Publications by authors named "Chaojie Tang"

Endovascular treatment (EVT) using stents has become the primary option for severe cerebrovascular stenosis. However, considerable challenges remain to be addressed, such as in-stent restenosis (ISR) and late thrombosis. Many modified stents have been developed to inhibit the hyperproliferation of vascular smooth muscle cells (SMCs) and protect vascular endothelial cells (VECs), thereby reducing such complications.

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Magnetic resonance imaging (MRI) is instrumental in the noninvasive evaluation of tumor tissues in patients subjected to chemotherapy, thereby yielding essential diagnostic data crucial for the prognosis of tumors and the formulation of therapeutic strategies. Currently, commercially available MRI contrast agents (CAs) predominantly consist of mononuclear gadolinium(III) complexes. Because there is only one Gd(III) atom per molecule, these CAs often require administration in high doses to achieve the desired contrast quality, which inevitably leads to some adverse events.

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Article Synopsis
  • Biodegradable stents are being developed for treating cerebrovascular diseases, and visualizing them during and after implantation is crucial for effective treatment.
  • This study introduces a new biodegradable stent made from polycaprolactone (PCL) and potassium iodate (KIO), which can be seen on X-rays due to the KIO addition.
  • Tests in rabbits show that the PCL-KIO stent remains visible and effective six months after implantation, demonstrating its potential as a reliable option for biodegradable stent visualization.
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Background: The role of complement component 1q (C1Q) related genes on human atherosclerotic plaques (HAP) is less known. Our aim is to establish C1Q associated hub genes using single-cell RNA sequencing (scRNA-seq) and bulk RNA analysis to diagnose and predict HAP patients more effectively and investigate the association between C1Q and HAP (ischemic stroke) using bidirectional Mendelian randomization (MR) analysis.

Methods: HAP scRNA-seq and bulk-RNA data were download from the Gene Expression Omnibus (GEO) database.

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Histopathology evaluation and lymphadenectomy of node-positive patients is the usual procedure in clinical therapy. However, it requires days for the histopathology result analysis, which impedes intraoperative decision-making and immediate treatment. Noninvasive real-time imaging of metastatic lymph nodes can overcome these defects and help medical workers evaluate lymph nodes and make the operation decision more efficiently.

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Background: Rabbit elastase-induced aneurysms have widely been used to test various endovascular materials over the past two decades. However, wide-necked aneurysms cannot be stably constructed.

Objective: The purpose of the study was to increase the neck width of the elastase-induced aneurysm model in rabbits an improved surgical technique with two temporary clips.

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Background: Posterior communicating artery (PcomA) aneurysms are more likely to recanalize than anterior communicating artery (AcomA) aneurysms. However, it is still unclear whether the recanalization rate of these aneurysms is a result of involvement from the fetal posterior cerebral artery (fPCA) in PcomA aneurysms and variation of the unilateral A1 segment in AcomA aneurysms. The purpose of this study is to retrospectively evaluate the different recanalization rates between PcomA aneurysms with fPCA and AcomA aneurysms with a variation of the unilateral A1 segment.

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Thrombosis is closely related to the instability of intracranial aneurysm (IA), whose rupture is associated with high morbidity and mortality. It is difficult to detect an IA-related thrombus because traditional magnetic resonance imaging (MRI) and even contrast-enhanced MRI cannot clearly distinguish a thrombus from the surrounding tissues. Herein, a nanoplatform [(MFeO-ZnDPA nanoparticles (NPs)], consisting of ZnCoFeO@ZnMnFeO NPs for imaging and Zn(II)-bis(dipicolylamine) (ZnDPA) for thrombus targeting, is constructed to target an experimental aneurysm-related thrombus in rabbits via MRI.

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