Shakunthala Masi^*, Helenprabha Kuttiappan

Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 733-744, 2023, DOI:10.32604/iasc.2023.025919

Abstract In medical science for envisaging human body’s phenomenal structure a major part has been driven by image processing techniques. Major objective of this work is to detect of cerebral atherosclerosis for image segmentation application. Detection of some abnormal structures in human body has become a difficult task to complete with some simple images. For expounding and distinguishing neural architecture of human brain in an effective manner, MRI (Magnetic Resonance Imaging) is one of the most suitable and significant technique. Here we work on detection of Cerebral Atherosclerosis from MRI images of patients. Cerebral Atherosclerosis is a cerebral vascular disease causes… More >

S. Deivanayagi^1,*, P. S. Periasamy²

Intelligent Automation & Soft Computing, Vol.34, No.1, pp. 639-653, 2022, DOI:10.32604/iasc.2022.025632

Abstract Coronary artery disease (CAD) remains a major reason for increased mortality over the globe, comprising myocardial infarction and ischemic cardiomyopathy. The CAD is highly linked to coronary stenosis owing to the encumbrance of atherosclerotic plaques. Particularly, diversified atherosclerotic plaques are highly responsible for major cardiac adverse events over the calcified and non-calcified plaques. There, the recognition and classification of atherosclerotic plaques play a vital role to prevent and intervene in CAD. The process of detecting various class labels of the atherosclerotic plaques is significant to identify the disease at the earlier stages. Since several automated coronary plaque recognition models are… More >

Areej A. Malibari¹, Siwar Ben Haj Hassine², Abdelwahed Motwakel³, Manar Ahmed Hamza^3,*

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2859-2875, 2022, DOI:10.32604/cmc.2022.026338

Abstract Atherosclerosis diagnosis is an inarticulate and complicated cognitive process. Researches on medical diagnosis necessitate maximum accuracy and performance to make optimal clinical decisions. Since the medical diagnostic outcomes need to be prompt and accurate, the recently developed artificial intelligence (AI) and deep learning (DL) models have received considerable attention among research communities. This study develops a novel Metaheuristics with Deep Learning Empowered Biomedical Atherosclerosis Disease Diagnosis and Classification (MDL-BADDC) model. The proposed MDL-BADDC technique encompasses several stages of operations such as pre-processing, feature selection, classification, and parameter tuning. Besides, the proposed MDL-BADDC technique designs a novel Quasi-Oppositional Barnacles Mating Optimizer… More >

HONGXIA HU^*, PING GUO, QIAN ZHAO, HAORAN LI, HUALEI LIU, CAIHONG MA

BIOCELL, Vol.45, No.4, pp. 995-1004, 2021, DOI:10.32604/biocell.2021.012851

Abstract This study aims to detect the expression of selected circulating microRNAs (miRNA), including miRNA-451a, miRNA-486-5p and miR-10b-5p, and their prospective roles as biomarkers in patients with atherosclerosis. For this purpose, levels of miRNAs were detected by real-time quantitative polymerase chain reaction (RT-qPCR) in case (N = 30) and healthy control (N = 30) groups. Receiver operating characteristic (ROC) curve analysis was carried out to evaluate the diagnostic ability of miRNAs. The correlations of miR-451a with lipid parameters were evaluated using Pearson’s correlation coefficients. HUVEC tested by ox-LDL was used as a cellular model of atherosclerosis. Cell viability and apoptosis were… More >

Sotiria C. Apostolopoulou^1,*, Stella Brili², Eftihia Sbarouni³, Dimitris Tousoulis², Konstantinos Toutouzas²

Congenital Heart Disease, Vol.15, No.5, pp. 369-375, 2020, DOI:10.32604/CHD.2020.012092

Abstract Objective: Acquired coronary artery disease, initially thought to rarely affect survivors of congenital heart disease, is increasingly recognized in this population, as these patients grow in age and numbers in the recent era. This study reports our experience with coronary artery disease in adults with congenital heart disease and discusses treatment issues and the existing literature. Methods: Retrospective review of all charts of adults with congenital heart disease and acquired coronary artery disease was performed. Patients’ clinical characteristics, diagnosis, risk factors, noninvasive and invasive imaging and management data were recorded. Results: Coronary artery disease was diagnosed at 35–70 of age… More >

