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18,960 results for “Healthy”
Terminal density reversal and the role of Ca2+ in red blood cells clearance of healthy individuals
<p>Density reversal of senescent red blood cells (RBCs) has been known for more than ten years, yet the identity of the candidate protein(s) is still elusive. While performing Percoll density gradient separation of RBCs from healthy individuals and their subsequent characterization, we identified a fraction of cells in the low-density fraction (~0.025% compared to total RBCs population) which shows reversal in their densities along with the characteristics of cellular senescence such as loss of membrane Band 3 protein and the phosphatidylserine exposure to the outer membrane leaflet. Our subsequent analysis showed that these cells are overloaded with Ca<sup>2+</sup>. We further measured intracellular [Na<sup>+</sup>] in individual RBCs by flow cytometry utilizing the dye CoroNa Green-AM. Our findings showed that the cells with senescent characteristics lost their transmembrane Na<sup>+</sup> gradient despite maintaining the membrane integrity. Consequently, these findings lead us to designate these cells as “senescent-like” cells. Our data further demonstrated altered activities of nonselective cation channels and pumps in these cells. In addition to a facilitated Na+ extrusion by Na<sup>+</sup>, K+-ATPase, our findings indicated altered ion transport via Piezo1 in these cells. Pharmacological modulation of Piezo1 with Yoda1/GsMTx4 showed that Piezo1 and, possibly, other nonselective cation channels by promiscuously transporting Na<sup>+</sup> and Ca<sup>2+</sup> play an important role in producing these low density “senescent like” cells.</p>
CSV files and R script: writing process data of typed picture description by 15 cognitively impaired patients and 15 healthy controls
<p>Writing process data of 15 cognitively impaired patients and 15 age- and gender-matched healthy controls were obtained. Each of them completed two typed picture description tasks that were logged with Inputlog, a keystroke logging tool. Variables included time on task; number of characters, pauses and Pause-bursts per minute; proportion of pause time; duration of Pause-bursts; and pause time between words. For pause time between words, also the effect of pauses preceeding specific word categories was analyzed.</p> <p>The data were used to explore if the observation of writing behavior can assist in the screening and follow-up of mild cognitive impairment (MCI) and mild dementia due to Alzheimer’s disease (AD). This data set contains the CSV files that were used for the analyses and the corresponding R script.</p>
Data supporting the manuscript "Sexually divergent development of depression-related brain networks during healthy human adolescence"
<p>This data supports the manuscript "Sexually divergent development of depression-related brain networks during healthy human adolescence" by Dorfschmidt et al. Part of these <a href="https://doi.org/10.6084/m9.figshare.11551602">data</a> were initially released by Váša et al. (2020) as part of their <a href="https://doi.org/10.1073/pnas.1906144117">manuscript</a>. Please cite them when using these data. </p> <p> </p>
Metabolic and lipidomic data of patients with idiopathic pulmonary fibrosis and healthy volunteers
<p>The metabolomic / lipidomic datasets used in the manuscript draft entiteld: </p> <p>"Changes in Serum Metabolomics in Idiopathic Pulmonary Fibrosis and effect of approved antifibrotic medication"</p> <p>by</p> <p>Benjamin Seeliger, Alfonso Carleo, Pedro David Wendel-Garcia, Jan Fuge, Ana Montes Worboys, Sven Schuchardt, Maria Molina-Molina and Antje Prasse</p> <p>Data is untransformed and missing data were imputated. All values are in µmol/L.</p>
Cardiopulmonary excercise breath-by-breath data during locomotion at variable speed in 28 healthy young subject
