The ReceptIVFity cohort study protocol to validate the urogenital microbiome as predictor for IVF or IVF/ICSI outcome

被引:26
|
作者
Koedooder, Rivka [1 ]
Singer, Martin [2 ]
Schoenmakers, Sam [3 ]
Savelkoul, Paul Hendrik Maria [2 ,4 ]
Morre, Servaas Antonie [2 ,5 ]
de Jonge, Jonathan Dennis [6 ]
Poort, Linda [7 ]
Cuypers, Willem-Jan Simon Stephanus [8 ]
Budding, Andries Edward [2 ,7 ]
Laven, Joop Stephanus Elisabeth [1 ]
机构
[1] Erasmus Univ, Med Ctr, Dept Obstet & Gynaecol, Div Reprod Endocrinol & Infertil, Wytemaweg 80, NL-3015 CN Rotterdam, Netherlands
[2] Vrije Univ Amsterdam, Med Ctr, Dept Med Microbiol & Infect Control, Lab Immunogenet, Boelelaan 1108, NL-1081 HZ Amsterdam, Netherlands
[3] Erasmus Univ, Med Ctr, Dept Obstet & Gynaecol, Div Obstet, Wytemaweg 80, NL-3015 CN Rotterdam, Netherlands
[4] Maastricht Univ, Med Ctr, Sch Nutr & Translat Res Metab NUTRIM, Dept Med Microbiol, P Debyelaan 25, NL-6229 HX Maastricht, Netherlands
[5] Maastricht Univ, Fac Hlth Med & Life Sci, Res Inst GROW, Inst Publ Hlth Genom,Dept Genet & Cell Biol, Maastricht, Netherlands
[6] ARTPred BV, Kruisweg 647, NL-2131 NC Hoofddorp, Netherlands
[7] Vrije Univ Amsterdam, Med Ctr, IS Diagnost Ltd, Spin Off,Dept Med Microbiol & Infect Control, Boelelaan 1108, NL-1081 HZ Amsterdam, Netherlands
[8] MVZ VivaNeo Kinderwunschzentrum Dusseldorf GmbH, Dutch Div, Volklinger Str 4, D-40219 Dusseldorf, Germany
来源
REPRODUCTIVE HEALTH | 2018年 / 15卷
关键词
Microbiota; Vaginal; Urinary; Implantation; Prediction; ENDOMETRIAL MICROBIOTA; WOMEN; PREGNANCIES; INFERTILITY; EMBRYOS; TRACT;
D O I
10.1186/s12978-018-0653-x
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundDuring the last decade, research has shown that besides the known predictive factors, such as duration of subfertility, a women's age, the body mass index, also the microbiome might affect fertility. Micro-organisms together with their genetic information and the milieu in which they interact are called the microbiome. Studies have shown that the presence of certain microbiota during assisted reproductive technology (ART) has a positive impact on the outcome. However, the potential role of using the microbiome as a predictor for outcome of ART has not yet been investigated.MethodsIn a prospective study, 300 women of reproductive age and with an indication for in-vitro Fertilization (IVF) with or without Intra Cytoplasmic Sperm Injection (ICSI) treatment will be included. Prior to the IVF or IVF-ICSI treatment, these women provided a midstream urine sample and a vaginal swab. The composition of the urinary and vaginal microbiome will be analysed with both Next Generation Sequencing and the IS-pro technique. The endpoints of the study are pregnancy achieved after fresh embryo transfer (ET) and within the subsequent year after inclusion. External validation of the findings will take place in an additional cohort of 50 women with an IVF or IVF-ICSI indication.DiscussionIn the proposed study, the predictive accuracy of the composition of the urinary and vaginal microbiome for IVF or IVF-ICSI outcome will be only validated for fresh ET. Follow-up has to show whether the predictive accuracy will be similar during the consecutive frozen ET's as part of the IVF or IVF-ICSI treatment or for subsequent stimulated or natural cycles. In addition, external validation will take place in another cohort and hospital. Predictive knowledge of the microbiome profile may enable couples to make a more substantiated decision on whether to continue treatment or not. Hence, the unnecessary physical and emotional burden of a failed IVF or IVF-ICSI treatment can be avoided.Trial registrationISRCTN ISRCTN83157250. Registered 17 August 2018. Retrospectively registered.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] The ReceptIVFity cohort study protocol to validate the urogenital microbiome as predictor for IVF or IVF/ICSI outcome
    Rivka Koedooder
    Martin Singer
    Sam Schoenmakers
    Paul Hendrik Maria Savelkoul
    Servaas Antonie Morré
    Jonathan Dennis de Jonge
    Linda Poort
    Willem-Jan Simon Stephanus Cuypers
    Andries Edward Budding
    Joop Stephanus Elisabeth Laven
    Reproductive Health, 15
  • [2] Dynamics of the urinary microbiome in pregnancy and the coincidental predictive value of the microbiota for IVF/IVF-ICSI outcome
    Koedooder, Rivka
    Maghdid, Delshad M.
