Acessibilidade / Reportar erro

Trends in biological dosimetry: an overview

Abstracts

Biological dosimetry (biodosimetry) is based on investigations of induced biological effects (biomarkers) in order to correlate them with radiation dose. Among the indicators employed in biodosimetry, scoring of chromosome aberrations is the most reliable method to quantify individual exposure to ionizing radiation. The technique, applied to circulating lymphocytes, has been developed into a routine procedure to evaluate the dose in the case of real or suspected accidental exposure. Considering the radiosensitivity of lymphocytes in vitro and in vivo as being the same, the dose effect relationship obtained after in vitro irradiation of blood has been widely used, with medico-legal value, for evaluating individual radiation exposure. This report presents an overview of strengths, limitations and perspectives on biodosimetry.

Biodosimetry; physical dosimetry; biomarkers; chromosome aberrations


A dosimetria biológica (biodosimetria) é baseada na investigação de efeitos biológicos induzidos (bioindicadores) objetivando relacioná-los com dose absorvida pela exposição à radiação ionizante. Entre os indicadores empregados na biodosimetria, a quantificação de aberrações cromossômicas é o método mais confiável na avaliação de uma exposição à radiação ionizante. A técnica, aplicada para análises de linfócitos do sangue periférico, tem sido empregada em procedimentos de rotina para avaliação de dose em caso de acidentes ou de suspeita de exposição. Considerando a radiosensibilidade de linfócitos como sendo a mesma tanto in vivo quanto in vitro, a relação dose-efeito obtida após uma irradiação in vitro do sangue tem sido amplamente utilizada, com valor médico-legal, para avaliação de exposições de indivíduos à radiação. Neste contexto, este trabalho apresenta uma breve revisão das potencialidades, limitações e perspectivas da biodosimetria.


Trends in Biological Dosimetry: an Overview

Ademir Amaral1,2* * Author for correspondence 1Departamento de Energia Nuclear; Universidade Federal de Pernambuco; Av. Prof. Luiz Freire, 1000; 50740-540; Recife - PE - Brazil. 2Laboratoire de Chimie et Biophysique des Traceurs; Faculté de Médecine Xavier Bicha; Université Paris 7; B. P. 416 - 75870 Paris cedex 18, France; amaral@npd.ufpe.br / ademir.amaral@uol.com.br

ABSTRACT

Biological dosimetry (biodosimetry) is based on investigations of induced biological effects (biomarkers) in order to correlate them with radiation dose. Among the indicators employed in biodosimetry, scoring of chromosome aberrations is the most reliable method to quantify individual exposure to ionizing radiation. The technique, applied to circulating lymphocytes, has been developed into a routine procedure to evaluate the dose in the case of real or suspected accidental exposure. Considering the radiosensitivity of lymphocytes in vitro and in vivo as being the same, the dose effect relationship obtained after in vitro irradiation of blood has been widely used, with medico-legal value, for evaluating individual radiation exposure. This report presents an overview of strengths, limitations and perspectives on biodosimetry.

Key words: Biodosimetry, physical dosimetry, biomarkers, chromosome aberrations

INTRODUCTION

Defined as the amount of energy imparted to matter by ionizing radiation (IR) per unit of mass, absorbed dose is the most important physical quantity to evaluate potential biological response as a result of exposure to radiation. In the Système International (SI) the unit of dose is the gray (1 Gy = 1 J.kg-1) (ICRU, 1993). Although 1 Gy raises the temperature of water by only 2 x 10-4 °C, it represents a very large dose to man due to the ability of IR to deliver its energy directly to individual atoms and molecules.

