microRNA-based signatures obtained from endometrial fluid identify implantative endometrium

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microRNA-based signatures obtained from endometrial fluid identify implantative endometrium. / Ibañez-Perez, Jone; Díaz-Nuñez, María; Clos-García, Marc; Lainz, Lucía; Iglesias, María; Díez-Zapirain, Miren; Rabanal, Aintzane; Bárcena, Laura; González, Monika; Lozano, Juan J.; Marigorta, Urko M.; González, Esperanza; Royo, Félix; Aransay, Ana M.; Subiran, Nerea; Matorras, Roberto; Falcón-Pérez, Juan Manuel.

In: Human Reproduction, Vol. 37, No. 10, 2022, p. 2375-2391.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Ibañez-Perez, J, Díaz-Nuñez, M, Clos-García, M, Lainz, L, Iglesias, M, Díez-Zapirain, M, Rabanal, A, Bárcena, L, González, M, Lozano, JJ, Marigorta, UM, González, E, Royo, F, Aransay, AM, Subiran, N, Matorras, R & Falcón-Pérez, JM 2022, 'microRNA-based signatures obtained from endometrial fluid identify implantative endometrium', Human Reproduction, vol. 37, no. 10, pp. 2375-2391. https://doi.org/10.1093/humrep/deac184

APA

Ibañez-Perez, J., Díaz-Nuñez, M., Clos-García, M., Lainz, L., Iglesias, M., Díez-Zapirain, M., Rabanal, A., Bárcena, L., González, M., Lozano, J. J., Marigorta, U. M., González, E., Royo, F., Aransay, A. M., Subiran, N., Matorras, R., & Falcón-Pérez, J. M. (2022). microRNA-based signatures obtained from endometrial fluid identify implantative endometrium. Human Reproduction, 37(10), 2375-2391. https://doi.org/10.1093/humrep/deac184

Vancouver

Ibañez-Perez J, Díaz-Nuñez M, Clos-García M, Lainz L, Iglesias M, Díez-Zapirain M et al. microRNA-based signatures obtained from endometrial fluid identify implantative endometrium. Human Reproduction. 2022;37(10):2375-2391. https://doi.org/10.1093/humrep/deac184

Author

Ibañez-Perez, Jone ; Díaz-Nuñez, María ; Clos-García, Marc ; Lainz, Lucía ; Iglesias, María ; Díez-Zapirain, Miren ; Rabanal, Aintzane ; Bárcena, Laura ; González, Monika ; Lozano, Juan J. ; Marigorta, Urko M. ; González, Esperanza ; Royo, Félix ; Aransay, Ana M. ; Subiran, Nerea ; Matorras, Roberto ; Falcón-Pérez, Juan Manuel. / microRNA-based signatures obtained from endometrial fluid identify implantative endometrium. In: Human Reproduction. 2022 ; Vol. 37, No. 10. pp. 2375-2391.

