| Literature DB >> 26785338 |
Rupak Pathak1, Amrita K Cheema2,3, Simina M Boca4,5, Kimberly J Krager6, Martin Hauer-Jensen7,8, Nukhet Aykin-Burns9.
Abstract
Ionizing radiation (IR) is an integral component of our lives due to highly prevalent sources such as medical, environmental, and/or accidental. Thus, understanding of the mechanisms by which radiation toxicity develops is crucial to address acute and chronic health problems that occur following IR exposure. Immediate formation of IR-induced free radicals as well as their persistent effects on metabolism through subsequent alterations in redox mediated inter- and intracellular processes are globally accepted as significant contributors to early and late effects of IR exposure. This includes but is not limited to cytotoxicity, genomic instability, fibrosis and inflammation. Damage to the critical biomolecules leading to detrimental long-term alterations in metabolic redox homeostasis following IR exposure has been the focus of various independent investigations over last several decades. The growth of the "omics" technologies during the past decade has enabled integration of "data from traditional radiobiology research", with data from metabolomics studies. This review will focus on the role of tetrahydrobiopterin (BH4), an understudied redox-sensitive metabolite, plays in the pathogenesis of post-irradiation normal tissue injury as well as how the metabolomic readout of BH4 metabolism fits in the overall picture of disrupted oxidative metabolism following IR exposure.Entities:
Keywords: ionizing radiation; metabolomics; oxidative stress; tetrahydrobiopterin
Year: 2015 PMID: 26785338 PMCID: PMC4665563 DOI: 10.3390/antiox4010068
Source DB: PubMed Journal: Antioxidants (Basel) ISSN: 2076-3921
Figure 1Major pathways by which BH4 deficiency-mediated fibrosis manifests following IR. BH4, tetrahydrobiopterin; IR, Ionizing radiation
Possible biomarkers reported in selected recent metabolomics studies were either downregulated or upregulated in irradiated animals.
| Possible Biomarkers | Method Used | Animal Models | Specimen | Year Reference |
|---|---|---|---|---|
| UPLC-ESI-QTOFMS, SID-MRM-MS | Mice | Liver tissue | 2014 [ | |
| Bilirubin, AMD, cytidine, glycerophospholipids, 6-acetyl- | ||||
| Secondary bile acids, PS (22:1/0:0) | ||||
| Glutathione, carnitines, lysoPCs | ||||
| Glycocholic acid, | ||||
| GC-TOFMS | Rats | Serum | 2012 [ | |
| Inositol, serine, lysine, glycine, threonine, glycerol | ||||
| Isocitrate, gluconic acid, stearic acid | ||||
| UPLC-ESI-QTOFMS | Rhesus monkeys | Urine | 2012 [ | |
| 1H NMR | Mice | Serum | 2011 [ | |
| Lactate, amino acids, choline, lipid signals | ||||
| Glucose signals | ||||
| UPLC-ESI-QTOFMS | Rats | Urine | 2011 [ | |
| thymidine, 2′-deoxyuridine, 2′-deoxyxanthosine, | ||||
| GC-MS | Rats | Urine | 2009 [ | |
| Glyoxylate, threonate, thymine, uracil, | ||||
| Citrate, 2-oxoglutarate, adipate, pimelate, suberate, azelaate | ||||
| UPLC-QTOFMS | Mice | Urine | 2009 [ | |
| thymidine, 2′-deoxyuridine, 2′-deoxyxanthosine, xanthine, xanthosine | ||||
| UPLC–TOFMS | Mice | Urine | 2008 [ | |