The concept of absorbed dose has some limitations for evaluating biological effectiveness of radiation exposure. For example, the pattern of energy deposition in living tissues, at the cellular level, varies according to the type of IR. The concept of linear energy transfer (LET), introduced by Zirckle (Zirkle, 1940; ICRP, 1991), as energy deposited per unit of path length of radiation, means that the same absorbed dose can be delivered by differing track ionization densities of different radiations. Hence, equal absorbed doses from different forms of radiations (such as X and g rays; electrons, protons neutrons and a particles), do not imply the same level of biological response. In order to contrast biological effectiveness among the different forms of IR, relative biological effectiveness (RBE) was defined as the ratio of cumulative dose of a reference radiation (generally, 250 kVp X-rays) with respect to cumulative absorbed dose of a test radiation to produce a specific biological effect.

For radiation protection purposes, the International Commission on Radiological Protection (ICRP) (ICRP, 1991) currently suggests the use of the quantity equivalent dose (HT) to a particular tissue, defined as:

with wR= radiation weighting factorfor a type of radiation R and DT,R = absorbed dose in a tissue T as a result of exposureto a radiation R. Equivalent dose has the special unit sievert (Sv) to distinguish it from absorbed dose in gray (Gy).

As tissues and organs in the body have differing sensitivities for particular radiation-induced effects (e.g cancer), the concept of effective dose (E) was designed to take into account the contribution of all irradiated tissues and organs to the health detriment (ICRP 1991; ICRP, 1992). The effective dose is defined as:

with wT = tissue weighting factor, which represents the proportionate contribution of tissue T to the whole body risk.

Knowledge of dose levels in radiation protection is an important step for risk assessment. Thus, to restrict the exposure to ionizing radiation, international authorities on radiation safety recommend dose limits to workers and members of the public (CNEN, 1988; IAEA, 1990; ICRP, 1991; CEU, 1996). However, in most cases of real or suspected accidental exposures to IR, physical dosimetry cannot be performed for retrospective estimates. In such situations, biological indicators (so-called biomarkers) have been proposed as an alternative (Downing, 2000; Bonassi & Au, 2002). In particular, the scoring of induced chromosomal aberration from peripheral lymphocytes has been developed into a valuable dosimetric tool in radiological protection (IAEA, 2001).

BIOMARKERS AND CHROMOSOME ABERRATIONS

Biomarkers can be defined as biological endpoints (such as cellular and molecular changes) used to indicate an exposure to IR, representing an early event that occurs as a result of IR interaction with living tissues (Horneck, 1998; Amundson et al., 2001; Bonassi & Au, 2002; Dainiak, 2002). Chromosome aberrations (CA) in circulating lymphocytes of human blood is the most extensively studied system (Bender, 1964; 1969; Lloyd et al., 1986; Bender et al., 1988; Albertini et al., 2000; Lloyd et al., 2000; Yamada et al., 2000). Having a half-life of about 3 years, blood lymphocytes are normally found at the quiescent G0 phase of the cell cycle, which makes analysis possible a long time after a real or suspected exposure (Ramalho et al., 1995; Voisin, 1997; Testard & Sabatier, 1999). Some chromosome-type aberrations (such as dicentrics and rings) are generally considered to be specific to radiation exposure, although in certain circumstances a few chemical agents can also induce them. Considering different populations, the spontaneous frequency of dicentrics does not vary significantly, being of the order of 1 per 2000 lymphocytes (Voisin, 1997; Bonassi & Au, 2002). Several studies have shown no significantly difference between in vivo with in vitro CA in blood lymphocytes yields as a result of exposure to IR (Buckton et al., 1971; Dossou et al., 2000). Hence, the dose-effect relationship obtained after in vitro irradiation of blood can be used as a calibration to estimate effects from an irradiation in vivo (Doloy et al., 1991).

Two methods are commonly used: scoring unstable CA (such a dicentrics, rings and fragments) and the FISH (fluorescence in situ hybridization) method that is based on the use of fluorescence probes to visualize translocations without the need for time-consuming karyotyping (Savage, 1975; Pinkel et al., 1986).

Dicentrics, rings and fragments are referred to as unstable CA because their persistence in the body declines with cell divisions cycles. Lymphocyte cells sustaining unstable chromosomes lesions have a probability of about 50% of surviving in each mitosis. On the other hand, stable translocations are preserved for longer because they pass through cell divisions. Thus, translocations is a better biomarker for retrospective dose evaluation when there has been a long delay between exposure and blood sampling (Savage, 1975; Ramalho et al., 1995; Mclean et al., 1995; Pala et al., 2001).

