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  • Open Access

    REVIEW

    Mitochondrial Stress, Melatonin, and Neurodegenerative Diseases: New Nanopharmacological Approaches

    Virna Margarita Martín Giménez1, SebastiáN GarcíA MenéNdez2,3, Luiz Gustavo A. Chuffa4, Vinicius Augusto SimãO4, Russel J. Reiter5, Ramaswamy Sharma6, Walter Balduini7, Carla Gentile8, Walter Manucha2,3,*

    BIOCELL, Vol.49, No.12, pp. 2245-2282, 2025, DOI:10.32604/biocell.2025.071830 - 24 December 2025

    Abstract Neurodegenerative diseases (NDs) such as Alzheimer’s disease (AD), Parkinson’s disease (PD), Huntington’s disease (HD), and amyotrophic lateral sclerosis (ALS) are characterized by progressive neuronal loss, which is closely linked to mitochondrial dysfunction. These pathologies involve a complex interplay of genetics, protein misfolding, and cellular stress, culminating in impaired energy metabolism, an increase in reactive oxygen species (ROS), and defective mitochondrial quality control. The accumulation of damaged mitochondria and dysregulation of pathways such as the Integrated Stress Response (ISR) are central to the pathogenesis of these conditions. This review explores the critical relationship between mitochondrial stress… More >

  • Open Access

    REVIEW

    It’s in the blood: plasma as a source for biochemical identification and biological characterization of novel leukocyte chemoattractants

    Jo Van Damme1, Stijn Van Damme2, Soffe Struyf1, Ghislain Opdenakker3

    European Cytokine Network, Vol.36, No.1, pp. 6-14, 2025, DOI:10.1684/ecn.2025.0501

    Abstract Since their discovery, chemotactic cytokines or chemokines have been intensively studied for about half a century. Chemokines originate from tissue cells, leukocytes, blood platelets and plasma. Here, we review a number of seminal findings on plasma chemokines within an historical and international context. These aspects include how induction and purification protocols led to the discovery of a new family of mediators, named chemokines, on the basis of protein sequencing; how molecular cloning techniques facilitated discoveries of additional family members on the basis of conserved protein structures; how blood plasma and platelets were used as a More >

  • Open Access

    ARTICLE

    A Lightweight Explainable Deep Learning for Blood Cell Classification

    Ngoc-Hoang-Quyen Nguyen1, Thanh-Tung Nguyen2, Anh-Cang Phan3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2435-2456, 2025, DOI:10.32604/cmes.2025.070419 - 26 November 2025

    Abstract Blood cell disorders are among the leading causes of serious diseases such as leukemia, anemia, blood clotting disorders, and immune-related conditions. The global incidence of hematological diseases is increasing, affecting both children and adults. In clinical practice, blood smear analysis is still largely performed manually, relying heavily on the experience and expertise of laboratory technicians or hematologists. This manual process introduces risks of diagnostic errors, especially in cases with rare or morphologically ambiguous cells. The situation is more critical in developing countries, where there is a shortage of specialized medical personnel and limited access to… More > Graphic Abstract

    A Lightweight Explainable Deep Learning for Blood Cell Classification

  • Open Access

    ARTICLE

    Associations of systemic immune-inflammation index, product of platelet, and neutrophil count, with the pathological grade of bladder cancer

    Lihao Zhang1,2, Lin Cao1,2, Lige Huang1,2, Jie Wang1,2, Jiabing Li2,3,*

    Canadian Journal of Urology, Vol.32, No.5, pp. 457-468, 2025, DOI:10.32604/cju.2025.067364 - 30 October 2025

    Abstract Background: Studies have indicated an association between inflammatory factors (IFs) in the blood and the development of bladder cancer (BC). This study aimed to explore the correlation and clinical significance of IFs with the pathological grading of BC. Methods: A retrospective analysis was conducted on the preoperative blood routine results, postoperative pathological findings, and baseline information of 163 patients. Patients were divided into high-grade and low-grade groups based on pathological grading. Group comparisons and logistic regression analyses were performed using R software version 4.1.3 to explore the relationships between IFs and BC pathological grading. Results: The… More >

  • Open Access

    ARTICLE

    Comparative Analysis of Nano-Blood Flow in Mild to Severe Multiple Constricted Curved Arteries

    Sehrish Bibi1,*, Vincenzo Minutolo2, Obaid Ullah Mehmood3, Renato Zona2

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.10, pp. 2473-2493, 2025, DOI:10.32604/fdmp.2025.072470 - 30 October 2025

    Abstract Arterial stenosis is a critical condition with increasing prevalence among pediatric patients and young adults, making its investigation highly significant. Despite extensive studies on blood flow dynamics, limited research addresses the combined effects of nanoparticles and arterial curvature on unsteady pulsatile flow through multiple stenoses. This study aims to analyze the influence of nanoparticles on blood flow characteristics in realistic curved arteries with mild to severe overlapped constrictions. Using curvilinear coordinates, the thermal energy and momentum equations for nanoparticle-laden blood were derived, and numerical results were obtained through an explicit finite difference method. Key findings More >

  • Open Access

    ARTICLE

    A Hybrid CNN-Transformer Framework for Normal Blood Cell Classification: Towards Automated Hematological Analysis

