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DOI 10.1002/jex2.160

Медицинская библиотека · Journal of extracellular biology · 2024

Amniotic fluid-derived small extracellular vesicles for predicting postnatal severe outcome of congenital diaphragmatic hernia.

Matsuo Seiko, Yokoi Akira, Yoshida Kosuke, Kitagawa Masami, Asano-Inami Eri, Miura Mayo, Yasui Takao, Tano Sho, Ushida Takafumi, Imai Kenji, Kajiyama Hiroaki, Kotani Tomomi

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Аннотация

Congenital diaphragmatic hernia (CDH) is a life-threatening condition with high morbidity and mortality rates. The survival rate of neonates with severe CDH is reportedly only 10%-15%. However, prenatal prediction of severe cases is difficult, and the discovery of new predictive markers is an urgent issue. In this study, we focused on microRNAs (miRNAs) in amniotic fluid-derived small EVs (AF-sEVs). We identified four miRNAs (hsa-miR-127-3p, hsa-miR-363-3p, hsa-miR-493-5p, and hsa-miR-615-3p) with AUC > 0.8 to classify good prognosis group and poor prognosis group in human study. The AUC for hsa-miR-127-3p and hsa-miR-615-3p, for predicting the poor prognosis, were 0.93 and 0.91, respectively. In addition, in the in vivo study, the miRNA profiles of the lung tissues of CDH rats were different from those of control rats. Additionally, two elevated miRNAs (rno-miR-215-5p and rno-miR-148a-3p) in the lung tissues of CDH rats were increased in the AF-sEVs of CDH rats. Our results suggest that severe CDH neonates can be predicted prenatally with high accuracy using miRNAs contained in AF-sEVs. Furthermore, miRNA profile changes in AF-sEVs reflected the lung status in CDH. Our findings may contribute to the development of advanced perinatal care for patients with CDH.

Для цитирования: Matsuo Seiko, Yokoi Akira, Yoshida Kosuke, Kitagawa Masami, Asano-Inami Eri, Miura Mayo, Yasui Takao, Tano Sho, Ushida Takafumi, Imai Kenji, Kajiyama Hiroaki, Kotani Tomomi. Amniotic fluid-derived small extracellular vesicles for predicting postnatal severe outcome of congenital diaphragmatic hernia.. Journal of extracellular biology. 2024. DOI: 10.1002/jex2.160.
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