DOSE-EFFECT CURVE (CALIBRATION CURVE)

Obviously, in order to interpret the scored CA in terms of radiation dose a calibration curve is necessary. This calibration curve should be constructed with respect to basic physical parameters, such as type of radiation (low or high-LET), and dose rate.

The dose/response for dicentrics as a function of low-LET radiation, is generally well fittedby a second-degree polynomial curve:

where: Y is the dicentric yield, D is dose, C is the control frequency of dicentrics and a and b are fitted parameters. This kind of function is widely known as the "linear-quadratic" model.

On the other hand, with most high-LET radiations, CA fit better to a linear-dose response (Testard et al., 1997; Venkatachalam et al., 1999).

Figure 1 presents the general curves’features of frequency of CA versus absorbed doses, as a result of an exposure to low or high-LET radiations.


Comparisons between dose-response curves from different laboratories can be made assuming that all physical and biological parameters are the same. For this, it is important to establish reproducible sample irradiation conditions. Therefore, IAEA, in its Technical Report Series No 405 recommends that each laboratory should generate its own dose-response curve (IAEA, 2001). This is particularly difficult in the case of internal contamination.

In this context, Monte Carlo calculations represent an important tool for more accurate evaluation of the relationship between dose and chromosome aberrations in irradiated lymphocytes, particularly in the case of studies concerning internal exposure to radiation (Briesmeister, 1997; Amaral et al., 2001; Ottolenghi et al., 2001; Thierens et al., 2001). The interest in the use of Monte Carlo calculations to estimate dose stems mainly from the possibility of utilizing theoretical experiments in Nuclear Science, in order to infer the average behavior of particles/photons in a biological system by simulating their interactions with absorbing medium. Based on the physical principles and transport data, it is possible to "follow" each of particles/photons from its source throughout the medium, recording information such as the energy deposited in a finite volume. As an example of Monte Carlo simulations, an application is presented in the Figure 2, which shows doses correlated with chromosomal aberrations induced by in vitro 99mTc.


The Monte Carlo approach reproduces in vitro 99mTc irradiation blood conditions, and takes into account the relationship between activities introduced into blood samples and the observed frequencies of CA. Although these calculations were performed for nuclear medicine purposes, this example points out that by employing Monte Carlo simulations one may bypass some problems concerning the precise reproduction of radiation conditions.

LIMITATIONS AND PERSPECTIVES ON BIODOSIMETRY

Limitations and strengths on biodosimetry have been fully discussed in the IAEA Report 405 (IAEA, 2001). Some examples are the response to high radiation doses (> 4 Gy) where cell death in interphase and delays in progression through the cycle as cells are cultured to metaphase represents a pitfall for estimations of acute irradiation particularly when non-uniform or partial body irradiations have occurred. The method is time consuming, which has led to considerable efforts towards automation of scoring CA (Lloyd, 1984; Prassana et al., 1997; Huber et al., 1998). Apart from precise dose reconstructions biodosimetry can also be used in the immediate response to accidents. Lloyd and coworkers suggest an approach in which only 20 and 50 cells need to be scored initially, for medical triage of whole body and partial-body irradiation, respectively (Lloyd et al., 2000). This would play an important role in national emergency responses to a large-scale accident where many persons may have been exposed.

Scoring of micronuclei has been proposed as an alternative to conventional CA, being more sensitive and faster. A kind of unstable CA’s byproduct, micronuclei are cytoplasm chromatin masses that arise from chromosome fragments. They have the appearance of small nuclei, besides the cell’s nucleus. Although micronuclei method has been improved, its use as biomarker of human exposure to IR demands further studies (Voisin, 1997).

In many countries, biodosimetry has medical-legal recognition. However, discrepancies in recent inter-comparisons involving cytogenetic dosimetry have emphasized the need for better standardization (Turai, 2000; Voisin et al, 2002).

