Article
Urology & Nephrology
Xinfang Xie, Jingyi Li, Pan Liu, Manliu Wang, Li Gao, Feng Wan, Jicheng Lv, Hong Zhang, Jing Jin
Summary: We constructed a chimeric fusion of IgA protease with Fc and demonstrated its long-lasting efficacy as a promising targeted therapy for IgA nephropathy in mouse models.
JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY
(2022)
Article
Urology & Nephrology
Xue Zhang, Jicheng Lv, Pan Liu, Xinfang Xie, Manliu Wang, Dan Liu, Hong Zhang, Jing Jin
Summary: Poly-IgA immune complex formation and glomerular deposition play a key role in IgA nephropathy, and a novel ELISA method using recombinant CD89 for detecting these complexes was successfully established. Levels of poly-IgA were significantly higher in IgA nephropathy patients compared to healthy controls and non-IgA nephropathy controls. The poly-IgA index was associated with kidney function and response to treatment, showing good discrimination between IgA nephropathy and healthy controls.
CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY
(2021)
Article
Oncology
Xinfang Xie, Pan Liu, Li Gao, Xue Zhang, Ping Lan, Vanesa Bijol, Jicheng Lv, Hong Zhang, Jing Jin
Summary: The study investigated the dynamics of IgA deposition, tissue plasticity, and intrarenal clearance. A synthetic model demonstrated the balance between renal deposition and clearance, as well as the glomerular plasticity towards healing, suggesting a priming effect of existing deposits in promoting stronger and longer-lasting IgA deposition to cause renal damage.
JOURNAL OF PATHOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Fabian Bohlaender, Sabrina Weissmueller, Dennis Riehl, Marcus Gutscher, Joerg Schuettrumpf, Stefanie Faust
Summary: The study aims to investigate the functional aspects of the IgA component in trimodulin, a new plasma-derived polyvalent immunoglobulin preparation, and demonstrates its potent immunomodulatory and anti-pathogenic effects, especially on neutrophil function.
Article
Pharmacology & Pharmacy
Hongfen Li, Youxia Liu, Huyan Yu, Fanghao Wang, Junya Jia, Tiekun Yan, Shan Lin
Summary: The mRNA levels of activating Fc receptors of IgG were found to be significantly increased in IgAN patients, indicating a potential association with the severity of the disease.
THERAPEUTIC ADVANCES IN CHRONIC DISEASE
(2022)
Article
Urology & Nephrology
Jicheng Lv, Lijun Liu, Chuanming Hao, Guisen Li, Ping Fu, Guangqun Xing, Hongguang Zheng, Nan Chen, Caili Wang, Ping Luo, Deqiong Xie, Li Zuo, Rongshan Li, Yonghui Mao, Shaoshao Dong, Pengfei Zhang, Huixiao Zheng, Yue Wang, Wei Qin, Wenxiang Wang, Lin Li, Wenjuan Jiao, Jianmin Fang, Hong Zhang
Summary: This study evaluated the efficacy and safety of Telitacicept in patients with IgAN. The results showed that Telitacicept treatment led to a significant reduction in proteinuria and a reduced risk for future kidney disease progression.
KIDNEY INTERNATIONAL REPORTS
(2023)
Article
Medicine, General & Internal
Camille Cohen, Severine Coulon, Kanit Bhukhai, Antoine Neuraz, Michael Dussiot, Guillemette Fouquet, Marie-Benedicte Le Stang, Martin Flamant, Francois Vrtovsnik, Aurelie Hummel, Bertrand Knebelmann, Laurent Mesnard, Eric Rondeau, Thiago T. Maciel, Fabrizia Favale, Nicole Casadevall, Thao Nguyen-Khoa, Stephane Moutereau, Christophe Legendre, Marc Benhamou, Renato C. Monteiro, Olivier Hermine, Khalil El Karoui, Ivan C. Moura
Summary: The involvement of IgA1 in unexplained polycythemia/erythrocytosis (PE) of IgA nephropathy (IgAN) patients was evaluated in this study. It was found that IgA1 plays a role in regulating erythropoiesis and elevated IgA1 levels increase the sensitivity of erythroid progenitors to Epo.
