ArticleActa biomaterialia2019
Decoy nanoparticles bearing native C5a receptors as a new approach to inhibit complement-mediated neutrophil activation.
Article in Acta biomaterialia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Enhancing Cardioprotection Through Neutrophil-Mediated Delivery of 18β-Glycyrrhetinic Acid in Myocardial Ischemia/Reperfusion Injury.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Neutrophil Extracellular Traps in Tumors and Potential Use of Traditional Herbal Medicine Formulations for Its Regulation.International journal of nanomedicine · 2024Review
- Effect of Crohn's disease mesenteric mesenchymal stem cells and their extracellular vesicles on T-cell immunosuppressive capacity.Journal of cellular and molecular medicine · 2022Article
- Ischemic stroke: From pathological mechanisms to neuroprotective strategies.Frontiers in neurology · 2022Review
- Effects of immune cells on mesenchymal stem cells during fracture healing.World journal of stem cells · 2021Review
- Predicting the In Vivo Performance of Cardiovascular Biomaterials: Current Approaches In Vitro Evaluation of Blood-Biomaterial Interactions.International journal of molecular sciences · 2021Review
- Soluble Receptors Affecting Stroke Outcomes: Potential Biomarkers and Therapeutic Tools.International journal of molecular sciences · 2021Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Complement-activated neutrophils are integrally involved in many pathological conditions as well as in dampening the efficacy of cell-based therapies. Mesenchymal stem cells (MSCs) hold promise for regenerative medicine and inflammatory disease therapy, but current MSC-based therapies still require further improvements to ensure success. We recently reported that immediately upon delivery to the bloodstream, MSCs activate complement to produce C5a, which binds to its receptor, C5aR, on neutrophils and thus activates these cells to damage MSCs. Thus, blocking this C5a-C5aR interaction should yield improvements in MSC survival and treatment efficacy. In this project, we developed decoy nanoparticles with surface displaying native C5aR by coating membrane vesicles derived from macrophages expressing high levels of C5aR onto poly(lactic-co-glycolic acid) (PLGA) cores. These C5aR-displaying decoy nanoparticles effectively inhibited neutrophil activation and thus reduced sequential injury to MSCs upon exposure to blood both in vitro and in vivo. Consequently, survival and treatment potency of the MSCs were significantly improved by these decoy nanoparticles. This finding suggests that the C5aR-displaying decoy nanoparticles represent a unique approach toward improving current MSC-based therapies. Additionally, these decoy nanoparticles can be useful as a new reagent for the treatment of other pathological conditions that involve C5a-C5aR signaling. STATEMENT OF SIGNIFICANCE: Complement C5aR has been implied in the pathogenesis of many disorders and is emerging as a new target for the development of therapeutics. So far all the inhibitors of C5aR are either biologicals or small compounds with various shortcomings. Since C5aR is a G-protein coupled receptor that features a multi-loop binding interface with its ligand, C5a, soluble forms of C5aR as decoys for cell surface C5aR are unlikely. We believe this is the first evidence suggesting that C5aR decoy nanoparticles can be developed to treat various C5aR-mediated pathological conditions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.