANN", "last_name": "WU", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-02-01", "end_date": "2023-01-31", "award_amount": 866770, "principal_investigator": { "id": 22318, "first_name": "Benjamin Eugene", "last_name": "Bammes", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1485, "ror": "", "name": "DIRECT ELECTRON, LP", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1485, "ror": "", "name": "DIRECT ELECTRON, LP", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "/ Abstract Single-particle electron cryo-microscopy (cryo-EM) has become an essential tool for high-resolution structural studies, both for basic biological and human health research as well as for drug discovery. Currently, one of the most pressing challenges for this powerful technique is satisfying the high and ever-growing demand for cryo-EM. This is especially challenging given the extremely high capital investment and running costs for 300 kV cryo-EM equipment. With demand for cryo-EM far exceeding capacity, there is a growing push for “democratization” of cryo-EM by developing cost-effective and highly-accessible equipment based on 100 kV TEM columns. Although the feasibility of high-resolution cryo-EM at 100 kV has been recently demonstrated (Naydenova, et al., 2019), this idea is currently hindered by the lack of suitable high-performance detectors at this low energy. Current direct detection cameras are optimized for operation for 200 and 300 kV. The performance of these cameras at 100 kV is remarkably poor, with very low resolution and very high noise due to backscattering. To address this problem, we propose to develop a new ultra-fast electron counting direct detection camera optimized for 100 kV. The proposed detector will be based on Direct Electron’s novel ultra-fast binary-readout sensor, which is capable of electron counting at an internal frame rate of up to 8,000 fps (>5× faster than any other direct detector on the market). We propose to modify the design of this detector for 100 kV operation. We have already developed an initial prototype of a 100-kV optimized direct detector based on Direct Electron’s new sensor for scanning electron microscopy (SEM), which is sensitive to 3 – 30 kV electrons. The first results from this prototype sensor confirmed that our new design delivers high resolution, minimal backscattering, and an exceptional electron counting DQE at 100 kV. During Phase II of this project, we will modify the design and layout of our novel ultra-fast binary-readout sensor to optimize it for 100 kV operation. A camera system with this new sensor will be developed for integration on common 100 kV microscopes, with the goal of minimizing both the camera’s manufacturing and on-going support costs. The new camera will be integrated in SerialEM for automated data acquisition. A workflow for high- throughput 100 kV single-particle cryo-EM will be developed. Finally, single-particle cryo-EM at 100 kV will be demonstrated using the new camera. The success of this project will create an entirely new market for high-resolution 100 kV cryo-EM. This will significantly increase the accessibility to cryo-EM, propelling structural biology forward as more researchers have access to the tools they need. Additionally, expanding the availability of cryo-EM will enable researchers to more quickly respond to future human health emergencies, such as the current COVID-19 pandemic. Finally, the additional contrast afforded by 100 kV electrons is expected to push the limits of cryo-EM of small specimens (<100 kDa).", "keywords": [ "3-Dimensional", "Address", "Aldehyde-Lyases", "Apoferritin", "Biological", "COVID-19 pandemic", "Capital", "Collaborations", "Computer software", "Cryoelectron Microscopy", "Data", "Detection", "Development", "Electronics", "Electrons", "Emergency Situation", "Equipment", "Evaluation", "Fast Electron", "Future", "Goals", "Health", "Human", "Image", "Investments", "Measures", "Mechanics", "Microscope", "Mus", "Muscle", "Noise", "Oryctolagus cuniculus", "Performance", "Peripheral", "Phase", "Research", "Research Institute", "Research Personnel", "Resolution", "Running", "Scanning Electron Microscopy", "Side", "Specimen", "Speed", "Structure", "System", "Techniques", "Time", "Validation", "base", "cost", "cost effective", "data acquisition", "design", "detector", "drug discovery", "experimental study", "innovation", "instrument", "novel", "operation", "particle", "printed circuit board", "prototype", "quantum", "reconstruction", "sensor", "software development", "structural biology", "success", "temporal measurement", "tool", "voltage" ], "approved": true } }, { "type": "Grant", "id": "15473", "attributes": { "award_id": "5K23AI177817-02", "title": "Impact