The mir-200 family regulates key pathogenic events in ascending aortas of individuals with bicuspid aortic valves.
The mir-200 family regulates key pathogenic events in ascending aortas of individuals with bicuspid aortic valves.
复制标题
miR-200家族调节双质主动脉瓣升主动脉的关键致病事件。
DOI:
10.1111/joim.12833
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发表时间:
2019-01
影响因子:
11.1
通讯作者:
Eriksson P
中科院分区:
文献类型:
--
作者:
Maleki S;Cottrill KA;Poujade FA;Bhattachariya A;Bergman O;Gådin JR;Simon N;Lundströmer K;Franco-Cereceda A;Björck HM;Chan SY;Eriksson P
An individual with a bicuspid aortic valve (BAV) runs a substantially higher risk of developing aneurysm in the ascending aorta compared to the normal population with tricuspid aortic valves (TAV). Aneurysm formation in patients with BAV and TAV is known to be distinct at the molecular level but the underlying mechanisms are undefined. Here, we investigated the still incompletely described role of microRNAs (miRNAs), important post‐transcriptional regulators of gene expression, in such aortic disease of patients with BAV as compared with TAV. Using a system biology approach, based on data obtained from proteomic analysis of non‐dilated aortas from BAV and TAV patients, we constructed a gene‐interaction network of regulatory microRNAs associated with the observed differential protein signature. The miR‐200 family was the highest ranked miRNA, hence potentially having the strongest effect on the signalling network associated with BAV. Further, qRT‐PCR and ChIP analyses showed lower expression of miR‐200c, higher expression of miR‐200 target genes, ZEB1/ZEB2 transcription factors, and higher chromatin occupancy of the miR‐200c promoter by ZEB1/ZEB2 in BAV patients, indicating a miR‐200c/ZEBs negative feedback loop and induction of endothelial/epithelial mesenchymal transition (EndMT/EMT). We propose that a miR‐200‐dependent process of EndMT/EMT is a plausible biological mechanism rendering the BAV ascending aorta more prone to aneurysm development. Although initially supported by a miR‐200c/ZEB feedback loop, this process is most probably advanced by cooperation of other miRNAs.
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影响因子:
3.7
作者:
Katz B;Reis ST;Viana NI;Morais DR;Moura CM;Dip N;Silva IA;Iscaife A;Srougi M;Leite KR
通讯作者:
Leite KR
影响因子:
4.8
作者:
Eades, Gabriel;Yao, Yuan;Zhou, Qun
通讯作者:
Zhou, Qun
影响因子:
--
作者:
Follo, Matilde Y;Manzoli, Lucia;Cocco, Lucio
通讯作者:
Cocco, Lucio
影响因子:
3.9
作者:
Cai, Zhi-Gang;Zhang, Shao-Ming;Xu, Xiao-Ping
通讯作者:
Xu, Xiao-Ping
影响因子:
20.1
作者:
Lagendijk, Anne Karine;Goumans, Marie Jose;Bakkers, Jeroen
通讯作者:
Bakkers, Jeroen