Inverse Data-Driven Modeling and Multiomics Analysis Reveals Phgdh as a Metabolic Checkpoint of Macrophage Polarization and Proliferation
Jayne Louise Wilson,
Thomas Nägele,
Monika Linke,
Florian Demel,
Stephanie D. Fritsch,
Hannah Katharina Mayr,
Zhengnan Cai,
Karl Katholnig,
Xiaoliang Sun,
Lena Fragner,
Anne Miller,
Arvand Haschemi,
Alexandra Popa,
Andreas Bergthaler,
Markus Hengstschläger,
Thomas Weichhart,
Wolfram Weckwerth
Affiliations
Jayne Louise Wilson
Center of Pathobiochemistry and Genetics, Institute of Medical Genetics, Medical University of Vienna, Vienna 1090, Austria
Thomas Nägele
Department of Ecogenomics and Systems Biology, University of Vienna, Vienna 1090, Austria; Vienna Metabolomics Center (VIME), University of Vienna, Vienna 1090, Austria; Department Biology I, Ludwig Maximilians University Munich, 82152 Planegg-Martinsried, Germany
Monika Linke
Center of Pathobiochemistry and Genetics, Institute of Medical Genetics, Medical University of Vienna, Vienna 1090, Austria
Florian Demel
Center of Pathobiochemistry and Genetics, Institute of Medical Genetics, Medical University of Vienna, Vienna 1090, Austria
Stephanie D. Fritsch
Center of Pathobiochemistry and Genetics, Institute of Medical Genetics, Medical University of Vienna, Vienna 1090, Austria
Hannah Katharina Mayr
Center of Pathobiochemistry and Genetics, Institute of Medical Genetics, Medical University of Vienna, Vienna 1090, Austria
Zhengnan Cai
Department of Ecogenomics and Systems Biology, University of Vienna, Vienna 1090, Austria
Karl Katholnig
Center of Pathobiochemistry and Genetics, Institute of Medical Genetics, Medical University of Vienna, Vienna 1090, Austria
Xiaoliang Sun
Vienna Metabolomics Center (VIME), University of Vienna, Vienna 1090, Austria
Lena Fragner
Department of Ecogenomics and Systems Biology, University of Vienna, Vienna 1090, Austria; Vienna Metabolomics Center (VIME), University of Vienna, Vienna 1090, Austria
Anne Miller
Department of Laboratory Medicine, Medical University of Vienna, Vienna 1090, Austria
Arvand Haschemi
Department of Laboratory Medicine, Medical University of Vienna, Vienna 1090, Austria
Alexandra Popa
CeMM Research Center for Molecular Medicine, Austrian Academy of Sciences, Vienna 1090, Austria
Andreas Bergthaler
CeMM Research Center for Molecular Medicine, Austrian Academy of Sciences, Vienna 1090, Austria
Markus Hengstschläger
Center of Pathobiochemistry and Genetics, Institute of Medical Genetics, Medical University of Vienna, Vienna 1090, Austria
Thomas Weichhart
Center of Pathobiochemistry and Genetics, Institute of Medical Genetics, Medical University of Vienna, Vienna 1090, Austria; Corresponding author
Wolfram Weckwerth
Department of Ecogenomics and Systems Biology, University of Vienna, Vienna 1090, Austria; Vienna Metabolomics Center (VIME), University of Vienna, Vienna 1090, Austria; Corresponding author
Summary: Mechanistic or mammalian target of rapamycin complex 1 (mTORC1) is an important regulator of effector functions, proliferation, and cellular metabolism in macrophages. The biochemical processes that are controlled by mTORC1 are still being defined. Here, we demonstrate that integrative multiomics in conjunction with a data-driven inverse modeling approach, termed COVRECON, identifies a biochemical node that influences overall metabolic profiles and reactions of mTORC1-dependent macrophage metabolism. Using a combined approach of metabolomics, proteomics, mRNA expression analysis, and enzymatic activity measurements, we demonstrate that Tsc2, a negative regulator of mTORC1 signaling, critically influences the cellular activity of macrophages by regulating the enzyme phosphoglycerate dehydrogenase (Phgdh) in an mTORC1-dependent manner. More generally, while lipopolysaccharide (LPS)-stimulated macrophages repress Phgdh activity, IL-4-stimulated macrophages increase the activity of the enzyme required for the expression of key anti-inflammatory molecules and macrophage proliferation. Thus, we identify Phgdh as a metabolic checkpoint of M2 macrophages. : Wilson et al. show that Tsc2, a negative regulator of mTORC1 signaling, critically influences the metabolome of macrophages. Inverse data-driven modeling and multiomics data reveal that Phgdh is an mTORC1-dependent metabolic checkpoint of macrophage proliferation and polarization. Phgdh is required for the expression of key anti-inflammatory molecules and M2 proliferation. Keywords: Tsc2, mTOR, serine/glycine pathway, Phgdh, macrophage polarization, macrophage proliferation, metabolomics, metabolic modeling, biochemical Jacobian, cancer, tumor-associated macrophages