Multigenerational Exposure to Uranium Changes Sperm Metabolome in Rats

Male infertility is a major public health issue that can be induced by a host of lifestyle risk factors such as environment, nutrition, smoking, stress, and endocrine disruptors. Regarding the human population exposed to uranium, it is necessary to explore these effects on male reproduction in multi...

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Main Authors: Stéphane Grison, Audrey Legendre, Ljubica Svilar, Christelle Elie, Dimitri Kereselidze, Céline Gloaguen, Philippe Lestaevel, Jean-Charles Martin, Maâmar Souidi
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/23/15/8349
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author Stéphane Grison
Audrey Legendre
Ljubica Svilar
Christelle Elie
Dimitri Kereselidze
Céline Gloaguen
Philippe Lestaevel
Jean-Charles Martin
Maâmar Souidi
author_facet Stéphane Grison
Audrey Legendre
Ljubica Svilar
Christelle Elie
Dimitri Kereselidze
Céline Gloaguen
Philippe Lestaevel
Jean-Charles Martin
Maâmar Souidi
author_sort Stéphane Grison
collection DOAJ
description Male infertility is a major public health issue that can be induced by a host of lifestyle risk factors such as environment, nutrition, smoking, stress, and endocrine disruptors. Regarding the human population exposed to uranium, it is necessary to explore these effects on male reproduction in multigenerational studies. The sensitivity of mass spectrometry (MS)-based methods has already proved to be extremely useful in metabolite identification in rats exposed to low doses of uranium, but also in human sperm. We applied this method to rat sperm over three generations (F0, F1 and F2) with multigenerational uranium exposure. Our results show a significant content of uranium in generation F0, and a reduction in the pregnancy rate only in generation F1. Based on principal component analysis (PCA), we observed discriminant profiles between generations. The partial least squares discriminant analysis (PLS-DA) of the 48 annotated variables confirmed that parental exposure of generation F0 (during both the preconceptional and prenatal periods) can have metabolic effects on spermatozoa for the next two generations. Metabolomics applied to epididymal spermatozoa is a novel approach to detecting the multigenerational effects of uranium in an experimental model, but could be also recommended to identify potential biomarkers evaluating the impact of uranium on sperm in exposed infertile men.
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spelling doaj.art-ceb45aadee36419ab42cbe1136a50d272023-11-30T22:25:42ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672022-07-012315834910.3390/ijms23158349Multigenerational Exposure to Uranium Changes Sperm Metabolome in RatsStéphane Grison0Audrey Legendre1Ljubica Svilar2Christelle Elie3Dimitri Kereselidze4Céline Gloaguen5Philippe Lestaevel6Jean-Charles Martin7Maâmar Souidi8Institut de Radioprotection et de Sûreté Nucléaire, PSE-SANTE, 92260 Fontenay-aux-Roses, FranceInstitut de Radioprotection et de Sûreté Nucléaire, PSE-SANTE, 92260 Fontenay-aux-Roses, FranceC2VN, CRIBIOM, Aix Marseille Université, 13007 Marseille, FranceInstitut de Radioprotection et de Sûreté Nucléaire, PSE-SANTE, 92260 Fontenay-aux-Roses, FranceInstitut de Radioprotection et de Sûreté Nucléaire, PSE-SANTE, 92260 Fontenay-aux-Roses, FranceInstitut de Radioprotection et de Sûreté Nucléaire, PSE-SANTE, 92260 Fontenay-aux-Roses, FranceInstitut de Radioprotection et de Sûreté Nucléaire, PSE-SANTE, 92260 Fontenay-aux-Roses, FranceC2VN, INRAE, INSERM, BIOMET, Aix Marseille Université, 13007 Marseille, FranceInstitut de Radioprotection et de Sûreté Nucléaire, PSE-SANTE, 92260 Fontenay-aux-Roses, FranceMale infertility is a major public health issue that can be induced by a host of lifestyle risk factors such as environment, nutrition, smoking, stress, and endocrine disruptors. Regarding the human population exposed to uranium, it is necessary to explore these effects on male reproduction in multigenerational studies. The sensitivity of mass spectrometry (MS)-based methods has already proved to be extremely useful in metabolite identification in rats exposed to low doses of uranium, but also in human sperm. We applied this method to rat sperm over three generations (F0, F1 and F2) with multigenerational uranium exposure. Our results show a significant content of uranium in generation F0, and a reduction in the pregnancy rate only in generation F1. Based on principal component analysis (PCA), we observed discriminant profiles between generations. The partial least squares discriminant analysis (PLS-DA) of the 48 annotated variables confirmed that parental exposure of generation F0 (during both the preconceptional and prenatal periods) can have metabolic effects on spermatozoa for the next two generations. Metabolomics applied to epididymal spermatozoa is a novel approach to detecting the multigenerational effects of uranium in an experimental model, but could be also recommended to identify potential biomarkers evaluating the impact of uranium on sperm in exposed infertile men.https://www.mdpi.com/1422-0067/23/15/8349uraniummultigenerationallow-dosechronic exposurespermmetabolomic
spellingShingle Stéphane Grison
Audrey Legendre
Ljubica Svilar
Christelle Elie
Dimitri Kereselidze
Céline Gloaguen
Philippe Lestaevel
Jean-Charles Martin
Maâmar Souidi
Multigenerational Exposure to Uranium Changes Sperm Metabolome in Rats
International Journal of Molecular Sciences
uranium
multigenerational
low-dose
chronic exposure
sperm
metabolomic
title Multigenerational Exposure to Uranium Changes Sperm Metabolome in Rats
title_full Multigenerational Exposure to Uranium Changes Sperm Metabolome in Rats
title_fullStr Multigenerational Exposure to Uranium Changes Sperm Metabolome in Rats
title_full_unstemmed Multigenerational Exposure to Uranium Changes Sperm Metabolome in Rats
title_short Multigenerational Exposure to Uranium Changes Sperm Metabolome in Rats
title_sort multigenerational exposure to uranium changes sperm metabolome in rats
topic uranium
multigenerational
low-dose
chronic exposure
sperm
metabolomic
url https://www.mdpi.com/1422-0067/23/15/8349
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