CONCLUSION

In the response to radiation accidents, rapid and reliable dose estimates are crucial for risk assessments, and also for clinical planning of the treatment of highly exposed victims. However, in many accident situations initial information is often scant and confused and only becomes available later after detailed complex dose reconstruction procedures. The development of cytogenetic dosimetry has made possible the use of chromosome aberrations in lymphocytes as biomarker of exposure to ionizing radiation. This is complementary to physical dosimetry, when it is available, and thus cytogenetics has made a significant contribution to the radiation protection programs of many countries.

RESUMO

A dosimetria biológica (biodosimetria) é baseada na investigação de efeitos biológicos induzidos (bioindicadores) objetivando relacioná-los com dose absorvida pela exposição à radiação ionizante. Entre os indicadores empregados na biodosimetria, a quantificação de aberrações cromossômicas é o método mais confiável na avaliação de uma exposição à radiação ionizante. A técnica, aplicada para análises de linfócitos do sangue periférico, tem sido empregada em procedimentos de rotina para avaliação de dose em caso de acidentes ou de suspeita de exposição. Considerando a radiosensibilidade de linfócitos como sendo a mesma tanto in vivo quanto in vitro, a relação dose-efeito obtida após uma irradiação in vitro do sangue tem sido amplamente utilizada, com valor médico-legal, para avaliação de exposições de indivíduos à radiação. Neste contexto, este trabalho apresenta uma breve revisão das potencialidades, limitações e perspectivas da biodosimetria.

Received: July 17, 2002;

Revised: July 20, 2002;

Accepted: July 21, 2002.

