Systems Pharmacology Identifies an Arterial Wall Regulatory Gene Network Mediating Coronary Artery Disease Side Effects of Antiretroviral Therapy.


Journal

Circulation. Genomic and precision medicine
ISSN: 2574-8300
Titre abrégé: Circ Genom Precis Med
Pays: United States
ID NLM: 101714113

Informations de publication

Date de publication:
06 2019
Historique:
pubmed: 7 5 2019
medline: 18 8 2020
entrez: 7 5 2019
Statut: ppublish

Résumé

Antiretroviral therapy (ART) for HIV infection increases risk for coronary artery disease (CAD), presumably by causing dyslipidemia and increased atherosclerosis. We applied systems pharmacology to identify and validate specific regulatory gene networks through which ART drugs may promote CAD. Transcriptional responses of human cell lines to 15 ART drugs retrieved from the Library of Integrated Cellular Signatures (overall 1127 experiments) were used to establish consensus ART gene/transcriptional signatures. Next, enrichments of differentially expressed genes and gene-gene connectivity within these ART-consensus signatures were sought in 30 regulatory gene networks associated with CAD and CAD-related phenotypes in the Stockholm Atherosclerosis Gene Expression study. Ten of 15 ART signatures were significantly enriched both for differential expression and connectivity in a specific atherosclerotic arterial wall regulatory gene network (AR-RGN) causal for CAD involving RNA processing genes. An atherosclerosis in vitro model of cholestryl ester-loaded foam cells was then used for experimental validation. Treatments of these foam cells with ritonavir, nelfinavir, and saquinavir at least doubled cholestryl ester accumulation ( P=0.02, 0.0009, and 0.02, respectively), whereas RNA silencing of the AR-RGN top key driver, PQBP1 (polyglutamine binding protein 1), significantly curbed cholestryl ester accumulation following treatment with any of these ART drugs by >37% ( P<0.05). By applying a novel systems pharmacology data analysis framework, 3 commonly used ARTs (ritonavir, nelfinavir, and saquinavir) were found altering the activity of AR-RGN, a regulatory gene network promoting foam cell formation and risk of CAD. Targeting AR-RGN or its top key driver PQBP1 may help reduce CAD side effects of these ART drugs.

Sections du résumé

BACKGROUND
Antiretroviral therapy (ART) for HIV infection increases risk for coronary artery disease (CAD), presumably by causing dyslipidemia and increased atherosclerosis. We applied systems pharmacology to identify and validate specific regulatory gene networks through which ART drugs may promote CAD.
METHODS
Transcriptional responses of human cell lines to 15 ART drugs retrieved from the Library of Integrated Cellular Signatures (overall 1127 experiments) were used to establish consensus ART gene/transcriptional signatures. Next, enrichments of differentially expressed genes and gene-gene connectivity within these ART-consensus signatures were sought in 30 regulatory gene networks associated with CAD and CAD-related phenotypes in the Stockholm Atherosclerosis Gene Expression study.
RESULTS
Ten of 15 ART signatures were significantly enriched both for differential expression and connectivity in a specific atherosclerotic arterial wall regulatory gene network (AR-RGN) causal for CAD involving RNA processing genes. An atherosclerosis in vitro model of cholestryl ester-loaded foam cells was then used for experimental validation. Treatments of these foam cells with ritonavir, nelfinavir, and saquinavir at least doubled cholestryl ester accumulation ( P=0.02, 0.0009, and 0.02, respectively), whereas RNA silencing of the AR-RGN top key driver, PQBP1 (polyglutamine binding protein 1), significantly curbed cholestryl ester accumulation following treatment with any of these ART drugs by >37% ( P<0.05).
CONCLUSIONS
By applying a novel systems pharmacology data analysis framework, 3 commonly used ARTs (ritonavir, nelfinavir, and saquinavir) were found altering the activity of AR-RGN, a regulatory gene network promoting foam cell formation and risk of CAD. Targeting AR-RGN or its top key driver PQBP1 may help reduce CAD side effects of these ART drugs.