of gestational SARS-CoV-2 and maternal inflammation on child growth and neurodevelopment in a malaria-endemic setting", "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": 6243, "first_name": "BROOKE ALLISON", "last_name": "Bozick", "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": 193320, "principal_investigator": { "id": 27943, "first_name": "Karen Blake", "last_name": "Jacobson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 769, "ror": "", "name": "KAISER FOUNDATION RESEARCH INSTITUTE", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "/ ABSTRACT Since the emergence of SARS-CoV-2 in 2020, millions of pregnancies in malaria-endemic sub-Saharan Africa have been impacted by SARS-CoV-2 infection. High rates of SARS-CoV-2 and malaria co-infections during pregnancy will continue as new SARS-CoV-2 variants emerge and cause re-infections in subsequent waves. SARS-CoV-2 and malaria in pregnancy are both associated with adverse birth and infant outcomes – including preterm birth, low birth weight, and impaired growth and neurodevelopment – possibly mediated through maternal inflammation. Data on long-term developmental effects of gestational SARS-CoV-2 in highly malaria exposed populations are lacking. To address this gap, I will leverage samples and data from mother-infant dyads enrolled in two complementary ongoing NIH-funded antimalarial chemoprevention trials in Busia, Uganda. In the pregnancy trial, pregnant women are randomized to one of three antimalarial chemoprevention regimens and followed through delivery; infants born to these women are being randomized in a separate clinical trial to receive antimalarial chemoprevention or placebo and followed to age 4 years. These trials have coincided with Uganda’s early SARS-CoV-2 surges, and preliminary data indicate high incidence of both SARS-CoV-2 and malaria during pregnancy. Using clinical data and samples collected as part of the ongoing trials, I will test the hypothesis that infants exposed to gestational SARS-CoV-2 will have impaired growth and neurodevelopment in early childhood when compared with unexposed infants, and that this is mediated by maternal inflammation. I further hypothesize that exposure to both SARS-CoV-2 and malaria in pregnancy increases adverse infant outcomes due to the synergistic inflammatory effects of both pathogens. In Aim 1, I will use serologic testing of stored plasma samples to retrospectively identify mothers who experienced SARS-CoV-2 during pregnancy and compare the growth of infants with and without gestational SARS-CoV-2 exposure through age 4 years. In Aim 2, I will compare neurocognitive test scores at ages 24 and 42 months among infants with and without gestational SARS-CoV-2. In Aim 3, I will explore maternal proteomic immune signatures of SARS-CoV-2 in pregnancy and determine if the effect of gestational SARS-CoV-2 on infant growth and neurodevelopment is mediated by specific inflammatory pathways. This cohort is uniquely poised to address the impact of SARS-CoV-2 in pregnancy in a malaria endemic setting, with longitudinal data and samples collected before widespread baseline SARS-CoV- 2 immunity. To accomplish these aims and become an independent translational researcher in tropical perinatal infections, I have assembled an interdisciplinary mentorship team of experts in in infectious diseases, obstetrics, pediatrics, neuropsychology, immunology, and global health. Results from this proposed study have immediate implications for improving care of at-risk infants, and could identify diagnostic or therapeutic targets for future clinical interventions.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "12085", "attributes": { "award_id": "1K23AI177817-01", "title": "Impact of gestational SARS-CoV-2 and maternal inflammation on child growth and neurodevelopment in a malaria-endemic setting", "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": 6243, "first_name": "BROOKE ALLISON", "last_name": "Bozick", "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": 193320, "principal_investigator": { "id": 27943, "first_name": "Karen Blake", "last_name": "Jacobson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 769, "ror": "", "name": "KAISER FOUNDATION RESEARCH INSTITUTE", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "/ ABSTRACT Since the emergence of SARS-CoV-2 in 2020, millions of pregnancies in malaria-endemic sub-Saharan Africa have been impacted by SARS-CoV-2 infection. High rates of SARS-CoV-2 and malaria co-infections during pregnancy will continue as new SARS-CoV-2 variants emerge and cause re-infections in subsequent waves. SARS-CoV-2 and malaria in pregnancy are both