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The clinical evidence has proven that valvular stenosis is closely related to many vascular diseases, which attracts great academic attention to the corresponding pathological mechanisms. The investigation is expected to benefit from the further development of an in vitro model that is tunable for bio-mimicking progressive valvular stenosis and enables accurate optical recognition in complex blood flow. Here, we develop a valve-adjustable optofluidic bio-imaging recognition platform to fulfill it. Specifically, the bionic valve was designed with in situ soft membrane, and the internal air-pressure chamber could be regulated from the inside out to bio-mimic progressive valvular stenosis. The developed imaging algorithm enhances the recognition of optical details in blood flow imaging and allows for quantitative analysis. In a prospective clinical study, we examined the effect of progressive valvular stenosis on hemodynamics within the typical physiological range of veins by this way, where the inhomogeneity and local enhancement effect in the altered blood flow field were precisely described and the optical differences were quantified. The effectiveness and consistency of the results were further validated through statistical analysis. In addition, we tested it on fluorescence and noticed its good performance in fluorescent tracing of the clotting process. In virtue of theses merits, this system should be able to contribute to mechanism investigation, pharmaceutical development, and therapeutics of valvular stenosis-related diseases.
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http://dx.doi.org/10.1021/acssensors.3c00754 | DOI Listing |
Turk Kardiyol Dern Ars
September 2025
Department of Cardiology, Muğla Sıtkı Koçman University, School of Medicine, Muğla, Türkiye.
Objective: Management of aortic stenosis (AS) requires integrating complex clinical, imaging, and risk stratification data. Large language models (LLMs) such as ChatGPT and Gemini AI have shown promise in healthcare, but their performance in valvular heart disease, particularly AS, has not been thoroughly assessed. This study systematically compared ChatGPT and Gemini AI in addressing guideline-based and clinical scenario questions related to AS.
View Article and Find Full Text PDFJACC Asia
September 2025
Department of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou, Zhejiang, China; Heart Regeneration and Repair Key Laboratory of Zhejiang province, Hangzhou, Zhejiang,
Eur Heart J Open
July 2025
Amsterdam UMC Location University of Amsterdam, Department of Experimental Vascular Medicine, Amsterdam Cardiovascular Sciences, Meibergdreef 9, 1105AZ Amsterdam, Netherlands.
Aims: Calcific aortic valve disease is the most common valvular heart disease characterized by an inflammatory response in the leaflets followed by fibro-calcific remodelling of valvular interstitial cells (VICs). Lipoprotein(a) [Lp(a)] is a well-recognized risk factor for CAVD, however the role of metabolism in driving Lp(a)-induced inflammation remains largely elusive. Therefore, we aim to investigate the role of Lp(a) in driving inflammatory and metabolic changes in VICs and examine how alterations in cellular metabolism can alter their inflammatory phenotype.
View Article and Find Full Text PDFJ Cell Mol Med
September 2025
Institute of Cellular Biology and Pathology "Nicolae Simionescu", Bucharest, Romania.
Calcific aortic valve disease (CAVD) is a growing global health burden, with no approved pharmacological treatments to date, indicating a substantial therapeutic gap and the need for deeper insight into its underlying mechanisms. Transcriptomic approaches, particularly RNA sequencing (RNAseq) and single-cell sequencing (scRNAseq), are emerging as powerful tools for unravelling the complex biology of the aortic valve (AV) in both normal and diseased states. This review summarises recent advances in our understanding of AV structure and function, with emphasis on valvular cell plasticity, heterogeneity and intercellular interactions-especially between valvular endothelial cells (VECs) and monocytes under physiological and pathological conditions.
View Article and Find Full Text PDFJ Card Fail
August 2025
University of Groningen, University Medical Centre Groningen, Department of Cardiology and Cardiothoracic Surgery, Heart Centre. Electronic address:
Background: Aortic stenosis leads to increased afterload, which may be detrimental in a failing left ventricle and has been associated with increased risk of heart failure hospitalizations and mortality in chronic heart failure. The prevalence and impact of aortic stenosis in acute heart failure is less well described. This post hoc analysis aimed to evaluate the prevalence and prognostic impact of aortic stenosis in a large cohort of patients hospitalized with acute heart failure.
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