Bisphenol-A and Female Fertility: An Update of Existing Epidemiological Studies
Abstract
:1. Introduction
2. Materials and Methods
3. Results
3.1. Bisphenol-A and Fertility
3.2. Bisphenol-A and PCOS
3.3. Bisphenol A and Endometriosis
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Conforti, A.; Mascia, M.; Cioffi, G.; De Angelis, C.; Coppola, G.; De Rosa, P.; Pivonello, R.; Alviggi, C.; De Placido, G. Air pollution and female fertility: A systematic review of literature. Reprod. Biol. Endocrinol. 2018, 16, 117. [Google Scholar] [CrossRef]
- Kassotis, C.D.; Vandenberg, L.N.; Demeneix, B.A.; Porta, M.; Slama, R.; Trasande, L. Endocrine-disrupting chemicals: Economic, regulatory, and policy implications. Lancet Diabetes Endocrinol. 2020, 8, 719–730. [Google Scholar] [CrossRef]
- Alkema, L.; Chou, D.; Hogan, D.; Zhang, S.; Moller, A.B.; Gemmill, A.; Fat, D.M.; Boerma, T.; Temmerman, M.; Mathers, C.; et al. Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: A systematic analysis by the UN Maternal Mortality Estimation Inter-Agency Group. Lancet 2016, 387, 462–474. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Sharrow, D.; Hug, L.; You, D.; Alkema, L.; Black, R.; Cousens, S.; Croft, T.; Gaigbe-Togbe, V.; Gerland, P.; Guillot, M.; et al. Global, regional, and national trends in under-5 mortality between 1990 and 2019 with scenario-based projections until 2030: A systematic analysis by the UN Inter-agency Group for Child Mortality Estimation. Lancet Glob. Health 2022, 10, e195–e206. [Google Scholar] [CrossRef]
- Prevention, C.F.D.C.A. Key Statistics from the National Survey of Family Growth—I Listing. Available online: https://www.cdc.gov/nchs/nsfg/key_statistics/i.htm (accessed on 20 June 2017).
- World Health Organization. Infertility. Available online: https://www.who.int/news-room/fact-sheets/detail/infertility (accessed on 14 September 2020).
- Vandenberg, L.N.; Hauser, R.; Marcus, M.; Olea, N.; Welshons, W.V. Human exposure to bisphenol A (BPA). Reprod. Toxicol. 2007, 24, 139–177. [Google Scholar] [CrossRef] [PubMed]
- Healy, B.F.; English, K.R.; Jagals, P.; Sly, P. Bisphenol A exposure pathways in early childhood: Reviewing the need for improved risk assessment models. J. Expo. Sci. Environ. Epidemiol. 2015, 25, 544–556. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ma, Y.; Liu, H.; Wu, J.; Yuan, L.; Wang, Y.; Du, X.; Wang, R.; Marwa, P.W.; Petlulu, P.; Chen, X.; et al. The adverse health effects of bisphenol A and related toxicity mechanisms. Environ. Res. 2019, 176, 108575. [Google Scholar] [CrossRef]
- Tarafdar, A.; Sirohi, R.; Balakumaran, P.A.; Reshmy, R.; Madhavan, A.; Sindhu, R.; Binod, P.; Kumar, Y.; Kumar, D.; Sim, S.J. The hazardous threat of Bisphenol A: Toxicity, detection and remediation. J. Hazard. Mater. 2022, 423 Pt A, 127097. [Google Scholar] [CrossRef]
- Chevalier, N.; Fénichel, P. Bisphenol A: Targeting metabolic tissues. Rev. Endocr. Metab. Disord. 2015, 16, 299–309. [Google Scholar] [CrossRef]
- Lee, H.J.; Chattopadhyay, S.; Gong, E.-Y.; Ahn, R.S.; Lee, K. Antiandrogenic effects of bisphenol A and nonylphenol on the function of androgen receptor. Toxicol. Sci. 2003, 75, 40–46. [Google Scholar] [CrossRef] [PubMed]
- Nadal, A.; Fuentes, E.; Ripoll, C.; Villar-Pazos, S.; Castellano-Muñoz, M.; Soriano, S.; Martinez-Pinna, J.; Quesada, I.; Alonso-Magdalena, P. Extranuclear-initiated estrogenic actions of endocrine disrupting chemicals: Is there toxicology beyond paracelsus? J. Steroid. Biochem. Mol. Biol. 2018, 176, 16–22. [Google Scholar] [CrossRef] [PubMed]
- Ziv-Gal, A.; Flaws, J.A. Evidence for bisphenol A-induced female infertility: A review (2007–2016). Fertil. Steril. 2016, 106, 827–856. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Vandenberg, L.N.; Ehrlich, S.; Belcher, S.M.; Ben-Jonathan, N.; Dolinoy, D.C.; Hugo, E.R.; Hunt, A.P.; Newbold, R.R.; Rubin, B.S.; Saili, K.S.; et al. Low dose effects of bisphenol A. Endocr. Disruptors 2013, 1, e26490. [Google Scholar] [CrossRef]
- Tarantino, G.; Valentino, R.; Di Somma, C.; D’Esposito, V.; Passaretti, F.; Pizza, G.; Brancato, V.; Orio, F.; Formisano, P.; Colao, A.; et al. Bisphenol A in polycystic ovary syndrome and its association with liver-spleen axis. Clin. Endocrinol. 2013, 78, 447–453. [Google Scholar] [CrossRef]
- Louis, G.M.B.; Peterson, C.M.; Chen, Z.; Croughan, M.; Sundaram, R.; Stanford, J.; Varner, M.W.; Kennedy, A.; Giudice, L.; Fujimoto, V.Y.; et al. Bisphenol A and phthalates and endometriosis: The Endometriosis: Natural History, Diagnosis and Outcomes Study. Fertil Steril 2013, 100, 162–169.e2. [Google Scholar] [CrossRef] [Green Version]
- Caserta, D.; Ciardo, F.; Bordi, G.; Guerranti, C.; Fanello, E.; Perra, G.; Borghini, F.; La Rocca, C.; Tait, S.; Bergamasco, B.; et al. Correlation of Endocrine Disrupting Chemicals Serum Levels and White Blood Cells Gene Expression of Nuclear Receptors in a Population of Infertile Women. Int. J. Endocrinol. 2013, 2013, 510703. [Google Scholar] [CrossRef] [PubMed]
- Souter, I.; Smith, K.W.; Dimitriadis, I.; Ehrlich, S.; Williams, P.L.; Calafat, A.M.; Hauser, R. The association of bisphenol-A urinary concentrations with antral follicle counts and other measures of ovarian reserve in women undergoing infertility treatments. Reprod. Toxicol. 2013, 42, 224–231. [Google Scholar] [CrossRef] [Green Version]
- Upson, K.; Sathyanarayana, S.; De Roos, A.J.; Koch, H.M.; Scholes, D.; Holt, V.L. A population-based case–control study of urinary bisphenol A concentrations and risk of endometriosis. Hum. Reprod. 2014, 29, 2457–2464. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Vagi, S.J.; Azziz-Baumgartner, E.; Sjödin, A.; Calafat, A.M.; Dumesic, D.; Gonzalez, L.; Kato, K.; Silva, M.J.; Ye, X.; Azziz, R. Exploring the potential association between brominated diphenyl ethers, polychlorinated biphenyls, organochlorine pesticides, perfluorinated compounds, phthalates, and bisphenol a in polycystic ovary syndrome: A case–control study. BMC Endocr. Disord. 2014, 14, 86. [Google Scholar] [CrossRef] [Green Version]
- Akın, L.; Kendirci, M.; Narin, F.; Kurtoglu, S.; Saraymen, R.; Kondolot, M.; Koçak, S.; Elmalı, F.; Elmali, F. The endocrine disruptor bisphenol A may play a role in the aetiopathogenesis of polycystic ovary syndrome in adolescent girls. Acta Paediatr. 2015, 104, e171–e177. [Google Scholar] [CrossRef]
- Mínguez-Alarcón, L.; Gaskins, A.J.; Chiu, Y.H.; Williams, P.L.; Ehrlich, S.; Chavarro, J.E.; Petrozza, J.C.; Ford, J.B.; Calafat, A.M.; Hauser, R.; et al. Urinary bisphenol A concentrations and association with in vitro fertilization outcomes among women from a fertility clinic. Hum. Reprod. 2015, 30, 2120–2128. [Google Scholar] [CrossRef] [Green Version]
