The Beta-Adrenergic Receptor Blocker and Anti-Inflammatory Drug Propranolol Mitigates Brain Cytokine Expression in a Long-Term Model of Gulf War Illness (Dataset)
Dataset
Public Domain
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2021/11/02
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Series: NIOSH Data
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English
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Description:Download the Dataset decsribed here from Data.cdc.gov at https://doi.org/10.26616/NIOSHRD-1024-2021-0. ; Growing evidence suggests that Gulf War Illness (GWI) is the result of underlying neuroimmune dysfunction. For example, previously we found that several Gulf War-relevant organophosphate, acetylcholinesterase inhibitors produce heightened neuroinflammatory responses following a subchronic stressor exposure. The goal of the study was to evaluate the potential for the beta-adrenergic receptor inhibitor and anti-inflammatory drug, propranolol, to treat neuroinflammation in a novel long-term mouse model of GWI. We established that our long-term GWI model produces enhanced and prolonged neuroinflammation that is dependent upon Gulf War-relevant organophosphate exposure. Propranolol treatment abrogated the neuroinflammation instigated in our model specifically, having no treatment effects in non-DFP exposed groups. Our results indicate that propranolol may be a promising therapy for GWI by treating the underlying neuroinflammation associated with Gulf War-relevant physiological stress and organophosphate exposures. Description provided by NIOSH
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Media Type:application/zip
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Described By Type:HTML Repository Page
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Rights:Public Domain
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Contact Point:Health Effects Laboratory Division (HELD). Toxicology and Molecular Biology Branch (TMBB)
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Pages in Document:1 ZIP folder
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NIOSHTIC Number:nn:20063887
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Citation:Morgantown, WV: U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Research Dataset RD-1024-2021-0, 2021 Nov; :dataset
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Email:sa-cin-webteam@cdc.gov
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Federal Fiscal Year:2022
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Peer Reviewed:False
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Main Document Checksum:urn:sha-512:19234c296d64344f4bf511ef11339b6ad1fdb34069f2caeca0e5cf5517425fd8a03292d39dadc5f4bcb4148cf56c89f90219aedec67a8f32a061a77fc38f35d7
File Language:
English
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