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The role of chemerin in clear cell renal cell carcinoma

ABSTRACT: The most common subset of renal carcinoma, clear cell renal cell carcinoma (ccRCC), is characterized by accentuated accumulation of neutral lipids in lipid droplets and adipogenic trans-differentiation. Because obesity is a major risk factor in the development of ccRCC, we investigated the role of the adipokines in driving lipid metabolism and tumorigenesis in ccRCC. Through in silico screening, we identified the adipokine chemerin as candidate pro-oncogenic factor that is overexpressed in tumors and prognostic for patient outcome. Both ccRCC patient tumor tissues and serum exhibit elevated chemerin levels as compared to normal controls in an obesity-dependent manner. Attenuation of chemerin by several approaches in ccRCC cells led to significant impairments of tumor growth in both in vitro and in vivo models. A multi-omic approach revealed that chemerin suppresses fatty acid oxidation and maintains fatty acid levels which feed into transcriptional activation of hypoxia-inducible factor 2 (HIF2) expression. Suppression of chemerin therefore induced excess fatty acid oxidation and led to ferroptosis. CoQ and mitochondrial complex IV, derived mainly from lipid, were affected after chemerin inhibition, contributing to mitochondrial dysfunction and lipid reactive oxygen species production. Monoclonal antibody targeting chemerin led to reduced lipid storage, increased cell death, and diminished tumor growth, strengthening the translational potential of chemerin inhibition. Collectively, the results suggest that obesity and tumor cells contribute to ccRCC through the expression of chemerin, which is indispensable in ccRCC biology.

ORGANISM(S): Homo sapiens

PROVIDER: GSE159716 | GEO | 2021/08/11

REPOSITORIES: GEO

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Project description:vanEunen2013 - Network dynamics of fatty acid β-oxidation (steady-state model) Lipid metabolism plays an important role in the development of metabolic syndrome, a major risk factor for cardiovascular disease and diabetes. This model gives insights into the response of lipid oxidation to dietart and medical interventions. The model predicts the rate of lipid oxidation and the time course of most acyl carnitines. There are two models described in the paper, (i) steady-state model [ BIOMD0000000505 ], (ii) time-course model [ BIOMD0000000506 ]. This model corresponds to the steady-state model. This model is described in the article: Biochemical competition makes fatty-acid β-oxidation vulnerable to substrate overload. van Eunen K, Simons SM, Gerding A, Bleeker A, den Besten G, Touw CM, Houten SM, Groen BK, Krab K, Reijngoud DJ, Bakker BM. PLoS Comput Biol. 2013;9(8):e1003186. Abstract: Fatty-acid metabolism plays a key role in acquired and inborn metabolic diseases. To obtain insight into the network dynamics of fatty-acid β-oxidation, we constructed a detailed computational model of the pathway and subjected it to a fat overload condition. The model contains reversible and saturable enzyme-kinetic equations and experimentally determined parameters for rat-liver enzymes. It was validated by adding palmitoyl CoA or palmitoyl carnitine to isolated rat-liver mitochondria: without refitting of measured parameters, the model correctly predicted the β-oxidation flux as well as the time profiles of most acyl-carnitine concentrations. Subsequently, we simulated the condition of obesity by increasing the palmitoyl-CoA concentration. At a high concentration of palmitoyl CoA the β-oxidation became overloaded: the flux dropped and metabolites accumulated. This behavior originated from the competition between acyl CoAs of different chain lengths for a set of acyl-CoA dehydrogenases with overlapping substrate specificity. This effectively induced competitive feedforward inhibition and thereby led to accumulation of CoA-ester intermediates and depletion of free CoA (CoASH). The mitochondrial [NAD⁺]/[NADH] ratio modulated the sensitivity to substrate overload, revealing a tight interplay between regulation of β-oxidation and mitochondrial respiration. This model is hosted on BioModels Database and identified by: BIOMD0000000505 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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The role of chemerin in clear cell renal cell carcinoma

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