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      Reduced Uptake of Oxidized Low-Density Lipoprotein by Macrophages Using Multiple Aptamer Combinations

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          Abstract

          The accumulation of oxidized low-density lipoprotein (oxLDL) in macrophages leads to the formation of foam cells and atherosclerosis development. Reducing the uptake of oxLDL in macrophages decreases the incidence and progression of atherosclerosis. Four distinct single-strand DNA sequences, namely, AP07, AP11, AP25, and AP29, were selected that demonstrated specific binding to distinct regions of oxidized apolipoprotein B100 (apoB100; the protein component of oxLDL) with low HDOCK scores. These four DNA sequences were combined to generate aptamers that selectively bound to labeled Dil-oxLDL, and were subsequently added to murine RAW 264.7 macrophages to test their inhibitory effects using fluorescence spectrometry. The four combined aptamers at 10 μM reduced oxLDL uptake by 79 ± 4% compared to that of the untreated aptamer group. Flow cytometry data demonstrated that macrophages treated with aptamers reached only 32.6% of the Dil-oxLDL signal, a 50% reduction in fluorescence emission relative to that of the untreated group (64.4% Dil-oxLDL signal). Binding the four combined aptamers to the oxLDL surface disrupted the interaction between oxLDL and CD36 via cyclic voltammetry, effectively decreasing the level of uptake of oxLDL by macrophages. Results suggested that these aptamers could be used as alternative compounds to prevent the formation of foam cells, hence providing antiatherosclerosis activity.

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          Most cited references53

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          UCSF ChimeraX : Structure visualization for researchers, educators, and developers

          UCSF ChimeraX is the next-generation interactive visualization program from the Resource for Biocomputing, Visualization, and Informatics (RBVI), following UCSF Chimera. ChimeraX brings (a) significant performance and graphics enhancements; (b) new implementations of Chimera's most highly used tools, many with further improvements; (c) several entirely new analysis features; (d) support for new areas such as virtual reality, light-sheet microscopy, and medical imaging data; (e) major ease-of-use advances, including toolbars with icons to perform actions with a single click, basic "undo" capabilities, and more logical and consistent commands; and (f) an app store for researchers to contribute new tools. ChimeraX includes full user documentation and is free for noncommercial use, with downloads available for Windows, Linux, and macOS from https://www.rbvi.ucsf.edu/chimerax.
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            HDOCK: a web server for protein–protein and protein–DNA/RNA docking based on a hybrid strategy

            Abstract Protein–protein and protein–DNA/RNA interactions play a fundamental role in a variety of biological processes. Determining the complex structures of these interactions is valuable, in which molecular docking has played an important role. To automatically make use of the binding information from the PDB in docking, here we have presented HDOCK, a novel web server of our hybrid docking algorithm of template-based modeling and free docking, in which cases with misleading templates can be rescued by the free docking protocol. The server supports protein–protein and protein–DNA/RNA docking and accepts both sequence and structure inputs for proteins. The docking process is fast and consumes about 10–20 min for a docking run. Tested on the cases with weakly homologous complexes of <30% sequence identity from five docking benchmarks, the HDOCK pipeline tied with template-based modeling on the protein–protein and protein–DNA benchmarks and performed better than template-based modeling on the three protein–RNA benchmarks when the top 10 predictions were considered. The performance of HDOCK became better when more predictions were considered. Combining the results of HDOCK and template-based modeling by ranking first of the template-based model further improved the predictive power of the server. The HDOCK web server is available at http://hdock.phys.hust.edu.cn/.
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              Scavenger receptors class A-I/II and CD36 are the principal receptors responsible for the uptake of modified low density lipoprotein leading to lipid loading in macrophages.

              Modification of low density lipoprotein (LDL) can result in the avid uptake of these lipoproteins via a family of macrophage transmembrane proteins referred to as scavenger receptors (SRs). The genetic inactivation of either of two SR family members, SR-A or CD36, has been shown previously to reduce oxidized LDL uptake in vitro and atherosclerotic lesions in mice. Several other SRs are reported to bind modified LDL, but their contribution to macrophage lipid accumulation is uncertain. We generated mice lacking both SR-A and CD36 to determine their combined impact on macrophage lipid uptake and to assess the contribution of other SRs to this process. We show that SR-A and CD36 account for 75-90% of degradation of LDL modified by acetylation or oxidation. Cholesteryl ester derived from modified lipoproteins fails to accumulate in macrophages taken from the double null mice, as assessed by histochemistry and gas chromatography-mass spectrometry. These results demonstrate that SR-A and CD36 are responsible for the preponderance of modified LDL uptake in macrophages and that other scavenger receptors do not compensate for their absence.

                Author and article information

                Journal
                ACS Appl Bio Mater
                ACS Appl Bio Mater
                mt
                aabmcb
                ACS Applied Bio Materials
                American Chemical Society
                2576-6422
                06 January 2025
                20 January 2025
                : 8
                : 1
                : 457-474
                Affiliations
                []Faculty of Medical Technology, Prince of Songkla University , Songkhla 90110, Thailand
                []Division of Biological Science, Faculty of Science, Prince of Songkla University , Songkhla 90110, Thailand
                [§ ]Center for Genomics and Bioinformatic Research, Faculty of Science, Prince of Songkla University , Songkhla 90110, Thailand
                []Medical of Technology Service Center, Faculty of Medical Technology, Prince of Songkla University , Songkhla 90110, Thailand
                []Department of Chemistry and Center of Excellence for Innovation in Chemistry, Faculty of Science, Ubon Ratchathani University , Ubon Ratchathani 34190, Thailand
                [# ]Department of Physical Chemistry, Faculty for Chemistry, University of Vienna , Vienna 1090, Austria
                Author notes
                Author information
                https://orcid.org/0000-0003-1596-0584
                https://orcid.org/0000-0002-5154-6439
                Article
                10.1021/acsabm.4c01432
                11752521
                39762152
                c0c2eb9e-3a45-46b0-b114-31adcd51c6bc
                © 2025 The Authors. Published by American Chemical Society

                Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works ( https://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 30 September 2024
                : 22 December 2024
                : 20 December 2024
                Funding
                Funded by: National Research Council of Thailand, doi 10.13039/501100004704;
                Award ID: N42A660972
                Funded by: Faculty of Science, Prince of Songkla University, doi 10.13039/501100022536;
                Award ID: 1-2566-02-001
                Funded by: Graduate School, Prince of Songkla University, doi 10.13039/501100022284;
                Award ID: OTR2567-002
                Funded by: Bundesministerium für Bildung, Wissenschaft und Forschung, doi 10.13039/501100013699;
                Award ID: NA
                Categories
                Article
                Custom metadata
                mt4c01432
                mt4c01432

                combined aptamers,oxidized low-density lipoprotein (oxldl),macrophages,foam cell formation,therapeutic agent

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