DNA methylation biomarkers : new tools for the human health and environmental risk assessment of chemicals Article Swipe
Guilherme Jeremias
,
Jana Asselman
,
Fernando Gonçalves
,
Joana Luísa Pereira
·
YOU?
·
· 2020
· Open Access
·
YOU?
·
· 2020
· Open Access
·
Epigenetic mechanisms have gained relevance in the fields of human and environmental health, due to their pivotal role in disease, gene-environment interactions and adaptation to environmental change and/or contamination. Epigenetic mechanisms are highly responsive to external stimuli and a wide range of chemicals has been shown to determine specific epigenetic patterns in several organisms. Furthermore, the mitotic/meiotic inheritance of such epigenetic marks as well as their corresponding changes in gene expression and cell/organismal phenotypes has now been demonstrated. Therefore, epigenetic signatures are very interesting candidates to link environmental exposures to disease as well as they can inform on relevant past exposures to stressors. Accordingly, well developed epigenetic biomarkers can be useful tools in both prospective and retrospective environmental risk assessment (ERA) but their actual application in this context is still not effective due to several data gaps that exist. Here we show that the incorporation of epigenetic biomarkers in the prospective ERA of chemicals can allow a better characterization of hazard potential (exposure and effects), by providing a comprehensive view on the corresponding mode of action or mechanism of toxicity and eventually elucidating on exposure routes, globally contributing to the establishment of Adverse Outcome Pathways. Epigenetic biomarkers can also have an important role in retrospective assessment by allowing to better distinguish fluctuating or historical exposure, as well as providing insights on the resilience of natural populations. By bringing together the epigenetics field and ERA as a comprehensive framework to tackle contamination challenges, promising avenues are open for scientists and regulators.
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- Type
- article
- Language
- en
- Landing Page
- https://biblio.ugent.be/publication/8664411
- http://hdl.handle.net/1854/LU-8664411
- OA Status
- green
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3123160719
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3123160719Canonical identifier for this work in OpenAlex
- Title
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DNA methylation biomarkers : new tools for the human health and environmental risk assessment of chemicalsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-01-01Full publication date if available
- Authors
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Guilherme Jeremias, Jana Asselman, Fernando Gonçalves, Joana Luísa PereiraList of authors in order
- Landing page
-
https://biblio.ugent.be/publication/8664411Publisher landing page
- PDF URL
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https://hdl.handle.net/1854/LU-8664411Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://hdl.handle.net/1854/LU-8664411Direct OA link when available
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Epigenetics, Context (archaeology), Biology, DNA methylation, Stressor, Biomarker, Computational biology, Bioinformatics, Risk analysis (engineering), Genetics, Medicine, Gene expression, Gene, Neuroscience, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.epigenetic | 49, 60, 79, 106, 146 |
| abstract_inverted_index.eventually | 181 |
| abstract_inverted_index.expression | 70 |
| abstract_inverted_index.historical | 213 |
| abstract_inverted_index.mechanisms | 1, 30 |
| abstract_inverted_index.organisms. | 53 |
| abstract_inverted_index.phenotypes | 73 |
| abstract_inverted_index.resilience | 222 |
| abstract_inverted_index.responsive | 33 |
| abstract_inverted_index.scientists | 247 |
| abstract_inverted_index.signatures | 80 |
| abstract_inverted_index.stressors. | 102 |
| abstract_inverted_index.application | 124 |
| abstract_inverted_index.challenges, | 241 |
| abstract_inverted_index.distinguish | 210 |
| abstract_inverted_index.elucidating | 182 |
| abstract_inverted_index.epigenetics | 230 |
| abstract_inverted_index.fluctuating | 211 |
| abstract_inverted_index.inheritance | 57 |
| abstract_inverted_index.interesting | 83 |
| abstract_inverted_index.prospective | 114, 150 |
| abstract_inverted_index.regulators. | 249 |
| abstract_inverted_index.Accordingly, | 103 |
| abstract_inverted_index.Furthermore, | 54 |
| abstract_inverted_index.contributing | 187 |
| abstract_inverted_index.interactions | 21 |
| abstract_inverted_index.populations. | 225 |
| abstract_inverted_index.comprehensive | 168, 236 |
| abstract_inverted_index.contamination | 240 |
| abstract_inverted_index.corresponding | 66, 172 |
| abstract_inverted_index.demonstrated. | 77 |
| abstract_inverted_index.environmental | 11, 25, 87, 117 |
| abstract_inverted_index.establishment | 190 |
| abstract_inverted_index.incorporation | 144 |
| abstract_inverted_index.retrospective | 116, 204 |
| abstract_inverted_index.contamination. | 28 |
| abstract_inverted_index.cell/organismal | 72 |
| abstract_inverted_index.mitotic/meiotic | 56 |
| abstract_inverted_index.characterization | 158 |
| abstract_inverted_index.gene-environment | 20 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile |