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4,359 results for “Insulin”
Effects of Pioglitazone on Insulin and Glucose Metabolism in Women With Polycystic Ovary Syndrome (PCOS)
ClinicalTrials.gov study NCT00868140. IPD Sharing: NO. Countries: 2. Publications: 1.
My Dose Coach Mobile App to Support Insulin Titration and Maintenance
ClinicalTrials.gov study NCT04678661. IPD Sharing: YES. Countries: 1. Publications: 3.
Hybrid Closed Loop Insulin Delivery System in Hypoglycemia
ClinicalTrials.gov study NCT03215914. IPD Sharing: YES. Countries: 1. Publications: 2.
Three Approaches to Glucose Monitoring in Non-insulin Treated Diabetes
ClinicalTrials.gov study NCT02033499. IPD Sharing: YES. Countries: 1. Publications: 10.
Comparison of a New Formulation of Insulin Glargine With Lantus in Patients With Type 2 Diabetes on Basal Insulin With Oral Antidiabetic Therapy
ClinicalTrials.gov study NCT01499095. IPD Sharing: YES. Countries: 13. Publications: 6.
Comparison of SAR341402 to NovoLog/NovoRapid in Adult Patients With Diabetes Mellitus Also Using Insulin Glargine
ClinicalTrials.gov study NCT03211858. IPD Sharing: YES. Countries: 7. Publications: 3.
Gestational Cd exposure in the CD-1 mouse induces sex-specific hepatic insulin insensitivity, obesity and metabolic syndrome in adult female offspring
Open the record for dataset details and reuse information.
Photoperiod controls wing polyphenism in a water strider independently of insulin receptor signaling
Open the record for dataset details and reuse information.
Weight loss, insulin resistance, and study design confound results in a meta-analysis of animal models of fatty liver
The classical drug development pipeline necessitates studies using animal models of human disease to gauge future efficacy in humans, however there is a low conversion rate from success in animals to humans. Non-alcoholic fatty liver disease (NAFLD) is a complex chronic disease without any established therapies and a major field of animal research. We performed a meta-analysis with meta-regression of 603 interventional rodent studies (10,364 animals) in NAFLD to assess which variables influenced treatment response. Weight loss and alleviation of insulin resistance were consistently associated with improvement in NAFLD. Multiple drug classes that do not affect weight in humans caused weight loss in animals. Other study design variables, such as age of animals and dietary composition, influenced the magnitude of treatment effect. Publication bias may have increased effect estimates by 37-79%. These findings help to explain the challenge of reproducibility and translation within the field of metabolism.
Data from: Complex evolution of insect insulin receptors and homologous decoy receptors, and functional significance of their multiplicity
<p></p><p>Evidence accumulates that the functional plasticity of insulin and insulin-like growth factor signaling in insects could spring, among others, from the multiplicity of insulin receptors (InRs). Their multiple variants may be implemented in the control of insect polyphenism, such as wing or caste polyphenism. Here, we present a comprehensive phylogenetic analysis of insect InR sequences in 118 species from 23 orders and investigate the role of three InRs identified in the linden bug, Pyrrhocoris apterus, in wing polymorphism control. We identified two gene clusters (Clusters I and II) resulting from an ancestral duplication in a late ancestor of winged insects, which remained conserved in most lineages, only in some of them being subject to further duplications or losses. One remarkable yet neglected feature of InR evolution is the loss of the tyrosine kinase catalytic domain, giving rise to decoys of InR in both clusters. Within the Cluster I, we confirmed the presence of the secreted decoy of insulin receptor in all studied Muscomorpha. More importantly, we described a new tyrosine kinase-less gene (DR2) in the Cluster II, conserved in apical Holometabola for ∼300 My. We differentially silenced the three P. apterus InRs and confirmed their participation in wing polymorphism control. We observed a pattern of Cluster I and Cluster II InRs impact on wing development, which differed from that postulated in planthoppers, suggesting an independent establishment of insulin/insulin-like growth factor signaling control over wing development, leading to idiosyncrasies in the co-option of multiple InRs in polyphenism control in different taxa.</p><p></p>
Data from: A clinal polymorphism in the insulin signaling transcription factor foxo contributes to life-history adaptation in Drosophila
A fundamental aim of adaptation genomics is to identify polymorphisms that underpin variation in fitness traits. In D. melanogaster latitudinal life-history clines exist on multiple continents and make an excellent system for dissecting the genetics of adaptation. We have previously identified numerous clinal SNPs in insulin/insulin-like growth factor signaling (IIS), a pathway known from mutant studies to affect life history. However, the effects of natural variants in this pathway remain poorly understood. Here we investigate how two clinal alternative alleles at foxo, a transcriptional effector of IIS, affect fitness components (viability, size, starvation resistance, fat content). We assessed this polymorphism from the North American cline by reconstituting outbred populations, fixed for either the low- or high-latitude allele, from inbred DGRP lines. Since diet and temperature modulate IIS, we phenotyped alleles across two temperatures (18°C, 25°C) and two diets differing in sugar source and content. Consistent with clinal expectations, the high-latitude allele conferred larger body size and reduced wing loading. Alleles also differed in starvation resistance and expression of InR, a transcriptional target of FOXO. Allelic reaction norms were mostly parallel, with few GxE interactions. Together, our results suggest that variation in IIS makes a major contribution to clinal life-history adaptation.
