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Systems pharmacology–based integration of human and mouse data for drug repurposing to treat thoracic aneurysms
Jens Hansen, Josephine Galatioto, Cristina I. Caescu, Pauline Arnaud, Rhodora C. Calizo, Bart Spronck, Sae-Il Murtada, Roshan Borkar, Alan Weinberg, Evren U. Azeloglu, Maria Bintanel-Morcillo, James M. Gallo, Jay D. Humphrey, Guillaume Jondeau, Catherine Boileau, Francesco Ramirez, Ravi Iyengar
Jens Hansen, Josephine Galatioto, Cristina I. Caescu, Pauline Arnaud, Rhodora C. Calizo, Bart Spronck, Sae-Il Murtada, Roshan Borkar, Alan Weinberg, Evren U. Azeloglu, Maria Bintanel-Morcillo, James M. Gallo, Jay D. Humphrey, Guillaume Jondeau, Catherine Boileau, Francesco Ramirez, Ravi Iyengar
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Research Article Therapeutics

Systems pharmacology–based integration of human and mouse data for drug repurposing to treat thoracic aneurysms

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Abstract

Marfan syndrome (MFS) is associated with mutations in fibrillin-1 that predispose afflicted individuals to progressive thoracic aortic aneurysm (TAA) leading to dissection and rupture of the vessel wall. Here we combined computational and experimental approaches to identify and test FDA-approved drugs that may slow or even halt aneurysm progression. Computational analyses of transcriptomic data derived from the aortas of MFS patients and MFS mice (Fbn1mgR/mgR mice) predicted that subcellular pathways associated with reduced muscle contractility are key TAA determinants that could be targeted with the GABAB receptor agonist baclofen. Systemic administration of baclofen to Fbn1mgR/mgR mice validated our computational prediction by mitigating arterial disease progression at the cellular and physiological levels. Interestingly, baclofen improved muscle contraction–related subcellular pathways by upregulating a different set of genes than those downregulated in the aorta of vehicle-treated Fbn1mgR/mgR mice. Distinct transcriptomic profiles were also associated with drug-treated MFS and wild-type mice. Thus, systems pharmacology approaches that compare patient- and mouse-derived transcriptomic data for subcellular pathway–based drug repurposing represent an effective strategy to identify potential new treatments of human diseases.

Authors

Jens Hansen, Josephine Galatioto, Cristina I. Caescu, Pauline Arnaud, Rhodora C. Calizo, Bart Spronck, Sae-Il Murtada, Roshan Borkar, Alan Weinberg, Evren U. Azeloglu, Maria Bintanel-Morcillo, James M. Gallo, Jay D. Humphrey, Guillaume Jondeau, Catherine Boileau, Francesco Ramirez, Ravi Iyengar

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Figure 2

Baclofen is a predicted potential treatment for TAA.

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Baclofen is a predicted potential treatment for TAA.
(A) Top-ranked pote...
(A) Top-ranked potential drug candidates identified from GO-SCP enrichment analysis of upregulated genes in the CMap database. Bars indicate the minus log10 (P values) of the identified treatments, numbers correspond to the SCPs in the subnetworks of Figure 1E. (B) Target proteins of the indicated drugs annotated in the Drug Bank database (see also Supplemental Table 7); green bar graphs on the right indicate the expression levels of the corresponding mouse genes in the P16 MFS aorta. (C) GO-SCPs identified in the top-ranked list of SCPs derived from baclofen-stimulated genes in the annotated drug treatment baclofen number 2036 of the CMap database (see Supplemental Figure 2A and B). (D) Top-ranked muscle contractility–related GO-SCPs in the combined list of upregulated genes in all baclofen treatments of the CMap database. In panels C and D, muscle contractility–related SCPs are in orange.

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ISSN 2379-3708

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