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dc.contributor.author
Milesi, Maria Mercedes
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dc.contributor.author
Lorenz, Virginia
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Beldomenico, Pablo Martín
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dc.contributor.author
Vaira, Stella Maris
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dc.contributor.author
Varayoud, Jorgelina Guadalupe
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dc.contributor.author
Luque, Enrique Hugo
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dc.date.available
2020-06-10T13:00:25Z
dc.date.issued
2019-11
dc.identifier.citation
Milesi, Maria Mercedes; Lorenz, Virginia; Beldomenico, Pablo Martín; Vaira, Stella Maris; Varayoud, Jorgelina Guadalupe; et al.; Response to comments on: Perinatal exposure to a glyphosate-based herbicide impairs female reproductive outcomes and induces second generation adverse effects in Wistar rats; Springer; Archives of Toxicology; 11-2019; 1-4
dc.identifier.issn
0340-5761
dc.identifier.uri
http://hdl.handle.net/11336/107129
dc.description.abstract
We thank Prof. Plewis and Prof. Paumgartten for their interestin our article and their comments related to the applicationof statistical analyses accounting for litter effects in bothfirst- and second-generation rats (Plewis 2019; Paumgartten2019). To address this issue, we have re-analyzed our datausing linear mixed models (LMMs), which allow accountingfor the lack of independence of observations from the samelitter (Lazic and Essioux 2013).Two sets of LMMs were constructed using the statisticalsoftware R version 3.6.1 (The R foundation for statisticalcomputing, https ://www.r-proje ct.org/), package lme4, functionslmer and glmer (Bates et al. 2015). In the first set, theresponse variable was the ?pre-implantation loss rate of F1dams?, the fixed effect was ?treatment? (three-level categoricalvariable), and the random intercept included to adjust forthe litter effect was the ?ID of the F0 dams?. In the secondset of LMMs, the response variables were the feto-placentalparameters of F2 offspring (fetal length, fetal weight,placental weight, and placental index), the fixed effect was?treatment?, and the random intercept included to adjust forthe litter effect was the nested random effect ?F1 dam ID/F2 dam ID?. In addition, variables deemed a priori to bepotential confounders were individually included in bothsets of models to adjust for their influence on the relationshipof interest (McNamee 2005), and were removed fromthe model if they did not contribute to the model?s goodnessof fit (GOF). The potential confounders assessed were:food consumption of F0 dams during treatment, weight ofF0 dams at the beginning of pregnancy, number of F1 pupsper litter, F1 litter weight at birth, F1 female pup weight atbirth, age of F1 females at the time of becoming pregnant,number of F2 pups per litter.The results of our statistical re-analysis are shown inTables 1 and 2. In agreement with our previous reports(Milesi et al. 2018), we found a significant increase in therate of pre-implantation loss in the GBH-HD group comparedto controls. None of the potential confounders assessedimproved the GOF of the LMMs (Table 1).After re-analyzing our data and considering all the commentsraised by Profs. Plewis and Paumgartten, we reaffirmthe conclusions of our work (Milesi et al. 2018), in which wefound that perinatal exposure to a GBH formulation impairsreproductive performance in F1 females rats and inducesfetal growth retardation and structural congenital anomaliesin their progeny (F2 generation).
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
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dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
GLYPHOSATE-BASED HERBICIDE
dc.subject
UTERUS
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REPRODUCTIVE PERFORMANCE
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FETO-PLACENTAL PARAMETERS
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Otras Ciencias de la Salud
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dc.subject.classification
Ciencias de la Salud
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dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
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dc.title
Response to comments on: Perinatal exposure to a glyphosate-based herbicide impairs female reproductive outcomes and induces second generation adverse effects in Wistar rats
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-06-08T15:38:22Z
dc.journal.pagination
1-4
dc.journal.pais
Alemania
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dc.journal.ciudad
Berlin
dc.description.fil
Fil: Milesi, Maria Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Salud y Ambiente del Litoral. Universidad Nacional del Litoral. Instituto de Salud y Ambiente del Litoral; Argentina
dc.description.fil
Fil: Lorenz, Virginia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Salud y Ambiente del Litoral. Universidad Nacional del Litoral. Instituto de Salud y Ambiente del Litoral; Argentina
dc.description.fil
Fil: Beldomenico, Pablo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Ciencias Veterinarias del Litoral. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Instituto de Ciencias Veterinarias del Litoral; Argentina
dc.description.fil
Fil: Vaira, Stella Maris. Liseb, Fbcb, Unl; Argentina
dc.description.fil
Fil: Varayoud, Jorgelina Guadalupe. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Salud y Ambiente del Litoral. Universidad Nacional del Litoral. Instituto de Salud y Ambiente del Litoral; Argentina
dc.description.fil
Fil: Luque, Enrique Hugo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Salud y Ambiente del Litoral. Universidad Nacional del Litoral. Instituto de Salud y Ambiente del Litoral; Argentina
dc.journal.title
Archives of Toxicology
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s00204-019-02609-0
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