Radiation Metabolomics

Radiation Metabolomics

In order to prepare for the possible detonation of a radiological dispersal device (RDD or so-called "dirty bomb"), improvised nuclear device (IND), or radiological accidents, the development of rapid, minimally invasive, and field-deployable biodosimetry is a high priority. Our project addresses this priority with the powerful global profiling capabilities of metabolomics, a biomarker discovery platform uniquely suited for the analysis of easily accessible biofluids, such as blood and urine, that require minimally- or non-invasive procedures to acquire. We have established the field of radiation metabolomics, and have published a series of seminal papers on responses at the small molecule level after radiation. Metabolomics has been used to define signatures of metabolites in urine from mice, rats, non-human primates, and humans.

Center for High-Throughput Minimally-Invasive Radiation Biodosimetry

After a large-scale radiological event, there will be a major need to assess, within a few days, the radiation doses received by tens or hundreds of thousands of individuals. The Center for High Throughput Minimally Invasive Radiation Biodosimetry is a research consortium to develop practical, high throughput, minimally-invasive radiation dose assessment devices and techniques to meet this need.

The Fornace lab is a member of the consortium which includes Columbia University, Georgetown University, Lovelace Repiratory Institute, NYU School of Medicine, Translational Genomics Research Institute, and the University of Bern.

The Center for High Throughput Minimally Invasive Radiation Biodosimetry is one of the Centers for Medical Countermeasures against Radiation (CMCR) supported by the National Institute of Allergy and Infectious Diseases (NIAID) through grant: U19 AI067773.

In the News

Human Total-Body Irradiation

In a situation of a radiological accident or dirty bomb dispersal, rapid triage of potentially exposed individuals will be of importance. For this, identification of radiation biomarkers through metabolomics was expanded to a human population. Patients undergoing total body irradiation prior to hematopoietic stem cell transplantation had urine collected before and after one dose of 125cGy (6h post irradiation). Metabolomic profiling, followed by validation of the markers through tandem mass spectrometry, and quantification revealed disturbances in two major pathways, as described below.
•Developing a panel of biomarkers from human biofluids has the potential to evolve into a rapid method of identifying exposed individuals for effective triage in a situation where timely and precise diagnosis would be necessary.

 

Internal Emmiters

 

In the event of a radiological event, radionuclides are feared as they will persist in the food chain and environment.  Consumption of water and food will lead to internal exposure, leading to additional radiation exposure over time. We aim to understand the differences between internal and external exposure in terms of biomarker identification and metabolic pathways that are altered. The first study in collaboration with Lovelace Respiratory Research Institute focused on internal exposure to 137Cs. The study lasted for 30 days and mice received cumulative doses between 1.95 and 9.91 Gy (time dependent exposure). As highlighted in the multidimensional scaling plot, the overall metabolic profiles lead to clustering of control versus treated mice in two distinct groups. The differences between external and internal gamma exposure regarding urinary marker identification are highlighted in the table.

 

Targeted Metabolomics and Lipidomics

•While untargeted metabolomics focuses on global changes and profiling, targeted metabolomics assesses only specific metabolites or pathways. Additional benefits include, with enrichment of samples, to quantify molecules with extremely low concentrations in biological samples. A targeted metabolomics approach was undertaken to assess changes in the serum of irradiated mice.


•The AbsoluteIDQTM p180 kit allowed for the identification of a large number of statistically significant ions, belonging in pathways and categories depicted in the pie chart.


•With the targeted oxylipins method we were to identify and quantify the changes in specific categories of low concentration lipids and show for the first time a significant shift from an anti-inflammatory (omega-3) to a pro-inflammatory (omega 6) phenotype following exposure to ionizing radiation (Figures 3A and 3B).

 

Omega 6 Proinflammatory

 

Omega 3 Anti-Inflammatory

 

Selected Collaborator Publications

2017

Pannkuk EL, Fornace AJ Jr, Laiakis EC.  Metabolomic Applications in Radiation Biodosimetry: Exploring Radiation Effects Through Small Molecules. Int J Radiat Biol 2017.

