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1,089 results for “metabolic syndrome”
Atheroma Reduction With Chloroquine in Patients With the Metabolic Syndrome (ARCH-MS)
ClinicalTrials.gov study NCT00455403. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Vericiguat in Patients With Metabolic Syndrome and Coronary Vascular Dysfunction
ClinicalTrials.gov study NCT05711719. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Combination of Insulin Sensitizer and Leptin as Treatment for the HAART -Induced Metabolic Syndrome
ClinicalTrials.gov study NCT00362440. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effect of Fucoxanthin on the Metabolic Syndrome, Insulin Sensitivity and Insulin Secretion
ClinicalTrials.gov study NCT03613740. IPD Sharing: NO. Countries: 1. Publications: 2.
Study of Vardenafil in Patients Suffering From Erectile Dysfunction and Metabolic Syndrome
ClinicalTrials.gov study NCT00738400. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effects of Ezetimibe, Simvastatin, and Vytorin on Reducing L5 a Subfraction of LDL in Patients With Metabolic Syndrome.
ClinicalTrials.gov study NCT00988364. IPD Sharing: Not stated. Countries: 1. Publications: 19.
Botanical Oil Supplementation in Diabetic and Metabolic Syndrome Subjects
ClinicalTrials.gov study NCT01145066. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Composition & Function of Sarcoplasmic Reticulum in Persons With the Metabolic Syndrome
ClinicalTrials.gov study NCT02122666. IPD Sharing: UNDECIDED. Countries: 1. Publications: 7.
Dietary Prevention of Heart Failure in Hypertensive Metabolic Syndrome
ClinicalTrials.gov study NCT03170375. IPD Sharing: NO. Countries: 1. Publications: 0.
The Metabolic Effects of Short-term Walnut Consumption in Subjects With the Metabolic Syndrome
ClinicalTrials.gov study NCT00525629. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Metabolic Syndrome in PCOS: Precursors and Interventions
ClinicalTrials.gov study NCT00442689. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Metabolic syndrome for the prognosis of postoperative complications after open pancreatic surgery in Chinese adult: a propensity score matching study
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Pace-of-life syndrome: linking personality, metabolism and colour ornamentation in male guppies
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Senescent preosteoclast secretome promotes metabolic syndrome-associated osteoarthritis through COX2-PGE2
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Predictors of metabolic syndrome among adults in Ethiopia
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Functional capacity and risk of falls in the elderly with metabolic syndrome.
<p>This is a database for the study: <strong>Functional capacity and risk of falls in the elderly with metabolic syndrome.</strong></p> <p><strong>Method: </strong>A cross-sectional study was carried out with 126 elderly subjects, 58 presented MetS and 68 without MetS, according to the criteria of the International Diabetes Federation. Katz Index, Tinetti Index, Timed Up and Go test and Berg Scale were applied to evaluate the functional capacity. Falls Efficacy Scale-International scale (FES-I-Brazil) was used to evaluate the fear of falling. For statistical analysis, the Mann-Whitney, Chi-square and Spearman correlation tests were used.</p>
Data from: Association between metabolic syndrome components and the risk of developing nephrolithiasis: Bayesian meta-analysis and meta-regression with dose-response analysis
<p>Nephrolithiasis has shifted to be a systemic disease. As opposed to an isolated urinary metabolic problem, it became determined that nephrolithiasis turned into considerably related to link with systemic diseases such as hypertension, obesity, dyslipidemia, and insulin resistance. The interplay between these four factors defines MetS (metabolic syndrome). In this review we aim to clarify the associations of metabolic syndrome and its components to kidney stone incident. Online databases of EMBASE, MEDLINE, and Google Scholar were searched up to October 2020 to identify observational studies examining the association between metabolic syndrome components and kidney stone incident. Bayesian Random-Effects Meta-Analysis and Meta-Regression were performed to observe the association. Linear dose-response analyses were conducted to shape the direction of the association. Data analysis was performed using STATA, and R statistics. This dataset contains supplementary material and figures as additional analysis of the study.</p>
