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ShareScore release 0.9.0
Dataset results
1,089 results for “metabolic syndrome”
miRNA expression data in plasma from women with breast cancer and healthy volunteers with or without alterations associated to metabolic syndrome
GEO Series GSE235355. synthetic construct; Homo sapiens. 19 samples. Type: Non-coding RNA profiling by array; Non-coding RNA profiling by high throughput sequencing.
Loss of Down syndrome critical region-1 causes cholesterol-metabolic dysfunction leading to corneal opacity
GEO Series GSE130040. Mus musculus. 12 samples. Type: Expression profiling by array.
Role of inherent strain differences in prenatally induced differential metabolic syndrome phenotype and gene expression
GEO Series GSE12117. Mus musculus. 32 samples. Type: Expression profiling by array.
RNAome Modulation in Lung During Metabolic Syndrome in a Rat Model
GEO Series GSE73910. Rattus norvegicus. 9 samples. Type: Expression profiling by array.
Expression data from Prostate Cancer xenograft with CtBP1 control or depleted generated in mice with metabolic syndrome
GEO Series GSE104119. Homo sapiens; synthetic construct. 4 samples. Type: Non-coding RNA profiling by array.
Metabolic syndrome exercise training
GEO Series GSE46697. Homo sapiens. 12 samples. Type: Expression profiling by array.
MicroRNAs in plasma in metabolic syndrome.
GEO Series GSE239866. synthetic construct; Homo sapiens. 18 samples. Type: Non-coding RNA profiling by array.
Indexes of adiposity and body composition in the prediction of metabolic syndrome in obese children and adolescents: Which is the best?
<p>Background and aim</p> <p>There is no agreement about which index of adiposity and/or body composition is the most accurate in identifying the metabolic syndrome (METS). The aim of our study was to compare the accuracy of the different indexes in order to recognize the most reliable.</p> <p>Methods and results</p> <p>We evaluated 1332 obese children and adolescents (778 females and 554 males), aged 14.4 ± 1.8 yrs, Body Mass Index (BMI) standard deviation scores (SDS) 2.99 ± 0.55, followed at the Istituto Auxologico Italiano, a tertiary center for childhood obesity. For each subject the following indexes were assessed: BMI, BMI SDS, Fat-Free Mass Index (FFMI), Fat Mass Index (FMI), Tri-Ponderal Mass Index (TMI), Waist-to-Height ratio (WtHR) and a new one, the Body Mass Fat Index (BMFI), which normalizes the BMI for percentage of body fat and the waist circumference. Thereafter we calculated for each index a threshold value for age and sex, in order to compare their accuracy, sensitivity and specificity in identifying the METS. There was a good correlation among indexes (p < 0.0001 for all). However, when the area under the curve (AUC) was compared, some of them, in particular the BMFI and the BMI, performed better than the other ones, although the differences were small.</p> <p>Conclusions</p> <p>BMI, which neither considers body composition nor fat distribution, performs as good as other indexes, and should therefore be the preferred one, also because of the easiness of its calculation.</p>
Circulating Irisin in Children and Adolescents With Prader-Willi Syndrome: Relation With Glucose Metabolism
<p>Dataset of the manuscript " Circulating Irisin in Children and Adolescents With Prader-Willi Syndrome: Relation With Glucose Metabolism"</p>
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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.