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Systems genetics of metabolic health in the BXD mouse genetic reference population.
Li, Xiaoxu; Morel, Jean-David; Sulc, Jonathan; De Masi, Alessia; Lalou, Amélia; Benegiamo, Giorgia; Poisson, Johanne; Liu, Yasmine; Von Alvensleben, Giacomo V G; Gao, Arwen W; Bou Sleiman, Maroun; Auwerx, Johan.
Affiliation
  • Li X; Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
  • Morel JD; Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
  • Sulc J; Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
  • De Masi A; Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
  • Lalou A; Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
  • Benegiamo G; Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
  • Poisson J; Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
  • Liu Y; Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
  • Von Alvensleben GVG; Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
  • Gao AW; Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
  • Bou Sleiman M; Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
  • Auwerx J; Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland. Electronic address: admin.auwerx@epfl.ch.
Cell Syst ; 15(6): 497-509.e3, 2024 Jun 19.
Article in En | MEDLINE | ID: mdl-38866010
ABSTRACT
Susceptibility to metabolic syndrome (MetS) is dependent on genetics, environment, and gene-by-environment interactions, rendering the study of underlying mechanisms challenging. The majority of experiments in model organisms do not incorporate genetic variation and lack specific evaluation criteria for MetS. Here, we derived a continuous metric, the metabolic health score (MHS), based on standard clinical parameters and defined its molecular signatures in the liver and circulation. In human UK Biobank, the MHS associated with MetS status and was predictive of future disease incidence, even in individuals without MetS. Using quantitative trait locus analyses in mice, we found two MHS-associated genetic loci and replicated them in unrelated mouse populations. Through a prioritization scheme in mice and human genetic data, we identified TNKS and MCPH1 as candidates mediating differences in the MHS. Our findings provide insights into the molecular mechanisms sustaining metabolic health across species and uncover likely regulators. A record of this paper's transparent peer review process is included in the supplemental information.
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Full text: 1 Database: MEDLINE Main subject: Metabolic Syndrome / Quantitative Trait Loci Limits: Animals / Female / Humans / Male Language: En Year: 2024 Type: Article

Full text: 1 Database: MEDLINE Main subject: Metabolic Syndrome / Quantitative Trait Loci Limits: Animals / Female / Humans / Male Language: En Year: 2024 Type: Article