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Using follicular fluid metabolomics to investigate the association between air pollution and oocyte quality
BACKGROUND AND AIM: Our objective was to use metabolomics in a toxicological-relevant target tissue to gain insight into the biological processes that may underlie the negative association between air pollution exposure and oocyte quality. METHODS: Our study included 125 women undergoing in vitro fe...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620437/ https://www.ncbi.nlm.nih.gov/pubmed/36191487 http://dx.doi.org/10.1016/j.envint.2022.107552 |
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author | Hwang, Sueyoun Hood, Robert B. Hauser, Russ Schwartz, Joel Laden, Francine Jones, Dean Liang, Donghai Gaskins, Audrey J. |
author_facet | Hwang, Sueyoun Hood, Robert B. Hauser, Russ Schwartz, Joel Laden, Francine Jones, Dean Liang, Donghai Gaskins, Audrey J. |
author_sort | Hwang, Sueyoun |
collection | PubMed |
description | BACKGROUND AND AIM: Our objective was to use metabolomics in a toxicological-relevant target tissue to gain insight into the biological processes that may underlie the negative association between air pollution exposure and oocyte quality. METHODS: Our study included 125 women undergoing in vitro fertilization at an academic fertility center in Massachusetts, US (2005–2015). A follicular fluid sample was collected during oocyte retrieval and untargeted metabolic profiling was conducted using liquid chromatography with ultra-high-resolution mass spectrometry and two chromatography columns (C18 and HILIC). Daily exposure to nitrogen dioxide (NO(2)), ozone, fine particulate matter, and black carbon was estimated at the women’s residence using spatiotemporal models and averaged over the period of ovarian stimulation (2-weeks). Multivariable linear regression models were used to evaluate the associations between the air pollutants, number of mature oocytes, and metabolic feature intensities. A meet-in-the-middle approach was used to identify overlapping features and metabolic pathways. RESULTS: Of the air pollutants, NO(2) exposure had the largest number of overlapping metabolites (C18: 105; HILIC: 91) and biological pathways (C18: 3; HILIC: 6) with number of mature oocytes. Key pathways of overlap included vitamin D3 metabolism (both columns), bile acid biosynthesis (both columns), C21-steroid hormone metabolism (HILIC), androgen and estrogen metabolism (HILIC), vitamin A metabolism (HILIC), carnitine shuttle (HILIC), and prostaglandin formation (C18). Three overlapping metabolites were confirmed with level-1 or level-2 evidence. For example, hypoxanthine, a metabolite that protects against oxidant-induced cell injury, was positively associated with NO(2) exposure and negatively associated with number of mature oocytes. Minimal overlap was observed between the other pollutants and the number of mature oocytes. CONCLUSIONS: Higher exposure to NO(2) during ovarian stimulation was associated with many metabolites and biologic pathways involved in endogenous vitamin metabolism, hormone synthesis, and oxidative stress that may mediate the observed associations with lower oocyte quality. |
format | Online Article Text |
id | pubmed-9620437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-96204372022-11-01 Using follicular fluid metabolomics to investigate the association between air pollution and oocyte quality Hwang, Sueyoun Hood, Robert B. Hauser, Russ Schwartz, Joel Laden, Francine Jones, Dean Liang, Donghai Gaskins, Audrey J. Environ Int Article BACKGROUND AND AIM: Our objective was to use metabolomics in a toxicological-relevant target tissue to gain insight into the biological processes that may underlie the negative association between air pollution exposure and oocyte quality. METHODS: Our study included 125 women undergoing in vitro fertilization at an academic fertility center in Massachusetts, US (2005–2015). A follicular fluid sample was collected during oocyte retrieval and untargeted metabolic profiling was conducted using liquid chromatography with ultra-high-resolution mass spectrometry and two chromatography columns (C18 and HILIC). Daily exposure to nitrogen dioxide (NO(2)), ozone, fine particulate matter, and black carbon was estimated at the women’s residence using spatiotemporal models and averaged over the period of ovarian stimulation (2-weeks). Multivariable linear regression models were used to evaluate the associations between the air pollutants, number of mature oocytes, and metabolic feature intensities. A meet-in-the-middle approach was used to identify overlapping features and metabolic pathways. RESULTS: Of the air pollutants, NO(2) exposure had the largest number of overlapping metabolites (C18: 105; HILIC: 91) and biological pathways (C18: 3; HILIC: 6) with number of mature oocytes. Key pathways of overlap included vitamin D3 metabolism (both columns), bile acid biosynthesis (both columns), C21-steroid hormone metabolism (HILIC), androgen and estrogen metabolism (HILIC), vitamin A metabolism (HILIC), carnitine shuttle (HILIC), and prostaglandin formation (C18). Three overlapping metabolites were confirmed with level-1 or level-2 evidence. For example, hypoxanthine, a metabolite that protects against oxidant-induced cell injury, was positively associated with NO(2) exposure and negatively associated with number of mature oocytes. Minimal overlap was observed between the other pollutants and the number of mature oocytes. CONCLUSIONS: Higher exposure to NO(2) during ovarian stimulation was associated with many metabolites and biologic pathways involved in endogenous vitamin metabolism, hormone synthesis, and oxidative stress that may mediate the observed associations with lower oocyte quality. 2022-11 2022-09-28 /pmc/articles/PMC9620437/ /pubmed/36191487 http://dx.doi.org/10.1016/j.envint.2022.107552 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ). |
spellingShingle | Article Hwang, Sueyoun Hood, Robert B. Hauser, Russ Schwartz, Joel Laden, Francine Jones, Dean Liang, Donghai Gaskins, Audrey J. Using follicular fluid metabolomics to investigate the association between air pollution and oocyte quality |
title | Using follicular fluid metabolomics to investigate the association between air pollution and oocyte quality |
title_full | Using follicular fluid metabolomics to investigate the association between air pollution and oocyte quality |
title_fullStr | Using follicular fluid metabolomics to investigate the association between air pollution and oocyte quality |
title_full_unstemmed | Using follicular fluid metabolomics to investigate the association between air pollution and oocyte quality |
title_short | Using follicular fluid metabolomics to investigate the association between air pollution and oocyte quality |
title_sort | using follicular fluid metabolomics to investigate the association between air pollution and oocyte quality |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620437/ https://www.ncbi.nlm.nih.gov/pubmed/36191487 http://dx.doi.org/10.1016/j.envint.2022.107552 |
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