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Disease Diabetes Mellitus, Type 2

These are exposure studies associated with the disease and all of its children.

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1–22 of 22 results.
  Reference Associated Study Title Author's Summary Study Factors Stressor Receptors Country Medium Exposure Marker Measurements Outcome
1. Schreinemachers DM. (2010). National Health and Nutrition Examination Survey (NHANES) The results indicate that exposure to 2,4-dichlorophenoxyacetic acid was associated with changes in biomarkers that, based on the published literature, have been linked to risk factors for acute myocardial infarction and type 2 diabetes. 2,4-Dichlorophenoxyacetic Acid Study subjects United States urine 2,4-Dichlorophenoxyacetic Acid Details Diabetes Mellitus, Type 2 | Heart Diseases | cellular triglyceride homeostasis | glucose metabolic process | insulin metabolic process | thyroid-stimulating hormone secretion
2. Fujiyoshi PT, et al. (2006). Air Force Health Study These results show that the mRNA ratio of SLC2A4 to NFKB1 is a reliable marker for the diabetogenic action of dioxin, particularly at very low exposure levels that are not much higher than those found in the general public. Agent Orange Veterans United States adipose tissue | serum Dioxins | NFKB1 | SLC2A4 Details Diabetes Mellitus, Type 2
3. O'Neill MS, et al. (2007). The results corroborate evidence suggesting that inflammatory mechanisms may explain the increased risk of air pollution-associated cardiovascular events among those with diabetes; among participants not taking statins and those with a history of smoking, associations between particulate matter 2.5, black carbon, and plasma protein VCAM1 were particularly strong. disease | tobacco Air Pollutants Subjects with disease:Diabetes Mellitus, Type 2 | Study subjects United States air, ambient | plasma ICAM1 | Particulate Matter | Soot | Sulfates | VCAM1 Details production of molecular mediator involved in inflammatory response
4. Eze IC, et al. (2016). Swiss study on Air Pollution and Lung Diseases In Adults (SAPALDIA) We investigated the modification of ambient air pollution and diabetes association by a genetic risk score covering 63 type 2 diabetes genes; our results suggest that genetic risk for diabetes may modify susceptibility to air pollution through alterations in insulin sensitivity. genetics Air Pollutants Controls for disease:Diabetes Mellitus, Type 2 | Subjects with disease:Diabetes Mellitus, Type 2 | Subjects with gene influence:GRB14 | Subjects with gene influence:KCNQ1 | Subjects with gene influence:PTPRD | Subjects with gene influence:UBE2E2 | Subjects with gene influence:VPS26A Switzerland air, ambient Particulate Matter Details Diabetes Mellitus, Type 2
5. Krämer U, et al. (2010). Study on the Influence of Air Pollution on Lung, Inflammation, and Aging (SALIA) Traffic-related air pollution is associated with incident type 2 diabetes among elderly women. Air Pollutants | Vehicle Emissions Study subjects Germany air, ambient Nitric Oxide | Particulate Matter Details Diabetes Mellitus, Type 2
6. Virtanen JK, et al. (2014). Kuopio Ischemic Heart Disease Risk Factor Study (KIHD) Serum long-chain omega-3 polyunsaturated fatty acids concentration, an objective biomarker for fish intake, was associated with long-term lower risk of type 2 diabetes. diet alpha-Linolenic Acid | Docosahexaenoic Acids | docosapentaenoic acid | Fatty Acids, Omega-3 | Mercury Study subjects Finland hair Mercury Details Diabetes Mellitus, Type 2
7. Díaz-Villaseñor A, et al. (2013). Chronic exposure to inorganic arsenic seems to be a risk factor for type 2 diabetes mellitus through the reduction of beta-cell function, with an enhanced effect seen in the presence of the at-risk genotype (SNP-43) in CAPN10 gene, and the association of SNP-43 with beta-cell function was dependent on inorganic arsenic exposure, age, gender, and body mass index. age | body mass index | genetics | sex Arsenic Subjects with gene influence:CAPN10 | Controls for disease:Diabetes Mellitus, Type 2 | Subjects with disease:Diabetes Mellitus, Type 2 Mexico urine | water, drinking Arsenicals | Arsenic Details insulin secretion involved in cellular response to glucose stimulus