  • Albertini, R. J.; Anderson, D.; Douglas, G. R.; Hagmar, L.; Hemmink, K.; Merlo, F.; Natarajan, A. T.; Norppa, H.; Shuker, D. E.; Tice, R. R.; Waters, M. D. and Aitio, A. (2000), IPCS guidelines for the monitoring of genotoxic effects of carcinogens in humans. International Program on Chemical Safety. Mutat. Res, 463, 111-172.
  • Amaral, A.; Colas-Linhart, N.; Stabin, M.; Petiet, A.; Guiraud-Vitaux, F. and Jacquet, N. (2001), In vitro irradiation of blood with 99mTc: evaluation of dose and chromosome aberrations in irradiated lymphocytes. Cell. Mol. Biol., 47 : (3), 545-548.
  • Amundson, S. A.; Bittner, M.; Meltzer, P.; Trent, J. and Fornace Jr., A. J. (2001), Biological indicators for the identification of ionizing radiation exposure in humans. Expert. Rev. Mol. Diagn, 1 : (2), 211-219.
  • Bender, M. A. (1964), Chromosome aberrations in irradiated human subjects. Ann. NY Acad. Sci, 114, 249-251.
  • Bender, M. A. (1969), Human radiation cytogenetics. In- Augenstien, L. G.; Mason, R. and Zelle, M. (eds.). Advances in Radiation Biology Academic Press, London, 3, 215-275.
  • Bender, M. A.; Awa, A. A.; Brooks, A. L.; Evans, H. J.; Groer, P. G.; Littlefield, L. G.; Pereira, C.; Preston, R. J. and Waschholz, B. W. (1988), Current status of cytogenetic procedures to detect and quantify previous exposures to radiation. Mutat. Res, 196, 103-159.
  • Bonassi, S. and Au, W. W. (2002), Biomarkers in molecular epidemilogy studies for health risk prediction. Mutat. Res, 511, 73-86.
  • Briesmeister, J. (1997), MCNP - A general Monte Carlo n-particle transport code, version 4B. Los Alamos National Laboratory, Report LA-12625-M.
  • Buckton, K. E.; Langlands, A. O.; Smith, P. G.; Woodcock, G. E.; Looby, P. C. and McLelland, J. (1971), Further studies on chromosome aberrations production after whole-body irradiation in man. Radiat. Biol. Relat. Stud Phys. Chem. Med, 19 : (4), 369-378.
  • Comissão Nacional de Energia Nuclear - CNEN (1988), Diretrizes Básicas de Radioproteção. CNEN/NE-3.01, Brazil.
  • Council of the European Union (1996), Council Directive 96/29/Euratom of 13 May 1996 laying down basic safety standards for the protection of health of workers and the general public against the dangers arising from ionizing radiation. Official Journal of the European Communities. I.159, I-114.
  • Dainiak, N. (2002), Hematologic consequences of exposure to ionizing radiation. Exp. Hem, 30, 513-528.
  • Doloy, M. T.; Malarbet, J. L.; Guedeney, G.; Bourguignon, M.; Leroy, A.; Reillaudou, M. and Masse, R. (1991), Use of unstable chromosome aberrations for biological dosimetry after the first postirradiation mitosis. Radiat. Res, 125, 141-151.
  • Dossou, J.; Lartigau, E.; MKacher, R.; Légal, J-D.; Bridier, A.; Guichard, M.; Eschwege, F. and Parmentier, C. (2000), Biological dosimetry after total body irradiation (TBI) for hematologic malignancy patients. Int. J. Radiation Oncology Biol. Phys, 46 : (1), 123-129.
  • Downing, G. J. (2000), Biomarkers and surrogate endpoints in clinical research: definitions and conceptual model. In- Downing, G. J. (ed.). Biomarkers and Surrogate Endpoints:Clinical Research and Applications Elsevier, Amsterdam. pp. 1-9.
  • Horneck, G. (1998), Biological Monitoring of radiation exposure. Adv. Space. Res, 22 : (12), 1631-1641.
  • Huber, R.; Lörch, Th.; Kulka, U.; Braselmann, H. and Bauchinger, M. (1998), Technical report: automated classification of first and second cycle metaphases. Mutat. Res, 419, 27-32.
  • International Atomic Energy Agency - IAEA (1990), Recommendations for safe use and regulation of radiation sources in industry, medicine, research, and teaching. IAEA Safety Series, n° 102, Vienna, Austria.
  • International Atomic Energy Agency - IAEA (2001), Cytogenetic Analysis for Radiation DoseAssessment. Technical Report Series, n° 405, IAEA, Vienna, 2001.
  • International Commission on Radiation Units and Measurements - ICRU (1993), Quantities and Units in Radiation Protection Dosimetry, Report 51, MD:IRCU, Bethesda.
  • International Commission on Radiological Protection – ICRP (1991), Recommendations of the International Commission on Radiological Protection, ICRP-60, Pergamon Press, Oxford, UK.
