ArticleScientific reports2021
Hemodialysis biocompatibility mathematical models to predict the inflammatory biomarkers released in dialysis patients based on hemodialysis membrane characteristics and clinical practices.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 37 citations in OpenAlex.
- Exploratory study of dialysis membrane impact on epigenetic methylation patterns in hemodialysis patients using genomic and synchrotron investigations.Scientific reports · 2026Article
- Cerebral Neurodegeneration and Cognitive Impairment in Patients on Maintenance Hemodialysis: the Role of Neuroglia and Associated Factors (Review).Sovremennye tekhnologii v meditsine · 2026Review
- Molecular frontiers in hemodialysis: unraveling the role of membranes in gene expression, epigenetics, and inflammatory pathways.International urology and nephrology · 2025Review
- Comparative effects of hemodialysis modalities on microparticle induction and neutrophil activation in a randomized cross-over study.iScience · 2025Article
- Investigation on the Detoxification of Indoxyl Sulfate (IS) and Indole-3-Acetic Acid (IAA) Protein-Bound Uremic Toxins (PBUTs) Using Trametes versicolor Biocompatible Laccase: In Situ Synchrotron Imaging, Experimental and Computational Studies.Applied biochemistry and biotechnology · 2025Article
- Development and Investigation of a New Polysulfone Dialyzer with Increased Membrane Hydrophilicity.Membranes · 2025Review
- Hemoincompatibility in Hemodialysis-Related Therapies and Their Health Economic Perspectives.Journal of clinical medicine · 2024Article
- Aminolysis-Based Zwitterionic Immobilization on Polyethersulfone Membranes for Enhanced Hemocompatibility: Experimental, Computational, and Ex Vivo Investigations.Biomimetics (Basel, Switzerland) · 2024Article
- Proceedings of a membrane update symposium: advancements, scientific insights, and future trends for dialysis membranes for enhanced clinical outcomes in end stage kidney disease patients.Frontiers in nephrology · 2024Article
- Article
- Exploiting Polyelectrolyte Complexation for the Development of Adhesive and Bioactive Membranes Envisaging Guided Tissue Regeneration.Journal of functional biomaterials · 2022Article
- Impact of Membrane Modification and Surface Immobilization Techniques on the Hemocompatibility of Hemodialysis Membranes: A Critical Review.Membranes · 2022Review
- Immune System Dysfunction and Inflammation in Hemodialysis Patients: Two Sides of the Same Coin.Journal of clinical medicine · 2022Review
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Chronic kidney disease affects millions of people around the globe and many patients rely on hemodialysis (HD) to survive. HD is associated with undesired life-threatening side effects that are linked to membrane biocompatibility and clinical operating conditions. The present study develops a mathematical model to predict the inflammatory biomarkers released in HD patients based on membrane morphology, chemistry, and interaction affinity. Based on the morphological characteristics of two clinical-grade HD membrane modules (CTA and PAES-PVP) commonly used in Canadian hospitals, a molecular docking study, and the release of inflammatory cytokines during HD and in vitro incubation experiments, we develop five sets of equations that describe the concentration of eight biomarkers (serpin/antithrombin-III, properdin, C5a, 1L-1α, 1L-1β, C5b-9, IL6, vWF). The equations developed are functions of membrane properties (pore size, roughness, chemical composition, affinity to fibrinogen, and surface charge) and HD operating conditions (blood flow rate, Qb, and treatment time, t). We expand our model based on available clinical data and increase its range of applicability in terms of flow rate and treatment time. We also modify the original equations to expand their range of applicability in terms of membrane materials, allowing the prediction and validation of the inflammatory response of several clinical and synthesized membrane materials. Our affinity-based model solely relies on theoretical values of molecular docking, which can significantly reduce the experimental load related to the development of more biocompatible materials. Our model predictions agree with experimental clinical data and can guide the development of novel materials and support evidence-based membrane synthesis of HD membranes, reducing the need for trial-and-error approaches.
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