| 3355 |
National Institute of General Medical Sciences |
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Circadian Rhythms Fact Sheet |
Our bodies keep time with the help of 24-hour "circadian" rhythms, which are directed by genes. Get answers to common questions about how these rhythms work and affect our lives. |
| west coast time | 0.455365 |
| mental health disorders | 0.456951 |
| circadian rhythms | 0.98148 |
| body function | 0.434391 |
| additional neurons | 0.434109 |
| bodyÂ’s master clock | 0.463578 |
| tiny microbes | 0.436013 |
| clockÂ’s components | 0.433986 |
| body temperature | 0.432793 |
| sleep patterns | 0.432182 |
| shift work | 0.461032 |
| hormone release | 0.43208 |
| sleep-wake cycles | 0.462679 |
| jet lag | 0.461646 |
| main cue | 0.43317 |
| vertebrate animals | 0.432936 |
| nerve cells | 0.462684 |
| direct input | 0.43268 |
| health problems | 0.432316 |
| master clock | 0.531689 |
| New York University | 0.455656 |
| irregular circadian rhythms | 0.598681 |
| light-dark cycles | 0.432391 |
| biological systems | 0.440684 |
| daily cycle | 0.437803 |
|
| light-related circadian rhythm | 0.571481 |
| Clock neurons | 0.438607 |
| circadian rhythm research | 0.535728 |
| different time zones | 0.455352 |
| Matthieu Cavey | 0.432182 |
| Yes. Circadian rhythms | 0.619866 |
| biological processes | 0.440469 |
| behavioral changes | 0.435481 |
| seasonal affective disorder | 0.457476 |
| New York | 0.461788 |
| sleep disorders | 0.459567 |
| Natural factors | 0.432134 |
| biological clock genes | 0.47027 |
| nighttime shift work | 0.455597 |
| similar genes | 0.435288 |
| specific molecules | 0.434212 |
| biological clocks | 0.87873 |
| various chronic health | 0.459695 |
| abnormal circadian rhythms | 0.618111 |
| fruit fly brain | 0.457427 |
| fruit flies | 0.496623 |
| organismÂ’s innate timing | 0.463174 |
| Irregular rhythms | 0.499115 |
| SCN | 0.435796 |
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National Institute of General Medical Sciences |
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en |
Sepsis Fact Sheet |
An overwhelming immune response to infection can cause sepsis. Get more information about sepsis and what we're learning about it. |
| various medical conditions | 0.385384 |
| severe sepsis | 0.789648 |
| National inpatient hospital | 0.377377 |
| antibiotic-resistant infections | 0.347526 |
| worst cases | 0.351541 |
| permanent organ damage | 0.373949 |
| Project Statistical Brief | 0.374622 |
| personÂ’s blood | 0.352432 |
| white blood cells | 0.385848 |
| pulmonary disease.4 Readmissions | 0.373971 |
| intensive care unit | 0.373422 |
| Yende S. Proportion | 0.374035 |
| hospital intensive care | 0.380127 |
| overwhelming immune response | 0.402803 |
| blood flow | 0.360501 |
| leaky blood vessels | 0.399516 |
| National Institutes | 0.376171 |
| medical problems | 0.350123 |
| blood pressure | 0.393898 |
| severe cases | 0.400951 |
| unplanned 30-day readmissions | 0.374834 |
| organ transplant operations | 0.379243 |
| Sepsis treatment | 0.645726 |
| expensive conditions | 0.352137 |
| severe sepsis recover | 0.683637 |
|
| widespread inflammation | 0.347962 |
| patient spirals | 0.349525 |
| Invasive medical procedures | 0.386714 |
| sepsis | 0.900371 |
| infection | 0.37247 |
| United States | 0.383527 |
| sepsis cases | 0.66657 |
| aggressive immune response | 0.383855 |
| expensive condition | 0.349601 |
| NIGMS Science Education | 0.377102 |
