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1,456 results for “weight loss”
Reprocessing of the dataset "Plasma Proteome Profiling Reveals the Effects of Weight Loss on the Apolipoprotein Family and Systemic Inflammation Status"
<p>Reprocessing of the MassIVE repository MSV000080596, originally generated to investigate the dynamic changes in the plasma proteomes of a cohort of individuals with obesity following weight loss and maintenance. The reprocessing included all samples from 52 individuals taken right after the weight-loss process and during the weight maintenance phase of the study (Weeks 0, 4, 13, 26, 39, and 52).</p> <p>We used the sequence database generated by ProHap (<a href="https://github.com/ProGenNo/ProHap">https://github.com/ProGenNo/ProHap</a>) representing all populations from the 1000 Genomes Project (doi.org/10.5281/zenodo.10149277). For the search, SearchGUI version 4.3.1 and PeptideShaker version 3.0.0 were used with the X!Tandem and Tide search engines. The modification settings specified were carbamidomethylation of C as fixed and oxidation of M, deamidation of N and Q, Pyrrolidone of E and Q, and acetylation of protein N-terminus as variable modifications. The maximum peptide length was set to 40 amino acids and the precursor and fragment ion tolerances were set to 7 and 20 ppm, respectively. Resulting PSMs were processed as described in (doi.org/10.1021/acs.jproteome.3c00243) using Percolator version 3.5 provided with features based on peptide retention time (DeepLC version 1.1.2) and fragmentation predictors (MS2PIP version 3.9.0), and filtered at a 1% estimated FDR.</p> <p>The attached file contains all the peptide-spectrum matches identified at 1% FDR. The peptides have been annotated with transcripts, genes, and alleles using the ProHap Peptide Annotator v1.1 (<a href="https://github.com/ProGenNo/ProHap_PeptideAnnotator">https://github.com/ProGenNo/ProHap_PeptideAnnotator</a>).</p>
Data and analysis supplement for: Functional imagery training versus motivational interviewing for weight loss: a randomised controlled trial of brief individual interventions for overweight and obesity.
<p>This submission provides the data and code for analyses reported in our publication.</p>
dataset for "basic setting", "+ binary semantic loss", "+ class weights", "+ height weights", "+ region weights", "+ elastic distortion and subsampling", "+ TreeMix" in paper Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning
<p>dataset for "basic setting", "+ binary semantic loss", "+ class weights", "+ height weights", "+ region weights", "+ elastic distortion and subsampling", "+ TreeMix" in paper Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning</p>
Dataset: Roundhill Glp-1 & Weight Loss ETF (OZEM) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
FIGURE 2 in Radiotagging a long-distance migratory characid fish: reproduction after surgery, tag losses, and effects in weight
FIGURE 2 | Percentage weight variation of fish that remained alive in the pond until the end of the experiment. Tagging occurred in 16–18/11/2016, survey 1 in 24/08/2016, survey 2 in 28/09/2016, survey 3 in 21/10/2016, survey 4 in 09/11/2016, and survey 5 in 03/05/2017. Reproduction occurred between survey 4 and survey 5.
FIGURE 1 in Radiotagging a long-distance migratory characid fish: reproduction after surgery, tag losses, and effects in weight
FIGURE 1 | Mortality by event, treatment, and sex. Tagging occurred in 16–18/11/2016, survey 1 in 24/08/2016, survey 2 in 28/09/2016, survey 3 in 21/10/2016, survey 4 in 09/11/2016, and survey 5 in 03/05/2017. Reproduction occurred between survey 4 and survey 5. We excluded fishes with unidentified sex from the figure.
Weight-loss & metabolite data of cachetic cancer patients over multiple time points
<p>This dataset contains weight-loss data and metabolite measurements from cachetic cancer patients. This data set is part of the publication "Biomarkers related to fatty acid oxidative capacity are predictive for continued weight loss in cachectic cancer patients" by Catanese et al., 2021 (<a href="https://doi.org/10.1002/jcsm.12817">LINK</a>). Data were collected over a extended time period starting from the day of hospital admission. Up to seven time points are available for individual patients. A metabolite profile consisting of amino acids and acylcarnitines measured via tandem MS/MS from both blood plasma and dried blood spots is available for each patient at each time point. Additional available phenotypes are the age, sex and historic weight of each patient. </p> <p>Abbreviations:</p> <ul> <li>HW - Historical weight</li> <li>TP - Time point</li> <li>WL - Weight loss</li> <li>DBS - Dried blood spot</li> <li>Metabolite abbreviations are explained in Supplementary Table S5 of the corresponding publication</li> </ul>
Log2Lose: Incenting Weight Loss and Dietary Self-monitoring in Real-time to Improve Weight Management Among Adults With Obesity
ClinicalTrials.gov study NCT04770909. IPD Sharing: YES. Countries: 1. Publications: 2.
Just-in-time Adaptive Intervention Messaging in a Digital Weight Loss Intervention for Young Adults
ClinicalTrials.gov study NCT05625061. IPD Sharing: YES. Countries: 1. Publications: 0.
Phone Coaching and Internet-delivered Weight Loss
ClinicalTrials.gov study NCT03867981. IPD Sharing: YES. Countries: 1. Publications: 1.
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.
Seasonal weight loss effect in the hepatic fatty acid composition in Australian Merino, Damara and Dorper sheep
<p>Seasonal weight loss (SWL) is one of the major limitations in small ruminant production in drought-prone regions. The study of breeds with higher tolerance to the effects of SWL is particularly important to define breed selection strategies. In this work we evaluated the effect of SWL in the hepatic fatty acids profile in three ovine breeds with different levels of tolerance: the Merino (susceptible to SWL), the Dorper (intermediate tolerant to SWL), and Damara (tolerant to SWL). </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>
FIGURE 3 in Radiotagging a long-distance migratory characid fish: reproduction after surgery, tag losses, and effects in weight
FIGURE 3 | Fecundity (oocytes by gram of body weight) compared among treatments.
Data set for "EghiFit: Smartphone based Behaviour Monitoring and Health Recommendation in a Weight Loss Intervention Study"
<p>Dataset has been created for "EghiFit: Smartphone based Behaviour Monitoring and Health Recommendation in a Weight Loss Intervention Study" paper.</p> <p>We have created a smartphone based behaviour monitoring and recommendation system to aid patients recruited in a weight loss intervention programme.<br>The main interaction element for the patients is <strong>EghiFit</strong> application which was used in context of this dataset for data acquisition and secure transmission to our servers.</p> <p>The data consists of application usage per patient, steps achieved, nutritional information of meals logged, heart rate data, interaction data and more.<br>For more information about the dataset, please take a look at <strong>readme.md</strong> file and our paper.</p>
Impact of a Smartphone Application on Postpartum Weight Loss and Breastfeeding Rates Among Low-income, Urban Women
ClinicalTrials.gov study NCT03167073. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Investigating the Physiological Effects of Weight Loss on Male Fertility
ClinicalTrials.gov study NCT03553927. IPD Sharing: NO. Countries: 1. Publications: 1.
Effect on Weight Loss of Exenatide Versus Placebo
ClinicalTrials.gov study NCT00375492. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Behavior Intervention for Weight Loss for Type 2 Diabetes Mellitus Adults With Obesity Problem (BMI of ≥23kg/m2)
ClinicalTrials.gov study NCT05736536. IPD Sharing: NO. Countries: 1. Publications: 1.
MEtformin and Lorcaserin for WeighT Loss in Schizophrenia
ClinicalTrials.gov study NCT02796144. IPD Sharing: NO. Countries: 1. Publications: 3.
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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.