Bibtex

@article{1c83e07d4421409fafe1774684f1e122,
title = "microRNA-based signatures obtained from endometrial fluid identify implantative endometrium",
abstract = "STUDY QUESTION: Is it possible to use free and extracellular vesicle-associated microRNAs (miRNAs) from human endometrial fluid (EF) samples as non-invasive biomarkers for implantative endometrium? SUMMARY ANSWER: The free and extracellular vesicle-associated miRNAs can be used to detect implantative endometrium in a noninvasive manner. WHAT IS KNOWN ALREADY: miRNAs and extracellular vesicles (EVs) from EF have been described as mediators of the embryo–en-dometrium crosstalk. Therefore, the analysis of miRNA from this fluid could become a non-invasive technique for recognizing implantative endometrium. This analysis could potentially help improve the implantation rates in ART. STUDY DESIGN, SIZE, DURATION: In this prospective study, we first optimized different protocols for EVs and miRNA analyses using the EF of a setup cohort (n = 72). Then, we examined differentially expressed miRNAs in the EF of women with successful embryo implantation (discovery cohort n = 15/validation cohort n = 30) in comparison with those for whom the implantation had failed (discovery cohort n = 15/validation cohort n = 30). Successful embryo implantation was considered when pregnancy was confirmed by vaginal ultrasound showing a gestational sac 4 weeks after embryo transfer (ET). PARTICIPANTS/MATERIALS, SETTING, METHODS: The EF of the setup cohort was obtained before starting fertility treatment during the natural cycle, 16–21 days after the beginning of menstruation. For the discovery and validation cohorts, the EF was collected from women undergoing frozen ET on Day 5, and the samples were collected immediately before ET. In this study, we compared five different methods; two of them based on direct extraction of RNA and the other three with an EV enrichment step before the RNA extraction. Small RNA sequencing was performed to determine the most efficient method and find a predictive model differentiating between implantative and non-implantative endometrium. The models were confirmed using quantitative PCR in two sets of samples (discovery and validation cohorts) with different implantation outcomes. MAIN RESULTS AND THE ROLE OF CHANCE: The protocols using EV enrichment detected more miRNAs than the methods based on direct RNA extraction. The two most efficient protocols (using polymer-based precipitation (PBP): PBP-M and PBP-N) were used to obtain two predictive models (based on three miRNAs) allowing us to distinguish between an implantative and non-implantative endometrium. The first Model 1 (PBP-M) (discovery: AUC = 0.93; P-value = 0.003; validation: AUC = 0.69; P-value = 0.019) used hsa-miR-200b-3p, hsa-miR-24-3p and hsa-miR-148b-3p. Model 2 (PBP-N) (discovery: AUC = 0.92; P-value = 0.0002; validation: AUC = 0.78; P-value = 0.0002) used hsa-miR-200b-3p, hsa-miR-24-3p and hsa-miR-99b-5p. Functional analysis of these miRNAs showed strong association with key implantation processes such as in utero embryonic development or transforming growth factor-beta signaling. LARGE SCALE DATA: The FASTQ data are available in the GEO database (access number GSE178917). LIMITATIONS, REASONS FOR CAUTION: One important factor to consider is the inherent variability among the women involved in the trial and among the transferred embryos. The embryos were pre-selected based on morphology, but neither genetic nor molecular studies were conducted, which would have improved the accuracy of our tests. In addition, a limitation in miRNA library construction is the low amount of input RNA. WIDER IMPLICATIONS OF THE FINDINGS: We describe new non-invasive protocols to analyze miRNAs from small volumes of EF. These protocols could be implemented in clinical practice to assess the status of the endometrium before attempting ET. Such evaluation could help to avoid the loss of embryos transferred to a non-implantative endometrium.",
keywords = "embryo implantation, endometrial fluid, extracellular vesicles, implantative endometrium, implantative IVF cycles, IVF, microRNAs, non-implantative endometrium, non-implantative IVF cycle, non-invasive biomarkers",
author = "Jone Iba{\~n}ez-Perez and Mar{\'i}a D{\'i}az-Nu{\~n}ez and Marc Clos-Garc{\'i}a and Luc{\'i}a Lainz and Mar{\'i}a Iglesias and Miren D{\'i}ez-Zapirain and Aintzane Rabanal and Laura B{\'a}rcena and Monika Gonz{\'a}lez and Lozano, {Juan J.} and Marigorta, {Urko M.} and Esperanza Gonz{\'a}lez and F{\'e}lix Royo and Aransay, {Ana M.} and Nerea Subiran and Roberto Matorras and Falc{\'o}n-P{\'e}rez, {Juan Manuel}",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2022.",
year = "2022",
doi = "10.1093/humrep/deac184",
language = "English",
volume = "37",
pages = "2375--2391",
journal = "Human reproduction (Oxford, England)",
issn = "0268-1161",
publisher = "European Society of Human Reproduction and Embryology",
number = "10",

}

RIS

TY - JOUR

T1 - microRNA-based signatures obtained from endometrial fluid identify implantative endometrium

AU - Ibañez-Perez, Jone

AU - Díaz-Nuñez, María

AU - Clos-García, Marc

AU - Lainz, Lucía

AU - Iglesias, María

AU - Díez-Zapirain, Miren

AU - Rabanal, Aintzane

AU - Bárcena, Laura

AU - González, Monika

AU - Lozano, Juan J.

