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Query: UMLS:C0028754 (
obesity
)
124,988
document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)
There is increasing evidence that the magnitude and potential of intestinal nutrient absorption (sugars, fatty acids, cholesterol and triglycerides) and intestinal defense function are regulated by metabolic learning phenomena, and are influenced by dietary energy content and exercise. Metabolic overload syndromes, mainly
obesity
, and chronic malabsorption disorders such as inflammatory bowel disease and celiac disease have been defined as extreme phenotypes. Metabolic learning processes depend on developmental and transcriptional control systems of intestinal epithelial cell differentiation. The physiological differentiation zone of enterocytes is linked to the beta-catenin system, apolipoprotein apoA-IV and the master transcription factors Cdx2, HNF1alpha, and GATA4. In addition to these developmental regulatory transcription factors, nuclear receptors including RXR, LXR,
PPAR
, PXR, and CAR have been implicated in the generation of more absorptive enterocytes with a more differentiated phenotype on the one hand, and dedifferentiated cells with reduced capacity of detoxification and defense causing loss of junction control and barrier defects on the other. Large-scale analysis of gene expression profiles and identification of key pathways and master regulatory transcription factors will help dissect the role of nutritional and environmental factors as well as pharmacological intervention on mucosal homeostasis and disease, with potential applications for diagnosis and therapy.
...
PMID:Metabolic learning in the intestine: adaptation to nutrition and luminal factors. 1693 81
Pro12Ala variant of peroxisome-proliferator-activated receptor-gamma2 (PPAR-gamma2) may be linked to insulin sensitivity. This study examined whether an association of
PPAR
-gamma2 Pro12Ala with insulin resistance and plasma LCPUFAs may exist in obese children. One hundred and forty Italian normolipidemic obese children (58 girls and 82 boys, mean age [SD], 10.2 [2.7] y) entered the study.
Obesity
was defined according to International
Obesity
Task Force. BMI Z-scores were calculated. Fasting blood glucose, insulin, lipids and plasma fatty acids were measured. Insulin resistance was estimated by the homeostatic model assessment (HOMA-IR). The frequency of Ala allele was 9%. Mean [SD] values of fasting insulin and HOMA-IR in Pro/Pro versus Pro12Ala groups were: 19.3 [10.6] versus 14.1 [10.4] microU/mL (p = 0.017) and 4.2 [2.3] versus 3.0 [2.3] (p = 0.022). Mean [SD] values of plasma C20:3n-9 and of C20:4n-6, C20:5n-3, C22:6n-3 and n-6/n-3 LCPUFA in phospholipds in Pro/Pro versus Pro12Ala groups were: 0.15 [0.07] versus 0.12 [0.08] % (p = 0.014), 8.9 [1.9] versus 10.2 [2.6] % (p = 0.023), 0.34 [0.15] versus 0.42 [0.11] % (p = 0.005), 2.1 [0.9] versus 2.6 [0.9] % (p = 0.032) and 4.8 [1.2] versus 4.2 [0.7] (p = 0.017). Pro12Ala may be associated with higher insulin sensitivity and higher LCPUFAs, particularly n-3, levels in plasma phosholipids of obese children.
...
PMID:PPAR-gamma2 Pro12Ala variant, insulin resistance and plasma long-chain polyunsaturated fatty acids in childhood obesity. 1694 Feb 42
Mice in which peroxisome proliferator-activated receptor beta (PPARbeta) is selectively ablated in skeletal muscle myocytes were generated to elucidate the role played by PPARbeta signaling in these myocytes. These somatic mutant mice exhibited a muscle fiber-type switching toward lower oxidative capacity that preceded the development of
obesity
and diabetes, thus demonstrating that PPARbeta is instrumental in myocytes to the maintenance of oxidative fibers and that fiber-type switching is likely to be the cause and not the consequence of these metabolic disorders. We also show that PPARbeta stimulates in myocytes the expression of PGC1alpha, a coactivator of various transcription factors, known to play an important role in slow muscle fiber formation. Moreover, as the PGC1alpha promoter contains a
PPAR
response element, the effect of PPARbeta on the formation and/or maintenance of slow muscle fibers can be ascribed, at least in part, to a stimulation of PGC1alpha expression at the transcriptional level.
...
