iPathwayGuide

iPathwayGuide analyzes gene expression and pathway alterations to identify therapeutic candidates and elucidate mechanisms such as cytokine storm syndrome in SARS‑CoV‑2/COVID‑19.


Key Features:

  • Pathway and gene-expression analysis: Performs comprehensive analysis of gene expression alterations and pathway dynamics induced by SARS‑CoV‑2 infection.
  • Cell- and tissue-level comparisons: Compares expression changes in NHBE (Normal Human Bronchial Epithelial) cells, A549 lung carcinoma cells, and COVID‑19 affected lung tissues versus respective controls.
  • Inflammatory mechanism focus: Targets mechanisms underlying severe inflammatory responses, including cytokine storm syndrome.
  • Drug repurposing prioritization: Identifies potential repurposing opportunities among FDA‑approved drugs to mitigate hyper‑inflammation and related symptoms.
  • Validation across experimental systems: Supports validation using multiple independent datasets including Vero E6 cells, lung and intestinal organoids, and patient samples.
  • Therapeutic candidate output: Reported methylprednisolone (MP) as a prioritized candidate and compared its predicted efficacy to other corticosteroids such as dexamethasone and hydrocortisone.
  • Clinical outcome association: Linked predictions to clinical metrics, reporting a reduction in 30‑day all‑cause mortality for MP (29.6% versus 16.6%, P = 0.027) with a number needed to treat (NNT) = 5.

Scientific Applications:

  • Drug repurposing for COVID‑19: Prioritizes FDA‑approved drugs for potential mitigation of severe COVID‑19 inflammatory responses.
  • Mechanistic studies of hyper‑inflammation: Elucidates pathway-level mechanisms driving cytokine storm syndrome and related severe inflammatory phenotypes.
  • Comparative transcriptomics: Enables comparison of gene expression profiles across NHBE, A549, Vero E6, organoids, and patient lung tissues.
  • Translational prediction and validation: Generates therapeutic predictions that can be validated across in vitro, organoid, and patient datasets and associated with clinical outcomes.

Methodology:

Performs comprehensive analysis of gene expression alterations and pathway dynamics induced by SARS‑CoV‑2; compares NHBE, A549, and COVID‑19 lung tissues to controls; identifies FDA‑approved drug repurposing candidates; and validates predictions using independent datasets including Vero E6 cells, lung and intestinal organoids, and patient samples.

Topics

Details

Cost:
Free of charge (with restrictions)
Tool Type:
web application
Added:
9/20/2021
Last Updated:
9/20/2021

Operations

Publications

Draghici S, Nguyen T, Sonna LA, Ziraldo C, Vanciu R, Fadel R, Morrison A, Kenney RM, Alangaden G, Ramesh M, Mor G. COVID-19: disease pathways and gene expression changes predict methylprednisolone can improve outcome in severe cases. Bioinformatics. 2021;37(17):2691-2698. doi:10.1093/bioinformatics/btab163. PMID:33693506. PMCID:PMC7989618.

PMID: 33693506
PMCID: PMC7989618
Funding: - National Institutes of Health [NIAID: 1R01AI145829-01 - National Science Foundation: 1853207, 2029572

Documentation

Links