2017
DOI: 10.3389/fncel.2017.00313
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Obesity Increases Mitogen-Activated Protein Kinase Phosphatase-3 Levels in the Hypothalamus of Mice

Abstract: Mitogen-activated Protein Kinase Phosphatase 3 (MKP-3) has been involved in the negative regulation of insulin signaling. The absence of MKP-3 is also associated with reduced adiposity, increased energy expenditure and improved insulin sensitivity. The MKP-3 is known as the main Erk1/2 phosphatase and FoxO1 activator, which has repercussions on the gluconeogenesis pathway and hyperglycemia in obese mice. Recently, we showed that MKP-3 overexpression decreases FoxO1 phosphorylation in the hypothalamus of lean m… Show more

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Cited by 12 publications
(9 citation statements)
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“…The BXD Family Is the Largest and the Most Deeply Phenotyped Mammalian Genetic Reference Panel Data sets for the BXD encompass multiple levels-from single molecules to complex behavioral repertoires and to traits measured with environmental perturbations, including exposure to alcohol and drugs of abuse (Dickson et al, 2019;Mulligan et al, 2018;Thé berge et al, 2019;Zhou et al, 2018), infectious agents (Boon et al, 2014;Chella Krishnan et al, 2016;Russo et al, 2015), dietary modifications (Fleet et al, 2016;Jha et al, 2018bJha et al, , 2018aJones and Jellen, 2017;Reyes Fernandez et al, 2016;Rodrigues et al, 2017), stress (Diessler et al, 2018;Jung et al, 2017), and even as a function of age (Sandoval-Sierra et al, 2020;Williams et al, 2020). This phenome is linked to over 500 publications, including state-of-the-art proteome, metabolome (Williams et al, 2018(Williams et al, , 2020, epigenome (Baker et al, 2019;Sandoval-Sierra et al, 2019), and metagenome (Perez-Munoz et al, 2019) data sets available on GeneNetwork.org.…”
Section: Improved Power and Precision Of Mapping Bxd Phenotypes-a 50-year Path Of Progressmentioning
confidence: 99%
“…The BXD Family Is the Largest and the Most Deeply Phenotyped Mammalian Genetic Reference Panel Data sets for the BXD encompass multiple levels-from single molecules to complex behavioral repertoires and to traits measured with environmental perturbations, including exposure to alcohol and drugs of abuse (Dickson et al, 2019;Mulligan et al, 2018;Thé berge et al, 2019;Zhou et al, 2018), infectious agents (Boon et al, 2014;Chella Krishnan et al, 2016;Russo et al, 2015), dietary modifications (Fleet et al, 2016;Jha et al, 2018bJha et al, , 2018aJones and Jellen, 2017;Reyes Fernandez et al, 2016;Rodrigues et al, 2017), stress (Diessler et al, 2018;Jung et al, 2017), and even as a function of age (Sandoval-Sierra et al, 2020;Williams et al, 2020). This phenome is linked to over 500 publications, including state-of-the-art proteome, metabolome (Williams et al, 2018(Williams et al, , 2020, epigenome (Baker et al, 2019;Sandoval-Sierra et al, 2019), and metagenome (Perez-Munoz et al, 2019) data sets available on GeneNetwork.org.…”
Section: Improved Power and Precision Of Mapping Bxd Phenotypes-a 50-year Path Of Progressmentioning
confidence: 99%
“…Fasting activates ERK1/2 in the ARC and the paraventricular nucleus in mice [86,87] and the activation is reversed by refeeding [87]. Obesity is associated with increased protein levels of hypothalamic MAPK phosphatase-3 (MKP-3), which is related to the reduction of ERK1/2 phosphorylation in the hypothalamus as well as to an increase in body weight and a reduction in energy expenditure [88]. In parallel, leptin acts on the hypothalamus through its receptor, increasing the phosphorylation (Thr202/Tyr204) of ERK1/2 [89,90].…”
Section: The Central Role Of Erk1/2 In Regulation Of Appetite and Enementioning
confidence: 99%
“…The BXDs are well suited to studying gene-by-environmental interactions (GXE) and for experimental precision medicine 11 . For almost 50 years, they have been used to study the genetic and environmental factors that underlie a diverse collection of phenotypes, including environmental toxicant exposures, alcohol and drugs of abuse [64][65][66][67][68] , infectious agents [69][70][71][72][73] , diets [74][75][76][77][78][79] , and stressors 80,81 . Beyond this, there are also extensive -omics data available for many BXD family members, including over 100 transcriptome datasets (e.g, 82,83 ), as well as more recent miRNA 84,85 , proteome [86][87][88] , metabolome 83,88,89 , epigenome 16,90 , and metagenome 91,92 profiles.…”
Section: Discussionmentioning
confidence: 99%