P–657 Prostaglandin D2 is correlated with follicles development and a reliable marker of ovarian reserve of poor ovarian responder patients

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
K H Choi ◽  
Y J Kim ◽  
K Y Kang ◽  
E A Park ◽  
Y S Kim ◽  
...  

Abstract Study question Is the prostaglandin D2 (PGD2) associated with growing follicles and ovarian reserve of poor ovarian responders? Summary answer PGD2 is correlated with ovarian stimulation activity and follicle growth. Especially, poor ovarian responders show a significant decrease in the level of follicular fluid. What is known already Prostaglandins (PGs) are involved in the female reproductive process, mainly ovulation, fertilization, and implantation. Study design, size, duration We investigated the PGD2 level in the follicular fluid of poor ovarian responders. The collection of human follicular fluid was approved by the Institutional Research and Ethical Committees of CHA University (approval number: 1044308–201611-BR–027–04) from January to December 2019. Follicular fluid was collected from patients with normal ovarian response and patients with POR. Participants/materials, setting, methods We studied whether prostaglandin has related to POR in the clinical key factor by measuring human follicular fluid. Follicular fluid was collected from patients with normal ovarian response and patients with POR. The concentration of PGD2 in follicular fluid was determined with ELISA kits following the manufacturer’s protocol. Main results and the role of chance We analyzed the level of PGD2 in the follicular fluid of patients with normal ovarian response and patients with POR using an ELISA. The PGD2 concentration was significantly lower in the follicular fluid of patients with POR than in the follicular fluid of young and old patients with normal ovarian response. Limitations, reasons for caution This study has an identification of biomarker of the clinical samples as POR criteria patients. Therefore, further investigations aimed at specific recovery of low PGD2 metabolic activity in the CCs during control ovarian stimulation. Wider implications of the findings: Until now there is no specific biomarker of POR. AMH is just an ovary reserve marker for an indication of ovary function. PGD2 is one of the metabolites in steroid metabolism in the ovary. Therefore, we can find some cure through further study for improved PGD2 production to POR patients. Trial registration number none

2020 ◽  
Vol 35 (9) ◽  
pp. 1964-1971 ◽  
Author(s):  
N P Polyzos ◽  
B Popovic-Todorovic

ABSTRACT Over the last 25 years, a vast body of literature has been published evaluating different treatment modalities for the management of poor ovarian responders. Despite the evidence that maximizing ovarian response can improve the chances of live born babies in poor responders, there are still voices suggesting that all poor responders are the same, irrespective of their age and their actual ovarian reserve. This has resulted in the suggestion of adopting a mild ovarian stimulation approach for all poor responders, based on the results of several trials which failed to identity differences when comparing mild and more intense stimulation in predicted poor responders. The current article analyzes in detail these studies and discusses the shortcomings in terms of type of population included, outcomes and settings performed, which may actually be responsible for the belief that only mild stimulation should be used. In the era of individualization in medicine, it must be realized that there are subgroups of predicted poor responders who will benefit from an individual rather than ‘one fits all’ mild stimulation approach and thus we should provide the same standard of treatment for all our poor responder patients.


2017 ◽  
Vol 35 (2) ◽  
pp. 139-144 ◽  
Author(s):  
Alberta Maria Fabris ◽  
Maria Cruz ◽  
Carlos Iglesias ◽  
Alberto Pacheco ◽  
Azadeh Patel ◽  
...  

2021 ◽  
Author(s):  
Nikolaos P Polyzos ◽  
A R Neves ◽  
P Drakopoulos ◽  
C Spits ◽  
B Alvaro Mercadal ◽  
...  

