Publications by authors named "Qinghui Kan"

Background: Developing a molecular signature associated with CD4 + T cell infiltration is essential for identifying biomarkers in abdominal aortic aneurysms (AAA). Establishing such a signature is vital for improving diagnostic accuracy and therapeutic strategies for AAA. This study focuses on CD4 + T cells, which are pivotal in the immune microenvironment of AAA, to pinpoint key targets.

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  • Lower limb arterial occlusive disease is often treated with paclitaxel-coated balloons (PCBs), but post-treatment restenosis (re-narrowing) remains a major issue.
  • The study found that the NLRP3 protein is activated during this process, promoting blood vessel cell proliferation, migration, and resistance to the effects of paclitaxel.
  • Using a compound called JQ1 alongside paclitaxel showed promising results in preventing restenosis, suggesting a potential new treatment strategy for patients.
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Background: Ruptured atherosclerotic plaques often precipitate severe ischemic events, such as stroke and myocardial infarction. Unraveling the intricate molecular mechanisms governing vascular smooth muscle cell (VSMC) behavior in plaque stabilization remains a formidable challenge.

Methods: In this study, we leveraged single-cell and transcriptomic datasets from atherosclerotic plaques retrieved from the gene expression omnibus (GEO) database.

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Abdominal aortic aneurysm (AAA) is typically asymptomatic but a devastating cardiovascular disorder, with overall mortality exceeding 80 % once it ruptures. Some patients with AAA may also have comorbid metabolic syndrome (MS), suggesting a potential common underlying pathogenesis. Mitochondrial dysfunction has been reported as a key factor contributing to the deterioration of both AAA and MS.

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  • N-methyladenosine (m6A) is a common RNA modification linked to various cardiovascular diseases, and while studies suggest its involvement in abdominal aortic aneurysm (AAA), the complete range of m6A regulators remains unclear.
  • By analyzing mRNA levels of 17 m6A regulators, researchers identified three m6A methylation subtypes in AAA patients, distinguishing between more immunologically activated clusters and those associated with extracellular matrix stability.
  • The study developed an m6Ascore model to assess m6A methylation patterns, finding that a high m6Ascore correlates with increased inflammatory activity in AAA, potentially guiding personalized treatment strategies in the future.
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