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DOI 10.1111/nyas.14868

Медицинская библиотека · Annals of the New York Academy of Sciences · 2022

Identification by RNA-Seq of let-7 clusters as prenatal biomarkers for nonsyndromic cleft lip with palate.

Jia Shanshan, Zhang Qiang, Wang Yu, Wei Xiaowei, Gu Hui, Liu Dan, Ma Wei, He Yiwen, Luo Wenting, Yuan Zhengwei

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Nonsyndromic cleft lip with palate (nsCLP) is a common congenital malformation; however, early prenatal diagnosis is challenging and pathogenesis remains unclear. The purpose of this study was to determine the diagnostic potential of miRNAs in plasma-derived exosomes and whole plasma of pregnant women to identify nsCLP and an underlying mechanism. Combined RNA sequencing analysis was performed on samples from plasma exosomes and whole plasma of pregnant women carrying normal fetuses or fetuses with nsCLP in an ongoing birth cohort, in addition to lip samples from nsCLP fetuses and healthy controls. Eight let-7 cluster miRNAs (hsa-let-7a-3p, hsa-let-7a-5p, hsa-let-7c-5p, hsa-let-7d-3p, hsa-let-7d-5p, hsa-let-7e-5p, hsa-let-7f-5p, and hsa-miR-98-5p) in plasma exosomes from pregnant women provided higher sensitivity/specificity for diagnosing fetal nsCLP than those in plasma. Area under the receiver operating characteristic curve value of the eight miRNAs from plasma exosomes was 0.992. Among them, hsa-let-7a-3p showed better diagnostic capability and was downregulated in nsCLP fetal lip tissues. Upstream and downstream target genes of hsa-let-7a-3p were screened and confirmed. Our work highlights the potential clinical application value of let-7 clusters in predicting nsCLP and associates as a new regulatory axis (EN2-LIN28A-hsa-let-7a-3p-HHIP-GLI2) with human nsCLP pathogenesis.

Для цитирования: Jia Shanshan, Zhang Qiang, Wang Yu, Wei Xiaowei, Gu Hui, Liu Dan, Ma Wei, He Yiwen, Luo Wenting, Yuan Zhengwei. Identification by RNA-Seq of let-7 clusters as prenatal biomarkers for nonsyndromic cleft lip with palate.. Annals of the New York Academy of Sciences. 2022. DOI: 10.1111/nyas.14868.

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