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965 results for “endocrine”
Using the Tea Bag Index to unravel how interactions between an antibiotic (Trimethoprim) and endocrine disruptor (17a-estradiol) affect aquatic microbial activity: Supporting Dataset 1
<p>The constant release of complex mixture of pharmaceuticals, including antimicrobials and endocrine disruptors, into the aquatic environment. These have the potential to affect aquatic microbial metabolism and alter biogeochemical cycling of carbon and nutrients. We used the Tea Bag Index (TBI) for decomposition within a series of contaminant exposure experiments to test how interactions between an antibiotic (trimethoprim) and endocrine disruptor (17a-estradiol) affects microbial activity in an aquatic system. The TBI is a citizen science tool used to test microbial activity by measuring the differential degradation of green and rooibos tea as proxies for labile and recalcitrant organic matter decomposition. Here we present the raw data on pharmaceutical exposures and the mass loss of the Rooibos and Green tea bags within the experiment. From Tea Bag mass loss we then calculated the Stabilisation Factor (S) and Initial Decomposition Rate of the labile organic matter fraction.</p>
Inter-Chemical Correlation results for the study: HHEARx2018-2512 (The Role of Environmental Endocrine Disruptors on the Health of Inner City Children)
Title: The Role of Environmental Endocrine Disruptors on the Health of Inner City Children <br>Species: Homo sapiens <br>Number of samples: 651 <br>Number of named analytes: 26 <br>Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=62 <br>
S109 | PARCEDC | List of 7074 potential endocrine disrupting compounds (EDCs) by PARC T4.2
<p>This is the collection associated with list S109 PARCEDC List of 7074 potential endocrine disrupting compounds (EDCs) by PARC T4.2 on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <div>A comprehensive list of 7074 endocrine disruptors compiled by PARC T4.2., integrating assessments by EU and national regulators, contributions from entities like the European Chemicals Agency (ECHA)and complemented by other potential endocrine disruptors (hormones, bisphenols, etc.).The list also includes potentially active endocrine disruptors screened from all substances in the NORMAN SusDat database (https://www.norman-network.com/nds/susdat/) using VEGA (QSAR) EDC prediction models (https://www.vegahub.eu/about-qsar), ToxCast database's in vitro assay data and ToxCast based machine learning predictions.</div> <div> </div> <div>List kindly provided by Sandrine Andres and Valeria Dulio, INERIS.</div>
S99 | ANSESEDC | List of potential endocrine disrupting compounds (EDCs) from ANSES
<p>This is the collection associated with list S99 ANSESEDC List of potential endocrine disrupting compounds (EDCs) from ANSES on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>A list of 908 potential endocrine disrupting compounds (EDCs) from <a href="https://www.anses.fr/en">ANSES, the French Agency for Food, Environmental and Occupational Health & Safety</a> to be assessed for their <a href="http://(https://www.anses.fr/en/content/accelerating-assessment-endocrine-disruptors)">endocrine disrupting properties under France’s Second National Endocrine Disruptor Strategy (SNPE 2)</a>. Endocrine disruptors (EDs) are substances that interfere with the hormonal functions of humans and animals. List kindly provided by Sandrine Andres, INERIS. <br> </p>
Clonal heterogeneity of endocrine therapy resistance in breast cancer
<p>We barcoded endocrine therapy sensitive cell lines (MCF7 and T47D) and rendered them resistant to commonly applied first line endocrine therapeutics (Tamoxifen and estrogen deprivation). Next, we isolated single cell clones of endocrine therapy resistant populations and subjected clonal cell lines to RNA-Seq and Phosphoproteomics profiling.</p>
