(@nhlbiforumadministrator)

Goal 3: Advance Translational Research

Implementation of T4 Translation Research Platforms and Networks

How can cost-effective implementation of late stage translation (T4) research protocols be facilitated for heart, lung, blood, sleep diseases and health inequities?

Can research platforms and networks be created and utilized to facilitate execution of multi-level interventions and approaches for the end user in collaboration with key stake holders?

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4 net votes
13 up votes
9 down votes
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(@klaus0)

Goal 3: Advance Translational Research

Integrate mechanistic and translational research

Other entries have asked for support for translational research. To be successful, this must be integrated with mechanistic research. Ideally. MD-PhD teams would get together. Challenges in translation: find formulation, preclinical toxicology, phase I trials to establish safety, biomarkers. Challenges in mechanism: RNA-Seq, Chip-Seq of relevant cells, KO mice by Cas-CRISPR, deep expertise in the relevant discipline.

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28 net votes
37 up votes
9 down votes
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(@nhlbiforumadministrator)

Goal 3: Advance Translational Research

Developing a Research Community for T4 Translation Research

What incentives will encourage current and new NHLBI investigators to pursue late translation (T4) research of proven effective interventions in heart, lung, blood, and sleep diseases? One of NHLBI’s current strategic plan’s goals is to translate discovery and early translation research knowledge to late stage T4 translation for use in populations so that it has significant positive health impacts and provides a return ...more »

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-3 net votes
8 up votes
11 down votes
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(@nhlbiforumadministrator)

Goal 1: Promote Human Health

Transforming Transplantation with Reprogramming Immune System Cells (RISC)

Can we "reprogram" the immune system to improve outcomes of heart, lung, and hematopoietic cell transplants? While NIAID is a major funder of immunology research, we are a major contributor to stem cell research. Our resources could be combined, where NIAID would support this approach for autoimmune diseases, and we would support work in tolerance for transplants. If the NCI also wants to collaborate on co-stimulatory ...more »

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15 net votes
27 up votes
12 down votes
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(@lungmatbio1)

Goal 3: Advance Translational Research

Next Stage of COPD Discovery

1) Refinement of COPD subphenotypes for therapeutics, diagnostics and mechanistic interrogation. The NIH should encourage a strong focus on a) rigorous, mechanistically-reinforced definitions (chronic bronchitis, emphysema (with and without obstruction), frequent exacerbators, combined pulmonary fibrosis and emphysema) and 2) the development and optimization of animal model systems that replicate the different subphenotypes. ...more »

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16 net votes
26 up votes
10 down votes
Active
(@dkagr0)

Goal 3: Advance Translational Research

Funding for synthesis and screening of potentially therapeutic molecules

Currently, there are limited, if none, funding resources to synthesize and screen potentially therapeutic molecules, based on supportive findings in cells, biopsy tissues from the patients with the disease in question, and the preliminary data to support the development of a series of compounds to screen them for their pharmacokinetics, pharmacodynamics, toxicity and use in clinically-relevant large animal models.

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-6 net votes
5 up votes
11 down votes
Active
(@nhlbiforumadministrator1)

Goal 3: Advance Translational Research

Translation Research Dissemination & Implementation Frameworks

We need to identify and test the proven effective dissemination and implementation frameworks that are relevant to heart, lung, and blood disorders in order to scale up evidence-based interventions in real world settings, ultimately improving health equity among minority populations, including low income minority residents living in public housing.

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4 net votes
13 up votes
9 down votes
Active
(@tcooper)

Goal 2: Reduce Human Disease

The relationship between genetic variation and disease mechanisms

What is the contribution of individual differences in RNA processing to disease causation, disease modification, disease susceptibility, and positive or negative responses to therapies? Studies using genome sequencing combined with RNA-seq have determined that genetic variation affects regulation of RNA processing as frequently as transcriptional regulation. While transcriptional networks are well defined in heart development ...more »

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19 net votes
24 up votes
5 down votes
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