Reduced gray matter volume in the default-mode network associated with insulin resistance
<p>Insulin resistance may lead to structural and functional abnormalities of the human brain. However, the mechanism by which insulin resistance impairs the brain remains elusive. In this study, we used two large neuroimaging databases to investigate the brain regions where insulin resistance was associated with the gray matter volume and to examine the resting-state functional connectivity between these brain regions and each hypothalamic nucleus. Insulin resistance was associated with reduced gray matter volume in the regions of the default-mode and limbic networks in the cerebral cortex in older adults. Resting-state functional connectivity was prominent between these networks and the paraventricular nucleus of the hypothalamus, a hypothalamic interface connecting functionally with the cerebral cortex. Furthermore, we found a significant correlation in these networks between insulin resistance-related gray matter volume reduction and network paraventricular nucleus of the hypothalamus resting-state functional connectivity. These results suggest that insulin resistance-related gray matter volume reduction in the default-mode and limbic networks emerged through metabolic homeostasis mechanisms in the hypothalamus.</p>
Hyperinsulinemic insulin receptors fail to internalize post-stimulation.
<p>Fig. S1. (A) Representative immunoblots and (B) densitometry analysis of internalized insulin receptors (InsR-β) following 0, 5, 15, and 30 minutes of stimulation in mouse brain microvascular endothelial cells that are untreated (Non-HI) or incubated in experimental hyperinsulinemic conditions for 12 hours (HI). Data was analyzed via two-way ANOVA with Tukey’s multiple comparisons, n= 6-8/ group, N=4; ✱p< 0.05. All images were normalized to total gel protein concentrations shown as “Stain Free Gel”, calculated in Image Lab software per the manufacturer’s instructions. Line down center of immunoblot indicates a break in the blot; images are from the same immunoblot for each figure and received identical formatting. Data from 15 minutes post-stimulation is same as Figure 4 non-HI and HI.</p>
45° dataset from cubic insulin recorded at the I23 beamline of Diamond Light Source
<p>450 miniCBF X-ray diffraction images from a 45° rotation scan of a cubic insulin crystal recorded at the I23 beamline of Diamond Light Source as part of commissioning tests.</p> <p>This dataset is provided as a small, but complete, diffraction dataset from I23, which has the unique DECTRIS P12M detector. A simple script for processing the data using DIALS 3.10 is as follows:</p> <pre><code class="language-bash">dials.import first450/data_1_*.cbf\ fast_slow_beam_centre=1080,57,12 dials.find_spots imported.expt d_max=75 dials.index imported.expt strong.refl dials.refine indexed.{expt,refl} dials.integrate refined.{expt,refl} dials.symmetry integrated.{expt,refl} dials.scale symmetrized.{expt,refl} </code></pre> <p>The initial beam centre read from the image headers is not correct, so the corrected value is enforced on input in the above script.</p>
Insulin sensitivity in mesolimbic pathways predicts and improves with weight loss in older dieters
<p><span>Central insulin is involved in the regulation of hedonic feeding. Insulin resistance in overweight has recently been shown to reduce the inhibitory function of insulin in the human brain, but how this affects future weight management is unclear. Also unknown is the role of central insulin sensitivity on eating behavior of older people, who are highly vulnerable to hyperinsulinemia and in whom neural target systems of insulin action undergo age-related changes. Here, fifty overweight, pre-diabetic elderly participated in a double-blind, placebo-controlled pharmacological fMRI study before and after randomization to a 3-month caloric restriction or active waiting group. We show that treatment outcome in dieters can be predicted by baseline measures of individual intranasal insulin (INI) inhibition of value signals in the ventral tegmental area related to sweet food liking as well as, independently, by peripheral insulin sensitivity. At follow-up, both INI inhibition of hedonic value signals in the nucleus accumbens and whole-body insulin sensitivity improved with weight loss. These data highlight the critical role of central insulin function in mesolimbic systems for future weight management in humans and directly demonstrate that neural insulin function can be improved by weight loss even in older age, which may be essential for preventing metabolic disorders in later life.</span></p>
