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Developing robust zero-shot AI models for anti-aging antibody design

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NIA - National Institute on Aging

Project Summary Anti-aging antibody research, including strategies targeting interleukins and other antigens, shows promise in rejuvenating the immune system, improving metabolic functions, and extending healthy lifespans. AI-driven platforms are revolutionizing antibody development by accelerating affinity maturation and optimizing developability properties, enabling simultaneous optimization of multiple characteristics. These advancements could lead to more effective treatments for age-related diseases and a significantly improved quality of life for the growing aging population. However, zero-shot predictions for antibody affinities using pretrained models without additional target-specific data remain challenging. In this project, we propose a new strategy to address this challenge by generating diverse antibody-antigen interactions at an unprecedented scale (Aim 1) and training new AI models using these generated data in combination with data collected from literature and public databases (Aim 2). We will rigorously evaluate the performance of the new models and benchmark against the state-of-the-art methods. We will test the generality of the new models on a diverse set of antigens and experimentally validate the prediction accuracy (Aim 3). We will apply the models to identify new antibodies against new therapeutic targets associated with ageing or age-related diseases. Once complete, the proposed research will provide a powerful tool for accelerating antibody discovery and optimization as well as new antibody candidates for anti-aging treament.

Up to $615K
2031-01-31
health research

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

Development of a model selection method for population pharmacokinetics analysis by deep-learning based reinforcement learning

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Food and Drug Administration

For generic drug development, population pharmacokinetics (popPK) analysis is a critical part of the emerging technology of model-based bioequivalence (BE) analysis. PopPK models provide support for generalizing the conclusion of BE to groups that were not included in a BE study. The popPK model selection is essentially a multiple-objectives/variables optimization problem. Recent years have witnessed the overwhelming success of the reinforcement learning (RL) approaches in addressing optimization problem. Thus, the objective of this project is to develop a model selection method for the popPK analysis using the deep-learning based RL algorithm. Specific Aim 1: Develop a model selection method using a deep-learning based RL algorithm. A thorough survey should be conducted to gain a good understanding of the current state of the art for deep-learning based RL algorithms and their applications. The most appropriate algorithm/pipeline should be adopted to develop the model selection method. Specific Aim 2: Design simulations reflecting different scenarios of PK data, such as independent/correlated covariates, simple/complex (e.g., multiple peaks) time-concentration profiles and sparse-sampling design. The simulated datasets should be used to conduct systematic performance checks. Specific Aim 3: Identify proper metrics for performance evaluation. The selected metrics should be unbiased and mathematically/statistically meaningful. Specific Aim 4: Conduct performance evaluation. The developed model selection method and at least a stepwise regression and a genetic algorithm-based approach should be applied to the simulated datasets to perform popPK model building. The selected performance evaluation metrics should be used to compare the performance of the different methods. Specific Aim 5: Use real PK dataset(s) to demonstrate the applicability and advantage of using the developed method in popPK model building.

rolling
consumer protection

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

Development of an Ultra-Broadband Microscope

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NIGMS - National Institute of General Medical Sciences

Optical microscopy is a cornerstone of biomedical research, enabling detailed visualization of biological structures and processes. However, traditional refractive microscopes are inherently limited by chromatic aberrations, group delay dispersion, and narrow spectral ranges, while existing reflective designs suffer from central obscuration, reducing contrast and efficiency. These limitations restrict the ability to perform high-resolution, broadband, and multimodal imaging, hindering advancements in biomedical research. To address these challenges, we propose the development of an ultra-broadband microscope based on an innovative obscuration-free, off-axis freeform reflective optical architecture. This system is designed to achieve diffraction-limited performance across an ultra-broadband spectral range — from the ultraviolet (UV) to the infrared (IR) — while eliminating chromatic aberrations and minimizing optical dispersion. By leveraging freeform optics and an unobscured reflective design, this technology will provide superior contrast, higher optical efficiency, and enhanced imaging capabilities beyond the limitations of conventional refractive or reflective microscopes. A key innovation of this project lies in the development of off-axis freeform reflective configurations and novel optomechanical integration strategies to create a compact, ultra-broadband-compatible microscope. This project will focus on three key objectives: (1) Design and optimization of a compact, high- performance off-axis reflective microscope with diffraction-limited imaging across a wide spectral range. (2) Prototype fabrication and assembly, advancing high-precision diamond-turning techniques to ensure superior optical quality and robust system integration. (3) Performance validation through rigorous experimental testing across UV, visible, and infrared spectra, benchmarking the prototype against state-of-the- art commercial refractive and reflective microscopes. The anticipated outcome is a transformative microscope platform that enables high-contrast, ultra- broadband imaging with an unprecedented working spectrum. This technology will establish a new paradigm for high-performance optical microscopy, unlocking new opportunities in biomedical research and expanding imaging capabilities across multiple disciplines. This proposal directly aligns with the objectives of NIGMS NOFO (PAR-25-203) by advancing a demonstrated proof-of-concept ultra-broadband microscope into a fully functional prototype with broad applicability in biomedical and biological sciences research. By overcoming fundamental optical constraints, this microscope has the potential to transform biomedical imaging and biological research, facilitating new discoveries and expanding the frontiers of optical microscopy.