    Osama M. Alshehri1, Ahmad Shaf2,*, Muhammad Irfan3,*, Mohammed M. Jalal4, Malik A. Altayar4, Mohammed H. Abu-Alghayth5, Humood Al Shmrany6, Tariq Ali7, Toufique A. Soomro8, Ali G. Alkhathami9

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 1165-1196, 2025, DOI:10.32604/cmes.2025.067150 - 31 July 2025

    Abstract Background: Accurate classification of normal blood cells is a critical foundation for automated hematological analysis, including the detection of pathological conditions like leukemia. While convolutional neural networks (CNNs) excel in local feature extraction, their ability to capture global contextual relationships in complex cellular morphologies is limited. This study introduces a hybrid CNN-Transformer framework to enhance normal blood cell classification, laying the groundwork for future leukemia diagnostics. Methods: The proposed architecture integrates pre-trained CNNs (ResNet50, EfficientNetB3, InceptionV3, CustomCNN) with Vision Transformer (ViT) layers to combine local and global feature modeling. Four hybrid models were evaluated on… More >

  • Open Access

    ARTICLE

    Time-Course of Changes in Astrocyte Endfeet Damage in the Hippocampus Following Experimental Ischemia and Reperfusion Injury

    Myoung Cheol Shin1, Tae-Kyeong Lee2, Dae Won Kim3, Joon Ha Park4, Moo-Ho Won1, Choong-Hyun Lee5,*, Ji Hyeon Ahn6,*

    BIOCELL, Vol.49, No.6, pp. 1071-1083, 2025, DOI:10.32604/biocell.2025.065506 - 24 June 2025

    Abstract Background: Astrocyte endfeet (AEF) serves as a key element of the blood-brain barrier and is important for the survival and maintenance of neuronal function. However, the immunohistochemical and ultrastructural changes of AEF in the CA1 and CA3 areas of the hippocampus over time following cerebral ischemia-reperfusion (IR) injury have not been well elucidated. Objectives: We investigated chronological changes in AEF in the gerbil hippocampal CA1 area from 3 h to 10 days following transient forebrain ischemia (TFI), and examined their association with neuronal death and tissue repair following IR injury. Changes in the CA3 area… More >

  • Open Access

    ARTICLE

    Exploring the correlation and mechanism of natural killer cell cytotoxic sensitivity against gastric cancer

    WENZHUO YANG1,#, HAODONG CHEN2,#, ZHILAN ZHANG3, ZHIYONG XIA3, YUANYUAN JIN1,*, ZHAOYONG YANG1,*

    Oncology Research, Vol.33, No.6, pp. 1485-1494, 2025, DOI:10.32604/or.2025.059426 - 29 May 2025

    Abstract Background: Human natural killer (NK) cells have attracted widespread attention as a potential adoptive cell therapy (ACT). However, the therapeutic effects of NK cell infusion in patients with solid tumors are limited. There is an urgent need to explore a suitable new treatment plan to overcome weaknesses and support the superior therapeutic activity of NK cells. Methods: In this study, the mechanisms underlying the susceptibility of gastric cancer (GC) cell lines AGS, HGC-27, and NCI-N87 to NK cell-mediated cytotoxicity were explored. Results: Lactic dehydrogenase (LDH) release assays showed that all three GC cell lines were susceptible… More >

  • Open Access

    ARTICLE

    Feature Engineering Methods for Analyzing Blood Samples for Early Diagnosis of Hepatitis Using Machine Learning Approaches

    Mohamed A.G. Hazber1,*, Ebrahim Mohammed Senan2,3, Hezam Saud Alrashidi1

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 3229-3254, 2025, DOI:10.32604/cmes.2025.062302 - 03 March 2025

    Abstract Hepatitis is an infection that affects the liver through contaminated foods or blood transfusions, and it has many types, from normal to serious. Hepatitis is diagnosed through many blood tests and factors; Artificial Intelligence (AI) techniques have played an important role in early diagnosis and help physicians make decisions. This study evaluated the performance of Machine Learning (ML) algorithms on the hepatitis data set. The dataset contains missing values that have been processed and outliers removed. The dataset was counterbalanced by the Synthetic Minority Over-sampling Technique (SMOTE). The features of the data set were processed… More >

  • Open Access

    REVIEW

    Biomarkers for predicting bladder cancer therapy response

    IOANA MARIA MIHAI1, GANG WANG1,2,*

    Oncology Research, Vol.33, No.3, pp. 533-547, 2025, DOI:10.32604/or.2024.055155 - 28 February 2025

    Abstract The advent of precision medicine has underscored the importance of biomarkers in predicting therapy response for bladder cancer, a malignancy marked by considerable heterogeneity. This review critically examines the current landscape of biomarkers to forecast treatment outcomes in bladder cancer patients. We explore a range of biomarkers, including genetic, epigenetic, proteomic, and transcriptomic indicators, from multiple sample sources, including urine, tumor tissue and blood, assessing their efficacy in predicting responses to chemotherapy, immunotherapy, and targeted therapies. Despite promising developments, the translation of these biomarkers into clinical practice faces significant challenges, such as variability in biomarker More >

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