| body-wide infection | 0.362531 |
| Healthcare Research | 0.379723 |
| State sepsis | 0.619939 |
| higher risk | 0.379995 |
| Quality lists sepsis | 0.667196 |
| common cause | 0.347386 |
| chronic diseases | 0.418077 |
| releases immune chemicals | 0.400922 |
| pre-existing chronic diseases | 0.378331 |
| people | 0.408703 |
| patientsÂ’ blood | 0.349024 |
| Crit Care Med | 0.377229 |
| blood clots | 0.361221 |
| Common symptoms | 0.35073 |
|
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| 3381 |
National Institute of General Medical Sciences |
Html |
en |
Anesthesia Fact Sheet |
Read about the medical treatment that prevents patients from feeling pain during surgery. |
| cell membranes | 0.398998 |
| critical care medicine | 0.37714 |
| nerve cell | 0.401831 |
| intravenous anesthetics | 0.728367 |
| slow scientific progress | 0.383717 |
| human health | 0.317009 |
| pain clinics | 0.326321 |
| operating room | 0.391885 |
| blood pressure | 0.390051 |
| certain anesthetics | 0.556275 |
| entire body | 0.30569 |
| patients | 0.608509 |
| blood oxygen levels | 0.374987 |
| life sciences field | 0.378941 |
| 4-year residency program | 0.376546 |
| pain management | 0.408878 |
| general anesthetics | 0.740861 |
| intravenous anesthetic agents | 0.403162 |
| certain genetic variations | 0.386896 |
| various cardiac interventions | 0.368192 |
| effects | 0.344039 |
| doctors | 0.389505 |
| life-saving procedures | 0.312767 |
| regional anesthetics | 0.726941 |
|
| open-heart surgery | 0.343559 |
| Local anesthetics | 0.616252 |
| medical treatment | 0.316334 |
| individual patients | 0.324209 |
| single tooth | 0.305475 |
| conscious patients | 0.332263 |
| specific protein molecules | 0.389629 |
| nerve cell membranes | 0.392384 |
| additional 1-year fellowship | 0.382116 |
| medical doctors | 0.314496 |
| General anesthesia | 0.723999 |
| pain | 0.46119 |
| dangerously low blood | 0.40025 |
| broad categories | 0.321493 |
| surgical patients | 0.335872 |
| brain surgery | 0.339016 |
| elderly patients | 0.341966 |
| systemic diseases | 0.307904 |
| fatty molecules | 0.388037 |
| anesthesiologists | 0.358719 |
| characteristic effects | 0.310779 |
| anesthetics | 0.923569 |
| flammable anesthetic gases | 0.395651 |
| surgery | 0.555419 |
|
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| 3382 |
National Institute of General Medical Sciences |
Html |
en |
Pharmacogenomics Fact Sheet |
Pharmacogenomics, a component of precision medicine, is focused on how genes affect individual responses to medications. Learn more about this field and how it could help doctors pick the right treatment option for each patient. |
| certain diseases | 0.619056 |
| protein molecules | 0.612078 |
| research findings | 0.619305 |
| prescription drugs | 0.633328 |
| big impact | 0.617266 |
| genetic basis | 0.613019 |
| nonfunctional enzyme | 0.637884 |
| standard dose | 0.615312 |
| variations—can help doctors | 0.711793 |
| National Institutes | 0.705456 |
| pharmacogenomics research | 0.84435 |
| pharmacogenomics affecting drug | 0.883465 |
| genes | 0.654586 |
| Different people | 0.656148 |
| DNA sequences—of | 0.615168 |
| individual responses | 0.630496 |
| CYP2D6 gene | 0.718633 |
| potentially lifesaving medications | 0.722 |
| different type | 0.618988 |
| pharmacogenomic knowledge | 0.764504 |
| CYP2D6 result | 0.620505 |
| research participants | 0.618227 |
| eye color | 0.620578 |
