|
| Status |
Public on Nov 16, 2023 |
| Title |
Early to Sustained Impacts of Lethal Radiation on Circulating miRNAs in a Minipig Model |
| Organism |
Sus scrofa |
| Experiment type |
Non-coding RNA profiling by high throughput sequencing
|
| Summary |
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 intervention.
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| Overall design |
30 pigs at different time points after radiation.
|
| |
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| Contributor(s) |
Chakraborty N, Holmes-Hampton GP, Gautam A, Kumar R, Hritzo B, Legessa B, Dimitrov G, Ghosh SP, Hammamieh R |
| Citation(s) |
37898651 |
| |
| Submission date |
Oct 02, 2023 |
| Last update date |
Nov 16, 2023 |
| Contact name |
Aarti Gautam |
| E-mail(s) |
aarti.gautam.civ@health.mil
|
| Phone |
301-619-7683
|
| Organization name |
WRAIR
|
| Department |
Medical Readiness Systems Biology
|
| Street address |
503 Robert Grant Avenue
|
| City |
Silver Spring |
| State/province |
MD |
| ZIP/Postal code |
20910 |
| Country |
USA |
| |
|
| Platforms (1) |
| GPL20983 |
Illumina NextSeq 500 (Sus scrofa) |
|
| Samples (30)
|
|
| Relations |
| BioProject |
PRJNA1023285 |
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