Comparative Transcriptional Network Modeling of Three PPAR-α/γ Co-Agonists Reveals Distinct Metabolic Gene Signatures in Primary Human Hepatocytes

Aims: To compare the molecular and biologic signatures of a balanced dual peroxisome proliferator-activated receptor (PPAR)-α/γ agonist, aleglitazar, with tesaglitazar (a dual PPAR-α/γ agonist) or a combination of pioglitazone (Pio; PPAR-γ agonist) and fenofibrate (Feno; PPAR-α agonist) in human...

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Main Authors: Deehan, Renee, Maerz-Weiss, Pia, Catlett, Natalie L., Steiner, Guido, Wong, Ben, Wright, Matthew B., Blander, Gil, Elliston, Keith O., Ladd, William, Bobadilla, Maria, Mizrahi, Jacques, Haefliger, Carolina, Edgar, Alan
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Language:en_US
Published: Public Library of Science 2012
Online Access:http://hdl.handle.net/1721.1/71740
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author Deehan, Renee
Maerz-Weiss, Pia
Catlett, Natalie L.
Steiner, Guido
Wong, Ben
Wright, Matthew B.
Blander, Gil
Elliston, Keith O.
Ladd, William
Bobadilla, Maria
Mizrahi, Jacques
Haefliger, Carolina
Edgar, Alan
author2 Massachusetts Institute of Technology. Department of Biology
author_facet Massachusetts Institute of Technology. Department of Biology
Deehan, Renee
Maerz-Weiss, Pia
Catlett, Natalie L.
Steiner, Guido
Wong, Ben
Wright, Matthew B.
Blander, Gil
Elliston, Keith O.
Ladd, William
Bobadilla, Maria
Mizrahi, Jacques
Haefliger, Carolina
Edgar, Alan
author_sort Deehan, Renee
collection MIT
description Aims: To compare the molecular and biologic signatures of a balanced dual peroxisome proliferator-activated receptor (PPAR)-α/γ agonist, aleglitazar, with tesaglitazar (a dual PPAR-α/γ agonist) or a combination of pioglitazone (Pio; PPAR-γ agonist) and fenofibrate (Feno; PPAR-α agonist) in human hepatocytes. Methods and Results: Gene expression microarray profiles were obtained from primary human hepatocytes treated with EC50-aligned low, medium and high concentrations of the three treatments. A systems biology approach, Causal Network Modeling, was used to model the data to infer upstream molecular mechanisms that may explain the observed changes in gene expression. Aleglitazar, tesaglitazar and Pio/Feno each induced unique transcriptional signatures, despite comparable core PPAR signaling. Although all treatments inferred qualitatively similar PPAR-α signaling, aleglitazar was inferred to have greater effects on high- and low-density lipoprotein cholesterol levels than tesaglitazar and Pio/Feno, due to a greater number of gene expression changes in pathways related to high-density and low-density lipoprotein metabolism. Distinct transcriptional and biologic signatures were also inferred for stress responses, which appeared to be less affected by aleglitazar than the comparators. In particular, Pio/Feno was inferred to increase NFE2L2 activity, a key component of the stress response pathway, while aleglitazar had no significant effect. All treatments were inferred to decrease proliferative signaling. Conclusions: Aleglitazar induces transcriptional signatures related to lipid parameters and stress responses that are unique from other dual PPAR-α/γ treatments. This may underlie observed favorable changes in lipid profiles in animal and clinical studies with aleglitazar and suggests a differentiated gene profile compared with other dual PPAR-α/γ agonist treatments.