Article
Multidisciplinary Sciences
Alec W. Freyn, Julianna Han, Jenna J. Guthmiller, Mark J. Bailey, Karlynn Neu, Hannah L. Turner, Victoria C. Rosado, Veronika Chromikova, Min Huang, Shirin Strohmeier, Sean T. H. Liu, Viviana Simon, Florian Krammer, Andrew B. Ward, Peter Palese, Patrick C. Wilson, Raffael Nachbagauer
Summary: This study utilized a panel of IgA monoclonal antibodies isolated from donors post-influenza vaccination to study binding and functional specificities of the isotype. Results showed that IgA antibodies targeting the hemagglutinin protein were primarily elicited, and there were differences in Fc-effector activity based on the specific receptors involved in the signaling pathways.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Review
Immunology
Yoshihito Nihei, Hitoshi Suzuki, Yusuke Suzuki
Summary: Immunoglobulin A (IgA) is the most abundant isotype of antibodies that plays a key role in defending against pathogens at mucosal surfaces. Although considered non-inflammatory, IgA can also cause diseases such as IgA nephropathy and IgA vasculitis.
FRONTIERS IN IMMUNOLOGY
(2023)
Review
Medicine, General & Internal
Evangeline Pillebout
Summary: Many authors have suggested that IgA Vasculitis and IgA Nephropathy may be two different clinical manifestations of the same disease, but larger clinical studies are needed to explore further. Limited studies have been conducted on these two diseases, and therapeutic trials often exclude patients with both conditions.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Immunology
Amelie Bos, Esil Aleyd, Lydia P. E. van der Steen, P. J. Winter, Niels Heemskerk, Stephan M. Pouw, Louis Boon, Rene J. P. Musters, Jantine E. Bakema, Cassian Sitaru, Michel Cogne, Marjolein van Egmond
Summary: IgA autoantibodies may play a role in autoimmune or chronic inflammatory diseases. A novel IgA autoimmune blistering model using genetically modified mice showed that IgA anti-collagen XVII could activate neutrophils and cause tissue damage, while treatment with anti-Fc alpha RI monoclonal antibodies prevented and resolved the disease.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Immunology
Myrthe A. M. van Delft, Esil Aleyd, Richard van der Mast, Niels de Jong, Louis Boon, Peter J. Simons, Marjolein van Egmond
Summary: This study demonstrates that newly developed anti-CD89 monoclonal antibodies can inhibit IgA-induced neutrophil activation and reduce IgA-induced neutrophil influx, providing support for the clinical development of LABD treatment.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Medicine, Research & Experimental
Negin Farzamikia, Behzad Baradaran, Soroush Mostafavi, Elham Ahmadian, Seyed Mahdi Hosseiniyan Khatibi, Sepideh Zununi Vahed, Mohammadreza Ardalan
Summary: Microparticles are vesicles released into the extracellular environment derived from cell plasma membranes, facilitating intercellular communication through the transfer of various lipids, cytosolic proteins, RNA, and microRNAs. The progression of diseases can affect the composition and function of these cell-derived particles, with podocyte injury playing a significant role in the pathophysiology of various glomerular diseases including IgA nephropathy.
BIOMEDICINE & PHARMACOTHERAPY
(2021)
Article
Pediatrics
Nan Zhou, Hui Wang, Xin-yu Wang, Ye-ping Jiang, Qian Fu, Ying Liang, Guo-shuang Feng
Summary: We analyzed the demographic and clinical characteristics of children with immunoglobulin A (IgA) nephropathy using data in the first pages of electronic health records. This is a large sample, multi-center study. The incidence of IgA nephropathy in males increased gradually with age. Age was an important factor affecting CKD. The disease was related to environment and economic status.
PEDIATRIC RESEARCH
(2023)
Article
Biochemistry & Molecular Biology
Barbara Moszczuk, Natalia Krata, Witold Rudnicki, Bartosz Foroncewicz, Dominik Cysewski, Leszek Paczek, Beata Kaleta, Krzysztof Mucha
Summary: This study investigates osteopontin (OPN) as a potential biomarker in nephrology. Using machine learning, urinary OPN levels were found to accurately differentiate between immunoglobulin A nephropathy (IgAN) and other glomerulopathies (GNs). However, the discrimination of membranous nephropathy (MN) and lupus nephritis (LN) was less effective. OPN appears to be a valuable biomarker for identifying IgAN patients and should be further validated in future studies.
