RNA N6-methyladenosine modification-based biomarkers for absorbed ionizing radiation dose estimation

Hongxia Chen, Xi Zhao, Wei Yang, Qi Zhang, Rongjiao Hao, Siao Jiang, Huihui Han, Zuyin Yu, Shuang Xing, Changjiang Feng, Qianqian Wang, Hao Lu, Yuanfeng Li, Cheng Quan, Yiming Lu () and Gangqiao Zhou ()
Additional contact information
Hongxia Chen: Beijing Institute of Radiation Medicine
Xi Zhao: Beijing Institute of Radiation Medicine
Wei Yang: the First Medical Center of Chinese PLA General Hospital
Qi Zhang: Beijing Institute of Radiation Medicine
Rongjiao Hao: Beijing Institute of Radiation Medicine
Siao Jiang: Beijing Institute of Radiation Medicine
Huihui Han: Beijing Institute of Radiation Medicine
Zuyin Yu: Beijing Institute of Radiation Medicine
Shuang Xing: Beijing Institute of Radiation Medicine
Changjiang Feng: the First Medical Center of Chinese PLA General Hospital
Qianqian Wang: the First Medical Center of Chinese PLA General Hospital
Hao Lu: Beijing Institute of Radiation Medicine
Yuanfeng Li: Beijing Institute of Radiation Medicine
Cheng Quan: Beijing Institute of Radiation Medicine
Yiming Lu: Beijing Institute of Radiation Medicine
Gangqiao Zhou: Beijing Institute of Radiation Medicine

Nature Communications, 2023, vol. 14, issue 1, 1-16

Abstract: Abstract Radiation triage and biological dosimetry are critical for the medical management of massive potentially exposed individuals following radiological accidents. Here, we performed a genome-wide screening of radiation-responding mRNAs, whose N6-methyladenosine (m6A) levels showed significant alteration after acute irradiation. The m6A levels of three genes, Ncoa4, Ate1 and Fgf22, in peripheral blood mononuclear cells (PBMCs) of mice showed excellent dose-response relationships and could serve as biomarkers of radiation exposure. Especially, the RNA m6A of Ncoa4 maintained a high level as long as 28 days after irradiation. We demonstrated its responsive specificity to radiation, conservation across the mice, monkeys and humans, and the dose-response relationship in PBMCs from cancer patients receiving radiation therapy. Finally, NOCA4 m6A-based biodosimetric models were constructed for estimating absorbed radiation doses in mice or humans. Collectively, this study demonstrated the potential feasibility of RNA m6A in radiation accidents management and clinical applications.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-023-42665-w Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42665-w

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-023-42665-w

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().