Global transcriptomic changes occur in uterine fluid-derived extracellular vesicles during the endometrial window for embryo implantation.
E Giacomini, G M Scotti, V S Vanni...
https://pubmed.ncbi.nlm.nih.gov/34190319Actively Recruiting
Led by IRCCS San Raffaele · Updated on 2025-10-07
530
Participants Needed
2
Research Sites
26 weeks
Total Duration
I
IRCCS San Raffaele
Lead Sponsor
A
AUO Renato Dulbecco
Collaborating Sponsor
Researchers are studying chronic gynecological conditions called endometriosis and adenomyosis, which affect women's reproductive health. This observational, multicenter study aims to improve early diagnosis and personalized treatment using a multi-omic approach. This includes integrating genetic, epigenetic, imaging, and endometrial receptivity data, with the goal of refining image-based predictions through artificial intelligence and examining uterine extracellular vesicles to assess fertility without invasive methods. The study involves four groups of women: those diagnosed with both endometriosis and adenomyosis, those with only endometriosis, those with only adenomyosis, and a control group of infertile women without these conditions. Blood samples for genetic and epigenetic analysis, ultrasound images for machine learning, and uterine fluid samples for gene expression studies are collected. Additionally, retrospective biobank samples from women with endometriosis are used for genetic comparison. Participants will undergo ultrasound screenings, provide blood and uterine fluid samples, and complete clinical questionnaires. Researchers will analyze epigenetic and genetic profiles, develop diagnostic models combining ultrasound and molecular data, and study gene expression from uterine fluid extracellular vesicles at specific menstrual cycle times. The study duration is planned for 24 months from recruitment start to data analysis, aiming to enhance diagnosis and understanding of these conditions' impact on fertility.
CONDITIONS
Next-Generation Endometriosis Diagnostics Through Comprehensive Multi-Dimensional Analysis
You may qualify if you...
You will not qualify if you...
Complete this quick 3-step screening to check your eligibility
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person) for ultrasound screening and eligibility assessment
Duration - Up to 24 months from recruitment to final analysis
Participants undergo blood collection for genetic and epigenetic analysis, ultrasound imaging for machine learning analysis, and in some cases, uterine fluid collection for gene expression profiling through uterine fluid extracellular vesicles (UF-EVs).
1 to 2 visits depending on group assignment
Duration - Up to 24 months
Participants' diagnostic data is analyzed over time to develop and validate diagnostic models integrating genetic, epigenetic, ultrasound imaging, and clinical data.
No additional visits; analysis conducted on collected data
Total: 2 locations
1
Azienda Ospedaliero Universitaria Renato Dulbecco di Catanzaro
Catanzaro, Catanzaro, Italy, 88100
Active, Not Recruiting
2
IRCCS San Raffaele Hospital
Milan, Milano, Italy, 20132
Actively Recruiting
L
LUCA PAGLIARDINI
E
ENRICO PAPALEO
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
5
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E Giacomini, G M Scotti, V S Vanni...
https://pubmed.ncbi.nlm.nih.gov/34190319Paolo Vercellini, Paola Viganò, Veronica Bandini...
https://pubmed.ncbi.nlm.nih.gov/36948440