Grant List
Represents Grant table in the DB
GET /v1/grants?sort=-principal_investigator
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-principal_investigator", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1419&sort=-principal_investigator", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=2&sort=-principal_investigator", "prev": null }, "data": [ { "type": "Grant", "id": "15938", "attributes": { "award_id": "3U01AI069911-20S3", "title": "East Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional Consortium", "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": 44382, "first_name": "JOANAD'ARC C", "last_name": "ROE", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-06-01", "end_date": "2026-05-31", "award_amount": 276896, "principal_investigator": { "id": 44383, "first_name": "AGGREY SEMWENDERO", "last_name": "SEMEERE", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 44384, "first_name": "Kara Kay", "last_name": "Wools-Kaloustian", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 44385, "first_name": "CONSTANTIN THEODORE", "last_name": "YIANNOUTSOS", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 3402, "ror": "", "name": "INDIANA UNIVERSITY INDIANAPOLIS", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "Project Summary/Abstract: Our primary goal continues to be the provision of answers to questions that clinicians, governments, programs and international organizations consider central to the evolution and sustainability of their long term HIV care and treatment strategies for achieving the UNAIDS 2030 targets of 95-95-95 in the midst of the SARS-CoV-2 pandemic and changes in public health funding priorities. Our central hypothesis is that retention in the HIV care cascade and treatment outcomes are influenced by patient-level demographic, clinical, developmental, and behavioral factors, as well as, factors within the ambient health care and broader contextual environment. We will leverage our strengths, including robust working relationships with HIV treatment programs, a substantial harmonized regional database, plus broad experience in sampling-based methodologies and novel analytical approaches. Over the course of this research we will: SA-1: Describe movement through the HIV care cascade with a focus on identifying broader and health care environment contextual factors that influence optimal retention in care and viral suppression, in the face of global disruption due to the COVID-19 pandemic and changes in donor funding priorities. The Post COVID-19 Double-Sampling Cohort (Post COVID) will address the impact of broader contextual factors (COVID-19) while the Telehealth and Structural Adaptations project will address the impact of health care structure. SA-2: Examine the impact of developmental stage and behavioral factors on retention in the cascade and subsequent outcomes. The multiregional Adolescent and Young Adult Network of IeDEA (AYANI) and regional Measuring Adverse Pregnancy and Newborn Congenital Outcomes (MANGO) cohorts will assess the impact of developmental stage on the cascade, while the Syndemics cohort will address the impact of mental health on the cascade.SA- 3: Examine the immediate and long-term outcomes of people diagnosed with Tuberculosis (TB) with a focus on identifying and addressing factors associated with patient outcomes. The multiregional TB Sentinel Research Network (TB-SRN) will focus on understanding TB outcomes and long-term pulmonary complications including associated factors. SA-4: Explore the use of new technologies, including eHealth and machine (deep) learning to diagnose and manage HIV-associated cancers with a focus on Kaposi’s Sarcoma (KS) and Cervical Cancer. The KS Project will assess implementation of a Dermatology Telehealth Program and the Cervical Cancer Project will assess the implementation of cervical image capture with machine learning for cancer diagnoses and management. SA-5: Examine the epidemiology of NCD comorbidities and ART complications with a focus on the oldest and youngest-age groups affected by HIV. The multi-regional Sentinel Research Network (SRN) will address non-communicable diseases in people living with HIV (PLHIV) > 40 years and the regional MANGO Cohort will address complications of ART/HIV exposure on HIV-Exposed Infants.", "keywords": [ "2019-nCoV", "AIDS related cancer", "Achievement", "Acquired Immunodeficiency Syndrome", "Address", "Adolescent and Young Adult", "Affect", "Africa", "Behavioral", "COVID-19", "COVID-19 pandemic", "Caring", "Cervical", "Clinic", "Clinical", "Collaborations", "Communities", "Country", "Data", "Data Sources", "Databases", "Dermatology", "Development", "Diagnosis", "Disease", "Environment", "Epidemiology", "Evolution", "Funding", "Gender", "Genetic", "Geography", "Goals", "Government", "Grant", "HIV", "HIV/AIDS", "Health", "Health Care", "Home", "Image", "Infant", "International", "Joints", "Kaposi Sarcoma", "Kenya", "Knowledge", "Learning", "Liver diseases", "Longevity", "Machine Learning", "Malignant Neoplasms", "Malignant neoplasm of cervix uteri", "Measures", "Mental Depression", "Mental Health", "Methodology", "Methods", "Movement", "Newborn Infant", "Operations Research", "Outcome", "Patient-Focused Outcomes", "Patients", "Persons", "Policies", "Pregnancy", "Public Health", "Research", "Resource-limited setting", "Risk Factors", "Sampling", "Sentinel", "Statistical Methods", "Structure", "Tanzania", "Technology", "Telemedicine", "Treatment outcome", "Tuberculosis", "Tuberculosis diagnosis", "Uganda", "United Nations", "Viral", "age group", "antiretroviral therapy", "cancer diagnosis", "cardiovascular risk factor", "care outcomes", "co-infection", "cohort", "comorbidity", "contextual factors", "eHealth", "experience", "implementation evaluation", "implementation research", "insight", "new technology", "novel", "post-COVID-19", "programs", "pulmonary", "scale up", "substance use", "syndemic", "telehealth", "tool", "treatment guidelines", "treatment program", "treatment strategy" ], "approved": true } }, { "type": "Grant", "id": "15939", "attributes": { "award_id": "3U01AI069911-20S2", "title": "East Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional Consortium", "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": 44382, "first_name": "JOANAD'ARC C", "last_name": "ROE", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-06-01", "end_date": "2026-05-31", "award_amount": 121192, "principal_investigator": { "id": 44383, "first_name": "AGGREY SEMWENDERO", "last_name": "SEMEERE", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 44384, "first_name": "Kara