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Pilot Effectiveness Trials for Post-Acute Interventions and Services to Optimize Longer-term Outcomes (R01 Clinical Trial Required)

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National Institutes of Health

NIMH seeks applications for pilot effectiveness projects to evaluate the preliminary effectiveness of therapeutic and service delivery interventions for the post-acute management of mental health conditions that are matched to the stage of illness in terms of both their focus (e.g., consolidating and maintaining gains from initial treatment, managing residual symptoms/impairment, preventing relapse, promoting adherence and appropriate service use) and intensity/burden. In this pilot phase of effectiveness research, the trial should be designed to evaluate the feasibility, tolerability, acceptability, safety, and potential effectiveness of the approach; to address whether the intervention engages the target(s)/mechanisms(s) that is/are presumed to underlie the intervention effects; and to obtain preliminary data needed as a pre-requisite to a larger-scale effectiveness trial (e.g., comparative effectiveness study, practical trial) designed to definitely test the effectiveness of interventions to improve post-acute outcomes. This Notice of Funding Opportunity (NOFO) supports pilot effectiveness research to evaluate the feasibility, tolerability, acceptability, safety and preliminary indications of effectiveness of post-acute phase intervention approaches and inform the design of definitive effectiveness trials. Support for fully-powered, definitive effectiveness studies focused on post-acute phase interventions is provided via the R01 currently TEMP-24813.

2028-01-07
Healthhealthcare

Free to search & build · $99 one-time to unlock the application pack · No subscription

Pilot Effectiveness Trials for Post-Acute Interventions and Services to Optimize Longer-term Outcomes (R01 Clinical Trial Required)

open

National Institutes of Health

NIMH seeks applications for pilot effectiveness projects to evaluate the preliminary effectiveness of therapeutic and service delivery interventions for the post-acute management of mental health conditions that are matched to the stage of illness in terms of both their focus (e.g., consolidating and maintaining gains from initial treatment, managing residual symptoms/impairment, preventing relapse, promoting adherence and appropriate service use) and intensity/burden. In this pilot phase of effectiveness research, the trial should be designed to evaluate the feasibility, tolerability, acceptability, safety, and potential effectiveness of the approach; to address whether the intervention engages the target(s)/mechanisms(s) that is/are presumed to underlie the intervention effects; and to obtain preliminary data needed as a pre-requisite to a larger-scale effectiveness trial (e.g., comparative effectiveness study, practical trial) designed to definitely test the effectiveness of interventions to improve post-acute outcomes. This Notice of Funding Opportunity (NOFO) supports pilot effectiveness research to evaluate the feasibility, tolerability, acceptability, safety and preliminary indications of effectiveness of post-acute phase intervention approaches and inform the design of definitive effectiveness trials. Support for fully-powered, definitive effectiveness studies focused on post-acute phase interventions is provided via the R01 currently TEMP-24813.

2028-01-07
Health

Free to search & build · $99 one-time to unlock the application pack · No subscription

Pilot Hybrid Effectiveness-Implementation Trial of a Scalable Intervention Targeting Postpartum Intrusive Thoughts

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NIMH - National Institute of Mental Health

Project Summary/Abstract Despite their impact, postpartum intrusive thoughts -- unwanted, distressing thoughts, images, and urges often about harming one’s infant -- are common yet overlooked. This can lead to distress, shame, impairment, and for some, diagnoses of depression, anxiety, or OCD; postpartum OCD affects up to 11% of mothers, and postpartum anxiety up to 18%. These diagnoses often arise from interpretation bias - the misinterpretation of one’s intrusive thoughts as dangerous, unacceptable, or predictive of harm. Postpartum mental health referrals, typically at the six-week obstetric appointment, are often ineffective since many miss this visit, non-birthing parents are left out, referral options are scarce, and by this point, most parents with intrusive thoughts have been struggling for weeks, missing a key intervention window. Even when symptoms are identified, parents face treatment barriers including time constraints, lack of childcare, and stigma. Psychoeducation has shown promise for perinatal populations and has potential for targeting interpretation bias by reducing threatening misinterpretations of the thoughts through normalization, increasing disclosure, and reducing shame. Digital Single Session Interventions (SSIs) provide an innovative dissemination strategy; they are self-guided programs delivered in one encounter. There is a critical need for scalable, sustainable interventions that target cognitive vulnerabilities driving postpartum intrusive thoughts. Interventions developed by the study team are compelling but require adaptation to optimize scalability, sustainability, and relevance for new parents at risk. We propose a type 1 hybrid effectiveness-implementation trial to adapt and test an SSI targeting misinterpretation of postpartum intrusive thoughts, and to explore implementation and sustainability. Our central hypothesis is the SSI will reduce interpretation bias and improve outcomes for clinically significant postpartum intrusive thoughts, parent anxiety, parent-infant relationships, and psychosocial functioning. We will also assess preliminary implementation outcomes (e.g., reach, acceptability) to inform long-term sustainability. First, we will develop a personalized digital SSI by adapting existing evidence-based interventions to address postpartum interpretation bias, in collaboration with an Advisory Board of patients and expert clinicians. We will then test this SSI in an open trial with an iterative case series design (N = 24) for new parents with distressing intrusive thoughts, evaluating feasibility and acceptability with continuous refinement. Second, we will conduct a pilot RCT (target N = 80) for a preliminary effectiveness test comparing the SSI vs. waitlist in reducing intrusive thoughts severity. Third, we will explore key implementation outcomes to inform sustainability, interviewing stakeholders and collecting surveys from users to identify barriers and facilitators to sustainable implementation across the digital resources that will deliver this SSI to new parents. Achievement of these aims will support a future fully-powered hybrid type 1 trial. This multidisciplinary team led by an Early Stage Investigator will deliver a brief, sustainable intervention to improve public health for new parents.

Up to $410K
2029-06-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Pilot PEACE: A pilot hybrid optimization-implementation trial of strategies to protect and promote children's mental health amid post-separation/divorce interparental conflict

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NIMH - National Institute of Mental Health

Project Summary/Abstract This proposal addresses the significant public health concern of destructive interparental conflict (IPC), which is strongly associated with a range of adverse outcomes for children, including mental health disorders, substance use, academic challenges, risky behaviors, and suicidality. These effects are particularly pronounced in the context of parental separation and divorce, which impacts over half of U.S. children by age 15. Family courts frequently interact with families experiencing high levels of IPC, making them critical settings for implementing interventions aimed at reducing these negative outcomes. However, most parenting programs mandated or referred by family courts are not evidence-based, leaving a critical gap in effective support for families experiencing high IPC. This pilot study aims to address this gap by evaluating the feasibility, acceptability, and preliminary impact of intervention components designed to mitigate the effects of IPC on children’s mental health. Using the Multiphase Optimization Strategy (MOST) framework, we will pilot a highly efficient experimental trial design (N = 96) to gather preliminary data on five candidate intervention components: high- versus low-intensity delivery of IPC reduction approaches, inclusion of constructive IPC skills, inclusion of IPC resolution skills, inclusion of skills for repairing parent-child relationships after IPC events, and high- versus low-intensity home practice support. These components were selected based on empirical support for their potential to reduce child mental health problems. The findings from this pilot study will inform the design of a future fully powered trial to identify the most effective and scalable combination of components that can be delivered within the practical constraints of family courts. In Aim 1, we will assess the feasibility of recruitment, randomization, and trial procedures, and the acceptability of intervention components among parents and family courts. Quantitative and qualitative feedback will guide refinements to the components and trial design. In Aim 2, we will explore the components’ preliminary impact on children’s mental health using validated measures and explore hypothesized mechanisms of action, including quality of parents’ home practice and children’s emotional security. These findings will help refine the intervention’s conceptual model. In Aim 3, we will identify potential implementation barriers and facilitators by conducting qualitative interviews with judges and court administrators from three family courts of varying resources and sizes. Using the Consolidated Framework for Implementation Research (CFIR) and the Expert Recommendations for Implementing Change (ERIC), we will develop an Implementation Research Logic Model (IRLM) to guide scale-up planning for the fully powered trial. This pilot study will lay the foundation for a scalable and effective intervention addressing IPC, leveraging family courts as a key implementation context. The future fully powered trial will advance the development of effective, evidence-based parenting programs that improve children’s mental health outcomes in the aftermath of parental separation/divorce.

Up to $387K
2029-03-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Placement and Coordination Program

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Administration for Children and Families - ORR

The Office of Refugee Resettlement (ORR) within the Administration for Children and Families (ACF), invites eligible applicants to submit applications to administer the Placement and Coordination (PC) program. ORR will provide funding to diversify providers of PC services through awards to eligible organizations not currently implementing the Program of Initial Resettlement (PIR). New providers will strengthen the national resettlement framework by contributing unique innovations and perspectives.PC providers will be responsible for administering services including the Program of Initial Resettlement (PIR) and Intensive Case Management (ICM) through one or more local service providers. Through PIR, PC providers will review refugee case profiles assigned by ORR, conduct outreach to identified U.S. ties, and confirm case placement locations. PC providers will either serve cases directly or place them with local resettlement providers (LRPs) in their network. After the refugee arrives, the LRP will assume responsibility for providing PIR services for 30 to 90 days after arrival in the United States, based on self-sufficiency needs of the case. Examples of services include airport pickup upon initial arrival, securing and furnishing housing, benefits applications, referrals, provision of cultural orientation, and provision of direct assistance. Through ICM, providers will serve individuals with significant vulnerabilities that create barriers to assimilation and self-sufficiency for a service period of six to 12 months, or 12 to 24 months for individuals with long-term physical or mental health conditions or disabilities. Examples of services include regular case management discussions, psychosocial support, and connections to external sources of assistance.

