{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T12:56:37Z","timestamp":1777553797287,"version":"3.51.4"},"reference-count":28,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"the Chongqing Science and Technology Bureau and Health Commission Joint Medical Project","award":["2022ZDXM034"],"award-info":[{"award-number":["2022ZDXM034"]}]},{"name":"Tianjin Health Research Project","award":["TJWJ2025MS054"],"award-info":[{"award-number":["TJWJ2025MS054"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Dose-Response"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Develop a high-throughput, fully automated workflow for dicentric chromosome and micronucleus assays to enable rapid, accurate radiation dose estimation in radiological or nuclear emergencies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Blood from four healthy donors was irradiated (0\u20135.00 Gy,\n                      <jats:sup>137<\/jats:sup>\n                      Cs \u03b3-rays), repaired for 2 h at 37\u00b0C, and processed via an integrated platform (Chromprep + Metafer 4 + LS-CAS). Dicentric chromosomes (per 100 cells) and micronucleus (per 1,000 cells) were automatically scored. Dose\u2013response data fitted to a quadratic model and validated using blinded samples with 95% confidence intervals accounting for Poisson statistics and curve uncertainty.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The automated dose-response curves for chromosome aberrations and micronuclei are\n                      <jats:italic toggle=\"yes\">y<\/jats:italic>\n                      =8.4642x\n                      <jats:sup>2<\/jats:sup>\n                      -3.7786x+1.5439 and\n                      <jats:italic toggle=\"yes\">y<\/jats:italic>\n                      =23.348x\n                      <jats:sup>2<\/jats:sup>\n                      +60.469x-1.6856, respectively. Calibration curves showed excellent fit (\n                      <jats:italic toggle=\"yes\">R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      =0.997 fordicentric chromosome;\n                      <jats:italic toggle=\"yes\">R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      =0.996 formicronucleus). All validation doses fell within estimated confidence intervals. The system achieved end-to-end automation with minimal human intervention while maintaining high accuracy and reproducibility.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This workflow provides a standardized, scalable, and reliable solution for rapid biodosimetry in mass-casualty radiological incidents, effectively bridging laboratory capacity and real-world emergency response needs.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/15593258261435382","type":"journal-article","created":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T07:35:08Z","timestamp":1774337708000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["High-Throughput Automated Construction and Validation of Dicentric Chromosome and Micronucleus Biodosimetry Calibration Curves for Radiation Emergency Response"],"prefix":"10.1177","volume":"24","author":[{"given":"Mengyun","family":"Wu","sequence":"first","affiliation":[{"name":"Chongqing Center for Disease Control and Prevention"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haojun","family":"Li","sequence":"additional","affiliation":[{"name":"Chinese Academy of Medical Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huadong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Chongqing Center for Disease Control and Prevention"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"Chongqing Center for Disease Control and Prevention"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2420-1224","authenticated-orcid":false,"given":"Yeqing","family":"Gu","sequence":"additional","affiliation":[{"name":"Chinese Academy of Medical Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2026,3,24]]},"reference":[{"key":"e_1_3_5_2_2","doi-asserted-by":"publisher","DOI":"10.1093\/rpd\/ncac264"},{"key":"e_1_3_5_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13577-013-0059-6"},{"key":"e_1_3_5_4_2","doi-asserted-by":"publisher","DOI":"10.1080\/10810730.2018.1423650"},{"key":"e_1_3_5_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mrgentox.2015.07.011"},{"key":"e_1_3_5_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00259-008-0767-4"},{"key":"e_1_3_5_7_2","doi-asserted-by":"publisher","DOI":"10.1093\/annhyg\/mev079"},{"key":"e_1_3_5_8_2","doi-asserted-by":"publisher","DOI":"10.1097\/HP.0000000000000097"},{"key":"e_1_3_5_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fertnstert.2018.05.006"},{"key":"e_1_3_5_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mrgentox.2013.05.013"},{"key":"e_1_3_5_11_2","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics13203191"},{"key":"e_1_3_5_12_2","doi-asserted-by":"publisher","DOI":"10.1097\/HP.0000000000000077"},{"key":"e_1_3_5_13_2","unstructured":"Cytogenetic Dosimetry: Applications in Preparedness for and Response to Radiation Emergencies. 2011. https:\/\/www.iaea.org\/publications\/8735\/cytogenetic-dosimetry-applications-in-preparedness-for-and-response-to-radiation-emergencies. Accessed December 14 2025."},{"key":"e_1_3_5_14_2","doi-asserted-by":"publisher","unstructured":"Hongming L Rui Q Junli L. Advances in dose estimation methods for 90Y microsphere radioembolization therapy. doi:10.3760\/cma.j.cn112271-20240418-00142.","DOI":"10.3760\/cma.j.cn112271-20240418-00142"},{"key":"e_1_3_5_15_2","unstructured":"Deep learning applied to dose prediction in external radiation therapy: A narrative review - PubMed. https:\/\/pubmed.ncbi.nlm.nih.gov\/39138047\/. Accessed December 14 2025."},{"key":"e_1_3_5_16_2","doi-asserted-by":"publisher","DOI":"10.1667\/RADE-20-00167.1"},{"key":"e_1_3_5_17_2","doi-asserted-by":"publisher","DOI":"10.31661\/jbpe.v0i0.2401-1713"},{"key":"e_1_3_5_18_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-94678-8"},{"key":"e_1_3_5_19_2","doi-asserted-by":"publisher","DOI":"10.1093\/jrr\/rrx052"},{"key":"e_1_3_5_20_2","unstructured":"National Health Commission of the People\u2019s Republic of China. GBZ\/T 28236-2011 Estimation of Biological Dose for Chromosomal Aberrations. 2023. https:\/\/ndls.org.cn\/standard\/detail\/df86ae2ebf7c2c8fa898e2a9e35a9451. Accessed 14 December 2025."},{"key":"e_1_3_5_21_2","unstructured":"National Health Commission of the People\u2019s Republic of China. GBZ\/T 328-2023 Standard for the method of micronucleus detection in lymphocytes on occupational health examination for radiation workers and exposure dose estimation. 2023. https:\/\/www.codeofchina.com\/standard\/GBZT328-2023.html. Accessed 14 December 2025."},{"key":"e_1_3_5_22_2","doi-asserted-by":"publisher","DOI":"10.1366\/14-07561"},{"key":"e_1_3_5_23_2","doi-asserted-by":"publisher","DOI":"10.1177\/1559325819840852"},{"key":"e_1_3_5_24_2","doi-asserted-by":"publisher","DOI":"10.1667\/RADE-22-00202.1"},{"key":"e_1_3_5_25_2","doi-asserted-by":"publisher","DOI":"10.1097\/HP.0000000000001285"},{"key":"e_1_3_5_26_2","doi-asserted-by":"publisher","DOI":"10.1080\/09553002.2024.2338531"},{"key":"e_1_3_5_27_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00411-023-01030-7"},{"key":"e_1_3_5_28_2","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/250\/1\/012002"},{"key":"e_1_3_5_29_2","doi-asserted-by":"publisher","DOI":"10.1615\/jenvpathtoxoncol.v23.i3.40"}],"container-title":["Dose-Response"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/15593258261435382","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/15593258261435382","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/15593258261435382","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T18:03:06Z","timestamp":1777399386000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/15593258261435382"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":28,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["10.1177\/15593258261435382"],"URL":"https:\/\/doi.org\/10.1177\/15593258261435382","relation":{},"ISSN":["1559-3258","1559-3258"],"issn-type":[{"value":"1559-3258","type":"print"},{"value":"1559-3258","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1]]},"article-number":"15593258261435382"}}