CT colonography, Visceral Fat Analysis, Adiponectin and Colorectal tumor risk
Ontology highlight
ABSTRACT:
DISEASE(S): Colorectal Tumor
PROVIDER: 2627491 | ecrin-mdr-crc |
REPOSITORIES: ECRIN MDR
Similar Datasets
Project description:OBJECTIVE:To determine the association between pericolonic fat and colorectal polyps using CT colonography (CTC). METHODS:A total of 1169 patients who underwent CTC and optical colonoscopy on the same day were assessed. Pericolonic fat was measured on CTC in a band surrounding the colon. Visceral adipose tissue volume was measured at the L2-L3 levels. Student's t-tests, odds ratio, logistic regression, binomial statistics, and weighted kappa were performed to ascertain associations with the incidence of colorectal polyps. RESULTS:Pericolonic fat volume fractions (PFVF) were 61.5 ± 11.0% versus 58.1 ± 11.5%, 61.6 ± 11.1% versus 58.7 ± 11.5%, and 62.4 ± 10.6% versus 58.8 ± 11.5% for patients with and without any polyps, adenomatous polyps, and hyperplastic polyps, respectively (P<0.0001). Similar trends were observed when examining visceral fat volume fractions (VFVF). When patients were ordered by quintiles of PFVF or VFVF, there were 2.49-, 2.19-, and 2.39-fold increases in odds ratio for the presence of any polyp, adenomatous polyps, or hyperplastic polyps from the first to the fifth quintile for PFVF and 1.92-, 2.00-, and 1.71-fold increases in odds ratio for VFVF. Polyps tended to occur more commonly in parts of the colon that had more PFVF than the spatially adjusted average for patients in the highest quintile of VFVF. CONCLUSIONS:Pericolonic fat accumulations, like visceral fat, are correlated with an increased risk of adenomatous and hyperplastic polyps.
| S-EPMC4310815 | biostudies-literature
Project description:Case story. A patient with massive infiltration of the visceral adipose tissue depot by BAT in a patient with a catecholamine secreting paraganglioma. BAT tissue was identified by protein expression of UCP1 (western blotting and immunostaining) The goal of the study is to identify patterns of gene expression in BAT containing visceral fat compared to the patient's own subcutanous fat which did not express BAT. For comparison a pool of mRNA isolated from visceral fat from obese subjects was used. Patient Case, Gene expression array from a biopsy from the patient's visceral fat and a biopsy from the subcutaneous fat compared to one array of mRNA from the visceral depot pooled from a group of obese subjects
2014-08-12 | E-GEOD-49795 | biostudies-arrayexpress
Project description:Case story. A patient with massive infiltration of the visceral adipose tissue depot by BAT in a patient with a catecholamine secreting paraganglioma. BAT tissue was identified by protein expression of UCP1 (western blotting and immunostaining) The goal of the study is to identify patterns of gene expression in BAT containing visceral fat compared to the patient's own subcutanous fat which did not express BAT. For comparison a pool of mRNA isolated from visceral fat from obese subjects was used.
2014-08-12 | GSE49795 | GEO
Project description:Accumulation of visceral (VIS) as opposed to subcutaneous (SUB) fat is a predictor of metabolic disorders, insulin resistance, and cardiovascular disease. This is due in part to the limited capacity of VIS fat to buffer lipids allowing them to deposit in insulin-sensitive tissues, thus impairing insulin action. In addition, VIS adipose tissue is more prone to fibrosis and inflammation, which in turn contributes to the pathogenesis of metabolic disease. Mechanisms underlying selective hypertrophic growth and tissue remodeling properties of VIS fat are not well understood. We and others identified subsets of adipose progenitors (APs) unique to VIS fat with differential adipogenic capacity. We named these CD34+ APs VIS low and VIS high based on low or high CD34 expression respectively. Despite sharing the same developmental origin, VIS low APs are adipogenic whereas VIS high APs are not. Furthermore, VIS high APs inhibit adipogenic differentiation of SUB and VIS low APs in vitro through the secretion of soluble inhibitory factor(s) including insulin-like growth factor binding protein 2 (Igfbp2). The number of VIS high APs increased with VIS adipose tissue expansion and their abundance in vivo causes hypertrophic growth, fibrosis, inflammation and impaired glucose and insulin tolerance. This study unveil the presence of APs unique to VIS fat involved in the paracrine regulation of adipogenesis and tissue remodeling.
2024-05-21 | PXD014672 | Pride
Project description:Rationale: Obstructive sleep apnea (OSA) has been associated with metabolic dysregulation and systemic inflammation. This may be due to pathophysiologic effects of OSA on visceral adipose tissue. We sought to assess the transcriptional consequences of OSA on adipocytes by utilizing pathway-focused analyses. Methods: Patients scheduled to undergo ventral hernia repair surgery were recruited to wear a portable home sleep monitor for two nights prior to surgery. Visceral fat biopsies were obtained intra-operatively. RNA was extracted and whole-genome expression profiling was performed. Gene Set Enrichment Analysis (GSEA) was used to identify curated gene sets that were differentially enriched in OSA subjects. Network analysis was applied to a select set of highly enriched pathways. Results: 10 patients with OSA and 8 control subjects were recruited. There were no differences in age, gender, body mass index between the two groups, but the OSA subjects had a significantly higher respiratory disturbance index (19.2 vs. 0.6, P-value 0.05) and worse hypoxemia (minimum oxygen saturation 79.7% vs. 87.8%, P-value < 0.001). GSEA identified a number of gene sets up-regulated in adipose tissue of OSA patients including the pro-inflammatory NF-M-NM-:B pathway and the proteolytic ubiquitin/proteasome module. A critical metabolic pathway, the peroxisome proliferator-activated receptor (PPAR), was down-regulated in subjects with OSA. Network analysis linked members of these modules together and identified regulatory hubs. Conclusions: OSA is associated with alterations in visceral fat gene expression. Pathway-based network analysis highlighted perturbations in several key pathways whose coordinated interactions may contribute to the metabolic dysregulation observed in this complex disorder. Total RNA from visceral fat of 18 subjects (10 OSA, 8 Control) was hybridized to 18 Affymetrix Genechip Human Gene 1.0 ST microarrays.