MEHMET TASPINAR^1,2,*, ALIHAN BOZOGLAN^3,4, ABDULLAH SECKIN ERTUGRUL⁵, LEVENT ELMAS⁶

BIOCELL, Vol.44, No.3, pp. 337-344, 2020, DOI:10.32604/biocell.2020.011470

Abstract This study was carried out to compare individuals diagnosed with atherosclerosis and periodontal periodontitis based on the degree of change in the human beta-defensins (HBD) HBD-2, HBD-3, and calprotectin. Atherosclerosis is the most frequently observed cardiovascular disease. Dental and periodontal infections are known to provide a considerable basis for atheroma plaque formation. The study group consists of a total number of 40 subjects, with 20 patients diagnosed with atherosclerosis and chronic periodontitis and 20 systemically healthy patients diagnosed with chronic periodontitis. Clinical periodontal and blood parameters and HBD-2, HBD-3, and calprotectin biomarkers in the gingival crevicular fluid were measured. In… More >

LEI ZHONG¹, LEI GUO¹, ZHISHUAI YE², SHANFENG ZHANG³, RONGCHONG HUANG^2,*

BIOCELL, Vol.44, No.2, pp. 225-236, 2020, DOI:10.32604/biocell.2020.08714

Abstract Studies have found that a large number of inflammatory cells, P-selectin, and mature dendritic cells (DCs) are expressed in the damaged and shoulder parts of atherosclerotic plaque, which demonstrates that P-selectin and mature DCs participate in the immune inflammatory response leading to the development of atherosclerosis. However, it is unclear how the above factors interact in this setting. In this study, we investigated the role of P-selectin and its receptor, P-selectin glycoprotein ligand (PSGL)-1 in atherosclerosis, with the finding that DC surface marker expression was consistently high in the P-selectin group while consistently low in the PGSL-1 + DCs group,… More >

Jianxiong Xu¹, Lu Wang¹, Jinxuan Wang¹, Juhui Qiu^1,*, Guixue Wang^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 142-142, 2019, DOI:10.32604/mcb.2019.07273

Abstract Endothelial cell injured or dysfunction, which results lipid deposition and inflammation, is the key point to exacerbate the process of atherosclerosis [1, 2]. Meanwhile oscillatory shear stress is a key factor that results cell dysfunction in vascular disease [3, 4]. Previous research reported that P2Y12 plays a critical role in the development of atherosclerotic lesion through promoting smooth muscle cells migration [5]. As well P2Y12 stimulated the internalization and transendothelial transport of high density lipid. However, whether the P2Y12 induce atherosclerosis through endothelial cell remain elusive. In this study we firstly found P2Y12 were expressed in endothelial cells of atheroprone… More >

Pingping Ma¹, Wanqian Liu^1,*, Li Yang^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 95-95, 2019, DOI:10.32604/mcb.2019.07363

Abstract Globally, consumption of sodium (5.8 g per day) was far above the optimal levels (2.3 g per day). High intake of sodium was the leading dietary risk factor for deaths, which caused by cardiovascular disease [1]. Nevertheless, how high-salt intake leads to the occurrence of many cardiovascular diseases such as atherosclerosis is still not very clear. Dmitrieva has reported that elevated sodium concentration promoted thrombogenesis by activating the signal pathway of NFAT5 (nuclear factor of activated T cells 5), a transcription factor which orchestrates cellular defense against osmotic stress [2]. Inflammatory is accompanied with the entire development process of atherosclerosis.… More >

Peirong Jiang¹, Zhensen Chen², Daniel S. Hippe², Hiroko Watase³, Bin Sun¹, Ruolan Lin¹, Zheting Yang¹, Yunjing Xue^1,*, Xihai Zhao^4,*, Chun Yuan^2,4

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 34-35, 2019, DOI:10.32604/mcb.2019.07394

Abstract This article has no abstract. More >