8. Islam R, et al. (2012). These findings suggest an association between chronic arsenic exposure through drinking water and type 2 diabetes, with the risks generally higher with longer duration of arsenic exposure, and highest among those who were exposed to the highest concentration of arsenic for more than 10 years. Arsenic Study subjects Bangladesh water, drinking Arsenic Details Diabetes Mellitus, Type 2
9. Pan WC, et al. (2013). Genetic variation in NOTCH2 increased susceptibility to type 2 diabetes mellitus among people exposed to inorganic arsenic. Arsenic Controls for disease:Diabetes Mellitus, Type 2 | Subjects with disease:Diabetes Mellitus, Type 2 Bangladesh water, drinking Arsenic Details
10. Hansen AF, et al. (2017). Nord-Trondelag Health (HUNT3) Survey Our results suggest a possible role of bromine, cadmium, chromium, iron, nickel, silver and zinc in the development of type 2 diabetes. Arsenic | Boron | Bromine | Cadmium | Calcium | Cesium | Chromium | Copper | Gallium | Gold | Indium | Iron | Lead | Magnesium | Manganese | Mercury | Molybdenum | Nickel | Rubidium | Selenium | Silver | Strontium | Tantalum | Thallium | Tin | Zinc Controls for disease:Diabetes Mellitus, Type 2 | Subjects with disease:Diabetes Mellitus, Type 2 Norway blood Arsenic | Boron | Bromine | Cadmium | Calcium | Cesium | Chromium | Copper | Gallium | Gold | Indium | Iron | Lead | Magnesium | Manganese | Mercury | Molybdenum | Nickel | Rubidium | Selenium | Silver | Strontium | Tantalum | Thallium | Tin | Zinc Details Diabetes Mellitus, Type 2
11. Simić A, et al. (2017). Nord-Trondelag Health (HUNT3) Survey This study suggests an association between prevalent type 2 diabetes and blood levels of boron, calcium, indium, lead, magnesium and silver. Arsenic | Boron | Bromine | Cadmium | Calcium | Cesium | Chromium | Copper | Gallium | Gold | Indium | Lead | Magnesium | Manganese | Mercury | Molybdenum | Nickel | Rubidium | Selenium | Silver | Strontium | Tantalum | Thallium | Tin | Zinc Controls for disease:Diabetes Mellitus, Type 2 | Subjects with disease:Diabetes Mellitus, Type 2 Norway blood Arsenic | Boron | Bromine | Cadmium | Calcium | Cesium | Chromium | Copper | Gallium | Gold | Indium | Lead | Magnesium | Manganese | Mercury | Molybdenum | Nickel | Rubidium | Selenium | Silver | Strontium | Tantalum | Thallium | Tin | Zinc Details Diabetes Mellitus, Type 2
12. Rotter I, et al. (2015). The primary aim of the study was to assess the relationship of blood heavy metal and bioelement concentrations and Metabolic Syndrome, in men aged 50-75 years. Arsenic | Cadmium | Calcium | Chromium | Copper | Iron | Lead | Magnesium | Manganese | Mercury | Molybdenum | Selenium | Tungsten | Zinc Controls for disease:Diabetes Mellitus, Type 2 | Subjects with disease:Diabetes Mellitus, Type 2 | Controls for disease:Hypertension | Subjects with disease:Hypertension | Controls for disease:Metabolic Syndrome | Subjects with disease:Metabolic Syndrome | Controls for disease:Obesity | Subjects with disease:Obesity | Controls for disease:Overweight | Subjects with disease:Overweight | Study subjects Poland blood | serum Arsenic | Cadmium | Calcium | Chromium | Copper | Iron | Lead | Magnesium | Manganese | Mercury | Molybdenum | Selenium | Tungsten | Zinc Details Diabetes Mellitus, Type 2 | Hypertension | Metabolic Syndrome | Obesity | Overweight | cholesterol homeostasis | insulin metabolic process | regulation of blood pressure | triglyceride homeostasis
13. Silver MK, et al. (2011). National Health and Nutrition Examination Survey (NHANES) Although higher urinary bisphenol A was associated with elevated hemoglobin A1c and type 2 diabetes mellitus in the pooled analysis, it was driven by data from only one NHANES cycle. bisphenol A Study subjects United States urine bisphenol A Details Diabetes Mellitus, Type 2
14. Barregard L, et al. (2013). In this cohort of Scandinavian Caucasian women with levels known to be linked to atherosclerosis and bone damage, there were no indications that such cadmium exposure was associated with increased risk of type 2 diabetes, or impaired insulin secretion and related disturbances in glucose and insulin metabolism. Cadmium Subjects with disease:Diabetes Mellitus, Type 2 | Controls for disease:Glucose Intolerance | Subjects with disease:Glucose Intolerance Sweden blood | urine Cadmium Details Diabetes Mellitus, Type 2 | Glucose Intolerance
