Literature DB >> 27622493

Molecular biomarkers to assess health risks due to environmental contaminants exposure.

Irais Poblete-Naredo1, Arnulfo Albores.   

Abstract

Biomarkers, or bioindicators, are metric tools that, when compared with reference values, allow specialists to perform risk assessments and provide objective information to decision makers to design effective strategies to solve health or environmental problems by efficiently using the resources assigned. Health risk assessment is a multidisciplinary exercise, and molecular biology is a discipline that greatly contributes to these evaluations because the genome, transcriptome, proteome and metabolome could be affected by xenobiotics causing measurable changes that might be useful biomarkers. Such changes may greatly depend on individual genetic background; therefore, the polymorphic distribution of exposed populations becomes an essential feature for adequate data interpretation. The aim of this paper is to offer an up-to-date review of the role of different molecular biomarkers in health risk assessments.

Keywords:  Biological markers; environmental pollutants; molecular biology; molecular epidemiology; risk assessment

Mesh:

Substances:

Year:  2016        PMID: 27622493     DOI: 10.7705/biomedica.v36i3.2998

Source DB:  PubMed          Journal:  Biomedica        ISSN: 0120-4157            Impact factor:   0.935


  2 in total

1.  Assessing the Effect of Contaminated and Restored Marine Sediments in Different Experimental Mesocosms Using an Integrated Approach and Mytilus galloprovincialis as a Model.

Authors:  Stefania Ancora; Federica Rossi; Marina Borgese; Cristina Pirrone; Ilaria Caliani; Simone Cappello; Giuseppe Mancini; Nicola Bianchi; Claudio Leonzio; Giovanni Bernardini; Rosalba Gornati
Journal:  Mar Biotechnol (NY)       Date:  2020-04-02       Impact factor: 3.619

2.  Identification of RNA biomarkers for chemical safety screening in mouse embryonic stem cells using RNA deep sequencing analysis.

Authors:  Hidenori Tani; Jun-Ichi Takeshita; Hiroshi Aoki; Kaoru Nakamura; Ryosuke Abe; Akinobu Toyoda; Yasunori Endo; Sadaaki Miyamoto; Masashi Gamo; Hiroaki Sato; Masaki Torimura
Journal:  PLoS One       Date:  2017-07-27       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.