$1M – $5M
2026-09-17
income_security_and_social_servicesArts & Culture

Free to search & build · $99 one-time to unlock the application pack · No subscription

Placement and Coordination Program

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Administration for Children and Families - ORR

This NOFO is modified. Changes are made to Step 1: Review the Opportunity and Step 2: Get Ready to Apply. The disqualifying factors section has been updated to clarify that applications from organizations currently funded by ORR to support Program of Initial Resettlement services will be disqualified, including organizations receiving PIR funding through subaward. The webinar description has been updated to include instructions on submitting questions in advance of the webinar. The Office of Refugee Resettlement (ORR) within the Administration for Children and Families (ACF), invites eligible applicants to submit applications to administer the Placement and Coordination (PC) program. ORR will provide funding to diversify providers of PC services through awards to eligible organizations not currently implementing the Program of Initial Resettlement (PIR). New providers will strengthen the national resettlement framework by contributing unique innovations and perspectives.PC providers will be responsible for administering services including the Program of Initial Resettlement (PIR) and Intensive Case Management (ICM) through one or more local service providers. Through PIR, PC providers will review refugee case profiles assigned by ORR, conduct outreach to identified U.S. ties, and confirm case placement locations. PC providers will either serve cases directly or place them with local resettlement providers (LRPs) in their network. After the refugee arrives, the LRP will assume responsibility for providing PIR services for 30 to 90 days after arrival in the United States, based on self-sufficiency needs of the case. Examples of services include airport pickup upon initial arrival, securing and furnishing housing, benefits applications, referrals, provision of cultural orientation, and provision of direct assistance. Through ICM, providers will serve individuals with significant vulnerabilities that create barriers to assimilation and self-sufficiency for a service period of six to 12 months, or 12 to 24 months for individuals with long-term physical or mental health conditions or disabilities. Examples of services include regular case management discussions, psychosocial support, and connections to external sources of assistance.

$1M – $5M
2026-09-17
social services

Free to search & build · $99 one-time to unlock the application pack · No subscription

Planning for implementation of Long-Acting Injectables in Status-neutral HIV primary care (the PLANS study)

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NIMH - National Institute of Mental Health

Long-acting injectable HIV antiretroviral medications (LAIs) are a breakthrough in HIV treatment and prevention, alleviate daily medication challenges, and are extremely efficacious. While LAIs have the potential to transform and improve health outcomes for people living with HIV or with vulnerability to HIV infection, clinical implementation of LAIs has been suboptimal, including for populations most impacted by HIV. Without evidence-based implementation models that address systems level determinants, the potential for LAIs to help end the HIV epidemic is unlikely to be realized. One approach to meaningfully address health system barriers is by leveraging existing, organically developed efforts designed by system insiders: pharmacists and providers in federally qualified health centers (FQHCs) in the Bronx, NY (a high-priority jurisdiction with >2% HIV prevalence). Currently, clinical pharmacists have organically developed ad hoc implementation efforts where they play an integral role in LAI delivery, including patient counseling, coordination, procurement, cost coverage, delivery, with similar workflows for HIV prevention and treatment using LAIs (i.e., a status-neutral (SN) model). These efforts show promise and warrant systematic study and protocolization to guide potential replication and scale-up. Using rigorous implementation science methods and leveraging expertise from committed multidisciplinary stakeholders (including pharmacists, patients, providers, nurses, administrators, and researchers), this R21 study will develop, formalize, and pilot an embedded SN-LAI implementation model: “Planning for implementation of Long-Acting iNjectables in Status-neutral HIV primary care FQHCs (the PLANS study)”. We will first identify context-specific determinants of SN-LAI implementation and systematically identify existing or perceived barriers and facilitators (Aim1a) using innovative systems journey mapping interviews with patients and key informants. We will use these data to systematically develop, protocolize, and refine a package of SN-LAI implementation strategies with stakeholders (Aim 1b). In a test of concept, we will then pilot strategies for acceptability, feasibility, appropriateness, fidelity, and explore indicators of strategy effectiveness (Aim 2) in a Bronx FQHC to understand the potential of this organically- driven, multidisciplinary approach to overcome system-level barriers and enhance status-neutral LAI implementation.

Up to $462K
2028-05-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Post-overdose treatment gaps and prevention opportunities in a national population of high-risk youth

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NIDA - National Institute on Drug Abuse

