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Chronic Inflammation and Age-related Disease (R01)

Sector: Education • Location: United States of America

Source: Grants.gov

Project
Archived

The participating NIH Institutes and Centers invite applications to address both the origins and the effects of low level chronic inflammation in the onset and progression of age-related diseases and conditions. Chronic inflammation, as defined by elevated levels of both local and systemic cytokines and other pro-inflammatory factors, is a hallmark of aging in virtually all higher animals includin

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The project “Chronic Inflammation and Age-related Disease (R01)” is an infrastructure initiative in the Education sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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archived

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Description

Description

The participating NIH Institutes and Centers invite applications to address both the origins and the effects of low level chronic inflammation in the onset and progression of age-related diseases and conditions. Chronic inflammation, as defined by elevated levels of both local and systemic cytokines and other pro-inflammatory factors, is a hallmark of aging in virtually all higher animals including humans and is recognized as a major risk factor for developing age-associated diseases. The spectra of phenotypes capable of generating low-level chronic inflammation and their defining mediators are not clear. Further, a clear understanding of how chronic inflammation compromises the integrity of cells or tissues leading to disease progression is lacking. The role of dietary supplements and/or nutritional status in chronic inflammation in age-related disease is also poorly studied. Thus, there is a critical need to establish the knowledge base that will allow a better understanding of the complex interplay between inflammation and age-related diseases. Applications submitted to this FOA should aim to clarify the molecular and cellular basis for the increase in circulating inflammatory factors with aging, and/or shed light on the cause-effect relationship between inflammation and disease, using pre-clinical (animal or cellular based) models.

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High

Data quality score

100%

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