Assessment of saliva as a potential biofluid for biodosimetry: A pilot metabolomics study in mice

Radiation Research

Volumn 186, Issue 1, 2016, Pages 92-97

  Laiakis, Evagelia C ^a   Strawn, Steven J ^b   Brenner, David J ^c   Fornace, Albert J ^a,d  

^a GEORGETOWN UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b ProMetic Life Sciences Inc   (Canada)

^c Och Spine at New York Presbyterian Hospitals   (United States)

^d GEORGETOWN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3 OXO OCTADECANOIC ACID; AMINO ACID; DODECANEDIOIC ACID; FATTY ACID; NICOTINAMIDE; NICOTINIC ACID; PHENYLALANINE; PROLINE; UNCLASSIFIED DRUG; BIOLOGICAL MARKER;

ANIMAL EXPERIMENT; ARTICLE; DOSIMETRY; LIQUID CHROMATOGRAPHY; MALE; MASS SPECTROMETRY; METABOLOMICS; MOUSE; NONHUMAN; PILOT STUDY; PRIORITY JOURNAL; PYRIMIDINE METABOLISM; RADIATION DOSE; SALIVA ANALYSIS; SENSITIVITY AND SPECIFICITY; ANIMAL; C57BL MOUSE; METABOLISM; PROCEDURES; RADIATION RESPONSE; RADIOMETRY; SALIVA; WHOLE BODY RADIATION;

ANIMALS; BIOMARKERS; MALE; METABOLOMICS; MICE; MICE, INBRED C57BL; PILOT PROJECTS; RADIOMETRY; SALIVA; WHOLE-BODY IRRADIATION;

EID: 84979967823     PISSN: 00337587     EISSN: 19385404     Source Type: Journal    
DOI: 10.1667/RR14433.1     Document Type: Article

References (24)

1. Coy SL, Cheema AK, Tyburski JB, Laiakis EC, Collins SP, Fornace A. Radiation metabolomics and its potential in biodosimetry. Int J Radiat Biol 2011; 87: 802-23
2. Rios CI, Cassatt DR, Dicarlo AL, Macchiarini F, Ramakrishnan N, Norman MK, et al. Building the strategic national stockpile through the NIAID Radiation Nuclear Countermeasures Program. Drug Dev Res 2014; 75: 23-8
3. Sullivan JM, Prasanna PG, Grace MB, Wathen LK, Wallace RL, Koerner JF, et al. Assessment of biodosimetry methods for a masscasualty radiological incident: medical response and management considerations. Health Phys 2013; 105: 540-54
4. Goudarzi M, Mak TD, Chen C, Smilenov LB, Brenner DJ, Fornace AJ. The effect of low dose rate on metabolomic response to radiation in mice. Radiat Environ Biophys 2014; 53: 645-57
5. Laiakis EC, Mak TD, Anizan S, Amundson SA, Barker CA, Wolden SL, et al. Development of a metabolomic radiation signature in urine from patients undergoing total body irradiation. Radiat Res 2014; 181: 350-61
6. Laiakis EC, Strassburg K, Bogumil R, Lai S, Vreeken RJ, Hankemeier T, et al. Metabolic phenotyping reveals a lipid mediator response to ionizing radiation. J Proteome Res 2014; 13: 4143-54
7. Laiakis EC, Pannkuk EL, Diaz-Rubio ME, Wang YW, Mak TD, Simbulan-Rosenthal CM, et al. Implications of genotypic differences in the generation of a urinary metabolomics radiation signature. Mutat Res 2016. (Epub ahead of print.)
8. Pannkuk EL, Laiakis EC, Authier S, Wong K, Fornace AJ. Global metabolomic identification of long-Term dose-dependent urinary biomarkers in nonhuman primates exposed to ionizing radiation. Radiat Res 2015; 184: 121-33
9. Jones JW, Tudor G, Li F, Tong Y, Katz B, Farese AM, et al. Citrulline as a biomarker in the murine total-body irradiation model: correlation of circulating and tissue citrulline to small intestine epithelial histopathology. Health Phys 2015; 109: 452-65
10. Mak TD, Tyburski JB, Krausz KW, Kalinich JF, Gonzalez FJ, Fornace AJ. Exposure to ionizing radiation reveals global dose- and time-dependent changes in the urinary metabolome of rat. Metabolomics 2015; 11: 1082-94
11. Menon SS, Uppal M, Randhawa S, Cheema MS, Aghdam N, Usala RL, et al. Radiation metabolomics: current status and future directions. Front Oncol 2016; 6: 20
12. Grundmann O, Mitchell GC, Limesand KH. Sensitivity of salivary glands to radiation: from animal models to therapies. J Dent Res 2009; 88: 894-903
13. Pernot E, Cardis E, Badie C. Usefulness of saliva samples for biomarker studies in radiation research. Cancer Epidemiol Biomarkers Prev 2014; 23: 2673-80
14. Mak TD, Laiakis EC, Goudarzi M, Fornace AJ. MetaboLyzer: a novel statistical workflow for analyzing postprocessed LC-MS metabolomics data. Anal Chem 2014; 86: 506-13
15. Kanehisa M, Goto S. KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res 2000; 28: 27-30
16. Kanehisa M, Goto S, Sato Y, Kawashima M, Furumichi M, Tanabe M. Data, information, knowledge and principle: back to metabolism in KEGG. Nucleic Acids Res 2014; 42: D199-205
17. Wishart DS, Jewison T, Guo AC, Wilson M, Knox C, Liu Y, et al. HMDB 3.0-The Human Metabolome Database in 2013. Nucleic Acids Res 2013; 41: D801-7
18. Smith CA, O'Maille G, Want EJ, Qin C, Trauger SA, Brandon TR, et al. METLIN: a metabolite mass spectral database. Ther Drug Monit 2005; 27: 747-51
19. Soni S, Agrawal P, Kumar N, Mittal G, Nishad DK, Chaudhury NK, et al. Salivary biochemical markers as potential acute toxicity parameters for acute radiation injury: a study on small experimental animals. Hum Exp Toxicol 2016; 35: 221-8
20. Zhang Y, Sun J, Lin C-C, Abemayor E, Wang MB, Wong DT. The emerging landscape of salivary diagnostics. Oral Health Dent Manag 2014; 13: 200-10
21. Mikkonen JJW, Herrala M, Soininen P, Lappalainen R, Tja'derhane L, Seitsalo H, et al. Metabolic profiling of saliva in patients with primary Sjogren's syndrome. Metabolomics: Open Access 2013; 3: 128 (http: //bit.ly/1qJiTZ5)
22. Tsuruoka M, Hara J, Hirayama A, Sugimoto M, Soga T, Shankle WR, et al. Capillary electrophoresis mass spectrometry based metabolome analysis of serum and saliva from neurodegenerative dementia patients. Electrophoresis 2013; 34: 2865-72
23. Dicarlo AL, Maher C, Hick JL, Hanfling D, Dainiak N, Chao N, et al. Radiation injury after a nuclear detonation: medical consequences and the need for scarce resources allocation. Disaster Med Public Health Prep 2011; 5: S32-44
24. Johnson CH, Patterson AD, Krausz KW, Kalinich JF, Tyburski JB, Kang DW, et al. Radiation metabolomics. 5. Identification of urinary biomarkers of ionizing radiation exposure in nonhuman primates by mass spectrometry-based metabolomics. Radiat Res 2012; 178: 328-40