scholarly journals Systems Pharmacology of the NGF Signaling Through p75 and TrkA Receptors

2014 ◽  
Vol 3 (12) ◽  
pp. 150 ◽  
Author(s):  
T Toni ◽  
P Dua ◽  
P H van der Graaf
Keyword(s):  
Systems Pharmacology ◽  
Trka Receptors ◽  
Ngf Signaling

Effect of Oligodendroglial Microdomain Components on NGF Signaling

2004 ◽  
Vol 35 (03) ◽  
Author(s):  
M Schmitz ◽  
S Klopfleisch ◽  
S Kloeppner ◽  
HH Althaus
Keyword(s):  
Ngf Signaling

scholarly journals CPT: Pharmacometrics & Systems Pharmacology – Inception, Maturation, and Future Vision

2021 ◽  
Vol 10 (7) ◽  
pp. 649-657
Author(s):  
Karen Rowland Yeo ◽  
Stefanie Hennig ◽  
Sriram Krishnaswami ◽  
Natasha Strydom ◽  
Vivaswath S. Ayyar ◽  
...  
Keyword(s):  
Systems Pharmacology ◽  
Future Vision

scholarly journals Acceleration of TAA-Induced Liver Fibrosis by Stress Exposure Is Associated with Upregulation of Nerve Growth Factor and Glycopattern Deviations

2021 ◽  
Vol 22 (10) ◽  
pp. 5055
Author(s):  
Catalina Atorrasagasti ◽  
Flavia Piccioni ◽  
Sophia Borowski ◽  
Irene Tirado-González ◽  
Nancy Freitag ◽  
...  
Keyword(s):  
Nerve Growth Factor ◽  
Growth Factor ◽  
Liver Fibrosis ◽  
Signaling Pathway ◽  
Liver Damage ◽  
Neurotrophin Receptor ◽  
P75 Neurotrophin Receptor ◽  
Nerve Growth ◽  
Fibrotic Process ◽  
Ngf Signaling

Liver fibrosis results from many chronic injuries and may often progress to cirrhosis and hepatocellular carcinoma (HCC). In fact, up to 90% of HCC arise in a cirrhotic liver. Conversely, stress is implicated in liver damage, worsening disease outcome. Hence, stress could play a role in disrupting liver homeostasis, a concept that has not been fully explored. Here, in a murine model of TAA-induced liver fibrosis we identified nerve growth factor (NGF) to be a crucial regulator of the stress-induced fibrogenesis signaling pathway as it activates its receptor p75 neurotrophin receptor (p75NTR), increasing liver damage. Additionally, blocking the NGF decreased liver fibrosis whereas treatment with recombinant NGF accelerated the fibrotic process to a similar extent than stress challenge. We further show that the fibrogenesis induced by stress is characterized by specific changes in the hepatoglycocode (increased β1,6GlcNAc-branched complex N-glycans and decreased core 1 O-glycans expression) which are also observed in patients with advanced fibrosis compared to patients with a low level of fibrosis. Our study facilitates an understanding of stress-induced liver injury and identify NGF signaling pathway in early stages of the disease, which contributes to the established fibrogenesis.

scholarly journals Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Alieh Gholaminejad ◽  
Yousof Gheisari ◽  
Sedigheh Jalali ◽  
Amir Roointan
Keyword(s):  
Iga Nephropathy ◽  
Regulatory Network ◽  
Target Genes ◽  
Expression Profiles ◽  
Gene Signature ◽  
Gene Expression Omnibus ◽  
Integrative Approach ◽  
Potential Factors ◽  
Ngf Signaling ◽  
Underlying Mechanisms

Abstract Background IgA nephropathy (IgAN) is a kidney disease recognized by the presence of IgA antibody depositions in kidneys. The underlying mechanisms of this complicated disease are remained to be explored and still, there is an urgent need for the discovery of noninvasive biomarkers for its diagnosis. In this investigation, an integrative approach was applied to mRNA and miRNA expression profiles in PBMCs to discover a gene signature and novel potential targets/biomarkers in IgAN. Methods Datasets were selected from gene expression omnibus database. After quality control checking, two datasets were analyzed by Limma to identify differentially expressed genes/miRNAs (DEGs and DEmiRs). Following identification of DEmiR-target genes and data integration, intersecting mRNAs were subjected to different bioinformatic analyses. The intersecting mRNAs, DEmiRs, related transcription factors (from TRRUST database), and long-non coding RNAs (from LncTarD database) were used for the construction of a multilayer regulatory network via Cytoscape. Result “GSE25590” (miRNA) and “GSE73953” (mRNA) datasets were analyzed and after integration, 628 intersecting mRNAs were identified. The mRNAs were mainly associated with “Innate immune system”, “Apoptosis”, as well as “NGF signaling” pathways. A multilayer regulatory network was constructed and several hub-DEGs (Tp53, STAT3, Jun, etc.), DEmiRs (miR-124, let-7b, etc.), TFs (NF-kB, etc.), and lncRNAs (HOTAIR, etc.) were introduced as potential factors in the pathogenesis of IgAN. Conclusion Integration of two different expression datasets and construction of a multilayer regulatory network not only provided a deeper insight into the pathogenesis of IgAN, but also introduced several key molecules as potential therapeutic target/non-invasive biomarkers.

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