associated with adverse birth and infant outcomes – including preterm birth, low birth weight, and impaired growth and neurodevelopment – possibly mediated through maternal inflammation. Data on long-term developmental effects of gestational SARS-CoV-2 in highly malaria exposed populations are lacking. To address this gap, I will leverage samples and data from mother-infant dyads enrolled in two complementary ongoing NIH-funded antimalarial chemoprevention trials in Busia, Uganda. In the pregnancy trial, pregnant women are randomized to one of three antimalarial chemoprevention regimens and followed through delivery; infants born to these women are being randomized in a separate clinical trial to receive antimalarial chemoprevention or placebo and followed to age 4 years. These trials have coincided with Uganda’s early SARS-CoV-2 surges, and preliminary data indicate high incidence of both SARS-CoV-2 and malaria during pregnancy. Using clinical data and samples collected as part of the ongoing trials, I will test the hypothesis that infants exposed to gestational SARS-CoV-2 will have impaired growth and neurodevelopment in early childhood when compared with unexposed infants, and that this is mediated by maternal inflammation. I further hypothesize that exposure to both SARS-CoV-2 and malaria in pregnancy increases adverse infant outcomes due to the synergistic inflammatory effects of both pathogens. In Aim 1, I will use serologic testing of stored plasma samples to retrospectively identify mothers who experienced SARS-CoV-2 during pregnancy and compare the growth of infants with and without gestational SARS-CoV-2 exposure through age 4 years. In Aim 2, I will compare neurocognitive test scores at ages 24 and 42 months among infants with and without gestational SARS-CoV-2. In Aim 3, I will explore maternal proteomic immune signatures of SARS-CoV-2 in pregnancy and determine if the effect of gestational SARS-CoV-2 on infant growth and neurodevelopment is mediated by specific inflammatory pathways. This cohort is uniquely poised to address the impact of SARS-CoV-2 in pregnancy in a malaria endemic setting, with longitudinal data and samples collected before widespread baseline SARS-CoV- 2 immunity. To accomplish these aims and become an independent translational researcher in tropical perinatal infections, I have assembled an interdisciplinary mentorship team of experts in in infectious diseases, obstetrics, pediatrics, neuropsychology, immunology, and global health. Results from this proposed study have immediate implications for improving care of at-risk infants, and could identify diagnostic or therapeutic targets for future clinical interventions.", "keywords": [ "2 year old", "2019-nCoV", "4 year old", "Address", "Adverse effects", "Africa South of the Sahara", "African", "Age", "Antimalarials", "Birth", "COVID-19 pandemic", "Caring", "Chemoprevention", "Child", "Childhood", "Clinical", "Clinical Data", "Clinical Management", "Clinical Trials", "Cohort Studies", "Collaborations", "Communicable Diseases", "Complex", "Data", "Data Set", "Development", "Diagnostic", "Discipline of obstetrics", "Enrollment", "Epidemiology", "Exclusion", "Exposure to", "Funding", "Future", "Goals", "Growth", "Immune", "Immune response", "Immunity", "Immunology", "Impairment", "Incidence", "Infant", "Infection", "Inflammation", "Inflammation Mediators", "Inflammatory", "Interleukin-1", "Intervention", "Knowledge", "Long-Term Effects", "Low Birth Weight Infant", "Malaria", "Mediating", "Mentorship", "Mothers", "Neurocognitive", "Neurocognitive Deficit", "Neuropsychology", "Outcome", "Pathway interactions", "Pediatrics", "Perinatal Infection", "Placebos", "Plasma", "Population", "Pregnancy", "Pregnant Women", "Premature Birth", "Prevention trial", "Proteomics", "Pyrimethamine", "Randomized", "Regimen", "Research", "Research Personnel", "Resource-limited setting", "Resources", "Risk", "SARS-CoV-2 exposure", "SARS-CoV-2 immunity", "SARS-CoV-2 infection", "SARS-CoV-2 variant", "Sampling", "Serology test", "Signal Pathway", "Sulfadoxine", "Testing", "Toddler", "Training", "Translational Research", "Uganda", "Underweight", "United States National Institutes of Health", "Vaccines", "Woman", "career development", "clinically significant", "co-infection", "cohort", "cytokine", "early childhood", "experience", "fighting", "geographic population", "global health", "improved", "infant outcome", "inflammatory marker", "neurocognitive test", "neurodevelopment", "offspring", "pathogen", "seropositive", "therapeutic target", "translational scientist", "vigilance", "wasting" ], "approved": true } } ], "meta": { "pagination": { "page": 1391, "pages": 1419, "count": 14184 } } }