| precision medicine | 0.802314 |
| basic research | 0.624968 |
|
| liver enzymes | 0.617797 |
| pharmacogenomic information | 0.763018 |
| larger changes | 0.611189 |
| long-term goal | 0.623068 |
| NIH Precision Medicine | 0.708843 |
| drug prescriptions | 0.728137 |
| Drug Administration | 0.719204 |
| different versions | 0.622981 |
| inactive forms | 0.617924 |
| NIGMS Fact Sheets | 0.707185 |
| gene manufacture | 0.621261 |
| drug responses | 0.737083 |
| specific genetic profiles | 0.711658 |
| liver enzyme | 0.63617 |
| Clinical Genome Resource | 0.690982 |
| pharmacogenomic research | 0.67895 |
| drugs | 0.644474 |
| Clinical Pharmacogenetics Implementation | 0.703086 |
| CYP2D6 enzyme molecules | 0.732646 |
| people | 0.732567 |
| genetic sequences | 0.623777 |
| painkiller codeine | 0.646079 |
| pharmacogenomics | 0.947849 |
| genetic variations | 0.616655 |
|
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| 3477 |
National Institute of General Medical Sciences |
Html |
es |
Hoja informativa sobre la sepsis |
Una respuesta inmunitaria fulminante a una infección puede causar sepsis. Obtenga más información sobre la sepsis y lo que estamos aprendiendo de ella. |
| new therapies | 0.443758 |
| International Sepsis Forum | 0.911217 |
| Quality Healthcare Cost | 0.486932 |
| Angus DC | 0.639482 |
| amplio espectro | 0.445289 |
| Current Infectious Disease | 0.482123 |
| futuras infecciones | 0.44522 |
| amplio uso | 0.443016 |
| altos costos | 0.443157 |
| outcomes from sepsis | 0.923049 |
| Mayr FB | 0.446146 |
| ventilación mecánica | 0.444698 |
| Early Septic Shock | 0.479647 |
| inpatient hospital costs | 0.487764 |
| Project Statistical Brief | 0.48426 |
| most expensive | 0.446308 |
| largo plazo | 0.441471 |
| Chang C-C H | 0.47766 |
| Yende S | 0.632625 |
| Protocolized Care | 0.445627 |
|
| principales dificultades | 0.442162 |
| peores casos | 0.459529 |
| cuántas personas | 0.466394 |
| Healthcare Research | 0.441782 |
| Talisa VB | 0.444949 |
| Statistics Data Brief | 0.48588 |
| chronic health | 0.447667 |
| Pharmacoeconomic implications | 0.448334 |
| Estados Unidos | 0.51515 |
| principales causas | 0.532424 |
| septicemia or sepsis | 0.972785 |
| readmissions after sepsis | 0.908366 |
| Entrada de MedlinePlus sobre | 0.442929 |
| frecuencia cardiaca | 0.561055 |
| medical conditions | 0.440777 |
| insuficiencia cardiaca | 0.461697 |
| Inpatient care | 0.449251 |
| obstructiva crónica.6 | 0.448531 |
| Molecular Medicine | 0.442827 |
| Wood KA | 0.447338 |
|
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| 4121 |
National Institute of Environmental Health Sciences |
Html |
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Bisphenol A (BPA) Initiatives |
Bisphenol A (BPA) is a chemical produced in large quantities for use primarily in the production of polycarbonate plastics and epoxy resins. |
| chemical BPA | 0.579433 |
| current food contact | 0.372702 |
| prostate gland | 0.347427 |
| health topic page | 0.372743 |
| BPA toxicity study | 0.678658 |
| current human exposures | 0.592768 |
| negligible concern | 0.507282 |
| critical research questions | 0.407172 |
| intramural research activities | 0.412012 |
| Nutrition Examination Survey | 0.381178 |
| public health decisions | 0.380507 |
| human health effects | 0.684641 |
| chronic toxicity study | 0.382001 |
| NTP effort | 0.371114 |
| CLARITY-BPA research program | 0.418917 |
| comprehensive assessment | 0.371183 |
