KERAN JIA¹, YANHAO ZHANG¹, MENGYU JIANG², MENGGE CUI², JIA WANG², JIAJIA ZHANG², HUIHAI ZHAO², MENGYAN LI², HUA WANG², QUANMING ZOU^1,#,*, HAO ZENG^1,#,*

BIOCELL, Vol.48, No.9, pp. 1355-1368, 2024, DOI:10.32604/biocell.2024.051383 - 04 September 2024

Abstract Objective: Candida albicans is a common fungal pathogen that triggers complex host defense mechanisms, including coordinated innate and adaptive immune responses, to neutralize invading fungi effectively. Exploring the immune microenvironment has the potential to inform the development of therapeutic strategies for fungal infections. Methods: The study analyzed individual immune cell profiles in peripheral blood mononuclear cells from Candida albicans-infected mice and healthy control mice using single-cell transcriptomics, fluorescence quantitative PCR, and Western blotting. We investigated intergroup differences in the dynamics of immune cell subpopulation infiltration, pathway enrichment, and differentiation during Candida albicans infection. Results: Our findings indicate that infiltration… More >

Mohammad Reza Haghshenas¹, Mina Roshan Zamir¹, Mahboubeh Sadeghi¹, Mohammad Javad Fattahi¹, Kimia Mirshekari¹, Abbas Ghaderi^1,2,*

European Cytokine Network, Vol.33, No.3, pp. 54-69, 2022, DOI:10.1684/ecn.2022.0480

Abstract Interleukin-38 (IL-38) is the most recent member of the IL-1 family that acts as a natural inflammatory inhibitor by binding to cognate receptors, particularly the IL-36 receptor. In vitro, animal and human studies on autoimmune, metabolic, cardiovascular and allergic diseases, as well sepsis and respiratory viral infections, have shown that IL-38 exerts an anti-inflammatory activity by modulating the generation and function of inflammatory cytokines (e.g. IL-6, IL-8, IL-17 and IL-36) and regulating dendritic cells, M2 macrophages and regulatory T cells (Tregs). Accordingly, IL-38 may possess therapeutic potential for these types of diseases. IL-38 down-regulates CCR3+… More >

Azadeh Nazemi, Jesse Persily, James S. Wysock

Canadian Journal of Urology, Vol.29, No.6, pp. 11366-11370, 2022

Abstract Introduction: To consolidate reported information on presentation, diagnosis, and treatment modalities in testicular schistosomiasis (TS) to provide a reference tool for this rare disease.
Materials and methods: A comprehensive PubMed search was performed using PRISMA guidelines, which yielded 21 articles detailing 22 cases of TS.
Results: Testicular schistosomiasis remains a rare disease, presenting at a variety of ages (median age 27). All reports of this condition are associated with exposure to an endemic area. The most common presenting symptoms include nonspecific testicular swelling (54.5%) followed by a testicular mass/nodule (18.4%). Diagnosis relies upon clinical suspicion due to low… More >

Jeffrey Lee, Elie Kaplan-Marans, Dhaval Jivanji, Daniel Tennenbaum, Ariel Schulman

Canadian Journal of Urology, Vol.29, No.6, pp. 11361-11365, 2022

Abstract Introduction: Flexible cystoscopes can be multi-use devices that visually inspect genitourinary structures such as the bladder and urethra. The objective of this study is to characterize the adverse events and associated device malfunctions of reusable flexible cystoscopes and to provide information on contamination and post-procedural infections.
Materials and methods: The Manufacturer and User Facility Device Experience (MAUDE) database was queried for all adverse events and device malfunctions related to the use of flexible cystoscopes between January 2015 and December 2020. The MAUDE adverse event classification system was used to standardize the severity of complications and special focus… More >

Ahmed ElShafee¹, Walid El-Shafai², Abdulaziz Alarifi^3,*, Mohammed Amoon³, Aman Singh⁴, Moustafa H. Aly⁵

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4157-4177, 2022, DOI:10.32604/cmc.2022.028847 - 16 June 2022

Abstract Real-time disease prediction has emerged as the main focus of study in the field of computerized medicine. Intelligent disease identification framework can assist medical practitioners in diagnosing disease in a way that is reliable, consistent, and timely, successfully lowering mortality rates, particularly during endemics and pandemics. To prevent this pandemic’s rapid and widespread, it is vital to quickly identify, confine, and treat affected individuals. The need for auxiliary computer-aided diagnostic (CAD) systems has grown. Numerous recent studies have indicated that radiological pictures contained critical information regarding the COVID-19 virus. Utilizing advanced convolutional neural network (CNN)… More >