Kay", "last_name": "Wools-Kaloustian", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 44385, "first_name": "CONSTANTIN THEODORE", "last_name": "YIANNOUTSOS", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 3402, "ror": "", "name": "INDIANA UNIVERSITY INDIANAPOLIS", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "Project Summary/Abstract: Our primary goal continues to be the provision of answers to questions that clinicians, governments, programs and international organizations consider central to the evolution and sustainability of their long term HIV care and treatment strategies for achieving the UNAIDS 2030 targets of 95-95-95 in the midst of the SARS-CoV-2 pandemic and changes in public health funding priorities. Our central hypothesis is that retention in the HIV care cascade and treatment outcomes are influenced by patient-level demographic, clinical, developmental, and behavioral factors, as well as, factors within the ambient health care and broader contextual environment. We will leverage our strengths, including robust working relationships with HIV treatment programs, a substantial harmonized regional database, plus broad experience in sampling-based methodologies and novel analytical approaches. Over the course of this research we will: SA-1: Describe movement through the HIV care cascade with a focus on identifying broader and health care environment contextual factors that influence optimal retention in care and viral suppression, in the face of global disruption due to the COVID-19 pandemic and changes in donor funding priorities. The Post COVID-19 Double-Sampling Cohort (Post COVID) will address the impact of broader contextual factors (COVID-19) while the Telehealth and Structural Adaptations project will address the impact of health care structure. SA-2: Examine the impact of developmental stage and behavioral factors on retention in the cascade and subsequent outcomes. The multiregional Adolescent and Young Adult Network of IeDEA (AYANI) and regional Measuring Adverse Pregnancy and Newborn Congenital Outcomes (MANGO) cohorts will assess the impact of developmental stage on the cascade, while the Syndemics cohort will address the impact of mental health on the cascade.SA- 3: Examine the immediate and long-term outcomes of people diagnosed with Tuberculosis (TB) with a focus on identifying and addressing factors associated with patient outcomes. The multiregional TB Sentinel Research Network (TB-SRN) will focus on understanding TB outcomes and long-term pulmonary complications including associated factors. SA-4: Explore the use of new technologies, including eHealth and machine (deep) learning to diagnose and manage HIV-associated cancers with a focus on Kaposi’s Sarcoma (KS) and Cervical Cancer. The KS Project will assess implementation of a Dermatology Telehealth Program and the Cervical Cancer Project will assess the implementation of cervical image capture with machine learning for cancer diagnoses and management. SA-5: Examine the epidemiology of NCD comorbidities and ART complications with a focus on the oldest and youngest-age groups affected by HIV. The multi-regional Sentinel Research Network (SRN) will address non-communicable diseases in people living with HIV (PLHIV) > 40 years and the regional MANGO Cohort will address complications of ART/HIV exposure on HIV-Exposed Infants.", "keywords": [ "2019-nCoV", "AIDS related cancer", "Achievement", "Acquired Immunodeficiency Syndrome", "Address", "Adolescent and Young Adult", "Affect", "Africa", "Behavioral", "COVID-19", "COVID-19 pandemic", "Caring", "Cervical", "Clinic", "Clinical", "Collaborations", "Communities", "Country", "Data", "Data Sources", "Databases", "Dermatology", "Development", "Diagnosis", "Disease", "Environment", "Epidemiology", "Evolution", "Funding", "Gender", "Genetic", "Geography", "Goals", "Government", "Grant", "HIV", "HIV/AIDS", "Health", "Health Care", "Home", "Image", "Infant", "International", "Joints", "Kaposi Sarcoma", "Kenya", "Knowledge", "Learning", "Liver diseases", "Longevity", "Machine Learning", "Malignant Neoplasms", "Malignant neoplasm of cervix uteri", "Measures", "Mental Depression", "Mental Health", "Methodology", "Methods", "Movement", "Newborn Infant", "Operations Research", "Outcome", "Patient-Focused Outcomes", "Patients", "Persons", "Policies", "Pregnancy", "Public Health", "Research", "Resource-limited setting", "Risk Factors", "Sampling", "Sentinel", "Statistical Methods", "Structure", "Tanzania", "Technology", "Telemedicine", "Treatment outcome", "Tuberculosis", "Tuberculosis diagnosis", "Uganda", "United Nations", "Viral", "age group", "antiretroviral therapy", "cancer diagnosis", "cardiovascular risk factor", "care outcomes", "co-infection", "cohort", "comorbidity", "contextual factors", "eHealth", "experience", "implementation evaluation", "implementation research", "insight", "new technology", "novel", "post-COVID-19", "programs", "pulmonary", "scale up", "substance use", "syndemic", "telehealth", "tool", "treatment guidelines", "treatment program", "treatment strategy" ], "approved": true } }, { "type": "Grant", "id": "15936", "attributes": { "award_id": "3U01AI069911-20S1", "title": "East Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional Consortium", "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": 44382, "first_name": "JOANAD'ARC C", "last_name": "ROE", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-06-01", "end_date": "2026-05-31", "award_amount": 317911, "principal_investigator": { "id": 44383, "first_name": "AGGREY SEMWENDERO", "last_name": "SEMEERE", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 44384, "first_name": "Kara Kay", "last_name": "Wools-Kaloustian", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 44385, "first_name": "CONSTANTIN THEODORE", "last_name": "YIANNOUTSOS", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 3402, "ror": "", "name": "INDIANA UNIVERSITY INDIANAPOLIS", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "Project Summary/Abstract: Our primary goal continues to be the provision of answers to questions that clinicians, governments, programs and international organizations consider central to the evolution and sustainability of their long term HIV care and treatment strategies for achieving the UNAIDS 2030 targets of 95-95-95 in the midst of the SARS-CoV-2 pandemic and changes in public health funding priorities. Our central hypothesis is that retention in the HIV care cascade and treatment outcomes are influenced by patient-level demographic, clinical, developmental, and behavioral factors, as well as, factors within the ambient health care and broader contextual environment. We will