Up to $1.8M
2030-04-30
health research

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

Development of Long-Acting Antiretroviral Therapy for Sustained SIV Suppression in Rhesus Macaques

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NIAID - National Institute of Allergy and Infectious Diseases

PROJECT SUMMARY With the most people ever in history currently living with HIV, finding a cure remains a global priority. Non-human primates (NHPs) are a clinically relevant model for developing strategies for HIV cure. The safety and efficacy of therapeutic curative approaches in ART-suppressed SIV-infected NHP have provided the basis for several strategies currently in human clinical trials. While the current daily ART regimen has advanced preclinical SIV cure research, it has its drawbacks. In addition to the high costs for staffing and drug administration, daily ART injections require daily manipulation of the NHP and unintended immune activation and perturbation from the carrier molecule Kleptose. Long-acting ART offers a novel and promising therapeutic approach as an alternative to both treat and prevent HIV. However, the impact of LA-ART on the latent viral reservoir is unknown and may alter approaches to cure HIV. Here, we are proposing to use LA-ART therapeutically in SIV-infected rhesus macaques to achieve full viral suppression. In specific aim 1, we will determine the ability of a long-acting antiretroviral regimen to achieve durable viral suppression in SIVmac239-infected rhesus macaques and assess the impact on the latent viral reservoir. In aim 2, we will characterize the safety, tolerability, and pharmacokinetics of repeated dosing of long-acting ART regimen and evaluate its effects on anti-SIV immunity. The results generated here will be directly compared to previously published historical controls that received conventional daily ART. This work will provide a safe and viable alternative to current daily antiretroviral therapies and lay the foundation for the next generation of ART in non-human primates.

Up to $483K
2028-01-31
health research

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

Development of Nav channel targeting antisense oligonucleotides as chronic pain therapeutics using an integrated platform based on machine learning and optical electrophysiology

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NINDS - National Institute of Neurological Disorders and Stroke

Project Summary: Development of Nav channel targeting antisense oligonucleotides as chronic pain therapeutics using an integrated platform based on machine learning and optical electrophysiology Effective treatment of chronic pain, including severe neuropathic pain conditions, such as erythromelalgia (EM) and small fiber neuropathy (SFN), remains a significant unmet medical need. Current therapies often lack full efficacy or come with serious risk, such as addiction associated with opioids. Antisense oligonucleotides (ASOs) offer a promising solution by knocking down specific mRNA transcripts with a long duration of action (~3 months) for sustained relief. ASOs have been successfully applied to patients to treat severe neurological disease. Here, we propose to develop an ASO therapeutic targeting the voltage-gated sodium channel, Nav1.7, which is highly expressed in dorsal root ganglion (DRG) neurons. Nav1.7 is a target with strong human genetics validation in pain transmission, including neuropathic pain. Reduction of channel expression via a therapeutic ASO may overcome the challenges of small molecules by mimicking the mechanism for congenital insensitivity to pain (CIP) resulting from hNav1.7 loss-of-function mutations. Administering the ASO via intrathecal (IT) injection will enable precise knockdown of Nav1.7 expression in DRG tissues in a state-independent manner with minimal risks for autonomic side effects, paving the way for an effective and targeted chronic pain therapy. To enable the selection of a Nav1.7 specific ASO with the desired profiles, Quiver has developed breakthrough technologies: (i) high throughput readout of neuronal excitability based on all-optical electrophysiology, (ii) combination of patient genetics and state-of-the-art human iPSC sensory neuron differentiation protocol for pain therapeutics validation in patient-based models, and (iii) a machine learning-guided ASO design and discovery platform for identifying the best ASO candidates with maximum therapeutic index. As an entry point, Quiver has identified a potent and selective hNav1.7 lead ASO (QV-2421) with confirmed activity in primary DRG neurons from relevant species and a clean in vivo CNS tolerability profile through in sillico prediction and empirical validation. In the UG3 phase, we will apply our breakthrough technology in combination with well-established preclinical assays to optimize the ASO lead. Quiver will collaborate with Boston Children's Hospital (BCH) to validate the functional impact of the lead ASO in sensory neurons derived from EM/SFN patients with neuropathic pain conditions. We will also evaluate long term in vivo tolerability and investigate translational biomarker approaches. Based on these studies, we aim to select one optimized ASO lead candidate with an acceptable tolerability profile and in vivo NHP PK/PD data profile by the end of the UG3 phase. In the UH3 phase, we will conduct dose-range finding toxicology studies, establish clinical biomarkers, perform large-scale manufacturing of the ASO candidate for IND-enabling studies, and initiate a Phase I clinical trial in young adult EM patients. The UH3 phase will conclude with the identification of an ASO candidate with an acceptable toxicology and preclinical profile that is advanced through IND-submission to enable the initiation of Phase I clinical trial. Our ultimate goal is to deliver a much-needed, non-opioid therapy to patients suffering from severe, chronic pain.

