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1,870 results for “Adipose tissue”
snRNA-seq of Beiging Inguinal Adipose Tissue from UCP1-KO and WT mice under cold-stress and mice treated with Beta-Blocker and mild cold exposure.
GEO Series GSE174497. Mus musculus. 4 samples. Type: Non-coding RNA profiling by high throughput sequencing.
The effects of fenofibrate and fish oil on gene expression in peripheral blood mononuclear cells, muscle, and adipose tissue from overweight and obese individuals [PBMC]
GEO Series GSE27385. Homo sapiens. 33 samples. Type: Expression profiling by array.
GDF3 promotes adipose tissue macrophage-mediated inflammation via altered chromatin accessibility during aging
GEO Series GSE282287. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Data set from the article Vianello E, Marrocco-Trischitta Massimiliano M, Dozio E, Bandera F, Tacchini L, Canciani E, Dellavia C, Schmitz G, Lorenzo M, Corsi Romanelli Massimiliano M. Correlational study on altered epicardial adipose tissue as a stratification risk factor for valve disease progression through IL-13 signaling. J Mol Cell Cardiol. 2019 Jul;132:210-218. doi: 10.1016/j.yjmcc.2019.05.012. Epub 2019 May 15. Erratum in: J Mol Cell Cardiol. 2019 Aug;133:112. PMID: 31102584.
<p>Data set from the article Vianello E, Marrocco-Trischitta Massimiliano M, Dozio E, Bandera F, Tacchini L, Canciani E, Dellavia C, Schmitz G, Lorenzo M, Corsi Romanelli Massimiliano M. Correlational study on altered epicardial adipose tissue as a stratification risk factor for valve disease progression through IL-13 signaling. J Mol Cell Cardiol. 2019 Jul;132:210-218. doi: 10.1016/j.yjmcc.2019.05.012. Epub 2019 May 15. Erratum in: J Mol Cell Cardiol. 2019 Aug;133:112. PMID: 31102584.</p> <p>This is the abstract:</p> <p><strong>Aims: </strong>Genetic and environmental factors all interact in the risk of progression of valvular dysfunctions. Previous studies reported a relation between valve diseases and epicardial adipose tissue (EAT) thickness. The aim of this study was to verify the possible relationship between the molecular pattern of EAT related to IL-13 fibrogenic cytokine expression and valve dysfunction.</p> <p><strong>Methods and results: </strong>A valvular heart disease (VHD) population was stratified according to their median EAT thickness (7 mm). The molecular expression of IL-13 in EAT is directly related to the molecular expression of genes associated with extracellular matrix (ECM) turnover, macrophage infiltration and promotion of the formation of ectopic calcific nodules involved in aorta coarctation and calcification.</p> <p><strong>Conclusion: </strong>IL-13 gene expression in altered EAT is directly related to the expression of genes involved in ECM turnover and the formation of ectopic calcific nodules, suggesting measurements of EAT as a stratification risk factor for valve instability in the VHD patients.</p> <p> </p>
Novel brown adipose tissue candidate genes predicted by the human gene connectome - Supplementary Appendix
<p>Supplementary appendix with information about genes included in the BAT connectome. </p>
Potential role of epicardial adipose tissue as a biomarker of anthracycline cardiotoxicity.