leverage our strengths, including robust working relationships with HIV treatment programs, a substantial harmonized regional database, plus broad experience in sampling-based methodologies and novel analytical approaches. Over the course of this research we will: SA-1: Describe movement through the HIV care cascade with a focus on identifying broader and health care environment contextual factors that influence optimal retention in care and viral suppression, in the face of global disruption due to the COVID-19 pandemic and changes in donor funding priorities. The Post COVID-19 Double-Sampling Cohort (Post COVID) will address the impact of broader contextual factors (COVID-19) while the Telehealth and Structural Adaptations project will address the impact of health care structure. SA-2: Examine the impact of developmental stage and behavioral factors on retention in the cascade and subsequent outcomes. The multiregional Adolescent and Young Adult Network of IeDEA (AYANI) and regional Measuring Adverse Pregnancy and Newborn Congenital Outcomes (MANGO) cohorts will assess the impact of developmental stage on the cascade, while the Syndemics cohort will address the impact of mental health on the cascade.SA- 3: Examine the immediate and long-term outcomes of people diagnosed with Tuberculosis (TB) with a focus on identifying and addressing factors associated with patient outcomes. The multiregional TB Sentinel Research Network (TB-SRN) will focus on understanding TB outcomes and long-term pulmonary complications including associated factors. SA-4: Explore the use of new technologies, including eHealth and machine (deep) learning to diagnose and manage HIV-associated cancers with a focus on Kaposi’s Sarcoma (KS) and Cervical Cancer. The KS Project will assess implementation of a Dermatology Telehealth Program and the Cervical Cancer Project will assess the implementation of cervical image capture with machine learning for cancer diagnoses and management. SA-5: Examine the epidemiology of NCD comorbidities and ART complications with a focus on the oldest and youngest-age groups affected by HIV. The multi-regional Sentinel Research Network (SRN) will address non-communicable diseases in people living with HIV (PLHIV) > 40 years and the regional MANGO Cohort will address complications of ART/HIV exposure on HIV-Exposed Infants.", "keywords": [ "2019-nCoV", "AIDS related cancer", "Achievement", "Acquired Immunodeficiency Syndrome", "Address", "Adolescent and Young Adult", "Affect", "Africa", "Behavioral", "COVID-19", "COVID-19 pandemic", "Caring", "Cervical", "Clinic", "Clinical", "Collaborations", "Communities", "Country", "Data", "Data Sources", "Databases", "Dermatology", "Development", "Diagnosis", "Disease", "Environment", "Epidemiology", "Evolution", "Funding", "Gender", "Genetic", "Geography", "Goals", "Government", "Grant", "HIV", "HIV/AIDS", "Health", "Health Care", "Home", "Image", "Infant", "International", "Joints", "Kaposi Sarcoma", "Kenya", "Knowledge", "Learning", "Liver diseases", "Longevity", "Machine Learning", "Malignant Neoplasms", "Malignant neoplasm of cervix uteri", "Measures", "Mental Depression", "Mental Health", "Methodology", "Methods", "Movement", "Newborn Infant", "Operations Research", "Outcome", "Patient-Focused Outcomes", "Patients", "Persons", "Policies", "Pregnancy", "Public Health", "Research", "Resource-limited setting", "Risk Factors", "Sampling", "Sentinel", "Statistical Methods", "Structure", "Tanzania", "Technology", "Telemedicine", "Treatment outcome", "Tuberculosis", "Tuberculosis diagnosis", "Uganda", "United Nations", "Viral", "age group", "antiretroviral therapy", "cancer diagnosis", "cardiovascular risk factor", "care outcomes", "co-infection", "cohort", "comorbidity", "contextual factors", "eHealth", "experience", "implementation evaluation", "implementation research", "insight", "new technology", "novel", "post-COVID-19", "programs", "pulmonary", "scale up", "substance use", "syndemic", "telehealth", "tool", "treatment guidelines", "treatment program", "treatment strategy" ], "approved": true } }, { "type": "Grant", "id": "15940", "attributes": { "award_id": "3U01AI069911-20S4", "title": "East Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional Consortium", "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": 44382, "first_name": "JOANAD'ARC C", "last_name": "ROE", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-06-01", "end_date": "2026-05-31", "award_amount": 747173, "principal_investigator": { "id": 44383, "first_name": "AGGREY SEMWENDERO", "last_name": "SEMEERE", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 44384, "first_name": "Kara Kay", "last_name": "Wools-Kaloustian", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 44385, "first_name": "CONSTANTIN THEODORE", "last_name": "YIANNOUTSOS", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 3402, "ror": "", "name": "INDIANA UNIVERSITY INDIANAPOLIS", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "Project Summary/Abstract: Our primary goal continues to be the provision of answers to questions that clinicians, governments, programs and international organizations consider central to the evolution and sustainability of their long term HIV care and treatment strategies for achieving the UNAIDS 2030 targets of 95-95-95 in the midst of the SARS-CoV-2 pandemic and changes in public health funding priorities. Our central hypothesis is that retention in the HIV care cascade and treatment outcomes are influenced by patient-level demographic, clinical, developmental, and behavioral factors, as well as, factors within the ambient health care and broader contextual environment. We will leverage our strengths, including robust working relationships with HIV treatment programs, a substantial harmonized regional database, plus broad experience in sampling-based methodologies and novel analytical approaches. Over the course of this research we will: SA-1: Describe movement through the HIV care cascade with a focus on identifying broader and health care environment contextual factors that influence optimal retention in care and viral suppression, in the face of global disruption due to the COVID-19 pandemic and changes in donor funding priorities. The Post COVID-19 Double-Sampling Cohort (Post COVID) will address the impact of broader contextual factors (COVID-19) while the Telehealth and Structural Adaptations project will address the impact of health care structure. SA-2: Examine the impact of developmental stage and behavioral factors on retention in the cascade and subsequent outcomes. The multiregional Adolescent and Young Adult Network of IeDEA (AYANI) and regional Measuring Adverse Pregnancy and Newborn Congenital Outcomes (MANGO) cohorts will assess the impact of developmental stage on the cascade, while the Syndemics cohort will address the impact of mental health on the cascade.SA- 3: Examine the immediate and long-term outcomes of people diagnosed with Tuberculosis (TB) with a focus on identifying and addressing factors associated with patient outcomes. The multiregional TB Sentinel Research Network (TB-SRN) will focus on understanding TB outcomes and long-term pulmonary complications including associated factors. SA-4: Explore the use of new technologies, including eHealth and machine (deep) learning to diagnose and manage HIV-associated cancers with a focus on Kaposi’s Sarcoma (KS) and Cervical Cancer. The KS Project will assess implementation of a Dermatology Telehealth Program and the Cervical Cancer Project will assess the implementation of cervical image capture with machine learning for cancer diagnoses and management. SA-5: Examine the epidemiology of NCD comorbidities and ART complications with a focus on the oldest and youngest-age groups affected by HIV. The multi-regional Sentinel Research Network (SRN) will address non-communicable diseases in people living with HIV (PLHIV) > 40 years and the regional MANGO Cohort will address complications of ART/HIV exposure on HIV-Exposed Infants.", "keywords": [ "2019-nCoV", "AIDS related cancer", "Achievement", "Acquired Immunodeficiency Syndrome", "Address", "Adolescent and Young Adult", "Affect", "Africa", "Behavioral", "COVID-19", "COVID-19 pandemic", "Caring", "Cervical", "Clinic", "Clinical", "Collaborations", "Communities", "Country", "Data", "Data Sources", "Databases", "Dermatology", "Development", "Diagnosis", "Disease", "Environment", "Epidemiology", "Evolution", "Funding", "Gender", "Genetic", "Geography", "Goals", "Government", "Grant", "HIV", "HIV/AIDS", "Health", "Health Care", "Home", "Image", "Infant", "International", "Joints", "Kaposi Sarcoma", "Kenya", "Knowledge", "Learning", "Liver diseases", "Longevity", "Machine Learning", "Malignant Neoplasms", "Malignant neoplasm of cervix uteri", "Measures", "Mental Depression", "Mental Health", "Methodology", "Methods", "Movement", "Newborn Infant", "Operations Research", "Outcome", "Patient-Focused Outcomes", "Patients", "Persons", "Policies", "Pregnancy", "Public Health", "Research", "Resource-limited setting", "Risk Factors", "Sampling", "Sentinel", "Statistical Methods", "Structure", "Tanzania", "Technology", "Telemedicine", "Treatment outcome", "Tuberculosis", "Tuberculosis diagnosis", "Uganda", "United Nations", "Viral", "age group", "antiretroviral therapy", "cancer diagnosis", "cardiovascular risk factor", "care outcomes", "co-infection", "cohort", "comorbidity", "contextual factors", "eHealth", "experience", "implementation evaluation", "implementation research", "insight", "new technology", "novel", "post-COVID-19", "programs", "pulmonary", "scale up", "substance use", "syndemic", "telehealth", "tool", "treatment guidelines", "treatment program", "treatment strategy" ], "approved": true } }, { "type": "Grant", "id": "15941", "attributes": { "award_id": "3U01AI069911-20S5", "title": "East Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional Consortium", "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": 44382, "first_name": "JOANAD'ARC C", "last_name": "ROE", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-06-01", "end_date": "2026-05-31", "award_amount": 195343, "principal_investigator": { "id": 44383, "first_name": "AGGREY SEMWENDERO", "last_name": "SEMEERE", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 44384, "first_name": "Kara Kay", "last_name": "Wools-Kaloustian", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 44385, "first_name": "CONSTANTIN THEODORE", "last_name": "YIANNOUTSOS", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 3402, "ror": "", "name": "INDIANA UNIVERSITY INDIANAPOLIS", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "Project Summary/Abstract: Our primary goal continues to be the provision of answers to questions that clinicians, governments, programs and international organizations consider central to the evolution and sustainability of their long term HIV care and treatment strategies for achieving the UNAIDS 2030 targets of 95-95-95 in the midst of the SARS-CoV-2 pandemic and changes in public health funding priorities. Our central hypothesis is that retention in the HIV care cascade and treatment outcomes are influenced by patient-level demographic, clinical, developmental, and behavioral factors, as well as, factors within the ambient health care and broader contextual environment. We will leverage our strengths, including robust working relationships with HIV treatment programs, a substantial harmonized regional database, plus broad experience in sampling-based methodologies and novel analytical approaches. Over the course of this research we will: SA-1: Describe movement through the HIV care cascade with a focus on identifying broader and health care environment contextual factors that influence optimal retention in care and viral suppression, in the face of global disruption due to the COVID-19 pandemic and changes in donor funding priorities. The Post COVID-19 Double-Sampling Cohort (Post COVID) will address the impact of broader contextual factors (COVID-19) while the Telehealth and Structural Adaptations project will address the impact of health care structure. SA-2: Examine the impact of developmental stage and behavioral factors on retention in the cascade and subsequent outcomes. The multiregional Adolescent and Young Adult Network of IeDEA (AYANI) and regional Measuring Adverse Pregnancy and Newborn Congenital Outcomes (MANGO) cohorts will assess the impact of developmental stage on the cascade, while the Syndemics cohort will address the impact of mental health on the cascade.SA- 3: Examine the immediate and long-term outcomes of people diagnosed with Tuberculosis (TB) with a focus on identifying and addressing factors associated with patient outcomes. The multiregional TB Sentinel Research Network (TB-SRN) will focus on understanding TB outcomes and long-term pulmonary complications including associated factors. SA-4: Explore the use of new technologies, including eHealth and machine (deep) learning to diagnose and manage HIV-associated cancers with a focus on Kaposi’s Sarcoma (KS) and Cervical Cancer. The KS Project will assess implementation of a Dermatology Telehealth Program and the Cervical Cancer Project will assess the implementation of cervical image capture with machine learning for cancer