Identifiants

pubmed: 31059280
doi: 10.1161/CIRCGEN.118.002390
pmc: PMC6601350
mid: NIHMS1528747
doi:

Substances chimiques

Anti-Retroviral Agents 0
Cholesterol Esters 0
DNA-Binding Proteins 0
PQBP1 protein, human 0
Nelfinavir HO3OGH5D7I
Saquinavir L3JE09KZ2F
Ritonavir O3J8G9O825

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e002390

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL125863
Pays : United States
Organisme : NCATS NIH HHS
ID : UH2 TR002067
Pays : United States
Organisme : NHLBI NIH HHS
ID : R03 HL135289
Pays : United States
Organisme : NIH HHS
ID : S10 OD018522
Pays : United States
Organisme : NHGRI NIH HHS
ID : R01 HG010649
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI027757
Pays : United States
Organisme : NHLBI NIH HHS
ID : K23 HL111339
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA047045
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL125027
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL130423
Pays : United States
Organisme : NCATS NIH HHS
ID : R21 TR001739
Pays : United States

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Auteurs

Itziar Frades (I)

Department of Genetics and Genomic Sciences (I.F., B.R., L.A., S.K., J.T.D., C.G., J.L.M.B., I.P.), Icahn School of Medicine at Mount Sinai, New York, NY.

Ben Readhead (B)

Department of Genetics and Genomic Sciences (I.F., B.R., L.A., S.K., J.T.D., C.G., J.L.M.B., I.P.), Icahn School of Medicine at Mount Sinai, New York, NY.
Icahn Institute for Data Science and Genomic Technology (B.R., J.T.D., J.L.M.B., I.P.), Icahn School of Medicine at Mount Sinai, New York, NY.
Institute for Next Generation Healthcare (B.R., J.T.D.), Icahn School of Medicine at Mount Sinai, New York, NY.
ASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe (B.R.).

Letizia Amadori (L)

Department of Genetics and Genomic Sciences (I.F., B.R., L.A., S.K., J.T.D., C.G., J.L.M.B., I.P.), Icahn School of Medicine at Mount Sinai, New York, NY.

Simon Koplev (S)

Department of Genetics and Genomic Sciences (I.F., B.R., L.A., S.K., J.T.D., C.G., J.L.M.B., I.P.), Icahn School of Medicine at Mount Sinai, New York, NY.

Husain A Talukdar (HA)

Department of Medicine, Integrated Cardio Metabolic Centre, Karolinska Institutet, Karolinska Universitetssjukhuset, Huddinge, Sweden (H.A.T., J.L.M.B.).

Heidi M Crane (HM)

Department of Medicine, University of Washington, Seattle (H.M.C., P.K.C.).

Paul K Crane (PK)

Department of Medicine, University of Washington, Seattle (H.M.C., P.K.C.).

Jason C Kovacic (JC)

Department of Medicine (J.C.K.), Icahn School of Medicine at Mount Sinai, New York, NY.
Cardiovascular Research Center (J.C.K., C.G.), Icahn School of Medicine at Mount Sinai, New York, NY.

Joel T Dudley (JT)

Department of Genetics and Genomic Sciences (I.F., B.R., L.A., S.K., J.T.D., C.G., J.L.M.B., I.P.), Icahn School of Medicine at Mount Sinai, New York, NY.
Icahn Institute for Data Science and Genomic Technology (B.R., J.T.D., J.L.M.B., I.P.), Icahn School of Medicine at Mount Sinai, New York, NY.
Institute for Next Generation Healthcare (B.R., J.T.D.), Icahn School of Medicine at Mount Sinai, New York, NY.

Chiara Giannarelli (C)

Department of Genetics and Genomic Sciences (I.F., B.R., L.A., S.K., J.T.D., C.G., J.L.M.B., I.P.), Icahn School of Medicine at Mount Sinai, New York, NY.
Cardiovascular Research Center (J.C.K., C.G.), Icahn School of Medicine at Mount Sinai, New York, NY.
Precision Immunology Institute (C.G.), Icahn School of Medicine at Mount Sinai, New York, NY.

Johan L M Björkegren (JLM)

Department of Genetics and Genomic Sciences (I.F., B.R., L.A., S.K., J.T.D., C.G., J.L.M.B., I.P.), Icahn School of Medicine at Mount Sinai, New York, NY.
Icahn Institute for Data Science and Genomic Technology (B.R., J.T.D., J.L.M.B., I.P.), Icahn School of Medicine at Mount Sinai, New York, NY.
Department of Medicine, Integrated Cardio Metabolic Centre, Karolinska Institutet, Karolinska Universitetssjukhuset, Huddinge, Sweden (H.A.T., J.L.M.B.).

Inga Peter (I)

Department of Genetics and Genomic Sciences (I.F., B.R., L.A., S.K., J.T.D., C.G., J.L.M.B., I.P.), Icahn School of Medicine at Mount Sinai, New York, NY.
Icahn Institute for Data Science and Genomic Technology (B.R., J.T.D., J.L.M.B., I.P.), Icahn School of Medicine at Mount Sinai, New York, NY.

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