- Miao, M.; Yuan, W.; Yang, F.; Liang, H.; Zhou, Z.; Li, R.; Gao, E.; Li, D.-K. Associations between Bisphenol A Exposure and Reproductive Hormones among Female Workers. Int. J. Environ. Res. Public Health 2015, 12, 13240–13250. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Vahedi, M.; Saeedi, A.; Poorbaghi, S.L.; Sepehrimanesh, M.; Fattahi, M.R. Metabolic and endocrine effects of bisphenol A exposure in market seller women with polycystic ovary syndrome. Environ. Sci. Pollut. Res. 2016, 23, 23546–23550. [Google Scholar] [CrossRef] [PubMed]
- Simonelli, A.; Guadagni, R.; De Franciscis, P.; Colacurci, N.; Pieri, M.; Basilicata, P.; Pedata, P.; Lamberti, M.; Sannolo, N.; Miraglia, N. Environmental and occupational exposure to bisphenol A and endometriosis: Urinary and peritoneal fluid concentration levels. Int. Arch. Occup. Environ. Health 2017, 90, 49–61. [Google Scholar] [CrossRef] [PubMed]
- Zhou, W.; Fang, F.; Zhu, W.; Chen, Z.-J.; Du, Y.; Zhang, J. Bisphenol A and Ovarian Reserve among Infertile Women with Polycystic Ovarian Syndrome. Int. J. Environ. Res. Public Health 2017, 14, 18. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Eslami, B.; Rashidi, B.H.; Amanlou, M.; Lak, T.B.; Ghazizadeh, M. A case-control study of bisphenol A and endometrioma among subgroup of Iranian women. J. Res. Med. Sci. 2017, 22, 7. [Google Scholar] [CrossRef]
- Rashidi, B.H.; Amanlou, M.; Lak, T.B.; Ghazizadeh, M.; Haghollahi, F.; Bagheri, M.; Eslami, B. The Association Between Bisphenol A and Polycystic Ovarian Syndrome: A Case-Control Study. Acta Med. Iran. 2017, 55, 759–764. [Google Scholar]
- Gu, J.; Yuan, T.; Ni, N.; Ma, Y.; Shen, Z.; Yu, X.; Shi, R.; Tian, Y.; Zhou, W.; Zhang, J. Urinary concentration of personal care products and polycystic ovary syndrome: A case-control study. Environ. Res. 2019, 168, 48–53. [Google Scholar] [CrossRef]
- Konieczna, A.; Rachoń, D.; Owczarek, K.; Kubica, P.; Kowalewska, A.; Kudłak, B.; Wasik, A.; Namieśnik, J. Serum bisphenol A concentrations correlate with serum testosterone levels in women with polycystic ovary syndrome. Reprod. Toxicol. 2018, 82, 32–37. [Google Scholar] [CrossRef]
- Pednekar, P.P.; Gajbhiye, R.K.; Patil, A.D.; Surve, S.V.; Datar, A.G.; Balsarkar, G.D.; Chuahan, A.R.; Vanage, G.R. Estimation of plasma levels of bisphenol-A & phthalates in fertile & infertile women by gas chromatography-mass spectrometry. Indian J. Med. Res. 2018, 148, 734–742. [Google Scholar]
- Özel, Ş.; Tokmak, A.; Aykut, O.; Aktulay, A.; Hançerlioğulları, N.; Engin Ustun, Y. Serum levels of phthalates and bisphenol-A in patients with primary ovarian insufficiency. Gynecol. Endocrinol. 2019, 35, 364–367. [Google Scholar] [CrossRef] [PubMed]
- Fernandez, M.A.M.; Cardeal, Z.L.; Carneiro, M.M.; André, L.C. Study of possible association between endometriosis and phthalate and bisphenol A by biomarkers analysis. J. Pharm. Biomed. Anal. 2019, 172, 238–242. [Google Scholar] [CrossRef] [PubMed]
- Kim, H.-K.; Ko, D.-H.; Lee, W.; Kim, K.-R.; Chun, S.; Song, J.; Min, W.-K. Body fluid concentrations of bisphenol A and their association with in vitro fertilization outcomes. Hum. Fertil. 2021, 24, 199–207. [Google Scholar] [CrossRef] [PubMed]
- Akgül, S.; Sur, U.; Düzçeker, Y.; Balcı, A.; Kızılkan, M.P.; Kanbur, N.; Bozdağ, G.; Erkekoğlu, P.; Gumus, E.; Kocer-Gumusel, B.; et al. Bisphenol A and phthalate levels in adolescents with polycystic ovary syndrome. Gynecol. Endocrinol. 2019, 35, 1084–1087. [Google Scholar] [CrossRef] [PubMed]
- Arya, S.; Dwivedi, A.K.; Alvarado, L.; Kupesic-Plavsic, S. Exposure of U.S. population to endocrine disruptive chemicals (Parabens, Benzophenone-3, Bisphenol-A and Triclosan) and their associations with female infertility. Environ. Pollut. 2020, 265, 114763. [Google Scholar] [CrossRef]
- Pollock, T.; Arbuckle, T.E.; Guth, M.; Bouchard, M.F.; St-Amand, A. Associations among urinary triclosan and bisphenol A concentrations and serum sex steroid hormone measures in the Canadian and U.S. Populations. Environ. Int. 2021, 146, 106229. [Google Scholar] [CrossRef]
- Park, S.Y.; Jeon, J.H.; Jeong, K.; Chung, H.W.; Lee, H.; Sung, Y.-A.; Ye, S.; Ha, E.-H. The Association of Ovarian Reserve with Exposure to Bisphenol A and Phthalate in Reproductive-aged Women. J. Korean Med. Sci. 2021, 36, e1. [Google Scholar] [CrossRef]
- Milczarek-Banach, J.; Rachoń, D.; Bednarczuk, T.; Myśliwiec-Czajka, K.; Wasik, A.; Miśkiewicz, P. Exposure to Bisphenol A Analogs and the Thyroid Function and Volume in Women of Reproductive Age—Cross-Sectional Study. Front. Endocrinol. 2021, 11, 587252. [Google Scholar] [CrossRef]
- Shen, J.; Kang, Q.; Mao, Y.; Yuan, M.; Le, F.; Yang, X.; Xu, X.; Jin, F. Urinary bisphenol A concentration is correlated with poorer oocyte retrieval and embryo implantation outcomes in patients with tubal factor infertility undergoing in vitro fertilisation. Ecotoxicol. Environ. Saf. 2020, 187, 109816. [Google Scholar] [CrossRef]
- Wen, X.; Xiong, Y.; Jin, L.; Zhang, M.; Huang, L.; Mao, Y.; Zhou, C.; Qiao, Y.; Zhang, Y. Bisphenol A Exposure Enhances Endometrial Stromal Cell Invasion and Has a Positive Association with Peritoneal Endometriosis. Reprod. Sci. 2020, 27, 704–712. [Google Scholar] [CrossRef]
- Peinado, F.M.; Lendínez, I.; Sotelo, R.; Iribarne-Durán, L.M.; Fernández-Parra, J.; Vela-Soria, F.; Olea, N.; Fernández, M.F.; Freire, C.; León, J.; et al. Association of Urinary Levels of Bisphenols A, F, and S with Endometriosis Risk: Preliminary Results of the EndEA Study. Int. J. Environ. Res. Public Health 2020, 17, 1194. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Li, C.; Cao, M.; Qi, T.; Ye, X.; Ma, L.; Pan, W.; Luo, J.; Chen, P.; Liu, J.; Zhou, J. The association of bisphenol A exposure with premature ovarian insufficiency: A case–control study. Climacteric 2021, 24, 95–100. [Google Scholar] [CrossRef] [PubMed]
- Radwan, P.; Wielgomas, B.; Radwan, M.; Krasiński, R.; Klimowska, A.; Kaleta, D.; Jurewicz, J. Urinary bisphenol A concentrations and in vitro fertilization outcomes among women from a fertility clinic. Reprod. Toxicol. 2020, 96, 216–220. [Google Scholar] [CrossRef] [PubMed]
- Wang, Y.; Aimuzi, R.; Nian, M.; Zhang, Y.; Luo, K.; Zhang, J. Bisphenol A substitutes and sex hormones in children and adolescents. Chemosphere 2021, 278, 130396. [Google Scholar] [CrossRef]
- Czubacka, E.; Wielgomas, B.; Klimowska, A.; Radwan, M.; Radwan, P.; Karwacka, A.; Kałużny, P.; Jurewicz, J. Urinary Bisphenol A Concentrations and Parameters of Ovarian Reserve among Women from a Fertility Clinic. Int. J. Environ. Res. Public Health 2021, 18, 8041. [Google Scholar] [CrossRef]