Abstract STUDY QUESTION Does the presence of single nucleotide polymorphisms (SNPs) in the FSH receptor gene (FSHR) and/or FSH beta subunit-encoding gene (FSHB) influence ovarian response in predicted normal responders treated with rFSH? SUMMARY ANSWER The presence of FSHR SNPs (rs6165, rs6166, rs1394205) has a statistically significant impact in ovarian response, although this effect is of minimal clinical relevance in predicted normal responders treated with a fixed dose of 150 IU rFSH. WHAT IS KNOWN ALREADY Ovarian reserve markers have been a breakthrough in response prediction following ovarian stimulation. However, a significant percentage of patients show a disproportionate lower ovarian response, as compared with their actual ovarian reserve. Studies on pharmacogenetics have demonstrated a relationship between FSHR or FSHB genotyping and drug response, suggesting a potential effect of individual genetic variability on ovarian stimulation. However, evidence from these studies is inconsistent, due to the inclusion of patients with variable ovarian reserve, use of different starting gonadotropin doses, and allowance for dose adjustments during treatment. This highlights the necessity of a well-controlled prospective study in a homogenous population treated with the same fixed protocol. STUDY DESIGN, SIZE, DURATION We conducted a multicenter multinational prospective study, including 368 patients from Vietnam, Belgium, and Spain (168 from Europe and 200 from Asia), from November 2016 until June 2019. All patients underwent ovarian stimulation followed by oocyte retrieval in an antagonist protocol with a fixed daily dose of 150 IU rFSH until triggering. Blood sampling and DNA extraction was performed prior to oocyte retrieval, followed by genotyping of four SNPs from FSHR (rs6165, rs6166, rs1394205) and FSHB (rs10835638). PARTICIPANTS/MATERIALS, SETTING, METHODS Eligible were predicted normal responder women <38 years old undergoing their first or second ovarian stimulation cycle. Laboratory staff and clinicians were blinded to the clinical results and genotyping, respectively. The prevalence of hypo-responders, the number of oocytes retrieved, the follicular output rate (FORT), and the follicle to oocyte index (FOI) were compared between different FSHR and FSHB SNPs genotypes. MAIN RESULTS AND THE ROLE OF CHANCE The prevalence of derived allele homozygous SNPs in the FSHR was rs6166 (genotype G/G) 15.8%, rs6165 (genotype G/G) 34.8%, and rs1394205 (genotype A/A) 14.1%, with significant differences between Caucasian and Asian women (P < 0.001). FSHB variant rs10835638 (c.-211 G>T) was very rare (0.5%). Genetic model analysis revealed that the presence of the G allele in FSHR variant rs6166 resulted in less oocytes retrieved when compared to the AA genotype (13.54 ± 0.46 vs 14.81 ± 0.61, estimated mean difference (EMD) −1.47 (95% CI −2.82 to −0.11)). In FSHR variant rs1394205, a significantly lower number of oocytes was retrieved in patients with an A allele when compared to G/G (13.33 ± 0.41 vs 15.06 ± 0.68, EMD −1.69 (95% CI −3.06 to −0.31)). A significantly higher prevalence of hypo-responders was found in patients with the genotype A/G for FSHR variant rs6166 (55.9%, n = 57) when compared to A/A (28.4%, n = 29), ORadj 1.87 (95% CI 1.08–3.24). No significant differences were found regarding the FORT across the genotypes for FSHR variants rs6166, rs6165, or rs1394205. Regarding the FOI, the presence of the G allele for FSHR variant rs6166 resulted in a lower FOI when compared to the A/A genotype, EMD −13.47 (95% CI −22.69 to −4.24). Regarding FSHR variant rs6165, a lower FOI was reported for genotype A/G (79.75 ± 3.35) when compared to genotype A/A (92.08 ± 6.23), EMD −13.81 (95% CI −25.41 to −2.21). LIMITATIONS, REASONS FOR CAUTION The study was performed in relatively young women with normal ovarian reserve to eliminate biases related to age-related fertility decline; thus, caution is needed when extrapolating results to older populations. In addition, no analysis was performed for FSHB variant rs10835638 due to the very low prevalence of the genotype T/T (n = 2). WIDER IMPLICATIONS OF THE FINDINGS Based on our results, genotyping FSHR SNPs rs6165, rs6166, rs1394205, and FSHB SNP rs10835638 prior to initiating an ovarian stimulation with rFSH in predicted normal responders should not be recommended, taking into account the minimal clinical impact of such information in this population. Future research may focus on other populations and other genes related to folliculogenesis or steroidogenesis. STUDY FUNDING/COMPETING INTEREST(S) This study was supported by an unrestricted grant by Merck Sharp & Dohme (MSD). N.P.P. reports grants and/or personal fees from MSD, Merck Serono, Roche Diagnostics, Ferring International, Besins Healthcare, Gedeon Richter, Theramex, and Institut Biochimique SA (IBSA). N.L.V. and M.T.H. report consultancy and conference fees from Merck, Ferring, and MSD, outside the submitted work. P.D. has received honoraria for lecturing and/or research grants from MSD, Ferring International, and Merck. D.S. reports grants and/or personal fees from MSD, Ferring International, Merck Serono, Cook, and Gedeon Richter. A.R.N., B.A.M., C.S., J.M., L.H.L., P.Q.M.M., H.T., and S.G. report no conflict of interests. TRIAL REGISTRATION NUMBER NCT03007043


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
A M Fabrega. Reolid ◽  
M Horta. Foronda ◽  
B Lled. Bosch ◽  
J A Orti. Salcedo ◽  
B Moline. Renau ◽  
...  