Up to $2.0M
2028-03-31
health research

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

Developmental Potential of IN-TACKs

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NIAID - National Institute of Allergy and Infectious Diseases

PROJECT SUMMARY/ABSTRACT HIV-1 infection remains a global health crisis. While highly active antiretroviral therapy (ART) allows most people to live with HIV, ART is not curative. HIV-1 exists within a reservoir of latently-infected cells as an integrated provirus DNA that is rekindled for virus gene expression and viral recrudescence upon ART cessation. The field of HIV Cure is accordingly constantly developing new ways, on the one hand, to permanently silence HIV-1 gene expression (block and lock), or, on the other hand, to enhance gene expression and then to eliminate HIV+ cells from the body (shock and kill). HIV-1 structural proteins and replication enzymes are expressed from proviral DNA as Gag and Gag-Pol polyprotein precursors, respectively, which are cleaved into constitutive components by the viral protease (PR) enzyme during virus assembly and maturation. Retroviral PRs are quasi site specific enzymes, and retroviruses have accordingly evolved to regulate PR activity to limit the extent of cellular proteolysis, which otherwise could be leveraged to detect the virus as a foreign invader. Indeed, the field has in recent years described effective small molecule kill modulators, called RT-TACKs, because they work by engaging the reverse transcriptase (RT) domain within Gag-Pol to effect premature Gag-Pol dimerization, which in turn prematurely activates the viral PR to cleave cellular inflammasome modulators and elicit pyroptotic cell death. In addition to protease and RT, the integrase domain encompasses part (the C-terminal portion) of Gag- Pol. Integrase has previously been implicated in regulating PR activity during HIV-1 maturation, but the underlying molecular mechanisms have remained unclear. In this study, we have assessed if integrase-targeting compounds might also elicit pyroptotic cell death. The work described in this application will determine the developmental potential of integrase-targeted activator of cell kill (IN-TACK) compounds for elimination of HIV+ cells.

Up to $267K
2028-04-30
health research

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

Differentiation of uterine tissue-resident natural killer cells

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

PROJECT SUMMARY For a pregnancy to succeed, the immune environment at the maternal-fetal interface must be precisely regulated to support fetal development. Uterine natural killer (uNK) cells–the most abundant lymphocyte at the maternal- fetal interface–are thought to contribute to various physiological aspects of gestation crucial for fetal development. Their critical role in pregnancy is evidenced by studies linking abnormalities in uNK cells to adverse pregnancy outcomes, particularly in uterine transplant recipients. Our preliminary findings provide the first direct evidence showing that the loss of uNK cells in the pregnant murine uterus significantly reduces litter sizes and increases resorption rates, further underscoring their indispensable role in pregnancy. Despite mounting evidence linking uNK cell dysfunction with adverse pregnancy outcomes, critical knowledge gaps in uNK cell biology persist, particularly regarding the origins and functional specialization of these cells within the uterine microenvironment. Our lab has previously shown that the uNK cell population is heterogeneous, consisting of both tissue-resident NK (trNK) cells and conventional NK (cNK) cells. While the developmental trajectory of cNK cells has been well-established, the developmental origins of uterine trNK cells remain unresolved. Here, we will investigate the origins and differentiation of uterine trNK cells in the virgin and pregnant murine uterus. Our preliminary findings show that both trNK cells and cNK cells in the murine uterus are Eomesodermin-dependent both at steady-state and during pregnancy, suggesting uterine trNK cells derive from the cNK cell lineage. Additionally, our initial studies demonstrate that progenitors in the bone marrow can give rise to uterine trNK cells. Together, our data support the central hypothesis that uterine trNK cells originate from the cNK cell lineage and are derived from either 1) early NK cell precursors in the bone marrow or 2) mature cNK cells in the periphery. Recognizing that these possibilities are not mutually exclusive, we will clarify the origins and developmental kinetics of uterine trNK cells using cutting-edge techniques and novel mouse models, including adoptive transfer studies in a newly engineered reporter mouse as well as advanced whole-mount confocal imaging. We also hypothesize that peripheral cNK cells can differentiate into uterine trNK cells during murine pregnancy and are driven to do so by molecular factors in the pregnant uterus. To explore the potential plasticity of peripheral cNK cells in the pregnant uterus, we will leverage innovative mouse models and state-of-the-art spatial transcriptomics to identify key regulatory signals and cell populations governing this transition. Collectively, this proposal will address key gaps in uNK cell biology by providing critical insights into the origins and differentiation of uNK cells that have the potential to uncover novel therapeutic targets for patients with uNK cell abnormalities, particularly uterine transplant recipients, ultimately improving reproductive health outcomes.

