The Effect of Bisphenol A on the IVF Outcomes Depending on the Polymorphism of the Detoxification System Genes
Abstract
:1. Introduction
2. Methods
2.1. Ethical Approval
2.2. Patient Selection
2.3. Controlled Hyper-Stimulation Induction and Embryo Transfer
2.4. Data Collection
2.5. HPLC-MS Methods
2.6. Measurement of Detoxification Gene Polymorphism
2.7. Outcome Measures
2.8. Statistical Analysis
3. Results
3.1. Characteristics of the Study Population
3.2. Measurement of BPA in the Blood and Follicular Fluid
3.3. Relationship between BPA, Main Patient’s Characteristics and Detoxification Gene Polymorphism
3.4. Impact of BPA and Detoxification Gene Polymorphism on the IVF Outcomes
4. Discussion
4.1. Body Fluid Concentration of BPA
4.2. Factors Affecting BPA Levels
4.3. IVF Outcomes
4.4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Median (Interquartile Range) | |
---|---|
Age, years | 31 (29–34) |
BMI, kg/m2 | 21.6 (20.4–23.5) |
FSH, IU/mL | 6.8 (5.1–8.2) |
AMH, ng/mL | 3.2 (1.9–5.8) |
Antral follicle count (AFC) | 12 (8–18) |
Days of stimulation | 9 (8–10) |
Σ dose of gonadotropins | 1200 (975–1500) |
Oocytes retrieved | 9 (5–13) |
MII oocytes | 7 (4–10) |
Fertilization rate, % | 100 (87–100) |
Number of blastocysts | 3 (1–4) |
Blastocyst formation rate, % | 46 (22–63) |
BPA in Blood, ng/mL | Presence of BPA in FF, n (%) | BPA in FF, ng/mL | ||||
---|---|---|---|---|---|---|
ME (IQR) | p-Level * | ME (IQR) | p-Level ** | ME (IQR) | p-Level * | |
Age (years) | 0.8810 | 0.2151 | 0.7943 | |||
<30 | 0.52 (0.26–0.69) | 12/91 (13.2%) | 0.40 (0.20–0.60) | |||
30–35 | 0.52 (0.18–0.62) | 29/139 (20.9%) | 0.20 (0.20–0.70) | |||
≥35 | 0.52 (0.18–0.71) | 8/61 (13.1%) | 0.20 (0.15–0.85) | |||
BMI (kg/m2) | 0.0411 | 0.0122 | 0.8798 | |||
<25 | 0.53 (0.22–0.68) | 37/253 (14.6%) | 0.20 (0.20–0.70) | |||
≥25 | 0.38 (0.16–0.59) | 12/38 (31.6%) | 0.35 (0.15–0.80) | |||
Smoking | 0.6043 | 0.1445 | 0.5520 | |||
Yes | 0.48 (0.18–0.69) | 6/22 (27.3%) | 0.30 (0.10–0.50) | |||
No | 0.52 (0.20–0.66) | 43/269 (16.0%) | 0.30 (0.20–0.70) | |||
AMH, ng/mL | 0.5336 | 0.4420 | 0.4016 | |||
≥1.2 | 0.52 (0.19–0.66) | 43/250 (17.2%) | 0.20 (0.10–0.70) | |||
<1.2 | 0.55 (0.33–0.71) | 6/41 (14.6%) | 0.40 (0.20–1.10) | |||
SOD2 (rs4880) | 0.9355 | 0.0821 | 0.9031 | |||
C allele + | 0.52 (0.20–0.65) | 41/218 (18.8%) | 0.30 (0.20–0.70) | |||
C allele − | 0.52 (0.19–0.68) | 8/73 (11.0%) | 0.20 (0.20–0.70) | |||
GSTP1 (rs1695) | 0.0769 | 0.5121 | 0.1997 | |||
G allele + | 0.51 (0.17–0.63) | 26/152 (17.1%) | 0.40 (0.20–0.80) | |||
G allele − | 0.54 (0.25–0.72) | 23/139 (16.5%) | 0.20 (0.10–0.60) | |||
GSTP1 (rs1138272) | 0.0745 | 0.6050 | 1.0 | |||
C allele + | 0.52 (0.20–0.66) | 48/286 (16.8%) | 0.25 (0.20–0.70) | |||
C allele − | 0.18 (0–0.28) | 1/5 (20.0%) | 0.30 (0.30–0.30) | |||
CYP1A1 (rs1799814) | 0.4865 | 0.0588 | 1.0 | |||
A allele + | 0.52 (0.14–0.62) | 0/15 (0%) | - | |||
A allele − | 0.52 (0.21–0.66) | 49/276 (17.8%) | 0.30 (0.20–0.70) | |||
SULT1A1 (rs9282861) | 0.3354 | 0.0341 | 0.9044 | |||
A allele + | 0.52 (0.18–0.65) | 25/185 (13.5%) | 0.30 (0.20–0.60) | |||
A allele − | 0.53 (0.25–0.68) | 24/106 (22.6%) | 0.25 (0.15–0.85) |
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Syrkasheva, A.; Frankevich, V.; Kindysheva, S.; Starodubtseva, N.; Donnikov, A.; Dolgushina, N. The Effect of Bisphenol A on the IVF Outcomes Depending on the Polymorphism of the Detoxification System Genes. J. Pers. Med. 2021, 11, 1091. https://doi.org/10.3390/jpm11111091
Syrkasheva A, Frankevich V, Kindysheva S, Starodubtseva N, Donnikov A, Dolgushina N. The Effect of Bisphenol A on the IVF Outcomes Depending on the Polymorphism of the Detoxification System Genes. Journal of Personalized Medicine. 2021; 11(11):1091. https://doi.org/10.3390/jpm11111091
Chicago/Turabian StyleSyrkasheva, Anastasiya, Vladimir Frankevich, Svetlana Kindysheva, Nataliia Starodubtseva, Andrey Donnikov, and Nataliya Dolgushina. 2021. "The Effect of Bisphenol A on the IVF Outcomes Depending on the Polymorphism of the Detoxification System Genes" Journal of Personalized Medicine 11, no. 11: 1091. https://doi.org/10.3390/jpm11111091