<p>Ergospyrometric evaluations are useful in physio-mechanics of locomotion.</p> <p>This dataset includes the raw ergospyrometric data of 28 young subjects during locomotion at variable speed, walk and run on a treadmill at different speeds and gaits.</p> <p>Characteristics of the experimental group:</p> <p>- gender: 28 males<br> - age: 32. 53 (10.99SD)<br> - height: 175.0 cm (0.008 SD)<br> - weight: 72.96 kg (9.51 SD)</p> <p>Equipments:<br> - Cosmed K5 wearable metabolic analyzer<br> - Software Cosmed Omnia v.1.6.5</p> <p>Experimental design:<br> -The Walking Run Transtition Speed(W-R Ts) were experimentally determined. Each subject was asked to perform 3 trials on a treadmill (GE T2100, General Electric, USA), with a staircase protocol of increasing speeds. The ramp was designed to start at a comfortable walking gait (3.0 km h-1), and to increase the speed by 0.5 km.h-1 each 15 s. When the subject started to run, the ramp was stopped and the speed marked down on a worksheet. The average or the modal transition speed was taken as the Ts of the subject. All the treadmill trials were performed in the Biomechanics Research and Movement Analyses Laboratory (LIBiAM) of the Universidad de la República in Paysandú (Uruguay), at a controlled temperature of 25ºC.</p> <p>The theoretical transition speed tTs was computed according to the Froude number equation (Alexander. 1976): v = (nFr g LL)0.5, where v is the theoretical speed, g is gravity, LL is the leg length and nFr the Froude number, which was set to the constant value of 0.5, corresponding to the W-R transition (Alexander & Jayes, 1983; Alexander, 2003; Bona et al., 2019).</p> <p>Experimental speed ramp:</p> <p>-A personalized ascending and descending speed ramp was designed, centered on the transition speed and ranged from (Ts= Transition speed) Ts-20% to Ts+20%, each step lasting 5 s. Each ramp cycle lasted 50 s, and was repeated 5 times, for a total trial time of 250 s. The trial was repeated twice.</p> <p>Note: not all the subject performed the entire protocol. In particular some data are lacking in track.</p> <p>Cost of Transport Analysis:</p> <p>- The resting O2 (RO2) consumption was computed as the averaged VO2 (ml/min/kg) of the 5' in orthostasis. - The trial O2 (TO2) consumption was computed as the averaged VO2 (ml/min/kg) of the last 2' of each speed trial - The exercise O2 (EO2) consumption was computed as TO2 - RO2 - The trial respiratory quotient (RQ) was computed as the averaged RQ (VCO2/VO2) of the last 2' of each speed trial - The RQ based Energetic Equivalent (EE) to transform mlO2 in Joules was derived from Di Prampero (2015). - The metabolic power (W/kg) was computed as (EO2 * EE) / 60 (remember that W = J/s) - The Cost of transport (J/kg/m) was computed by dividing the metabolic power for the speed (m/s) (Saibene and Minetti, 2003).</p> <p> All the participants signed an informed consent. The protocol was approved by the Ethical Committee of the University (#311170-000921-19).<br> </p> <p>Dataset legend.</p> <p><br> Filename:<br> - Subject ID (S1, S2...)<br> - Contents (Orthostasis, Walk, Run, Skip and speed)<br> - Mode (CPET Breath by breath)<br> - Date and time<br> <br> Columns A to I<br> - General info (sensitive data were deleted)<br> - Speed and gait of the trial<br> - When resting in orthostasis was included, it was marked in green<br> Columns of interest (for the other columns please refer to the Cosmed K5 / Cosmed Omnia manuals)<br> <br> J = Time in sec.<br> O = VO2 oxygen consumption in ml/min<br> P = CO2 carbon dioxide production in ml/min<br> Q = RQ respiratory quotient (VCO2/VO2)<br> V = VO2/kg oxygen consumption per kg (ml/min/kg)<br> AI = Marker: Begin and End of each trial and of the resting in orthostasis have been marked</p> <p>Marked row are in yellow or green</p> <p>AJ-AN = Environmental data<br> BA-BF = GPS data</p> <p><br> </p>
The effects of robotic assistance on upper limb spatial muscle synergies in healthy people during planar upper-limb training
<p>This is the minimal dataset underlying the paper:</p> <p>"The effects of robotic assistance on upper limb spatial muscle synergies in healthy people during planar upper-limb training"</p>
CD8+ T cells of healthy donors sorted for Dextramer positive cells
<p>This dataset is analyzed in the study by Schneider-Hohendorf and colleagues concerning the phenotype of antigen-specific CD8+ T cells.</p>
Micro-CT Imaging Dataset on ex-vivo Ovine Functional Spinal Segments as Healthy, Injured and Treated with Cement Discoplasty
<p>General information:</p> <p>- This dataset contains micro-CT images and mechanical test data from ovine functional spinal units (FSU). <br> - The micro-CT data was produced using a Bruker SkyScan 1172. The settings for the scans are given in the '.log' files in each folder. <br> - The compression testing was conducted on an MTS 858 Mini Bionix T/II. The settings for each test can be found in test '.txt' files.<br> - In short, every FSU was mechanically tested in compression under different conditions. Before and after every test, the FSUs were scanned to ensure there was no damage<br> to the sample. More information can be found in the related publication: <br> - The mechanical testing data is arranged in folders with consecutive cycles. It is highly recommended to use the last three cycles for analysis. </p> <p>Data set notation:</p> <p>- All the datasets are noted by Sheep number. Sh7 = Sheep 7; Sh8 = Sheep 8; Sh9 = Sheep 9. In the publication, the numbers were switched to 1,2,3 respectively.<br> - files denoted with '_rec' contain the reconstruction of the projection images. <br> - 'Tested' or 'After test' files refers to the scan after mechanical testing. </p>
Healthy aging for Europe's elderly
<p>Using of Duplin Core Fields (DC) in first FAIR implementation and described in the SHAPES Collaborative Governance Model D3.5 documentation</p>
Figure 4: The estimated impedance within the measured frequency range for the symmetric (*) and the asymmetric (o) case against averaged data from healthy subjects-THE RESPIRATORY IMPEDANCE IN AN ASYMMETRIC MODEL OF THE LUNG STRUCTURE
<p>It is significant to observe that in the frequency interval of clinical interest,<br> ! 2 [25; 300] rad/s, the two impedances tend to behave similarly. For the<br> asymmetric case, we have a decrease of about -10dB/dec and a phase of ap-<br> proximately ¡50o, resulting in a fractional order of n »=</p> <p>This observation suggests that a combined efect of more than one fractal order is present in the<br> lungs and that it leads naturally to values closer to measured data in the low<br> frequency range. In other words, the symmetric tree representation does not<br> suffice to obtain a good fit between the model and the measured impedance<br> data. Another observation is that the constant-phase behavior is emphasized<br> at frequencies below those evaluated standardly in clinical practice, i.e. below<br> 5Hz. However, in the standard clinical range of frequencies for the forced oscil-<br> lation technique, namely 4-48Hz, both symmetric and asymmetric tree models<br> give similar results, as depicted in ¯gure 4</p>
Figure 4: The estimated impedance within the measured frequency range for the symmetric (*) and the asymmetric (o) case against averaged data from healthy subjects
<p>Another observation is that the constant-phase behavior is emphasized<br> at frequencies below those evaluated standardly in clinical practice, i.e. below<br> 5Hz. However, in the standard clinical range of frequencies for the forced oscil-<br> lation technique, namely 4-48Hz, both symmetric and asymmetric tree models<br> give similar results, as depicted in ¯gure 4 and ¯gure 5.</p>
single cell RNA seq data of 3 healthy sample from frontal lobe and temporal lobe
<p><span>Frontotemporal lobe abnormalities are linked to neuropsychiatric disorders and cognition, but the role of cellular heterogeneity between temporal lobe (TL) and frontal lobe (FL) in the vulnerability to genetic risk factors remains to be elucidated. We provided single-nucleus transcriptome analysis in “fresh” human FL and TL which are integrated with genetic susceptibility, gene dysregulation in neuropsychiatric disease, and psychoactive drug response data. We show how intrinsic differences between TL and FL contribute to the vulnerability of specific cell types to both genetic risk factors and psychoactive drugs. Neuronal populations, specifically PVALB-neurons, were most highly vulnerable to genetic risk factors for psychiatric disease. These psychiatric disease-associated genes were mostly upregulated in the TL, and dysregulated in the brain of patients with obsessive-compulsive disorder, bipolar disorder and schizophrenia. these data provide prefound insight into brain frontotemporal lobe.</span></p>
Normalized and batch-corrected concentration of 43 immune markers from 248 subjects with stress-related mental disorders and 36 healthy controls
