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106 results for “Blood plasma”
Genome-wide association summary statistics for human blood plasma glycome
<p>The dataset contains results of genome-wide association study of human blood plasma glycome. The 113 files contain association summary statistics for 113 glycome traits, of which 36 were directly measured by UPLC technology and 77 were derived glycome traits. Description of each glycome trait can be found in the <strong>Additional notes</strong> section. This dataset is also available for graphical exploration in the genomic context at <a href="http://gwasarchive.org">http://gwasarchive.org</a>. </p> <p>The data are provided on an "AS-IS" basis, without warranty of any type, expressed or implied, including but not limited to any warranty as to their performance, merchantability, or fitness for any particular purpose. If investigators use these data, any and all consequences are entirely their responsibility. By downloading and using these data, you agree that you will cite the appropriate publication in any communications or publications arising directly or indirectly from these data; for utilisation of data available prior to publication, you agree to respect the requested responsibilities of resource users under 2003 Fort Lauderdale principles; you agree that you will never attempt to identify any participant. This research has been conducted using the UK Biobank Resource and the use of the data is guided by the principles formulated by the UK Biobank.</p> <p><strong>When using downloaded data, please cite corresponding paper and this repository:</strong></p> <ol> <li>Sharapov, S. Z., Tsepilov, Y. A., Klaric, L., Mangino, M., Thareja, G., Shadrina, A. S., … Aulchenko, Y. (2019). Defining the genetic control of human blood plasma N-glycome using genome-wide association study. <em>Human Molecular Genetics</em>. http://doi.org/10.1093/hmg/ddz054</li> <li>Sodbo Sharapov, Yakov Tsepilov, Lucija Klaric, Massimo Mangino, Gaurav Thareja, Mirna Simurina, Concetta Dagostino, Julia Dmitrieva, Marija Vilaj, FranoVuckovic, Tamara Pavic, Jerko Stambuk, Irena Trbojevic-Akmacic, Jasminka Kristic, Jelena Simunovic, Ana Momcilovic, Harry Campbell, Malcolm Dunlop, Susan Farrington, Maria Pucic-Bakovic, Christian Gieger, Massimo Allegri, Edouard Louis, Michel Georges, Karsten Suhre, Tim Spector, Frances MK Williams, Gordan Lauc, Yurii Aulchenko. (2018). Genome-wide association summary statistics for human blood plasma glycome (Version 1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1298406</li> </ol> <p><strong>Funding</strong></p> <p>This work was supported by the European Community’s Seventh Framework Programme funded project PainOmics (Grant agreement # 602736) and by the European Structural and Investments funding for the "Croatian National Centre of Research Excellence in Personalized Healthcare" (contract #KK.01.1.1.01.0010).</p> <p>The work of SSh was supported by the Russian Ministry of Science and Education under the 5-100 Excellence Programme.</p> <p>The work of YT was supported by the Federal Agency of Scientific Organizations via the Institute of Cytology and Genetics (project #0324-2018-0017).</p> <p>Karsten Suhre and Gaurav Thareja are supported by ‘Biomedical Research Program’ funds at Weill Cornell Medicine - Qatar, a program funded by the Qatar Foundation. We thank all staff at Weill Cornell Medicine - Qatar and Hamad Medical Corporation, and especially all study participants who made the QMDiab study possible.</p> <p>The SOCCS study was supported by grants from Cancer Research UK (C348/A3758, C348/A8896, C348/ A18927); Scottish Government Chief Scientist Office (K/OPR/2/2/D333, CZB/4/94); Medical Research Council (G0000657-53203, MR/K018647/1); Centre Grant from CORE as part of the Digestive Cancer Campaign (<a href="http://www.corecharity.org.uk">http://www.corecharity.org.uk</a>).</p> <p>TwinsUK is funded by the Wellcome Trust, Medical Research Council, European Union, the National Institute for Health Research (NIHR)-funded BioResource, Clinical Research Facility and Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust in partnership with King’s College London.</p> <p><strong>Column headers:</strong></p> <ol> <li>SNP: SNP rsID</li> <li>CHR: chromosome</li> <li>POS: position (GRCh37 build) </li> <li>OTHER_ALLELE: reference allele (coded as "0")</li> <li>EFFECT_ALLELE: effective allele (coded as "1")</li> <li>EAF: effective allele frequency </li> <li>N: sample size</li> <li>BETA: effect size of effective allele</li> <li>SE: standard error of effect size</li> <li>PVAL: P-value of association (without GC correction)</li> <li>IMPUTATION: imputation quality</li> </ol>