- Jurewicz, J.; Majewska, J.; Berg, A.; Owczarek, K.; Zajdel, R.; Kaleta, D.; Wasik, A.; Rachoń, D. Serum bisphenol A analogues in women diagnosed with the polycystic ovary syndrome—Is there an association? Environ. Pollut. 2021, 272, 115962. [Google Scholar] [CrossRef]
- Lin, M.; Hua, R.; Ma, J.; Zhou, Y.; Li, P.; Xu, X.; Yu, Z.; Quan, S. Bisphenol A promotes autophagy in ovarian granulosa cells by inducing AMPK/mTOR/ULK1 signalling pathway. Environ. Int. 2021, 147, 106298. [Google Scholar] [CrossRef]
- Aftabsavad, S.; Noormohammadi, Z.; Moini, A.; Karimipoor, M. Effect of bisphenol A on alterations of ICAM-1 and HLA-G genes expression and DNA methylation profiles in cumulus cells of infertile women with poor response to ovarian stimulation. Sci. Rep. 2021, 11, 9595. [Google Scholar] [CrossRef]
- Yenigül, N.N.; Dilbaz, S.; Dilbaz, B.; Kaplanoğlu, I.; Güçel, F.; Aldemir, O.; Baser, E.; Ozelci, R.; Tekin, O.M. The effect of plastic bottled water consumption on outcomes of ICSI cycles undertaken for unexplained infertility. Reprod. Biomed. Online 2021, 43, 91–99. [Google Scholar] [CrossRef]
- Lazúrová, Z.; Figurová, J.; Hubková, B.; Mašlanková, J.; Lazúrová, I. Urinary bisphenol A in women with polycystic ovary syndrome—A possible suppressive effect on steroidogenesis? Horm. Mol. Biol. Clin. Investig. 2021, 42, 303–309. [Google Scholar] [CrossRef]
- March, W.A.; Moore, V.M.; Willson, K.J.; Phillips, D.I.; Norman, R.J.; Davies, M.J. The prevalence of polycystic ovary syndrome in a community sample assessed under contrasting diagnostic criteria. Hum. Reprod. 2010, 25, 544–551. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Dumesic, D.A.; Oberfield, S.E.; Stener-Victorin, E.; Marshall, J.C.; Laven, J.S.; Legro, R.S. Scientific Statement on the Diagnostic Criteria, Epidemiology, Pathophysiology, and Molecular Genetics of Polycystic Ovary Syndrome. Endocr. Rev. 2015, 36, 487–525. [Google Scholar] [CrossRef] [PubMed]
- Moran, L.J.; Norman, R.; Teede, H.J. Metabolic risk in PCOS: Phenotype and adiposity impact. Trends Endocrinol. Metab. 2015, 26, 136–143. [Google Scholar] [CrossRef]
- Trikudanathan, S. Polycystic ovarian syndrome. Med. Clin. North Am. 2015, 99, 221–235. [Google Scholar] [CrossRef]
- Diamanti-Kandarakis, E.; Christakou, C.; Marinakis, E. Phenotypes and enviromental factors: Their influence in PCOS. Curr. Pharm. Des. 2012, 18, 270–282. [Google Scholar] [CrossRef]
- Wijeyaratne, C.N.; Seneviratne, R.D.A.; Dahanayake, S.; Kumarapeli, V.; Palipane, E.; Kuruppu, N.; Yapa, C.; Balen, A.H. Phenotype and metabolic profile of South Asian women with polycystic ovary syndrome (PCOS): Results of a large database from a specialist Endocrine Clinic. Hum. Reprod. 2011, 26, 202–213. [Google Scholar] [CrossRef] [Green Version]
- Giudice, L.C. Clinical practice. Endometriosis. N. Engl. J. Med. 2010, 362, 2389–2398. [Google Scholar] [CrossRef]
- Shafrir, A.; Farland, L.; Shah, D.; Harris, H.; Kvaskoff, M.; Zondervan, K.; Missmer, S. Risk for and consequences of endometriosis: A critical epidemiologic review. Best Pract. Res. Clin. Obstet. Gynaecol. 2018, 51, 1–15. [Google Scholar] [CrossRef]
- Koninckx, P.R.; Fernandes, R.; Ussia, A.; Schindler, L.; Wattiez, A.; Al-Suwaidi, S.; Amro, B.; Al-Maamari, B.; Hakim, Z.; Tahlak, M. Pathogenesis Based Diagnosis and Treatment of Endometriosis. Front. Endocrinol. 2021, 12, 745548. [Google Scholar] [CrossRef]
- Bloom, M.S.; Kim, D.; Vom Saal, F.S.; Taylor, J.A.; Cheng, G.; Lamb, J.D.; Fujimoto, V.Y. Bisphenol A exposure reduces the estradiol response to gonadotropin stimulation during in vitro fertilization. Fertil. Steril. 2011, 96, 672–677.e2. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ehrlich, S.; Williams, P.L.; Missmer, S.A.; Flaws, J.A.; Berry, K.F.; Calafat, A.M.; Ye, X.; Petrozza, J.C.; Wright, D.; Hauser, R. Urinary bisphenol A concentrations and implantation failure among women undergoing in vitro fertilization. Environ. Health Perspect. 2012, 120, 978–983. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Baker, V.L.; Rone, H.M.; Pasta, D.J.; Nelson, H.P.; Gvakharia, M.; Adamson, G.D. Correlation of thyroid stimulating hormone (TSH) level with pregnancy outcome in women undergoing in vitro fertilization. Am. J. Obstet. Gynecol. 2006, 194, 1668–1674. [Google Scholar] [CrossRef] [PubMed]
- Zhou, W.; Liu, J.; Liao, L.; Han, S.; Liu, J. Effect of bisphenol A on steroid hormone production in rat ovarian theca-interstitial and granulosa cells. Mol. Cell. Endocrinol. 2008, 283, 12–18. [Google Scholar] [CrossRef]
- Kechagias, K.S.; Semertzidou, A.; Athanasiou, A.; Paraskevaidi, M.; Kyrgiou, M. Bisphenol-A and polycystic ovary syndrome: A review of the literature. Rev. Environ. Health 2020, 35, 323–331. [Google Scholar] [CrossRef]
- Mukhopadhyay, R.; Prabhu, N.B.; Kabekkodu, S.P.; Rai, P.S. Review on bisphenol A and the risk of polycystic ovarian syndrome: An insight from endocrine and gene expression. Environ. Sci. Pollut. Res. 2022, 29, 32631–32650. [Google Scholar] [CrossRef]
- Hugo, E.R.; Brandebourg, T.D.; Woo, J.G.; Loftus, J.; Alexander, J.W.; Ben-Jonathan, N. Bisphenol A at environmentally relevant doses inhibits adiponectin release from human adipose tissue explants and adipocytes. Environ. Health Perspect. 2008, 116, 1642–1647. [Google Scholar] [CrossRef] [Green Version]
- Song, D.K.; Hong, Y.S.; Sung, Y.-A.; Lee, H. Insulin resistance according to β-cell function in women with polycystic ovary syndrome and normal glucose tolerance. PLoS ONE 2017, 12, e0178120. [Google Scholar] [CrossRef] [PubMed]
- Takeuchi, T.; Tsutsumi, O.; Ikezuki, Y.; Kamei, Y.; Osuga, Y.; Fujiwara, T.; Takai, Y.; Momoeda, M.; Yano, T.; Taketani, Y. Elevated serum bisphenol A levels under hyperandrogenic conditions may be caused by decreased UDP-glucuronosyltransferase activity. Endocr. J. 2006, 53, 485–491. [Google Scholar] [CrossRef] [Green Version]
- Yilmaz, B.D.; Bulun, E.S. Endometriosis and nuclear receptors. Hum. Reprod. Update 2019, 25, 473–485. [Google Scholar] [CrossRef]
- Donnez, J.; Dolmans, M.M. Endometriosis and Medical Therapy: From Progestogens to Progesterone Resistance to GnRH Antagonists: A Review. J. Clin. Med. 2021, 10, 1085. [Google Scholar] [CrossRef]
- Völkel, W.; Colnot, T.; Csanády, G.A.; Filser, J.G.; Dekant, W. Metabolism and kinetics of bisphenol a in humans at low doses following oral administration. Chem. Res. Toxicol. 2002, 15, 1281–1287. [Google Scholar] [CrossRef] [PubMed]
Author, Year | Location | Study Period | Sample Size | Female Age (Mean) | Type of Study |
---|---|---|---|---|---|