Up to $37K
2030-02-01
health research

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

Digestive Disease Training Program

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NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases

PROJECT SUMMARY The ongoing purpose of the Medical University of South Carolina (MUSC) Digestive Disease Training Program is to educate and mentor a cadre of researchers who will drive the future of liver and gastrointestinal (GI)-related biomedical research within three fundamental thematic areas: 1) Inflammation and Fibrosis; 2) Metabolic Disease; and 3) Organ and Tissue Failure. These themes are highly-relevant to major disease states affecting the health of the GI tract and liver and build upon the strengths of our established researchers. The emphasis of the program is to train graduate students in the art of basic biomedical research in a manner that will advance the study of the fundamental mechanisms underlying digestive and liver disease. Success will expand the pool of qualified digestive disease researchers and facilitate the development of novel treatments. Trainees will be selected from a pool of applicants that enter the MUSC College of Graduate Studies. After completing a basic biomedical sciences curriculum during their first year in as graduate students, trainees appointed to the Digestive Disease Training Program will take newly-developed courses that focus on digestive disease research and that complement their dissertation research projects. In addition, they will have access to courses offering instruction in professional development, experimental design and analyses, and rigorous, responsible conduct of research. Students’ coursework will be complemented with a number of enrichment activities including a Digestive Disease Seminar Series, a Journal Club, an Annual Digestive Disease Retreat, and numerous career development opportunities, such as a digital badge in science communication. The program will be supported by a growth in digestive disease research at MUSC that is driven by strategic institutional investments, programmatic support, and the recruitment of key faculty. MUSC’s robust clinical environment, collaborative research environment, and investments in numerous research cores will continue to advance digestive disease research on campus and provide trainees with a robust and scholarly training environment.

Up to $137K
2031-05-31
health research

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

Dissecting Antidepressant Placebo Expectancy-Mood Dynamics

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NIMH - National Institute of Mental Health

Abstract Despite the high prevalence of major depressive disorder (MDD) and its projected rise as the leading cause of global disease burden by 2030, treatment efficacy remains suboptimal. First-line antidepressants have modest efficacy (~50%), and high placebo response rates (~40%) contribute to the failure of antidepressant trials and hinder new drug development. While research underscores the role of antidepressant expectancies in modulating mood across various brain regions, there is a critical need to elucidate how expectancy-driven neural dynamics interact with downstream mood regulation processes to induce sustained mood improvement. Our recent work provides the first computational account of antidepressant placebo effects, where reinforcement learning (RL) model-predicted expectancies—encoded in the salience network (SN)—trigger mood changes perceived as reward signals, which reinforce antidepressant expectancies through an expectancy-mood loop. Furthermore, we and others have demonstrated that enhanced functional connectivity (FC) between the SN and default mode network (DMN) during expectancy processing and at rest predicts long-term antidepressant placebo effects. This evidence suggests that antidepressant expectancies, originating from contextual treatment cues, are represented in the SN and influence mood regulation through top-down connections with the DMN. To test this hypothesis, this study will investigate the causal roles of the SN, DMN, and SN-DMN FC in antidepressant placebo effects using Theta Burst Stimulation (TBS). In a 2x3 factorial design, 200 patients with MDD will be randomized to three counter-balanced TBS conditions (intermittent, continuous, and sham, within-subject) targeting either the SN or DMN (between-subject). These acute experimental manipulations will modulate trial-by-trial expectancy and mood ratings and the neural encoding of model-based expectancies and mood reward signals during the “antidepressant placebo fMRI task”, which manipulates placebo-associated expectancies using visually cued fast-acting antidepressant infusions and sham visual neurofeedback. Led by experts in placebo effects, reinforcement learning, depression, and neuromodulation, this study combines a robust theoretical framework, state-of-the-art neuroimaging, precision functional mapping for personalized TBS targeting, and accelerated TBS, ensuring scientific rigor. The insights gained from this study will deepen our understanding of the neural mechanisms behind placebo effects, enhancing clinical trial design, advancing neuroimaging predictors of treatment response, and accelerating the development of expectancy-based interventions for MDD.

Up to $729K
2031-03-31
health research

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

Dissecting Glutamatergic Pathway-Specific Ensembles Guiding Motivated Behavior

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NIDA - National Institute on Drug Abuse

