Superfund Research Program
- 357 - Early Life Exposures May Shape Infant Immune System -- Cardenas
Release Date: 09/04/2024Exposure to certain chemicals during early pregnancy may influence how a baby’s immune system develops, according to a study partly funded by the NIEHS Superfund Research Program (SRP). The scientists discovered that some per- and polyfluoroalkyl substances (PFAS) and metals may alter how an infant’s immune system responds to environmental triggers.
- 354 - High Seafood Diet May Lead to Increased PFAS Exposure -- Chen
Release Date: 06/05/2024A study funded by the NIEHS Superfund Research Program (SRP) found that consuming some types of commercial seafood in high quantities may increase the risk of PFAS exposure. Led by Celia Chen, Ph.D., Kate Crawford, Ph.D., and Megan Romano, Ph.D., at Dartmouth College, the research team believes their findings can support the development of consumption guidelines to protect communities from further PFAS exposure.
- 350 - New Model Estimates the Effects of Dioxin on Liver Cholesterol -- Zhang
Release Date: 02/07/2024Scientists funded partly by the NIEHS Superfund Research Program (SRP) developed a computer model to determine the health effects of exposure to dioxins. Researchers use the model to combine data on exposures and on known health outcomes to assess the overall risk chemicals could pose to health. For this study, researchers at the Michigan State University SRP Center and Emory University created a computational model to show how the highly toxic chemical 2,3,7,8- tetrachlorodibenzo-p-dioxin (TCDD) affects biological processes that increase cholesterol levels in the liver.
- 348 - Environmentally Persistent Free Radicals, PAHs Interact to Increase Toxicity of Particulate Mixtures -- Lomnicki
Release Date: 12/13/2023Toxic air pollutants called environmentally persistent free radicals (EPFRs) may react with certain polycyclic aromatic hydrocarbons (PAHs) on the surface of airborne particles to form more toxic chemicals, according to researchers funded by the NIEHS Superfund Research Program (SRP). The study, led by Slawomir Lomnicki, Ph.D., of the Louisiana State University SRP Center, demonstrated that interactions between components of fine particulate matter mixtures may enhance their overall toxicity.
- 346 - Mechanism of Cadmium-induced Neurotoxicity, Potential Treatment Revealed -- Lu
Release Date: 10/04/2023A particular class of extracellular vesicles protects against neurotoxicity caused by cadmium exposure, according to an NIEHS Superfund Research Program (SRP)-funded study. Extracellular vesicles are small packages of fats, nucleic acids, or proteins that allow cells to communicate with each other and support numerous cellular functions.
- 344 - Benzene Exposure During Pregnancy Affects Later-Life Metabolic Health -- Sadagurski
Release Date: 08/02/2023Prenatal exposure to the air pollutant benzene may lead to a higher risk of metabolic diseases later in life, according to a study in mice partially funded by the NIEHS Superfund Research Program (SRP). Benzene affects neurodevelopment, predisposing offspring to harmful metabolic effects, according to a research team led by Marianna Sadagurski, Ph.D., of the Wayne State University SRP Center.
- 343 - Cadmium-Linked Inflammation Increases the Severity of Lung Infection -- Carter
Release Date: 07/12/2023Researchers funded in part by the NIEHS Superfund Research Program (SRP) uncovered a key mechanism explaining how inflammation caused by cadmium exposure makes lung infections more severe and deadly.
- 337 - Dioxin Disrupts Liver Cells in Mice, Potential Link with Liver Disease -- Zacharewski, Nault
Release Date: 01/11/2023An NIEHS Superfund Research Program (SRP)-funded study in mice reported that exposure to a type of dioxin can alter cells in the liver, their metabolic characteristics, and how they are organized within the liver. According to the researchers, these changes in cell behavior and organization play a role in the development of dioxin-induced liver diseases, such as fibrosis and fatty liver disease.
- 334 - Disentangling Relationships Between Arsenic and the Gut Microbiome -- Fry, Lu, Bradham
Release Date: 10/06/2022Using an innovative method to simulate the gastrointestinal (GI) system, an NIEHS Superfund Research Program (SRP)-funded study revealed the interplay between arsenic exposure and the gut microbiome. The scientists assessed how arsenic alters the microbiome and how much arsenic can be dissolved into the bloodstream after being broken down by the gut, also known as bioaccessibility.
- 333 - Combining Arsenic Data Across Populations Sheds Light on Exposure Sources -- van Geen, Cardenas, Lewis
Release Date: 09/07/2022By combining data across three different populations, NIEHS Superfund Research Program (SRP) researchers were able to better characterize sources of arsenic exposure that should be included in risk assessments. The study was a collaboration among the University of California (UC), Berkeley, University of New Mexico (UNM), and Columbia University SRP centers.
- 329 - Protein Provides Insight into Respiratory Toxicity of Cadmium -- Antony
Release Date: 05/04/2022A protein called fibrinogen can be an indicator of cadmium exposure in people with chronic obstructive pulmonary disease (COPD), according to a study led by Veena Antony, M.D., director of the NIEHS Superfund Research Program (SRP) Center at the University of Alabama, Birmingham. COPD stems from thickening of airways in the lungs, resulting in shortness of breath and persistent coughing.
- 325 - Biosensor Helps Characterize Contaminants and Health Risks Following Disasters -- Unger, Knap
Release Date: 01/05/2022A sophisticated biosensor may provide information about contaminant distribution in the aftermath of natural disasters, according to an NIEHS Superfund Research Program (SRP)-funded study. Led by former Texas A&M University (TAMU) SRP Center trainee Krisa Camargo and Michael Unger, Ph.D., from the Virginia Institute of Marine Sciences, the team demonstrated this type of tool is useful for quickly characterizing and prioritizing environmental samples for further analysis, particularly in the context of disaster research response.