Raw Data on Extracellular Particles in 613 Human and 163 Canine Diluted Plasma and Blood Samples Assessed by Interferometric Light Microscopy
<p><span>Extracellular nanoparticles (EPs) are cellular fragments. After being released in cell exterior, they become mediators of the cell-cell interaction. Their characterization in bodily fluids may reflect the clinical status of the organism. Here we present data on the number density <em>n</em> and hydrodynamic diameter <em>D</em><sub>h </sub>of EPs assessed directly in diluted plasma and blood by using a recently developed technique, Interferometric Light Microscopy (Romolo et al., 2022). The data are presented in the attached Table. </span></p> <p><span>We collected 613 blood and plasma samples from human patients with Inflammatory Bowel Disease (IBD) taken into tubes with trisodium citrate and ethylenediaminetetraacetic acid (EDTA) anticoagulants and 163 blood and plasma samples from canine patients with Brachycephalic Obstructive Airway Syndrome (BOAS). </span><span>The human study was conducted in accordance with the Declaration of Helsinki, and approved by the National Medical Ethics Committee of the Republic of Slovenia (0120-271/2022/4; KME 27 July 2022). All procedures in the animal study complied with the relevant Slovenian government regulations (Animal Protection Act, Official Gazette of the Republic of Slovenia, No. 43/2007). The animal study was approved by the Animals in Experiments Welfare Commission of the Veterinary Faculty, University of Ljubljana, approval number 18-3/2022-1. </span><span>Information regarding sample preparation is documented in the MIBlood-EV reports.</span></p> <div> <div> <div><span><a name="_msocom_1"></a></span></div> </div> </div>
Storage time and temperature affect plasma osmolality values in field-collected blood samples
<p>Data and code for a study assessing the effect of storage conditions on blood plasma samples, published in Comparative Biochemistry and Physiology in 2024.</p>
Massively parallel sequencing data of the HIV-1 pol region generated from the plasma of therapy-naïve chronically infected Brazilian blood donors
<p>The submitted massively parallel sequencing (MPS) data were partial data from the pol region of HIV-1 plasma viruses. Samples were obtained from 18 therapy-naive HIV-1 Brazilian blood donors with longstanding infection. Illumina ultra-deep sequencing technology (MiSeq platform) was used to generate the sequences. </p>
Beta-hydroxybutyrate ketone concentrations via ketometer and colorimetric assay in Steller sea lion whole blood and plasma
<p>We evaluated the Precision Xtra™ ketometer during a larger study categorizing free-ranging Steller sea lion (<em>Eumetopias jubatus</em>; SSL) pup fasting status, necessitating identification of plasma β-hydroxybutyrate concentrations ([β-HBA]) around a < and ≥0.3 mmol/L threshold. Whole blood samples mixed with sodium heparin (NaHep) or ethylenediaminetetraacetic acid liquid anticoagulants were tested <10 minutes after collection (n=14; triplicate technical replicates). Plasma (stored at -80°C, NaHep, <em>Thaw1</em>) measured via our laboratory's <em>Reference Assay </em>(Sigma Aldrich, St. Louis, MO, Kit #MAK041) served as the standard [β-HBA] for ketometer comparisons. Our observed β-HBA range (0.0–1.6 mmol/L), consistent with published [β-HBA] of free-ranging Otariid pups, represented the lower 20% of the ketometer's range (0.0–8.0 mmol/L). The maximal coefficient of variation (%CV) of ketometer technical replicates was 9.1% (NaHep, whole blood). The majority of ketometer technical replicate sets (84%, including all matrices, anticoagulants, and thawings) were identical (CV=0%). We found linear relationships and agreement of ketometer [β-HBA] between whole blood preserved with different anticoagulants and between whole blood and plasma (<em>Thaw1</em>) measurements. The ketometer produced results with linearity to the <em>Reference Assay</em> for both whole blood and plasma (<em>Thaw1</em>). We identified a non-linear relationship between plasma at <em>Thaw1</em> and <em>Thaw2</em> (tested four months apart, NaHep), as only samples with higher SSL [B-HBA] decreased in concentration, and all others remained the same. With respect to categorizing SSL pup fasting, the ketometer % Accuracy, %Sensitivity, and %Specificity for samples with <em>Reference Assay</em> β-HBA <0.2 and >0.4 mmol/L were 100%. We adopted a modified procedure: plasma samples with mean ketometer concentrations ±0.1 mmol/L of 0.3 mmol/L β-HBA were re-evaluated using the <em>Reference Assay</em>, improving measurement precision from tenths (ketometer) to thousandths (assay) mmol/L. The Precision Xtra™ ketometer was valuable to our application, over the range of [β-HBA] observed in SSL pup plasma and whole blood samples.</p>
Using protein isolation on elasmobranch blood plasma for ecological research and stable isotope analysis
<p>Stable isotope analysis is a useful tool for studying the ecology of elasmobranchs. Analysis of elasmobranch blood plasma provides insight into an individual's ecology on a small temporal scale. However, plasma is a systemic transport vessel containing many dissolved constituents in variable amounts, which may bias analyses and ecological conclusions based on that data.</p> <p>In this study, we develop a new method of protein precipitation using ethanol and acetonitrile to isolate the protein fraction of plasma from Sandbar Sharks, and examine its effects on carbon and nitrogen stable isotope values. We also tested these solvent precipitations on bovine serum albumin as a control to assess the introduction of exogenous sources of C and N.</p> <p>Protein isolation resulted in a significant decrease in δ<sup>13</sup>C values and a significant increase in C:N compared to untreated plasma. Isolated proteins were not significantly different in δ<sup>15</sup>N value compared to untreated plasma. We observed no change in isotope composition in bovine serum albumin samples, indicating protein precipitation does not itself affect isotope analysis.</p> <p>These results suggest that the preparation of blood plasma is necessary for stable isotope analysis, to eliminate the biasing effects of other dissolved compounds. We find that solvent precipitation is an effective method of isolating proteins for stable isotope studies.</p>
Amines and lipids metabolites in blood plasma and saliva samples in pigs.
<p>The dataset presented in here is generated in a project named "<strong>Effects of sanitary and health status on amino acid and energy metabolism of growing-finishing pigs.</strong>" The metabolomics data from two samples types in pigs were generated in collaboration with Metabolomics Facility Leiden, The Netherlands and Wageningen Livestock Research, The Netherlands. This collaboration was realized and funded by Enabling Technology Hotels programme, ZonMW, NWO, The Netherlands (<strong>project number: 435005015</strong>). </p> <p>Targeted quantification of metabolites in two metabolomic platforms covering amines and oxidative stress metabolites in the blood and saliva samples in pigs. The samples were collected from a feeding trial. Briefly, After weaning, i.e., at week 4, pigs were fed a starter (4-9 weeks), grower (9-14 weeks), and finisher (14-22 weeks) diet containing either starch or fat as an energy source. At week 9, before the pigs were fed the grower diet, blood plasma and saliva samples were collected from the pigs (n=6) and the animals were stratified according to different hygiene conditions. At week 14, i.e., before the pigs received the finisher diet, and at week 22, i.e., at the end of this experiment, blood plasma and saliva samples were collected from the pigs (n=6) in the cohort receiving a diet with a different energy source under contrasting sanitary status. </p> <p>Targeted quantification of metabolites in two metabolomic platforms covering amines and oxidative stress metabolites in the blood and saliva samples in pigs. The number of identified metabolites are shown in Table 1.