Literature DB >> 34039349

Tubule-specific protein nanocages potentiate targeted renal fibrosis therapy.

Xuan Zhang1, Qian Chen2, Liyuan Zhang1, Haiping Zheng3, Chunjie Lin4, Qunfang Yang1, Tao Liu1, Haigang Zhang1, Xiaohong Chen1, Lei Ren5, Wenjun Shan6,7.   

Abstract

BACKGROUND: Despite the dramatic advances in modern medicine, efficient therapeutic measures for renal fibrosis remain limited. Celastrol (CLT) is effective in treating renal fibrosis in rat models, while causing severe systemic toxicity. Thus, we designed a tubule-specific nanocage (K3-HBc NCs) that effectively deliver CLT to tubular epithelial cell in a virus-like manner. The targeting ligand (K3) to tubular epithelial cells was displayed on the surface of Hepatitis B core protein (HBc) NCs by genetic fusion to the major immunodominant loop region. Ultra-small CLT nanodots were subtly encapsulated into the cavity through electrostatic interaction with the disassembly and reassembly of K3-HBc NCs, to yield K3-HBc/CLT complex. The efficacy of K3-HBc/CLT NCs were demonstrated in Unilateral ureteral obstruction (UUO)-induced renal fibrosis.
RESULTS: The self-assembled K3-HBc/CLT could specifically target tubular epithelial cells via affinity with K3 ligand binding to the megalin receptor, significantly attenuating renal fibrosis. Remarkably, K3-HBc/CLT NCs significantly increased therapeutic efficacy and reduced the systemic toxicity in comparison with free CLT in UUO-induced mouse renal fibrosis model. Importantly, analysis of RNA sequencing data suggested that the anti-fibrotic effect of K3-HBc/CLT could be attributed to suppression of premature senescence in tubular epithelial cells via p21Cip1 and p16Ink4a pathway.
CONCLUSION: The tubule-specific K3-HBc/CLT represented a promising option to realize precise treatment for renal fibrosis.

Entities:  

Keywords:  Celastrol; Cell senescence; Protein nanocage; Renal fibrosis; Target therapy

Year:  2021        PMID: 34039349     DOI: 10.1186/s12951-021-00900-w

Source DB:  PubMed          Journal:  J Nanobiotechnology        ISSN: 1477-3155            Impact factor:   10.435


  48 in total

Review 1.  Cellular and molecular mechanisms of renal fibrosis.

Authors:  Youhua Liu
Journal:  Nat Rev Nephrol       Date:  2011-10-18       Impact factor: 28.314

Review 2.  Renal fibrosis: Primacy of the proximal tubule.

Authors:  Leslie S Gewin
Journal:  Matrix Biol       Date:  2018-02-06       Impact factor: 11.583

Review 3.  Treatment of Renal Fibrosis-Turning Challenges into Opportunities.

Authors:  Barbara M Klinkhammer; Roel Goldschmeding; Jürgen Floege; Peter Boor
Journal:  Adv Chronic Kidney Dis       Date:  2017-03       Impact factor: 3.620

Review 4.  How Tubular Epithelial Cell Injury Contributes to Renal Fibrosis.

Authors:  Bi-Cheng Liu; Tao-Tao Tang; Lin-Li Lv
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 2.622

Review 5.  Mechanisms of Renal Fibrosis.

Authors:  Benjamin D Humphreys
Journal:  Annu Rev Physiol       Date:  2017-10-25       Impact factor: 19.318

Review 6.  Immunosuppressant discovery from Tripterygium wilfordii Hook f: the novel triptolide analog (5R)-5-hydroxytriptolide (LLDT-8).

Authors:  Wei Tang; Jian-ping Zuo
Journal:  Acta Pharmacol Sin       Date:  2012-08-27       Impact factor: 6.150

Review 7.  The origin of renal fibroblasts/myofibroblasts and the signals that trigger fibrosis.

Authors:  Yu Bo Yang Sun; Xinli Qu; Georgina Caruana; Jinhua Li
Journal:  Differentiation       Date:  2016-06-01       Impact factor: 3.880

8.  A New Golden Age of Natural Products Drug Discovery.

Authors:  Ben Shen
Journal:  Cell       Date:  2015-12-03       Impact factor: 41.582

9.  Fibrosis: Targeting EMT to reverse renal fibrosis.

Authors:  Susan J Allison
Journal:  Nat Rev Nephrol       Date:  2015-08-04       Impact factor: 28.314

Review 10.  Tripterygium preparations for the treatment of CKD: a systematic review and meta-analysis.

Authors:  Bin Zhu; Ying Wang; Meg Jardine; Min Jun; Ji-Cheng Lv; Alan Cass; Thaminda Liyanage; Hong-Yu Chen; Yong-jun Wang; Vlado Perkovic
Journal:  Am J Kidney Dis       Date:  2013-05-10       Impact factor: 8.860

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  1 in total

1.  Integrated bioinformatical analysis, machine learning and in vitro experiment-identified m6A subtype, and predictive drug target signatures for diagnosing renal fibrosis.

Authors:  Chunxiang Feng; Zhixian Wang; Chang Liu; Shiliang Liu; Yuxi Wang; Yuanyuan Zeng; Qianqian Wang; Tianming Peng; Xiaoyong Pu; Jiumin Liu
Journal:  Front Pharmacol       Date:  2022-08-31       Impact factor: 5.988

  1 in total

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