Endocrine disruption: the noise in available data adversely impact the models' performance
<p>This paper is devoted to the analysis of available experimental data and preparation of predictive models for binding affinity of molecules with respect to two nuclear receptors involved in endocrine disruption: the Estrogen (ER) and the Androgen (AR) receptor. The ED-relevant data were retrieved from multiple sources, including the CERAP, CoMPARA, and the Tox21 data challenge projects as well as ChEMBL and PubChem databases. Data analysis performed with the help of Generative Topographic Mapping technique revealed the problem of a low agreement between experimental values issued from different sources.</p> <p>Collected data were used to train both classification models for AR and ER binding activities and regression models for Relative Binding Affinity (RBA) and median Inhibition Concentration (IC50) models. These models displayed relatively poor performance in classification (sensitivities ER = 0.34, AR = 0.49) and in regression (determination coefficient R<sup>2</sup> for the RBA and IC50 models in external validation varied from 0.44 to 0.76). Our analysis demonstrates that low models performances resulted from misinterpreted experimental endpoints or wrongly reported values.</p> <p>Developed models and collected data sets included of 6215 (ER) and 3789 (AR) unique compounds; they are freely available.</p> <p>The repository includes data on estrogen and androgen receptor binding behavior (binder, non-binder), median inhibitory concentration (IC50) and relative binding affinity (RBA). </p> <p><strong>SDF fields:</strong></p> <ul> <li><em>DB</em> = database; where: COMPARA = Collaborative Modelling Project for Androgen Receptor Activity; CERAPP = Collaborative Estrogen Receptor Activity Prediction Project; Tox-DC = data from Tox21 program; PubChem = data from PubChem. </li> <li><em>Set</em> = whether the compound was used in training or test set for the given model</li> <li><em>Receptor</em> = AR stands for Androgen Receptor and ER stands for Estrogen Receptor</li> <li><em>binding_prp</em> = binding behaviour for the classification model (ER and AR). 1 = binder; = non-binder</li> <li><em>IC50 (nM) </em>and <em>logIC50</em> = median inhibitory concentration values in nanoMolar and log.</li> <li><em>RBA(%) </em>and <em>logRBA</em> = relative binding affinity values in % and log.</li> </ul>
Outcome of Childhood Adrenocortical Carcinoma in Developing Countries. Supplementary Table 1: Patients' characteristics and endocrinal manifestations
<p>Outcome of Childhood Adrenocortical Carcinoma in Developing Countries. Supplementary Table 1: Patients’ characteristics and endocrinal manifestations</p>
Study of Lanreotide Autogel 120 mg in Patients With Non-functioning Entero- Pancreatic Endocrine Tumour
ClinicalTrials.gov study NCT00842348. IPD Sharing: YES. Countries: 9. Publications: 2.
Study of Lanreotide Autogel in Non-functioning Entero-pancreatic Endocrine Tumours
ClinicalTrials.gov study NCT00353496. IPD Sharing: YES. Countries: 15. Publications: 3.
Personalized Mobile Intervention to Reduce Exposure to Endocrine Disrupting Chemicals in Adults of Child-Bearing Age
ClinicalTrials.gov study NCT05780047. IPD Sharing: YES. Countries: 1. Publications: 55.
Adjuvant Ribociclib With Endocrine Therapy in Hormone Receptor+/HER2- High Risk Early Breast Cancer
ClinicalTrials.gov study NCT03078751. IPD Sharing: YES. Countries: 1. Publications: 1.
Study Assessing the Efficacy and Safety of Alpelisib Plus Fulvestrant or Letrozole, Based on Prior Endocrine Therapy, in Patients With PIK3CA Mutant, HR+, HER2- Advanced Breast Cancer Who Have Progres
ClinicalTrials.gov study NCT03056755. IPD Sharing: YES. Countries: 19. Publications: 4.
Comparing an Operation to Monitoring, With or Without Endocrine Therapy (COMET) Trial For Low Risk DCIS
ClinicalTrials.gov study NCT02926911. IPD Sharing: YES. Countries: 1. Publications: 8.