diagnoses and management. SA-5: Examine the epidemiology of NCD comorbidities and ART complications with a focus on the oldest and youngest-age groups affected by HIV. The multi-regional Sentinel Research Network (SRN) will address non-communicable diseases in people living with HIV (PLHIV) > 40 years and the regional MANGO Cohort will address complications of ART/HIV exposure on HIV-Exposed Infants.", "keywords": [ "2019-nCoV", "AIDS related cancer", "Achievement", "Acquired Immunodeficiency Syndrome", "Address", "Adolescent and Young Adult", "Affect", "Africa", "Behavioral", "COVID-19", "COVID-19 pandemic", "Caring", "Cervical", "Clinic", "Clinical", "Collaborations", "Communities", "Country", "Data", "Data Sources", "Databases", "Dermatology", "Development", "Diagnosis", "Disease", "Environment", "Epidemiology", "Evolution", "Funding", "Gender", "Genetic", "Geography", "Goals", "Government", "Grant", "HIV", "HIV/AIDS", "Health", "Health Care", "Home", "Image", "Infant", "International", "Joints", "Kaposi Sarcoma", "Kenya", "Knowledge", "Learning", "Liver diseases", "Longevity", "Machine Learning", "Malignant Neoplasms", "Malignant neoplasm of cervix uteri", "Measures", "Mental Depression", "Mental Health", "Methodology", "Methods", "Movement", "Newborn Infant", "Operations Research", "Outcome", "Patient-Focused Outcomes", "Patients", "Persons", "Policies", "Pregnancy", "Public Health", "Research", "Resource-limited setting", "Risk Factors", "Sampling", "Sentinel", "Statistical Methods", "Structure", "Tanzania", "Technology", "Telemedicine", "Treatment outcome", "Tuberculosis", "Tuberculosis diagnosis", "Uganda", "United Nations", "Viral", "age group", "antiretroviral therapy", "cancer diagnosis", "cardiovascular risk factor", "care outcomes", "co-infection", "cohort", "comorbidity", "contextual factors", "eHealth", "experience", "implementation evaluation", "implementation research", "insight", "new technology", "novel", "post-COVID-19", "programs", "pulmonary", "scale up", "substance use", "syndemic", "telehealth", "tool", "treatment guidelines", "treatment program", "treatment strategy" ], "approved": true } }, { "type": "Grant", "id": "15937", "attributes": { "award_id": "3U01AI069911-20S6", "title": "East Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional Consortium", "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": 44382, "first_name": "JOANAD'ARC C", "last_name": "ROE", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-06-01", "end_date": "2026-05-31", "award_amount": 47470, "principal_investigator": { "id": 44383, "first_name": "AGGREY SEMWENDERO", "last_name": "SEMEERE", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 44384, "first_name": "Kara Kay", "last_name": "Wools-Kaloustian", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 44385, "first_name": "CONSTANTIN THEODORE", "last_name": "YIANNOUTSOS", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 3402, "ror": "", "name": "INDIANA UNIVERSITY INDIANAPOLIS", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "Project Summary/Abstract: Our primary goal continues to be the provision of answers to questions that clinicians, governments, programs and international organizations consider central to the evolution and sustainability of their long term HIV care and treatment strategies for achieving the UNAIDS 2030 targets of 95-95-95 in the midst of the SARS-CoV-2 pandemic and changes in public health funding priorities. Our central hypothesis is that retention in the HIV care cascade and treatment outcomes are influenced by patient-level demographic, clinical, developmental, and behavioral factors, as well as, factors within the ambient health care and broader contextual environment. We will leverage our strengths, including robust working relationships with HIV treatment programs, a substantial harmonized regional database, plus broad experience in sampling-based methodologies and novel analytical approaches. Over the course of this research we will: SA-1: Describe movement through the HIV care cascade with a focus on identifying broader and health care environment contextual factors that influence optimal retention in care and viral suppression, in the face of global disruption due to the COVID-19 pandemic and changes in donor funding priorities. The Post COVID-19 Double-Sampling Cohort (Post COVID) will address the impact of broader contextual factors (COVID-19) while the Telehealth and Structural Adaptations project will address the impact of health care structure. SA-2: Examine the impact of developmental stage and behavioral factors on retention in the cascade and subsequent outcomes. The multiregional Adolescent and Young Adult Network of IeDEA (AYANI) and regional Measuring Adverse Pregnancy and Newborn Congenital Outcomes (MANGO) cohorts will assess the impact of developmental stage on the cascade, while the Syndemics cohort will address the impact of mental health on the cascade.SA- 3: Examine the immediate and long-term outcomes of people diagnosed with Tuberculosis (TB) with a focus on identifying and addressing factors associated with patient outcomes. The multiregional TB Sentinel Research Network (TB-SRN) will focus on understanding TB outcomes and long-term pulmonary complications including associated factors. SA-4: Explore the use of new technologies, including eHealth and machine (deep) learning to diagnose and manage HIV-associated cancers with a focus on Kaposi’s Sarcoma (KS) and Cervical Cancer. The KS Project will assess implementation of a Dermatology Telehealth Program and the Cervical Cancer Project will assess the implementation of cervical image capture with machine learning for cancer diagnoses and management. SA-5: Examine the epidemiology of NCD comorbidities and ART complications with a focus on the oldest and youngest-age groups affected by HIV. The multi-regional Sentinel Research Network (SRN) will address non-communicable diseases in people living with HIV (PLHIV) > 40 years and the regional MANGO Cohort will address complications of ART/HIV exposure on HIV-Exposed Infants.", "keywords": [ "2019-nCoV", "AIDS related cancer", "Achievement", "Acquired Immunodeficiency Syndrome", "Address", "Adolescent and Young Adult", "Affect", "Africa", "Behavioral", "COVID-19", "COVID-19 pandemic", "Caring", "Cervical", "Clinic", "Clinical", "Collaborations", "Communities", "Country", "Data", "Data Sources", "Databases", "Dermatology", "Development", "Diagnosis", "Disease", "Environment", "Epidemiology", "Evolution", "Funding", "Gender", "Genetic", "Geography", "Goals", "Government", "Grant", "HIV", "HIV/AIDS", "Health", "Health