Harnessing the Role of HDAC6 in Idiopathic Pulmonary Fibrosis: Design, Synthesis, Structural Analysis, and Biological Evaluation of Potent Inhibitors.
Giuseppe CampianiCaterina CavellaJeremy D OskoMargherita BrindisiNicola RelittiSimone BrogiA Prasanth SaraswatiStefano FedericoGiulia ChemiSamuele MaramaiGabriele CarulloBenedikt JaegerAlfonso CarleoRosaria BenedettiFederica SarnoStefania LamponiPaola RottoliElena BargagliCarlo BertucciDaniele TedescoDaniel HerpJohanna SengerGiovina RubertiFulvio SaccocciaSimona SaponaraBeatrice GorelliMassimo ValotiBreandán N KennedyHusvinee SundaramurthiStefania ButiniManfred JungKaty M RoachLucia AltucciPeter BraddingDavid W ChristiansonSandra GemmaAntje PrassePublished in: Journal of medicinal chemistry (2021)
Idiopathic pulmonary fibrosis (IPF) is an interstitial lung disease characterized by a progressive-fibrosing phenotype. IPF has been associated with aberrant HDAC activities confirmed by our immunohistochemistry studies on HDAC6 overexpression in IPF lung tissues. We herein developed a series of novel hHDAC6 inhibitors, having low inhibitory potency over hHDAC1 and hHDAC8, as potential pharmacological tools for IPF treatment. Their inhibitory potency was combined with low in vitro and in vivo toxicity. Structural analysis of 6h and structure-activity relationship studies contributed to the optimization of the binding mode of the new molecules. The best-performing analogues were tested for their efficacy in inhibiting fibrotic sphere formation and cell viability, proving their capability in reverting the IPF phenotype. The efficacy of analogue 6h was also determined in a validated human lung model of TGF-β1-dependent fibrogenesis. The results highlighted in this manuscript may pave the way for the identification of first-in-class molecules for the treatment of IPF.
Keyphrases
- idiopathic pulmonary fibrosis
- interstitial lung disease
- structure activity relationship
- histone deacetylase
- systemic sclerosis
- gene expression
- oxidative stress
- signaling pathway
- multiple sclerosis
- transcription factor
- rheumatoid arthritis
- combination therapy
- cell proliferation
- machine learning
- risk assessment
- epithelial mesenchymal transition
- case control
- molecular dynamics simulations
- deep learning