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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4130	National Institute of Environmental Health Sciences	Html	en	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	CLICK HERE
4154	National Institute of Environmental Health Sciences	Html	en	Innate Immunity Signal Transduction in Human Leukocytes	The Innate Immunity Signal Transduction in Human Leukocytes is a research study to determine the response of immune cells from the bloodstream.	blood cell function 0.857637 Innate Immunity Signal 0.892013 Recurrent fever 0.691945 research study 0.739352 participant 0.580026 Alcohol consumption 0.680188 white blood cells 0.929239 Blood pressure 0.801272 ml 0.568081 healthy adult donors 0.845682 Exposure Study 0.739471 Diarrhea 0.538237 Human Leukocytes 0.724044 dentist 0.537883 HMG CoA reductase 0.857876 BPA 0.546679 Insulin dependent diabetes 0.82172 CaREFREE Study 0.753508 Creutzfeldt-Jacob Disease 0.671451 Transduction 0.541425 lbs 0.538272 Calorie Restriction 0.725628 Ages Eligible 0.706322 Cox-2 Gene 0.732119	samples states 0.670052 Pulse rate 0.661917 suspected pregnancy 0.691713 Clinical Trials Study 0.877316 blood plasma 0.738636 corticosteroids 0.544082 inflammation 0.538031 cups 0.554088 possible disease-related conditions 0.863689 Bisphenol 0.560014 blood donation 0.879466 participants 0.555679 doctor visit 0.690752 bloodstream 0.551006 test tube 0.68694 substances 0.570815 Reproductive Effects 0.70382 immune cells 0.891453 antidepressants 0.536599 various signals 0.700116 Genders Eligible 0.714599 certain circumstances 0.690168 response 0.580673 antihistamines 0.545714	CLICK HERE
4155	National Institute of Environmental Health Sciences	Html	en	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	CLICK HERE
4156	National Institute of Environmental Health Sciences	Html	en	Bisphenol A (BPA) Pharmacokinetic (PK): Controlled Exposure Study	Bisphenol A (BPA) is a chemical that is used primarily to make plastics, resins, and thermal paper.	North Carolina 0.404904 resins 0.235977 medical history 0.381623 research study 0.407097 breastfeeding female 0.395992 low levels 0.422271 single oral dose 0.577155 Clinical Research Unit 0.864438 study period 0.420853 Regular blood samples 0.562795 volunteers 0.234926 water 0.268032 screening laboratory tests 0.527317 follow-up visit 0.532141 body absorbs 0.401547 BPA 0.950847 vanilla wafer cookie 0.53318 chemical 0.238196 Research Triangle Park 0.877312 BPA dose 0.678802 single dose 0.599445 24-hour urine collections 0.632026 thermal paper 0.423385 CRU 0.462451	baby bottles 0.417986 effort 0.258764 Environmental Health Sciences 0.535257 additional blood 0.384898 NIEHS Clinical Research 0.632204 follow-up visits 0.628047 plastic products 0.416823 frequent blood tests 0.533259 place 0.235059 National Institute 0.383375 participants 0.371129 plastics 0.238144 reproductive age 0.38114 Trials Study page 0.566642 urine tests 0.663008 people 0.237954 food 0.237865 13-hour visit 0.506357 Researchers 0.237427 study visits 0.443822 ages 0.234675 compensation 0.25884 BPA-containing products 0.397451 time 0.321999	CLICK HERE
4164	National Institute of Environmental Health Sciences	Html	en	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	CLICK HERE
4173	National Institute of Environmental Health Sciences	Html	en	RNA Isolation from Pico-scale samples (1 cell (10-25pg) - 10mg tissue) with the PicoPure	Protocol for Use with CapSure™ Macro LCM Caps; Protocol for Use with <10mg Frozen Tissue	precipitate 0.343145 pur. column/0.5ml tube 0.567697 maximum absorption 0.429304 membrane 0.375077 Pipette equal volume 0.685863 Incubate RT 0.480046 microcentrifuge tube cap 0.562315 I. Mix 0.442745 adjacent rotor holes 0.540731 15 min 0.600975 EtOH mixture 0.435111 sec 0.360753 freeze cell extract 0.563526 min 0.965686 –80oC 0.326544 elution buffer 0.45392 store -20oC 0.457309 kit 0.324004 centrifuge assembly 0.567112 potential breakage 0.429631	EB 0.389759 wash buffer 0.437578 single-use aliquots 0.465852 waste 0.324348 Invert 0.337448 pre-conditioned purification column 0.709665 cell extract 0.739782 purification column 0.840061 stock solution 0.457585 column 0.864391 42oC 0.327805 elution step 0.451097 Mix XB 0.462681 centrifugation 0.373454 clockwise direction 0.445033 centrifuge 0.752672 pipette 0.80566 W1 0.381424 RNA isolation protocol 0.571169 W2 0.372703	CLICK HERE
4183	National Institute of Environmental Health Sciences	Html	en	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	CLICK HERE
4235	National Institute of Environmental Health Sciences	Html	en	Pathogenic Studies in Families with Twins or Siblings Discordant for Systemic Rheumatic Disorders	The goal of this study is to examine the genetic and environmental risk factors in the development of autoimmune diseases in twins and same-sex siblings, when one has an autoimmune disease and the other does not.	daily occupation 0.66172 twin-sib pairs 0.605567 genetic risk factors 0.611729 environmental exposure questionnaires 0.596699 blood tests 0.557539 juvenile forms 0.556664 Idiopathic Thrombocytopenia Purpura 0.603705 single enrollment /evaluation 0.603197 Exclusion Criteria 0.564799 clinical evaluation 0.560807 same-sex siblings 0.561544 NIEHS Clinical Research 0.599884 possible causes 0.559474 normal volunteers 0.602281 clinical specimens 0.557929 Clinical Trials Study 0.619818 unaffected twin 0.611768 NIH Clinical Center 0.596519 environmental risk factors 0.773866 minimum inclusion criteria 0.611286 Systemic Lupus Erythematosus 0.705107 nonsteroidal anti-inflammatory drugs 0.598992 autoimmune diseases 0.580697	inclusion criteria 0.638208 risk factors 0.841613 severe trauma 0.656995 clinical care 0.558499 systemic rheumatic disorders 0.958087 Autoimmune Thyroid Disease 0.620764 T.W. Alexander Drive 0.58526 systemic rheumatic disease 0.811247 Systemic Vasculitis 0.633034 urine samples 0.630701 Magnuson Clinical Center 0.597062 autoimmune disease 0.657433 Active infections 0.657042 rheumatoid arthritis 0.615934 common clinical manifestations 0.620645 potential risk factors 0.610009 possible risk factors 0.613252 peripheral blood cell 0.594747 document medical histories 0.586145 chronic anti-inflammatory medicines 0.595139 Research Triangle Park 0.584599 systemic rheumatic disorder 0.726613	CLICK HERE
16602	National Institute of Environmental Health Sciences	Html	en	Soy Infant Formula	Soy formula is an infant food made using soy protein and other components. It is fed to infants as a supplement or replacement for human milk or cow milk formula.	soy exposure levels 0.424682 American Academy 0.286003 NTP conclusions 0.282831 cow milk formula 0.416842 Lactose-free cow milk 0.288905 concern levels 0.273187 panel’s conclusions 0.256675 soy foods 0.37521 NTP panel 0.272404 amino acid formulations 0.280665 case soy infant 0.513993 soy infant formula 0.90079 infant food 0.307478 relatively large number 0.272799 soy supplements 0.374399 public health decisions 0.275387 estrogen-like effects 0.285283 infants 0.425564 soy protein-based formula 0.523072 specific health problems 0.287669 percent decrease 0.257771 appropriate regulatory authorities 0.269886 infant nutrition 0.292621 adverse human health 0.341425 adverse effects 0.246835	developmental stages 0.283925 health effects 0.27525 cow milk-based formula 0.381713 human infants 0.298676 infant formula sales 0.423073 amino acids 0.287446 total dollar sales 0.274341 human milk 0.292218 five-level scale 0.279285 NTP 0.295344 formula-fed infants 0.286235 Soy Protein-Based Formulas 0.417913 soy formula 0.864282 minimal concern 0.280528 soy milk 0.414438 possible concern 0.250753 soy products 0.404294 adverse developmental effects 0.277138 breast milk 0.246481 current infant formulas 0.330619 primary isoflavones 0.267607 clinical report states 0.277267 Infant Feeding 0.289819 expert panel 0.319558	CLICK HERE
16622	National Institute of Environmental Health Sciences	Html	en	The CaREFREE Study: Calorie Restriction, Environment, and Fitness: Reproductive Effects Evaluation	Many women develop irregular menstrual cycles which may make it difficult to become pregnant and increase the risk of osteoporosis.	North Carolina 0.687285 exercise plan 0.590059 following criteria 0.548071 research study 0.549491 Procedures 0.342664 Participants 0.665485 body 0.342491 blood sampling 0.550047 home blood 0.549715 5-day exercise 0.634228 study steps 0.554547 birth 0.343855 9-10 0.343397 weight 0.343026 diet regimens 0.578226 consecutive menstrual cycles 0.870958 carefree@mail.nih.gov. 0.547487 osteoporosis 0.354801 planning 0.340911 fitness testing 0.555107 Protocol Number 0.540756 Research Triangle Park 0.71823 effect 0.345611 women 0.433121 physical exams 0.532585	irregular menstrual cycles 0.918449 UNC 0.348875 NIEHS Clinical Research 0.735764 reproductive cycles 0.614837 nutritional shakes 0.549198 measurement 0.342523 cookies 0.340846 duration 0.351285 visits 0.343136 ovulation tests 0.548547 charge 0.340617 bone density 0.554919 Trials Study page 0.779331 Parking 0.339602 urine tests 0.588417 Chapel Hill 0.528804 transportation 0.339855 meal 0.341798 environment 0.346253 information 0.380051 risk 0.347239 breastfeeding 0.350001 time 0.344163 visit 0.342012	CLICK HERE