Literature DB >> 11776256

Polyamines as biochemical indicators of radiation injury.

S Porciani1, A Lanini, M Balzi, P Faraoni, A Becciolini.   

Abstract

The search for parameters of different nature to quantify radiation damage is carrying on from many years in humans and lab animals. The polyamines (spermidine and spermine) are ubiquitous polycations with many metabolic functions and can be easily assayed by HPLC method. Their involvement in cell proliferation has been evidenced in healthy and tumour tissues. Statistically significant reductions have been demonstrated in tissues and in red blood cells (RBC), in animals and in patients treated by total body irradiation (TBI) before bone marrow transplantation (BMT). In rats submitted to TBI with 3 Gy of gamma radiations, tissue polyamines significantly decrease during the early phase of injury in tissues with high proliferative activity (small intestine, spleen) whereas do not show any modification in kidney. When recovery takes place, the polyamines significantly increase and return to control levels when a normal morphology is restored. In patients submitted to radiation therapy, polyamines have been determined in urine and in RBC of patients with carcinoma of uterine cervix, head and neck and prostate, treated by external radiotherapy, and with thyroid cancer treated with iodine-131 therapy. The most interesting results has been obtained with RBC: in patients treated on the pelvis for prostate cancer a significant reduction during radiotherapy occurs, followed by the maintenance of low levels in patients with favourable outcome. It should be noted that polyamine levels before treatment appeared significantly higher than in healthy controls. After TBI the RBC polyamines show a dramatic fall to extremely low levels during the phase of marrow aplasia. The values show an increase corresponding to the engraftment of transplanted cells and to the following marrow repopulation. These evidences make the RBC polyamines very interesting parameters to monitor the radiation effects on humans.

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Year:  2001        PMID: 11776256

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  7 in total

1.  UPLC-ESI-TOFMS-based metabolomics and gene expression dynamics inspector self-organizing metabolomic maps as tools for understanding the cellular response to ionizing radiation.

Authors:  Andrew D Patterson; Henghong Li; Gabriel S Eichler; Kristopher W Krausz; John N Weinstein; Albert J Fornace; Frank J Gonzalez; Jeffrey R Idle
Journal:  Anal Chem       Date:  2008-01-04       Impact factor: 6.986

2.  Radiation metabolomics. 1. Identification of minimally invasive urine biomarkers for gamma-radiation exposure in mice.

Authors:  John B Tyburski; Andrew D Patterson; Kristopher W Krausz; Josef Slavík; Albert J Fornace; Frank J Gonzalez; Jeffrey R Idle
Journal:  Radiat Res       Date:  2008-07       Impact factor: 2.841

3.  PicoGreen assay of circular DNA for radiation biodosimetry.

Authors:  Steven B Zhang; Shanmin Yang; Sadasivan Vidyasagar; Mei Zhang; Katherine Casey-Sawicki; Chaomei Liu; Liangjie Yin; Lei Zhang; Yongbing Cao; Yeping Tian; Steven Swarts; Bruce M Fenton; Peter Keng; Lurong Zhang; Paul Okunieff
Journal:  Radiat Res       Date:  2015-01-09       Impact factor: 2.841

4.  Metabolomic changes in gastrointestinal tissues after whole body radiation in a murine model.

Authors:  Sanchita P Ghosh; Rajbir Singh; Kushal Chakraborty; Shilpa Kulkarni; Arushi Uppal; Yue Luo; Prabhjit Kaur; Rupak Pathak; K Sree Kumar; Martin Hauer-Jensen; Amrita K Cheema
Journal:  Mol Biosyst       Date:  2013-02-13

5.  Exposure to ionizing radiation reveals global dose- and time-dependent changes in the urinary metabolome of rat.

Authors:  Tytus D Mak; John B Tyburski; Kristopher W Krausz; John F Kalinich; Frank J Gonzalez; Albert J Fornace
Journal:  Metabolomics       Date:  2014-12-20       Impact factor: 4.290

Review 6.  Metabolomics in Radiation-Induced Biological Dosimetry: A Mini-Review and a Polyamine Study.

Authors:  Changhyun Roh
Journal:  Biomolecules       Date:  2018-05-29

Review 7.  Interactions between Radiation and One-Carbon Metabolism.

Authors:  Navyateja Korimerla; Daniel R Wahl
Journal:  Int J Mol Sci       Date:  2022-02-08       Impact factor: 5.923

  7 in total

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