Expression of miR-29a, miR-30c AND miR-150 microRNAs in the Long-Term Period after Chronic Radiation Exposure

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Resumo

Every year, more and more data demonstrate that microRNA expression levels were significantly altered after acute radiation exposure, and microRNAs themselves play an important role in the cellular response to ionizing radiation. However, regulation of microRNA expression after chronic radiation exposure within the low and middle dose range is poorly understood. In the present study, the expression of mature miR-29a, miR-30c, and miR-150 microRNAs in whole blood from 81 individuals in the long-term period after chronic low dose-rate radiation exposure was analyzed by real-time PCR method. The mean age of the studies people was 72 years, and the accumulated radiation doses to red bone marrow (RBM), thymus and peripheral lymphoid organs ranged from 2.13 to 1867.55 mGy and 0.18 to 488.79 mGy, respectively. More than 70 years after the onset of radiation exposure, a statistically significant dose-dependent decrease in miR-30c microRNA expression was found in exposed individuals in RBM, thymus and peripheral lymphoid organs.

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Sobre autores

M. Yanishevskaya

Ural Research Center for Radiation Medicine, FMBA of Russia

Autor responsável pela correspondência
Email: yanishevskaya@urcrm.ru
Rússia, Chelyabinsk, 454141

E. Blinova

Ural Research Center for Radiation Medicine, FMBA of Russia; Chelyabinsk State University

Email: yanishevskaya@urcrm.ru
Rússia, Chelyabinsk, 454141; Chelyabinsk, 454001

A. Akleyev

Ural Research Center for Radiation Medicine, FMBA of Russia; Chelyabinsk State University