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spelling mit-1721.1/717402022-10-02T07:04:32Z Comparative Transcriptional Network Modeling of Three PPAR-α/γ Co-Agonists Reveals Distinct Metabolic Gene Signatures in Primary Human Hepatocytes Deehan, Renee Maerz-Weiss, Pia Catlett, Natalie L. Steiner, Guido Wong, Ben Wright, Matthew B. Blander, Gil Elliston, Keith O. Ladd, William Bobadilla, Maria Mizrahi, Jacques Haefliger, Carolina Edgar, Alan Massachusetts Institute of Technology. Department of Biology Blander, Gil Blander, Gil Aims: To compare the molecular and biologic signatures of a balanced dual peroxisome proliferator-activated receptor (PPAR)-α/γ agonist, aleglitazar, with tesaglitazar (a dual PPAR-α/γ agonist) or a combination of pioglitazone (Pio; PPAR-γ agonist) and fenofibrate (Feno; PPAR-α agonist) in human hepatocytes. Methods and Results: Gene expression microarray profiles were obtained from primary human hepatocytes treated with EC50-aligned low, medium and high concentrations of the three treatments. A systems biology approach, Causal Network Modeling, was used to model the data to infer upstream molecular mechanisms that may explain the observed changes in gene expression. Aleglitazar, tesaglitazar and Pio/Feno each induced unique transcriptional signatures, despite comparable core PPAR signaling. Although all treatments inferred qualitatively similar PPAR-α signaling, aleglitazar was inferred to have greater effects on high- and low-density lipoprotein cholesterol levels than tesaglitazar and Pio/Feno, due to a greater number of gene expression changes in pathways related to high-density and low-density lipoprotein metabolism. Distinct transcriptional and biologic signatures were also inferred for stress responses, which appeared to be less affected by aleglitazar than the comparators. In particular, Pio/Feno was inferred to increase NFE2L2 activity, a key component of the stress response pathway, while aleglitazar had no significant effect. All treatments were inferred to decrease proliferative signaling. Conclusions: Aleglitazar induces transcriptional signatures related to lipid parameters and stress responses that are unique from other dual PPAR-α/γ treatments. This may underlie observed favorable changes in lipid profiles in animal and clinical studies with aleglitazar and suggests a differentiated gene profile compared with other dual PPAR-α/γ agonist treatments. 2012-07-20T19:11:07Z 2012-07-20T19:11:07Z 2012-04 2011-10 Article http://purl.org/eprint/type/JournalArticle 1932-6203 http://hdl.handle.net/1721.1/71740 Deehan, Renée et al. “Comparative Transcriptional Network Modeling of Three PPAR-α/γ Co-Agonists Reveals Distinct Metabolic Gene Signatures in Primary Human Hepatocytes.” Ed. Zhi Xie. PLoS ONE 7.4 (2012): e35012. en_US http://dx.doi.org/10.1371/journal.pone.0035012 PLoS ONE Creative Commons Attribution http://creativecommons.org/licenses/by/2.5/ application/pdf Public Library of Science PLoS
spellingShingle Deehan, Renee
Maerz-Weiss, Pia
Catlett, Natalie L.
Steiner, Guido
Wong, Ben
Wright, Matthew B.
Blander, Gil
Elliston, Keith O.
Ladd, William
Bobadilla, Maria
Mizrahi, Jacques
Haefliger, Carolina
Edgar, Alan
Comparative Transcriptional Network Modeling of Three PPAR-α/γ Co-Agonists Reveals Distinct Metabolic Gene Signatures in Primary Human Hepatocytes
title Comparative Transcriptional Network Modeling of Three PPAR-α/γ Co-Agonists Reveals Distinct Metabolic Gene Signatures in Primary Human Hepatocytes
title_full Comparative Transcriptional Network Modeling of Three PPAR-α/γ Co-Agonists Reveals Distinct Metabolic Gene Signatures in Primary Human Hepatocytes
title_fullStr Comparative Transcriptional Network Modeling of Three PPAR-α/γ Co-Agonists Reveals Distinct Metabolic Gene Signatures in Primary Human Hepatocytes
title_full_unstemmed Comparative Transcriptional Network Modeling of Three PPAR-α/γ Co-Agonists Reveals Distinct Metabolic Gene Signatures in Primary Human Hepatocytes
title_short Comparative Transcriptional Network Modeling of Three PPAR-α/γ Co-Agonists Reveals Distinct Metabolic Gene Signatures in Primary Human Hepatocytes
title_sort comparative transcriptional network modeling of three ppar α γ co agonists reveals distinct metabolic gene signatures in primary human hepatocytes
url http://hdl.handle.net/1721.1/71740
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