{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:54:01Z","timestamp":1760237641166,"version":"build-2065373602"},"reference-count":59,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2020,6,8]],"date-time":"2020-06-08T00:00:00Z","timestamp":1591574400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U19-AI067773"],"award-info":[{"award-number":["U19-AI067773"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["5 T32 CA 9686-20","P30CA051008"],"award-info":[{"award-number":["5 T32 CA 9686-20","P30CA051008"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Metabolites"],"abstract":"<jats:p>Due to risks from potential exposures to ionizing radiation (IR), improved radiological countermeasures are required, as well as rapid high-throughput biodosimetry. Genotypic variation in the general population contributes to differences in radiosensitivity that may affect biodosimetry accuracy. Previous studies utilized radiosensitive mutant mouse models (Parp1\u2212\/\u2212 and Atm\u2212\/\u2212) to determine the effects of genotypic deficiency on radiation signatures. Here, we extend this approach by examining changes in the urinary metabolome in a hematopoietic (HP) resistant mouse model (p53\u2212\/\u2212) after IR exposure. As p53 is a primary regulator in radiation response and apoptosis, limited hematopoietic stem cell apoptosis leads to reduced mortality at doses of ~8\u201310 Gy but increased mortality at higher doses (&gt;15 Gy) due to mitotic catastrophe in gastrointestinal (GI) crypt cells. Urine was collected from mice (wild-type (WT), p53+\/\u2212, and p53\u2212\/\u2212) pre-irradiation and at 4 and 24 h after total body irradiation (TBI) (WT: 8 and 10 Gy; p53\u2212\/\u2212: 10 Gy) for metabolic phenotyping using an ultra-performance liquid chromatography mass spectrometry (UPLC-MS) platform. Minimal differences were detected between unirradiated WT, p53+\/\u2212, and p53\u2212\/\u2212 mice. While similar perturbations were observed for metabolites involved in tryptophan, vitamin B6, and histamine pathways, glycine conjugation, and redox metabolism for WT and p53\u2212\/\u2212 mice after TBI, an overall dampened response was observed in p53-deficient mice. Despite comparable metabolite patterns between genotypes, differentiation was achieved through receiver operating characteristic curve analysis with high specificity and sensitivity for carnitine, N1-acetylspermidine, and creatine. These studies highlight that both attenuated and dampened metabolic responses due to genetic variability in the general population need to be addressed in biodosimetry frameworks.<\/jats:p>","DOI":"10.3390\/metabo10060234","type":"journal-article","created":{"date-parts":[[2020,6,9]],"date-time":"2020-06-09T06:34:16Z","timestamp":1591684456000},"page":"234","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Effects of Genetic Variation on Urinary Small Molecule Signatures of Mice after Exposure to Ionizing Radiation: A Study of p53 Deficiency"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4953-9715","authenticated-orcid":false,"given":"Evan L.","family":"Pannkuk","sequence":"first","affiliation":[{"name":"Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4924-9013","authenticated-orcid":false,"given":"Evagelia C.","family":"Laiakis","sequence":"additional","affiliation":[{"name":"Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, USA"},{"name":"Department of Biochemistry and Molecular &amp; Cellular Biology, Georgetown University Medical Center, Washington, DC 20057, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pelagie","family":"Ake","sequence":"additional","affiliation":[{"name":"Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven J.","family":"Strawn","sequence":"additional","affiliation":[{"name":"Department of Biochemistry and Molecular &amp; Cellular Biology, Georgetown University Medical Center, Washington, DC 20057, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Wen","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Biochemistry and Molecular &amp; Cellular Biology, Georgetown University Medical Center, Washington, DC 20057, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Albert J.","family":"Fornace","sequence":"additional","affiliation":[{"name":"Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, USA"},{"name":"Department of Biochemistry and Molecular &amp; Cellular Biology, Georgetown University Medical Center, Washington, DC 20057, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,6,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1151","DOI":"10.1080\/09553002.2016.1269218","article-title":"Metabolomic applications in radiation biodosimetry: Exploring radiation effects through small molecules","volume":"93","author":"Pannkuk","year":"2017","journal-title":"Int. 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