AU - Marigorta, Urko M.

AU - González, Esperanza

AU - Royo, Félix

AU - Aransay, Ana M.

AU - Subiran, Nerea

AU - Matorras, Roberto

AU - Falcón-Pérez, Juan Manuel

N1 - Publisher Copyright: © The Author(s) 2022.

PY - 2022

Y1 - 2022

N2 - STUDY QUESTION: Is it possible to use free and extracellular vesicle-associated microRNAs (miRNAs) from human endometrial fluid (EF) samples as non-invasive biomarkers for implantative endometrium? SUMMARY ANSWER: The free and extracellular vesicle-associated miRNAs can be used to detect implantative endometrium in a noninvasive manner. WHAT IS KNOWN ALREADY: miRNAs and extracellular vesicles (EVs) from EF have been described as mediators of the embryo–en-dometrium crosstalk. Therefore, the analysis of miRNA from this fluid could become a non-invasive technique for recognizing implantative endometrium. This analysis could potentially help improve the implantation rates in ART. STUDY DESIGN, SIZE, DURATION: In this prospective study, we first optimized different protocols for EVs and miRNA analyses using the EF of a setup cohort (n = 72). Then, we examined differentially expressed miRNAs in the EF of women with successful embryo implantation (discovery cohort n = 15/validation cohort n = 30) in comparison with those for whom the implantation had failed (discovery cohort n = 15/validation cohort n = 30). Successful embryo implantation was considered when pregnancy was confirmed by vaginal ultrasound showing a gestational sac 4 weeks after embryo transfer (ET). PARTICIPANTS/MATERIALS, SETTING, METHODS: The EF of the setup cohort was obtained before starting fertility treatment during the natural cycle, 16–21 days after the beginning of menstruation. For the discovery and validation cohorts, the EF was collected from women undergoing frozen ET on Day 5, and the samples were collected immediately before ET. In this study, we compared five different methods; two of them based on direct extraction of RNA and the other three with an EV enrichment step before the RNA extraction. Small RNA sequencing was performed to determine the most efficient method and find a predictive model differentiating between implantative and non-implantative endometrium. The models were confirmed using quantitative PCR in two sets of samples (discovery and validation cohorts) with different implantation outcomes. MAIN RESULTS AND THE ROLE OF CHANCE: The protocols using EV enrichment detected more miRNAs than the methods based on direct RNA extraction. The two most efficient protocols (using polymer-based precipitation (PBP): PBP-M and PBP-N) were used to obtain two predictive models (based on three miRNAs) allowing us to distinguish between an implantative and non-implantative endometrium. The first Model 1 (PBP-M) (discovery: AUC = 0.93; P-value = 0.003; validation: AUC = 0.69; P-value = 0.019) used hsa-miR-200b-3p, hsa-miR-24-3p and hsa-miR-148b-3p. Model 2 (PBP-N) (discovery: AUC = 0.92; P-value = 0.0002; validation: AUC = 0.78; P-value = 0.0002) used hsa-miR-200b-3p, hsa-miR-24-3p and hsa-miR-99b-5p. Functional analysis of these miRNAs showed strong association with key implantation processes such as in utero embryonic development or transforming growth factor-beta signaling. LARGE SCALE DATA: The FASTQ data are available in the GEO database (access number GSE178917). LIMITATIONS, REASONS FOR CAUTION: One important factor to consider is the inherent variability among the women involved in the trial and among the transferred embryos. The embryos were pre-selected based on morphology, but neither genetic nor molecular studies were conducted, which would have improved the accuracy of our tests. In addition, a limitation in miRNA library construction is the low amount of input RNA. WIDER IMPLICATIONS OF THE FINDINGS: We describe new non-invasive protocols to analyze miRNAs from small volumes of EF. These protocols could be implemented in clinical practice to assess the status of the endometrium before attempting ET. Such evaluation could help to avoid the loss of embryos transferred to a non-implantative endometrium.

