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| ID | Type | Description | Link |
|---|---|---|---|
| RF-2019-12369460 | Other Grant/Funding Number | Ministry of Health (Italy) |
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| Name | Class |
|---|---|
| Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico | OTHER |
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In reproductive medicine, a fundamental challenge is to evaluate the endometrial health status during the embryo implantation window as a limiting step in predicting the success of treatments of assisted reproduction technology (ART). Some highthroughput tools, recently developed by private genomics companies, are available in the market even if they have not been independently validated and have different limitations. We propose a prospective cohort study with the aim of validating the reliability and increasing efficacy of these tools. Endometrial fluid samples will be collected non-invasively from women undergoing ART cycles and isolated genetic materials will be subjected to 16S rRNA gene sequencing for microbiota profiling and to RNAseq analysis of RNA content of extracellular vesicles previously recognized as a tissue proxy in predicting endometrial receptivity. Clinical pregnancy rate/first cycle will be the target outcome used to assess the resulting predictive models. Ultrasonographic features of the endometrium will also be collected and accounted for in the predictive model.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| fertile women | Reference group | ||
| infertile women undergoing ART cycles | Cases group |
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| Measure | Description | Time Frame |
|---|---|---|
| Identification of endometrial microbiome diversity | Evaluation of the endometrial microbiome composition and diversity using 16S rRNA sequencing to assess the functional impact of the endometrial microbial community in predicting the clinical pregnancy rate in women undergoing ART cycles. | through study completion, an average of 1 year |
| Extracellular Vesicle (EV) RNA Profiles | Quantification of extracellular vesicle (EV) RNA expression profiles from uterine fluid samples using RNA sequencing (expressed in CPM). Confirmation of the good correlation between expression of genes in tissue samples and in endometrial-derived EVs. | through study completion, an average of 1 year |
| Integrated Predictive Model for Clinical Pregnancy | Development of a multivariable predictive model combining endometrial microbiome diversity, EV RNA profiles, and ultrasound-AI analysis to predict clinical pregnancy rates in ART cycles. | through study completion, an average of 1 year |
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IVF Patients inclusion Criteria:
IVF Patients exclusion Criteria:
Fertile Patients inclusion Criteria:
Fertile Patients exclusion Criteria:
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The study population is composed of women undergoing assisted reproduction treatments, specifically in vitro fertilization (IVF). These patients are followed in an outpatient setting at two specialized infertility centers in Italy: San Raffaele Hospital and Fondazione Cà Granda Policlinico. They are women who have been referred to IVF due to infertility, and are starting their first IVF cycle. All participants meet specific inclusion criteria, such as being between 18 and 39 years of age, having normal uterine anatomy, and no evidence of hydrosalpinx on ultrasound examination.
The outpatient nature of the study allows for non-invasive sampling procedures and routine follow-up without the need for hospitalization. This setting reflects real-world clinical practice in reproductive medicine, ensuring that the findings will be directly applicable to standard IVF care. Additionally, the study includes a group of fertile women, also managed on an outpatient basis, who serve as a reference.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| OSR Innate Immunity and tissue remodeling Unit and Centro Scienze Natalità OS | Milan | milano | 20133 | Italy |
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Uterine fluid samples
| ID | Term |
|---|---|
| D007246 | Infertility |
| ID | Term |
|---|---|
| D000091662 | Genital Diseases |
| D000091642 | Urogenital Diseases |
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