Two new NIEHS-funded Superfund Research Program (SRP) studies showed how a type of dietary fiber, inulin, may protect against heart disease, including heart disease resulting from exposure to polychlorinated biphenyls (PCBs). Inulin is found in vegetables such as asparagus and onions. According to University of Kentucky SRP Center researchers, a diet high in inulin may reduce or modify certain lipids associated with an increased chance of developing cardiovascular problems and may protect against adverse cardiovascular effects caused by environmental toxicants, such as PCBs.

Zebrafish exposed to polycyclic aromatic hydrocarbons (PAHs) in water with inadequate oxygen, or hypoxia, can experience a broad range of effects on the mitochondria, according to an NIEHS Superfund Research Program (SRP)-funded study. Changes to the function and integrity of mitochondria, which are organelles that make energy for the cell, can disrupt metabolism and reduce organism fitness and performance.

A new study funded by the Superfund Research Program (SRP) shows cadmium exposure can impair new neurons from forming and maturing in the hippocampus region of the brain. Led by Zhengui Xia, Ph.D., the researchers at the University of Washington (UW) SRP Center also found that cadmium can lead to the death of stem cells that produce these neurons. In people, learning and memory formation depends on the production of new neurons in this region of the brain.

Massachusetts Institute of Technology Superfund Research Program researchers have developed a sensitive and inexpensive carbon nanotube-based sensor that can measure N-nitrosamines in air.

Researchers 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.

NIEHS 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 AM University SRP Center, researchers measured variability in kidney toxicity and metabolism in CC mice after exposing them to tetrachloroethylene (PERC).

Researchers 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. By understanding specific events that lead to toxicity, they also may be able to systematically predict whether less studied chemicals may be reproductive toxicants and prioritize them for additional study.

Exposure to polychlorinated biphenyls (PCBs) affects glucose regulation during weight loss differently in male and female mice, according to a new Superfund Research Program (SRP) study. The researchers discovered that differences were related to the aryl hydrocarbon receptor (AhR), a protein involved in the regulation of various biological responses and cell maintenance in the body.

A 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.

Boston 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.