DOMENICO MARIA CARRETTA^1,§, MARINA DI DOMENICO^2,§, ROBERTO LOVERO³, ROBERTO ARRIGONI⁴, ANGELIKA ELZBIETA WEGIERSKA⁵, MARIAROSARIA BOCCELLINO^2,*, ANDREA BALLINI^2,6,*, IOANNIS ALEXANDROS CHARITOS^7,#, LUIGI SANTACROCE^5,#

BIOCELL, Vol.46, No.8, pp. 1779-1788, 2022, DOI:10.32604/biocell.2022.020009 - 22 April 2022

Abstract The existence of an inflammatory process in the heart muscle, related to a progressive worsening of myocardial function, different etiopathogenetic mechanisms concur and often overlap, thus making the diagnosis and the therapeutic approach complex. As the COVID-19 pandemic progresses, the effects of the disease on the organ systems and in particular on the cardiovascular system are becoming more and more profound. Cardiac involvement is a well-known event with a high percentage of findings in the heart’s magnetic field, even in asymptomatic areas. There are numerous uncertainties regarding their evolution, in the long and short term,… More >

Ashraf Ahmed¹, Yousef AbuHour^2,*, Ammar El-Hassan¹

Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 979-990, 2022, DOI:10.32604/iasc.2022.020726 - 17 November 2021

Abstract The Corona (COVID-19) epidemic has triggered interest in many fields of technology, medicine, science, and politics. Most of the mathematical research in this area focused on analyzing the dynamics of the spread of the virus. In this article, after a review of some current methodologies, a non-linear system of differential equations is developed to model the spread of COVID-19. In order to consider a wide spectrum of scenarios, we propose a susceptible-exposed-infected-quarantined-recovered (SEIQRS)-model which was analyzed to determine threshold conditions for its stability, and the number of infected cases that is an infected person will… More >

Ross G. Everett, David K. Charles, Halle E. Foss, R. Corey O’Connor, Michael L. Guralnick

Canadian Journal of Urology, Vol.28, No.6, pp. 10920-10928, 2021

Abstract Introduction: Urinary Tract Infection (UTI) has been cited as the primary cause of morbidity in patients with a history of spinal cord injury (SCI). Despite the significance of recurrent UTI (rUTI) in this population, the causative physiologic and patient characteristics are not well described. We sought to assess associations between demographic, clinical, and urodynamic variables and rUTI.
Materials and methods: The records of 136 individuals with SCI who perform clean intermittent catheterization (CIC) were retrospectively reviewed. All had a video urodynamics study (VUDS) available for analysis. Individuals were divided into non-recurrent (< 3/year) or rUTI (≥ 3/year)… More >

Muhammad Ramzan¹, Mudassar Raza¹, Muhammad Sharif¹, Muhammad Attique Khan², Yunyoung Nam^3,*

CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3239-3257, 2021, DOI:10.32604/cmc.2021.015920 - 24 August 2021

Abstract Automatic gastrointestinal (GI) tract disease recognition is an important application of biomedical image processing. Conventionally, microscopic analysis of pathological tissue is used to detect abnormal areas of the GI tract. The procedure is subjective and results in significant inter-/intra-observer variations in disease detection. Moreover, a huge frame rate in video endoscopy is an overhead for the pathological findings of gastroenterologists to observe every frame with a detailed examination. Consequently, there is a huge demand for a reliable computer-aided diagnostic system (CADx) for diagnosing GI tract diseases. In this work, a CADx was proposed for the… More >

Muhammad Attique Khan¹, Abdul Majid¹, Nazar Hussain¹, Majed Alhaisoni², Yu-Dong Zhang³, Seifedine Kadry⁴, Yunyoung Nam^5,*

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3381-3399, 2021, DOI:10.32604/cmc.2021.014983 - 01 March 2021

Abstract In the area of medical image processing, stomach cancer is one of the most important cancers which need to be diagnose at the early stage. In this paper, an optimized deep learning method is presented for multiple stomach disease classification. The proposed method work in few important steps—preprocessing using the fusion of filtering images along with Ant Colony Optimization (ACO), deep transfer learning-based features extraction, optimization of deep extracted features using nature-inspired algorithms, and finally fusion of optimal vectors and classification using Multi-Layered Perceptron Neural Network (MLNN). In the feature extraction step, pre-trained Inception V3… More >