PROJECT SUMMARY Drug overdose is now a leading cause of death among U.S. adolescents and young adults, rising substantially in the past decade due to the proliferation of highly lethal fentanyl alongside other shifts in drug involvement. In parallel, nonfatal overdoses have risen in adolescents and young adults. Nonfatal overdoses greatly increase the risk of repeat overdose and subsequent death and have lasting consequences, especially life-threatening or near-fatal overdose events that may indicate greater need for behavioral health treatment and higher risk of future morbidity and mortality. Thus, nonfatal overdoses treated in acute care settings represent critical opportunities for intervention; however, limited data are available to inform discharge planning, with existing studies indicating an unmet need to improve connections to behavioral health treatment. Our overall goal is to generate evidence that can be used to tailor effective prevention and treatment strategies in the high-risk population of youth with a nonfatal drug overdose. To accomplish this goal, we will build on current work by the investigative team to study a critical developmental window from adolescence to young adulthood when the prevalence of illicit substance involvement in overdoes increases, risk factors may shift, and treatment options widen. We will capture a range of overdose types, including those that are nonfatal, near-fatal, and fatal; involvement of multiple illicit and commonly misused drugs as well as polydrug involvement; and events with suicidal intent in addition to unintentional overdose to improve understanding of the complex relationship of substance use and co-occurring mental illness. An extended study period from 2016-2025 will detect trends related to an evolving drug environment and changing levels of risk, and data linkages will integrate individual and clinically relevant predictors of overdose and death with health systems and other structural factors known to influence treatment delivery and health outcomes. We will focus on a sample of adolescents and young adults aged 12-29 years with initial drug overdoses treated in emergency department or inpatient settings. Specific aims are to: (1) assess trends in near-fatal and fatal overdose events from 2016-2025 by overdose type (drugs involved, intent) and age group (early/late adolescence, emerging/early adulthood); (2) identify behavioral health treatment trajectories in the six months after nonfatal overdose and differences by overdose type; and (3) quantify the one-year incidence of repeat overdose and all-cause mortality and develop a predictive model to ascertain modifiable risk factors contributing to these adverse outcomes. To achieve the aims, the study team will leverage national longitudinal Medicaid claims data (2016-2025) comprising an estimated 678,000 index overdose events in youth aged 12-29 years. Individual-level Medicaid data will further be linked with mortality, health system, and population data for a valid and timely approach to yield novel, generalizable, and up-to-date evidence on sentinel events and critical opportunities for intervention. Findings will fill a significant gap in research that is required to successfully target future overdose prevention and treatment strategies for adolescents and young adults.

Up to $515K
2031-04-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Postpartum Care in the NICU (PeliCaN), a cluster RCT of doula support and healthcare navigation

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NICHD - Eunice Kennedy Shriver National Institute of Child Health and Human Development

The largest contributors to maternal postpartum mortality are mental health and cardiovascular conditions and women that give birth prematurely are at the highest risk. To prevent maternal deaths, the American Academy of Pediatrics and American College of Obstetricians and Gynecologists have clear recommendations focused on screening for depression and treatment if necessary, and monitoring and management of high blood pressure in the first weeks after birth. Of the ~100,000 mothers that give birth annually to preterm infants <34 weeks, more than 40,000 do not receive recommended postpartum care because they are engaged in the care of their sick newborns in the neonatal intensive care unit (NICU), typically far away from home and separate from their own obstetric clinicians’ offices for weeks to months. Evidence is mounting that engaging doulas, peers with lived experience that provide emotional and logistical support for mothers, is associated with improved perinatal health care the routine antepartum, intrapartum and postpartum domains, but there have been no investigations of doulas in the NICU. Our team conducted a 1:1 randomized control pilot randomized controlled trial (RCT) of doulas in Postpartum Care in the NICU (PeliCaN) in a single center and found significant improvement in postpartum care receipt by 12 weeks among intervention (doula care) compared to control. Building on our pilot work, we now propose a Type 1 hybrid effectiveness- implementation, stepped-wedge cluster RCT in 10 metro-Philadelphia NICUs to rigorously test the effectiveness of doulas in promoting receipt of evidenced-based postpartum care to improve mental health and postpartum blood pressure – outcomes strongly associated with postpartum morbidity and mortality. We will analyze individual-level effectiveness outcomes for 900 mother- infant dyads (450 intervention, 450 usual care). In Aim 1, we will examine primary effectiveness of PeliCaN during NICU stay, to improve maternal adherence to recommended postpartum health screenings for depression and high blood pressure (BP) (or adherence to BP management if directed by obstetric clinician for existing hypertension), as well as attendance at a postpartum visit with an obstetric clinician by 12 weeks. In Aim 2, we will examine secondary effectiveness of PeliCaN to improve health outcomes at 6 months by decreasing the proportion of mothers’ screening positive for depression symptoms and increasing the proportion of mothers with hypertensive disorders attending a primary care physician or cardiologist for blood pressure management. In Aim 3, we will examine implementation outcomes of feasibility, acceptability, and fidelity of this innovative doula-driven healthcare delivery model in the NICU.

Up to $795K
2031-02-28
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Precise Functional Characterization of the Developing Infant Brain using a Clinical 7T MRI Scanner

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NIMH - National Institute of Mental Health

PROJECT SUMMARY / ABSTRACT It has been hypothesized that some neurodevelopmental disabilities may have roots in early development. This early period is one in which our knowledge regarding brain functional organization is limited, while at the same time is also believed to be critical for identifying deviations from normal developmental trajectories. Therefore, a reliable and precise functional characterization of the human brain during the first year of life could be indispensable in the effort to identify individuals who are likely to show atypical developmental trajectories and would be candidates for early intervention, which is thought to be most effective during this early period where brain plasticity is high. To date, the quantitative neuroimaging data that has been generated during this early developmental period has been limited due to the many technical challenges in obtaining high quality data in this cohort. This has resulted in sub-optimal acquisition and post-processing strategies, which are not catered towards the infant brain, but rather simply adopted from adult studies. The FDA has recently approved 7T MRI for clinical use, however, thus far it has not been used in the U.S. for studying the infant brain due to the lack of vendor support and safety guidelines specific to infants. Our preliminary data demonstrate the potential for 7T MRI to advance developmental neuroimaging to levels that could allow researchers to uncover individual specific developmental trajectories, including atypical trajectories that manifest during these early months. With the proposed techniques we will achieve SNR levels that allow us to push the spatial resolution, while not sacrificing sensitivity, of functional images in the infant to voxel sizes that are 2-4 times smaller compared to conventional 3T approaches, which use spatial resolutions that are not proportional to the smaller infant brain. We will use these technological advances to follow developmental trajectories of infants within their first year of life, including infants with agenesis of the corpus callosum, a group at high risk for atypical developmental outcomes. Our unique team of inter-disciplinary investigators that have expertise in MRI safety, MRI protocol development and optimization, and in developmental research, are uniquely positioned to carry out the aims. Further, we will share our insights, including infant appropriate safety limits, with the growing community of 7T sites, to provide a template for safe and optimal scanning of infants at this high field.

