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Development of a humanized mouse model with functional human materno-fetal interface immunity
Shuai Dong, Cong Fu, Chang Shu, Min Xie, Yan Li, Jun Zou, Yi-Zi Meng, Peng Xu, Yan-Hong Shan, Hui-Min Tian, Jin He, Yong-Guang Yang, Zheng Hu
Shuai Dong, Cong Fu, Chang Shu, Min Xie, Yan Li, Jun Zou, Yi-Zi Meng, Peng Xu, Yan-Hong Shan, Hui-Min Tian, Jin He, Yong-Guang Yang, Zheng Hu
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Research Article Immunology Reproductive biology

Development of a humanized mouse model with functional human materno-fetal interface immunity

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Abstract

Materno-fetal immunity possesses specialized characteristics to ensure pathogen clearance while maintaining tolerance to the semiallogeneic fetus. Most of our understanding on human materno-fetal immunity is based on conventional rodent models that may not precisely represent human immunological processes owing to the huge evolutionary divergence. Herein, we developed a pregnant human immune system (HIS) mouse model through busulfan preconditioning, which hosts multilineage human immune subset reconstitution at the materno-fetal interface. Human materno-fetal immunity exhibits a tolerogenic feature at the midgestation stage (embryonic day [E] 14.5), and human immune regulatory subsets were detected in the decidua. However, the immune system switches to an inflammatory profile at the late gestation stage (E19). A cell–cell interaction network contributing to the alternations in the human materno-fetal immune atmosphere was revealed based on single-cell RNA-Seq analysis, wherein human macrophages played crucial roles by secreting several immune regulatory mediators. Furthermore, depletion of Treg cells at E2.5 and E5.5 resulted in severe inflammation and fetus rejection. Collectively, these results demonstrate that the pregnant HIS mouse model permits the development of functional human materno-fetal immunity and offers a tool for human materno-fetal immunity investigation to facilitate drug discovery for reproductive disorders.

Authors

Shuai Dong, Cong Fu, Chang Shu, Min Xie, Yan Li, Jun Zou, Yi-Zi Meng, Peng Xu, Yan-Hong Shan, Hui-Min Tian, Jin He, Yong-Guang Yang, Zheng Hu

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