| 4130 |
National Institute of Environmental Health Sciences |
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Dioxins |
Dioxins are mainly byproducts of industrial practices. They are produced through a variety of incineration processes, including improper municipal waste incineration and burning of trash, and can be released into the air during natural processes, such as forest fires and volcanoes. |
| major industrial sources | 0.618311 |
| particular animal products | 0.609962 |
| normal cell function | 0.581032 |
| ischemic heart disease | 0.59885 |
| human exposure | 0.529308 |
| health standards | 0.510938 |
| NIEHS researchers | 0.525543 |
| hazardous waste sites | 0.829585 |
| military service | 0.572111 |
| industrial practices | 0.523256 |
| dioxin releases | 0.752877 |
| acne-like skin disease | 0.595958 |
| Numerous dioxin-like compounds | 0.59691 |
| forest fires | 0.516286 |
| health problems | 0.509939 |
| singular term dioxin | 0.816081 |
| AhR receptor | 0.563591 |
| municipal waste incineration | 0.62579 |
| new industrial sources | 0.579948 |
| natural processes | 0.518596 |
| presumptive diseases | 0.570026 |
| worst hazardous waste | 0.582319 |
| food chain | 0.512812 |
| dioxin-like compounds | 0.618467 |
|
| United States | 0.509739 |
| dioxin contamination | 0.82313 |
| Polychlorinated Biphenyls | 0.652854 |
| incineration processes | 0.526748 |
| aryl hydrocarbon receptor | 0.591672 |
| dioxin emissions | 0.753553 |
| adverse health effects | 0.597235 |
| distinct chemical structures | 0.587839 |
| public health threats | 0.594166 |
| long time | 0.507128 |
| term dioxin | 0.841642 |
| environmental degradation | 0.512273 |
| Strict regulatory controls | 0.614092 |
| cancer-causing agent | 0.515417 |
| dioxin TCDD | 0.778376 |
| dioxin exposure | 0.792666 |
| dioxins | 0.916333 |
| dioxin | 0.96517 |
| major problem | 0.511605 |
| persistent organic pollutants | 0.595215 |
| Agent Orange | 0.63878 |
| electronic products | 0.512095 |
| dioxin damages | 0.726478 |
| living creature | 0.515875 |
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National Institute of Environmental Health Sciences |
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Environmental Risk Factors for the Development of Myositis in Military Personnel |
This study attempts to determine if environmental and geographic exposures may be related to the development of myositis during military service and to obtain an initial understanding of the possible mechanisms involved. |
| health care provider | 0.681295 |
| chronic muscle disease | 0.93849 |
| physical examination | 0.481222 |
| safe blood | 0.346664 |
| normal volunteers | 0.349747 |
| case-control study | 0.351548 |
| study participation | 0.351448 |
| duty military personnel | 0.484031 |
| study kit | 0.351929 |
| blood draw | 0.453668 |
| Clinical Research Unit | 0.654948 |
| environmental factors | 0.337375 |
| autoimmune muscle disease | 0.462421 |
| healthy military personnel | 0.458188 |
| military service | 0.632731 |
| T.W. Alexander Drive | 0.425004 |
| Magnuson Clinical Center | 0.44092 |
| active duty personnel | 0.504103 |
| myositis subject | 0.545944 |
| Research Triangle Park | 0.658136 |
| environmental exposures | 0.564952 |
| blood samples | 0.484749 |
| Exclusion Criteria | 0.348534 |
| certain genetic factors | 0.423142 |
| NIEHS Clinical Research | 0.670167 |
|
| genetic factors | 0.442517 |
| genetically susceptible persons | 0.439463 |
| Clinical Trials Study | 0.518926 |
| military databases | 0.353364 |
| NIH Clinical Center | 0.659192 |
| myositis subjects | 0.662336 |
| Cognitive impairment | 0.338566 |
| inclusion criteria | 0.607689 |
| geographic exposures | 0.398012 |
| retrospective review | 0.341252 |
| active duty | 0.931322 |
| possible mechanisms | 0.350785 |
| previously approved studies | 0.433437 |
| occupational exposures | 0.367991 |
| contact study members | 0.441928 |
| questionnaires | 0.378349 |
| Matched Control Subjects | 0.524785 |
| single clinical visit | 0.438636 |
| local health care | 0.67535 |
| initial understanding | 0.351575 |