Article
Computer Science, Software Engineering
Umar Shoaib, Muhammad Junaid Arshad, Hasan Ali Khattak, Maryam Ezat Ullah, Ahmad Almogren, Sikandar Ali
Summary: Nowadays, telecommunication devices, IoT sensors, and web services are generating massive amounts of big data every second. Cloud computing provides a solution to access and process these data quickly, especially for real-time applications. The proposed genetic algorithm-based technique improves the efficiency of cloud servers by reducing data access time and providing quality of service to end users.
SCIENTIFIC PROGRAMMING
(2022)
Article
Computer Science, Information Systems
Kamran Habib Khan, Ikram Ud Din, Ahmad Almogren, Hasan Ali Khattak, Muhammad Ibrahim, Shah Nazir
Summary: Secure delegation plays a key role in collaborative and dynamic systems, and requires a flexible model to address the challenges of access control and usage control services. This study proposes a security service model that restricts the delegation of sensitive permission and unauthorized access to resources, achieving delegation of rights and protecting information privacy.
SECURITY AND COMMUNICATION NETWORKS
(2022)
Article
Chemistry, Analytical
Wajahat Ali, Ikram Ud Din, Ahmad Almogren, Byung-Seo Kim
Summary: This research proposes a privacy-preserving method for smart grid-based home area networks (HAN), using encryption and hash functions to aggregate diverse household appliance data, aiming to address privacy concerns in smart homes.
Article
Computer Science, Information Systems
Ikram Ud Din, Aniqa Bano, Kamran Ahmad Awan, Ahmad Almogren, Ayman Altameem, Mohsen Guizani
Summary: The increasing usage of the Internet has improved the quality of trust in the Internet of Things (IoT). Trust plays a crucial role in providing a secure environment for users to share private information and enable easy and trustworthy data exchange among IoT devices. Trust management is essential for secure data transmission in a large-scale IoT network, and a lightweight approach called LightTrust is proposed to address security issues in Industrial IoT nodes. LightTrust utilizes a centralized trust agent to generate and manage trust certificates, and direct observations and recommendations are used to develop trust between nodes. Comparative simulations demonstrate the effectiveness and resilience of the proposed approach.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Kamran Ahmad Awan, Ikram Ud Din, Ahmad Almogren, Hasan Ali Khattak, Joel J. P. C. Rodrigues
Summary: The Internet of Things (IoT) is revolutionizing the world by making surrounding devices smart and capable of performing daily-life activities with precision. IoT and healthcare collaborate to provide notable facilities in patient monitoring. However, the identification of malicious and compromised nodes remains a critical challenge. This article proposes a machine learning-based trust management approach for edge nodes to detect nodes with malicious behavior. The approach utilizes knowledge and experience components of trust and collects recommendations from edge clouds to evaluate indirect and aggregated trust.
Article
Green & Sustainable Science & Technology
Mudassar Ali Khan, Ikram Ud Din, Ahmad Almogren
Summary: Digital healthcare services have grown significantly in the past ten years, with new technologies being examined to provide efficient and secure services. The Internet of Medical Things (IoMT) creates an interconnected and efficient network for healthcare. User authentication for sustainable IoT solutions is still an area that requires further research, and this paper proposes a novel graphical authentication scheme that uses multiple factors for user registration and authentication. Evaluation of the proposed scheme showed improved system quality, information quality, interface quality, and overall quality compared to PIN-based and pattern-based authentication techniques.
Article
Green & Sustainable Science & Technology
Mudassar Ali Khan, Ikram Ud Din, Byung-Seo Kim, Ahmad Almogren
Summary: Remote patient monitoring (RPM) is a crucial tool for healthcare professionals, especially for patients with chronic illnesses. The visualization method suggested in this article enables real-time examination of data gathered by Internet of Medical Things (IoMT) devices. The outcome of assessments reveals the usability and effectiveness of the suggested visualization system.
