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Qunye Zhang

Researcher at Chinese Ministry of Education

Publications -  46
Citations -  1300

Qunye Zhang is an academic researcher from Chinese Ministry of Education. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 13, co-authored 35 publications receiving 903 citations. Previous affiliations of Qunye Zhang include China University of Mining and Technology & Shandong University.

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Angiotensin-converting enzyme 2 and angiotensin 1–7: novel therapeutic targets

TL;DR: The ACE2-mediated catabolism of angiotensin II is likely to have a major role in cardiovascular protection, whereas the relevant functions and signalling mechanisms of actions induced by ang Elliotensin 1–7 have not been conclusively determined.
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Shear stress regulates endothelial cell autophagy via redox regulation and Sirt1 expression

TL;DR: Sirt1-mediated autophagy in ECs may be a novel mechanism by which laminar flow produces its vascular-protective actions, and it is demonstrated that flow-conditioned cells are more resistant to oxidant-induced cell injury, and this cytoprotective effect was abolished after inhibition of autophile.
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Intestinal Flora Modulates Blood Pressure by Regulating the Synthesis of Intestinal-Derived Corticosterone in High Salt-Induced Hypertension.

TL;DR: HSIH could be transferred by fecal microbiota transplantation, indicating the pivotal roles of intestinal flora in hSIH development, and a novel mechanism different from inflammation/immunity by which intestinal flora regulated BP is revealed.
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Let-7e modulates the inflammatory response in vascular endothelial cells through ceRNA crosstalk

TL;DR: Let-7e was revealed as a pro-inflammatory mediator and a novel regulatory mechanism for the NF-κB pathway through ceRNA crosstalk, comprising let- 7e and its target IκBβ and the ceRNA lnc-MKI67IP-3.
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Circulating microRNAs Serve as Novel Biological Markers for Intracranial Aneurysms

TL;DR: It is suggested that circulating miRNAs may be novel biological markers that are useful in assessing the likelihood of IA occurrence and combining both miR‐16 and miR-25 in a single model did not improve the performance of risk association.