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Cited by 567

The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.

The Immunopathophysiology of Endometriosis

Symons, Lindsey K., Miller, Jessica E., Kay, Vanessa R., Marks, Ryan M., Liblik, Kiera, Koti, Madhuri, Tayade, Chandrakant·2018·Trends in Molecular Medicine

Abstract

Endometriosis is a chronic, inflammatory, estrogen-dependent disease characterized by the growth of endometrial tissue outside of the uterine cavity. Although the etiology of endometriosis remains elusive, immunological dysfunction has been proposed as a critical facilitator of ectopic lesion growth following retrograde menstruation of endometrial debris. However, it is not clear whether this immune dysfunction is a cause or consequence of endometriosis. Thus, here we provide in-depth insights into our current understanding of the immunopathophysiology of endometriosis and highlight challenges and opportunities for future research. With the explosion of successful immune-based therapies targeting various chronic inflammatory conditions, it is crucial to determine whether immune dysfunction can be therapeutically targeted in endometriosis.

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Crossref · 10.1016/j.molmed.2018.07.004

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Metadata

Authors
Symons, L. K., Miller, J. E., Kay, V. R., Marks, R. M., Liblik, K., Koti, M., & Tayade, C.
Venue
Trends in Molecular Medicine
Publisher
Elsevier BV
Published
2018-09
Volume
24
Issue
9
Pages
748-762
ISSN
1471-4914 (ISSN-L)
OpenAlex
W2884952568
Cited by
567
References
122
FWCI
6.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Immunopathophysiology of Endometriosis. https://app.cochat.ai/papers/10.1016/j.molmed.2018.07.004
The paper
Symons, L. K., Miller, J. E., Kay, V. R., Marks, R. M., Liblik, K., Koti, M., & Tayade, C. (2018). The Immunopathophysiology of Endometriosis. Trends in Molecular Medicine. https://doi.org/10.1016/j.molmed.2018.07.004

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.