MRTCM: A comprehensive dataset for probabilistic risk assessment of metals and metalloids in traditional Chinese medicine
Traditional Chinese medicine (TCM) is still considered a global complementary or alternative medical system, but exogenous hazardous contaminants remain in TCM even after decocting. Besides, it is time-consuming to conduct a risk assessment of trace elements in TCMs with a non-automatic approach due...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | Ecotoxicology and Environmental Safety |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651322012350 |
| _version_ | 1828071569964924928 |
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| author | Xiaohui Xu Limin Li Heng Zhou Mingcong Fan Hongliang Wang Lingling Wang Qing Hu Qiang Cai Yin Zhu Shen Ji |
| author_facet | Xiaohui Xu Limin Li Heng Zhou Mingcong Fan Hongliang Wang Lingling Wang Qing Hu Qiang Cai Yin Zhu Shen Ji |
| author_sort | Xiaohui Xu |
| collection | DOAJ |
| description | Traditional Chinese medicine (TCM) is still considered a global complementary or alternative medical system, but exogenous hazardous contaminants remain in TCM even after decocting. Besides, it is time-consuming to conduct a risk assessment of trace elements in TCMs with a non-automatic approach due to the wide variety of TCMs. Here, we present MRTCM, a cloud-computing infrastructure for automating the probabilistic risk assessment of metals and metalloids in TCM. MRTCM includes a consumption database and a pollutant database involving forty million rows of consumption data and fourteen types of TCM potentially toxic elements concentrations. The algorithm of probabilistic risk assessment was also packaged in MRTCM to assess the risks of eight elements with Monte Carlo simulation. The results demonstrated that 96.64% and 99.46% had no non-carcinogenic risk (hazard indices (HI) were < 1.0) for animal and herbal medicines consumers, respectively. After twenty years of exposure, less than 1% of the total carcinogenic risk (CRt) was > 10-4 for TCM consumers, indicating that they are at potential risk for carcinogenicity. Sensitivity analysis revealed that annual consumption and concentration were the main variables affecting the assessment results. Ultimately, a priority management list of TCMs was also generated, indicating that more attention should be paid to the non-carcinogenic risks of As, Mn, and Hg and the carcinogenic risks of As and Cr in Pheretima and Cr in Arcae Conch. In general, MRTCM could significantly enhance the efficiency of risk assessment in TCM and provide reasonable guidance for policymakers to optimize risk management. |
| first_indexed | 2024-04-11T00:56:11Z |
| format | Article |
| id | doaj.art-1b191212f28d4bea9be81c3a280e083c |
| institution | Directory Open Access Journal |
| issn | 0147-6513 |
| language | English |
| last_indexed | 2024-04-11T00:56:11Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecotoxicology and Environmental Safety |
| spelling | doaj.art-1b191212f28d4bea9be81c3a280e083c2023-01-05T04:30:31ZengElsevierEcotoxicology and Environmental Safety0147-65132023-01-01249114395MRTCM: A comprehensive dataset for probabilistic risk assessment of metals and metalloids in traditional Chinese medicineXiaohui Xu0Limin Li1Heng Zhou2Mingcong Fan3Hongliang Wang4Lingling Wang5Qing Hu6Qiang Cai7Yin Zhu8Shen Ji9Yangtze Delta Region Institute of Tsinghua University, Zhejiang 314006, ChinaShanghai Institute for Food and Drug Control, NMPA Key Laboratory for Quality Control of Traditional Chinese Medicine, Shanghai 201203, ChinaShanghai Institute for Food and Drug Control, NMPA Key Laboratory for Quality Control of Traditional Chinese Medicine, Shanghai 201203, ChinaYangtze Delta Region Institute of Tsinghua University, Zhejiang 314006, ChinaYangtze Delta Region Institute of Tsinghua University, Zhejiang 314006, ChinaShandong Academy of Chinese Medicine, Jinan 250014, ChinaShanghai Institute for Food and Drug Control, NMPA Key Laboratory for Quality Control of Traditional Chinese Medicine, Shanghai 201203, ChinaYangtze Delta Region Institute of Tsinghua University, Zhejiang 314006, ChinaYangtze Delta Region Institute of Tsinghua University, Zhejiang 314006, China; Corresponding authors.Shanghai Institute for Food and Drug Control, NMPA Key Laboratory for Quality Control of Traditional Chinese Medicine, Shanghai 201203, China; Corresponding authors.Traditional Chinese medicine (TCM) is still considered a global complementary or alternative medical system, but exogenous hazardous contaminants remain in TCM even after decocting. Besides, it is time-consuming to conduct a risk assessment of trace elements in TCMs with a non-automatic approach due to the wide variety of TCMs. Here, we present MRTCM, a cloud-computing infrastructure for automating the probabilistic risk assessment of metals and metalloids in TCM. MRTCM includes a consumption database and a pollutant database involving forty million rows of consumption data and fourteen types of TCM potentially toxic elements concentrations. The algorithm of probabilistic risk assessment was also packaged in MRTCM to assess the risks of eight elements with Monte Carlo simulation. The results demonstrated that 96.64% and 99.46% had no non-carcinogenic risk (hazard indices (HI) were < 1.0) for animal and herbal medicines consumers, respectively. After twenty years of exposure, less than 1% of the total carcinogenic risk (CRt) was > 10-4 for TCM consumers, indicating that they are at potential risk for carcinogenicity. Sensitivity analysis revealed that annual consumption and concentration were the main variables affecting the assessment results. Ultimately, a priority management list of TCMs was also generated, indicating that more attention should be paid to the non-carcinogenic risks of As, Mn, and Hg and the carcinogenic risks of As and Cr in Pheretima and Cr in Arcae Conch. In general, MRTCM could significantly enhance the efficiency of risk assessment in TCM and provide reasonable guidance for policymakers to optimize risk management.http://www.sciencedirect.com/science/article/pii/S0147651322012350Traditional Chinese medicinePotentially toxic elementsProbabilistic risk assessmentConsumption dataRisk management |
| spellingShingle | Xiaohui Xu Limin Li Heng Zhou Mingcong Fan Hongliang Wang Lingling Wang Qing Hu Qiang Cai Yin Zhu Shen Ji MRTCM: A comprehensive dataset for probabilistic risk assessment of metals and metalloids in traditional Chinese medicine Ecotoxicology and Environmental Safety Traditional Chinese medicine Potentially toxic elements Probabilistic risk assessment Consumption data Risk management |
| title | MRTCM: A comprehensive dataset for probabilistic risk assessment of metals and metalloids in traditional Chinese medicine |
| title_full | MRTCM: A comprehensive dataset for probabilistic risk assessment of metals and metalloids in traditional Chinese medicine |
| title_fullStr | MRTCM: A comprehensive dataset for probabilistic risk assessment of metals and metalloids in traditional Chinese medicine |
| title_full_unstemmed | MRTCM: A comprehensive dataset for probabilistic risk assessment of metals and metalloids in traditional Chinese medicine |
| title_short | MRTCM: A comprehensive dataset for probabilistic risk assessment of metals and metalloids in traditional Chinese medicine |
| title_sort | mrtcm a comprehensive dataset for probabilistic risk assessment of metals and metalloids in traditional chinese medicine |
| topic | Traditional Chinese medicine Potentially toxic elements Probabilistic risk assessment Consumption data Risk management |
| url | http://www.sciencedirect.com/science/article/pii/S0147651322012350 |
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