פרסומיים מדעיים

בדיקת רוק לאבחון אנדומטריוזיס – פריצת דרך משמעותית לבריאות האישה

רוב הנשים הסובלות מאנדומטריוזיס עוברות תקופה ארוכה של חוסר וודאות רפואית (8 שנים בממוצע), שבמהלכן הן עוברות פגישות רבות, בדיקות ואבחונים לפני שאבחנה שלרוב מערבת ניתוח נעשית.

בדיקה לא פולשנית חדשנית יכולה כעת לאפשר להם להימנע ממסלול מכשולים זה. צוות צרפתי של מומחים לאנדומטריוזיס ומהנדסי בינה מלאכותית פיתחו בדיקה אבחנתית המבוססת על ריצוף של מיקרו-רנ"א הנמצאים ברוק.

בדיקת רוק פשוטה ולא פולשנית זו הנקראת Ziwig Endotest נתמכת על ידי הניסוי הקליני הגדול ביותר שנערך אי פעם בתחום זה:

היא מאפשרת גילוי מוקדם של אנדומיטריוזיס על כל צורותיו אפילו המורכבות ביותר עם אמינות קרובה ל- 100%.

היא צפויה לחולל מהפכה באבחון ובניהול המחלה ולהוות בעתיד הקרוב פריצת דרך משמעותית לבריאות האישה.

פרסומים מדעיים:

June 2023

Validation of the Salivary miRNA Signature of Endometriosis — Interim Data

Bendifallah S., Dabi Y., Suisse S., et al.

The discovery of a saliva-based micro–ribonucleic acid (miRNA) signature for endometriosis in 2022 opened up new perspectives for early and noninvasive diagnosis of the disease. The 109-miRNA saliva signature is the product of miRNA bio- markers and AI modeling. We designed a multicenter study to provide external validation of its diagnostic accuracy. We present here an interim analysis.

November 2022

Saliva microRNA signature to diagnose endometriosis: A cost-effectiveness evaluation of the Endotest®

Ferrier C., Bendifallah S., Suisse S., Dabi Y., Touboul C., Puchar A., Zarca K. and Durand Zaleski I.

Objective: To evaluate a saliva diagnostic test (Endotest®) for endometriosis compared with the conventional algorithm. Design: A cost-effectiveness analysis with a decision-tree model based on literature data. Setting: France. Population: Women with chronic pelvic pain.

October 2022

Endometriosis-associated infertility diagnosis based on saliva microRNA signatures

Dabi Y., Suisse S., Puchar A., Delbos L., Poilblanc M., Descamps P., Haury J., Golfier F., Jornea L., Bouteiller D., Touboul C., Daraï E. and Bendifallah S.

Research question: Can a saliva-based miRNA signature for endometriosis-associated infertility be designed and validated by analysing the human miRNome? Design: The prospective ENDOmiARN study (NCT04728152) included 200 saliva samples obtained between January 2021 and June 2021 from women with pelvic pain suggestive of endometriosis.

July 2022

A Bioinformatics Approach to MicroRNA‐Sequencing Analysis Based on Human Saliva Samples of Patients with Endometriosis

Bendifallah S., Dabi Y., Suisse S., Delbos L., Poilblanc M., Descamps P., Golfier F., Jornea L., Bouteiller D., Touboul C., Puchar A. and Daraï E.

Endometriosis, defined by the presence of endometrium-like tissue outside the uterus, affects 2–10% of the female population, i.e., around 190 million women, worldwide. The aim of the prospective ENDO-miRNA study was to develop a bioinformatics approach for microRNA- sequencing analysis of 200 saliva samples for miRNAome expression and to test its diagnostic accuracy for endometriosis.

May 2022

Endometriosis Associated-miRNome Analysis of Blood Samples: A Prospective Study

Bendifallah S., Dabi Y., Suisse S., Delbos L., Poilblanc M., Descamps P., Golfier F., Jornea L., Bouteiller D., Touboul C., Puchar A. and Daraï E.

The aim of our study was to describe the bioinformatics approach to analyze miRNome with Next Generation Sequencing (NGS) of 200 plasma samples from patients with and without endometriosis. Patients were prospectively included in the ENDO-miRNA study that selected patients with pelvic pain suggestive of endometriosis.

March 2022

MicroRNome analysis generates a blood-based signature for endometriosis

Bendifallah S., Suisse S., Dabi Y., et al.

Endometriosis, characterized by endometrial-like tissue outside the uterus, is thought to affect 2–10% of women of reproductive age: representing about 190 million women worldwide. Numerous studies have evaluated the diagnostic value of blood biomarkers but with disappointing results. Thus, the gold standard for diagnosing endometriosis remains laparoscopy. We performed a prospective trial, the ENDO-miRNA study, using both Artificial Intelligence (AI) and Machine Learning (ML),…

January 2022

Salivary MicroRNA Signature for Diagnosis of Endometriosis

Bendifallah S., Suisse S., Puchar A., et al.

Background: Endometriosis diagnosis constitutes a considerable economic burden for the healthcare system with diagnostic tools often inconclusive with insufficient accuracy. We sought to analyze the human miRNAome to define a saliva-based diagnostic miRNA signature for endometriosis.

January 2022

Clues for Improving the Pathophysiology Knowledge for Endometriosis Using Serum Micro-RNA Expression

Dabi Y., Suisse S., Jornea L., et al.

The pathophysiology of endometriosis remains poorly understood. The aim of the present study was to investigate functions and pathways associated with the various miRNAs differentially expressed in patients with endometriosis. Plasma samples of the 200 patients from the prospective “ENDO-miRNA”; study were analyzed and all known human miRNAs were sequenced.

January 2022

Machine learning algorithms as new screening approach for patients with endometriosis

Bendifallah S., Suisse S., Puchar A., et al.

Endometriosis—a systemic and chronic condition occurring in women of childbearing age—is a highly enigmatic disease with unresolved questions. While multiple biomarkers, genomic analysis, questionnaires, and imaging techniques have been advocated as screening and triage tests for endometriosis to replace diagnostic laparoscopy, none have been implemented routinely in clinical practice.