Up to $615K
2031-05-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Precision Digital Health Support for Mental Health in Early Childhood: A Randomized, Controlled Trial in Childcare Centers

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NICHD - Eunice Kennedy Shriver National Institute of Child Health and Human Development

Background: Early academic success and positive mental health are critical for all children, because they are linked to long-term outcomes such as high school graduation, lower criminal involvement, lower likelihood of teen pregnancy, and higher earnings. While community childcare centers play a vital role in supporting early childhood education and psychosocial development for young children, their teachers often lack access to evidence-based resources, including traditional Early Childhood Mental Health Consultation (ECMHC) models. To address this gap, we developed Jump Start on the Go (JS Go)—a hybrid ECMHC intervention that delivers an AI-enhanced mobile application with human consultation. Methods: JS Go is based on our successful R01- funded Jump Start ECMHC program. JS Go, developed in English and Spanish, was designed using a community-based participatory research approach to ensure the intervention is relevant and culturally appropriate for all populations it serves. In a pilot randomized controlled trial (N=114 across six centers, three Jump Start vs three JS Go), JS Go demonstrated high feasibility, usability, and acceptability. The trial showed similar improvements in teacher-child interactions, reduced problem behaviors, and increased child prosocial skills, for JS and JS Go. User feedback identified key areas for intervention adaptation that were iteratively incorporated. Building on this work, we propose a Type 1 hybrid effectiveness-implementation trial (N=480 children, across 24 childcare centers) to rigorously evaluate JS Go’s impact on children’s psychosocial functioning, while also enhancing teacher skills and childcare center capacity to sustain effective mental health support. Using a 3-arm cluster-randomized controlled design, guided by the RE-AIM framework, we will compare (1) JS Go (AI-enhanced digital ECMHC + human consultation), to (2) traditional JS (human consultation only), and (3) attention control (digital + human consultation obesity prevention curriculum). Our hypotheses are: (1) children in both JS Go and JS arms will show greater improvement in psychosocial outcomes than the control arm; and (2) there will be no significant difference between JS Go and JS arms. In Aim 1, we will examine JS Go’s impact on child psychosocial outcomes over 24 months. In Aim 2, we will evaluate how teacher skills mediate child outcomes, and how family characteristics moderate these mechanisms. In Aim 3, we will Identify center-level implementation factors that contribute to sustained improvements in child psychosocial functioning. Our mixed-methods design will explore implementation barriers and facilitators to promote scalability. Impact: This project fills a critical gap in preventive mental health tools for childcare centers by offering a scalable and accessible hybrid mobile health intervention. If effective, JS Go could reduce early childhood behavioral challenges and improve social-emotional outcomes for children during the most formative years of development. By strengthening the daily childcare center environment where children grow and learn, this approach has the potential to create lasting improvements in academic success and long-term mental health outcomes.

Up to $650K
2031-05-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Precision Medicine for Gulf War Veterans: Integrating Pharmacogenetic Testing into Clinical Practice

