Registration Dossier

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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.

The new ECHA CHEM database has been released by ECHA, and it now contains all REACH registration data. There are more details on the transition of ECHA's published data to ECHA CHEM here.

Diss Factsheets

Toxicological information

Toxicity to reproduction

Currently viewing:

Administrative data

Endpoint:
screening for reproductive / developmental toxicity
Type of information:
read-across based on grouping of substances (category approach)
Adequacy of study:
weight of evidence
Study period:
May 2021
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
other: Prediction from OECD QSAR Toolbox
Justification for type of information:
REPORTING FORMAT FOR THE CATEGORY APPROACH
[Please provide information for all of the points below addressing endpoint-specific elements that were not already covered by the overall category approach justification made available at the category level. Indicate if further information is included as attachment to the same record, or elsewhere in the dataset (insert links in 'Cross-reference' table)]

1. HYPOTHESIS FOR THE CATEGORY APPROACH (ENDPOINT LEVEL)
The OECD QSAR Toolbox is designed to create categories of substances based on defined similarity criterions. The category consists of similar substances and experimental data for category members is available. Therefore a prediction for the target chemical is possible based on the experimental data of the source substances. For details, please refer to attached documentation.

2. CATEGORY APPROACH JUSTIFICATION (ENDPOINT LEVEL
[Summarise here based on available experimental data how these results verify that the read-across is justified]
The OECD QSAR Toolbox is designed to create categories of substances based on defined similarity criterions. Data is gathered from internationally recognised inventories and databases. For details, please refer to attached documentation.

1. SOFTWARE
OECD QSAR Toolbox
2. MODEL (incl. version number)
4.4.1
3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
OC[C@H](O)[C@@H](O)[C@H](O[C@H]1O[C@H](CO)[C@@H](O)[C@H](O)[C@H]1O)[C@H](O)CO
4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
[[Explain how the model fulfils the OECD principles for (Q)SAR model validation. Consider attaching the QMRF and/or QPRF or providing a link]
- Defined endpoint: for this prediction, any studies on reproductive effects were considered. Therefore the defined endpoint is "reproductive toxicity"
- Unambiguous algorithm: the prediction is done based on categorising similar chemicals with known experimental data
- Defined domain of applicability: the category is build up around the target substance. Therefore the substance is within the domain of applicability
- Appropriate measures of goodness-of-fit and robustness and predictivity: given in reports
- Mechanistic interpretation: when effects are predicted, an analysis of the category members contributing to the prediction will be done and a mechanistic interpretation will be performed.

5. APPLICABILITY DOMAIN
[Explain how the substance falls within the applicability domain of the model]
The category build up with QSAR toolbox considers the structural, empirical and/or mechanistical (including metabolism) properties of the substance. Therefore the category which is used for predicition is unique to the substance and it can be concluded that the substance falls within the applicability domain.

6. ADEQUACY OF THE RESULT
[Explain how the prediction fits the purpose of classification and labelling and/or risk assessment]
No adverse effects for the substance are predicted. Therefore information are available to conclude on classification.

Data source

Reference
Reference Type:
other company data
Title:
Unnamed
Year:
2021
Report date:
2021

Materials and methods

Test guideline
Qualifier:
no guideline followed
Principles of method if other than guideline:
Prediction using OECD QSAR Toolbox.
GLP compliance:
no
Limit test:
no

Test material

Constituent 1
Chemical structure
Reference substance name:
4-O-α-D-glucopyranosyl-D-glucitol
EC Number:
209-567-0
EC Name:
4-O-α-D-glucopyranosyl-D-glucitol
Cas Number:
585-88-6
Molecular formula:
C12H24O11
IUPAC Name:
(2S,3R,4R,5R)-4-[(2R,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyhexane-1,2,3,5,6-pentol
Specific details on test material used for the study:
not applicable for in silico

Test animals

Species:
rat
Strain:
not specified
Details on species / strain selection:
experimental data from various studies using mainly rats is considered.
Sex:
not specified

Results and discussion

Results: P0 (first parental generation)

Effect levels (P0)

Key result
Dose descriptor:
NOAEL
Effect level:
3 130 mg/kg bw/day (nominal)
Based on:
test mat.
Sex:
not specified
Basis for effect level:
reproductive performance
Remarks on result:
other: predicted value

Results: F1 generation

Effect levels (F1)

Key result
Dose descriptor:
NOAEL
Generation:
F1
Effect level:
3 130 mg/kg bw/day (nominal)
Based on:
test mat.
Sex:
not specified
Basis for effect level:
other: any toxicological effects

Overall reproductive toxicity

Key result
Reproductive effects observed:
no
Lowest effective dose / conc.:
3 130 mg/kg bw/day (nominal)
Treatment related:
no

Applicant's summary and conclusion

Conclusions:
A NOAEL of 3130 mg/kg bw/day for Reproductive effects is predicted using OECD QSAR Toolbox.