Care", "Home", "Image", "Infant", "International", "Joints", "Kaposi Sarcoma", "Kenya", "Knowledge", "Learning", "Liver diseases", "Longevity", "Machine Learning", "Malignant Neoplasms", "Malignant neoplasm of cervix uteri", "Measures", "Mental Depression", "Mental Health", "Methodology", "Methods", "Movement", "Newborn Infant", "Operations Research", "Outcome", "Patient-Focused Outcomes", "Patients", "Persons", "Policies", "Pregnancy", "Public Health", "Research", "Resource-limited setting", "Risk Factors", "Sampling", "Sentinel", "Statistical Methods", "Structure", "Tanzania", "Technology", "Telemedicine", "Treatment outcome", "Tuberculosis", "Tuberculosis diagnosis", "Uganda", "United Nations", "Viral", "age group", "antiretroviral therapy", "cancer diagnosis", "cardiovascular risk factor", "care outcomes", "co-infection", "cohort", "comorbidity", "contextual factors", "eHealth", "experience", "implementation evaluation", "implementation research", "insight", "new technology", "novel", "post-COVID-19", "programs", "pulmonary", "scale up", "substance use", "syndemic", "telehealth", "tool", "treatment guidelines", "treatment program", "treatment strategy" ], "approved": true } }, { "type": "Grant", "id": "15935", "attributes": { "award_id": "1K99AG086538-01A1", "title": "Molecular profiles for mortality risk and longevity: a multiomics approach", "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": 44380, "first_name": "CHRISTY", "last_name": "CARTER", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-06-16", "end_date": "2027-03-31", "award_amount": 122858, "principal_investigator": { "id": 44381, "first_name": "Fenglei", "last_name": "Wang", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 3374, "ror": "", "name": "HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "The US life expectancy experienced a generally upward trend over the past few decades; however, in recent years, it has seen a decline. This decline cannot be solely attributed to the excess mortality caused by COVID- 19 but also to an increased death rate from other leading causes (e.g., heart disease, cancer, and stroke). The biological mechanisms that underlie aging process and mortality in humans are multifactorial and remain poorly understood. Although multiple genetic variants have been linked to lifespan in model organisms, many of these genes do not exhibit significant variation in human populations. The heritability of human lifespan also appears to be relatively low. One possible explanation for lack of significant loci and low heritability is the complexity of survival as a phenotype, which involves multiple biological processes, environmental influences, and chance. The stochastic component of survival may dilute the genetic influence on the time-to-death phenotype. Consequently, a substantial mechanistic gap exists between genotype and mortality. The proposed K99/R00 project aims to utilize plasma metabolomic and proteomics profile to bridge this gap and comprehensively investigate the relationship between genes, proteins, metabolites, and mortality risk. To achieve this goal, Dr. Fenglei Wang will incorporate data from multiple sources, including the Nurses’ Health Study (NSH), NHSII, Health Professionals Follow-up Study (HPFS), Hispanic Community Health Study/Study of Latinos (HCHS/ SOL), VITamin D Omega3 TriAL (VITAL), UK Biobank (UKB), and eQTLGen. In Aim 1 (K99), Dr. Wang will determine genetic factors that influence a plasma metabolomic signature, previously developed by him, which has the potential to predict all-cause mortality. He will also evaluate the causal relationship between the metabolomic signature and four diseases that are major causes of death. In Aim 2 (R00), Dr. Wang will construct a plasma proteomic signature capable of predicting all-cause mortality and identify genetic factors influencing the proteomic signature. Then he will compare the influential genetic factors identified for the proteomic signature to those for the metabolomic signature. In Aim 3 (R00), Dr. Wang will conduct plasma proteomic profiling in a nested case-control study to examine the relationship between longitudinal changes in plasma metabolomic and proteomic profiles and healthy longevity. Findings from this project may improve our understanding of the molecular profiles associated with the aging process and mortality, and inform potential interventions for improving health outcomes and extending human lifespan. Dr. Wang has assembled a strong mentoring team to provide expertise in aging research and training in genetics, proteomics, and multi-omics integration. The new skills will complement his current expertise in nutritional epidemiology and metabolomic research. His outlined training plan will provide the necessary knowledge and skills for Dr. Wang to advance towards his career goal of becoming an independent researcher who specializes in the application of multi-omics approach to study nutrition and healthy aging.", "keywords": [ "Affect", "Age", "Aging", "Biological", "Biological Process", "COVID-19", "COVID-19 mortality", "Cardiovascular Diseases", "Cause of Death", "Cessation of life", "Chronic Disease", "Colorectal Cancer", "Complement", "Coronary heart disease", "Data", "Data Set", "Databases", "Death Rate", "Diet", "Dietary Factors", "Disease", "Etiology", "Excess Mortality", "Follow-Up Studies", "Future", "Gene Expression", "Genes", "Genetic", "Genomics", "Genotype", "Goals", "Health", "Health Professional", "Heart Diseases", "Heritability", "Hispanic Community Health Study/Study of Latinos", "Human", "Influentials", "Intervention", "Investigation", "Knowledge", "Life Expectancy", "Link", "Longevity", "Malignant Neoplasms", "Mendelian randomization", "Mentors", "Molecular", "Molecular Profiling", "Multiomic Data", "National Institute on Aging", "Nested Case-Control Study", "Non-Insulin-Dependent Diabetes Mellitus", "Nurses' Health Study", "Nutrition", "Omega-3 Fatty Acids", "Outcome", "Participant", "Pattern", "Phenotype", "Pilot Projects", "Plasma", "Population", "Population Study", "Prospective cohort study", "Proteins", "Proteome", "Proteomics", "Publishing", "Recommendation", "Research", "Research Personnel", "Risk", "Stroke", "Technology", "Time", "Training", "Variant", "Vitamin D", "Work", "aging process", "aging related", "biobank", "career", "endophenotype", "experience", "genetic variant", "genome wide association study", "genome-wide", "healthy aging", "improved", "life span", "lifestyle factors", "machine learning model", "metabolomics", "model organism", "molecular marker", "mortality", "mortality risk", "multiple data sources", "multiple omics", "nutritional epidemiology", "prospective", "proteomic