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NIH

Significance to VA: Adverse drug reactions (ADRs), the harmful unintended reactions resulting from the use of medications, can result in hospital visits, or even death. Polypharmacy is a known risk factor for ADRs. This is especially true for Gulf War Veterans (GWV); one fifth (21.2%) of GWV experience central nervous system (CNS)-active polypharmacy and 39.6% of these GWV experience an ADR. This is likely because ~30% of GWV meet criteria for Gulf War Illness (GWI). Two enzymes, CYP2D6 and CYP2C19, metabolize many of the drugs used to treat GWI, contribute to ADRs. Precision medicine, a medical approach that considers individual differences in genes, environment, and lifestyle, can improve treatment outcomes. This approach uses pharmacogenetic (PGx) testing, a method that examines how one's DNA affects the response to medications. To reduce risk of harm in GWV, prescribers could optimize pharmacologic treatment via precision medicine. This application is highly relevant to VA and Health Systems Research (HSR) priorities including: 1) The Commander John Scott Hannon Veterans Mental Health Care Improvement Act that requires the VA to implement precision mental health care; 2) suicide prevention; 3) quality and safety of health care; and 4) the Promise to Address Comprehensive Toxics (PACT) Act. This study will improve our understanding of the risk factors of ADRs among GWV, a result that will promote gene-informed prescribing which will in turn save lives, improve a patient's function and quality of life, and reduce hospitalizations. Innovation and Impact: Currently, there is growing evidence supporting the use of PGx testing for clinically relevant outcomes. This CDA-2 will provide observational evidence of the potential benefit of PGx testing to prevent ADRs in a high risk, high priority cohort within the VHA. It will also uncover barriers and facilitators of enhanced implementation of the VHA's PGx testing program; and help to clarify the pathway for the promotion of PGx testing in GWV by the creation [and pilot testing] of a clinical workflow that will identify [GWV with CNS-active polypharmacy] who may benefit from PGx testing, thus improving medication safety and selection. Specific Aims: Aim 1: Show that CNS-active polypharmacy (>3 medications) and other pharmacotherapy regimen characteristics are associated with ADRs among GWV who are connected to VHA clinical care from the Cooperative Studies Program (CSP) 2006/Million Veteran Program (MVP) 029 dataset, “Genomics of Gulf War Illness.” Aim 2: Demonstrate that genetic variants of CYP2D6/CYP2C19 moderate the relationship between CNS-active polypharmacy and ADRs, underscoring the potential to improve care with PGx testing. Aim 3: Partner with the National Pharmacogenomics Program (NPP) to design [and pilot test] a clinical workflow aimed at integrating PGx testing into clinical practice for [GWV with CNS-active polypharmacy.] Methodology: In Aim 1, we will conduct multivariable logistic regressions from GWV participants in CSP 2006/MVP 029 to examine the associations between CNS-active polypharmacy, other patient and pharmacotherapy regimen characteristics, and ADRs. In Aim 2, using the CSP 2006/MVP 029 dataset, we will perform moderation modeling to explore the impact that PGx tested pharmacogenes could have on ADRs among GWV with CNS-active polypharmacy who were newly exposed to a CNS-active medication. In Aim 3a, we will conduct semi-structured interviews of healthcare providers who evaluate and manage Veterans with documented [CNS-active] polypharmacy, including GWV, and who can order PGx tests to identify opportunities to improve the clinical impact of PGx testing. In Aim 3b, informed by combined results from prior Aims, we will use the NPP process of clinical workflow development to develop and refine a clinical workflow for [GWV with CNS-active polypharmacy; and in Aim 3c, we will pilot test the clinical workflow.] Path to Translation/Implementation: We will submit research proposals to further study the impact of PGx testing has in [both GWV and in all Veterans] and; support NPP's efforts to promote PGx testing in clinic.

2030-12-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Precision Metabolic Risk Stratification in Depression via Multi-Omics and EHR

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NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases

Major depressive disorder (MDD) represents a critical but overlooked driver of type 2 diabetes (T2D) risk, with studies showing 60% increased T2D incidence among individuals with MDD. This risk is further amplified by antidepressants, particularly selective serotonin reuptake inhibitors (SSRIs), which carry largely unmonitored metabolic effects in routine psychiatric care. Despite this dual burden, three interconnected translational gaps prevent effective T2D prevention in this high-risk population. First, while polygenic and metabolomic risk scores effectively predict T2D in general populations, they remain unvalidated in psychiatric populations. Second, SSRIs lack systematic metabolic monitoring despite emerging evidence of risk. Third, no clinically deployable tools exist to integrate multi-omics insights with clinical data, leaving clinicians without evidence-based frameworks for T2D risk stratification at the critical point of MDD diagnosis. To address these gaps, Dr. Lee will leverage large-scale health system biobanks to develop a comprehensive framework for T2D risk assessment in psychiatric populations. Her approach recognizes that T2D risk in MDD patients originates from two distinct sources: (i) baseline biological susceptibility and (ii) medication-induced metabolic sensitivity. Aim 1 will validate multi-omics risk scores, including pathway-specific polygenic scores and metabolomic signatures, in SSRI-naïve MDD patients to establish baseline susceptibility for T2D. Aim 2 will characterize SSRI-induced metabolic sensitivity by tracking early biochemical changes within the first year of MDD diagnosis, identifying biomarkers particularly sensitive to SSRI exposure. Aim 3 will integrate these multimodal insights into transparent, clinically implementable risk stratification models, with external validation ensuring generalizability across distinct healthcare settings. This systematic approach will transform T2D prevention by providing evidence-based tools for metabolic risk assessment at MDD diagnosis, establishing the scientific foundation for monitoring guidelines and precision prevention strategies in psychiatric care. Dr. Lee's expertise in epidemiology, causal inference, and statistical genetics uniquely positions her to bridge psychiatric and metabolic medicine. Her comprehensive training plan integrates coursework across endocrinology, metabolic genetics, precision medicine, and biomedical informatics, supported by a multidisciplinary mentorship team spanning these critical domains. Primary mentor Dr. Jordan Smoller (precision medicine), co-mentor Dr. Miriam Udler (diabetes genetics), and collaborators Drs. Melina Claussnitzer (metabolic genomics), Arjun Manrai (biomedical informatics), and Lea Davis (psychiatric genetics) provide expertise across the full translational spectrum from genomic discovery to clinical implementation. This K01 will establish Dr. Lee as an independent investigator at the intersection of metabolic and mental health, advancing precision prevention strategies for T2D this high-risk population.

