| ZScore | RScore | Entity Type | ID | Name | Synonyms |
|---|---|---|---|---|---|
| 2.4876119628 | 50 - [0, 0, 1, 5] | Diseases | DID38589 | Secondary Neoplasm | Secondary Neoplasm; METS; Secondary Cancer; metastatic disease; Metastatic Neoplasm; Metastasize; Secondary Tumor; Secondary malignant deposit; Metastatic malignant disease; Metastatic Tumor; Secondary tumour; Metastatic Malignant Neoplasm; Tumor, metastatic; Neoplasm Metastases; Tumour metastasis; Tumor metastasis; metastatic cancer; cancer, metastatic; METC; Secondaries; Secondary malignancies; Secondary neoplasm; Tumor Cell Migration |
| RScore | Document | Snippets | Details |
|---|---|---|---|
| 50 - [0, 0, 1, 5] |
Association between Heavy Metals, Bisphenol A, Volatile Organic Compounds and Phthalates and Metabolic Syndrome. [MEDLINE : 30823556] |
(2019) Association between Heavy Metals, Bisphenol A, Volatile Organic Compounds and Phthalates and Metabolic Syndrome. International journal of environmental research and public health;Int J Environ Res Public Health;2019 02;16(4): - Although many studies have revealed the relationship between heavy metals (cadmium, mercury, and lead), the sum of metabolites of di (2-ethylhexyl) (DEHP), and MetS, the results remain inconsistent. - Multiple logistic regression analysis was performed for MetS with log-transformed hazardous material quartiles after covariate adjustment. - Urine (MuA) and mono- (2-ethyl-5-hydroxyhexyl) (MEHHP) levels were significantly associated with MetS after adjusting for confounders (odds ratio: 1.34 and 1.39, respectively). - This cross-sectional study of a representative sample of adult South Koreans aimed to evaluate the relationship between heavy metals, VOC metabolites, metabolites, bisphenol A and MetS after adjusting for demographic variables. - Urine MuA and MEHHP levels were significantly associated with MetS. - The incidence of metabolic syndrome (MetS), which causes heart disease and stroke, has increased significantly worldwide. |
Details |
Liu Y., Liang Y., Wishart D.S. (2015) PolySearch 2.0: A significantly improved text-mining system for discovering associations between human diseases, genes, drugs, metabolites, toxins, and more. Nucleic Acids Res. 2015 Jul 1;43(Web Server Issue):W535-42.
Cheng D., Knox C., Young N., Stothard P., Damaraju S., Wishart D.S. (2008) PolySearch: a web-based text mining system for extracting relationships between human diseases, genes, mutations, drugs and metabolites. Nucleic Acids Res. 2008 Jul 1;36(Web Server Issue):W399-405.
This project is supported by the Canadian Institutes of Health Research (award #111062), Alberta Innovates - Health Solutions, and by The Metabolomics Innovation Centre (TMIC), a nationally-funded research and core facility that supports a wide range of cutting-edge metabolomic studies. TMIC is funded by Genome Alberta, Genome British Columbia, and Genome Canada, a not-for-profit organization that is leading Canada's national genomics strategy with $900 million in funding from the federal government.