Tarantino et al., 2013 [16] | Naples, Italy | November 2009–October 2011 | 60 | 27.7 ± 6.8 | Cross-sectional |
Buck Louis et al., 2013 [17] | Salt Lake City, Utah and San Francisco, California, USA (ENDO study) | 2007–2009 | 600 | 32.0± 6.8 (Operative cases) 33.6 ± 7.1 (Operative control) 33.1 ± 8.3 (Population cases) 32.1 ± 7.8 (Population control) | Matched cohort |
Caserta et al., 2013 [18] | Rome, Italy | January 2009–April 2010 | 155 | 35.3 ± 0.4 (cases) 34.8 ± 4.6 (control) | Cross-sectional |
Souter et al., 2013 [19] | Massachusetts, Boston, USA (EARTH study) | November 2004–October 2010 | 209 | 36.1 ± 4.2 | Prospective cohort |
Upson et al., 2014 [20] | Seattle, Washington, USA | April 1996–March 2001 | 430 | N/A | Cross-sectional |
Vagi et al., 2014 [21] | Los Angeles, California, USA | March 2007–May 2008 | 102 | 28.12 (cases) 31.84 (control) | Case-control |
Akin et al., 2015 [22] | Kayseri, Turkey | January 2011–August 2012 | 173 | 15.4 ± 1.2 | Cross-sectional |
Mínguez-Alarcón et al., 2015 [23] | Massachusetts, Boston, USA (EARTH study) | November 2004–April 2012 | 256 | 36.0 ± 4.3 | Prospective cohort |
Miao et al., 2015 [24] | Shanghai, China | N/A | 356 | N/A | Retrospective cohort |
Vahedi et al., 2016 [25] | Tehran, Iran | N/A | 124 | N/A | Case-control |
Simonelli et al., 2016 [26] | Naples, Italy | N/A | 128 | N/A | Case-control |
Zhou et al., 2016 [27] | Shandong, China | June 2014–October 2014 | 268 | 27 | Cross-sectional |
Rashidi et al. 2017 [28] | Tehran, Iran | N/A | 100 | 32.22 ± 5.34 (cases) 33.20 ± 5.46 (control) | Case-control |
Rashidi et al. 2017 [29] | Tehran, Iran | September 2013–September 2014 | 102 | 29.80 ± 7.02 (cases) 32.96 ± 5.58 (control) | Case-control |
Gu et al., 2018 [30] | Shandong, Zhejiang province and Shanghai, China | N/A | 123 | 30.5 (cases) 29.8 (control) | Case-control |
Konieczna et al., 2018 [31] | Gdańsk, Poland | January 2016–December 2017 | 186 | 26.9 ± 5.2 (cases) 28.2 ± 5.7 (control) | Cross-sectional |
Pednekar et al., 2019 [32] | Mumbai, India | May 2015–August 2015 | 79 | 28.4 ± 4.4 (cases) 26.8 ± 3.8 (control) | Pilot case-control |
Özel et al., 2019 [33] | Ankara, Turkey | June 2017–October 2017 | 60 | 29.6 ± 6.6 (cases) 29.5 ± 5.2 (control group) | Cross-sectional and case-control |
Avelino Moreira Fernandez et al., 2019 [34] | Minas Gerais, Brazil | N/A | 52 | 36 (cases) 34 (control) | Case-control |
Kim et al., 2019 [35] | Seoul, Korea | August 2013–July 2014 | 146 | N/A | Prospective cohort |
Akgül et al., 2019 [36] | Ankara, Turkey | March 2016–March 2018 | 95 | 15.62 ± 1.29 (cases) 16.04 ± 1.59 (control) | Case-control |
Arya et al., 2020 [37] | USA (NHANES study) | 2013–2014 and 2015–2016. | 895 | 31.8± 8.1 | Cross-sectional |
Pollock et al., 2020 [38] | USA (NHANES), Canada (CHMS) | 2013–2016 for U.S. population (NHANES) 2012–2015 for Canadian population (CHMS) | 5100 | N/A | Cross-sectional |
Park et al., 2020 [39] | Seoul, Korea | September 2014–November 2014 | 307 | 36.8 ± 4.4 | Cross-sectional |
Milczarek-Banach et al., 2020 [40] | Warsaw, Poland | October 2017–May 2019 | 180 | 24 ± 3 | Cross-sectional |
Shen et al., 2020 [41] | Zhejiang Province, China | September 2013–October 2016 | 351 | 31 ± 3 | Prospective cohort |
Wen et al. 2020 [42] | Wuhan, China | October 2017–December 2018 | 220 | N/A | Case-control |
Peinado et al. 2020 [43] | Granada, Spain | January 2018-July 2019 | 124 | 38.3 ± 9.3 (cases) 35.8 ± 10.4 (control) | Case-control |
Li et al. 2020 [44] | Hangzhou, China | January 2015–September 2018 | 345 | 34.48 ± 6.35 (cases) 33.58 ± 5.72 (control) | Case-control |
Radwan et al., 2020 [45] | Warsaw, Poland | 2017–2019 | 450 | 31.28 ± 3.52 | Cohort |
Wang et al., 2021 [46] | NHANES study | 2013–2014 and 2015–2016 | 655 | 13 | Cross-sectional |
Czubacka et al., 2021 [47] | Poland | N/A | 511 | 33.30 ± 3.69 | Cross-sectional |
Jurewicz et al., 2021 [48] | Gdańsk, Poland | January 2017–December 2017 | 357 | 26.6 ± 5.5 (cases) 31.2 ± 6.9 (control) | Case-control |
Lin et al., 2021 [49] | Guangzhou, China | September 2015–June 2016 | 106 | 30.8 ± 4.6 (control) 31.8 ± 4.1 (cases) | Case-control |
Aftabsavad et al., 2021 [50] | Tehran, Iran | N/A | 80 | 29.60 ± 3.77 (cases) 29.66 ± 4.26 (control) | Prospective case-control |
Nazlı Yenigül et al., 2021 [51] | Ankara, Turkey | April 2019–September 2019 | 82 | 29.6 ± 3.2 | Prospective cohort |
Lazúrová et al., 2021 [52] | Košice, Slovakia | N/A | 86 | 28.5 ± 5.1 | Case-control |
Author | Exposure Assessment | Outcome Measures | Confounders | Statistical Analysis | BPA (Mean ± SD) (ng/mL) | Main Findings | Limitations | Strength |
---|---|---|---|---|---|---|---|---|
Caserta et al., 2013 [18] | Serum BPA concentration | Levels of gene expression of nuclear receptors: Estrogen receptors (ERα, Erβ), androgen receptor (AR), pregnane X receptor (PXR), aryl hydrocarbon receptor (AhR). | Age, BMI | Pearson’s test | N/A | Higher BPA levels in infertile women than controls (p < 0.01). Infertile patients showed gene expression levels of ERα, ERβ, AR and PXR significantly higher than controls (p < 0.05). In infertile women, a positive association was found between BPA levels and ERα, ERβ, AR, AhR and PXR expression (p < 0.0005) | Small sample size | Ν/A |
Souter et al., 2013 [19] | Urinary BPA concentration | Ovarian reserve: Antral follicle count (AFC), day-3 FSH, and ovarian volume (OV) | Age | Multivariable linear regression | Antral follicle count: 1.6 ± 2.0 Day 3 FSH: 1.7± 2.1 Ovarian volume: 1.5 ± 1.8 | Decrease in AFC of 12%, 22%, and 17%, in the 2nd, 3rd and 4th SG–BPA quartile compared to the 1st quartile (p < 0.001) No significant associations between quartiles of BPA urinary concentrations and either day-3 FSH serum levels (p = 0.64) or OV (p = 0.8) | The method of quantification was of low sensitivity, lack of data from the prenatal period, the sites targeted by BPA and critical time periods can be multiple (not only oocytes), AMH was not measured, co-exposures to other select chemicals were not accounted for and exposure to BPA may be reflective of other unknown lifestyle factors that might affectovarian reserves. | Diverse patient population, all urine samples were collected and processed under one protocol, BPA and FSH measured by the same laboratory using the same assay. AFC was determined by infertility specialists only, all working at the same center and following the same guidelines to minimize between-operator variability. |