Up to $157K
2030-03-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Precision Targeting of Hippocampal Subfields with AAVs

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NIMH - National Institute of Mental Health

In recent decades, we have gained a deep understanding of brain function in health and disease with the advent of techniques relying on genetic manipulations such as opto- and chemogenetics. These methods allow the isolated investigation of well-delineated cell populations. Although the hippocampus is one of the most extensively studied brain regions, research progress has been severely hindered by the lack of genetic access to hippocampal subfields, thereby restricting the applicability of these trailblazing methodologies. Several adeno- associated virus (AAV) vectors utilizing neuron-type-specific regulatory transcriptional sequences (enhancer- AAVs) were developed recently. We propose to develop hippocampal cell type-specific enhancer-AAV viruses for highly efficient and convenient targeting of hippocampal excitatory cell types by evaluating the potential of several candidate enhancers for neuron-type-specific targeting in the hippocampus using a publicly available hippocampal RNA sequencing (RNA-seq) dataset. First, we will develop enhancer-AAVs for selective targeting of dentate gyrus granule cells. Our preliminary results show highly specific granule cell labeling, which we will leverage to develop cell type-specific optogenetic and chemogenetic virus variants. Second, we will expand these efforts to other hippocampal excitatory cell types: CA3, CA2, and CA1 pyramidal cells and hilar mossy cells. The development of these selective methods will allow the research community to gain unprecedented insight into hippocampal function in healthy and pathophysiological conditions.

Up to $430K
2028-03-14
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Preclinical Assays of Hippocampal-Prefrontal Cortical Circuit Engagement for Application in Therapeutic Development 

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NIMH - National Institute of Mental Health

TITLE: Preclinical Assays of Hippocampal-Prefrontal Cortical Circuit Engagement for Application in Therapeutic Development FOA type: PAR-19-289: Abstract: The high failure rate of translating discovery science to positive clinical outcomes in the treatment of psychiatric diseases demonstrates the necessity of improving the efficiency and rigor of the therapeutic development pipeline. To this end, the critical importance of advancing the discovery of in vivo physiological and behavioral measures of the engagement of specific circuits for normal cognitive function has been acknowledged across funding initiatives. The hippocampus (HPC)-prefrontal cortical (PFC) circuit is critical for affective processing as well as higher cognitive functions and vulnerable in a number of mental health disorders. Although disrupted functional connectivity in the HPC-PFC circuit is a common feature of anxiety, bipolar disorder, schizophrenia, and autism, how local cellular interactions within this circuit manifest as large-scale temporal coordination to support higher cognitive functions remains unknown. Addressing this fundamental gap in our knowledge will establish a foundation for using circuit-based models for therapeutic target discovery and screening tools of novel drug efficacy. The long-term goal of this proposal, in line with the Funding Opportunity Announcement (PAR-19-289), is to enhance the therapeutic development pipeline for mental illness treatment by optimizing, evaluating, and mechanistically testing neurophysiological and behavioral measures of circuit engagement. The primary objective of this proposal, which is the first step towards achieving our goal, is to relate behavioral performance on the rodent analog on the Paired Associates Learning task (PAL), part of human Cambridge Neuropsychological Test Automated Batteries [CANTAB] assessment, and surface EEG recordings to invasive neurophysiological measures of neural coordination in the HPC-PFC circuit. Through an innovative series of experiments that integrate in vivo neurophysiological local field potential (LFP) recordings, circuit manipulation, surface EEG, and behavior, we will optimize, evaluate and mechanistically test novel noninvasive biomarkers of HPC-PFC circuit engagement by pursuing the following specific aims: 1) Optimize behavioral and non-invasive EEG biomarkers for inferring HPC-PFC circuit engagement and temporal coordination, 2) Evaluation of behavioral and non-invasive EEG biomarkers for determining HPC-PFC circuit engagement through pharmacological manipulation, and 3) Mechanistically test HPC-PFC projections as a driver of surface EEG organization. The proposed research is innovative because it integrates a clinically relevant behavioral task, designed to be analogous to human cognitive assessments, with surface EEG measures that translate across mammals. This will enable the optimization, evaluation, and testing of novel and translatable measures of HPC-PFC circuit engagement in the context of higher cognition and global neural organization. The significance of this contribution will be to provide novel diagnostic tools that can be used to enhance the therapeutic development pipeline for treating mental illness.

