Literature DB >> 29734158

Direct Effects of Immunomodulatory Agents on Podocytes in Immune-Mediated Glomerular Diseases.

Shun Manabe, Kosaku Nitta, Michio Nagata.   

Abstract

Amelioration of podocyte injury, which can lead to podocyte detachment, is the target of therapeutic intervention in glomerular diseases. Since podocytes are terminally differentiated cells with little or no proliferative ability, their loss results in permanent glomerular dysfunction. In immune-mediated glomerular diseases, a variety of immunomodulatory agents are used to maintain podocytes by systemic immunosuppression, which indirectly ameliorates podocyte injury by interrupting the input of immunological stress. However, in contrast to the indirect therapeutic strategy mediated by immunosuppression, recent data now suggest that immunomodulatory agents directly act on podocytes in an agent-dependent manner. Indeed, the therapeutic efficacy of immunomodulatory agents is, at least in part, derived by the direct action on podocytes. In this review, we discuss the molecular targets and mechanisms by which immunomodulatory agents alleviate podocyte injury and examine their clinical significance.
© 2018 S. Karger AG, Basel.

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Year:  2018        PMID: 29734158     DOI: 10.1159/000486943

Source DB:  PubMed          Journal:  Contrib Nephrol        ISSN: 0302-5144            Impact factor:   1.580


  3 in total

1.  Evaluation of the inhibitory effect of tacrolimus combined with mycophenolate mofetil on mesangial cell proliferation based on the cell cycle.

Authors:  Yanfang Gao; Hui Yang; Yanhong Wang; Jihua Tian; Rongshan Li; Xiaoshuang Zhou
Journal:  Int J Mol Med       Date:  2020-08-07       Impact factor: 4.101

2.  Therapeutic Options for Recurrence of Primary Focal Segmental Glomerulonephritis (FSGS) in the Renal Allograft: Single-Center Experience.

Authors:  Kalliopi Vallianou; Smaragdi Marinaki; Chrysanthi Skalioti; Sophia Lionaki; Maria Darema; Christina Melexopoulou; Ioannis Boletis
Journal:  J Clin Med       Date:  2021-01-20       Impact factor: 4.241

3.  Machine Learning-Based Prediction Method for Tremors Induced by Tacrolimus in the Treatment of Nephrotic Syndrome.

Authors:  Bing Shao; Youyang Qu; Wei Zhang; Haihe Zhan; Zerong Li; Xingyu Han; Mengchao Ma; Zhimin Du
Journal:  Front Pharmacol       Date:  2022-04-27       Impact factor: 5.810

  3 in total

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