4 Works

Data from: Application of benchmark concentration (BMC) analysis on zebrafish data – a new perspective for quantifying toxicity in alternative animal models

Jui-Hua Hsieh, Kristen Ryan, Alexander Sedykh, Ja-An Lin, Andrew J. Shapiro, Frederick Parham & Mamta Behl
Over the past decade, the zebrafish is increasingly being used as a model to screen for chemical-mediated toxicities including developmental toxicity (DT) and neurotoxicity (NT). One of the major challenges is lack of harmonization in data analysis approaches, thereby posing difficulty in comparing findings across laboratories. To address this, we sought to establish a unified data analysis strategy for both DT and NT data, by adopting the benchmark concentration (BMC) analysis. There are two critical...

Data from: Functional and mechanistic neurotoxicity profiling using human iPSC–derived neural 3D cultures

Oksana Sirenko, Frederick Parham, Kristen Ryan, Carole Crittenden, Grischa Chandy, Sarah Vargas-Hurlston, Steven Dea, Neha Sodhi, Steven Biesmans, Sergio Mora, Olivin Guicherit, Mamta Behl, Fabian Zanella, Ryan Gordon & Cassiano Carromeu
Neurological disorders affect millions of people worldwide and appear to be on the rise. While the reason for this increase remains unknown, environmental factors are a suspected contributor. Hence, there is an urgent need to develop more complex, biologically relevant, and predictive in vitro assays to screen larger sets of compounds with the potential for neurotoxicity. Here, we employed a human induced pluripotent stem cell (iPSC)-based 3D neural platform composed of mature cortical neurons and...

Data from: Evaluating in vitro-in vivo extrapolation of toxicokinetics

John F. Wambaugh, Michael F. Hughes, Caroline L. Ring, Denise K. MacMillan, Jermaine Ford, Timothy R. Fennell, Sherry R. Black, Rodney W. Snyder, Nisha S. Sipes, Barbara Wetmore, Joost Westerhout, R. Woodrow Setzer, Robert Pearce, Jane-Ellen Simmons, Russell S. Thomas, Robert G Pearce, Barbara A Wetmore & Jane Ellen Simmons
Prioritizing the risk posed by thousands of chemicals potentially present in the environment requires exposure, toxicity, and toxicokinetic (TK) data, which are often unavailable. Relatively high throughput, in vitro TK (HTTK) assays and in vitro-to-in vivo extrapolation (IVIVE) methods have been developed to predict TK, but most of the in vivo TK data available to benchmark these methods are from pharmaceuticals. Here we report on new, in vivo rat TK experiments for 26 non-pharmaceutical chemicals...

Data from: Dietary challenges differentially affect activity and sleep/wake behavior in mus musculus: isolating independent associations with diet/energy balance and body weight

Isaac J. Perron, Brendan T. Keenan, Karthikeyani Chellappa, Nicholas F. Lahens, Nicole Y. Yohn, Keith R. Shockley, Allan I. Pack & Sigrid C. Veasey
Background and Aims: Associated with numerous metabolic and behavioral abnormalities, obesity is classified by metrics reliant on body weight (such as body mass index). However, overnutrition is the common cause of obesity, and may independently contribute to these obesity-related abnormalities. Here, we use dietary challenges to parse apart the relative influence of diet and/or energy balance from body weight on various metabolic and behavioral outcomes. Materials and Methods: Seventy male mice (mus musculus) were subjected...

Registration Year

  • 2018
    4

Resource Types

  • Dataset
    4

Affiliations

  • National Institute of Environmental Health Sciences
    4
  • University of Pennsylvania
    1
  • University of North Carolina
    1
  • Netherlands Organisation for Applied Scientific Research
    1
  • National Institutes of Health
    1
  • Environmental Protection Agency
    1
  • Environmental Protection Agency
    1
  • Environmental Protection Agency
    1
  • RTI International
    1