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A tissue- and organ-based cell biological atlas of obesity-related human genes and cellular pathways

View ORCID ProfileIman Tavassoly, Valentina Barbieri, Coen van Hasselt, Pedro Martinez, Eric A. Sobie, Jens Hansen, Evren Azeloglu, Joseph Goldfarb, Philippe Sanseau, Deepak K Rajpal, Ravi Iyengar
doi: https://doi.org/10.1101/2020.03.16.993824
Iman Tavassoly
1Department of Pharmacological Sciences and Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York NY 10029, USA
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  • ORCID record for Iman Tavassoly
Valentina Barbieri
1Department of Pharmacological Sciences and Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York NY 10029, USA
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Coen van Hasselt
1Department of Pharmacological Sciences and Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York NY 10029, USA
2Leiden Academic Centre for Drug Research, LACDR/Pharmacology, Einsteinweg 55, 2333 CC Leiden, The Netherlands
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Pedro Martinez
1Department of Pharmacological Sciences and Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York NY 10029, USA
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Eric A. Sobie
1Department of Pharmacological Sciences and Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York NY 10029, USA
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Jens Hansen
1Department of Pharmacological Sciences and Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York NY 10029, USA
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Evren Azeloglu
3Department of Medicine – Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York NY 10029, USA
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Joseph Goldfarb
1Department of Pharmacological Sciences and Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York NY 10029, USA
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Philippe Sanseau
4GSK, Medicines Research Center, Gunnels Wood Road, Stevenage SG1 2NY, UK
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Deepak K Rajpal
5GSK,1250 South Collegeville Road, Collegeville, PA 19426, USA
6Bioinformatics, Translational Sciences, Sanofi, Cambridge, MA 02139, USA
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Ravi Iyengar
1Department of Pharmacological Sciences and Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York NY 10029, USA
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  • For correspondence: ravi.iyengar@mssm.edu
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Abstract

Over the last decades, several features of obesity have been identified at behavioral, physiological, endocrine and genomic levels, and they have revealed the complexity of the disease; obesity results from a combination of genetic predisposition, endocrine disorders, and dysregulation of both food intake and energy expenditure. This complexity makes the development of new therapeutic regimens challenging and bariatric surgery is still the treatment of choice for many obese patients. Given the need for noninvasive therapeutic intervention strategies, we sought to systematically study the biological manifestations of obesity in peripheral organs. We analyzed publicly available datasets of genes, genomic determinants, and levels of obesity-related hormones in the blood, using a combination of methodologies, including graph theory and dynamical modeling, that allow for the integration of different types of datasets. The analysis revealed tissue- and organ-specific metabolic impairments and potential new drug targets. All the data are organized into a tissue/organ-based subcellular-function atlas for human obesity. The data show that the complexity of the obesity arises due to the multiplicity of subcellular processes in different peripheral organs.

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Posted March 18, 2020.
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A tissue- and organ-based cell biological atlas of obesity-related human genes and cellular pathways
Iman Tavassoly, Valentina Barbieri, Coen van Hasselt, Pedro Martinez, Eric A. Sobie, Jens Hansen, Evren Azeloglu, Joseph Goldfarb, Philippe Sanseau, Deepak K Rajpal, Ravi Iyengar
bioRxiv 2020.03.16.993824; doi: https://doi.org/10.1101/2020.03.16.993824
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A tissue- and organ-based cell biological atlas of obesity-related human genes and cellular pathways
Iman Tavassoly, Valentina Barbieri, Coen van Hasselt, Pedro Martinez, Eric A. Sobie, Jens Hansen, Evren Azeloglu, Joseph Goldfarb, Philippe Sanseau, Deepak K Rajpal, Ravi Iyengar
bioRxiv 2020.03.16.993824; doi: https://doi.org/10.1101/2020.03.16.993824

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