| clinical evaluations | 0.349061 |
| study investigators | 0.346145 |
| military experience | 0.371098 |
| military personnel | 0.680447 |
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National Institute of Environmental Health Sciences |
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Blood Vessel Study |
The endothelium is the inner lining of blood vessels. The cells in this lining help regulate blood flow and immune system function. |
| North Carolina | 0.593975 |
| certain diseases | 0.51467 |
| medical history | 0.592865 |
| Sample collections | 0.495826 |
| arteries | 0.42047 |
| research study | 0.513955 |
| Participants | 0.488437 |
| certain genes | 0.626794 |
| electrocardiogram | 0.425687 |
| informed consent | 0.506292 |
| genetic risk | 0.505664 |
| blood flow | 0.602203 |
| contact Grace Isshiki | 0.583686 |
| endothelial function | 0.644334 |
| single study visit | 0.622939 |
| Clinical Research Unit | 0.904054 |
| Sciences Clinical Research | 0.585233 |
| blood vessels | 0.593264 |
| urine samples | 0.514808 |
| artery | 0.445869 |
| Protocol Number | 0.496279 |
| Research Triangle Park | 0.923425 |
| inner lining | 0.614816 |
| problems | 0.433444 |
| immune system function | 0.514997 |
|
| endothelial cells | 0.557885 |
| healthy adults | 0.503616 |
| short-acting dose | 0.494919 |
| blood samples | 0.503224 |
| CRU | 0.449371 |
| short-acting medication | 0.499172 |
| NIEHS Clinical Research | 0.776132 |
| protocol procedures | 0.497126 |
| Clinical Trials Study | 0.600871 |
| study procedures | 0.506002 |
| current participant | 0.501346 |
| nitroglycerin | 0.442508 |
| heart disease | 0.514134 |
| Environmental Polymorphisms Registry | 0.586863 |
| place | 0.433692 |
| arm | 0.436358 |
| National Institute | 0.496202 |
| endothelium | 0.431348 |
| ultrasound | 0.436314 |
| high blood pressure | 0.619133 |
| information | 0.466386 |
| compensation | 0.428407 |
| time | 0.433266 |
| physical exam | 0.59612 |
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| 4161 |
National Institute of Environmental Health Sciences |
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Cookstoves and Indoor Air |
Three billion people, nearly half of the world's population, use inefficient stoves to cook their daily meals. |
| Johns Hopkins University | 0.760845 |
| United Nations Foundation | 0.756635 |
| traditional cookstoves | 0.822441 |
| Clean Cookstoves | 0.848133 |
| lung cancer | 0.701842 |
| household cooking solutions | 0.763883 |
| respiratory disease | 0.73189 |
| research program | 0.714638 |
| young children | 0.798016 |
| combat climate change | 0.75035 |
| improved measuring devices | 0.744172 |
| Child Health | 0.703933 |
| Cookstove smoke | 0.708347 |
| Obstructive Pulmonary Disease | 0.787718 |
| NIEHS representative | 0.752573 |
| following NIH institutes | 0.766613 |
| U.S. government agencies | 0.760624 |
| research agenda | 0.707931 |
| health effects | 0.71445 |
| empower women | 0.703684 |
| Shriver National Institute | 0.767631 |
| efficient cooking solutions | 0.76675 |
| Clinton Global Initiative | 0.76052 |
| Indoor Air Pollution | 0.762671 |
| research training projects | 0.779757 |
|
| acute pneumonia | 0.707683 |
| community-based intervention studies | 0.775727 |
| specific focus areas | 0.762457 |
| open fires | 0.703429 |
| respiratory symptoms | 0.731365 |
| biomass smoke | 0.704448 |
| adult women | 0.716038 |
| inefficient stoves | 0.717598 |
| Public Health John | 0.773029 |
| acute respiratory illness | 0.80918 |
| cardiovascular disease | 0.707429 |
| research training programs | 0.801611 |
| research needs | 0.71201 |
| NIEHS Senior Advisor | 0.827205 |
| Global Alliance | 0.807668 |
| respiratory conditions | 0.736052 |
| personal security risks | 0.773342 |
| acute health impacts | 0.803561 |
| Health Burden | 0.71255 |
| Fogarty International Center | 0.768256 |
| lower respiratory infection | 0.811049 |
| air pollution | 0.784189 |
| low birth weight | 0.950648 |
| estimated annual deaths | 0.802312 |
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National Institute of Environmental Health Sciences |
