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Chakraborty N, Holmes-Hampton GP, Gautam A, Kumar R, Hritzo B, Legesse B, Dimitrov G, Ghosh SP, Hammamieh R. Early to sustained impacts of lethal radiation on circulating miRNAs in a minipig model. Sci Rep 2023; 13:18496. [PMID: 37898651 PMCID: PMC10613244 DOI: 10.1038/s41598-023-45250-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 10/17/2023] [Indexed: 10/30/2023] Open
Abstract
Early diagnosis of lethal radiation is imperative since its intervention time windows are considerably short. Hence, ideal diagnostic candidates of radiation should be easily accessible, enable to inform about the stress history and objectively triage subjects in a time-efficient manner. Therefore, the small molecules such as metabolites and microRNAs (miRNAs) from plasma are legitimate biomarker candidate for lethal radiation. Our objectives were to comprehend the radiation-driven molecular pathogenesis and thereby determine biomarkers of translational potential. We investigated an established minipig model of LD70/45 total body irradiation (TBI). In this pilot study, plasma was collected pre-TBI and at multiple time points post-TBI. The majority of differentially expressed miRNAs and metabolites were perturbed immediately after TBI that potentially underlined the severity of its acute impact. The integrative network analysis of miRNA and metabolites showed a cohesive response; the early and consistent perturbations of networks were linked to cancer and the shift in musculoskeletal atrophy synchronized with the comorbidity-networks associated with inflammation and bioenergy synthesis. Subsequent comparative pipeline delivered 92 miRNAs, which demonstrated sequential homology between human and minipig, and potentially similar responses to lethal radiation across these two species. This panel promised to retrospectively inform the time since the radiation occurred; thereby could facilitate knowledge-driven interventions.
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Affiliation(s)
- Nabarun Chakraborty
- Medical Readiness Systems Biology, CMPN, Walter Reed Army Institute of Research, Silver Spring, MD, 20910, USA
| | - Gregory P Holmes-Hampton
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, 20889, USA
| | - Aarti Gautam
- Medical Readiness Systems Biology, CMPN, Walter Reed Army Institute of Research, Silver Spring, MD, 20910, USA
| | - Raina Kumar
- The Geneva Foundation, US Army Center for Environmental Health Research, Fort Detrick, MD, 21702-5010, USA
| | - Bernadette Hritzo
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, 20889, USA
| | - Betre Legesse
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, 20889, USA
| | - George Dimitrov
- Medical Readiness Systems Biology, CMPN, Walter Reed Army Institute of Research, Silver Spring, MD, 20910, USA
- The Geneva Foundation, US Army Center for Environmental Health Research, Fort Detrick, MD, 21702-5010, USA
| | - Sanchita P Ghosh
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, 20889, USA.
| | - Rasha Hammamieh
- Medical Readiness Systems Biology, CMPN, Walter Reed Army Institute of Research, Silver Spring, MD, 20910, USA
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