PMID:PGC1alpha expression is controlled in skeletal muscles by PPARbeta, whose ablation results in fiber-type switching, obesity, and type 2 diabetes. 1708 13
Lipid droplet proteins of the PAT (perilipin, adipophilin, and TIP47) family regulate cellular neutral lipid stores. We have studied a new member of this family, PAT-1, and found that it is expressed in highly oxidative tissues. We refer to this protein as "OXPAT." Physiologic lipid loading of mouse liver by fasting enriches OXPAT in the lipid droplet tissue fraction. OXPAT resides on lipid droplets with the PAT protein adipophilin in primary cardiomyocytes. Ectopic expression of OXPAT promotes fatty acid-induced triacylglycerol accumulation, long-chain fatty acid oxidation, and mRNAs associated with oxidative metabolism. Consistent with these observations, OXPAT is induced in mouse adipose tissue, striated muscle, and liver by physiological (fasting), pathophysiological (insulin deficiency), pharmacological (peroxisome proliferator-activated receptor [
PPAR
] agonists), and genetic (muscle-specific PPARalpha overexpression) perturbations that increase fatty acid utilization. In humans with impaired glucose tolerance, PPARgamma agonist treatment induces adipose OXPAT mRNA. Further, adipose OXPAT mRNA negatively correlates with BMI in nondiabetic humans. Our collective data in cells, mice, and humans suggest that OXPAT is a marker for
PPAR
activation and fatty acid oxidation. OXPAT likely contributes to adaptive responses to the fatty acid burden that accompanies fasting, insulin deficiency, and overnutrition, responses that are defective in
obesity
and type 2 diabetes.
...
PMID:OXPAT/PAT-1 is a PPAR-induced lipid droplet protein that promotes fatty acid utilization. 1713 Apr 88
Obesity
is a low grade inflammatory state associated with premature cardiovascular morbidity and mortality. Along with traditional risk factors the measurement of endothelial function, insulin resistance, inflammation and arterial stiffness may contribute to the assessment of cardiovascular risk. We conducted a randomised placebo controlled trial to assess the effects of 12 weeks treatment with a
PPAR
alpha agonist (fenofibrate) and a PPAR gamma agonist (pioglitazone) on these parameters in obese glucose tolerant men. Arterial stiffness was measured using augmentation index and pulse wave velocity (PWV). E-selectin, VCAM-1 and ICAM-1 were used as markers of endothelial function. Insulin sensitivity improved with pioglitazone treatment (p=0.001) and, in keeping with this, adiponectin increased by 85.2% (p<0.001). Pro-inflammatory cytokine levels (TNFalpha, IL-6 and IL-1 beta) fell with both treatments (p<0.01 for TNFalpha and IL-1 beta, p<0.001 for IL-6). VCAM-1 and ICAM-1 were reduced with both treatments (p<0.001 for VCAM-1, p<0.05 for ICAM-1) and E-selectin improved with pioglitazone treatment (p=0.05). Both treatments resulted in a fall in augmentation index. PWV fell by 17.4% with fenofibrate treatment (p<0.001) and 16.3% with pioglitazone treatment (p<0.001). Pioglitazone and fenofibrate treatment of obese, glucose tolerant men reduces inflammation, improves markers of endothelial function and reduces arterial stiffness. These results suggest that treatment with
PPAR
agonists has potential to reduce the incidence of premature cardiovascular disease associated with
obesity
.
...
PMID:Fenofibrate and pioglitazone improve endothelial function and reduce arterial stiffness in obese glucose tolerant men. 1714 61
Several pathophysiological explanations for the metabolic syndrome have been proposed involving insulin resistance, chronic inflammation and ectopic fat accumulation following adipose tissue saturation. However, current concepts create several paradoxes, including limited cardiovascular risk reduction with intensive glucose control in diabetics, therapies that result in weight gain (
PPAR
agonists), and presence of some of the metabolic traits among some lipodystrophies. We propose the functional failure of an organ, in this case, the adipose tissue as a model to interpret its manifestations and to reconcile some of the apparent paradox. A cornerstone of this model is the failure of the adipose tissue to buffer postprandial lipids. In addition, homeostatic feedback loops guide physiological and pathological adipose tissue activities. Fat turnover is determined by a complex equilibrium in which insulin is a main factor but not the only one. Chronically inadequate energy balance may be a key factor, stressing the system. In this situation, an adipose tissue functional failure occurs resulting in changes in systemic energy delivery, impaired glucose consumption and activation of self-regulatory mechanisms that extend their influence to whole body homeostasis system. These include changes in adipokines secretion and vascular effects. The functional capacity of the adipose tissue varies among subjects explaining the incomplete overlapping among the metabolic syndrome and
obesity
. Variations at multiple gene loci will be partially responsible for these interindividual differences. Two of those candidate genes, the adiponectin (APM1) and the perilipin (PLIN) genes, are discussed in more detail.
...
