Literature DB >> 34546216

Acute Proteomic Changes in Non-human Primate Kidney after Partial-body Radiation with Minimal Bone Marrow Sparing.

Weiliang Huang1, Jianshi Yu1, Ann M Farese2, Thomas J MacVittie2, Maureen A Kane1.   

Abstract

ABSTRACT: Near total body exposure to high-dose ionizing radiation results in organ-specific sequelae, including acute radiation syndromes and delayed effects of acute radiation exposure. Among these sequelae are acute kidney injury and chronic kidney injury. Reports that neither oxidative stress nor inflammation are dominant mechanisms defining radiation nephropathy inspired an unbiased, discovery-based proteomic interrogation in order to identify mechanistic pathways of injury. We quantitatively profiled the proteome of kidney from non-human primates following 12 Gy partial body irradiation with 2.5% bone marrow sparing over a time period of 3 wk. Kidney was analyzed by liquid chromatography-tandem mass spectrometry. Out of the 3,432 unique proteins that were identified, we found that 265 proteins showed significant and consistent responses across at least three time points post-irradiation, of which 230 proteins showed strong upregulation while 35 proteins showed downregulation. Bioinformatics analysis revealed significant pathway and upstream regulator perturbations post-high dose irradiation and shed light on underlying mechanisms of radiation damage. These data will be useful for a greater understanding of the molecular mechanisms of injury in well-characterized animal models of partial body irradiation with minimal bone marrow sparing. These data may be potentially useful in the future development of medical countermeasures.
Copyright © 2021 Health Physics Society.

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Year:  2021        PMID: 34546216     DOI: 10.1097/HP.0000000000001475

Source DB:  PubMed          Journal:  Health Phys        ISSN: 0017-9078            Impact factor:   1.316


  1 in total

1.  Animal Models: A Non-human Primate and Rodent Animal Model Research Platform, Natural History, and Biomarkers to Predict Clinical Outcome.

Authors:  Thomas J MacVittie; Ann M Farese; Maureen A Kane
Journal:  Health Phys       Date:  2021-10-01       Impact factor: 2.922

  1 in total

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