Email: yanishevskaya@urcrm.ru
Rússia, Chelyabinsk, 454141; Chelyabinsk, 454001

Bibliografia

  1. Liang L. H., He X. H. Macro-management of microRNAs in cell cycle progression of tumor cells and its implications in anti-cancer therapy // Acta Pharmacol. Sin. 2011. V. 32. № 11. P. 1311–1320. doi: 10.1038/aps.2011.103
  2. Chaudhry M. A., Omaruddin R. A., Kreger B. et al. MicroRNA responses to chronic or acute exposures to low dose ionizing radiation// Mol. Biol. Rep. 2012. V. 39. № 7. P. 7549–7558. doi: 10.1007/s11033-012-1589-9
  3. Metheetrairut C., Slack F. J. MicroRNAs in the ionizing radiation response and in radiotherapy// Curr. Opin. Genet. Dev. 2013. V. 23. № 1. P. 12–19. doi: 10.1016/j.gde.2013.01.002
  4. Weidhaas J. B., Babar I., Nallur S. M. et al. MicroRNAs as potential agents to alter resistance to cytotoxic anticancer therapy// Cancer Res. 2007. V. 67. № 23. P. 11111–11116. doi: 10.1158/0008-5472.CAN-07-2858
  5. Kato M., Paranjape T., Müller R. U. et al. The mir-34 microRNA is required for the DNA damage responsein vivoin C. elegans and in vitro in human breast cancer cells// Oncogene. 2009. V. 28. № 25. P. 2419–2424. doi: 10.1038/onc.2009.106
  6. Ilnytskyy Y., Koturbash I., Kovalchuk O. Radiation-induced bystander effects in vivo are epigenetically regulated in a tissue-specific manner// Environ. Mol. Mutagen. 2009. V. 50. P. 105–113. https://doi.org/10.1002/em.20440
  7. Port M., Herodin F., Valente M., et al. MicroRNA expression for early prediction of late occurring hematologic acute radiation syndrome in baboons // PLoS One. 2016. V. 11. № 11. doi: 10.1371/journal.pone.0165307
  8. Chiba M., Monzen S., Iwaya C. et al. Serum miR-375-3p increase in mice exposed to a high dose of ionizing radiation// Scientific Reports. 2018. V. 8. № 1. P. 1302. doi: 10.1038/s41598-018-19763-7
  9. Gandellini P., Rancati T., Valdagni R., Zaffaroni N. МiRNAs in tumor radiation response: bystanders or participants? // Trends Mol. Med. 2014. V. 20. № 9. P. 529–539. doi: 10.1016/j.molmed.2014.07.004
  10. Блинова Е. А., Котикова А. И., Янишевская М. А., Аклеев А. В. Апоптоз лимфоцитов и полиморфизм генов регуляции апоптоза у лиц, подвергшихся хроническому радиационному воздействию// Мед. радиология и радиационная безопасность. 2020. Т. 65. № 4. С. 36–42. doi: 10.12737/1024-6177-2020-65-4-36-42
  11. Никифоров В. С., Блинова Е. А., Котикова А. И., Аклеев А. В. Транскрипционная активность генов репарации, апоптоза и клеточного цикла (TP53, MDM2, ATM, BAX, BCL-2, CDKN1A, OGG1, XPC, PADI4, MAPK8, NF-KB1, STAT3, GATA3) у хронически облученных людей с различной интенсивностью апоптоза лимфоцитов периферической крови // Вавил. Жур. генетики и селекции. 2022. Т. 26. № 1. С. 50–58. doi: 10.18699/VJGB-22-08. – EDN KBBUEC
  12. Burgio E., Piscitelli P., Migliore L. Ionizing radiation and human health: Reviewing models of exposure and mechanisms of cellular damage. An Epigenetic perspective // Int. J. Environ Res. Public Health. 2018. V. 15. № 9. P. 1971. doi: 10.3390/ijerph15091971
  13. Янишевская М. А., Блинова Е. А., Аклеев А. В. Влияние хронического радиационного воздействия на экспрессию микроРНК человека // Генетика. 2023. Т. 59. № 10. С. 1171–1178.
  14. Силкин C. C., Крестинина Л. Ю., Старцев В. Н. и др. Уральская когорта аварийно-облученного населения // Медицина экстремальных ситуаций. 2019. Т. 21. № 3. С. 393–402.
  15. Degteva M. O., Napier B. A., Tolstykh E. I. et al. Enhancements in the Techa river dosimetry system: TRDS-2016D code for reconstruction of deterministic estimates of dose from environmental exposures // Health Physics. 2019. V. 117. № 4. P. 378–387. doi: https://doi.org/10.1097/HP.0000000000001067
  16. СанПиН 2.6.1.2523-09. Нормы радиационной безопасности (НРБ-99/2009). М.: Федеральный центр гигиены и эпидемиологии Роспотребнадзора, 2009. –100 с. https://docs.cntd.ru/document/902170553 (дата обращения: 17.10.2023).
  17. Noren Hooten N., Fitzpatrick M., Wood W. H. et al. Age-related changes in microRNA levels in serum // Aging (Albany NY). 2013. V. 5. № 10. P. 725–740. doi: 10.18632/aging.100603
  18. Noren Hooten N., Abdelmohsen K., Gorospe M. et al. МicroRNA expression patterns reveal differential expression of target genes with age // PLoS One. 2010. V. 5. № 5. doi: 10.1371/journal.pone.0010724