<h1>Abstract</h1> <p>In a subset of patients with mental disorders, such as depression, low-grade inflammation and altered immune marker concentrations are observed. However, these immune alterations are often assessed by only one data type and small markers panels. Here, we used a transdiagnostic approach and combined data from two cohorts to define subgroups of depression symptoms across the diagnostic spectrum through a large-scale multi-omics clustering approach in 237 individuals. The method incorporated age, body mass index (BMI), 43 plasma immune markers and RNA-seq data from peripheral mononuclear blood cells (PBMCs). Our initial clustering revealed four clusters, including two immune-related depression symptom clusters characterized by elevated BMI, higher depression severity and elevated levels of immune markers such as interleukin-1 receptor antagonist (IL-1RA), C-reactive protein (CRP) and C-C motif chemokine 2 (CCL2 or MCP-1). In contrast, the RNA-seq data mostly differentiated a cluster with low depression severity, enriched in brain related gene sets. This cluster was also distinguished by electrocardiography data, while structural imaging data revealed differences in ventricle volumes across the clusters. Incorporating predicted cell type proportions into the clustering resulted in three clusters, with one showing elevated immune marker concentrations. The cell type proportion and genes related to cell types were most pronounced in an intermediate depression symptoms cluster, suggesting that RNA-seq and immune markers measure different aspects of immune dysregulation. Lastly, we found a dysregulation of the SERPINF1/VEGF-A pathway that was specific to dendritic cells by integrating immune marker and RNA-seq data. This shows the advantages of combining different data modalities and highlights possible markers for further stratification research of depression symptoms.</p> <h1>Methods</h1> <p>The normalized and batch-corrected concentration of 43 immune markers from 237 subjects with stress-related mental disorders and 36 healthy controls was determined in plasma. This data was used in the initial analysis. Additionally, the same measurements are provided for 11 subjects with stress-related mental disorders used in a replication analysis.</p> <p>- blood was collected in the morning under fasted conditions and plasma stored at -80°C until further processing<br>- samples were randomized into 96 well plates<br>- immune marker concentration was measured with the Meso Scale Diagnostics V-PLEX Human Biomarker 54-Plex Kit and the MESO QuickPlex SQ 120 imager according to the manufacturer's instructions<br>- additionally, high-sensitivity C-reactive protein (Tecan Group Ltd.), cortisol (Tecan Group Ltd.), interleukin (IL)-6 (Thermo Fisher Scientific), IL-6 soluble receptor (Thermo Fisher Scientific) and IL-13 (Thermo Fisher Scientific) was measured via ELISA according to the manufacturer's instructions<br>- values below the detection limit in markers measured with ELISA were set to zero and values above the detection limit to the upper limit<br>- the data was quantile-normalized (values were ranked and mapped to the quantiles of a standard normal distribution)<br>- the normalized concentration was corrected for the biobank storage position (batch_variable) via a linear model and the residuals reported as the concentration</p> <p>The following markers were measured:<br>fibroblast growth factor 2 (FGF2 or bFGF), cortisol, C-C motif chemokine 11 (CCL11 or eotaxin), CCL26 (eotaxin-3), vascular endothelial growth factor receptor 1 (VEGFR1 or Flt-1), hsCRP, intercellular adhesion molecule (ICAM)-1, interferon (IFN)-gamma, IL-1alpha, IL-1 receptor antagonist (IL-1RA), IL-10, IL-12/IL-23p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL-17B, IL-2, IL-27, IL-31, IL-5, IL-6 high sensitivity (IL-6HS), IL-7, IL-8HS, C-X-C motif chemokine 10 (CXCL10 or IP-10), CCL2 (MCP-1), CCL13 (MCP-4), CCL22 (MDC), CCL3 (MIP-1alpha), CCL4 (MIP-1beta), placental growth factor (PlGF), serum amyloid A (SAA), sIL-6R, CCL17 (TARC), angiopoietin-1 receptor (Tie-2), tumor necrosis factor (TNF or TNF-alpha), lymphotoxin-alpha (LT-alpha or TNF-beta), thymic stromal lymphopoietin (TSLP), vascular cell adhesion protein 1 (VCAM-1), vascular endothelial growth factor (VEGF)-A-HS, VEGF-C, VEGF-D</p> <p>The data is provided as a tab separated file.</p>
Fig. 4 in Movement of Diaphorina citri (Hemiptera: Liviidae) adults between huanglongbing-infected and healthy citrus
Fig. 4. Sketch of Y-tube for determining the taxis of Diaphorina citri adults to green, yellow, and white boards.