2016

Goudarzi, M., Mak, T. D., Jacobs, J. P., Moon, B. H., Strawn, S. J., Braun, J., Brenner, D. J., Fornace, A. J., Jr., and Li, H. H. An Integrated Multi-Omic Approach to Assess Radiation Injury on the Host-Microbiome Axis. Radiat. Res. 186: 219-234, 2016. PMID: 27512828

Chen Z, Coy SL, Pannkuk EL, Laiakis EC, Hall AB, Fornace AJ et al. Rapid and High-Throughput Detection and Quantitation of Radiation Biomarkers in Human and Nonhuman Primates by Differential Mobility Spectrometry-Mass Spectrometry. J Am Soc Mass Spectrom 2016.

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; 788: 41-49.

Goudarzi, M., Chauthe, S., Strawn, S. J., Weber, W. M., Brenner, D. J., and Fornace, A. J. Quantitative Metabolomic Analysis of Urinary Citrulline and Calcitroic Acid in Mice after Exposure to Various Types of Ionizing Radiation. Int J Mol Sci 17: 2016. PMID: 27213362

Laiakis EC, Strawn SJ, Brenner DJ, Fornace AJ Assessment of Saliva as a Potential Biofluid for Biodosimetry: A Pilot Metabolomics Study in Mice. Radiat Res 2016.

Pannkuk EL, Laiakis EC, Authier S, Wong K, Fornace AJ Targeted metabolomics of nonhuman primate serum after exposure to ionizing radiation: potential tools for high- throughput biodosimetry. RSC Advances 2016; 6: 51192-51202.

Pannkuk EL, Laiakis EC, Mak TD, Astarita G, Authier S, Wong K et al. A lipidomic and metabolomic serum signature from nonhuman primates exposed to ionizing radiation. Metabolomics 2016; 12: 1-11.

2015

Astarita G, Paglia G. Applications of ion mobility mass spectrometry in metabolomics. In: Advanced LC-MS Applications in Metabolomics. Borchers C, Han J, Parker C (Eds). Future Medicine, London, UK. DOI 10.4155/FSEB2013.14.63.

Goudarzi M, Weber WM, Chung J, Doyle-Eisele M, Melo DR, Mak TD, Strawn SJ, Brenner DJ, Guilmette R, Fornace AJ. Serum dyslipidemia is induced by internal exposure to strontium-90 in mice, lipidomic profiling using a data-independent LC/MS approach. J Proteome Res. 2015 Aug 11.

Laiakis EC, Trani D, Moon BH, Strawn SJ, Fornace AJ Metabolomic profiling of urine samples from mice exposed to protons reveals radiation quality and dose specific differences. Radiat Res 2015; 183: 382-390.

Goudarzi M, Weber WM, Mak TD, Chung J, Doyle-Eisele M, Melo DR, Strawn SJ, Brenner DJ, Guilmette RA, Fornace AJ Jr. A Comprehensive Metabolomic Investigation in Urine of Mice Exposed to Strontium-90. Radiat Res. 2015 May 26.

Mak TD, Laiakis EC, Goudarzi M, Fornace AJ Selective paired ion contrast analysis: a novel algorithm for analyzing postprocessed LC-MS metabolomics data possessing high experimental noise. Anal Chem 2015; 87: 3177-3186.

Paglia G, Menikarachchi LC, Langridge J, Astarita G. Travelling-wave ion mobility-mass spectrometry in metabolomics: workflows and bioinformatic tools. In: Identification and Data Processing Methods in Metabolomics. Rudaz S (Ed). Future Medicine, London, UK. DOI 10.4155/FSEB2013.14.22. 

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: 121-133.

2014

Astarita G, Kendall AC, Dennis EA, Nicolaou A. Targeted lipidomics strategies for oxygenated metabolites of polyunsaturated fatty acids. Biochim Biophys Acta. 2014 Dec 5. pii: S1388-1981(14)00251-0. doi: 10.1016/j.bbalip.2014.11.012. [Epub ahead of print] Review. 

Astarita G, McKenzie JH, Wang B, Strassburg K, Doneanu A, Johnson J, Baker A, Hankemeier T, Murphy J, Vreeken RJ, Langridge J, Kang JX. A Protective Lipidomic Biosignature Associated with a Balanced Omega-6/Omega-3 Ratio in fat-1 Transgenic Mice. PLoS One. 2014 Apr 23;9(4).

Goudarzi, M., Weber, W. M., Mak, T. D., Chung, J., Doyle-Eisele, M., Melo, D. R., Brenner, D. J., Guilmette, R. A., and Fornace, A. J. Jr. Metabolomic and lipidomic analysis of serum from mice exposed to an internal emitter, Cesium-137, using a shotgun LC-MS approach. J Proteome Res 2014. PMCID: PMC4286155 

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: 350-361.

