Investigation and risk assessment of dibutyl phthalate in a typical region by a high-throughput dual-signal immunoassay

2022 ◽  
Vol 425 ◽  
pp. 127991
Author(s):  
Dinghui Xiong ◽  
Nuanfei Zhu ◽  
Fang Zhu ◽  
Salome Yakubu ◽  
Jungang Lv ◽  
...  
2016 ◽  
Vol 10 (1) ◽  
pp. 74-80 ◽  
Author(s):  
Ji Young Hong ◽  
So Yeon Yu ◽  
Jeong Jin Ahn ◽  
Seol Young Kim ◽  
Gi Won Kim ◽  
...  

2021 ◽  
Author(s):  
Alfredo Maria Gravagnuolo ◽  
Layla Faqih ◽  
Cara Cronshaw ◽  
Jackie Wynn ◽  
Paul Klapper ◽  
...  

2016 ◽  
Vol 214 (1) ◽  
pp. S26-S27
Author(s):  
Sharon M. Cooley ◽  
Jennifer C. Donnelly ◽  
Mary Deering ◽  
Ajita Raman ◽  
Mary O'Reilly ◽  
...  

2018 ◽  
Vol 38 (1) ◽  
pp. 12-26 ◽  
Author(s):  
Daniel L. Villeneuve ◽  
Katie Coady ◽  
Beate I. Escher ◽  
Ellen Mihaich ◽  
Cheryl A. Murphy ◽  
...  

2008 ◽  
Vol 27 (6) ◽  
pp. 405-405
Author(s):  
David J. Dix

The U.S. Environmental Protection Agency (EPA), National Toxicology Program (NTP), and National Institutes of Health (NIH) Chemical Genomics Center (NCGC) have complementary research programs designed to improve chemical toxicity evaluations by developing high throughput screening (HTS) methods that evaluate the impact of environmental chemicals on key toxicity pathways. These federal partners are coordinating an extension of the EPA’s ToxCast program, the NTP’s HTS initiative, and the NCGC’s Molecular Libraries Initiative into a collaborative research program focused on identifying toxicity pathways and developing in vitro assays to characterize the ability of chemicals to perturb those pathways. The goal is to develop new paradigm for high throughput toxicity testing that collects mechanistic and quantitative data from in vitro assays measuring chemical modulation of biological processes involved in the progression to toxicity. As toxicity pathways are identified, the in vitro assays can be optimized for comparison to in vivo animal studies, and for predicting effects in humans. Subsequent computational modeling of toxicity pathway responses and appropriate chemical dosimetry will need to be developed to make these predictions relevant for human health risk assessment. This work was reviewed by EPA and approved for publication but does not necessarily reflect official Agency policy. Index Terms: Toxicogenomics, High Throughput Screening/Testing, EPA ToxCast, Chemical Risk Assessment


EBioMedicine ◽  
2021 ◽  
Vol 70 ◽  
pp. 103540
Author(s):  
Alfredo Maria Gravagnuolo ◽  
Layla Faqih ◽  
Cara Cronshaw ◽  
Jacquelyn Wynn ◽  
Paul Klapper ◽  
...  

2020 ◽  
Author(s):  
A.J.F. Reardon ◽  
A. Rowan-Carroll ◽  
S.S. Ferguson ◽  
K. Leingartner ◽  
R. Gagne ◽  
...  

AbstractPer- and polyfluoroalkyl substances (PFAS) are some of the most prominent organic contaminants in human blood. Although the toxicological implications from human exposure to perfluorooctane sulfonate (PFOS) and perfluorooctanoate (PFOA) are well established, data on lesser-understood PFAS are limited. New approach methodologies (NAMs) that apply bioinformatic tools to high-throughput data are being increasingly considered to inform risk assessment for data-poor chemicals. The aim of this investigation was to identify biological response potencies (i.e., benchmark concentrations: BMCs) following PFAS exposures to inform read-across for risk assessment of data-poor PFAS. Gene expression changes were measured in primary human liver cell microtissues (i.e., 3D spheroids) after 1-day and 10-day exposures to increasing concentrations of 23 PFAS. The cells were treated with four subgroups of PFAS: carboxylates (PFCAs), sulfonates (PFSAs), fluorotelomers, and sulfonamides. An established pipeline to identify differentially expressed genes and transcriptomic BMCs was applied. We found that both PFCAs and PFSAs exhibited a trend toward increased transcriptional changes with carbon chain-length. Specifically, longer-chain compounds (7 to 10 carbons) were more likely to induce changes in gene expression, and have lower transcriptional BMCs. The combined high-throughput transcriptomic and bioinformatic analyses supports the capability of NAMs to efficiently assess the effects of PFAS in liver microtissues. The data enable potency ranking of PFAS for human liver cell spheroid cytotoxicity and transcriptional changes, and assessment of in vitro transcriptomic points of departure. These data improve our understanding of the health effects of PFAS and will be used to inform read-across for human health risk assessment.


2017 ◽  
Vol 125 (4) ◽  
pp. 623-633 ◽  
Author(s):  
Salomon Sand ◽  
Fred Parham ◽  
Christopher J. Portier ◽  
Raymond R. Tice ◽  
Daniel Krewski

2020 ◽  
Vol 16 ◽  
pp. 100136 ◽  
Author(s):  
Prachi Pradeep ◽  
Grace Patlewicz ◽  
Robert Pearce ◽  
John Wambaugh ◽  
Barbara Wetmore ◽  
...  

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