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NIEHS Studies - Open for Recruitment |
NIEHS Studies - Open for Recruitment |
| Study The study | 0.446231 |
| Inflammatory Response | 0.444052 |
| Nicole Edwards | 0.882816 |
| Innate Immunity Signal | 0.437187 |
| Military Personnel Researchers | 0.44362 |
| Innate Immunity | 0.443622 |
| p53 Response Elements | 0.446014 |
| Healthy males | 0.441897 |
| Glucocorticoid Receptor SNPs | 0.440086 |
| body weight | 0.439072 |
| Sample Collection Registry | 0.436992 |
| RSV Infection NIEHS | 0.438836 |
| black cohosh | 0.503477 |
| autoimmune muscle disease | 0.44307 |
| Asthmatic Epithelial Cell | 0.440295 |
| Exposure Study | 0.440691 |
| Vessel Study Researchers | 0.457483 |
| Study Researchers | 0.488237 |
| suppressor gene p53 | 0.442725 |
| Cayden Maican | 0.441043 |
| chronic inflammatory disease | 0.441652 |
| Longitudinal Environmental Sampling | 0.439769 |
| NC | 0.505975 |
| Research Triangle Park | 0.989905 |
| NIEHS-EPA Pilot Study | 0.448482 |
|
| CaREFREE Study | 0.435439 |
| tobacco smoke exposure | 0.439481 |
| Smoking Study Researchers | 0.455683 |
| Psoriasis Study Researchers | 0.450501 |
| study | 0.491511 |
| mild asthmatic participants | 0.438227 |
| Natural History | 0.440486 |
| Metabolic Disease NIEHS | 0.444178 |
| people’s genes | 0.441006 |
| Inhaled Nanosilver Study | 0.454886 |
| Puberty Study Researchers | 0.459032 |
| Systemic Rheumatic Disorders | 0.441276 |
| chronic muscle weakness | 0.436267 |
| environmental risk factors | 0.526514 |
| rheumatic disease | 0.46918 |
| Environmental Polymorphisms Registry | 0.445136 |
| Adult-Onset Idiopathic Inflammatory | 0.440276 |
| factors Research Triangle | 0.480632 |
| females | 0.439464 |
| Black Cohosh Study | 0.473352 |
| healthy volunteers | 0.464562 |
| inhaled silver nanoparticles | 0.440803 |
| cox-2 gene | 0.439356 |
| military personnel | 0.450949 |
|
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| 4183 |
National Institute of Environmental Health Sciences |
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Air Pollution |
Air pollution is a mixture of natural and man-made substances in the air we breathe. It is typically separated into two categories: outdoor air pollution and indoor air pollution. |
| Air grand prize | 0.402197 |
| landmark research project | 0.368948 |
| air pollution exposure. | 0.532873 |
| human health | 0.444187 |
| gulf oil spill | 0.384785 |
| Air Pollution Highlights | 0.498666 |
| Health Challenge | 0.367187 |
| national air quality | 0.417096 |
| new public health | 0.400982 |
| Human Health Perspective | 0.393804 |
| climate change | 0.544946 |
| air quality | 0.533929 |
| Pollution Exposure Response | 0.44974 |
| World Health Organization | 0.399338 |
| Air Pollution Declined | 0.497528 |
| portable air pollution | 0.508285 |
| air pollution research | 0.520586 |
| health effects. | 0.366189 |
| Traffic-Related Air Pollution | 0.4941 |
| NIEHS research efforts | 0.398851 |
| Air Quality Monitoring | 0.403077 |
| air pollution exposures | 0.521855 |
| Air Pollution Curbs | 0.492886 |
| India Research Goals | 0.366266 |
| Environmental Protection Agency | 0.469633 |
|
| health effects | 0.446311 |
| ADHD-Air Pollution Link | 0.451853 |
| health threats | 0.367517 |
| Environmental Public Health | 0.400619 |
| poor air quality | 0.415689 |
| daily Air Quality | 0.404172 |
| Human Health Effects | 0.396344 |
| Environmental Health Sciences | 0.393449 |
| U.S. Environmental Protection | 0.46905 |
| outdoor air pollution | 0.724933 |
| major public health | 0.390471 |
| indoor air pollution | 0.700415 |
| Major Global Health | 0.388329 |
| heart disease | 0.36867 |
| Air Quality Index | 0.455543 |
| Workshop Advances NIEHS | 0.397429 |
| public health | 0.44572 |
| NIEHS cookstove program | 0.400345 |
| Air Pollution Exposure | 0.514582 |
| next-generation air quality | 0.40097 |
| Air Pollution Pinpointed | 0.493631 |
| health | 0.469498 |
| public health problem | 0.390356 |
| air pollution | 0.960543 |
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| 16598 |