Fig. 3 in Movement of Diaphorina citri (Hemiptera: Liviidae) adults between huanglongbing-infected and healthy citrus
Fig. 3. Device and set-up for determining the selection by Diaphorina citri adults of detached citrus shoots that were either young and infected, or young and healthy; or of detached shoots either with infected mature-yellow leaves, or with physiologically mature-yellow leaves, or with healthy mature-green leaves, or with infected mature-green leaves.
Fig. 5 in Movement of Diaphorina citri (Hemiptera: Liviidae) adults between huanglongbing-infected and healthy citrus
Fig. 5. Selection by Diaphorina citri adults of detached shoots of various conditions under continuous illumination. Bars with the same letter without parentheses are not significantly different among various conditions of shoots in the same adult group; bars with the same letter within parentheses are not significantly different among the 3 adult groups (Tukey's HSD test or Friedman test, P <0.05).
Fig. 1 in Movement of Diaphorina citri (Hemiptera: Liviidae) adults between huanglongbing-infected and healthy citrus
Fig. 1. Sketch of H-shaped device for determining the choices of Diaphorina citri adults for HLB-infected versus healthy citrus plants either in darkness or in normal illumination. The device was made of an opaque plastic, and the cylinders were covered either with 2 black paperboards or with 2 transparent plastic boards.
Figure 5.(a)Linear (y=0.45x + 57.74) dose-response relationship between plasma propranolol to % β- adrenergeric blockade derived from healthy study participants and translate into patients with angina pectoris. This image has been adapted from(Pine et al., 1975).-The Brain and Propranolol Pharmacokinetics in the Elderly
<p>Apharmacodynamic model,with parameters in the table below, may be used to visualize the<br> propranolol concentration-effect (β-blockade) relationship in patients suffering from angina pectoris.<br> These results have been adapted from the Pine et al article published in Circulation in 1975 which<br> identified a linear relationship plasma Propranolol (ng/mL) to an effect of % β-Adrenergic Blockade<br> in a single-oral dose of 40mg Propranolol in exercising individuals (Pine et al., 1975).</p>
Multisensor measurement of healthy adult performance during standardised motor function test battery
<p>This dataset contains inertial data from 4 wearable sensor nodes and 1 wearable patch worn by 20 healthy adult participants performing a series of physical functioning tests (including the short physical performance battery, the timed up and go test, a walking test and balance tests). Details of patient demographics, the physical functioning tests and of each sensor are contained in files in the main folder.</p> <p>Inertial data (accelerometer and gyroscope) is contained in two folders relating to each sensor type. The start and end time for each sensor can be taken from the details in each folder structure, as detailed below. The times given are specific to each sensor's monitoring system which are not exactly synchronised. As such, a manual synchronisation shaking protocol was followed where all sensors were strapped together and shaken three times in succession at the start of each data collection period. The physical functioning test times will also need to be synchronised.</p> <p>-> Inertial sensor data / (subject id).zip / (subject id) / (date_time_crossTest_SD_session#) /<br> -> Wearable inertial patch / (subject id) / (date)T(time) /</p>
100,000 histological images of human colorectal cancer and healthy tissue