<p>Monti CB, Schiaffino S, Galimberti Ortiz MDM, Capra D, Zanardo M, De Benedictis E, Luporini AG, Spagnolo P, Secchi F, Sardanelli F. Potential role of epicardial adipose tissue as a biomarker of anthracycline cardiotoxicity. Insights Imaging. 2021 Nov 6;12(1):161. doi: 10.1186/s13244-021-01069-4. PMID: 34741673; PMCID: PMC8571675.</p> <p><strong>Background: </strong>We investigated the radiodensity of epicardial (EAT), subcutaneous (SAT), and visceral adipose tissue (VAT) before and after treatment with anthracyclines in a population of breast cancer (BC) patients, and in controls not treated with anthracyclines, to detect a potential role of EAT density as a biomarker of changes related to chemotherapy cardiotoxicity.</p> <p><strong>Methods: </strong>We reviewed BC patients treated with anthracyclines who underwent CT before (CT-t<sub>0</sub>) and after (CT-t<sub>1</sub>) chemotherapy, and age- and sex-matched controls who underwent two CT examinations at comparable intervals. On non-contrast scans, EAT was segmented contouring the pericardium and thresholding between -190 and -30 Hounsfield units (HU), and SAT and VAT were segmented with two 15-mm diameter regions of interest thresholded between -195 and -45 HU.</p> <p><strong>Results: </strong>Thirty-two female patients and 32 controls were included. There were no differences in age (p = 0.439) and follow-up duration (p = 0.162) between patients and controls. Between CT-t<sub>0</sub> and CT-t<sub>1</sub>, EAT density decreased in BC patients (-66 HU, interquartile range [IQR] -71 to -63 HU, to -71 HU, IQR -75 to -66 HU, p = 0.003), while it did not vary in controls (p = 0.955). SAT density increased from CT-t<sub>0</sub> to CT-t<sub>1</sub> in BC patients (-107 HU, IQR -111 to -105 HU, to -105 HU, IQR -110 to -100 HU, p = 0.014), whereas it did not change in controls (p = 0.477). VAT density did not vary in either BC patients (p = 0.911) or controls (p = 0.627).</p> <p><strong>Conclusions: </strong>EAT density appears to be influenced by anthracycline treatment for BC, well known for its cardiotoxicity, shifting towards lower values indicative of a less active metabolism.</p>
Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients.
<p>Dataset from the article Pediconi F, Rizzo V, Schiaffino S, Cozzi A, Della Pepa G, Galati F, Catalano C, Sardanelli F. Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients. Obes Res Clin Pract. 2021 Jan-Feb;15(1):89-92. doi: 10.1016/j.orcp.2020.12.002. Epub 2020 Dec 11. PMID: 33358147; PMCID: PMC7836243.</p> <p>Abstract</p> <p>We retrospectively investigated, in 62 consecutive hospitalised COVID-19 patients (aged 70 ± 14 years, 40 males), the prognostic value of CT-derived subcutaneous adipose tissue and visceral adipose tissue (VAT) metrics, testing them in four predictive models for admission to intensive care unit (ICU), with and without pre-existing comorbidities. Multivariate logistic regression identified VAT score as the best ICU admission predictor (odds ratios 4.307-12.842). A non-relevant contribution of comorbidities at receiver operating characteristic analysis (area under the curve 0.821 for the CT-based model, 0.834 for the one including comorbidities) highlights the potential one-stop-shop prognostic role of CT-derived lung and adipose tissue metrics.</p>
The density of crown-like structures in epicardial adipose tissue could play a role in cardiovascular diseases
<p>Malavazos AE, Di Vincenzo A, Iacobellis G, Basilico S, Dubini C, Morricone L, Menicanti L, Luca T, Giordano A, Castorina S, Carruba M, Nisoli E, Del Prato S, Cinti S. The density of crown-like structures in epicardial adipose tissue could play a role in cardiovascular diseases. Eat Weight Disord. 2022 Oct;27(7):2905-2910. doi: 10.1007/s40519-022-01420-8. Epub 2022 Jun 9. PMID: 35678980.</p> <p><strong>Abstract</strong></p> <p><strong>Purpose: </strong>The visceral fat of patients affected by abdominal obesity is inflamed, and the main histopathologic feature is the high density of crown-like structures (CLS). Epicardial adipose tissue (EAT) is a visceral fat of paramount importance for its relationships with coronary vessels and myocardium. Its inflammation in patients with abdominal obesity could be of clinical relevance, but histopathological studies on CLS density in EAT are lacking. This study aimed to assess the histopathology of EAT biopsies obtained from patients undergoing open-heart surgery.