Evidence map›Paper›PMID 41728603›Full record

ReviewFrontiers in medicine2026

Looking at endometriosis-diagnosis and disease mechanisms through a mechanical lens.

Taylor Thomsen, Emilie Petite, Corrine A Pierce, Trinity Ellis, Pritika Acharya, Lydia Sohn

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Taylor ThomsenThe UC Berkeley - UC San Francisco Graduate Program in Bioengineering, University of California, Berkeley, CA, United States.
Emilie PetiteDepartment of Bioengineering, University of California, Berkeley, CA, United States.
Corrine A PierceCalifornia Institute for Quantitative Biosciences, University of California, Berkeley, CA, United States.
Trinity EllisDepartment of Integrative Biology, University of California, Berkeley, CA, United States.
Pritika AcharyaDepartment of Bioengineering, University of California, Berkeley, CA, United States.
Lydia SohnThe UC Berkeley - UC San Francisco Graduate Program in Bioengineering, University of California, Berkeley, CA, United States.

Funding

Mechanical Phenotyping of Random Periaerolar Fine Needle Aspiration-Collected Cells for Early Breast Cancer DetectionR01EB024989 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI Mark A LaBarge, Lydia L Sohn · 2017 to 2026
$4.8M
NIBIB NIH HHS R01 EB024989
6 · The paper itself

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.

Indexed as

diagnosticsendometriosismechanical biomarkermechanobiologymenstrual effluent

Identifiers

PMID41728603
PMCPMC12916566

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.