  • International Commission on Radiological Protection – ICRP (1992), Recommendations of the International Commission on Radiological Protection: User’s Edition, Pergamon Press, Oxford, UK.
  • Lloyd, D. C. (1984), An overview of radiation dosimetry by conventional cytogenetic methods. In- Eisert, W. G. and Mendelsohn, M. L. (eds.). Biological dosimetry. Heidelberg: Springer-Verlag. pp. 3-14.
  • Lloyd, D. C.; Edwards, A. A. and Prosser, J. S. (1986), Chromosome aberration induced in human lymphocytes by in vitro acute x gamma radiation. Radiat. Prot. Dosim, 15, 83-88.
  • Lloyd, D. C.; Edwards, A. A.; Moquet, J. E. and Guerero-Carbajal, Y. C. (2000), The role of cytogenetics in early triage of radiation causalities. Appl. Rad. Isot, 52, 1107-1112.
  • Mclean, A. R. and Michie, C. A. (1995), In vivo estimates of division and death rates of human T lymphocytes. Immunol, 92, 3707-3711.
  • Ottolenghi, A.; Ballarini, F. and Biaggi, M. (2001), Modelling chromosomal aberration induction by ionising radiation: the influence of interphase chromosome architecture. Adv. Space Res, 27 : (2), 369-382.
  • Pala, F. S.; Moquet, J. E.; Edwards, A. A. and Lloyd, D. C. (2001), In vitro transmission of chromosomal aberrations through mitosis in human lymphocytes. Mutat. Res, 474, 139-146.
  • Pinkel, D.; Straume, T. and Gray, J. W. (1986), Cytogenetic analysis using quantitative, high sensitivity, fluorescence hybridization. Proc. Natl. Acad. Sci. USA, 83, 2934-2938.
  • Prassana, P. G. S.; Kolanko, C. J.; Rippeon, T. L.; Loats, H.; Reeves, G. I and Blakely, W. F. (1997), Use of the premature chromosome condensation biodosimetry applications. In- Court, L. and Lallemand, A. (eds.). Lhomme blessé. Paris. pp. 157-169.
  • Ramalho, A. T.; Curado, M. P. and Natarajan, A. T. (1995), Lifespan of human lymphocytes estimated during a six year cytogenetic follow-up of individuals accidentally exposed in the 1987 radiological accident in Brazil. Mutat. Res, 331, 47-54.
  • Savage, J. R. K. (1975), Classification and relationships of induced chromosome structural changes. J. Med. Genet, 12, 103-122.
  • Testard, I. and Sabatier, L. (1999), Biological dosimetry for astronauts: a real challenge. Mutat. Res, 430, 315-326.
  • Testard, I.; Dutrillaux, B. and Sabatier, L. (1997), Chromosomal aberration induced in human lymphocytes by high-LET irradiation. Int. Radiat. Biol, 72, 423-433.
  • Thierens, H. M.; Monsieurs, M. A.; Brans, B.; Van Driessche, T.; Christiaens, I. and Dierckx, R. A. (2001), Dosimetry from organ to cellular dimensions. Comp. Med. Imag. Graph., 25, 187-193.
  • Turai, I. (2000), The IAEAs co-ordinated research project on biodosimetry, 1998-2000. Appl. Radiat. Isot., 52, 1113-1116.
  • Venkatachalam, P.; Solomon, F. D. P.; Prabhu, B. K.; Mohankumar, M. N.; Gajendiran, N. and Jeevanram, R. K. (1999), Estimation of dose in cancer patients treated with fractionated radiotherapy using translocation, dicentrics and micronuclei frequency in peripheral blood lymphocytes. Mutat. Res, 429, 1-12.
  • Voisin, P. (1997), Chromosome lesions as short and medium term biological indictor of acute irradiation. In-Lhomme blessé, eds. L. Court and A. Lallemand, Paris. pp. 139-150.
  • Voisin, P.; Barquinero, F.; Blakely, B.; Lindholm, C.; Lloyd, D.; Luccioni, C.; Miller, S.; Palitti, F.; Prasanna, P. G. S.; Stephan, G.; Thierens, H.; Turai, I.; Wilkinson, D. and Wojcik, A. (2002), Towards a standardization of biological dosimetry by cytogenetics. Cell. Mol. Biol, 48 : (5), 501-504.
  • Yamada, S.; Durante, M.; Ando, K.; Furusawa, Y.; Kawata, T.; Majima, H. and Tsujii, H. (2000), Complex-type chromosomal exchanges in blood lymphocytes during radiation therapy correlate with acute toxicity. Can. Let, 150, 215-221.
  • Zirkle, R. E. (1940), The radiobiological importance of the energy distribution along ionization tracks. J. Cell. Physiololgy, 16, 221.
  • *
    Author for correspondence
  • Publication Dates

    • Publication in this collection
      18 Oct 2002
    • Date of issue
      Sept 2002

    History

    • Accepted
      21 July 2002
    • Reviewed
      20 July 2002
    • Received
      17 July 2002
    Instituto de Tecnologia do Paraná - Tecpar Rua Prof. Algacyr Munhoz Mader, 3775 - CIC, 81350-010 Curitiba PR Brazil, Tel.: +55 41 3316-3052/3054, Fax: +55 41 3346-2872 - Curitiba - PR - Brazil
    E-mail: babt@tecpar.br