Endocrine disruptors cause multigenerational and transgenerational epigenetic changes in fish exposed during early life
<p>The inland silverside, <i>Menidia beryllina</i>, is a euryhaline fish and a model organism in ecotoxicology. We previously showed that exposure to picomolar (ng/L) levels of endocrine disrupting chemicals (EDCs) can cause a variety of effects in <i>M. beryllina</i>, from changes in gene expression to phenotypic alterations. Here we explore the potential for early life exposure to EDCs to modify the epigenome in silversides, with a focus on multi- and transgenerational effects. EDCs included contaminants of emerging concern (the pyrethroid insecticide bifenthrin and the synthetic progestin levonorgestrel), as well as a commonly detected synthetic estrogen (ethinylestradiol), and a synthetic androgen (trenbolone) at exposure levels ranging from 3 to 10 ng/L. In a multigenerational experiment, we exposed parental silversides to EDCs from fertilization until 21 days post hatch (dph). Then we assessed DNA methylation patterns for three generations (F0, F1, and F2) in whole body larval fish using reduced representation bisulfite sequencing (RRBS). We found significant ( = 0.05) differences in promoter and/or gene body methylation in treatment fish relative to controls for all EDCs and all generations indicating that both multigenerational (F1) and transgenerational (F2) effects that were caused by strict inheritance of DNA methylation alterations and the dysregulation of epigenetic control mechanisms. Using gene ontology and pathway analyses, we found enrichment in biological processes and pathways representative of growth and development, immune function, reproduction, pigmentation, epigenetic regulation, stress response and repair (including pathways important in carcinogenesis). Further, we found that a subset of potentially EDC responsive genes (EDCRGs) were differentially methylated across all treatments and generations and included hormone receptors, genes involved in steroidogenesis, prostaglandin synthesis, sexual development, DNA methylation, protein metabolism and synthesis, cell signaling, and neurodevelopment. The analysis of EDCRGs provided additional evidence that differential methylation is inherited by the offspring of EDC-treated animals, sometimes in the F2 generation that was never exposed. These findings show that low, environmentally relevant levels of EDCs can cause altered methylation in genes that are functionally relevant to impaired phenotypes documented in EDC-exposed animals and EDC exposure has the potential to affect epigenetic regulation in fish that have not been directly exposed.</p>
Endocrine regulation of egg rejection in an avian brood parasite host
<p><span><span><span><span><span><span><span><span><span><span><span>Parasite-host coevolution can lead to novel behavioural adaptations in hosts to resist parasitism. In avian obligate brood parasite and host systems, many hosts species have evolved diverse cognitive and behavioural traits to recognize and reject parasitic eggs. Our understanding of the evolution and ecology of these defences hinges on our understanding of the mechanisms that regulate them. We hypothesized that corticosterone, a hormone linked to the stress-response, vigilance, and the suppression of parental behaviour, stimulates the rejection of foreign eggs by brood parasite hosts. We experimentally reduced circulating glucocorticoid levels with mitotane injections in American robins <i>Turdus migratorius</i> and found that the mitotane-treated birds rejected foreign eggs at a lower frequency compared to the sham-treated subjects. This is the first study to causally identify a potential mechanism of a widespread defence behaviour, and it is consistent with egg rejection being mediated by stress physiology.</span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Heritable variation in circulating glucocorticoids and endocrine flexibility in a free-living songbird
Phenotypic flexibility is a central way that organisms cope with challenging and changing environments. As endocrine signals mediate many phenotypic traits, heritable variation in hormone levels, or their context-dependent flexibility, could present an important target for selection. Several studies have estimated the heritability of circulating glucocorticoid levels under acute stress conditions, but little is known about the potential for either baseline hormone levels or rapid endocrine flexibility to evolve. Here we assessed the potential for selection to operate on the elevation (circulating hormone levels) and flexibility of glucocorticoid reaction norms to acute restraint stress. Multivariate animal models revealed low but significant heritability in baseline (h2=0.13-0.14) and stress-induced glucocorticoids (h2=0.18), and moderate heritability in glucocorticoid flexibility in response to acute stress (h2=0.38) in free-living juvenile tree swallows (Tachycineta bicolor; n=408). Baseline glucocorticoids were not genetically correlated with either stress-induced glucocorticoids or glucocorticoid flexibility. These findings indicate that baseline glucocorticoids and the acute stress response are distinct traits that can be independently shaped by selection. Microevolutionary changes that influence the expression or flexibility of these endocrine mediators of phenotype may be an important way that populations adapt to changing environments and novel threats.