Project Summary/Abstract Opioid use disorder (OUD) is a devastating public health crisis, characterized by a lack of inhibitory control over drug seeking. Opioid use causes persistent adaptations in the excitatory circuitry governing motivated behavior, enabling drug-paired cues to trigger seeking despite negative consequences. Therefore, understanding how opioids engage and adapt unique glutamatergic circuit elements to promote maladaptive, reward-driven behavior would provide significant insight into habitual heroin use and identify treatment strategies to prevent relapse. This K99/R00 proposal seeks to determine the projection-specific glutamatergic neurons that functionally guide motivated behavior and reveal the pathway-specific circuit adaptations that emerge during heroin use to drive reward seeking. As I begin my independent career, I aim to develop a research program that investigates the spatiotemporal dynamics of drug-naive and drug-experienced glutamatergic networks and causally implicate pathway-specific ensembles in guiding reward-driven behavior and relapse. The Otis laboratory identified that the glutamatergic pathway from the paraventricular thalamus to the nucleus accumbens shell (PVT→NAc) pervasively governs naturalistic reward-seeking behavior, and stimulation of this pathway is sufficient to profoundly inhibit motivated action. Recently, I established that heroin use dampens PVT→NAc projection activity and weakens downstream synaptic efficacy, functionally disinhibiting reward seeking. Using two-photon (2P) calcium imaging in head-fixed, self-administering mice, we found three unique ensembles emerge in the PVT→NAc pathway during taking, with inhibitory neuronal dynamics reliably predicting goal-directed behavior in sucrose- and heroin-seeking tasks. However, it is currently unknown whether this inhibitory ensemble functionally encodes motivated behavior and actively guides reward seeking. During the K99, I will receive world-class training in 2P single-cell optogenetics to selectively photostimulate the inhibitory PVT→NAc ensemble that encodes goal-directed behavior in sucrose-seeking mice, both before and after heroin exposure. I will learn advanced computational analysis to determine the outcome of ensemble photostimulation on the within- projection dynamics guiding inhibitory control and heroin-induced disinhibition of seeking (Aim 1). I will expand my investigations into other key glutamatergic inputs to the NAc and determine the heroin-induced adaptations in hippocampal circuit- and cell-type-specific connectivity that facilitates relapse (Aim 2) and hippocampus-to- NAc-specific projection neurons that guide heroin-motivated behavior (Aim 3). Collectively, this proposal tests the hypothesis that heroin induces functional adaptations in pathway-specific glutamatergic circuit elements to drive maladaptive reward seeking. Results will reveal the network computations that guide motivated behavior in naïve and drug-exposed systems. This K99/R00 will grant me the unparalleled opportunity to receive training in state-of-the-art approaches as I develop my own independent research program in OUD.

Up to $210K
2028-04-30
health research

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

Dissecting the Impact of HIV-Induced Immunometabolic Perturbation on Tuberculosis Control

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NIAID - National Institute of Allergy and Infectious Diseases

SUMMARY HIV and Mycobacterium tuberculosis (Mtb) are among the world’s deadliest infections, and co-infection is particularly devastating because each pathogen accelerates the progression and severity of the other. Notably, for reasons that are not well understood, people living with HIV (PLWH) remain at elevated TB risk despite effective antiretroviral therapy (ART) and viral suppression. Our goal is to define how HIV-TB co-infection, even with virologic control, impairs Mtb immunity. Macrophages and CD4+ T cells are central to the pathogenesis of both diseases; Mtb infects lung macrophages and depends to CD4+ T cells to prevent disease progression, while HIV infects both macrophages and CD4+ T cells. Macrophages can harbor latent HIV proviruses, which persist despite treatment. Both pathogens reprogram macrophage metabolism, which is intimately linked to antimicrobial functions. However, the impact of co-infection on macrophage immunometabolism and Mtb control remains unclear. In addition, although antiretroviral treatment (ART) can restore CD4+ T cell counts to normal ranges, the T cells often remain dysfunctional and exhibit signs of exhaustion. We unite leading HIV and TB investigators and leverage unique cellular and animal models of HIV latency. We hypothesize that, despite ART and virologic suppression, PLWH experience macrophage immunometabolic reprogramming that enhances TB susceptibility and that ART-restored CD4+ T cells are dysfunctional and fail to enhance microbicidal properties of macrophages. Using dual-reporter human macrophage models and ex vivo studies of PLWH and controls, we will profile antimicrobial and immunometabolic responses of Mtb-infected macrophages, and we will test the contribution of exhausted CD4+ T cells to macrophage dysfunction. A long-standing obstacle to studying HIV- TB coinfection has been the absence of a small animal model. We will use a novel humanized mouse model that recapitulates human lung immune cell populations and HIV infection dynamics, including active viral replication, latency establishment, and viral suppression with ART. We will assess how untreated and treated HIV infection affects Mtb pathogenesis, assessing pathogen burden, immunometabolic responses, and cellular infection patterns, using spectral flow cytometry, scRNAseq and metabolic profiling. These studies will clarify the molecular basis of immune dysfunction during HIV-TB co-infection and inform on host-directed therapies to restore immune function and improve outcomes.

Up to $428K
2028-01-31
health research

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

Distributed foundational models for multi-task learning in diabetic retinopathy

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NEI - National Eye Institute

