The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Why Public Health Agencies Cannot Depend on Good Laboratory Practices as a Criterion for Selecting Data: The Case of Bisphenol A
Open accessAbstract
BACKGROUND: In their safety evaluations of bisphenol A (BPA), the U.S. Food and Drug Administration (FDA) and a counterpart in Europe, the European Food Safety Authority (EFSA), have given special prominence to two industry-funded studies that adhered to standards defined by Good Laboratory Practices (GLP). These same agencies have given much less weight in risk assessments to a large number of independently replicated non-GLP studies conducted with government funding by the leading experts in various fields of science from around the world. OBJECTIVES: We reviewed differences between industry-funded GLP studies of BPA conducted by commercial laboratories for regulatory purposes and non-GLP studies conducted in academic and government laboratories to identify hazards and molecular mechanisms mediating adverse effects. We examined the methods and results in the GLP studies that were pivotal in the draft decision of the U.S. FDA declaring BPA safe in relation to findings from studies that were competitive for U.S. National Institutes of Health (NIH) funding, peer-reviewed for publication in leading journals, subject to independent replication, but rejected by the U.S. FDA for regulatory purposes. DISCUSSION: Although the U.S. FDA and EFSA have deemed two industry-funded GLP studies of BPA to be superior to hundreds of studies funded by the U.S. NIH and NIH counterparts in other countries, the GLP studies on which the agencies based their decisions have serious conceptual and methodologic flaws. In addition, the U.S. FDA and EFSA have mistakenly assumed that GLP yields valid and reliable scientific findings (i.e., "good science"). Their rationale for favoring GLP studies over hundreds of publically funded studies ignores the central factor in determining the reliability and validity of scientific findings, namely, independent replication, and use of the most appropriate and sensitive state-of-the-art assays, neither of which is an expectation of industry-funded GLP research. CONCLUSIONS: Public health decisions should be based on studies using appropriate protocols with appropriate controls and the most sensitive assays, not GLP. Relevant NIH-funded research using state-of-the-art techniques should play a prominent role in safety evaluations of chemicals.
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Cites
Guide for the Care and Use of Laboratory Animals: Eighth Edition
(2011) · doi:10.17226/12910 · Cited by 16,199
Understanding Reliability and Validity in Qualitative Research
Golafshani, N. (2015) · The Qualitative Report · doi:10.46743/2160-3715/2003.1870 · Cited by 5,157
The 1996 Guide for the Care and Use of Laboratory Animals
Clark, J. D., Gebhart, G. F., Gonder, J. C., Keeling, M. E., & Kohn, D. F. (1997) · ILAR Journal · doi:10.1093/ilar.38.1.41 · Cited by 4,417
Human exposure to bisphenol A (BPA)
Vandenberg, L. N., Hauser, R., Marcus, M., Olea, N., & Welshons, W. V. (2007) · Reproductive Toxicology · doi:10.1016/j.reprotox.2007.07.010 · Cited by 2,885
Self-citationLang, I. A. (2008) · JAMA · doi:10.1001/jama.300.11.1303 · Cited by 1,458
vom Saal, F. S., & Hughes, C. (2005) · Environmental Health Perspectives · doi:10.1289/ehp.7713 · Cited by 1,173
Self-citationIn vivo effects of bisphenol A in laboratory rodent studies
Richter, C. A., Birnbaum, L. S., Farabollini, F., Newbold, R. R., Rubin, B. S., Talsness, C. E., Vandenbergh, J. G., Walser-Kuntz, D. R., & vom Saal, F. S. (2007) · Reproductive Toxicology · doi:10.1016/j.reprotox.2007.06.004 · Cited by 1,147
Self-citationWelshons, W. V., Nagel, S. C., & vom Saal, F. S. (2006) · Endocrinology · doi:10.1210/en.2005-1159 · Cited by 970
Self-citationIn vitro molecular mechanisms of bisphenol A action.
Wetherill, Y. B., Akingbemi, B. T., Kanno, J., McLachlan, J. A., Nadal, A., Sonnenschein, C., Watson, C. S., Zoeller, R. T., & Belcher, S. M. (2007) · Reproductive Toxicology · doi:10.1016/j.reprotox.2007.05.010 · Cited by 920
Self-citationHo, S.-M., Tang, W.-Y., Belmonte de Frausto, J., & Prins, G. S. (2006) · Cancer Research · doi:10.1158/0008-5472.can-06-0516 · Cited by 796
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Metadata
- Authors
- Myers, J. P., vom Saal, F. S., Akingbemi, B. T., Arizono, K., Belcher, S., Colborn, T., Chahoud, I., Crain, D. A., Farabollini, F., Guillette, L. J., Hassold, T., Ho, S.-M., Hunt, P. A., Iguchi, T., Jobling, S., Kanno, J., Laufer, H., Marcus, M., McLachlan, J. A., Nadal, A., Oehlmann, J., Olea, N., Palanza, P., Parmigiani, S., Rubin, B. S., Schoenfelder, G., Sonnenschein, C., Soto, A. M., Talsness, C. E., Taylor, J. A., Vandenberg, L. N., Vandenbergh, J. G., Vogel, S., Watson, C. S., Welshons, W. V., & Zoeller, R. T.
- Venue
- Environmental Health Perspectives
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-03
- Volume
- 117
- Issue
- 3
- Pages
- 309-315
- ISSN
- 0091-6765 (ISSN-L)
- 1552-9924
- OpenAlex
- W2085661640
- Cited by
- 306
- References
- 64
- FWCI
- 17.27
- Type
- journal article
- Language
- en
- Open access
- gold
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- Myers, J. P., vom Saal, F. S., Akingbemi, B. T., Arizono, K., Belcher, S., Colborn, T., Chahoud, I., Crain, D. A., Farabollini, F., Guillette, L. J., Hassold, T., Ho, S.-M., Hunt, P. A., Iguchi, T., Jobling, S., Kanno, J., Laufer, H., Marcus, M., McLachlan, J. A., . . . Zoeller, R. T. (2009). Why Public Health Agencies Cannot Depend on Good Laboratory Practices as a Criterion for Selecting Data: The Case of Bisphenol A. Environmental Health Perspectives. https://doi.org/10.1289/ehp.0800173
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.