Data from: A metabolic syndrome in terrestrial ectotherms with different elevational and distribution patterns
The metabolic performance of ectotherms is expected to be driven by the environment in which they live. Ecologically similar species with contrasting elevation distributions occurring in sympatry at mid-elevations, provide good models for studying how physiological responses to temperature vary as a function of adaptation to different elevations.. Under sympatry, at middle elevations, where divergent species ranges overlap, sympatric populations are expected to have similar thermal responses, suggesting similar local acclimation or adaptation, while observed differences would suggest adaptation to each species' core range. We analysed the metabolic traits of sympatric species pairs from three ectotherm groups: reptiles (Reptilia: Lacertidae), amphibians (Amphibia: Salamandridae) and beetles (Coleoptera: Carabidae), living at different elevations, in order to test how adaptation to different elevations affects metabolic responses to temperature. We experimentally tested the thermal response of respiration rate (RR) and estimated potential metabolic activity (PMA) at three temperature regimes surrounding the groups' optimal activity body temperatures. RR was relatively similar among groups and showed a positive response to increasing temperature, which was more pronounced in the high-elevation species of reptiles and beetles. Relative to RR, PMA displayed a stronger and more consistent positive response to increased temperature in all three groups. For all three groups, the average biochemical capacity for metabolism (PMA) was higher in the range-restricted, high-elevation species, and this difference increased at higher temperatures in a consistent manner. These results, indicating consistent pattern in three independently evolved animal groups, suggest a ubiquitous adaptive syndrome and represent a novel understanding of the mechanisms shaping spatial biodiversity patterns. Our results also highlight the importance of geographic patterns for the mechanistic understanding of adaptations in physiological traits, including species' potential to respond/adapt to global climate changes.
Data from: Increased dietary intake of saturated fatty acid heptadecanoic acid (C17:0) associated with decreasing ferritin and alleviated metabolic syndrome in dolphins
Similar to humans, bottlenose dolphins (Tursiops truncatus) can develop metabolic syndrome and associated high ferritin. While fish and fish-based fatty acids may protect against metabolic syndrome in humans, findings have been inconsistent. To assess potential protective factors against metabolic syndrome related to fish diets, fatty acids were compared between two dolphin populations with higher (n = 30, Group A) and lower (n = 19, Group B) mean insulin (11 ± 12 and 2 ± 5 μIU/ml, respectively; P < 0.0001) and their dietary fish. In addition to higher insulin, triglycerides, and ferritin, Group A had lower percent serum heptadecanoic acid (C17:0) compared to Group B (0.3 ± 0.1 and 1.3 ± 0.4%, respectively; P < 0.0001). Using multivariate stepwise regression, higher percent serum C17:0, a saturated fat found in dairy fat, rye, and some fish, was an independent predictor of lower insulin in dolphins. Capelin, a common dietary fish for Group A, had no detectable C17:0, while pinfish and mullet, common in Group B's diet, had C17:0 (41 and 67 mg/100g, respectively). When a modified diet adding 25% pinfish and/or mullet was fed to six Group A dolphins over 24 weeks (increasing the average daily dietary C17:0 intake from 400 to 1700 mg), C17:0 serum levels increased, high ferritin decreased, and blood-based metabolic syndrome indices normalized toward reference levels. These effects were not found in four reference dolphins. Further, higher total serum C17:0 was an independent and linear predictor of lower ferritin in dolphins in Group B dolphins. Among off the shelf dairy products tested, butter had the highest C17:0 (423mg/100g); nonfat dairy products had no detectable C17:0. We hypothesize that humans' movement away from diets with potentially beneficial saturated fatty acid C17:0, including whole fat dairy products, could be a contributor to widespread low C17:0 levels, higher ferritin, and metabolic syndrome.
Low-quality carbohydrate intake is associated with a higher prevalence of the metabolic syndrome: The AWHS Study. (Supplemental Figure-Participant selection flow-chart)
<p>Supplemental figure: Participant selection flow-chart.</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.