Abstract: This project aims to establish distributed federated learning (FL) approaches for multi-task training of foundational machine learning (ML) models for diabetic retinopathy (DR), using multi-modal, real-world optical coherence tomography (OCT) data (OCT cross-section, OCT angiography (OCTA), and OCT enface). DR is one of the leading causes of severe vision loss. Early detection, prompt intervention, and reliable assessment of treatment outcomes are essential to prevent irreversible vision loss from DR. However, there are major challenges towards developing clinically relevant holistic algorithms that can perform multi-tasks, i.e., multi-class classification of disease stages (diagnosis), prediction of onset and progression of disease stages (prognosis), and assessment of treatment outcomes. They require large amounts of well curated and labelled datasets from a diverse sub-population for robust performance. Moreover, efforts towards large, centralized datasets for ML research are hindered by significant barriers to data sharing and privacy concerns. In this project, we propose to develop foundational ML models that allow efficient learning of feature representations from a large corpus of ophthalmic imaging data for various downstream tasks – breaking the task-specific paradigm of current ML models. We also establish novel federated ML approaches, where the model training is distributed across institutions instead of sharing patient data. Our first aim is to establish and validate a domain adaptive FL framework for DR diagnosis across four independent institutions. We propose a novel ophthalmic adaptive personalized FL (optho-APFL) technique to tackle domain shift caused by heterogeneous data distribution at different institutions (due to different sub-population density and OCT devices/imaging protocols). We will conduct experiments on the FL deployment in a clinical setting and integrate a granular differential privacy (DP) algorithm into our FL framework to provide ‘patient-level’ data privacy. Key success criterion is to deploy the FL framework and validate FL-trained ML models against state-of-the-art models for DR diagnosis. The second aim is to develop foundational ML models with self-supervised learning (SSL) to learn multiple tasks within the same framework from label invariant OCT/OCTA data, where different institutions don’t need to have labeled data for each of the tasks. We will train these foundational models in a centralized and FL framework for comparative analysis. Key success criterion is to i) validate foundational model performance for multi-task learning (MTL) (DR staging, prediction of NPDR to PDR progression, and prediction of DME treatment evaluation) on new clinical data (centralized and FL approach, and ii) identify task-specific quantitative OCT/OCTA (mean and artery-vein specific) features. As an alternative approach, we propose diffusion probabilistic modeling (DPM) for SSL to learn holistic representations from multi-modal OCT data for MTL, and to explore dynamic federated averaging approaches. Success of this project will establish OCT/OCTA based distributed foundational models for objective MTL in DR using label-invariant data across multi-institutions and standardize OCT/OCTA features for MTL.

Up to $617K
2030-03-31
health research

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

Diversity and function of TRIO isoforms during human synapse development

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NINDS - National Institute of Neurological Disorders and Stroke

ABSTRACT Alternative splicing vastly expands the functional repertoire of genes, and is especially important during human synapse development. Human synapses have unique structures and compositions, but the mechanisms involved in their development remains elusive. Investigations into human-specific aspects of synaptic machinery have revealed a critical role for Rho guanine nucleotide exchange factor (GEF) signaling. TRIO is a large multi-domain RhoGEF with essential roles in neuronal and synaptic development. TRIO is also a genome-wide significant risk factor for neurodevelopmental disorders and glutamatergic synapses have been implicated by genomic, neuropathological, and functional studies as key sites of pathogenesis. Individuals with pathogenic TRIO variants are characterized by intellectual disability, developmental delay, and seizures. The TRIO gene produces multiple distinct isoforms that differentially incorporate TRIO’s functional domains including two GEF domains that having opposing functions on the actin cytoskeleton. Thus, precise control of TRIO’s GEF domains through expression and localization of isoforms is paramount for its function. However, the diversity and expression patterns of TRIO isoforms are poorly understood, and their impact on human synapse development is unknown. A complete catalogue of isoform diversity is necessary for a holistic view of gene function, and is critical for gene therapy designs, interpreting clinical variants, and revealing novel biological mechanisms. Here, we will leverage state- of-the-art long-read sequencing, iPSC-models and fluorescence imaging to characterize human TRIO isoforms. Our central hypothesis is that TRIO produces an array of isoforms with distinct expression patterns and domain architectures that assist with the precise timing and spatial control of synaptic development. In Aim 1, we will combine exon capture and long-read sequencing technologies to systematically profile full-length TRIO transcripts in the human brain. We will create comprehensive isoform maps at three postnatal time points, and analyze novel isoforms for differential expression, presence of clinical variants, and protein motifs. In Aim 2, human iPSC-derived neuron models will be utilized to assess the localization and functional roles of individual isoforms in synaptic compartments. Together, this work will reveal a high-resolution map of the structure, expression and function of TRIO isoforms in the human brain, providing mechanistic insight into human synapse development and TRIO-related neurodevelopmental disorders.

Up to $240K
2028-05-31
health research

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

DNA ADP-ribosylation in the bacterial-phage arms race

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NIAID - National Institute of Allergy and Infectious Diseases

