Unknown

Dataset Information

0

A network-based computational and experimental framework for repurposing compounds toward the treatment of non-alcoholic fatty liver disease.


ABSTRACT: Non-alcoholic fatty liver disease (NAFLD) is among the most common liver pathologies, however, none approved condition-specific therapy yet exists. The present study introduces a drug repositioning (DR) approach that combines in vitro steatosis models with a network-based computational platform, constructed upon genomic data from diseased liver biopsies and compound-treated cell lines, to propose effectively repositioned therapeutic compounds. The introduced in silico approach screened 20'000 compounds, while complementary in vitro and proteomic assays were developed to test the efficacy of the 46 in silico predictions. This approach successfully identified six compounds, including the known anti-steatogenic drugs resveratrol and sirolimus. In short, gallamine triethiotide, diflorasone, fenoterol, and pralidoxime ameliorate steatosis similarly to resveratrol/sirolimus. The implementation holds great potential in reducing screening time in the early drug discovery stages and in delivering promising compounds for in vivo testing.

SUBMITTER: Zareifi DS 

PROVIDER: S-EPMC8889147 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

A network-based computational and experimental framework for repurposing compounds toward the treatment of non-alcoholic fatty liver disease.

Zareifi Danae Stella DS   Chaliotis Odysseas O   Chala Nafsika N   Meimetis Nikos N   Sofotasiou Maria M   Zeakis Konstantinos K   Pantiora Eirini E   Vezakis Antonis A   Matsopoulos George K GK   Fragulidis Georgios G   Alexopoulos Leonidas G LG  

iScience 20220209 3


Non-alcoholic fatty liver disease (NAFLD) is among the most common liver pathologies, however, none approved condition-specific therapy yet exists. The present study introduces a drug repositioning (DR) approach that combines <i>in vitro</i> steatosis models with a network-based computational platform, constructed upon genomic data from diseased liver biopsies and compound-treated cell lines, to propose effectively repositioned therapeutic compounds. The introduced <i>in silico</i> approach scre  ...[more]

Similar Datasets

| S-EPMC8635790 | biostudies-literature
| S-EPMC10747202 | biostudies-literature
| S-EPMC10982245 | biostudies-literature
| S-EPMC7397704 | biostudies-literature
| S-EPMC5844539 | biostudies-literature
| S-EPMC10863038 | biostudies-literature
| S-EPMC6334080 | biostudies-literature
| S-EPMC6758911 | biostudies-literature
| S-EPMC9204489 | biostudies-literature
| S-EPMC7557363 | biostudies-literature