15. Stewart JC, et al. (2010). Inhalation of elemental carbon ultrafine particles for 2-hours transiently activated platelets, and possibly the vascular endothelium, in people with type 2 diabetes. Carbon Subjects with disease:Diabetes Mellitus, Type 2 United States blood platelet | plasma | serum CD40LG | VWF Details
16. Grandjean P, et al. (2011). Impaired insulin secretion appears to constitute an important part of the type 2 diabetes pathogenesis associated with exposure to persistent lipophilic food contaminants. body mass index | diet Dichlorodiphenyl Dichloroethylene | Mercury | Polychlorinated Biphenyls Subjects with disease:Diabetes Mellitus, Type 2 | Subjects with disease:Glucose Metabolism Disorders | Study subjects Faroe Islands blood | serum Dichlorodiphenyl Dichloroethylene | Mercury | Polychlorinated Biphenyls Details Diabetes Mellitus, Type 2 | Glucose Metabolism Disorders
17. Shan Z, et al. (2016). Our study revealed a U-shaped association between plasma manganese concentrations and type 2 diabetes in a Chinese population, and the association was not modified by the MnSOD Val16Ala polymorphism. Manganese Controls for disease:Diabetes Mellitus, Type 2 | Subjects with disease:Diabetes Mellitus, Type 2 China plasma Manganese Details Diabetes Mellitus, Type 2
18. Jeppesen C, et al. (2015). Inuit Health in Transition Study While the study found a weak but statistically significant association between whole blood mercury and both impaired fasting glycemia and type 2 diabetes, no associations were found with measures of underlying disturbances in glucose homoeostasis. Mercury Study subjects Greenland blood Mercury Details Diabetes Mellitus, Type 2 | Prediabetic State
19. Liu B, et al. (2016). Our results indicated that the urinary copper and zinc levels were positively associated with the risk of diabetes and hyperglycemia among coke oven workers; urinary manganese, barium, and lead levels were also associated with increased risk of hyperglycemia. Metals | Polycyclic Aromatic Hydrocarbons Subjects with disease:Diabetes Mellitus, Type 2 | Controls for disease:Hyperglycemia | Subjects with disease:Hyperglycemia | Workers China urine Aluminum | Antimony | Arsenic | Barium | Cadmium | Chromium | Cobalt | Copper | Iron | Lead | Manganese | Molybdenum | Nickel | Polycyclic Aromatic Hydrocarbons | Rubidium | Selenium | Strontium | Thallium | Tin | Titanium | Tungsten | Uranium | Vanadium | Zinc Details Diabetes Mellitus, Type 2 | Hyperglycemia
20. Schneider A, et al. (2011). Exposure to PM2.5 can enhance antigen-presenting cell phenotypes on circulating cells, which may have consequences in the development of allergic or autoimmune diseases. These effects are amplified in diabetic individuals with characteristics that are associated with insulin resistance or with oxidative stress. disease Particulate Matter Subjects with disease:Diabetes Mellitus, Type 2 United States blood CD40 | CD80 | CD86 | FCER2 Details gene expression
21. Sun Q, et al. (2018). Nurses' Health Study II (NHSII) Background exposures to perfluoroalkyl substances in the late 1990s were associated with higher type 2 diabetes risk during the following years in a prospective case-control study of women from the Nurses' Health Study II. perfluorodecanoic acid | perfluorohexanesulfonic acid | perfluorononanoic acid | perfluorooctane sulfonic acid | perfluorooctanoic acid Controls for disease:Diabetes Mellitus, Type 2 | Subjects with disease:Diabetes Mellitus, Type 2 United States plasma perfluorodecanoic acid | perfluorohexanesulfonic acid | perfluorononanoic acid | perfluorooctane sulfonic acid | perfluorooctanoic acid Details Diabetes Mellitus, Type 2
22. Dijkema MB, et al. (2011). Authors did not find consistent associations between type 2 diabetes prevalence and exposure to traffic-related air pollution, though there were some indications for a relation with traffic in a 250 meter buffer. Vehicle Emissions Study subjects Netherlands Details Diabetes Mellitus, Type 2
1–22 of 22 results.