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      Compounds targeting OSBPL7 increase ABCA1-dependent cholesterol efflux preserving kidney function in two models of kidney disease

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          Abstract

          Impaired cellular cholesterol efflux is a key factor in the progression of renal, cardiovascular, and autoimmune diseases. Here we describe a class of 5-arylnicotinamide compounds, identified through phenotypic drug discovery, that upregulate ABCA1-dependent cholesterol efflux by targeting Oxysterol Binding Protein Like 7 (OSBPL7). OSBPL7 was identified as the molecular target of these compounds through a chemical biology approach, employing a photoactivatable 5-arylnicotinamide derivative in a cellular cross-linking/immunoprecipitation assay. Further evaluation of two compounds (Cpd A and Cpd G) showed that they induced ABCA1 and cholesterol efflux from podocytes in vitro and normalized proteinuria and prevented renal function decline in mouse models of proteinuric kidney disease: Adriamycin-induced nephropathy and Alport Syndrome. In conclusion, we show that small molecule drugs targeting OSBPL7 reveal an alternative mechanism to upregulate ABCA1, and may represent a promising new therapeutic strategy for the treatment of renal diseases and other disorders of cellular cholesterol homeostasis.

          Abstract

          This study describes a class of small molecule compounds that promote ABCA1-dependent cholesterol efflux via a non-transcriptional mechanism, the identification of the molecular target by a chemical biology approach, and the potential of these agents for the treatment of chronic kidney diseases and potentially other diseases where lipid accumulation drives disease progression.

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          Most cited references60

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          SWISS-MODEL: homology modelling of protein structures and complexes

          Abstract Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimentally determined structures. Fully automated workflows and servers simplify and streamline the homology modelling process, also allowing users without a specific computational expertise to generate reliable protein models and have easy access to modelling results, their visualization and interpretation. Here, we present an update to the SWISS-MODEL server, which pioneered the field of automated modelling 25 years ago and been continuously further developed. Recently, its functionality has been extended to the modelling of homo- and heteromeric complexes. Starting from the amino acid sequences of the interacting proteins, both the stoichiometry and the overall structure of the complex are inferred by homology modelling. Other major improvements include the implementation of a new modelling engine, ProMod3 and the introduction a new local model quality estimation method, QMEANDisCo. SWISS-MODEL is freely available at https://swissmodel.expasy.org.
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            Dapagliflozin in Patients with Chronic Kidney Disease

            Patients with chronic kidney disease have a high risk of adverse kidney and cardiovascular outcomes. The effect of dapagliflozin in patients with chronic kidney disease, with or without type 2 diabetes, is not known.
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              Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes.

              A novel scoring function to estimate protein-ligand binding affinities has been developed and implemented as the Glide 4.0 XP scoring function and docking protocol. In addition to unique water desolvation energy terms, protein-ligand structural motifs leading to enhanced binding affinity are included: (1) hydrophobic enclosure where groups of lipophilic ligand atoms are enclosed on opposite faces by lipophilic protein atoms, (2) neutral-neutral single or correlated hydrogen bonds in a hydrophobically enclosed environment, and (3) five categories of charged-charged hydrogen bonds. The XP scoring function and docking protocol have been developed to reproduce experimental binding affinities for a set of 198 complexes (RMSDs of 2.26 and 1.73 kcal/mol over all and well-docked ligands, respectively) and to yield quality enrichments for a set of fifteen screens of pharmaceutical importance. Enrichment results demonstrate the importance of the novel XP molecular recognition and water scoring in separating active and inactive ligands and avoiding false positives.
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                Author and article information

                Contributors
                marco.prunotto@unige.ch
                afornoni@med.miami.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                2 August 2021
                2 August 2021
                2021
                : 12
                : 4662
                Affiliations
                [1 ]GRID grid.417570.0, ISNI 0000 0004 0374 1269, Pharma Research and Early Development (pRED), Roche Innovation Center Basel, , F. Hoffmann-La Roche Ltd, ; Basel, Switzerland
                [2 ]GRID grid.26790.3a, ISNI 0000 0004 1936 8606, Katz Family Division of Nephrology and Hypertension, Department of Medicine, , University of Miami, Miller School of Medicine, ; Miami, FL USA
                [3 ]GRID grid.26790.3a, ISNI 0000 0004 1936 8606, Peggy and Harold Katz Family Drug Discovery Center, , University of Miami, Miller School of Medicine, ; Miami, FL USA
                [4 ]GRID grid.26790.3a, ISNI 0000 0004 1936 8606, Department of Molecular and Cellular Pharmacology, , University of Miami Miller School of Medicine, ; Miami, FL USA
                [5 ]GRID grid.26790.3a, ISNI 0000 0004 1936 8606, Sylvester Comprehensive Cancer Center, , University of Miami, Miller School of Medicine, ; Miami, FL USA
                [6 ]GRID grid.26790.3a, ISNI 0000 0004 1936 8606, Department of Pathology, , University of Miami, Miller School of Medicine, ; Miami, FL USA
                [7 ]GRID grid.26790.3a, ISNI 0000 0004 1936 8606, Diabetes Research Institute, , University of Miami, Miller School of Medicine, ; Miami, FL USA
                [8 ]GRID grid.29078.34, ISNI 0000 0001 2203 2861, Institute for Research in Biomedicine, , Università della Svizzera Italiana, ; Bellinzona, Switzerland
                [9 ]GRID grid.419765.8, ISNI 0000 0001 2223 3006, Swiss Institute of Bioinformatics, ; Lausanne, Switzerland
                [10 ]GRID grid.8591.5, ISNI 0000 0001 2322 4988, School of Pharmaceutical Sciences, , University of Geneva, ; Geneva, Switzerland
                Author information
                http://orcid.org/0000-0002-0532-3381
                http://orcid.org/0000-0002-6844-4500
                http://orcid.org/0000-0001-9820-2126
                http://orcid.org/0000-0003-0848-9683
                http://orcid.org/0000-0003-4063-4502
                http://orcid.org/0000-0002-0203-0129
                http://orcid.org/0000-0002-1313-7773
                Article
                24890
                10.1038/s41467-021-24890-3
                8329197
                34341345
                0f25fca5-bc7c-41b5-9a2e-97d8183ef273
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 October 2020
                : 6 July 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100006827, Florida Department of Health;
                Award ID: 9LA08
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000062, U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases);
                Award ID: R01DK117599
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                drug discovery and development,alport syndrome,kidney diseases,lipids
                Uncategorized
                drug discovery and development, alport syndrome, kidney diseases, lipids

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