Back

Spatially Mapping the Mechanical and Structural Properties of the Seedling Uterine Fibroid-Myometrium Interface

Fodera, D. M.; Sutcu, A.; Joasil, A. S.; Therien, A. M.; Jackson, J.; Advincula, A. P.; Chen, X.; Hendon, C. P.; Oyen, M. L.; Korem, T.; Myers, K. M.

2025-11-16 bioengineering
10.1101/2025.11.14.687752 bioRxiv
Show abstract

Uterine fibroids (leiomyomas) are highly prevalent, noncancerous tumors canonically described as stiff and collagen-dense. Still, the mechanical heterogeneity within uterine fibroids and the alterations that occur at the fibroid-myometrium interface remain poorly understood. This study quantitatively maps the local mechanical, structural, and compositional properties of seedling uterine fibroids (< 1 cm) at the interface region. Relative to patient-matched myometrial tissues, uterine fibroids exhibited increased stiffness, decreased permeability, increased diffusivity, decreased hydration, greater collagen content, and distinct collagen organization. At the fibroid-myometrium interface, a band of aligned myometrial fibers immediately adjacent to the fibroid was observed, and heterogeneous spatial patterns in elastic modulus and permeability were identified. Ultimately, this study establishes foundational knowledge on the mechanics and structure of seedling uterine fibroids, facilitating future developments of clinically translatable detection tools.

Published in npj Women's Health · not in our set (fewer than 10 published preprints to learn from) · training set

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Advanced Science
○ 286 papers in training set
Top 0.1%
22.9%
Similar papers in this journal
2
Biomaterials
○ 84 papers in training set
Top 0.1%
10.9%
Similar papers in this journal
3
Scientific Reports
○ 3612 papers in training set
Top 3%
10.9%
Similar papers in this journal
4
Acta Biomaterialia
○ 92 papers in training set
Top 0.2%
8.1%
Similar papers in this journal
50% of probability mass above
5
APL Bioengineering
● 19 papers in training set
Top 0.1%
4.4%
Similar papers in this journal
6
Small
○ 78 papers in training set
Top 0.3%
4.1%
7
Science Advances
● 1243 papers in training set
Top 8%
4.1%
8
Nature Materials
○ 28 papers in training set
Top 0.1%
3.5%
9
Nature Communications
○ 5641 papers in training set
Top 34%
3.3%
10
PNAS Nexus
◐ 159 papers in training set
Top 0.5%
2.5%
11
Communications Biology
○ 993 papers in training set
Top 8%
2.5%
12
Advanced Healthcare Materials
○ 85 papers in training set
Top 0.8%
2.0%
13
eLife
● 5828 papers in training set
Top 50%
1.7%
14
Cellular and Molecular Bioengineering
○ 22 papers in training set
Top 0.3%
1.2%
15
Journal of The Royal Society Interface
● 235 papers in training set
Top 3%
1.2%
16
iScience
○ 1154 papers in training set
Top 25%
1.2%
17
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 33%
1.2%
18
ACS Biomaterials Science & Engineering
● 37 papers in training set
Top 0.8%
1.1%
19
The FASEB Journal
○ 194 papers in training set
Top 4%
1.1%
20
Annals of Biomedical Engineering
○ 37 papers in training set
Top 0.9%
1.0%
21
Journal of the Mechanical Behavior of Biomedical Materials
○ 24 papers in training set
Top 0.4%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.