PMID:Metabolic syndrome pathophysiology: the role of adipose tissue. 1727 Apr 3
Uncoupling proteins (UCPs) are mitochondrial membrane transporters involved in the control of energy conversion in mitochondria. Experimental and genetic evidence relate dysfunctions of UCPs with metabolic syndrome and
obesity
. The
PPAR
subtypes mediate to a large extent the transcriptional regulation of the UCP genes, with a distinct relevance depending on the UCP gene and the tissue in which it is expressed. UCP1 gene is under the dual control of PPARgamma and PPARalpha in relation to brown adipocyte differentiation and lipid oxidation, respectively. UCP3 gene is regulated by PPARalpha and PPARdelta in the muscle, heart, and adipose tissues. UCP2 gene is also under the control of PPARs even in tissues in which it is the predominantly expressed UCP (eg, the pancreas and liver). This review summarizes the current understanding of the role of PPARs in UCPs gene expression in normal conditions and also in the context of type-2 diabetes or
obesity
.
PPAR
Res 2007
PMID:PPARs in the Control of Uncoupling Proteins Gene Expression. 1738 66
The interest in genetic manipulations of PPARs is as old as their discovery as receptors of ligands with beneficial clinical activities. Considering the effects of
PPAR
ligands on critical aspects of systemic physiology, including
obesity
, lipid metabolism, insulin resistance, and diabetes, gene knockout (KO) in mice is the ideal platform for both hypothesis testing and discovery of new
PPAR
functions in vivo. With the fervent pursuit of the magic bullet to eradicate the
obesity
epidemic, special emphasis has been placed on the impacts of PPARs on
obesity
and its associated diseases. As detailed in this review, understanding how PPARs regulate gene expression and basic metabolic pathways is a necessary intermediate en route to deciphering their effects on
obesity
. Over a decade and dozens of genetic modifications of PPARs into this effort, valuable lessons have been learned, but we are left with more questions to be answered. These lessons and future prospects are the subject of this review.
PPAR
Res 2007
PMID:Genetic manipulations of PPARs: effects on obesity and metabolic disease. 1738 68
Peroxisome proliferator-activated receptor gamma (PPAR-gamma) is a key regulator of lipid metabolism and energy balance implicated in the development of insulin resistance and
obesity
. The identification of putative natural and synthetic ligands and activators of PPAR-gamma has helped to unravel the molecular basis of its function, including molecular details regarding ligand binding, conformational changes of the receptor, and cofactor binding, leading to the emergence of the concept of selective PPAR-gamma modulators (SPPARgammaMs). SPPARgammaMs bind in distinct manners to the ligand-binding pocket of PPAR-gamma, leading to alternative receptor conformations, differential cofactor recruitment/displacement, differential gene expression, and ultimately differential biological responses. Based on this concept, new and improved antidiabetic agents for the treatment of diabetes are in development. This review summarizes the current knowledge on the mechanism of action and biological effects of recently characterized SPPARgammaMs, including metaglidasen/halofenate, PA-082, and the angiotensin receptor antagonists, recently characterized as a new class of SPPARgammaMs.
PPAR
Res 2007
PMID:Selective Modulators of PPAR-gamma Activity: Molecular Aspects Related to Obesity and Side-Effects. 1738 69
At a time when the twin epidemics of
obesity
and type 2 diabetes threaten to engulf even the most well-resourced Western healthcare systems, the nuclear receptor peroxisome proliferator-activated receptor gamma (PPARgamma) has emerged as a bona fide therapeutic target for treating human metabolic disease. The novel insulin-sensitizing antidiabetic thiazolidinediones (TZDs, e.g., rosiglitazone, pioglitazone), which are licensed for use in the treatment of type 2 diabetes, are high-affinity PPARgamma ligands, whose beneficial effects extend beyond improvement in glycaemic control to include amelioration of dyslipidaemia, lowering of blood pressure, and favourable modulation of macrophage lipid handling and inflammatory responses. However, a major drawback to the clinical use of exisiting TZDs is weight gain, reflecting both enhanced adipogenesis and fluid retention, neither of which is desirable in a population that is already overweight and prone to cardiovascular disease. Accordingly, the "search is on" to identify the next generation of PPARgamma modulators that will promote maximal clinical benefit by targeting specific facets of the metabolic syndrome (glucose intolerance/diabetes, dyslipidaemia, and hypertension), while simultaneously avoiding undesirable side effects of PPARgamma activation (e.g., weight gain). This paper outlines the important clinical and laboratory observations made in human subjects harboring genetic variations in PPARgamma that support such a therapeutic strategy.
PPAR
Res 2007
PMID:'Striking the Right Balance' in Targeting PPARgamma in the Metabolic Syndrome: Novel Insights from Human Genetic Studies. 1738 71
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