| extramural research grants | 0.421507 |
| Recovery Act grants | 0.381646 |
| National Health | 0.356336 |
| Reinvestment Act | 0.378941 |
| endocrine active agents | 0.368728 |
| BPA | 0.971689 |
| chemical bisphenol | 0.515665 |
| possible human health | 0.417486 |
|
| CDC NHANES data | 0.398047 |
| BPA measurements | 0.595946 |
| integrated research initiative | 0.394681 |
| United States | 0.386619 |
| National Toxicology Program | 0.901972 |
| NIEHS/NTP BPA research | 0.720185 |
| Drug Administration | 0.480641 |
| Environmental Health Sciences | 0.544954 |
| BPA-focused research investments | 0.407357 |
| Brief On Bisphenol | 0.429625 |
| minimal concern | 0.490753 |
| disease relevant endpoints | 0.374992 |
| Recovery Act money | 0.36624 |
| Consortium Linking Academic | 0.362628 |
| National Institute | 0.386851 |
| larger five-year commitment | 0.35659 |
| food contact materials | 0.366621 |
| potential human health | 0.424387 |
| reduced birth weight | 0.350408 |
| American Recovery | 0.370729 |
| address data gaps | 0.403122 |
| long-term health outcomes | 0.384604 |
| Recovery Act-funded researchers | 0.367314 |
| inform decision making | 0.365278 |
|
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| 4150 |
National Institute of Environmental Health Sciences |
Html |
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Ozone |
Ozone is a highly reactive form of oxygen. |
| primary constituent | 0.594926 |
| ultraviolet rays | 0.614226 |
| airways | 0.442078 |
| sports activities | 0.556691 |
| sun | 0.428843 |
| highly reactive form | 0.777506 |
| protective layer | 0.59666 |
| lung function | 0.594314 |
| operations | 0.42731 |
| inflammation | 0.446612 |
| children | 0.443343 |
| upper atmosphere | 0.593349 |
| harmful air pollutant | 0.759892 |
| oxygen | 0.442785 |
| high concentrations | 0.609198 |
|
| lung diseases | 0.589331 |
| urban smog | 0.600835 |
| asthma | 0.43495 |
| high ozone concentrations | 0.974635 |
| respiratory effects | 0.594007 |
| outdoor sports | 0.559825 |
| Long-term exposure | 0.580655 |
| ozone forms | 0.839432 |
| sunlight | 0.446938 |
| Results | 0.426553 |
| ground level | 0.576538 |
| NIEHS-funded study | 0.565253 |
| automobile emissions | 0.586436 |
| significant reduction | 0.575751 |
| respiratory distress | 0.617426 |
|
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| 4161 |
National Institute of Environmental Health Sciences |
Html |
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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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| 15753 |
National Institute of Environmental Health Sciences |
Html |
en |
Harmful Algal Blooms |
A harmful algal bloom (HAB) occurs when toxin-producing algae grow excessively in a body of water. Algae are microscopic organisms that live in aquatic environments and use photosynthesis to produce energy from sunlight, just like plants. The excessive algal growth, or algal bloom, becomes visible to the naked eye and can be green, blue-green, red, or brown, depending on the type of algae. |
| neurotoxic domoic acid | 0.392745 |
| airborne toxins | 0.3579 |
| term health effects | 0.420968 |
| economic impacts | 0.377574 |
| common HABs | 0.602634 |
| harmful algal bloom | 0.492829 |
| recreational areas | 0.380488 |
| HABs | 0.943382 |
| NIEHS support | 0.379446 |
| human health | 0.572242 |
| state health officials | 0.406098 |
| regional HAB forecasts | 0.413664 |
