Non-invasive Diagnostic Innovations for Endometriosis Detection: A Comprehensive Approach Using Menstrual Blood

In: Geburtshilfe und Frauenheilkunde · 2025 · vol. 85 · doi:10.1055/s-0045-1812524 · W4416156068
article OA: closed CC0
Full text JSON View on OpenAlex View at publisher
AI-generated summary by claude@2026-07+body, 2026-07-09

This study developed a method for stabilizing menstrual blood and identified ten RNA biomarkers from menstrual blood that can accurately diagnose endometriosis in a small validation set.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

AI-generated deep summary by claude@2026-07, 2026-07-09 · read from full text

The paper studies non-invasive diagnostic approaches for endometriosis using menstrual blood, focusing on experimental optimization of RNA handling (purity and quantity) across menstrual cycle timing, collection time point, temperature, stabilizer volume, collection method, and RNA stability over time. It also analyzes RNA-sequencing data from endometrium and blood samples (n=1,142) to identify endometriosis-specific biomarkers, then validates a selected set using qPCR in an independent menstrual blood test set (n=20). The authors report that RNA purity/amount remained robust under varying laboratory conditions, including menstrual blood stabilization for up to 7 days across temperatures from −20 to +60°C, and that qPCR showed statistically significant biomarker differences between endometriosis and healthy controls. A stated caveat is the need for larger-scale validation beyond the current study sizes. This paper is centrally about endometriosis — it develops and validates menstrual-blood RNA biomarkers and sample-stabilization methods for non-invasive endometriosis detection.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Full text 2,299 characters · extracted from oa-doi-fallback · click to expand
Subscribe to RSS DOI: 10.1055/s-0045-1812524 Non-invasive Diagnostic Innovations for Endometriosis Detection: A Comprehensive Approach Using Menstrual Blood Authors Topic: Allgemeine Gynäkologie Einleitung: Endometriosis affects approximately 10% of women globally and is often diagnosed after 5-10 years. A non-invasive diagnosis is urgently needed to reduce diagnostic delays and improve patient outcomes. Our study focuses on menstrual blood as medium for a non-invasive diagnosis Patient:innen und Methoden: We conducted experiments on RNA purity and the amount of RNA in menstrual blood by testing various factors, including the collection time point during the menstrual cycle, temperature, stabilizer volume, collection method, and RNA stability over time. We analyzed RNA-sequencing patient samples (n=1.142) from endometrium and blood and identified specific biomarkers for endometriosis. We validated our biomarkers with an independent test set of menstrual blood using qPCR. Ergebnisse: Our study gives insights on how to handle menstrual blood for laboratory purposes. We could confirmed RNA purity and amount across varying conditions, including collection time point, temperature, RNA extraction kit, and stabilizer volume. With our laboratory method we are able stabilize menstrual blood for up to 7 days at temperatures ranging from -20 to+60°C. We identified specific biomarkers for endometriosis. We ended up with a list of 10 biomarkers, excluding those without physiological relevance, and tested them in menstrual blood. The independent test set (n=20) confirmed statistically significant difference between endometrsiosis and healthy control using qPCR. These results highlight the robustness of our approach for non-invasive endometriosis diagnostics, acknowledging the need for larger-scale validation. Schlussfolgerung/Diskussion: The menstrual blood diagnostic kit represents a breakthrough in endometriosis diagnosis, offering women a pain-free, cost-effective, and accurate solution for early detection and treatment. This innovation could significantly reduce the diagnosis time from years to days. Publication History Article published online: 12 November 2025 © 2025. Thieme. All rights reserved. Georg Thieme Verlag KG Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Condition tags

endometriosis

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

openalex
last seen: 2026-06-10T17:14:06.276822+00:00
License: CC0 · commercial use OK