<p><strong>Data Description "NCT-CRC-HE-100K"</strong></p> <ul> <li>This is a set of 100,000 non-overlapping image patches from hematoxylin & eosin (H&E) stained histological images of human colorectal cancer (CRC) and normal tissue.</li> <li>All images are 224x224 pixels (px) at 0.5 microns per pixel (MPP). All images are color-normalized using Macenko's method (http://ieeexplore.ieee.org/abstract/document/5193250/, DOI <a href="https://doi.org/10.1109/ISBI.2009.5193250">10.1109/ISBI.2009.5193250</a>).</li> <li>Tissue classes are: Adipose (ADI), background (BACK), debris (DEB), lymphocytes (LYM), mucus (MUC), smooth muscle (MUS), normal colon mucosa (NORM), cancer-associated stroma (STR), colorectal adenocarcinoma epithelium (TUM).</li> <li>These images were manually extracted from N=86 H&E stained human cancer tissue slides from formalin-fixed paraffin-embedded (FFPE) samples from the NCT Biobank (National Center for Tumor Diseases, Heidelberg, Germany) and the UMM pathology archive (University Medical Center Mannheim, Mannheim, Germany). Tissue samples contained CRC primary tumor slides and tumor tissue from CRC liver metastases; normal tissue classes were augmented with non-tumorous regions from gastrectomy specimen to increase variability.</li> </ul> <p><strong>Ethics statement "NCT-CRC-HE-100K"</strong></p> <p>All experiments were conducted in accordance with the Declaration of Helsinki, the International Ethical Guidelines for Biomedical Research Involving Human Subjects (CIOMS), the Belmont Report and the U.S. Common Rule. Anonymized archival tissue samples were retrieved from the tissue bank of the National Center for Tumor diseases (NCT, Heidelberg, Germany) in accordance with the regulations of the tissue bank and the approval of the ethics committee of Heidelberg University (tissue bank decision numbers 2152 and 2154, granted to Niels Halama and Jakob Nikolas Kather; informed consent was obtained from all patients as part of the NCT tissue bank protocol, ethics board approval S-207/2005, renewed on 20 Dec 2017). Another set of tissue samples was provided by the pathology archive at UMM (University Medical Center Mannheim, Heidelberg University, Mannheim, Germany) after approval by the institutional ethics board (Ethics Board II at University Medical Center Mannheim, decision number 2017-806R-MA, granted to Alexander Marx and waiving the need for informed consent for this retrospective and fully anonymized analysis of archival samples).</p> <p><strong>Data set "CRC-VAL-HE-7K"</strong></p> <p>This is a set of 7180 image patches from N=50 patients with colorectal adenocarcinoma (no overlap with patients in NCT-CRC-HE-100K). It can be used as a validation set for models trained on the larger data set. Like in the larger data set, images are 224x224 px at 0.5 MPP. All tissue samples were provided by the NCT tissue bank, see above for further details and ethics statement.</p> <p><strong>Data set "NCT-CRC-HE-100K-NONORM"</strong></p> <p>This is a slightly different version of the "NCT-CRC-HE-100K" image set: This set contains 100,000 images in 9 tissue classes at 0.5 MPP and was created from the same raw data as "NCT-CRC-HE-100K". However, no color normalization was applied to these images. Consequently, staining intensity and color slightly varies between the images. Please note that although this image set was created from the same data as "NCT-CRC-HE-100K", the image regions are not completely identical because the selection of non-overlapping tiles from raw images was a stochastic process.</p> <p><strong>General comments</strong></p> <p>Please note that the classes are only roughly balanced. Classifiers should never be evaluated based on accuracy in the full set alone. Also, if a high risk of training bias is excepted, balancing the number of cases per class is recommended.</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.