    Beckers, Nicole G. M.
    Schoenmakers, Sam
    Kok, Dik J.
    Laven, Joop S. E.
    REPRODUCTIVE BIOMEDICINE ONLINE, 2021, 43 (05) : 871 - 879
  • [3] Fertility outcomes of IVF/ICSI after Caesarean section: a cohort study
    Wang, Lan
    Yao, Wen
    Tang, Xianan
    Yao, Haixia
    Wei, Sheng
    Huang, Jiao
    Mol, Ben Willem J.
    Jin, Lei
    Yue, Jing
    Wang, Rui
    REPRODUCTIVE BIOMEDICINE ONLINE, 2020, 40 (05) : 719 - 728
  • [4] Associations of sleep characteristics with outcomes of IVF/ICSI treatment: a prospective cohort study
    Qing-Yun Yao
    Xiao-Qiong Yuan
    Liu, Chong
    Yao-Yao Du
    Yang-Cheng Yao
    Lin-Jing Wu
    Hua-Hua Jiang
    Tao-Ran Deng
    Guo, Na
    Yan-Ling Deng
    Zeng, Qiang
    Yu-Feng Li
    HUMAN REPRODUCTION, 2022, 37 (06) : 1297 - 1310
  • [5] Association of serum autoantibodies with pregnancy outcome of patients undergoing first IVF/ICSI treatment: A prospective cohort study
    Chen, Xian
    Mo, Mei-Lan
    Huang, Chun -Yu
    Diao, Liang-Hui
    Li, Guan-Gui
    Li, Yu -Ye
    Lerner, Aaron
    Shoenfeld, Yehuda
    Zeng, Yong
    JOURNAL OF REPRODUCTIVE IMMUNOLOGY, 2017, 122 : 14 - 20
  • [6] Follitropin Alpha versus Follitropin Beta in IVF/ ICSI Cycle: A Retrospective Cohort Study
    Cao, Jing-Xian
    Song, Jing-Yan
    DRUG DESIGN DEVELOPMENT AND THERAPY, 2024, 18 : 4359 - 4369
  • [7] Impact of sleep characteristics on IVF/ICSI outcomes: A prospective cohort study
    Bariya, Shrijan
    Tao, Yun
    Zhang, Ruiqing
    Zhang, Ming
    SLEEP MEDICINE, 2025, 126 : 122 - 135
  • [8] IVF/ICSI Outcomes After a Freeze-All Strategy: an Observational Cohort Study
    Bourdon, Mathilde
    Alwohaibi, Asim
    Maignien, Chloe
    Marcellin, Louis
    Chargui, Ahmed
    Cheriet, Khaled Pocate
    Patrat, Catherine
    Chapron, Charles
    Santulli, Pietro
    REPRODUCTIVE SCIENCES, 2023, 30 (07) : 2283 - 2291
  • [9] Perinatal Outcome of Twin Pregnancies After IVF/ICSI
    Han, W. -W.
    Kuehne, S. M.
    Seufert, R.
    Tong, X. -W.
    Fischl, F.
    Koelbl, H.
    GEBURTSHILFE UND FRAUENHEILKUNDE, 2009, 69 (02) : 131 - 133
  • [10] What is the best predictor of severe ovarian hyperstimulation syndrome in IVF? A cohort study
    Tarlatzi, Theoni B.
    Venetis, Christos A.
    Devreker, Fabienne
    Englert, Yvon
    Delbaere, Anne
    JOURNAL OF ASSISTED REPRODUCTION AND GENETICS, 2017, 34 (10) : 1341 - 1351