Application of the comet assay in human biomonitoring: An hCOMET perspective

Research output: Contribution to journalReviewResearchpeer-review

Standard

Application of the comet assay in human biomonitoring : An hCOMET perspective. / Azqueta, Amaya; Ladeira, Carina; Giovannelli, Lisa; Boutet-Robinet, Elisa; Bonassi, Stefano; Neri, Monica; Gajski, Goran; Duthie, Susan; Del Bo’, Cristian; Riso, Patrizia; Koppen, Gudrun; Basaran, Nursen; Collins, Andrew; Møller, Peter.

In: Mutation Research - Reviews in Mutation Research, Vol. 783, 108288, 2020.

Research output: Contribution to journalReviewResearchpeer-review

Harvard

Azqueta, A, Ladeira, C, Giovannelli, L, Boutet-Robinet, E, Bonassi, S, Neri, M, Gajski, G, Duthie, S, Del Bo’, C, Riso, P, Koppen, G, Basaran, N, Collins, A & Møller, P 2020, 'Application of the comet assay in human biomonitoring: An hCOMET perspective', Mutation Research - Reviews in Mutation Research, vol. 783, 108288. https://doi.org/10.1016/j.mrrev.2019.108288

APA

Azqueta, A., Ladeira, C., Giovannelli, L., Boutet-Robinet, E., Bonassi, S., Neri, M., ... Møller, P. (2020). Application of the comet assay in human biomonitoring: An hCOMET perspective. Mutation Research - Reviews in Mutation Research, 783, [108288]. https://doi.org/10.1016/j.mrrev.2019.108288

Vancouver

Azqueta A, Ladeira C, Giovannelli L, Boutet-Robinet E, Bonassi S, Neri M et al. Application of the comet assay in human biomonitoring: An hCOMET perspective. Mutation Research - Reviews in Mutation Research. 2020;783. 108288. https://doi.org/10.1016/j.mrrev.2019.108288

Author

Azqueta, Amaya ; Ladeira, Carina ; Giovannelli, Lisa ; Boutet-Robinet, Elisa ; Bonassi, Stefano ; Neri, Monica ; Gajski, Goran ; Duthie, Susan ; Del Bo’, Cristian ; Riso, Patrizia ; Koppen, Gudrun ; Basaran, Nursen ; Collins, Andrew ; Møller, Peter. / Application of the comet assay in human biomonitoring : An hCOMET perspective. In: Mutation Research - Reviews in Mutation Research. 2020 ; Vol. 783.

Bibtex

@article{7bf4b559c42a4c63abe60b9b08c3e21b,
title = "Application of the comet assay in human biomonitoring: An hCOMET perspective",
abstract = "The comet assay is a well-accepted biomonitoring tool to examine the effect of dietary, lifestyle, environmental and occupational exposure on levels of DNA damage in human cells. With such a wide range of determinants for DNA damage levels, it becomes challenging to deal with confounding and certain factors are inter-related (e.g. poor nutritional intake may correlate with smoking status). This review describes the effect of intrinsic (i.e. sex, age, tobacco smoking, occupational exposure and obesity) and extrinsic (season, environmental exposures, diet, physical activity and alcohol consumption) factors on the level of DNA damage measured by the standard or enzyme-modified comet assay. Although each factor influences at least one comet assay endpoint, the collective evidence does not indicate single factors have a large impact. Thus, controlling for confounding may be necessary in a biomonitoring study, but none of the factors is strong enough to be regarded a priori as a confounder. Controlling for confounding in the comet assay requires a case-by-case approach. Inter-laboratory variation in levels of DNA damage and to some extent also reproducibility in biomonitoring studies are issues that have haunted the users of the comet assay for years. Procedures to collect specimens, and their storage, are not standardized. Likewise, statistical issues related to both sample-size calculation (before sampling of specimens) and statistical analysis of the results vary between studies. This review gives guidance to statistical analysis of the typically complex exposure, co-variate, and effect relationships in human biomonitoring studies.",
keywords = "Comet assay, DNA damage, Fpg-sensitive sites, Human biomonitoring, Statistical analysis",
author = "Amaya Azqueta and Carina Ladeira and Lisa Giovannelli and Elisa Boutet-Robinet and Stefano Bonassi and Monica Neri and Goran Gajski and Susan Duthie and {Del Bo’}, Cristian and Patrizia Riso and Gudrun Koppen and Nursen Basaran and Andrew Collins and Peter M{\o}ller",
year = "2020",
doi = "10.1016/j.mrrev.2019.108288",
language = "English",
volume = "783",
journal = "Mutation Research - Reviews",
issn = "1383-5742",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Application of the comet assay in human biomonitoring