Does scent attractiveness reveal women's ovulatory timing? Evidence from signal detection analyses and endocrine predictors of odor attractiveness
<p>Odor cues associated with shifts in ovarian hormones indicate ovulatory timing in females of many nonhuman species. Although prior evidence supports women's body odors smelling more attractive on days when conception is possible, that research has left ambiguous how diagnostic of ovulatory timing odor cues are, as well as whether shifts in odor attractiveness are correlated with shifts in ovarian hormones. Here, 46 women each provided 6 overnight scent and corresponding day saliva samples spaced 5 days apart, and completed luteinizing hormone tests to determine ovulatory timing. Scent samples collected near ovulation were rated more attractive, on average, relative to samples from the same women collected on other days. Importantly, however, signal detection analyses showed that rater discrimination of fertile window timing from odor attractiveness ratings was very poor. Within-women shifts in salivary estradiol and progesterone were not significantly associated with within-women shifts in odor attractiveness. Between-women, mean estradiol was positively associated with mean odor attractiveness. Our findings suggest that raters cannot reliably detect women's ovulatory timing from their scent attractiveness. The between-women effect of estradiol raises the possibility that women's scents provide information about overall cycle fecundity, though further research is necessary to rigorously investigate this possibility.</p>
Data from: Metabolic changes associated with two endocrine abnormalities in dogs: elevated fructosamine and low thyroxine
<p>Metabolomics studies in canine endocrine abnormalities are sparse and basic information on these abnormalities must be generated. This dataset includes the 1H NMR metabolic profiling results of 151 dog serum samples. The samples have been collected in an ethical way, being leftovers of clinical diagnostic samples. The sample set includes 25 control samples based on unremarkable routine clinical chemistry and hematology, 79 samples exhibiting high fructosamine which reflects poor glycemic control, and 47 samples with low thyroxine, a metabolically important thyroid hormone.</p> <p>The metabolite data and metadata were utilized in the study: Ottka et al. Metabolic changes associated with two endocrine abnormalities in dogs: elevated fructosamine and low thyroxine.</p> <p>The control group results were utilized also in: Ottka et al. Serum NMR metabolomics uncovers multiple metabolic changes in phenobarbital-treated dogs.</p>
Vocal babbling in a wild parrot shows life history and endocrine affinities with human infants
<p>Vocal babbling is a critical phase in infant language development and is best understood in temperate songbirds where it occurs primarily in males at reproductive maturity and is modulated by sex steroids. Parrots of both sexes are famous vocal imitators but a vocal babbling stage has gone unnoticed and it is not clear how the endocrine system is involved. We report on vocal babbling in both sexes of nestling wild green-rumped parrotlets (<em>Forpus passerinus</em>) in Venezuela. In addition, we show that corticosterone supplements resulted in individuals with larger repertoires after treatment had ended. Results indicate parrotlets begin babbling during an earlier life history stage compared to most songbirds and one in which corticosteroids play an important role. Here we include audio files of bouts of babbling from a sample of audio-video recorded inside specially designed nest cavities and a data set of spectrographic measurements taken on each element within each bout of babbling as well as associated metadata.</p> <p> </p>
supplement figure for Rubin et al. Journal of the Endocrine Society. 2022
<p>Supplement figure for Rubin et al. Relationship between hypoglycemia awareness status on Clarke/Gold methods and counterregulatory response to hypoglycemia 2022</p>
ScienceDex guides
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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.