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Decoding adenomyosis pathogenesis using an assembloid model

delete2025-08-28
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PRE
AI
Y
Yiliang Xu
T
Tao Cheng
J
Jianzhang Wang
Z
Zhiruo Qiu
X
Xiaohong Guan
Y
Yayuan Yu
J
Jiacheng Shen
F
Fangfang Xu
姜晓宏 (Xiaohong Jiang)
D
Dandan Bai
M
Mingzhu Wang
S
Shuyan Mei
H
Hong Wang
X
Xiaocui Xu *
吴丽 cover
吴丽 (Li Wu) *
S
Shaorong Gao *
X
Xuan Che *
DOI:10.1007/s11427-025-2981-1delete
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Abstract

Abstract

En 中文
Adenomyosis remains a challenging gynecological disorder to investigate due to the absence of in vitro models that accurately replicate endometrial tissue dynamics across the menstrual cycle. To address this gap, we established an endometrial assembloid model that faithfully mimics cycle-dependent endometrial responses and captures key cellular and molecular hallmarks of adenomyosis, including ectopic lesion- specific epithelial and stromal heterogeneity. Single-cell transcriptomics revealed that ectopic epithelial cells shift toward a luminal- dominant, glandular-deficient transcriptional profile during the secretory-like phase. This transition correlated with ectopic stromal reorganization—specifically, loss of BMP4+ stromal cells and an accumulation of CRYAB+IL15+ stromal cells—which impaired BMP-mediated stromal-epithelial signaling while enhancing WNT activation. Additionally, ectopic epithelial and stromal cells demonstrated increased immunity and angiogenesis activities. Our assembloid platform not only provides a physiologically relevant model for investigating adenomyosis pathogenesis but also implicates aberrant WNT signaling as a potential therapeutic target, offering new opportunities for mechanism-driven treatment strategies.

Journal

Science China-Life Sciences cover
Science China-Life Sciences
IF:
9.5
Papers:
577
Citations:
9.4K

Organization

S
School of Medicine
Scholars:
8.6K
Papers: 3.3K
Citations: 5
C
College of Animal Science and Technology
Scholars:
2.0K
Papers: 400
Citations: 0
D
Department of Obstetrics and Gynecology
Scholars:
1.6K
Papers: 595
Citations: 1
W
Wenzhou Medical University
Scholars:
3.3W
Papers: 1.6W
Citations: 3.0W
S
School of Life Sciences and Technology
Scholars:
200
Papers: 50
Citations: 0
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