New protein production in primary pulmonary artery endothelial cells treated with insulin-like growth factor 1 treatment
<p>Maximum projections of flat-fielded and deconvolved epi-fluorescence imaging data for primary sheep pulmonary artery endothelial cells (PAEC) treated with vehicle or insulin-like growth factor 1 (IGF1) media.</p> <p>Two cell types: normal PAEC and persistent pulmonary hypertension of the newborn (PPHN) PAEC</p> <p>Three time points: 0 minutes, 1 hour, and 24 hours post-treatment</p> <p>Two fluorescence channels:<br> C0 - DAPI for nuclei (R37606, Life Technologies)<br> C1 - Click-IT new protein translation kit (C10428, C10429, Life Technologies)</p>
X-Ray Diffraction Data Cubic Insulin and Thaumatin SSX for RIP phasing
<p>Diffraction images collected on dectris Pilatus. Format of images in *.cbf.</p> <p>Images collected with Mesh and Collect strategy at ESRF.</p> <p>Thaumatin : contain 6 sets of exposure reflecting 6 increasing Dose (from 1 to 6)</p> <p>Cubic Insulin : contain 3 sets of sub-data sets : Before_1 and Before_2 (means before UV irradiation). and After : (after UV irradiation).</p> <p>For full information refer to material and method in : (<em>submit, will be update</em>)</p>
Fatty Acids Reverse the Supramolecular Chirality of Insulin Fibrils
<h4>The data from the paper Fatty Acids Reverse the Supramolecular Chirality of Insulin Fibrils</h4> <div>Aidan P. Holman, Kimberly Quinn, Rakesh Kumar, Sebastian Kmiecik, Abid Ali, and Dmitry Kurouski</div> <div>The Journal of Physical Chemistry Letters <strong>2023</strong> <em>14</em> (30), 6935-6939</div> <p>DOI: 10.1021/acs.jpclett.3c01527</p>
Cubic insulin data set collected from multiple lattices on i03 at Diamond Light Source
<p>Dataset collected as part of routine commissioning work, found to have more than one crystal present at the point where data were collected, allowing multiple lattices to be processed. </p> <p> </p> <p>While three lattices are present one is substantially weaker than the other two.</p> <p> </p> <p>Uploading to enable methods development and also to use for tutorials on how to use dials software.</p> <p> </p> <p>Processing data with the usual dials scripts (which will point to this deposition) result in statistics shown below. Tutorial to be uploaded to https://github.com/graeme-winter/dials_tutorials when available.</p> <p> </p> <p><code> -------------Summary of merging statistics-------------- </code></p> <p><code> Suggested Low High Overall</code><br><code>High resolution limit 1.51 4.10 1.51 1.48</code><br><code>Low resolution limit 54.89 54.93 1.54 54.89</code><br><code>Completeness 98.9 100.0 83.7 95.3</code><br><code>Multiplicity 54.7 78.1 4.6 53.5</code><br><code>I/sigma 18.9 89.2 0.3 18.4</code><br><code>Rmerge(I) 0.139 0.060 1.423 0.139</code><br><code>Rmerge(I+/-) 0.138 0.060 1.316 0.138</code><br><code>Rmeas(I) 0.140 0.061 1.590 0.140</code><br><code>Rmeas(I+/-) 0.140 0.060 1.609 0.140</code><br><code>Rpim(I) 0.016 0.007 0.683 0.016</code><br><code>Rpim(I+/-) 0.023 0.009 0.894 0.023</code><br><code>CC half 1.000 1.000 0.271 1.000</code><br><code>Anomalous completeness 97.8 100.0 67.8 92.3</code><br><code>Anomalous multiplicity 28.7 43.6 2.6 28.3</code><br><code>Anomalous correlation 0.038 0.276 -0.050 0.049</code><br><code>Anomalous slope 0.667 </code><br><code>dF/F 0.060 </code><br><code>dI/s(dI) 0.629 </code><br><code>Total observations 669615 52255 2342 670277</code><br><code>Total unique 12231 669 507 12529</code></p>
A large crystallographic dataset (3600 degrees) from insulin using an Eiger 2 XE 9M on I04-1 at Diamond Light Source Ltd
<p>3600 degree X-ray diffraction data set from cubic insulin taken on Diamond Beamline i04-1 with the Eiger 2 XE 9M detector at 500 Hz, for use by method developers to improve and streamline the analysis of large crystallographic datasets.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.