| Literature DB >> 32784632 |
Elena Bargagli1, Rosa Metella Refini1, Miriana d'Alessandro1, Laura Bergantini1, Paolo Cameli1, Lorenza Vantaggiato2, Luca Bini2, Claudia Landi1,2.
Abstract
Idiopathic pulmonary fibrosis (IPF) is a fibroproliferative disorder limited to the lung. New findings, starting from our proteomics studies on IPF, suggest that systemic involvement with altered molecular mechanisms and metabolic disorder is an underlying cause of fibrosis. The role of metabolic dysregulation in the pathogenesis of IPF has not been extensively studied, despite a recent surge of interest. In particular, our studies on bronchoalveolar lavage fluid have shown that the renin-angiotensin-aldosterone system (RAAS), the hypoxia/oxidative stress response, and changes in iron and lipid metabolism are involved in onset of IPF. These processes appear to interact in an intricate manner and to be related to different fibrosing pathologies not directly linked to the lung environment. The disordered metabolism of carbohydrates, lipids, proteins and hormones has been documented in lung, liver, and kidney fibrosis. Correcting these metabolic alterations may offer a new strategy for treating fibrosis. This paper focuses on the role of metabolic dysregulation in the pathogenesis of IPF and is a continuation of our previous studies, investigating metabolic dysregulation as a new target for fibrosis therapy.Entities:
Keywords: idiopathic pulmonary fibrosis; iron metabolism; lipid metabolism; metabolic dysregulation; oxidative stress; renin–angiotensin–aldosterone system
Mesh:
Substances:
Year: 2020 PMID: 32784632 PMCID: PMC7461042 DOI: 10.3390/ijms21165663
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Table summarizing the metabolic dysregulation in idiopathic pulmonary fibrosis (IPF) suggested by different proteomic studies reported in the text, differentially abundant proteins found for each dysregulation, influencing or influenced mechanisms and diseases or effects induced by the relative dysregulations.
| Metabolic Pathways Dysregulation in IPF | Dysregulated Proteins | Influencing or Influenced Mechanisms | Diseases and Effects | References |
|---|---|---|---|---|
| Renin-angiotensin-aldosterone system (RAAS) | ANGT | ACE-2/Ang 1-7/Mas axis vs. ACE/Ang II/AT1-R | Metabolic syndrome | [ |
| Hypoxia, oxidative stress and iron metabolism | HPT, TRFE, PRDX1 | RAAS increase oxidative stress | Aging | [ |
| Lipid metabolism dysregulation | FABP4, RBP4, HP, APOAI, | PPAR- ϒ modulation | Obesity | [ |
| Mitochondrial alterations | FABP4, RBP4, HP, APOAI, | Oxidative phosphorylation | Insulin-resistance | [ |
Figure 1Schematic representation of the renin–angiotensin–aldosterone system (RAAS). AGT (ANGT) in green represent the dysregulated protein that we found with the proteomic analysis. In red and blue, the opposite effects of RAAS.
Figure 2Schematic representation of the HIF1 signalling pathway. In green are highlighted the pathway maps identified by the proteomics and bioinformatics analyses. In red, the modulation and the effects in IPF. In orange, the involvement of the mitochondrial activity.
Figure 3Schematic representation of the PPAR and JAK-STAT signalling pathways. In green are highlighted the proteins identified by the proteomics and bioinformatics analyses. In red, the modulation and the effects in IPF.
Figure 4Protein interactome by MetaCore software correlating all the proteins reported in Table 1 in a hub-centric network. APOA1 in HDL, GSTP1, Alpha 1-antitrypsin, Angiotensinogen, APOC3 (red circles) are the central functional hubs i.e., the proteins with a high number of interactions with other modulators in the interactome. The red arrows indicate the inhibition, the green arrows mean inductions, and the grey arrows indicate a generic correlation. The teal highlighted lines indicate the well-known canonical molecular pathways. The relative figure legend is in Supplemental Material in Figure S1.
Figure 5Enrichment analysis performed by the MetaCore software tool “Drug look up for your data”. Figure shows drugs related to the differential proteins reported in Table 1 considered a potential target of treatment.