Laiakis EC, Strassburg K, Bogumil R, Lai S, Vreeken RJ, Hankemeier T, Langridge J, Plumb RS, Fornace AJ Jr, Astarita G. Metabolic Phenotyping Reveals a Lipid Mediator Response to Ionizing Radiation. J Proteome Res. 2014 Sep 5;13(9):4143-54. doi: 10.1021/pr5005295. Epub 2014 Aug 15.

Mak TD, Laiakis EC, Goudarzi M, Fornace AJ MetaboLyzer: a novel statistical workflow for analyzing Postprocessed LC-MS metabolomics data. Anal Chem 2014; 86: 506-513.

Mak, T. D., Tyburski, J. B., Krausz, K. W., Kalinich, J. F., Gonzalez, F. J., and Fornace, A. J Jr. Exposure to ionizing radiation reveals global dose- and time-dependent changes in the urinary metabolome of rat. Metabolomics Epub ahead of Print,  2014.

Paglia G, Angel P, Williams JP, Richardson K, Olivos HJ, Thompson JW, Menikarachchi L, Lai S, Walsh C, Moseley A, Plumb RS, Grant DF, Palsson BO, Langridge J, Geromanos S, Astarita G. Ion Mobility-Derived Collision Cross Section As an Additional Measure for Lipid Fingerprinting and Identification. Anal Chem. 2014 Dec 29. [Epub ahead of print] 

Paglia G, Williams JP, Menikarachchi L, Thompson JW, Tyldesley-Worster R, Halldórsson S, Rolfsson O, Moseley A, Grant D, Langridge J, Palsson BO, Astarita G. Ion Mobility Derived Collision Cross Sections to Support Metabolomics Applications. Anal Chem. 2014 Mar 28. [Epub ahead of print] 

Sahar S, Masubuchi S, Eckel-Mahan K, Vollmer S, Galla L, Ceglia N, Masri S, Barth TK, Grimaldi B, Oluyemi O, Astarita G, Hallows WC, Piomelli D, Imhof A, Baldi P, Denu JM, Sassone-Corsi P. Circadian Control of Fatty Acid Elongation by SIRT1-mediated Deacetylation of Acetyl-CoA Synthetase 1. J Biol Chem. 2014 Jan 14. [Epub ahead of print] 

2013

Astarita G and Langridge J. An Emerging Role for Metabolomics in Nutrition Science. J Nutrigenet Nutrigenomics 2013;6:179-198.

Bellet MM, Nakahata Y, Boudjelal M, Watts E, Mossakowska DE, Edwards KA, Cervantes M, Astarita G, Loh C, Ellis JL, Vlasuk GP, Sassone-Corsi P. Pharmacological modulation of circadian rhythms by synthetic activators of the deacetylase SIRT1. Proc Natl Acad Sci U S A. 2013 Jan 22.

Hyduke, D. R., Laiakis, E. C., Li, H. H., and Fornace, A. J. Jr. Identifying radiation exposure biomarkers from mouse blood transcriptome. Int J Bioinform Res Appl 9: 365-385, 2013. PMCID: PMC4180524.

2012

Laiakis EC, Hyduke DR, Fornace AJ Comparison of mouse urinary metabolic profiles after exposure to the inflammatory stressors γ radiation and lipopolysaccharide. Radiat Res 2012; 177: 187-199.

Suman S, Datta K, Trani D, Laiakis EC, Strawn SJ, Fornace AJ Relative biological effectiveness of 12C and 28Si radiation in C57BL/6J mice. Radiat Environ Biophys 2012; 51: 303-309.

2011

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: 802-823.

Others: 

Astarita G, Kate Yu. New Frontiers for Mass Spectrometry in Lipidomics, Part I. LCGC, Feb 2012. 

Astarita G, Kate Yu. New Frontiers for Mass Spectrometry in Lipidomics, Part II. LCGC, Jun 2012. 

Astarita G The omega-3 Odyssey. The Analytical Scientist. September 2013, Issue#0813. 

Interview with Giuseppe Astarita. January MetaboNews 2014 

Astarita G. Metabolomics In Food And Nutrition Laboratories. LCGC APRIL 1, 2014.