National Institute of Environmental Health Sciences |
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Toxicology |
Toxicology is a field of science that helps us understand the harmful effects that chemicals, substances, or situations, can have on people, animals, and the environment. |
| NIEHS Division | 0.375429 |
| chemical exposures | 0.377794 |
| harmful substance | 0.328432 |
| human health | 0.398401 |
| toxic substances | 0.341484 |
| general toxicology | 0.525719 |
| NTP findings | 0.338037 |
| Extramural Research | 0.306232 |
| chemicals | 0.327683 |
| NIEHS Superfund Research | 0.453797 |
| early life exposures | 0.421599 |
| childhood exposures | 0.335546 |
| American Board | 0.399108 |
| individual’s susceptibility | 0.308667 |
| different types | 0.381477 |
| potential new drugs | 0.381796 |
| environmental toxicants | 0.307652 |
| sound scientific basis | 0.376477 |
| adverse effects | 0.329943 |
| adverse health effect | 0.426133 |
| multiple disease endpoints | 0.37967 |
| health impacts | 0.315783 |
| people’s exposure | 0.309143 |
| controlled environment | 0.306144 |
| negative health outcome | 0.40293 |
|
| National Toxicology Program | 0.757076 |
| adverse health outcomes | 0.410979 |
| second-generation engineered nanomaterials | 0.374635 |
| adverse health | 0.499453 |
| adverse health effects | 0.408493 |
| health affects | 0.31793 |
| modern toxicology | 0.49441 |
| low-dose exposures | 0.358022 |
| Toxicologist This page | 0.324581 |
| environmental health sciences | 0.404197 |
| public health concern | 0.389305 |
| program conducts research | 0.378561 |
| NTP toxicologists | 0.349859 |
| public health | 0.409723 |
| toxicology specialists | 0.532752 |
| toxicology | 0.906885 |
| substances | 0.466738 |
| hazardous substances | 0.339638 |
| harmful effects | 0.330613 |
| NTP play | 0.335773 |
| NIEHS grantees | 0.387531 |
| active cell differentiation | 0.394121 |
| drinking water standard | 0.378768 |
| toxicology arena | 0.502146 |
|
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| 16601 |
National Institute of Environmental Health Sciences |
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Biomarkers |
Biomarkers are key molecular or cellular events that link a specific environmental exposure to a health outcome. |
| cutting-edge research | 0.413552 |
| NIEHS Division | 0.472112 |
| subtle changes | 0.412869 |
| training core | 0.3961 |
| hazardous material | 0.427116 |
| new biomarkers | 0.791974 |
| Superfund sites | 0.435083 |
| administrative core | 0.389462 |
| relationships | 0.23793 |
| subgroups | 0.251274 |
| identification | 0.237743 |
| ClinicalTrials.gov listing | 0.434839 |
| research support cores | 0.578667 |
| additional information | 0.391209 |
| SRP-funded biomarker research | 0.581371 |
| events | 0.238485 |
| integrated projects | 0.394046 |
| development | 0.272342 |
| biomarkers | 0.993075 |
| environmental disease | 0.418962 |
| Intramural Research | 0.416911 |
| new Genes | 0.411119 |
| environmental agents | 0.41492 |
| important role | 0.431321 |
| sensitive biomarkers | 0.77104 |
|
| results database | 0.38801 |
| chronic human diseases | 0.614112 |
| research translation core | 0.573306 |
| search tools | 0.39147 |
| comparative study | 0.389186 |
| oxidative damage | 0.522565 |
| Hazardous Substances | 0.430118 |
| health outcome | 0.439043 |
| hazardous materials | 0.422752 |
| trans-NIEHS collaboration | 0.389131 |
| waste sites | 0.40122 |
| ability | 0.304945 |
| specific environmental exposure | 0.692177 |
| Oxidative Stress Study | 0.679654 |
| human participants | 0.381882 |
| Environment Initiative | 0.40947 |
| environmental chemicals | 0.435552 |
| Superfund Research Program | 0.596742 |
| BOSS | 0.268323 |
| new technologies | 0.408404 |
| clinical studies | 0.38752 |
| cross-divisional inflammation faculty | 0.878058 |
| population-based studies | 0.437719 |
| oxidative stress | 0.747581 |
|
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| 16606 |
National Institute of Environmental Health Sciences |