Mínguez-Alarcón et al. 2015 [23] | Urinary BPA concentration | Endometrial wall thickness, peak E2 levels, proportion of high-quality embryos, fertilization rates, implantation rates, clinical pregnancy rates, live birth rates | Age, BMI, race, smoking status, initial infertility diagnosis, number of embryos transferred | Multivariable generalized linear mixed models with random intercepts | 1.87 ± 1.57 | Urinary BPA concentrations were not associated with endometrial wall thickness (p = 0.63), peak E2 levels (p = 0.31), proportion of high-quality embryos (p = 0.61) or fertilization rates (p = 0.51) No associations between urinary BPA concentrations and number of embryos transfer (p = 0.09), implantation rate, clinical pregnancy or live birth rates per initiated cycle or per embryo transfer | Single-spot urine sample, difficulties in extrapolating the findings to the general population | Prospective study design, comprehensive adjustment of possible confounding variables and the adequate power (80%) of the study |
Miao et al., 2015 [24] | Creatinine adjusted urinary BPA concentration | Concentrations of serum reproductive hormones: FSH, E2, PRL, and PROG | Occupational exposure, age, passive smoking, menstrual regularity (yes/no) and study site, menstrual phases | Multiple linear regression | Cases: 2.22 Control: 0.09 | Increased urinary BPA significantly associated with higher PRL (p = 0.02) and PROG levels (p = 0.01). Positive association between urine BPA and E2 among exposed workers (p = 0.05) and a statistically significant inverse association between urine BPA and FSH among the unexposed group (p = 0.006). | No restriction of menstrual phases, single-spot urine sample in the un-exposed and twice in the exposed group, BMI not collected/included. | N/A |
Zhou et al., 2016 [27] | Creatinine adjusted urinary BPA concentration | AFC, anti-Müllerian hormone (AMH), day-3 FSH and inhibin B (INHB) | Age, BMI, and household income | Multivariable linear regression models | N/A | An inverse association between urinary BPA concentration and AFC was reported. A unit increase in BPA was associated with a significant decrease, of 0.32, in AFC (p = 0.01). BPA was also negatively associated with AMH and day-3 FSH levels but neither of them were statistically significant. BPA was not associated with INHB. | Single-spot urine samples, cannot interpret results for the general population | Largest human study to evaluate the associations between environmental exposure to BPA and ovarian reserves. |
Pednekar et al., 2019 [32] | Serum BPA concentration | BPA levels in fertile and infertile women | Age, height, weight, BMI and age at menarche | Two-sided independent samples t-test | Cases: 4.66 + 3.52 Control: 2.64 + 3.99 | The plasma BPA levels were significantly (p < 0.05) higher in infertile women compared to fertile women. | Small sample size | N/A |
Özel et al., 2019 [33] | Serum BPA concentration | Premature Ovarian Insufficiency (POI) diagnosis | Age, BMI, and tobacco smoking | Student’s t-test and by Mann–Whitney U-test | Cases: 2.85 ± 1.21 Control: 2.46 ± 1.69 | No significant difference was observed between the groups regarding serum BPA concentrations (p = 0.31) | Small study population, not representative for all women | Carefully recruited study population |
Kim et al., 2019 [35] | Urinary, plasma, follicular fluid and semen BPA concentration | Pregnancy rates, presence of good-quality embryos, the proportion of normally fertilized oocytes, number of retrieved oocytes, peak E2 level, sperm concentration and sperm motility | Age, BMI, ethnicity (Asian or Russian) and AMH | Logistic regression models, multiple linear regression models | Urine specimen: 1.16 Plasma specimen: 0.049 Follicular fluid specimen: 0.040 | Female urine SG-adjusted BPA, female plasma BPA, follicular BPA concentrations did not significantly affect the parameters, such as the number of retrieved oocytes and peak E2 level, as well as outcomes, such as pregnancy, presence of good quality embryos, or the proportion of normally fertilized oocytes | Single-sport urine measurement, substantial measurement error and attenuation of associations, many urine samples were below LOD, difference between assumption for the a priori sample size estimate and actual data analysis, possible residual confounding factors, no data collection of ongoing pregnancy or live birth | Quite large sample size, data provided meaningful information, examination of various body fluids |
Arya et al., 2020 [37] | Urinary BPA concentration | Self-reported infertility | Age, race, ethnicity, marital status, education, annual family income, BMI, waist circumference (WC), tobacco use, alcohol use and physical activity, age at first menstrual period, age at first and last birth, gravidity, parity and treatment for a pelvic infection/pelvic inflammatory disease (PID) | Variable cluster analysis, relative risk regression models | Cases: 2.94 Control: 2.84 | No association between infertility and individual BPA concentrations. A positive association between infertility and combined exposure of BPA, BP-3 and TCS was reported. | Single-spot urine measurement, self-report measure of infertility | First study reporting the association between non-persistent EDCs and self-reported infertility in women representative of U.S. population, variable cluster analysis to assess the effect of exposure to mixture of the environmental toxins affecting female fertility, comprehensive adjustment for other reproductive and lifestyle confounding factors |
Pollock et al., 2020 [38] | Creatinine-adjusted urinary BPA concentration | Serum-sex-steroid hormone concentration E2, progesterone (P4) and testosterone) | Age, BMI, household income, population group, level of education, tobacco smoke exposure and time of day at sample collection (only level of education was considered as a covariate between household income and level of education) | Multivariable regression models | N/A | BPA was associated with lower levels of E2 in adolescents aged 12 to 19 of either sex. No associations between BPA and hormones in adults was observed. | Single-spot urine samples, not measured emerging chemicals, such as bisphenol analogues | Data representative of the general population |
Park et al., 2020 [39] | Urinary BPA concentration | AMH, AFC and OV | Socioeconomic status, alcohol intake, smoking, exercise, medical history, gynecologic history, diet, environmental factors, height, weight, BMI, birth-control-pill usage. | Linear regression, logistic regression analysis | Cases: 0.189 ± 0.217 Control: 0.158 ± 0.108 | Urinary bisphenol A (BLA) level significantly higher in the DOR group with anti-Müllerian hormone lower than 25th percentile, no significant correlation between EDCs and AFCs or OV, increase in infertility in BPA level ≥ 90th-percentile group (p < 0.005). | Relatively small sample size, short half-life of BPA, exposure to a mixture of other different chemicals simultaneously, lack of stringent confirmation of medical history of volunteers | Representative of general population (volunteers, not patients) |