T2 - An hCOMET perspective

AU - Azqueta, Amaya

AU - Ladeira, Carina

AU - Giovannelli, Lisa

AU - Boutet-Robinet, Elisa

AU - Bonassi, Stefano

AU - Neri, Monica

AU - Gajski, Goran

AU - Duthie, Susan

AU - Del Bo’, Cristian

AU - Riso, Patrizia

AU - Koppen, Gudrun

AU - Basaran, Nursen

AU - Collins, Andrew

AU - Møller, Peter

PY - 2020

Y1 - 2020

N2 - The comet assay is a well-accepted biomonitoring tool to examine the effect of dietary, lifestyle, environmental and occupational exposure on levels of DNA damage in human cells. With such a wide range of determinants for DNA damage levels, it becomes challenging to deal with confounding and certain factors are inter-related (e.g. poor nutritional intake may correlate with smoking status). This review describes the effect of intrinsic (i.e. sex, age, tobacco smoking, occupational exposure and obesity) and extrinsic (season, environmental exposures, diet, physical activity and alcohol consumption) factors on the level of DNA damage measured by the standard or enzyme-modified comet assay. Although each factor influences at least one comet assay endpoint, the collective evidence does not indicate single factors have a large impact. Thus, controlling for confounding may be necessary in a biomonitoring study, but none of the factors is strong enough to be regarded a priori as a confounder. Controlling for confounding in the comet assay requires a case-by-case approach. Inter-laboratory variation in levels of DNA damage and to some extent also reproducibility in biomonitoring studies are issues that have haunted the users of the comet assay for years. Procedures to collect specimens, and their storage, are not standardized. Likewise, statistical issues related to both sample-size calculation (before sampling of specimens) and statistical analysis of the results vary between studies. This review gives guidance to statistical analysis of the typically complex exposure, co-variate, and effect relationships in human biomonitoring studies.

AB - The comet assay is a well-accepted biomonitoring tool to examine the effect of dietary, lifestyle, environmental and occupational exposure on levels of DNA damage in human cells. With such a wide range of determinants for DNA damage levels, it becomes challenging to deal with confounding and certain factors are inter-related (e.g. poor nutritional intake may correlate with smoking status). This review describes the effect of intrinsic (i.e. sex, age, tobacco smoking, occupational exposure and obesity) and extrinsic (season, environmental exposures, diet, physical activity and alcohol consumption) factors on the level of DNA damage measured by the standard or enzyme-modified comet assay. Although each factor influences at least one comet assay endpoint, the collective evidence does not indicate single factors have a large impact. Thus, controlling for confounding may be necessary in a biomonitoring study, but none of the factors is strong enough to be regarded a priori as a confounder. Controlling for confounding in the comet assay requires a case-by-case approach. Inter-laboratory variation in levels of DNA damage and to some extent also reproducibility in biomonitoring studies are issues that have haunted the users of the comet assay for years. Procedures to collect specimens, and their storage, are not standardized. Likewise, statistical issues related to both sample-size calculation (before sampling of specimens) and statistical analysis of the results vary between studies. This review gives guidance to statistical analysis of the typically complex exposure, co-variate, and effect relationships in human biomonitoring studies.

KW - Comet assay

KW - DNA damage

KW - Fpg-sensitive sites

KW - Human biomonitoring

KW - Statistical analysis

U2 - 10.1016/j.mrrev.2019.108288

DO - 10.1016/j.mrrev.2019.108288

M3 - Review

C2 - 32192646

AN - SCOPUS:85074943725

VL - 783

JO - Mutation Research - Reviews

JF - Mutation Research - Reviews

SN - 1383-5742

M1 - 108288

ER -

ID: 244364724