Introduction to the forensic research via omics markers in environmental health vulnerable areas (FROM) study
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This research group (forensic research via omics markers in environmental health vulnerable areas: FROM) aimed to develop biomarkers for exposure to environmental hazards and diseases, assess environmental diseases, and apply and verify these biomarkers in environmentally vulnerable areas. Environmentally vulnerable areas—including refineries, abandoned metal mines, coal-fired power plants, waste incinerators, cement factories, and areas with high exposure to particulate matter—along with control areas, were selected for epidemiological investigations. A total of 1,157 adults, who had resided in these areas for over 10 years, were recruited between June 2021 and September 2023. Personal characteristics of the study participants were gathered through a survey. Biological samples, specifically blood and urine, were collected during the field investigations, separated under refrigerated conditions, and then transported to the laboratory for biomarker analysis. Analyses of heavy metals, environmental hazards, and adducts were conducted on these blood and urine samples. Additionally, omics analyses of epigenomes, proteomes, and metabolomes were performed using the blood samples. The biomarkers identified in this study will be utilized to assess the risk of environmental disease occurrence and to evaluate the impact on the health of residents in environmentally vulnerable areas, following the validation of diagnostic accuracy for these diseases.
Abstract
This research group (forensic research via omics markers in environmental health vulnerable areas: FROM) aimed to develop biomarkers for exposure to environmental hazards and diseases, assess environmental diseases, and apply and verify these biomarkers in environmentally vulnerable areas. Environmentally vulnerable areas—including refineries, abandoned metal mines, coal-fired power plants, waste incinerators, cement factories, and areas with high exposure to particulate matter—along with control areas, were selected for epidemiological investigations. A total of 1,157 adults, who had resided in these areas for over 10 years, were recruited between June 2021 and September 2023. Personal characteristics of the study participants were gathered through a survey. Biological samples, specifically blood and urine, were collected during the field investigations, separated under refrigerated conditions, and then transported to the laboratory for biomarker analysis. Analyses of heavy metals, environmental hazards, and adducts were conducted on these blood and urine samples. Additionally, omics analyses of epigenomes, proteomes, and metabolomes were performed using the blood samples. The biomarkers identified in this study will be utilized to assess the risk of environmental disease occurrence and to evaluate the impact on the health of residents in environmentally vulnerable areas, following the validation of diagnostic accuracy for these diseases.
참고문헌 (33)
- 2021 White paper of environment, "Ministry of Environment", Ministry of Environment, 609~621 (2022)
- "Health effects survey of environmental vulnerable areas and resident health protection" (2023)[URL]
- Kwon JY, "Association between levels of exposure to heavy metals and renal function indicators of residents in environmentally vulnerable areas", Sci Rep, 13, pp.2856~ (2023)[DOI]
- Joo Y, "Exposure assessment of heavy metals using exposure biomarkers among residents living near a Chungcheongnam-do Province industrial complex area", J Environ Health Sci, 42, pp.213~223 (2016)[DOI]
- Park H, "Urinary cadmium concentration of residents around industrial complex in Gwangyang and Yeosu", J Korean Soc Occup Environ Hyg, 25, pp.338~345 (2015)[DOI]
- Kim YD, "Environmental exposure to arsenic, lead, and cadmium in people living near Janghang copper smelter in Korea", J Korean Med Sci, 31, pp.489~496 (2016)[DOI]
