1997
DOI: 10.1016/s0027-5107(96)00199-6
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Radiation risk estimation in human populations: Lessons from the radiological accident in Brazil

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Cited by 12 publications
(6 citation statements)
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“…For an extensive review of the accident, the readers are referred to da Cruz et al . & IAEA 1 , 2 . Despite being disastrous, the accident provided a unique opportunity to study the biological effects of ionizing radiation-induced mutations in humans.…”
Section: Introductionmentioning
confidence: 99%
“…For an extensive review of the accident, the readers are referred to da Cruz et al . & IAEA 1 , 2 . Despite being disastrous, the accident provided a unique opportunity to study the biological effects of ionizing radiation-induced mutations in humans.…”
Section: Introductionmentioning
confidence: 99%
“…This can be mediated by different mechanisms and depends on the type of tissue and dose exposure 7,[27][28][29] . Exposure to ionizing radiation can damage DNA and result in mutation and consequent development of cancer 2,30 .…”
Section: Discussionmentioning
confidence: 99%
“…[ 31 ] CTMs were cultured for as long as 64 days in vitro (DIV) and were irradiated with 5 Gy of GR; a dose relevant to acute survival of nuclear accidents or attacks. [ 12,13,32 ] We observed significant DNA damage, reduced neurite length, decreased firing and network activity in the CTM after GR treatment. Further, we effectively mitigated significant GR‐induced injuries including increased DNA damage, and reduced neurite length by pre‐treatment of CTM cultures with the known radioprotectant amifostine (250 µ m ).…”
Section: Introductionmentioning
confidence: 87%
“…[ 10,11 ] Post‐incident reports indicate survivors were primarily exposed to GR. [ 12–14 ] However, due to the nature of these incidents and the impracticalities of fundamental studies on human patients, little is currently known regarding the precise mechanisms leading to RICD. [ 15 ] To date, mechanistic studies have largely been carried out in either animal models or 2D culture systems [ 15,4 ] Of the few clinical and preclinical reports aiming to address underlying mechanisms, challenges regarding qualitative data collection and human disease relevancy of the model systems persist.…”
Section: Introductionmentioning
confidence: 99%