Coronary heart disease is a serious cardiovascular illness. Percutaneous coronary artery stent implantation has become a routine way to treat coronary heart disease. Although studies have shown how a drug-eluting stent could improve the efficacy of clinical treatment, 10~20% of in-stent restenosis is still an important outcome that restricts the clinical efficacy of drug-eluting stent implantations and causes cardiovascular events such as angina pectoris, acute myocardial infarction, and sudden death. The KCa3.1 channel plays an important role in neoatherosclerosis of in-stent restenosis by regulating macrophage function. Recent studies have shown that the KCa3.1 channel, which belongs to the family of calcium-activated potassium channels, plays an important role in the occurrence and development of various inflammatory diseases by regulating cell membrane potentials and calcium signaling in the processes of macrophage migration and mitogen-stimulated vascular smooth muscle cell and fibroblast proliferation. The KCa3.1 channel is activated by elevated intracellular calcium levels. Inhibition of the KCa3.1 channel can effectively slow the progression of arterial plaque rupture and reduce the degree of vascular restenosis, and so substances that can carry out this inhibition are expected to become targeted drugs for the treatment of in-stent neoatherosclerosis. This article reviews the pathological and physiological roles of the KCa3.1 channel and its roles in the disease prognosis of in-stent neoatherosclerosis.
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http://dx.doi.org/10.1007/s00109-019-01814-9 | DOI Listing |
Int J Psychoanal
December 2024
Psychologist, Psychotherapist at CMPP de Courbevoie, Courbevoie, France.
In this article, the author aims to shed new light on how sensoriality can be considered and deployed in the treatment of severely autistic children. Whereas psychoanalysis has explored in detail the defensive function that sensoriality can have for these patients, the author puts forward the idea that this can be used to further the differentiation and structuration of the body ego. Through some detailed clinical material, drawn from the psychotherapy of a five-year-old girl, the author sets out to illustrate how work on the different sensations can lead to relational openings that are initially specific to each sensory channel and then more general, as well as how the access to otherness emerges from this work on sensations.
View Article and Find Full Text PDFIn Vitro Model
February 2024
IFIBYNE-UBA-CONICET, Buenos Aires, Argentina.
In this Highlights article, we present insights into the use of simple cell lines in neuroinflammation research, highlighting key findings from our recent investigations. Simple cell lines, including HEK, PC12, SHSY5Y, and N2a cells, provide valuable insights into critical signaling pathways and hidden facets of the neuroinflammatory landscape. Focusing on specific outcomes, including the impact of interleukin-6 (IL-6) and acid-sensing ion channels (ASIC1a), the study sheds light on neuroinflammatory processes.
View Article and Find Full Text PDFBackground: Social media has become a new channel for information exchange in recent years. WeChat official account (WOA) is now widely adopted by the Center for Disease Control and Prevention (CDC) for successful information distribution and diffusion online. We aimed to identify features of the most popular articles pushed by WOAs of the China's CDC that are associated with article influence.
View Article and Find Full Text PDFFront Nutr
January 2025
Nutrition Institute, Ljubljana, Slovenia.
Objective: Bakery products are considered as one of main dietary sources of sodium/salt in Slovenia. Our main objective was to assess the salt content in bread in Slovenia, focusing into different bread categories and sales channels. The data collected in 2022 was compared with year 2012.
View Article and Find Full Text PDFFront Neurorobot
January 2025
College of Artificial Intelligence, Taiyuan University of Technology, Jinzhong, Shanxi, China.
Accurate building segmentation has become critical in various fields such as urban management, urban planning, mapping, and navigation. With the increasing diversity in the number, size, and shape of buildings, convolutional neural networks have been used to segment and extract buildings from such images, resulting in increased efficiency and utilization of image features. We propose a building semantic segmentation method to improve the traditional Unet convolutional neural network by integrating attention mechanism and boundary detection.
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