signature", "skills", "statistics", "transcriptome", "trend" ], "approved": true } }, { "type": "Grant", "id": "15934", "attributes": { "award_id": "1R13EB037429-01", "title": "International Symposium on Medical Robotics", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Biomedical Imaging and Bioengineering (NIBIB)" ], "program_reference_codes": [], "program_officials": [ { "id": 44349, "first_name": "DAVID JOSEPH", "last_name": "GUTEKUNST", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-06-01", "end_date": "2028-05-31", "award_amount": 10000, "principal_investigator": { "id": 44379, "first_name": "Jun", "last_name": "Sheng", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1190, "ror": "", "name": "UNIVERSITY OF CALIFORNIA RIVERSIDE", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Enter the text here that is the new abstract information for your application. This section must be no longer than 30 lines of text. SUMMARY Significance, timeliness and rationale. NIBIB’s mission is to transform through engineering the understanding of disease and its prevention, detection, diagnosis, and treatment. Life would not be possible without liquid crystalline (LC) order. The most celebrated example is the unique combination of flexibility and confining ability of cell membranes which is possible because lipids cooperatively aggregate into a lamellar LC phase in water. Many viruses, e.g., SARS-CoV-2, are enveloped in a lipid membrane and they may employ LC order for packing their nucleic acid cargo. Non-biological LCs have turned out to be sensitive in detecting and reporting on the presence of pathogens and toxins, making them highly interesting for autonomous bio-/chemosensors. LC formation is thus an integral component of what keeps us healthy, and they are emerging as a powerful tool for detecting disease agents. Although this connection is long known, it has until now been researched only marginally, constituting an under-explored opportunity in addressing societal needs. Today, the international LC research community is undergoing a rebirth, fully embracing these aspects. Interdisciplinary crossovers where LC science meets biological, life and pharmaceutical sciences, and engineering and materials science, play a groundbreaking role in leveraging the opportunities. Additional impact on the core fields of the NIH-NIBIB mission comes from, e.g., the exploration of LC elastomers in soft actuators or implants in the human body. Objective. Gordon Research Conference (GRC) and Gordon Research Seminar (GRS) in Liquid Crystals, 2025: “Uniting disciplines for global challenges: Liquid crystals as active and learning materials” to take place July 6-11th 2025 (GRS July 5-6, 2025) at the Southern New Hampshire University, Manchester, NH, US. The joint meetings will bring together US and international researchers at the forefront of today’s vibrant LC science, spanning its full breadth and connecting academia, industry and military labs, early career and established researchers, and harnessing every opportunity to promote scientific discussions and encourage collaboration between speakers, discussing leaders and participants. Approach. 23 prominent speakers have confirmed our invitations to present unpublished cutting-edge research. Our goal is to promote the participation of students, postdocs, and scholars at an early stage of their careers. We seek to promote scientific discussion among all participants who will fuel the future of Liquid Crystal Science in biomedical and biotechnology applications. Academic speakers are complemented by 2 industry and 2 military research lab speakers. Additionally, 5 speaker slots will be given to outstanding scientists selected from submitted poster abstracts. To further strengthen the voice of young researchers, the GRC is preceded by the GRS, catering only to students and post-docs and providing mentoring and career advice. During the GRC, young scientists will be given priority in all scientific discussions.", "keywords": [ "2019-nCoV", "Academia", "Address", "Applied Research", "Area", "Augmented Reality", "Basic Science", "Biological", "Biotechnology", "Birth", "Caring", "Cell membrane", "Collaborations", "Communities", "Complement 2", "Detection", "Diagnosis", "Discipline", "Disease", "Drug Delivery Systems", "Elastomers", "Engineering", "Environment", "Faculty", "Fostering", "Future", "Goals", "Health Status", "Human body", "Implant", "Industry", "International", "Joints", "Leadership", "Life", "Lipids", "Liquid substance", "Medical", "Membrane Lipids", "Mentors", "Military Personnel", "Mission", "Monitor", "National Institute of Biomedical Imaging and Bioengineering", "New Hampshire", "Nucleic Acids", "Oral", "Participant", "Pharmacologic Substance", "Phase", "Play", "Postdoctoral Fellow", "Prevention", "Public Health", "Recommendation", "Recording of previous events", "Reporting", "Research", "Research Personnel", "Robotics", "Role", "Science", "Scientist", "Students", "Text", "Therapeutic", "Toxin", "United States National Institutes of Health", "Universities", "Virus", "Voice", "Water", "career", "elastomeric", "fascinate", "flexibility", "frontier", "learning materials", "liquid crystal", "materials science", "meetings", "pathogen", "peer", "posters", "sensor", "social", "student participation", "symposium", "tool" ], "approved": true } }, { "type": "Grant", "id": "15932", "attributes": { "award_id": "3U24DK112340-08S1", "title": "A biochemical roadmap of exercise signal", "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": 44377, "first_name": "PADMA", "last_name": "MARUVADA", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-06-01", "end_date": "2027-05-31", "award_amount": 500000, "principal_investigator": { "id": 44378, "first_name": "Clary B", "last_name": "Clish", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 24074, "first_name": "ROBERT E", "last_name": "GERSZTEN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 771, "ror": "https://ror.org/04drvxt59", "name": "Beth Israel Deaconess Medical Center", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] } ], "awardee_organization": { "id": 1003, "ror": "", "name": "BROAD INSTITUTE, INC.", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "Exercise is an effective intervention for both the prevention and treatment of cardiometabolic diseases, but the mechanistic underpinnings of the health benefits of exercise remain incompletely defined. Recent work highlights the importance of inter-organ circuits in mediating healthful exercise responses. We identified β- aminoisobutyric acid (BAIBA) as a novel small molecule “myokine” that