AB - STUDY QUESTION: Is it possible to use free and extracellular vesicle-associated microRNAs (miRNAs) from human endometrial fluid (EF) samples as non-invasive biomarkers for implantative endometrium? SUMMARY ANSWER: The free and extracellular vesicle-associated miRNAs can be used to detect implantative endometrium in a noninvasive manner. WHAT IS KNOWN ALREADY: miRNAs and extracellular vesicles (EVs) from EF have been described as mediators of the embryo–en-dometrium crosstalk. Therefore, the analysis of miRNA from this fluid could become a non-invasive technique for recognizing implantative endometrium. This analysis could potentially help improve the implantation rates in ART. STUDY DESIGN, SIZE, DURATION: In this prospective study, we first optimized different protocols for EVs and miRNA analyses using the EF of a setup cohort (n = 72). Then, we examined differentially expressed miRNAs in the EF of women with successful embryo implantation (discovery cohort n = 15/validation cohort n = 30) in comparison with those for whom the implantation had failed (discovery cohort n = 15/validation cohort n = 30). Successful embryo implantation was considered when pregnancy was confirmed by vaginal ultrasound showing a gestational sac 4 weeks after embryo transfer (ET). PARTICIPANTS/MATERIALS, SETTING, METHODS: The EF of the setup cohort was obtained before starting fertility treatment during the natural cycle, 16–21 days after the beginning of menstruation. For the discovery and validation cohorts, the EF was collected from women undergoing frozen ET on Day 5, and the samples were collected immediately before ET. In this study, we compared five different methods; two of them based on direct extraction of RNA and the other three with an EV enrichment step before the RNA extraction. Small RNA sequencing was performed to determine the most efficient method and find a predictive model differentiating between implantative and non-implantative endometrium. The models were confirmed using quantitative PCR in two sets of samples (discovery and validation cohorts) with different implantation outcomes. MAIN RESULTS AND THE ROLE OF CHANCE: The protocols using EV enrichment detected more miRNAs than the methods based on direct RNA extraction. The two most efficient protocols (using polymer-based precipitation (PBP): PBP-M and PBP-N) were used to obtain two predictive models (based on three miRNAs) allowing us to distinguish between an implantative and non-implantative endometrium. The first Model 1 (PBP-M) (discovery: AUC = 0.93; P-value = 0.003; validation: AUC = 0.69; P-value = 0.019) used hsa-miR-200b-3p, hsa-miR-24-3p and hsa-miR-148b-3p. Model 2 (PBP-N) (discovery: AUC = 0.92; P-value = 0.0002; validation: AUC = 0.78; P-value = 0.0002) used hsa-miR-200b-3p, hsa-miR-24-3p and hsa-miR-99b-5p. Functional analysis of these miRNAs showed strong association with key implantation processes such as in utero embryonic development or transforming growth factor-beta signaling. LARGE SCALE DATA: The FASTQ data are available in the GEO database (access number GSE178917). LIMITATIONS, REASONS FOR CAUTION: One important factor to consider is the inherent variability among the women involved in the trial and among the transferred embryos. The embryos were pre-selected based on morphology, but neither genetic nor molecular studies were conducted, which would have improved the accuracy of our tests. In addition, a limitation in miRNA library construction is the low amount of input RNA. WIDER IMPLICATIONS OF THE FINDINGS: We describe new non-invasive protocols to analyze miRNAs from small volumes of EF. These protocols could be implemented in clinical practice to assess the status of the endometrium before attempting ET. Such evaluation could help to avoid the loss of embryos transferred to a non-implantative endometrium.

KW - embryo implantation

KW - endometrial fluid

KW - extracellular vesicles

KW - implantative endometrium

KW - implantative IVF cycles

KW - IVF

KW - microRNAs

KW - non-implantative endometrium

KW - non-implantative IVF cycle

KW - non-invasive biomarkers

U2 - 10.1093/humrep/deac184

DO - 10.1093/humrep/deac184

M3 - Journal article

C2 - 36029522

AN - SCOPUS:85141870153

VL - 37

SP - 2375

EP - 2391

JO - Human reproduction (Oxford, England)

JF - Human reproduction (Oxford, England)

SN - 0268-1161

IS - 10

ER -

ID: 344437185