Danielle Janosevic, Thomas De Luca, Ricardo Melo Ferreira, Debora L Gisch, Ying-Hua Cheng, Takashi Hato, Jinghui Luo, Yingbao Yang, Jeffrey B Hodgin, Carrie L Phillips, Pierre C Dagher, Michael T Eadon
{"title":"miRNA and mRNA Signatures in Human Acute Kidney Injury Tissue.","authors":"Danielle Janosevic, Thomas De Luca, Ricardo Melo Ferreira, Debora L Gisch, Ying-Hua Cheng, Takashi Hato, Jinghui Luo, Yingbao Yang, Jeffrey B Hodgin, Carrie L Phillips, Pierre C Dagher, Michael T Eadon","doi":"10.1016/j.ajpath.2024.08.013","DOIUrl":null,"url":null,"abstract":"<p><p>Acute kidney injury (AKI) is an important contributor to the development of chronic kidney disease (CKD). There is a need to understand molecular mediators that drive recovery and progression to CKD. In particular, the regulatory role of miRNAs in AKI is poorly understood. miRNA and mRNA sequencing were performed on biobanked human kidney tissues obtained in the routine care of subjects with a diagnosis of AKI, minimal change disease, or without known kidney disease in nephrectomy tissue. mRNA analysis revealed that nephrectomy tissues exhibited an injury signature similar to that of AKI and not identified in minimal change disease samples. The transcriptomic signature of human AKI was enriched in pathways involved in cell adhesion, epithelial-to-mesenchymal transition, and cell cycle arrest (eg, CDH6, ITGB6, CDKN1A). In AKI, up-regulation of miR-146a, miR-155, miR-142, and miR-122 was associated with pathways involved in immune cell recruitment, inflammation, and epithelial-to-mesenchymal transition. miR-122 and miR-146 were associated with down-regulation of DDR2 and IGFBP6, which are genes involved in the recovery and progression of kidney disease. These data provide integrated miRNA signatures that complement mRNA and other epigenetic data available in kidney atlases.</p>","PeriodicalId":7623,"journal":{"name":"American Journal of Pathology","volume":" ","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Pathology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ajpath.2024.08.013","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PATHOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Acute kidney injury (AKI) is an important contributor to the development of chronic kidney disease (CKD). There is a need to understand molecular mediators that drive recovery and progression to CKD. In particular, the regulatory role of miRNAs in AKI is poorly understood. miRNA and mRNA sequencing were performed on biobanked human kidney tissues obtained in the routine care of subjects with a diagnosis of AKI, minimal change disease, or without known kidney disease in nephrectomy tissue. mRNA analysis revealed that nephrectomy tissues exhibited an injury signature similar to that of AKI and not identified in minimal change disease samples. The transcriptomic signature of human AKI was enriched in pathways involved in cell adhesion, epithelial-to-mesenchymal transition, and cell cycle arrest (eg, CDH6, ITGB6, CDKN1A). In AKI, up-regulation of miR-146a, miR-155, miR-142, and miR-122 was associated with pathways involved in immune cell recruitment, inflammation, and epithelial-to-mesenchymal transition. miR-122 and miR-146 were associated with down-regulation of DDR2 and IGFBP6, which are genes involved in the recovery and progression of kidney disease. These data provide integrated miRNA signatures that complement mRNA and other epigenetic data available in kidney atlases.
期刊介绍:
The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.