Determination of potential sources of heavy metals in patients with urothelial carcinoma in central Taiwan: a biomonitoring case–control study
Abstract The clarification of possible exposure sources of multiple metals to identify associations between metal doses and urothelial carcinoma (UC) risk is currently limited in the literature. We sought to identify the exposure sources of 10 metals (Vanadium, chromium, manganese, cobalt, nickel, copper, zinc, arsenic, cadmium, and lead) using principal component analysis (PCA) and then linked various principal component (PC) scores with environmental characteristics, including smoking-related indices, $ PM_{2.5} $, and distance to the nearest bus station. In addition, urinary 8-hydroxy-2’-deoxyguanosine (8-OHdG) and DNA hypomethylation markers (5-methyl-2’-deoxycytidine levels; %5-MedC) were investigated in combination with UC risks. We conducted this hospital-based case control study in 359 UC patients with histologically confirmed disease and 718 controls. All data were collected from face-to-face interviews and medical records. Approximately 6 mL blood was collected from participants for analysis of multiple heavy metal and DNA methylation in leukocyte DNA. Further, a 20 mL urine sample was collected to measure urinary cotinine and 8-OHdG levels. In addition, average values for $ PM_{2.5} $ for individual resident were calculated using the hybrid kriging/land-use regression model. In UC patients, significantly higher cobalt, nickel, copper, arsenic, and cadmium (μg/L) levels were observed in blood when compared with controls. Three PCs with eigenvalues > 1 accounted for 24.3, 15.8, and 10.7% of UC patients, and 26.9, 16.7, and 11.1% of controls, respectively. Environmental metal sources in major clusters were potentially associated with industrial activities and traffic emissions (PC1), smoking (PC2), and food consumption, including vitamin supplements (PC3). Multiple metal doses were linked with incremental urinary 8-OHdG and DNA hypomethylation biomarkers. For individuals with high PC1 and PC2 scores, both displayed an approximate 1.2-fold risk for UC with DNA hypomethylation. In conclusion, we provide a foundation for health education and risk communication strategies to limit metal exposure in environment, so that UC risks can be improved potentially..
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:45 |
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| Enthalten in: |
Environmental geochemistry and health - 45(2023), 7 vom: 27. Jan., Seite 5401-5414 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Chung, Chi-Jung [VerfasserIn] |
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| Links: |
Volltext [lizenzpflichtig] |
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| Themen: |
Cluster analysis |
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| Anmerkungen: |
© The Author(s), under exclusive licence to Springer Nature B.V. 2023 |
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| doi: |
10.1007/s10653-023-01481-3 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Abstract The clarification of possible exposure sources of multiple metals to identify associations between metal doses and urothelial carcinoma (UC) risk is currently limited in the literature. We sought to identify the exposure sources of 10 metals (Vanadium, chromium, manganese, cobalt, nickel, copper, zinc, arsenic, cadmium, and lead) using principal component analysis (PCA) and then linked various principal component (PC) scores with environmental characteristics, including smoking-related indices, $ PM_{2.5} $, and distance to the nearest bus station. In addition, urinary 8-hydroxy-2’-deoxyguanosine (8-OHdG) and DNA hypomethylation markers (5-methyl-2’-deoxycytidine levels; %5-MedC) were investigated in combination with UC risks. We conducted this hospital-based case control study in 359 UC patients with histologically confirmed disease and 718 controls. All data were collected from face-to-face interviews and medical records. Approximately 6 mL blood was collected from participants for analysis of multiple heavy metal and DNA methylation in leukocyte DNA. Further, a 20 mL urine sample was collected to measure urinary cotinine and 8-OHdG levels. In addition, average values for $ PM_{2.5} $ for individual resident were calculated using the hybrid kriging/land-use regression model. In UC patients, significantly higher cobalt, nickel, copper, arsenic, and cadmium (μg/L) levels were observed in blood when compared with controls. Three PCs with eigenvalues > 1 accounted for 24.3, 15.8, and 10.7% of UC patients, and 26.9, 16.7, and 11.1% of controls, respectively. Environmental metal sources in major clusters were potentially associated with industrial activities and traffic emissions (PC1), smoking (PC2), and food consumption, including vitamin supplements (PC3). Multiple metal doses were linked with incremental urinary 8-OHdG and DNA hypomethylation biomarkers. For individuals with high PC1 and PC2 scores, both displayed an approximate 1.2-fold risk for UC with DNA hypomethylation. In conclusion, we provide a foundation for health education and risk communication strategies to limit metal exposure in environment, so that UC risks can be improved potentially. | ||
| 650 | 4 | |a Principal component analysis |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Metals |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Urothelial carcinoma |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Cluster analysis |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Cumulative smoking |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Lee, Hui-Ling |4 aut | |
| 700 | 1 | |a Chang, Chao-Hsiang |4 aut | |
| 700 | 1 | |a Wu, Chih-Da |4 aut | |
| 700 | 1 | |a Liu, Chiu-Shong |4 aut | |
| 700 | 1 | |a Chung, Mu-Chi |4 aut | |
| 700 | 1 | |a Hsu, Hui-Tsung |4 aut | |
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