- 324 - Combined Approach Sheds Light on Global Cancer Risk -- Selin
Release Date: 12/01/2021About 90% of the global lung cancer risk from polycyclic aromatic hydrocarbons (PAHs) does not come from benzo(a)pyrene, according to a study funded by the NIEHS Superfund Research Program (SRP). Some of these compounds are not regularly monitored.
- 323 - New Passive Sampling Device for PFAS -- Lohmann, Hurt
Release Date: 11/03/2021Researchers from the NIEHS Superfund Research Program (SRP)-funded centers at the University of Rhode Island (URI) and Brown University developed a new type of passive sampling device for per- and polyfluoroalkyl substances (PFAS). Their new tool overcomes many limitations to traditional approaches, such as detecting short-chain PFAS and low concentrations of the chemicals in water.
- 322 - Helping Communities Monitor Air Pollution Using Plants -- Ramirez-Andreotta
Release Date: 10/06/2021An NIEHS Superfund Research Program (SRP)-funded study revealed that certain plants can be used to effectively monitor metals and other pollutants in air. Community members collected environmental data used in the study as part of the Gardenroots project, which involves residents in research activities to evaluate human and environmental health effects near former and operating mining sites in Arizona. The study was led by University of Arizona SRP Center researcher Monica Ramirez-Andreotta, Ph.D.
- 321 - First-of-its-Kind Arsenic Meta-Analysis Paves the Way for Future Data Integration -- Cardenas, Gamble
Release Date: 09/01/2021Researchers from NIEHS Superfund Research Program (SRP) centers at the University of California (UC), Berkeley and Columbia University used advanced analysis techniques to combine data from populations in Chile and Bangladesh. The purpose was to detect common DNA methylation (DNAm) signatures associated with arsenic exposure.
- 320 - Characterizing Arsenic Exposure in Public Water Supplies and Private Wells -- Navas-Acien
Release Date: 08/04/2021A recent NIEHS Superfund Research Program (SRP)-funded study revealed that while arsenic concentrations in community water systems (CWS) have decreased over time, certain populations are still vulnerable to elevated levels of arsenic.
- 317 - New Technique Sheds Light on PFAS in Coastal Watersheds -- Sunderland
Release Date: 05/05/2021A new analytical workflow, developed by NIEHS Superfund Research Program (SRP) grantees, can identify and characterize previously undetected per- and polyfluoroalkyl (PFAS) compounds in contaminated watersheds. The team is led by Elsie Sunderland, Ph.D., of the University of Rhode Island SRP Center, and SRP trainee Bridger Ruyle, a doctoral student at Harvard.
- 306 - Three-Dimensional Cell Model Enhances DNA Damage Testing -- Engelward
Release Date: 06/03/2020Superfund Research Program (SRP) Center scientists developed a new platform, known as the SpheroidChip analysis method, to rapidly test for DNA damage in three-dimensional (3D) cell models. Development was led by Bevin Engelward, Sc.D., at the Massachusetts Institute of Technology.
- 300 - Nanotube Sensor Detects Nitrosamines in Air -- Swager
Release Date: 12/04/2019Massachusetts Institute of Technology Superfund Research Program researchers have developed a sensitive and inexpensive carbon nanotube-based sensor that can measure N-nitrosamines in air.
- 299 - Modeling Approaches Estimate Exposure and Simulate Impacts on Health -- Levy
Release Date: 11/06/2019Researchers from the Boston University (BU) Superfund Research Program (SRP) Center developed and applied novel statistical models to cost-effectively predict chemical exposures and their associated harm to human health in large populations. These statistically powerful approaches can address the challenges of measuring exposures for large populations and quantifying the health benefits of exposure reduction.
- 298 - Collaborative Cross Mice Can Fill Data Gaps in Risk Assessment -- Rusyn
Release Date: 10/02/2019NIEHS Superfund Research Program (SRP) grantees showed how the Collaborative Cross (CC) mouse model, which uses genetically diverse mice to capture over 90% of known mouse genetic variations, can account for individual differences in susceptibility to environmental chemicals. Led by Ivan Rusyn, M.D., Ph.D., director of the Texas A&M University SRP Center, researchers measured variability in kidney toxicity and metabolism in CC mice after exposing them to tetrachloroethylene (PERC).
- 297 - Identifying Key Characteristics of Chemicals that Harm Male and Female Reproduction -- Smith
Release Date: 09/04/2019Researchers from the University of California, Berkeley (UC Berkeley) Superfund Research Program (SRP) Center developed and applied a “key characteristics” framework to help risk assessors better identify, organize, and summarize the potential reproductive health risks of different chemicals.
- 295 - Model Predicts PAH Levels in Important Tribal Food Source -- Anderson
Release Date: 07/10/2019A sediment passive sampling model can be used to accurately predict the concentration of polycyclic aromatic hydrocarbons (PAHs) in butter clams, according to a recent Superfund Research Program (SRP) study. Led by Kim Anderson, Ph.D., of the Oregon State University (OSU) SRP Center, the research team worked closely with tribal leaders to better predict PAH levels in butter clams while having a minimal impact on this important resource.
- 294 - New Method Quickly Screens Chemicals for Cancer Risk -- Monti
Release Date: 06/05/2019Boston University (BU) researchers, in collaboration with researchers at the National Toxicology Program (NTP) and the Broad Institute, have developed and evaluated a new approach to assess whether exposure to a chemical increases a person’s long-term cancer risk. The fast, cost-effective method uses gene expression profiling, which measures the activity of a thousand or more genes to capture what is happening in a cell. Based on gene expression profiling data, the researchers were able to infer specific biological changes at the cellular level and predict potential carcinogenicity of chemicals, or the ability of chemicals to cause cancer.