Article
Engineering, Multidisciplinary
Abdul Rehman, Kamran Ahmad Awan, Ikram Ud Din, Ahmad Almogren, Mohammed Alabdulkareem
Summary: The Internet of Things (IoT) is a network of smart devices with internet connectivity that sends and receives data to reduce human dependence. However, the rapid growth of IoT devices raises security and privacy concerns. To address this, a lightweight trust management mechanism called FogTrust is proposed. It has a multi-layer architecture and uses encryption to ensure a trustworthy environment. The simulation results demonstrate its effectiveness in assigning low trust degrees to malicious nodes in various scenarios.
Article
Computer Science, Information Systems
Kamran Ahmad Awan, Ikram Ud Din, Ahmad Almogren, Byung-Seo Kim
Summary: In the rapidly evolving landscape of distributed systems, this paper proposes an innovative trust-based resource allocation framework to address the challenges posed by network node attacks. It introduces a reputation system, decentralized trust management system, and proof-of-trust consensus mechanism to enhance security and collaboration in the metaverse. Simulation results demonstrate the effectiveness of this approach in reducing latency, improving scalability, and detecting malicious nodes.
Article
Computer Science, Information Systems
Ikram Ud Din, Kamran Ahmad Awan, Ahmad Almogren
Summary: This paper introduces an innovative Context-Aware Cognitive Memory Trust Management System (CACMTM) tailored for Intelligent Cyber-Physical Transportation Systems (ICPTS). The system utilizes game theory to model trust interactions and integrates various trust constituents into a dependable solution, specifically addressing the unique demands of ICPTS. It incorporates a cognitive memory-based trust management method for IoT in the metaverse and employs a multi-dimensional trust evaluation model to minimize the risk of false trust evaluation outcomes. The proposed system also integrates a blockchain-secured logging mechanism for enhanced security, transparency, and accountability.
Article
Computer Science, Information Systems
Kamran Ahmad Awan, Ikram Ud Din, Mahdi Zareei, Ahmad Almogren, Byung Seo-Kim, Jesus Arturo Perez-Diaz
Summary: The Internet of Things (IoT) has transformed the world through its various applications and smart connected devices. However, the independence of these devices raises concerns about security and privacy. To address this, the proposed FedTrust approach uses federated learning to identify malicious and compromised nodes in IoT networks. FedTrust trains edge nodes with a provided dataset and forms a global model to predict abnormal behavior. The approach utilizes a novel trust dataset with 19 trust parameters and employs the concept of communities for more efficient training. Evaluation shows that FedTrust outperforms existing approaches in terms of accuracy and precision, achieving a higher rate of detecting and predicting malicious and compromised nodes.
Article
Computer Science, Information Systems
Kamran Ahmad Awan, Ikram Ud Din, Ahmad Almogren, Joel J. P. C. Rodrigues
Summary: This study proposes an innovative methodology for enhancing the privacy and efficiency of big data analytics in the IoT through federated learning. The approach combines a hierarchical structure, scalable learning rate, and rudimentary cryptographic mechanism. It also introduces a novel communication protocol, adaptive data compression algorithm, resilience mechanisms, fault detection and recovery, and trust management. Evaluation results show significant improvement in privacy and efficiency of big data analytics in the IoT.
Article
Computer Science, Information Systems
Sonia Khan, Kamran Ahmad Awan, Ikram Ud Din, Ahmad Almogren, Byung Seo-Kim
Summary: This article introduces an innovative framework that enhances network communication in the rapidly evolving landscapes of IoT and 6G networks. By leveraging biomimetic algorithms and intelligent adaptation, the method presented in this article offers a powerful solution to the routing problem in 6G networks, accommodating a diverse array of IoT devices.
Article
Engineering, Multidisciplinary
Saima Kanwal, Feng Tao, Ahmad Almogren, Ateeq Ur Rehman, Rizwan Taj, Ayman Radwan
Summary: This study proposes an improved reversible watermarking method that aims to maximize data embedding capacity and perceptual transparency while maintaining data security. Experimental results show that the proposed method outperforms existing techniques in terms of perceptual transparency and data embedding capacity.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2023)
Article
Computer Science, Information Systems
Shahid Abbas, Hina Nasir, Ahmad Almogren, Ayman Altameem, Nadeem Javaid
Summary: The usage of Internet of Underwater Things (IoUT) networks allows for the detection of aquatic factors and weather forecasting. However, security measures such as authentication and malicious node detection mechanisms are necessary due to potential threats. Additionally, blockchain technology is employed for enhanced security and traceability.