- Eom SY, "Health effects of environmental pollution in population living near industrial complex areas in Korea", Environ Health Toxicol, 33, pp.e2018004~ (2018)[DOI]
- Cho Y, "Polycyclic aromatic hydrocarbons exposure in residents living near a cement factory with kilns", Int Arch Occup Environ Health, 87, pp.889~896 (2014)[DOI]
- Moon JY, "Effects of exposure to lead and cadmium on health of inhabitants of abandoned metal mine area in Korea", Arch Environ Contam Toxicol, 80, pp.490~498 (2021)[DOI]
- Health effects survey of abandoned metal mines, "Sakong J", Korean Society of Occupational and Environment, 21~30 (2008)
- DeCaprio AP, "Toxicologic biomarkers", pp.85~105 (2006), CRC Press
- Kim DS, "Monitoring study on exposure levels of environmental pollutants in residents of a non-industrial area, Korea", J Environ Health Sci, 38, pp.482~492 (2012)[DOI]
- Lee KM, "Review of epidemiological research and perspectives for future environmental health progress in Korea", J Environ Health Sci, 48, pp.138~150 (2022)[DOI]
- Koh SB, "Environmental diseases", J Korean Med Assoc, 55, pp.212~213 (2012)[DOI]
- Vineis P, "Advancing the application of omics-based biomarkers in environmental epidemiology", Environ Mol Mutagen, 54, pp.461~467 (2013)[DOI]
- Choi KH, "Literature review on health effect surveys of residents in environmentally contaminated areas in South Korea from 1997 to 2021", J Environ Health Sci, 49, pp.134~148 (2023)[DOI]
- Mussali-Galante P, "Biomarkers of exposure for assessing environmental metal pollution : from molecules to ecosystems", Rev Int Contam Ambie, 29, pp.117~140 (2013)
- Koh EJ, "Multi-omics approaches for understanding environmental exposure and human health", Mol Cell Toxicol, 15, pp.1~7 (2019)[DOI]
- Gao B, "Multi-omics reveals that lead exposure disturbs gut microbiome development, key metabolites, and metabolic pathways", Chem Res Toxicol, 30, pp.996~1005 (2017)[DOI]
- Miao G, "Multi-omics analysis reveals hepatic lipid metabolism profiles and serum lipid biomarkers upon indoor relevant VOC exposure", Environ Int, 180, pp.108221~ (2023)[DOI]
- Peng Z, "Multi-omics analyses reveal the mechanisms of Arsenic-induced male reproductive toxicity in mice", J Hazard Mater, 424, pp.127548~ (2022)[DOI]
- Araujo AN, "Integration of proteomic and metabolomic analyses : new insights for mapping informal workers exposed to potentially toxic elements", Front Public Health, 10, pp.899638~ (2023)[DOI]
- Kim DH, "Spatial-temporal variations in air pollution in Busan metropolitan city(2010-2018)", J Korean Soc Atmos Environ, 36, pp.309~328 (2020)[DOI]
- La Barbera G, "A comprehensive database for DNA adductomics", Front Chem, 10, pp.908572~ (2022)[DOI]
- Bligh EG, "A rapid method of total lipid extraction and purification", Can J Biochem Physiol, 37, pp.911~917 (1959)[DOI]
- Folch J, "A simple method for the isolation and purification of total lipides from animal tissues", J Biol Chem, 226, pp.497~509 (1957)[DOI]
- Chang Y, "A targeted metabolomics approach for sepsis-induced ARDS and its subphenotypes", Crit Care, 27, pp.263~ (2023)[DOI]
- Jang IY, "Lower serum n-3 fatty acid level in older adults with sarcopenia", Nutrients, 12, pp.2959~ (2020)[DOI]
- Kim J, "Metabolomics reveals dysregulated sphingolipid and amino acid metabolism associated with chronic obstructive pulmonary disease", Int J Chron Obstruct Pulmon Dis, 17, pp.2343~2353 (2022)[DOI]
- Kim SH, "Ceramide", sphingosine-1-phosphate imbalance is associated with distinct inflammatory phenotypes of uncontrolled asthma, 2020, pp.75, 1991~2004
- Laboratory procedures of environmental pollutants in biospecimen, "National Institute of Environmental Research(NIER)", NIER, ~ (2018)
- Choi YH, "Exposure to volatile organic compounds and polycyclic aromatic hydrocarbons is associated with the risk of non-alcoholic fatty liver disease in Korean adolescents : Korea National Environmental Health Survey(KoNEHS)2015-2017", Ecotoxicol Environ Saf, 251, pp.114508~ (2023)[DOI]
- Mun S, "Cadmium-associated protein changes in residents of contaminated areas : abandoned mine and smelter", Environ Pollut, 345, pp.123512~ (2024)[DOI]