| organism Karenia brevis | 0.361003 |
| Alexandrium fundyense bloom | 0.385445 |
| short term memory | 0.376589 |
| internal annual clock | 0.353558 |
| low level exposures | 0.374403 |
| HAB toxins | 0.604331 |
| public health officials | 0.38403 |
| domoic acid | 0.507804 |
| scientists | 0.351778 |
| NIEHS-funded Woods Hole | 0.379458 |
| health effects | 0.537186 |
| toxin-producing algae | 0.364296 |
| excessive algal growth | 0.456116 |
|
| Hole Oceanographic Institution | 0.483141 |
| Environmental Sample Processor | 0.643362 |
| HAB-related toxins | 0.384227 |
| paralytic shellfish poisoning | 0.375066 |
| long term effects | 0.382896 |
| recreationally caught seafood | 0.387875 |
| Woods Hole Center | 0.81038 |
| Administration studies HABs | 0.646677 |
| cystic fibrosis | 0.352577 |
| water treatment plants | 0.395893 |
| minimal economic impacts | 0.355742 |
| harmful algal blooms | 0.446013 |
| public health | 0.386735 |
| local health advisories | 0.410462 |
| remotely test seawater | 0.360093 |
| Human Health Program | 0.402242 |
| low level exposure | 0.361971 |
| Woods Hole Oceanographic | 0.488629 |
| drinking water sources | 0.56797 |
| Human Health. | 0.359967 |
| algae Alexandrium fundyense | 0.40309 |
| time damages brain | 0.364207 |
| warmer water temperatures | 0.423583 |
| low level | 0.381333 |
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| 16604 |
National Institute of Environmental Health Sciences |
Html |
en |
Request for Applications |
null |
| Complex Disease Outcomes | 0.44269 |
| Neuroscience Research | 0.342499 |
| New Investigators | 0.314504 |
| OD-17-013 Tobacco Regulatory | 0.4289 |
| CNS Small Blood | 0.600042 |
| R21 | 0.282735 |
| Creating Virtual Consortium | 0.424251 |
| Innovative Approaches | 0.317484 |
| Cancer Immunoprevention Research | 0.448358 |
| R24 | 0.243887 |
| Translational/Transdisciplinary Environmental Research | 0.487286 |
| New Environmental Scientist | 0.680923 |
| Immuno-Oncology Translation Network | 0.57748 |
| Model Organism Research | 0.470987 |
| EHS CC | 0.334179 |
| NIH Revision Awards | 0.474345 |
| Research Projects | 0.411478 |
| Environmental Epidemiology Cohorts | 0.500616 |
| AA-18-007 NIH Blueprint | 0.459649 |
| OD-17-014 Tobacco Regulatory | 0.42655 |
| Toxicology Testing | 0.319043 |
| Chemical Toxicity Screening | 0.42975 |
| Trial Not Allowed | 0.332615 |
| Outstanding New Environmental | 0.686 |
| Target Identification | 0.307541 |
|
| Reduce Animal | 0.314027 |
| NS-18-007 NIH Blueprint | 0.471778 |
| Organotypic Culture Models | 0.436552 |
| Cancer Immunotherapy Research | 0.455365 |
| SBIR Phase IIB | 0.451033 |
| Functional Heterogeneity | 0.329198 |
| Enrich Resource Infrastructure | 0.452224 |
| Environmental Health Sciences | 0.653664 |
| Regulatory Science Small | 0.424889 |
| Lymphatic Vessels | 0.416025 |
| Grant Program | 0.302409 |
| Disease Mechanisms Specific | 0.405835 |
| Experimental Animals | 0.328151 |
| Tobacco Regulatory Science | 0.690892 |
| Clinical Trial Optional | 0.46297 |
| ONES | 0.24071 |
| ES-17-003 Environmental Health | 0.466505 |
| R01 Clinical Trial | 0.9507 |
| Time-Sensitive Research Opportunities | 0.466832 |
| Dynamic Neuroimmune Interactions | 0.416097 |
| Sciences Core Centers | 0.437108 |
| Diversity Specialized Predoctoral | 0.419143 |
| Human Studies | 0.312119 |
| Postdoctoral Advancement | 0.314025 |
|
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