David Reif

Prof. David Reif

National Institutes of Health (NIH), Durham, North Carolina, USA
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2010 in Environmental Health Perspectives
Verified
Journal Article
Open access
RJRichard Judson
Richard Judson
KHKeith A. Houck
Keith A. Houck
RKRobert J. Kavlock
Robert J. Kavlock
TKThomas B. Knudsen
Thomas B. Knudsen
MMMatthew T. Martin
Matthew T. Martin
DDDavid J. Dix
David J. Dix
A peer-reviewed open access journal published by the National Institute of Environmental Health Sciences

15 May 2012 in Chemical Research in Toxicology
Verified
Journal Article
Closed access
RKRobert Kavlock
Robert Kavlock
KCKelly Chandler
Kelly Chandler
KHKeith Houck
Keith Houck
SHSid Hunter
Sid Hunter
RJRichard Judson
Richard Judson
DDDavid Dix
David Dix

1 December 2010 in Environmental Health Perspectives
Verified
Journal Article
Open access
David ReifDavid Reif
David Reif
MMMatthew T. Martin
Matthew T. Martin
STShirlee W. Tan
Shirlee W. Tan
KHKeith A. Houck
Keith A. Houck
RJRichard Judson
Richard Judson
RKRobert J. Kavlock
Robert J. Kavlock
A peer-reviewed open access journal published by the National Institute of Environmental Health Sciences

17 October 2013 in Toxicological Sciences
Verified
Journal Article
Open access
PDF file
Lisa TruongLisa Truong
Lisa Truong
David ReifDavid Reif
David Reif
LMLindsey St Mary
Lindsey St Mary
MGMitra C. Geier
Mitra C. Geier
HTHao D. Truong
Hao D. Truong
Robyn Leigh TanguayRobyn Leigh Tanguay
Robyn Leigh Tanguay
There are tens of thousands of man-made chemicals in the environment; the inherent safety of most of these chemicals is not known. Relevant biological platforms and new computational tools are needed to prioritize testing of chemicals with limited human health hazard information. We describe an experimental design for high-throughput characterization of multidimensional in vivo effects with the power to evaluate trends relating to commonly cited chemical predictors. We evaluated all 1060 unique U.S. EPA ToxCast phase 1 and 2 compounds using the embryonic zebrafish and found that 487 induced significant adverse biological responses. The utilization of 18 simultaneously measured endpoints means that the entire system serves as a robust biological sensor for chemical hazard. The experimental design enabled us to describe global patterns of variation across tested compounds, evaluate the concordance of the available in vitro and in vivo phase 1 data with this study, highlight specific mechanisms/value-added/novel biology related to notochord development, and demonstrate that the developmental zebrafish detects adverse responses that would be missed by less comprehensive testing strategies.

1 April 2012 in Reproductive Toxicology
Verified
Journal Article
Closed access
SPStephanie Padilla
Stephanie Padilla
DCD. Corum
D. Corum
BPB. Padnos
B. Padnos
DHD.L. Hunter
D.L. Hunter
ABAndrew Beam
Andrew Beam
David ReifDavid Reif
David Reif

20 April 2017 in Frontiers in Pharmacology
Verified
Journal Article
Open access
KRKyle R. Roell
Kyle R. Roell
David ReifDavid Reif
David Reif
AMAlison A. Motsinger-Reif
Alison A. Motsinger-Reif
The idea of synergistic interactions between drugs and chemicals has been an important issue in the biomedical world for over a century. As complex diseases, especially cancer, are being treated with various drug cocktails, understanding the interactions among these drugs is increasingly vital to ensuring successful treatment regimens. However, the idea of synergy is not limited to only the biomedical realm and these ideas have developed across many different disciplines, as well. In this review, we first discuss the various terminology surrounding the idea of synergy, providing a comprehensive list of terms defined across numerous disciplines. We then review the most common methodology for detection and quantification of synergy, including the two most prominent reference models for describing additive interactions: Loewe Additivity and Bliss Independence. We also discuss advantages and limitations to each method, with a focus on the Chou-Talalay Combination Index method. Finally, we describe how methods development and terminology have developed among disciplines outside of biomedicine and pharmacology, to synthesize the literature for readers.