PROJECT SUMMARY ADP-ribosylation is a modification used across domains of life to mediate biological conflicts. The covalent attachment of ADP-ribose to diverse substrates ranging from proteins and small molecules to nucleic acids can render the target inaccessible or inactive. DNA targeting ADP-ribosylation has received less attention than the modification of other substrates, but is increasingly thought to be a widespread strategy in both interbacterial conflicts and in anti-phage defense mechanisms. DNA ADP-ribosylation was discovered in bacteria less than ten years ago, and therefore despite the prevalence of this modification, little is known about its biological function. My postdoctoral research provided a major advance for the field by revealing that a widely distributed bacterial DNA targeting ADP-ribosyltransferase (ART) toxin is the effector of a family of phage defense systems, thus ascribing a clear biological function to these enzymes. DNA targeted ADP-ribosylation blocks DNA replication and is accordingly highly toxic in bacterial cells but also potently anti-viral. These bacterial DNA targeting ARTs, a family termed DarT, are normally kept inactive by a cognate, neutralizing antitoxin, DarG, which is a DNA targeting ADP-ribosylglycohydrolase (ARG). Many fundamental questions remain about the biology of DarTG systems, including how the DarT toxin becomes active after phage infection. Phages, a co-evolving biological entity, are also a rich source of anti-DNA ART mechanisms. We recently discovered that some phages have co-opted DarG-like proteins and related DNA ARGs on multiple occasions, and that these “orphan antitoxins” protect these phages from DarTG-mediated defense. Thus, as with DarT, we were able to ascribe a biological function to a widespread family of previously mysterious phage enzymes. The distribution of DNA ARGs across the tree of life further suggests that DNA ADP-ribosylation is almost certainly more widespread than currently appreciated. The major goals of this study are both to investigate the underlying biology of DarTG systems in their biologically relevant context of phage infection, as well as to develop and apply cutting edge bioinformatic approaches to identify novel DNA ART and ARG families. To this end, we will pursue the following aims: 1) elucidate the molecular mechanism by which phage infection activates DarTG1 using genome-wide, single-cell, and in vitro approaches; 2) investigate the specificity and diversity of phage- encoded DNA ARGs and other phage anti-DNA ART counter-defenses, and 3) mechanistically dissect a third, unstudied DarTG family and develop methods for discovery of additional DarT- and non-DarT-related DNA ARTs. The discoveries we make in this bacterial-phage system, with its powerful experimental and genetic tools, will reveal fundamental facets of DNA ART and ARG biology relevant to the bacterial immune system and lay the groundwork for future studies of anti-viral DNA ADP-ribosylation in eukaryotes.

Up to $638K
2031-03-31
health research

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

DOD Defense Health Agency (DHA) Research & Development FY23-FY27 BROAD AGENCY ANNOUNCEMENT for Extramural Medical Research

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Dept. of the Army -- USAMRAA

<p>The USAMRDC’s mission is to provide solutions to medical problems of importance to the American Service Member at home and abroad, as well as to the general public at large. The scope of this effort and the priorities attached to specific projects are influenced by changes in military and civilian medical science and technology (S&amp;T), operational requirements, military threat assessments, and national defense strategies. Extramural research and development programs play a vital role in the fulfillment of the objectives established by the USAMRDC. General information on the USAMRDC can be obtained at https://mrdc.health.mil/.</p><p>This BAA is intended to solicit extramural research and development ideas using the authority provided by 10 USC 4001. The BAA is issued under the provisions of the Competition in Contracting Act of 1984 (Public Law 98-369), as implemented in FAR 6.102(d)(2) and 35.016 and in Department of Defense Grant and Agreement Regulations (DoDGARs) 22.315. In accordance with FAR 35.016, projects funded under this BAA must be for basic and applied research to support scientific study and experimentation directed toward advancing the state-of-the-art or increasing knowledge or understanding rather than focusing on development of a specific system or hardware solution. Research and development funded through this BAA are intended and expected to benefit and inform both military and civilian medical practice and knowledge. This BAA utilizes competitive procedures in accordance with 10 USC 3012 for the selection for award of S&amp;T proposals/applications. For the purposes of this BAA, S&amp;T includes activities involving basic research, applied research, advanced technology development, and, under certain conditions, may include activities involving advanced component development and prototypes.</p><p>The selection process is highly competitive, and the quantity of meaningful submissions (both pre-proposals/pre-applications and full proposals/applications) received typically exceeds the number of awards that available funding can support.</p><p>This BAA provides a general description of USAMRDC’s research and development programs, including Research Areas of Interest, evaluation and selection criteria, pre-proposal/ pre-application and full proposal/application preparation instructions, and general administrative information. Specific submission information and additional administrative requirements can be found in the document titled, “General Submission Instructions,” which is available on Grants.gov along with this BAA.</p><p>The FY23-FY27 USAMRDC BAA is continuously open for a 5-year period, from October 1, 2022 through September 30, 2027, at 11:59 p.m. Eastern Time. Submission of a pre-proposal/pre-application is required and must be submitted through the electronic Biomedical Research Application Portal (eBRAP) (https://eBRAP.org/). Pre-proposals/pre-applications may be submitted at any time throughout the 5-year period. If the USAMRDC is interested in receiving a full proposal/application, the Principal Investigator will be sent an invitation to submit via eBRAP. A full proposal/application must be submitted through Grants.gov (http://www.grants.gov/). Invited full proposals/applications can be submitted under this FY23-FY27 BAA through September 30, 2027.</p>

2027-09-30
science_technology_and_other_research_and_development

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DOD Defense Health Agency (DHA) Research &amp; Development FY23-FY27 BROAD AGENCY ANNOUNCEMENT for Extramural Medical Research

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Defense Health Agency Contracting Activity - DHACA