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Perfluorinated Chemicals (PFCs) |
Many of us have probably seen news stories about something commonly referred to as PFCs or perfluorochemicals. You may not know exactly what they are, but can probably guess that they have something to do with the environment and your health. The National Institute of Environmental Health Sciences (NIEHS) and the National Toxicology Program (NTP), an interagency testing program headquartered at NIEHS, are studying many of these compounds. |
| animal models | 0.668435 |
| human exposure | 0.610635 |
| human health | 0.863771 |
| adult rats | 0.557451 |
| human health risk | 0.622254 |
| 28-day immunotoxicity study | 0.578872 |
| persistent chemicals | 0.573299 |
| human studies | 0.552806 |
| human health effects | 0.618796 |
| PFCs | 0.952581 |
| potential toxicity | 0.551225 |
| potential adverse health | 0.603754 |
| entire structural class | 0.563515 |
| elevated PFC exposures | 0.576157 |
| normal endocrine activity | 0.566486 |
| human health impacts | 0.60458 |
| Human Services agencies | 0.59061 |
| rodent toxicology studies | 0.587181 |
| 28-day toxicity studies | 0.640921 |
| adverse effects | 0.657962 |
| current PFC research | 0.591422 |
| Environmental Protection Agency | 0.570163 |
| mitochondrial toxicity | 0.535891 |
| PFC chemical | 0.521114 |
|
| vaccine-induced immune protection | 0.56287 |
| female rats | 0.552787 |
| PFOA production | 0.520804 |
| potential adverse effects | 0.62625 |
| National Toxicology Program | 0.589464 |
| human blood | 0.516773 |
| various PFCs | 0.543862 |
| Environmental Health Sciences | 0.620093 |
| NTP | 0.597106 |
| mammary gland development | 0.571203 |
| PFC class | 0.524392 |
| commonly used terms | 0.570523 |
| immune function | 0.578663 |
| NIEHS-funded human study | 0.592352 |
| slow elimination time | 0.569139 |
| high-throughput screening facility | 0.553861 |
| links.4 Additional research | 0.581425 |
| entire research program | 0.56591 |
| human body | 0.528592 |
| animal studies | 0.527308 |
| PFOA | 0.593926 |
| NTP research | 0.545707 |
| deficit hyperactivity disorder,9 | 0.550457 |
| interagency testing program | 0.593255 |
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National Institute of Environmental Health Sciences |
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Ginkgo |
Ginkgo or Ginkgo biloba is one of the world’s oldest living tree species. Ginkgo has been used for many years for a variety of medicinal purposes. |
| additional research studies | 0.392993 |
| over-the-counter drugs | 0.355213 |
| health care provider | 0.395008 |
| brain function | 0.408825 |
| Ginkgo Evaluation | 0.516242 |
| ginkgo studies | 0.525017 |
| consistent evidence | 0.353096 |
| clinical trials | 0.355096 |
| exact formulation | 0.356197 |
| NTP studies | 0.392788 |
| blood pressure | 0.35007 |
| larger National Toxicology | 0.392528 |
| long-term effects | 0.347989 |
| Ginkgo biloba extract | 0.640958 |
| wide variety | 0.401712 |
| female mice | 0.359068 |
| liquid extracts | 0.351504 |
| medicinal purposes | 0.357383 |
| oldest living tree | 0.411032 |
| female rats | 0.354782 |
| potential risks | 0.352734 |
| dietary supplement | 0.416885 |
| human cancer risk | 0.391927 |
| largest clinical trial | 0.388063 |
| cancer findings | 0.34963 |
|
| Ginkgo biloba tree | 0.619124 |
| National Toxicology Program | 0.489117 |
| two-year studies | 0.354847 |
| thyroid gland | 0.349559 |
| NTP | 0.432687 |
| FDA regulations | 0.352117 |
| cognitive decline | 0.347757 |
| mice | 0.361618 |
| new NTP findings | 0.429065 |
| safe care | 0.35384 |
| male mice | 0.35921 |
| health reasons | 0.354786 |
| dietary supplements | 0.534375 |
| National Cancer Institute | 0.397039 |
| complex mixture | 0.360572 |
| Federal law | 0.354761 |
| ginkgo extract | 0.962886 |
| herbal supplement | 0.406695 |
| Ginkgo biloba | 0.654323 |
| cardiovascular disease events | 0.389314 |
| herbal products | 0.349199 |
| premarket testing | 0.357829 |
| limited data | 0.350697 |
| liver cancer | 0.351201 |
|
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