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Placental biomarkers of phthalate effects on mRNA transcription: application in epidemiologic research

BACKGROUND: CYP19 and PPARγ are two genes expressed in the placental trophoblast that are important to placental function and are disrupted by phthalate exposure in other cell types. Measurement of the mRNA of these two genes in human placental tissue by quantitative real-time polymerase chain react...

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Autores principales: Adibi, Jennifer J, Hauser, Russ, Williams, Paige L, Whyatt, Robin M, Thaker, Harshwardhan M, Nelson, Heather, Herrick, Robert, Bhat, Hari K
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2678110/
https://www.ncbi.nlm.nih.gov/pubmed/19389254
http://dx.doi.org/10.1186/1476-069X-8-20
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author Adibi, Jennifer J
Hauser, Russ
Williams, Paige L
Whyatt, Robin M
Thaker, Harshwardhan M
Nelson, Heather
Herrick, Robert
Bhat, Hari K
author_facet Adibi, Jennifer J
Hauser, Russ
Williams, Paige L
Whyatt, Robin M
Thaker, Harshwardhan M
Nelson, Heather
Herrick, Robert
Bhat, Hari K
author_sort Adibi, Jennifer J
collection PubMed
description BACKGROUND: CYP19 and PPARγ are two genes expressed in the placental trophoblast that are important to placental function and are disrupted by phthalate exposure in other cell types. Measurement of the mRNA of these two genes in human placental tissue by quantitative real-time polymerase chain reaction (qPCR) offers a source of potential biomarkers for use in epidemiologic research. We report on methodologic challenges to be considered in study design. METHODS: We anonymously collected 10 full-term placentas and, for each, sampled placental villi at 12 sites in the chorionic plate representing the inner (closer to the cord insertion site) and outer regions. Each sample was analyzed for the expression of two candidate genes, aromatase (CYP19) and peroxisome proliferator activated receptor protein gamma (PPARγ) and three potential internal controls: cyclophilin (CYC), 18S rRNA (18S), and total RNA. Between and within placenta variability was estimated using variance component analysis. Associations of expression levels with sampling characteristics were estimated using mixed effects models. RESULTS: We identified large within-placenta variability in both transcripts (>90% of total variance) that was minimized to <20% of total variance by using 18S as an internal control and by modelling the means by inner and outer regions. 18S rRNA was the most appropriate internal control based on within and between placenta variability estimates and low correlations of 18S mRNA with target gene mRNA. Gene expression did not differ significantly by delivery method. We observed decreases in the expression of both transcripts over the 25 minute period after delivery (CYP19 p-value for trend = 0.009 and PPARγ (p-value for trend = 0.002). Using histologic methods, we confirmed that our samples were comprised predominantly of villous tissue of the fetal placenta with minimal contamination of maternally derived cell types. CONCLUSION: qPCR-derived biomarkers of placental CYP19 and PPARγ gene expression show high within-placental variability. Sampling scheme, selection of an appropriate internal control and the timing of sample collection relative to delivery can be optimized to minimize within-placenta and other sources of underlying, non-etiologic variability.
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spelling pubmed-26781102009-05-07 Placental biomarkers of phthalate effects on mRNA transcription: application in epidemiologic research Adibi, Jennifer J Hauser, Russ Williams, Paige L Whyatt, Robin M Thaker, Harshwardhan M Nelson, Heather Herrick, Robert Bhat, Hari K Environ Health Methodology BACKGROUND: CYP19 and PPARγ are two genes expressed in the placental trophoblast that are important to placental function and are disrupted by phthalate exposure in other cell types. Measurement of the mRNA of these two genes in human placental tissue by quantitative real-time polymerase chain reaction (qPCR) offers a source of potential biomarkers for use in epidemiologic research. We report on methodologic challenges to be considered in study design. METHODS: We anonymously collected 10 full-term placentas and, for each, sampled placental villi at 12 sites in the chorionic plate representing the inner (closer to the cord insertion site) and outer regions. Each sample was analyzed for the expression of two candidate genes, aromatase (CYP19) and peroxisome proliferator activated receptor protein gamma (PPARγ) and three potential internal controls: cyclophilin (CYC), 18S rRNA (18S), and total RNA. Between and within placenta variability was estimated using variance component analysis. Associations of expression levels with sampling characteristics were estimated using mixed effects models. RESULTS: We identified large within-placenta variability in both transcripts (>90% of total variance) that was minimized to <20% of total variance by using 18S as an internal control and by modelling the means by inner and outer regions. 18S rRNA was the most appropriate internal control based on within and between placenta variability estimates and low correlations of 18S mRNA with target gene mRNA. Gene expression did not differ significantly by delivery method. We observed decreases in the expression of both transcripts over the 25 minute period after delivery (CYP19 p-value for trend = 0.009 and PPARγ (p-value for trend = 0.002). Using histologic methods, we confirmed that our samples were comprised predominantly of villous tissue of the fetal placenta with minimal contamination of maternally derived cell types. CONCLUSION: qPCR-derived biomarkers of placental CYP19 and PPARγ gene expression show high within-placental variability. Sampling scheme, selection of an appropriate internal control and the timing of sample collection relative to delivery can be optimized to minimize within-placenta and other sources of underlying, non-etiologic variability. BioMed Central 2009-04-23 /pmc/articles/PMC2678110/ /pubmed/19389254 http://dx.doi.org/10.1186/1476-069X-8-20 Text en Copyright ©2009 Adibi et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology
Adibi, Jennifer J
Hauser, Russ
Williams, Paige L
Whyatt, Robin M
Thaker, Harshwardhan M
Nelson, Heather
Herrick, Robert
Bhat, Hari K
Placental biomarkers of phthalate effects on mRNA transcription: application in epidemiologic research
title Placental biomarkers of phthalate effects on mRNA transcription: application in epidemiologic research
title_full Placental biomarkers of phthalate effects on mRNA transcription: application in epidemiologic research
title_fullStr Placental biomarkers of phthalate effects on mRNA transcription: application in epidemiologic research
title_full_unstemmed Placental biomarkers of phthalate effects on mRNA transcription: application in epidemiologic research
title_short Placental biomarkers of phthalate effects on mRNA transcription: application in epidemiologic research
title_sort placental biomarkers of phthalate effects on mrna transcription: application in epidemiologic research
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2678110/
https://www.ncbi.nlm.nih.gov/pubmed/19389254
http://dx.doi.org/10.1186/1476-069X-8-20
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