2002
DOI: 10.1016/s0278-6915(01)00124-7
|View full text |Cite
|
Sign up to set email alerts
|

Statistically designed experiments in a tiered approach to screen mixtures of Fusarium mycotoxins for possible interactions

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
45
1
3

Year Published

2003
2003
2021
2021

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 72 publications
(51 citation statements)
references
References 29 publications
2
45
1
3
Order By: Relevance
“…In conclusion, this experimental design is suitable for screening purposes, but full factorial assays are necessary to test the specific effects of potential interactive compounds as has also been shown by other authors Tajima et al, 2002). These findings should be validated with other cell lines or preferably with primary cells.…”
Section: Discussionmentioning
confidence: 70%
See 1 more Smart Citation
“…In conclusion, this experimental design is suitable for screening purposes, but full factorial assays are necessary to test the specific effects of potential interactive compounds as has also been shown by other authors Tajima et al, 2002). These findings should be validated with other cell lines or preferably with primary cells.…”
Section: Discussionmentioning
confidence: 70%
“…Tested and predicted concentration-response curves were compared to evaluate potential synergistic modes of action. In the third phase, a central composite design was used to screen for possible interactions of all four mycotoxins Groten et al, 1998;Tajima et al, 2002). Toxins indicated to interact with each other in phase three were further tested in a full factorial assay design (phase four) to confirm their interactive effects.…”
Section: Introductionmentioning
confidence: 99%
“…Other designs that can be used to produce predictive response models and interactive relationships include the central composite design and full factorial designs. One study demonstrated its use in the detection of interactive effects between several mycotoxins commonly found in food or raw materials [19]; this study highlighted the advantage of their tiered central composite design approach to effectively identify two-factor interactions and the utility of full factorial designs for factor validation. Other applications of DoE approaches have been in quantifying synergistic effects of growth factors in stem cell differentiation [20,21].…”
Section: Discussionmentioning
confidence: 96%
“…For some agents, hazards have been identified by epidemiological studies before they were detected in laboratory animals. The contribution of epidemiology to risk assessment has been reviewed in more detail in an earlier FOSIE publication (van den Brandt et al, 2002). However, human epidemiology findings are not always suitable for risk characterisation.…”
Section: 24mentioning
confidence: 99%
“…There is little likelihood that such interactions would occur for the vast majority of man-made chemicals in food because risk characterisation, based on NOAELs and uncertainty factors, aims to ensure that the intake of each individual chemical would be without significant effects. However, in cases where chemicals have the same mode of action on a common target, then concentration addition applies, and effects could be produced, even when the concentrations of each individual chemical is below its no-effect level (Jonker et al, 1996;Tajima et al, 2002), particularly when there may be simultaneous exposure to a large number of chemicals that share a common adverse effect, such as xenoestrogenicity (Rajapakse et al, 2001). Therefore attention needs to be focused during risk characterisation on substances that share a common mode of action.…”
Section: Ways In Which Chemicals May Interactmentioning
confidence: 99%