Literature DB >> 31610191

Immune system-mediated cellular and molecular mechanisms in idiopathic membranous nephropathy pathogenesis and possible therapeutic targets.

Roza Motavalli1, Jalal Etemadi2, Houman Kahroba1, Amir Mehdizadeh3, Mehdi Yousefi4.   

Abstract

Idiopathic membranous nephropathy (IMN) has recently attracted much attention due to the development of auto antibodies, anti-phospholipase A2 receptor and anti-thrombospondin type I domain-containing 7A on podocytes, the establishment of immune networks complexes in circulation as well as the development of autoreactive immune cells against kidney, in both innate and adaptive participants. The auto inflammatory responses in IMN leads to the dysfunction of glomerular cells to represent pathological status. T cells, as a crucial factor in the immune network, support B cell-related responses and develop inflammation and cytotoxicity. They have the most determining roles in the autoimmune diseases. Activation of T cells occurs just before their infiltration in kidney. This process is definitely accompanied by costimulatory factors and cytokines, in order to develop and increase the number of these cells. In addition, altered B cell signaling network by the B cell receptor and co receptors such as B cell-activating factor receptor (BAFFR) stimulates the autoimmune-related pathogenesis. Autoantigens exposure and kidney infiltration of naive T cells lead to their local development. Furthermore, losing peripheral immune tolerance towards kidney antigens, will result in IMN. The growing findings about different immune system factors, cells and molecular mechanism have also revealed new pathways of pathogenesis and diagnosis approaches, such as personalized medicine in MN patients. This review aims to discuss the recent findings in adaptive immune cells, and distinguishes between intact and undone researches about pathogenesis and molecular signaling pathways of immune system in MN disease.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Heymann nephritis; Idiopathic membranous nephropathy; Immune system; STATs; mTOR

Mesh:

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Year:  2019        PMID: 31610191     DOI: 10.1016/j.lfs.2019.116923

Source DB:  PubMed          Journal:  Life Sci        ISSN: 0024-3205            Impact factor:   5.037


  6 in total

1.  Identification of molecular mechanism and key biomarkers in membranous nephropathy by bioinformatics analysis.

Authors:  Zhaocheng Dong; Yunling Geng; Pingna Zhang; Jingyi Tang; Zijing Cao; Huijuan Zheng; Jing Guo; Chao Zhang; Baoli Liu; Wei Jing Liu
Journal:  Am J Transl Res       Date:  2022-08-15       Impact factor: 3.940

Review 2.  How Does Herbal Medicine Treat Idiopathic Membranous Nephropathy?

Authors:  Zhendong Feng; Wenbin Liu; Han Xue Jiang; Haoran Dai; Chang Gao; Zhaocheng Dong; Yu Gao; Fei Liu; Zihan Zhang; Qihan Zhao; Lei Zhang; Baoli Liu
Journal:  Front Pharmacol       Date:  2020-07-03       Impact factor: 5.810

3.  Integrative analysis of miRNA-mRNA network in idiopathic membranous nephropathy by bioinformatics analysis.

Authors:  Wenfang He; Jinshi Zhang; Shizhu Yuan; Mingzhu Liang; Weidong Chen; Juan Jin
Journal:  PeerJ       Date:  2021-09-29       Impact factor: 2.984

4.  Machine Learning Reveals Ets2 as a Novel Target for Membranous Nephropathy Treatment and Its Role in Immune Infiltration.

Authors:  Peng-Zhi Wan; Tian-Hua Xu; Bin-Yao Tian; Guang-Ying Guo; Xiao-Li Li; Li Yao
Journal:  Front Med (Lausanne)       Date:  2022-03-18

5.  Protein energy-wasting associated with nephrotic syndrome - the comparison of metabolic pattern in severe nephrosis to different stages of chronic kidney disease.

Authors:  Anna Matyjek; Slawomir Literacki; Stanislaw Niemczyk; Aleksandra Rymarz
Journal:  BMC Nephrol       Date:  2020-08-14       Impact factor: 2.388

6.  Exploring the Differences in Molecular Mechanisms and Key Biomarkers Between Membranous Nephropathy and Lupus Nephritis Using Integrated Bioinformatics Analysis.

Authors:  Zhaocheng Dong; Haoran Dai; Wenbin Liu; Hanxue Jiang; Zhendong Feng; Fei Liu; Qihan Zhao; Hongliang Rui; Wei Jing Liu; Baoli Liu
Journal:  Front Genet       Date:  2022-01-03       Impact factor: 4.599

  6 in total

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