Milczarek-Banach et al., 2020 [40] | Serum and urine concentration of BPA and its 10 analogs | TSH, free thyroxine (fT4), thyroid-peroxidase antibody and thyroglobulin antibody concentration in serum samples, thyroid volume | Relatively high LOD, variations in the stability of phenolic compounds (BPs) in fluids | Spearman correlation test | Serum specimen: 0.133 ± 0.280 Urine specimen: 0.330 ± 0.405 | Negative correlation between thyroid volume and urine concentration of BPC (p = 0.0005), positive correlation between TSH and urine BPC concentrations (p = 0.002). Patients with detected urine BPC presented smaller thyroid glands than those with non-detected urine BPC (p = 0.0008). | Small sample size, did not consider mixtures of thyroid EDCs and their synergies | Homogenous group of female participants (age, habitat) |
Shen et al., 2020 [41] | Urinary BPA concentration | Dose of gonadotropin, number of dominant follicles, oocytes retrieved, E2 levels, endometrial thickness, implantation rates, clinical pregnancy rates, live birth rates | Age, BMI, basic FSH level, basic E2 level, and AFC | Multivariable generalized linear mixed models | N/A | No association of the urinary BPA concentration with the E2 peak level, endometrial wall thickness, number of dominant follicles, or total dose of gonadotropins, fertilization rate, cleavage rate, and quality of the embryos. Association of high urinary BPA levels and a decrease in the number of retrieved oocytes and in the rates of clinical pregnancy and implantation. | Male partners’ exposure was not considered, no measured urinary BPA concentration on the day of the first frozen ET, non-differential misclassification of exposure | Focus on women with tubal-factor infertility, prospective design |
Li et al., 2020 [44] | Urinary BPA levels | LH, FSH, AMH, POI diagnosis | Age at enrollment, age of menarche, higher education, and annual household income | Multinomial logistic regression models | Cases: 0.355 Control: 0.322 | Among BPA quartiles, no obvious association was found between BPA levels and the risk of POI (p = 0.603). LH was significantly positively associated with BPA levels (p = 0.042). FSH and AMH levels showed no tendency toward association with BPA (p = 0.941 and p = 0.876 for FSH and AMH). | Post-diagnostic assessment of exposure levels, single-spot measurement | Large sample size considering that the morbidity of POI was approximately 1%, adjustment for potential confounding factors |
Radwan et al., 2020 [45] | Urinary BPA concentration | Metaphase II (MII) oocyte yield, high-quality embryo, fertilization rate, implantation rate and clinical pregnancy | Age, BMI, smoking status, and infertility diagnosis | Multivariable generalized linear mixed analyses with random intercepts | 1.70 ± 2.28 | A significant decrease was observed between the urinary concentration of BPA and implantation (p = 0.04) and decreased MII oocyte count (p = 0.03). There was no association between other examined IVF outcomes: embryo quality, fertilization rate, and clinical pregnancy, and BPA exposure | Cannot be generalized to the general population | Same center, using the same standardized protocol. Detailed questionnaire data on demographics, medical and lifestyle risk factors allowed for control of confounding in the statistical analysis. In addition, all study participants provided at least 1 urine sample per cycle |
Wang et al., 2021 [46] | Urinary levels of BPA, BPS, BPF | E2, SHBG, TT/E2 | N/A | Multiple linear regression models | Ν/A | BPA was negatively associated with FAI and E2 while positively associated with SHBG and TT/E2 in female adolescents | Single-spot measurement, associations identified in the current study might be twisted as variations in urinary chemicals and serum sex hormones may exist in predefined sex/age groups. Furthermore, as only gonadal hormones (E2, TT) and SHBG were measured in NHANES 2013–2016, the observed association between measured sex-hormone indicators and bisphenols cannot completely depict the effects of BPA, BPF and BPS exposure on the HPG axis. No simultaneous EDC exposure considered | Nationally representative population |
Czubacka et al., 2021 [47] | Urinary BPA levels | E2, FSH, AFC, AMH | Infertility diagnosis, age, BMI, smoking | Multivariable linear regression | 1.60 ± 2.15 | A negative association between BPA urinary concentrations and AMH (p = 0.02) and AFC (p = 0.03) levels was found. Exposure to BPA was not related to other examined parameters of ovarian reserves (FSH, E2). | The study was conducted on women from an infertility clinic, which may limit the ability to generalize the results to the general population, single-sport urine measurement | One center, same standardized protocol, confounding control. BPA, FSH, AMH, E2 concentrations were each determined by the same laboratory. AFC assessed by trained gynecologists. All the studies were performed at the beginning of follicular phase, most often between 2 and 4 days of the cycle, while menstrual period occurred spontaneously. |
Lin et al., 2021 [49] | Urinary BPA levels | Oocyte retrieval rate, maturation rate and embryo implantation rate, peak E2 level | N/A | One-way ANOVA | 1.372 ± 1.869 | The oocyte retrieval rate, maturation rate and embryo implantation rate significantly decreased with the higher level of urinary BPA concentration. Peak E2 level was lower in high-BPA group, but no statistical significance could be observed. The total antral follicle count was slightly lower in high-BPA-exposure group (16.8 ± 9.0 vs. 13.7 ± 6.7) (p = 0.076) | N/A | N/A |
Aftabsavad et al., 2021 [50] | follicular fluid BPA levels | AFC, AMH, No. oocyte, No. MII, oocyte quality, total embryos, clinical pregnancy ratio, ICAM-1- and HLA-G-gene expressions | N/A | Univariate and backward multiple linear regression | Cases: 4.73 ± 2.23 Control: 1.56 ± 1.33 | CAM-1 and HLA-G genes as well as protein expressions in group 1 (POR—without use of plastic containers) were up-regulated compared to the second group (p< 0.05). DNA-methylation status in group 1 was decreased compared to the other group (p < 0.05). The concentration of BPA in the follicular fluid of group 1 was lower compared to the second group (p < 0.05). The oocyte quality and clinical pregnancy ratio were significantly higher in group 1 than in the other groups (p < 0.05). | Sample collection and limitated use of laboratory facilities due to COVID-19 | N/A |