Abstract Study question Are serum cytokines levels associated with ovarian response in IVF cycles? Summary answer The IL–6/IL–10 ratio is higher in patients with low ovarian response. What is known already Previous studies reported differences in the levels of IL–2, Il–6, IL–8, IL–10 and VEGF in follicular fluid between young patients with low ovarian response and normoresponder women. In addition, it is known that IL–6 plays an important role as a mediator of fever and acute phase reaction and IL–10 is the cytokine with the greatest anti-inflammatory power. Although there seems to be some evidence about the possible effect of the immune system on ovarian function and implantation, the role it plays in ART remains unknown. Our aim was to investigate the effect of cytokines in ovarian reserve and response. Study design, size, duration One hundred and fifty-two patients were included in a retrospective study between February 2016 and December 2020. Serum cytokines IL–2, IL–4, IL- 6, IL–8, IL–10, VEGF, IFN↖, TNF α, IL–1 α, IL–1 β, MCP–1 and EGF were measured previously to the ovarian stimulation cycle. Patients with altered karyotype, mutation or premutation in the FMR1 gene or endometriosis or with any other factor that could alter the ovarian reserve or response were excluded from the study. Participants/materials, setting, methods To measure the levels of the different cytokines, a sandwich immunoassay with specific antibodies for the cytokines IL–2, IL–4, IL–6, IL–8, IL–10, VEGF, IFN↖, TNF α, IL -1 α, IL–1 β, MCP–1 and EGF were used. The statistical analysis was performed with R Statistical Software, version 4.0.3 and the Software Statistical Product and Service Solutions, version 20.0 (SPSS, Chicago, IL, EE.UU.). Main results and the role of chance We found that the ratio between IL–6 and IL–10 cytokines is higher in those patients in whom four or fewer oocytes have been recovered after ovarian puncture (2.15 versus 1.55; p = 0.035; Mann-Whitney test). If we establish 0.9 as a cut-off point for the IL–6 / IL–10 ratio, we observed that above this value the risk of having a low response to ovarian stimulation is more than 3 times greater than below this value (22.9% versus 6.0%; p = 0.007; Fischer exact test). There were no statistically significant differences between both groups in terms of age (p = 0.136), dose of gonadotropin administered (p = 0.415) and duration of ovarian stimulation (p = 0.706). In addition, performing hierarchical cluster analysis with the analyzed cytokines and the associated variables to ovarian reserve and response, we observed that the antral follicle count, the total oocytes recovered and the MII recovered are grouped in the same cluster as the cytokines IL–2, IL–4, IL–6, IL–10, IL–1α, IL–1B, IFNγ y TNFα. We determined the number of clusters based on the tree diagram and k-means method. Limitations, reasons for caution The retrospective study design and the sample size could be a limitation. The study was performed in patients with suspected implantation failure. Wider implications of the findings: The ratio between IL–6 and IL–10 could be used as a potential biomarker to predict the ovarian response and provide real expectations regarding the success of IVF cycle. The action of IL–6 could be reduced by blocking its receptor using humanized monoclonal antibodies as Tocilizumab. Trial registration number Not applicable


PROTEOMICS ◽  
2017 ◽  
Vol 17 (6) ◽  
pp. 1600333 ◽  
Author(s):  
Jae Won Oh ◽  
Seul Ki Kim ◽  
Kyung-Cho Cho ◽  
Min-Sik Kim ◽  
Chang Suk Suh ◽  
...  

Reproduction ◽  
2017 ◽  
Vol 154 (4) ◽  
pp. 483-496 ◽  
Author(s):  
Kaiyue Zhang ◽  
Wanxia Zhong ◽  
Wei-Ping Li ◽  
Zi-Jiang Chen ◽  
Cong Zhang

Poor ovarian response is a significant problem encountered during in vitro fertilization and embryo transfer procedures. Many infertile women may suffer from poor ovarian response and its incidence tends to be increasing in young patients nowadays. It is a major cause of maternal infertility because it is associated with low pregnancy and live birth rates. However, the cause of poor ovarian response is not clear. In this study, we extracted microRNAs from human follicular fluid and performed miRNA sequencing to investigate a potential posttranscriptional mechanism underlying poor ovarian response. The results showed that many miRNAs were obviously different between the poor ovarian response and non-poor ovarian response groups. We then performed quantitative polymerase chain reaction, Western blot analysis and used an in vitro culture system to verify the sequencing results and to study the mechanism. Notably, we found that miRNA-15a-5p was significantly elevated in the young poor ovarian response group. Furthermore, we demonstrated that high levels of miR-15a-5p in the young poor ovarian response group repressed granulosa cell proliferation by regulating the PI3K-AKT-mTOR signaling pathway and promoted apoptosis through BCL2 and BAD. This could explain the reduced oocyte retrieval number seen in poor ovarian response patients.


PROTEOMICS ◽  
2017 ◽  
Vol 17 (6) ◽  
pp. 1770046 ◽  
Author(s):  
Jae Won Oh ◽  
Seul Ki Kim ◽  
Kyung-Cho Cho ◽  
Min-Sik Kim ◽  
Chang Suk Suh ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document