Literature DB >> 17185251

Hormesis is biology, not religion.

Ralph R Cook, Edward J Calabrese.   

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Year:  2006        PMID: 17185251      PMCID: PMC1764167          DOI: 10.1289/ehp.114-1764167

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


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Should hormesis, as Thayer et al. (2006) implied in the title of their letter in the November 2006 issue of Environmental Health Perspectives, be dismissed by scientists, regulators, and others as simply a new faith-based religion? No. Hormesis is a data-based biological reality, one that challenges the low-dose assumptions that currently drive risk assessment processes used by regulatory and public health agencies worldwide. As we discussed in our recent commentary (Cook and Calabrese 2006), we believe that default assumptions, however well intentioned, should not trump data in the formulation of public health policy. Published scientific information supporting the hormetic nonmonotonic dose–response curve is extensive. The most recent comes from an article based on a large National Cancer Institute antitumor drug screening database (Calabrese et al. 2006), which reports that effects at low-level exposures are inconsistent with the threshold model and supportive of the hormetic model. We believe the current regulatory mandated approach of narrowly gathering effect data at high doses of exposure and then dogmatically imputing an excess burden of harmful outcomes monotonically down to and below the markedly lower levels that actually occur in the environment is wrong. This approach is wrong because it censors the observations that can be considered (only high-dose adverse effects and often just the worst-case sentinel effect) and requires the use of nonscientific assumptions that are either untested or untestable. The hormetic model addresses both of those shortcomings. It encourages the collection of data across a broader range of dose and thereby allows evaluation of both risks and benefits (specific and holistic) that would occur at these lower levels. In addition, findings based on the hormesis model are subject to tests using empirical data. Without evidence, Thayer et al. (2006) argued that we were wrong to suggest that public health might be better served by setting exposure standards at levels using data collected based on the hormetic model. We strongly disagree. With the additional information, we believe policies could be developed that would not only prevent excess disease or death over background but also promote better health, quite possibly for both the general public and more sensitive subgroups. Although we differ with Thayer et al. (2006) on a number of points, we all seem to agree that hormesis exists. Building on that consensus, perhaps we all can also agree with the perspective recently presented by Rietjens and Alink (2006): the discipline of toxicology should refocus its efforts to better address the regulatory issues of low-dose effects and risk–benefit analysis.
  4 in total

1.  Hormesis outperforms threshold model in National Cancer Institute antitumor drug screening database.

Authors:  Edward J Calabrese; John W Staudenmayer; Edward J Stanek; George R Hoffmann
Journal:  Toxicol Sci       Date:  2006-09-01       Impact factor: 4.849

2.  Future of toxicology--low-dose toxicology and risk--benefit analysis.

Authors:  Ivonne M C M Rietjens; Gerrit M Alink
Journal:  Chem Res Toxicol       Date:  2006-08       Impact factor: 3.739

3.  The importance of hormesis to public health.

Authors:  Ralph Cook; Edward J Calabrese
Journal:  Environ Health Perspect       Date:  2006-11       Impact factor: 9.031

4.  Hormesis: a new religion?

Authors:  Kristina A Thayer; Ronald Melnick; James Huff; Kathy Burns; Devra Davis
Journal:  Environ Health Perspect       Date:  2006-11       Impact factor: 9.031

  4 in total
  6 in total

Review 1.  Effects of polyphenols on brain ageing and Alzheimer's disease: focus on mitochondria.

Authors:  Sebastian Schaffer; Heike Asseburg; Sabine Kuntz; Walter E Muller; Gunter P Eckert
Journal:  Mol Neurobiol       Date:  2012-06-17       Impact factor: 5.590

Review 2.  Radical Oxygen Species, Exercise and Aging: An Update.

Authors:  Mohamed Amine Bouzid; Edith Filaire; Alan McCall; Claudine Fabre
Journal:  Sports Med       Date:  2015-09       Impact factor: 11.136

3.  Optimal experimental design strategies for detecting hormesis.

Authors:  Holger Dette; Andrey Pepelyshev; Weng Kee Wong
Journal:  Risk Anal       Date:  2011-05-05       Impact factor: 4.000

4.  Hormesis: a conversation with a critic.

Authors:  Edward J Calabrese
Journal:  Environ Health Perspect       Date:  2009-06-09       Impact factor: 9.031

5.  Exercise, oxidants, and antioxidants change the shape of the bell-shaped hormesis curve.

Authors:  Zsolt Radak; Kazunari Ishihara; Eva Tekus; Csaba Varga; Aniko Posa; Laszlo Balogh; Istvan Boldogh; Erika Koltai
Journal:  Redox Biol       Date:  2017-03-03       Impact factor: 11.799

6.  Physical Training Status Determines Oxidative Stress and Redox Changes in Response to an Acute Aerobic Exercise.

Authors:  Farnaz Seifi-Skishahr; Arsalan Damirchi; Manoochehr Farjaminezhad; Parvin Babaei
Journal:  Biochem Res Int       Date:  2016-03-15
  6 in total

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