Nazli Yenigul et al., 2021 [51] | Urinary and serum maternal fluid and follicular fluid | Embryo grade, implantation rate, clinical pregnancy, miscarriage rate and live birth rate | Diet, stress, other supplements | Spearman’s correlation analysis. | Blood specimen Cases: 22.6 ± 17.1 Control: 10.2 ± 7.7 Follicular Fluid specimen Cases: 14.4 ± 10.0 Control: 7.4 ± 6.9 Urine specimen Cases: 8.1 ± 3.9 Control: 7.0 ± 3.0 | Women who had grade-1 embryos transferred had lower BPA levels (p = 0.003). Serum and follicular-fluid BPA levels were significantly higher in women who failed to achieve clinical pregnancy. A negative correlation was found between follicular fluid and serum BPA values and E2 values on HCG day in the group who failed to achieve clinical pregnancy (p = 0.002 and p = 0.048) | Small number of study participants, single-point urine and blood BPA sample | Clearly identifiable source of BPA levels. The IVF outcomes, BPA levels in body fluids and the information on the primary source of chronic BPA exposure as plastic bottled water were analyzed together |
Author, Year | BPA Sample Assessment | Outcome Measures | Confounders | Statistical Analysis | BPA (Mean) (ng/mL) | Main Findings | Limitations | Strengths |
---|---|---|---|---|---|---|---|---|
Tarantino et al., 2013 [16] | Serum BPA concentration | Homeostasis-model assessment of insulin resistance (HoMA-IR), testosterone, sex hormone-binding globulin (SHBG), free androgen index (FAI) | Age, BMI, waist circumference | Multiple linear regression analysis | N/A | BPA higher in PCOS women than in controls (p < 0.0001). Higher BPA in PCOS women were associated with higher grades of insulin resistance (p = 0.0003), HS (p = 0.027), FAI (p = 0.025) and larger spleen size (p < 0.0001) | Ν/A | Ν/A |
Vagi et al., 2014 [21] | Creatinine-adjusted urine BPA concentration | Diagnosis of PCOS | Age, BMI, race | Multivariate logistic regression analysis | Cases: 1.6 Control: 1.9 | No association between PCOS and BPA (p > 0.05). | Small sample size, single-spot urine specimen, larger proportion of case-patients were of white race compared to controls, PCOS patients were younger and had significantly higher BMI than controls | N/A |
Akin et al., 2015 [22] | Serum BPA concentration | Diagnosis of PCOS (modified Rotterdam criteria), insulin resistance | Age, BMI | Multivariate linear regression analysis with backward elimination | Cases: 1.1 Control: 0.8 | Higher BPA in adolescents with PCOS than controls, independent of obesity (p = 0.001). BPA concentrations were also significantly correlated with androgen levels (p < 0.05) | No simultaneous EDC exposure considered | Large series of adolescent population sample with PCOS. |
Vahedi et al., 2016 [25] | Serum BPA concentration | Fasting blood sugar (FBS), triglyceride, cholesterol, HDL and LDL levels, thyroid-stimulating hormone (TSH) concentration and LH:FSH ratio (serum levels) | Age, BMI | Two independent sample t-tests | Cases: 0.48 ± 0.08 Control: 0.16 ± 0.04 | In PCOS women, BPA level was higher than in healthy women (p < 0.001). Significant differences in levels of triglycerides (p < 0.001), cholesterol (p = 0.045), TSH (p < 0.05) and LH: FSH ratio (p < 0.001) | N/A | N/A |
Rashidi et al., 2017 [29] | Urinary BPA concentration | Diagnosis of PCOS | Age, BMI, parity, menstrual irregularity, history of abortion, education | Logistic regression analysis | Cases: 1.79 ± 8 Control:0.81 ±2.92 | BPA was significantly associated with PCOS (p < 0.001) | No creatinine measurement/adjustment, single-spot BPA measurement, no sufficient data about the hormonal profile of patients | Measurement of BPA in urine specimens |
Gu et al., 2018 [30] | Urinary BPA concentration | Risk of diagnosis of PCOS | BMI | Binary logistic regression model | N/A | No significant relationships between PCOS and urinary BPA levels (p > 0.05). | Small study population | N/A |
Konieczna et al., 2018 [31] | Serum BPA concentration | Diagnosis of PCOS, serum total testosterone (TST), FAI | Age, BMI, waist circumference, serum glucose, insulin concentration and lipids | One-way analysis of variance (ANOVA) | Cases: 0.202 Control: 0.154 | Women with PCOS had significantly higher serum BPA concentrations than healthy controls (p = 0.035). In women with PCOS, serum BPA concentrations correlated positively with FAI and TST concentration (p = 0.049, p = 0.004) | Serum BPA concentrations, TST concentrations were measured using an automated electrochemiluminescence immunoassay | Both clinical and laboratory diagnosis of PCOS |
Akgul et al., 2019 [36] | Urinary BPA concentration | Ultrasonographic findings of PCOS, serum follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), prolactin (PRL), thyrotropin, fT3 and fT4, serum dehydroxyepiandrosterone sulfate, 17-hydroxyprogesterone (17OH-P), TST, SHBG, fasting insulin, insulin resistance | Obesity | Spearman’s correlation test | Cases: 15.89 ± 1.16 Control: 7.3 ± 1.38 | BPA significantly associated with PCOS (p = 0.016). In adolescents with PCOS, BPA was significantly correlated with polycystic morphology on ultrasound but not with obesity, androgen levels or other metabolic parameters | Small number of patients, single-spot urine specimen for BPA, no simultaneous EDCs exposure considered | N/A |
Lazúrová et al., 2021 [52] | Creatinine-adjusted urinary BPA concentration | Diagnosis of PCOS | Age, BMI | Linear regression analysis | Cases: 6.1 ± 0.9 Control: 1.6 ± 0.6 | PCOS women had significantly higher U-BPA as compared with the control group (p = 0.0001), high levels of U-BPA are associated with higher TST (p = 0.029) and HOMA IR (p = 0.037), lower serum estrone (p = 0.05),E2 (p = 0.0126), FSH (p = 0.0056) and FAI (p = 0.0088) | Smaller group of control subjects than PCOS women, measurement of steroid hormones by immunoassay, non-use of HPLC-MS | Large group of PCOS women, measurement of urinary concentration of BPA |
Jurewicz et al., 2021 [48] | Serum BPA, BPS, BPF levels | Serum total cholesterol (TCh), HDL-cholesterol (HDL-C), triglycerides (TG), fasting glucose, FSH, LH, TSH, PRL, E2, TST, dehydroepiandrosterone sulphate (DHEA-S), progesterone (PRG), 17OH-P, and insulin concentrations | Age, education, BMI, income, smoking, alcohol consumption | Logistic regression models | Cases: 0.46 Control: 0.33 | In women with PCOS, BPS concentrations were significantly higher compared to the control subjects (p = 0.023). Serum BPA and BPF concentrations did not differ between the studied groups. Negative correlation between serum BPA and HOMA IR (p = 0.001) and TST (p = 0.006) in women with PCOS | Single-spot serum sample, women with PCOS were significantly younger compared to the controls subjects and, therefore, may have had a lower life-time exposure to the studied EDC | N/A |
