Looking at endometriosis–diagnosis and disease mechanisms through a mechanical lens

Endometriosis is a chronic gynecological disorder marked by the growth of endometrial-like tissue outside the uterus, often resulting in pain and infertility and affecting overall quality of life. Despite its prevalence, diagnostic delays persist due to reliance on invasive laparoscopy and the lack of sensitive, specific, non-invasive biomarkers. Current molecular and imaging tools have improved detection but remain limited, underscoring the need for new diagnostic strategies. This review introduces a mechanobiological perspective, exploring how cellular biophysical properties such as cell stiffness, deformability, and contractility can potentially serve as functional biomarkers for endometriosis. We examine lesion subtypes, menstrual cycle dynamics, and key biological processes such as decidualization, epithelial-mesenchymal transition (EMT), and stromal remodeling through a mechanical lens. Parallels are drawn between endometriosis and cancer to underscore the diagnostic potential of tissue and cell mechanics. We specifically highlight menstrual effluent as a promising non-invasive, cell-rich sample uniquely suited for mechanical profiling. Together, these insights suggest that viewing endometriosis with a mechanical lens may accelerate diagnostic innovation and uncover new mechanisms driving disease development and progression.

Authors

Institutions

Publication Details

Journal
Frontiers in Medicine
Published
2026-02-05
DOI
https://doi.org/10.3389/fmed.2026.1716836
Primary Topic
Endometriosis Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Looking at endometriosis–diagnosis and disease mechanisms through a mechanical lens

Trinity S. Ellis, Lydia L. Sohn, Pritika Acharya, Taylor Thomsen et al.
Frontiers in Medicine
Endometriosis Research and Treatment
article

Looking at endometriosis–diagnosis and disease mechanisms through a mechanical lens

Trinity S. Ellis, Lydia L. Sohn, Pritika Acharya, Taylor Thomsen, Emilie Petite, Corrine A. Pierce
article en

Abstract

Endometriosis is a chronic gynecological disorder marked by the growth of endometrial-like tissue outside the uterus, often resulting in pain and infertility and affecting overall quality of life. Despite its prevalence, diagnostic delays persist due to reliance on invasive laparoscopy and the lack of sensitive, specific, non-invasive biomarkers. Current molecular and imaging tools have improved detection but remain limited, underscoring the need for new diagnostic strategies. This review introduces a mechanobiological perspective, exploring how cellular biophysical properties such as cell stiffness, deformability, and contractility can potentially serve as functional biomarkers for endometriosis. We examine lesion subtypes, menstrual cycle dynamics, and key biological processes such as decidualization, epithelial-mesenchymal transition (EMT), and stromal remodeling through a mechanical lens. Parallels are drawn between endometriosis and cancer to underscore the diagnostic potential of tissue and cell mechanics. We specifically highlight menstrual effluent as a promising non-invasive, cell-rich sample uniquely suited for mechanical profiling. Together, these insights suggest that viewing endometriosis with a mechanical lens may accelerate diagnostic innovation and uncover new mechanisms driving disease development and progression.

Frontiers in MedicineVol. 13
QB3 (US), University of California, San Francisco (US)
National Institutes of Health, Feinstein Institutes for Medical Research
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
Endometriosis Research and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.