  19. Livak K. J., Schmittgen T. D. Analysis of relative gene expression data using real time quantitative PCR and the 2(Delta Delta C(T)) Method//Methods. 2001. V. 25. № 4. P. 402–408. doi: 10.1006/meth.2001.1262
  20. Chaudhry M. A., Omaruddin R. A., Kreger B. et al. MicroRNA responses to chronic or acute exposures to low dose ionizing radiation // Mol. Biol. Rep. 2012. V. 39. № 7. P. 7549–7558. doi: 10.1007/s11033-012-1589-9
  21. Lee I., Ajay S. S., Jong I. Y. et al. New class of microRNA targets containing simultaneous 5′-UTR- and 3′-UTR-interaction sites // Genome Research. 2009. V. 19. № 7. P. 1175–1183. doi: 10.1101/gr.089367.108
  22. Brummer A., Hausser J. MicroRNA binding sites in the coding region of mRNAs: Еxtending the repertoire of post-transcriptional gene regulation // BioEssays. 2014. V. 36. № 6. P. 617–626. doi: 10.1002/bies.201300104
  23. Valinezhad Orang A., Safaralizadeh R., Kazemzadeh-Bavili M. Mechanisms of miRNA-Mediated gene regulation from common downregulation to mRNA-secific upregulation // Int. J. Genomics. 2014. V. 2014. doi: doi: 10.1155/2014/970607
  24. Dinh T.-K. T., Fendler W., Chałubińska-Fendler J. et al. Circulating miR-29a and miR-150 correlate with delivered dose during thoracic radiation therapy for non-small cell lung cancer // Rad. Oncology. 2016. V. 11. P. 61. doi: 10.1186/s13014-016-0636-4
  25. Li X. H., Ha C. T., Fu D., Xiao M. Micro-RNA30c negatively regulates REDD1 expression in human hematopoietic and osteoblast cells after gamma-irradiation // PLoS One. 2012. V. 7. № 11. doi: 10.1371/journal.pone.0048700
  26. Acharya S. S., Fendler W., Watson J. et al. Serum microRNAs are early indicators of survival after radiation-induced hematopoietic injury // Sci. Transl.Med. 2015. V. 7. № 287. doi: 10.1126/scitranslmed.aaa6593
  27. Li X. H., Ha C. T., Fu D. Delta-tocotrienol suppresses radiation-induced microRNA-30 and protects mice and human CD34+ cells from radiation injury//PLoS One. 2015. V. 10. № 3. doi: 10.1371/journal.pone.0122258
  28. Li X. H., Ha C. T., Xiao M. MicroRNA-30 inhibits antiapoptotic factor Mcl-1 in mouse and human hematopoietic cells after radiation exposure // Apoptosis. 2016. V. 21. № 6. P. 708–720. doi: 10.1007/s10495-016-1238-1
  29. Malachowska B., Tomasik B., Stawiski K. et al. Circulating microRNAs as biomarkers of radiation exposure: A systematic review and meta-analysis // Int. J. Radiat. Oncol. Biol. Phys. 2020. V. 106. № 2. P. 390–402. doi: 10.1016/j.ijrobp.2019.10.028
  30. Guo Y., Sun W., Gong T. et al. MiR-30a radiosensitizes non-small cell lung cancer by targeting ATF1 that is involved in the phosphorylation of ATM // Oncol. Rep. 2017. V. 37. № 4. P. 1980–1988. doi: 10.3892/or.2017.5448
  31. Yuan L. Q., Zhang T., Xu L. et al. MiR-30c-5p inhibits glioma proliferation and invasion via targeting Bcl2 // Transl. Cancer Res. 2021. V. 10. № 1. P. 337–348. doi: 10.21037/tcr-19-2957
  32. Ostadrahimi S., Fayaz S., Parvizhamidi M. et al. Downregulation of miR-1266-5P, miR-185-5P and miR-30c-2 in prostatic cancer tissue and cell lines // Oncol Lett. 2018. V. 15. № 5. P. 8157–8164. doi: 10.3892/ol.2018.8336
  33. Sharma S., Eghbali M. Influence of sex differences on microRNA gene regulation in disease // Biol Sex Differ. 2014. V. 5. № 1. P. 3. doi: 10.1186/2042-6410-5-3

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2. Fig. 1. Individual values ​​of the relative content of microRNA in the study groups.

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3. Fig. 2. Dependence of the relative content of miR-30c microRNA on the accumulated dose of radiation to the BMC, obtained in accordance with the data of individual indicators (a) and obtained by approximating the data (b, each point is the average value for eight grouped indicators).

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4. Fig. 3. Dependence of the relative content of miR-30c microRNA on the accumulated dose of irradiation of the thymus and peripheral lymphoid organs, obtained in accordance with the data of individual indicators (a) and obtained by approximating the data (b), each point is the average value for eight grouped indicators).

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5. Fig. 4. Expression of miR-30c microRNA in dose subgroups: < 100 mGy, 100–1000 mGy, and > 1000 mGy. Median (top) and mean (bottom) values ​​of relative microRNA expression in dose subgroups are shown in italics.

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