Up to $557K
2027-06-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Prediction of Risk and Resilience in Psychosis and Bipolar Spectrum Disorders: A Translational Multimodal Study

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NIMH - National Institute of Mental Health

This K99/R00 award will position the candidate to become an independent clinical researcher with expertise in individualized novel phenotyping and prediction of risk and resilience to psychosis and bipolar spectrum disorders (PBSD). Background. PBSD are among the most disabling conditions worldwide, evidenced by poor quality of life and premature mortality. These disorders demonstrate pluripotentiality and heterotypic continuity across clinical, cognitive, and neural phenotypes. The ability to predict transdiagnostic functional outcomes is critical for implementing precision-based interventions. Despite advances in identifying shared risk factors and pathophysiological mechanisms, translating research findings into clinical practice remains a challenge. Specific Aims. This project synthesizes data from NIMH-sponsored clinical high-risk (CHR) cohort, the North American Prodrome Longitudinal Study 2 and 3 (NAPLS-2, NAPLS-3) and Accelerating Medical Partnerships – Schizophrenia (AMP-SCZ), and translates empirical findings to electronic health records (EHR). Aim 1.1 will leverage the NAPLS cohorts to identify novel combinations of demographic, social determinants of health (SDOH), clinical, cognitive, and biological factors associated with risk, remission, and resilience using machine learning. Aim 1.2 will externally validate these models in AMP-SCZ and investigate the predictive power of digital phenotyping measures. Aim 2.1 will apply temporal deep learning and explainable artificial intelligence (XAI) to test these predictive models and align CHR variables with unique XAI-derived common data elements in the demographically-diverse Epic EHR using a longitudinal retrospective design. Aim 2.2 will design a clinician-facing nomogram for future deployment as an automated real-time predictor of PBSD as preparation for an R01 application. Training. The candidate will achieve these goals through a resource-rich institutional environment and cohesive training plan in: (1) PBSD etiology and course, including SDOH and immunological biomarkers; (2) advanced statistical modeling and machine learning techniques; and (3) optimization of EHR tools and registries. This training will support the development of an independent research program integrating novel digital and EHR phenotyping with clinical practice. Mentorship. The candidate will be supported by an expert interdisciplinary team: Robert Bilder, Ph.D. (primary mentor), Carrie Bearden, Ph.D. (co-mentor), David Miklowitz, Ph.D. (co-mentor), Steven Cole, Ph.D. (consultant), and Douglas Bell, Ph.D. (consultant). Impact. This project directly aligns with the NIMH’s Strategic Goals related to the pressing need to improve assessment platforms within healthcare to screen, detect, and treat mental illnesses; optimizing real-world data collection systems with computation modeling; evaluating the role of social determinants of health in the onset and course of mental illness; and developing decision-support tools for interventions and stepped care. The research outcome will develop innovative methods to prospectively identify individuals likely to demonstrate risk, remission, or resilience, enabling real-time individual- and population-level detection and interventions.

Up to $117K
2028-04-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

PREFER-PrEP: Preference-informed Strategies to Optimize PrEP Persistence

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NIMH - National Institute of Mental Health

Modified Project Summary/Abstract Section More than 50% of people receiving HIV pre-exposure prophylaxis (PrEP) discontinue PrEP within 6 -12 months of initiation partly due to social and structural barriers, resulting in an unacceptable rate of new infections disproportionately affecting communities with less access to PrEP. While some may appropriately discontinue based on lifestyle changes, HIV seroconversion among those who discontinue is high, indicating premature discontinuation or lack of timely re-engagement in PrEP care. Despite identified barriers to PrEP persistence (encompassing retention and adherence), effective implementation strategies to support persistence are lacking compared to other steps of the HIV prevention continuum such as linkage and uptake. A greater understanding of patient preferences about PrEP persistence and re-engagement, with a focus on the factors most relevant to urban vs. rural clinics, is critical to creating innovative strategies to end the HIV epidemic. This research applies multidisciplinary methods to design and pilot-test preference-informed implementation strategies to improve PrEP persistence in urban and rural settings in Missouri, an Ending the HIV Epidemic priority state due to the burden of both urban and rural epidemics. This career development award will provide Dr. Aditi Ramakrishnan with the mentored training and research expertise to launch her career as an independent clinician-investigator leading the 1) design of preference-informed and community-engaged implementation strategies and 2) rigorous testing through implementation trials in urban and rural contexts. To achieve this goal, Dr. Ramakrishnan has assembled an expert mentoring team and proposed an impactful training plan to develop her skills in 1) stated preference methods for implementation science, 2) human-centered design and community-engaged research methods, and 3) implementation trial design. These training objectives complement a research study with the following Specific Aims: 1) Identify patient and provider preferences for HIV prevention strategies supporting persistence and re-engagement through a discrete choice experiment, 2) Design a multicomponent strategy, PREFER-PrEP, to improve persistence and re-engagement among individuals with ongoing indications for PrEP using human-centered design principles, and 3) Assess implementation outcomes (e.g., acceptability) and persistence (e.g., retention, adherence) of the PREFER-PrEP prototype. This study will leverage robust community-academic partnerships across urban and rural Missouri and provide preliminary data for an R01 application to test the PREFER-PrEP strategy through a Type 3 hybrid effectiveness-implementation cluster randomized controlled trial to optimize HIV prevention services. This career development award training, mentorship, and research, within the rich environment of Washington University in St. Louis School of Medicine, will position Dr. Ramakrishnan to independently lead the design and testing of preference-informed, community-engaged implementation strategies and interventions to improve HIV prevention in priority regions.

Up to $787K
2030-04-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

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