Author | Exposure Assessment | Outcome Measures | Confounders | Statistical Analysis | BPA (Mean) (ng/mL) | Main Findings | Limitations | Strength |
---|---|---|---|---|---|---|---|---|
Buck Louis et al., 2013 [17] | Creatine-adjusted urinary BPA concentration | Diagnosis of endometriosis | Age, BMI, parity conditional on gravidity (never pregnant, pregnant without births, pregnant with births) | Logistic regression analysis | Operative cohort: Cases: 1.45 Control: 1.66 Population cohort: Cases: 4.19 Control: 1.65 | No relationship between BPA and endometriosis was reported (p > 0.05). A statistically significant association emerged when adjusting for parity along with other relevant covariates in the population cohort | Collection of urine samples across women’s menstrual cycles, relatively short interval between quantification of urinary chemicals and diagnosis, inability to detect endometriosis stages 1–2 in the population cohort, exploratory nature of the analysis | Novel study design (both an operative and population cohort), measurement of BPA in urine |
Upson et al., 2014 [20] | Creatinine-adjusted urinary BPA concentration | Diagnosis of endometriosis | Age, education, alcohol consumption, smoking status and race | Unconditional logistic regression analysis | N/A | No statistically significant association between total urinary BPA concentrations and endometriosis was found overall (p > 0.05). Increased urinary BPA seems to be associated with an increased risk of non-ovarian pelvic endometriosis, but not ovarian endometriosis | Single-spot urine sample, no surgical confirmation of the absence of disease in controls | WREN study size and extensive information collected in the study, population-based sampling framework, minimal external contamination of samples and degradation of conjugated BPA during storage |
Simonelli et al., 2016 [26] | Urinary and peritoneal fluid BPA concentration | Diagnosis of endometriosis | Environmental factors, smoking, use of food plastic boxes, occupational exposure | Use of t-test for independent variables, Mann–Whitney U-test | N/A | A statistically significant association between BPA exposure and endometriosis was reported (p = 0.001). No significant correlation was found between BPA U and BPA p levels (p > 0.05) | The odds ratios relating endometriosis to occupation and environmental/lifestyle factors do not account for potential confounders | N/A |
Rashidi et al., 2017 [28] | Urinary BPA concentration | Diagnosis of endometrioma | Age, parity, BMI and educational status | Mann–Whitney U-test, logistic regression analysis | Cases: 5.53 ± 3.46 Control: 1.42 ± 1.56 | A positive association between urinary BPA concentrations and endometrioma was reported (p < 0.0001) | Non-ovarian endometriosis could not be detected in the control group, no creatinine measurement, one-time urine sample BPA detection, did not evaluate BPA exposure before disease onset compared with levels at the time of diagnosis or surgery | Measurement of BPA in urine specimens |
Moreira Fernandez et al., 2019 [34] | Urine BPA concentration | Diagnosis of endometriosis | Food habits, beverages and cigarette consumption, duration of menstrual bleeding, age at menarche, positive history of endometriosis in the family, use of oral contraceptives and hormones, BMI, measurement of creatinine | Chi-square test and Odds Ratio. | N/A | No association was observed at BPA metabolite concentration in the urine and endometriosis samples (p = 0.502) | Window between the environmental chemical exposure and disease manifestation | Adequate selection of biological fluid, analysis of the use of metabolites instead of the use of parent compounds, strict inclusion criteria |
Wen et al., 2020 [42] | Creatinine-adjusted urinary BPA concentration | MMP2 and MMP9 serum concentration | Co-exposure to other EDCs, smoking status, BMI, alcohol consumption, age, childbearing history | Unconditional logistic regression models | N/A | Creatinine-adjusted urinary BPA concentrations were positively correlated with serum MMP2, MMP9 levels, and the risk of peritoneal EMs (p = 0.030). | Single-spot urine sample, urine sample after the onset of Endometriomas (Ems), relatively small sample size for EMs, especially for peritoneal Ems. | Exclusion of Ems cases (undiagnosed Ems in the unscreened general population) in controls based on B-ultrasound |
Peinado et al., 2020 [43] | Creatinine-adjusted urinary BPA, BPS and BPF concentration | Risk for endometriosis, quantification of TBARS in urine | Age, BMI, parity, residence, educational level, occupational status, smoking habits | Multivariate logistic and linear regression analyses | Cases: 5.5 ± 1.1 Control: 3.0 ± 1.2 | BPA concentrations associated with an increased risk of endometriosis (p = 0.089). TBARS concentrations showed a close-to-significant relationship with increased endometriosis risk. The association between endometriosis risk and concentrations of BPA and Σbisphenols was only statistically significant for women in the highest TBARS tertile | Limited sample size, no simultaneous EDCs exposure considered, collection of urine samples across women’s menstrual cycles. | Visual and histologic confirmation of the presence of endometriosis in cases and its absence in controls, first evaluation of exposure to BPA analogues BPS and BPF, novel evidence of a mediating role for lipid peroxidation |
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Stavridis, K.; Triantafyllidou, O.; Pisimisi, M.; Vlahos, N. Bisphenol-A and Female Fertility: An Update of Existing Epidemiological Studies. J. Clin. Med. 2022, 11, 7227. https://doi.org/10.3390/jcm11237227
Stavridis K, Triantafyllidou O, Pisimisi M, Vlahos N. Bisphenol-A and Female Fertility: An Update of Existing Epidemiological Studies. Journal of Clinical Medicine. 2022; 11(23):7227. https://doi.org/10.3390/jcm11237227
Chicago/Turabian StyleStavridis, Konstantinos, Olga Triantafyllidou, Maria Pisimisi, and Nikolaos Vlahos. 2022. "Bisphenol-A and Female Fertility: An Update of Existing Epidemiological Studies" Journal of Clinical Medicine 11, no. 23: 7227. https://doi.org/10.3390/jcm11237227
APA StyleStavridis, K., Triantafyllidou, O., Pisimisi, M., & Vlahos, N. (2022). Bisphenol-A and Female Fertility: An Update of Existing Epidemiological Studies. Journal of Clinical Medicine, 11(23), 7227. https://doi.org/10.3390/jcm11237227