2012-09-01 | E-GEOD-38792 | biostudies-arrayexpress
Project description:We investigated PPARgamma deacetylation in regulating visceral fat Treg cell transcriptomes
2018-05-14 | GSE111833 | GEO
Project description:MicroRNAs are a class of molecular regulators found to participate in numerous biological processes, including adipogenesis. However, whether dietary changes impact on microRNA (miRNA) in ruminants has not been reported. Therefore, this study aimed to evaluate the dietary effect on miRNA expression in subcutaneous (backfat) and visceral fat depots (perirenal fat) from beef steers fed with different diets containing high or low fat levels. Fat tissues were collected from 16 Hereford x Aberdeen Angus cross bred steers (15.5 month old) fed high fat diet (5.85% fat, n=8) or control diet (1.95% fat, n=8). Total RNA from each animal was subjected to miRNA microarray analysis using a customized Agilent miRNA microarray containing 672 bovine miRNA probes. Expression of miRNAs was not equally detected under two diets; 169 miRNAs were commonly expressed while 75 were diet specific. The number of miRNAs detected per animal under high fat diet was higher than those fed control diet (p= 0.037 in subcutaneous fat and p= 0.002 in visceral fat).. Further qRT-PCR analysis confirmed that the expression of some miRNAs was highly influenced by diet (miR-19a, -92a, -92b, -101, -103, -106, -142-5p, and 296) or fat depot (miR-196a and -2454). Our results revealed that the miRNA expression can be influenced by types of fat tissues or diet, suggesting that miRNAs may regulate bovine adipogenesis when diet alters. In this study, a total of 32 adipose tissue samples were analyzed by microRNA microarrays, being 16 subcutaneus (backfat) and 16 visceral (perirenal fat) fat depots were collected from 16 animals (Control diet = 8) (High fat diet = 8).
2012-06-30 | E-GEOD-35012 | biostudies-arrayexpress
Project description:We profiled gene expression in peripheral blood cells from 28 obese patients by microarray analysis and visceral fat accumulation caused the gene expression proliles especially in circadian rhythm, inflammation, oxidative stress, and immune response. Obesity was defined as body mass index (BMI) greater than 25 kg/m2 according to the Japanese criteria and visceral fat area (VFA) was estimated by abdominal bioelectrical impedance analysis. Subjects with type 1 diabetes mellitus, autoimmune diseases, malignant diseases, and infectious diseases were excluded. Patients treated with statin and/or thiazolidinediones were also excluded.
2014-01-01 | E-GEOD-28038 | biostudies-arrayexpress
Project description:We profiled gene expression in peripheral blood cells from 17 obese patients by microarray analysis and revealed that visceral fat adiposity impact on gene expression profile in peripheral blood cells compared to subcutaneous fat accumulation.
2017-02-08 | GSE85226 | GEO
Project description:Nonalcoholic fatty liver disease (NAFLD) has become the most common cause of liver disease affecting 20-30% of the population in developed countries. NAFLD is strongly associated with abdominal obesity and is recognized as the hepatic manifestation of the metabolic syndrome. In a subgroup of patients with NAFLD inflammation and fibrosis develops, this so-called Non-Alcoholic Steatohepatitis (NASH) may progress to cirrhosis and hepatocellular carcinoma. A multi-hit hypothesis has been proposed in which during the first “hit” fat accumulation occurs in hepatocytes from excessive delivery of fatty acids from adipose tissue, in addition there is an imbalance in lipid synthesis and export. However, the reason why fat accumulation is subsequently followed by inflammation and fibrosis in some patients is poorly understood. We studied the role of inflammatory processes in visceral and subcutaneous fat at the transcriptional level using microarray in bariatric patients from whom the liver histology was available. Patients scheduled for bariatric surgery were recruited in two centers (Pretoria/South-Africa and Antwerpen/Belgium). At the time of the procedure, tissue samples of the visceral and subcutaneous fat were taken for molecular analysis as well as liver tissue for histology, also full biochemical data was collected. Patients were grouped according histology: group I (<5% steatosis), group II (NAFLD, 30-50% steatosis), group III (NASH) and group IV (NASH + fibrosis F2-F3). The following samples were used for microarray (number of 'patients' respectively for stages I-II-III-IV): visceral fat (9-7-7-5), subcutaneous fat (6-6-6-5). Microarrays were run in two batches (15xxx versus 17xxx CEL file samples; indicated in the description field). Samples from two patients (FN61; FN76) were put twice on array (15078+17881; 15064+17877) to verify and exclude batch effects. Please note that, due to technical repeats with two patient samples, the number of 'visceral fat samples' for stages I-II-III-IV is 10-7-8-5.
2015-08-04 | E-GEOD-58979 | biostudies-arrayexpress