The USAMRDC s mission is to provide solutions to medical problems of importance to the American Service Member at home and abroad, as well as to the general public at large. The scope of this effort and the priorities attached to specific projects are influenced by changes in military and civilian medical science and technology (S&amp;T), operational requirements, military threat assessments, and national defense strategies. Extramural research and development programs play a vital role in the fulfillment of the objectives established by the USAMRDC. General information on the USAMRDC can be obtained at https://mrdc.health.mil/.This BAA is intended to solicit extramural research and development ideas using the authority provided by 10 USC 4001. The BAA is issued under the provisions of the Competition in Contracting Act of 1984 (Public Law 98-369), as implemented in FAR 6.102(d)(2) and 35.016 and in Department of Defense Grant and Agreement Regulations (DoDGARs) 22.315. In accordance with FAR 35.016, projects funded under this BAA must be for basic and applied research to support scientific study and experimentation directed toward advancing the state-of-the-art or increasing knowledge or understanding rather than focusing on development of a specific system or hardware solution. Research and development funded through this BAA are intended and expected to benefit and inform both military and civilian medical practice and knowledge. This BAA utilizes competitive procedures in accordance with 10 USC 3012 for the selection for award of S&amp;T proposals/applications. For the purposes of this BAA, S&amp;T includes activities involving basic research, applied research, advanced technology development, and, under certain conditions, may include activities involving advanced component development and prototypes.The selection process is highly competitive, and the quantity of meaningful submissions (both pre-proposals/pre-applications and full proposals/applications) received typically exceeds the number of awards that available funding can support.This BAA provides a general description of USAMRDC s research and development programs, including Research Areas of Interest, evaluation and selection criteria, pre-proposal/ pre-application and full proposal/application preparation instructions, and general administrative information. Specific submission information and additional administrative requirements can be found in the document titled, General Submission Instructions, which is available on Grants.gov along with this BAA.The FY23-FY27 USAMRDC BAA is continuously open for a 5-year period, from October 1, 2022 through September 30, 2027, at 11:59 p.m. Eastern Time. Submission of a pre-proposal/pre-application is required and must be submitted through the electronic Biomedical Research Application Portal (eBRAP) (https://eBRAP.org/). Pre-proposals/pre-applications may be submitted at any time throughout the 5-year period. If the USAMRDC is interested in receiving a full proposal/application, the Principal Investigator will be sent an invitation to submit via eBRAP. A full proposal/application must be submitted through Grants.gov (http://www.grants.gov/). Invited full proposals/applications can be submitted under this FY23-FY27 BAA through September 30, 2027.

2027-09-30
sciencetechnology

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Dopamine D1-like receptor stimulation promotes HIV neuroimmune pathogenesis in iPSC-derived human cortical assembloids

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NIDA - National Institute on Drug Abuse

Neurologic complications remain prevalent in nearly 50% of people with HIV (PWH) and persist despite viral suppression with antiretroviral therapy (ART). Though the exact processes mediating HIV neuropathogenesis are not well understood, co-morbidities such as substance use disorders (SUD), which are higher in PWH compared to the general population, exacerbate neuropathogenesis of HIV and worsen outcomes. Multiple substances of misuse are reported to increase HIV replication, induce inflammatory signaling, and amplify neurodegenerative phenotypes. Thus, there is a significant need to understand the intersection between SUD and NeuroHIV to improve longitudinal care and inform the public. The overlapping effects of distinct substances of misuse on HIV pathogenesis in the CNS suggest that a common pathway may be involved through presently undefined mechanisms. All addictive substances increase extracellular dopamine in the central nervous system (CNS), which signals neurons and other nearby glial cells expressing dopamine receptors. Our lab has shown that myeloid cells such as macrophages and microglia, which are major HIV reservoirs in the brain, express dopamine receptors more D1-like receptors (D1 and D5) than D2-like receptors (D2, D3, D4). Treatment of macrophages and microglia with micromolar concentrations of dopamine increased pro-inflammatory signaling, increased viral entry, and potentiated viral secretion in vitro. We recently found that a higher D1-like to D2-like ratio is associated with a more pro-inflammatory response in microglia. Further, we showed that dopamine increases activation of nuclear factor-kappa B (NF-κB) in macrophages, and that inhibition of NF-κB can block the pro-inflammatory effects of dopamine. Together, these data suggest that dopamine-enriched brain regions, such as the cortex and striatum, may be especially vulnerable to HIV and neuroinflammation in PWH and co-morbid addiction through the action of dopamine on microglia. Therefore, the central hypothesis of this proposal is that dopamine D1-like receptor activation promotes HIV infection and NF-κB-mediated inflammation in microglia to worsen neurodegeneration. This hypothesis will be tested using human induced pluripotent stem cell (iPSC)-derived brain human cortical assembloids and several orthogonal assays to explore the dopamine-mediated pathways that modulate HIV neuroimmune pathogenesis. We will use pharmacologic activation of dopamine receptors in cortical assembloids to assess viral kinetics (Aim 1), neuroinflammation (Aim 2), and neuronal degeneration of synapses and dendrites (Aim 3). Together, these studies will significantly advance our understanding of dopamine as an immunomodulatory signaling molecule in the context of substance use and HIV, as well as expand the approaches to studying neuroimmune pharmacology using human micro-physiological systems.

Up to $50K
2030-02-26
health research

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