increases the expression of brown adipocyte-specific genes in vitro and improves glucose disposal and decreases weight gain in mice. In humans, plasma BAIBA concentrations are increased with chronic exercise and demonstrate a strong inverse association with metabolic risk factors. Further, related efforts by our group have positioned us as leaders in characterizing within- and between-tissue molecular responses to exercise and dietary interventions. These experiences, coupled with the high translational relevance of the research problem, motivated our participation in the MoTrPAC initiative. Our team was built upon existing collaborations between Duke, Harvard and the Broad Institute with complementary strengths in metabolomics and proteomics technologies and decades of experience in cardiometabolic research. To date, we have provided a deep menu of analytical tools for targeted and non-targeted metabolomics, protein profiling, and the analysis of key protein post-translational modifications. Group members have been deeply involved in the animal and pre-COVID biochemical profiling efforts, in collaborations with other Chemical Analysis Sites (CAS) and the Bioinformatics Core to harmonize workflows, and in the working groups necessary to integrate the data. We have also played key roles in associated scholarly activities and in developing the next generation of translational investigators focused on exercise science. An additional distinction of our team is the ability to integrate new findings from MoTrPAC with ongoing genomic, proteomic and metabolomic analyses in large human cohorts and other exercise studies led by our investigators. We hypothesize that integrating the metabolomic and proteomic profiles of human tissues and blood during exercise with genetics and detailed human phenotyping will provide novel insights into the interorgan circuits and within-organ responses that mediate its salutary effects. We are deeply committed to the notion that all data generated by this multi-disciplinary consortium will be made rapidly available to the scientific community.", "keywords": [ "Adipocytes", "Aminoisobutyric Acids", "Animals", "Biochemical", "Bioinformatics core", "Blood", "COVID-19", "Cardiometabolic Disease", "Chemicals", "Chronic", "Collaborations", "Communities", "Coupled", "Data", "Dietary Intervention", "Exercise", "Genes", "Genetic", "Genomics", "Goals", "Health", "Health Benefit", "Heart Diseases", "Human", "In Vitro", "Individual", "Longevity", "Mediating", "Metabolic", "Metabolic Diseases", "Molecular", "Mus", "Organ", "Phenotype", "Plasma", "Play", "Positioning Attribute", "Post-Translational Protein Processing", "Prevention", "Proteomics", "Research", "Research Personnel", "Risk Factors", "Science", "Signal Transduction", "Site", "Technology", "Therapeutic Intervention", "Tissues", "Weight Gain", "Work", "analytical tool", "cardiometabolism", "cohort", "data integration", "effective intervention", "exercise intervention", "experience", "glucose disposal", "human tissue", "improved", "insight", "member", "metabolomics", "multidisciplinary", "next generation", "novel", "novel therapeutics", "protein profiling", "response", "small molecule", "translational scientist", "working group" ], "approved": true } }, { "type": "Grant", "id": "15930", "attributes": { "award_id": "1R24AI192250-01", "title": "Repository of Monoclonal Antibodies (RoMA) against Hamster and Guinea Pig Proteins", "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": 32843, "first_name": "JOSEPH J", "last_name": "BREEN", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-07-24", "end_date": "2030-06-30", "award_amount": 835137, "principal_investigator": { "id": 44375, "first_name": "JAMES A", "last_name": "DUTY", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 44376, "first_name": "Domenico", "last_name": "Tortorella", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 3386, "ror": "", "name": "ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "Small animal models are ideal to study diverse infectious and inflammatory diseases with mice being a widely used model system due to the well-characterized immune response and availability of reagents. Yet, the drawbacks of the mouse animal model are that it does not mimic many diseases due to the lack of clinical symptoms, differences in immune activation, and non-susceptible to infection of many pathogens. In fact, ferrets, Guinea pigs, and hamsters are a more suited animal model for numerous infectious pathogens including bat coronaviruses (SARS-CoV and SARS-CoV-2), influenza virus, and respiratory syncytial virus, respectively; yet, the lack of reagents that define the immune and inflammatory responses in ferrets, Guinea pigs, and hamsters prevent their utilization to comprehensively understand disease pathology and effectiveness of therapeutics and vaccines. Thus, there is a severe reagent gap for monoclonal antibodies against immune and inflammatory markers of ferrets, Guinea pigs, and hamsters to use these animal models in infectious disease studies. The main objective of the R24 application is to create a Repository of Monoclonal Antibodies (RoMA) for use in small animal models for evaluating infectious and inflammatory disorders fulfilling a major reagent gap in the scientific community. We hypothesize that reagents that monitor the immune response in hamster and Guinea pig model systems will be widely used in infectious disease model systems to predict disease progression and effectiveness of vaccines and therapeutics in human disease. A panel of monoclonal antibodies will be generated upon completion of the following aims: Aim 1: Develop antibodies targeting hamster and guinea pig surface markers on the respective immune cells. The hamster has become an excellent model for respiratory pathogens including SARS-corona viruses, Rift Valley fever, and Clostridium difficile; while the Guinea pig animal model provides insight into numerous infection and transmission models such as influenza virus and herpesviruses. Aim 2: Identify and generate monoclonal antibodies to hamster and guinea pig immune cell activation markers. We plan to identify and generate monoclonal antibodies to activated immune cell immune markers of hamster and Guinea pigs. These activated biomarkers will consist of previously characterized human and mouse orthologs that likely function in immune regulation. We expect to generate a total of 50 monoclonal antibodies (25 anti-hamster and 25 anti-Guinea pig proteins) over the 5-year grant period that will be available to the scientific community. 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