M1 Macrophage-Derived Nanovesicles Repolarize M2 Macrophages for Inhibiting the Development of Endometriosis

Overview

Journal Front Immunol

Specialty Allergy & Immunology

Date 2021 Aug 6

PMID 34354711

Citations 18

Authors

Qiuju Li

Ming Yuan

Xue Jiao

Yufei Huang

Jing Li

Dong Li

Miaomiao Ji

Guoyun Wang

Affiliations

Soon will be listed here.

Abstract

Background: Endometriosis is a common nonmalignant gynecological disorder that affects 10-15% women of reproductive age and causes several symptoms that result in decreased quality of life and a huge social burden. In recent decades, extracellular vesicles (EVs) have gained attention as a potential therapeutic tool; however, the therapeutic effects of EVs against endometriosis have not been reported. Accordingly, in this study, we investigated the feasibility of nanovesicles (NVs) derived from M1 macrophages (M1NVs) in treating endometriosis.

Methods: M1NVs were prepared by serial extrusion. Co-culture assays were performed to investigate changes in tube formation and migration/invasion of eutopic endometrial stroma cells (ESCs) obtained from patients with endometriosis (EM-ESCs). A mouse model of endometriosis was established, and mice were treated with phosphate-buffered saline, M0NVs, or M1NVs to evaluate the efficacy and safety of M1NV for treating endometriosis.

Results: M1NVs directly or indirectly inhibited the migration and invasion of EM-ESCs and reduced tube formation. In the mouse model, M1NVs suppressed the development of endometriosis through reprogramming of M2 macrophages, without causing damage to the organs.

Conclusions: M1NVs inhibit the development of endometriosis directly, or through repolarizing macrophages from M2 to M1 phenotype. Hence, administration of M1NVs may represent a novel method for the treatment of endometriosis.

Citing Articles

Macrophage-derived extracellular vesicles as new players in chronic non-communicable diseases.

Lin F, Luo H, Wang J, Li Q, Zha L Front Immunol. 2025; 15:1479330.

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Identification and verification of diagnostic biomarkers for deep infiltrating endometriosis based on machine learning algorithms.

Shi S, Huang C, Tang X, Liu H, Feng W, Chen C J Biol Eng. 2024; 18(1):70.

PMID: 39587559 PMC: 11590220. DOI: 10.1186/s13036-024-00466-9.

M1 macrophages as promising agents for cell therapy of endometriosis.

Artemova D, Vishnyakova P, Elchaninov A, Gantsova E, Sukhikh G, Fatkhudinov T Heliyon. 2024; 10(16):e36340.

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Extracellular vesicles and their content in the context of polycystic ovarian syndrome and endometriosis: a review.

Duval C, Wyse B, Tsang B, Librach C J Ovarian Res. 2024; 17(1):160.

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Nanotechnologies for the detection and treatment of endometriosis.

Sahni M, Day E Front Biomater Sci. 2024; 2.

PMID: 38994324 PMC: 11238427. DOI: 10.3389/fbiom.2023.1279358.

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