</p> <p><strong>Methods: </strong>We collected EAT biopsies from 10 patients undergoing open-heart surgery for elective coronary artery bypass grafting (CABG) (n = 5) or valvular replacement (VR) (n = 5). Biopsies were treated for light microscopy and immunohistochemistry. We quantify the CLS density in each EAT sample.</p> <p><strong>Results: </strong>Despite all patients having abdominal obesity, in EAT samples, no CLS were detected in the VR group; in contrast, CLS were detected in the CABG group (about 17 CLS/10<sup>4</sup> adipocytes vs. 0.0 CLS/10<sup>4</sup> adipocytes, CABG vs. VR group, respectively). An impressive density of CLS (100 times that of other patients) was found in one patient (LS) in the CABG group that had a relevant anamnestic aspect: relatively rapid increase of weight gain, especially in abdominal adipose tissue, coincident with myocardial infarction.</p> <p><strong>Conclusions: </strong>CLS density could be an important predictive tool for cardiovascular diseases. Furthermore, the LS case implies a role for timing in weight gain.</p> <p><strong>Level of evidence: </strong>No level of evidence; this is a basic science study.</p>
The excess adipose tissue influence on children asthma development
<p>Childhood obesity is a urgent problem of modern health care, as it is associated with high risk of chronic non-communicable diseases, one of which is asthma. <br> The study consisted of two stages: epidemiological and clinical diagnostic. <br> The epidemiological stage was planned in the format of a one-time study of a randomized sample of schoolchildren aged 7–11 by comprehensive examination including: collection of a medical history, physical examination, questioning using a specially developed questionnaire, measurement of anthropometric indicators with calculation of SDS BMI, bioimpedance measurement with determination main indicators of body composition.<br> The clinical diagnostic stage was planned in a case-control format, in which cytokine levels (IL-4, IL-10, IL-2, IL-1β, IL-6, TNFa, IL-17A, IL- 8) in blood serum, general and specific IgE, eosinophils in the blood were studied.</p>
Effect of exosomes dervied from different adipose tissue on gene expression in 3T3L1 cells under high-low fat diet conditions
GEO Series GSE264480. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
Expression data from FACS sorted cell populations of immortalized stromovascular fraction mouse cells derived from inguinal white adipose tissue, showing either high or low binding to FcsFNDC4
GEO Series GSE165329. Mus musculus. 6 samples. Type: Expression profiling by array.
Adipose Tissue Expression Profiles of Mice that Vary in Adiposity and Insulin Sensitivity
GEO Series GSE8831. Mus musculus. 35 samples. Type: Expression profiling by array.
The transcriptomic landscape in the hypothalamus, brown adipose tissue and liver of chow- and AIN93G-fed mice before and after influenza virus infection
GEO Series GSE215976. Mus musculus. 47 samples. Type: Expression profiling by high throughput sequencing.
Inflammation and macrophage activation in adipose tissue of HIV-infected patients under antiretroviral treatment.
GEO Series GSE19811. Homo sapiens. 13 samples. Type: Expression profiling by array.
TP53INP2 knockout in perigonadal white adipose tissue
GEO Series GSE103585. Mus musculus. 8 samples. Type: Expression profiling by array.
Comparative profiling of mRNA expression in human mesenchymal stem cells derived from adult adipose and lipoma tissues
GEO Series GSE12843. Homo sapiens. 4 samples. Type: Expression profiling by array.
Expression data from subcutaneous adipose tissue of barrows and boars
GEO Series GSE45710. Sus scrofa. 6 samples. Type: Expression profiling by array.
ChIP-Seq interscapular brown adipose tissue Prdm16
GEO Series GSE103434. Mus musculus. 1 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Effect of PRMT5 knockout on gene expression in epididymal white adipose tissues
GEO Series GSE230565. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
The effect of high or low fat diet on the miRNA composition of exosomes derived from adipose tissue
GEO Series GSE264481. Mus musculus. 4 samples. Type: Non-coding RNA profiling by high throughput sequencing.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.