Back to Search
Start Over
Application of the comet assay in human biomonitoring: An hCOMET perspective
- Source :
- Repositório Científico de Acesso Aberto de Portugal, Repositório Científico de Acesso Aberto de Portugal (RCAAP), instacron:RCAAP, Mutation Research-Reviews in Mutation Research, Mutation Research-Reviews in Mutation Research, 2020, 783, ⟨10.1016/j.mrrev.2019.108288⟩, 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
- Publication Year :
- 2019
-
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.
- Subjects :
- 0301 basic medicine
Adult
Male
DNA damage
[SDV]Life Sciences [q-bio]
Health, Toxicology and Mutagenesis
Fpg-sensitive sites
03 medical and health sciences
0302 clinical medicine
Sex Factors
Risk Factors
Environmental health
Biomonitoring
Genetics
Tobacco Smoking
Medicine
Humans
Statistical analysis
Obesity
Comet assay
business.industry
Escherichia coli Proteins
Confounding
Age Factors
Environmental Exposure
Middle Aged
3. Good health
Human biomonitoring
Oxidative Stress
030104 developmental biology
DNA-Formamidopyrimidine Glycosylase
030220 oncology & carcinogenesis
Smoking status
Female
Occupational exposure
Comet Assay
Seasons
business
Alcohol consumption
[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Biological Monitoring
DNA Damage
Subjects
Details
- ISSN :
- 13882139 and 13835742
- Volume :
- 783
- Database :
- OpenAIRE
- Journal :
- Mutation research. Reviews in mutation research
- Accession number :
- edsair.doi.dedup.....7c095ba90503dfcf2c0b47520f156a97