</p> <p><strong>Table 1</strong>: <strong>Number of identified amines and lipids metabolites in blood plasma and saliva samples in pigs.</strong> </p> <table> <tbody> <tr> <td> <table align="center"> <tbody> <tr> <td> <p> </p> </td> <td> <p>Data reported as</p> </td> </tr> <tr> <td> </td> <td> <p>Peak areas<sup>1</sup></p> </td> <td> <p>Relative response ratios<sup>4</sup></p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p>Confidence<sup>2</sup></p> </td> <td> <p>Caution<sup>3</sup></p> </td> <td> <p>Confidence</p> </td> <td> <p>Caution</p> </td> </tr> <tr> <td> <p><em>Amines</em></p> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <p>Blood plasma</p> </td> <td> <p>not required</p> </td> <td> <p>not required</p> </td> <td> <p>58</p> </td> <td> <p>2</p> </td> </tr> <tr> <td> <p>Saliva</p> </td> <td> <p>not required</p> </td> <td> <p>not required</p> </td> <td> <p>52</p> </td> <td> <p>5</p> </td> </tr> <tr> <td> <p><em>Lipids </em></p> <p><em>(low pH)</em></p> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <p>Blood plasma</p> </td> <td> <p>47</p> </td> <td> <p>17</p> </td> <td> <p>47</p> </td> <td> <p>17</p> </td> </tr> <tr> <td> <p>Saliva</p> </td> <td> <p>18</p> </td> <td> <p>34</p> </td> <td> <p>52</p> </td> <td> <p>11</p> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <p><em>Lipids </em></p> <p><em>(High pH)</em></p> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <p>Blood plasma</p> </td> <td> <p>24</p> </td> <td> <p>25</p> </td> <td> <p>24</p> </td> <td> <p>25</p> </td> </tr> <tr> <td> <p>Saliva</p> </td> <td> <p>28</p> </td> <td> <p>17</p> </td> <td> <p>28</p> </td> <td> <p>17</p> </td> </tr> </tbody> </table> <p> </p> </td> </tr> </tbody> </table> <p></p> <p><sup>1</sup> For the lipid platform, large variations in internal standard were observed between study samples. This could be due to the difference in matrix effect between the study samples, i.e., blood plasma and saliva. It is known that the matrix effect varies significantly depending on the origin of the samples and is influenced by phenotypic characteristics such as species, age, and gender. Therefore, peak areas were provided as an additional data set that can be used as input data for downstream metabolomics analysis.</p> <p><sup>2</sup> Metabolite signaling complied with the acceptance criteria of RSDqc <15%.</p> <p><sup>3</sup> Metabolite signaling did not comply with the acceptance criteria of our quality control i.e. of RSDqc <15%, but they present RSDs up to 30%.</p> <p><em><sup>4</sup> </em>target area/ISTD area; unit free<em>.</em> </p> <p>Available data-set:</p> <p>-Four different signaling lipids data-set: 1) peak areas for plasma samples, 2) peak area ratios (metabolite to ISTD) for plasma samples, 3) peak areas for saliva samples, and 4) peak area ratios (metabolite to ISTD) for saliva samples.</p> <p> - Two signalling amine data-set: 1) peak area ratios (metabolite to ISTD) for plasma samples, and 2) peak area ratios (metabolite to ISTD) for saliva samples.</p> <p> </p>
Data from: Pathogen reduction of monkeypox virus in plasma and whole blood using riboflavin and UV light
<p>Background</p> <p>Monkeypox virus has recently emerged from endemic foci in Africa and, to date, several hundred human infections have been reported from at least 16 non-African countries. The detection of virus in skin lesions, blood, semen, and saliva of infected patients with monkeypox infections raises the potential for disease transmission via routes that have not been previously documented, including by blood and plasma transfusions. Methods for protecting the blood supply against the threats of newly emerging disease agents exist and include Pathogen Reduction Technologies (PRT) which utilize photochemical treatment processes to inactivate pathogens in blood while preserving the integrity of plasma and cellular components. Such methods have been employed broadly for over 15 years, but effectiveness of these methods under routine use conditions against monkeypox virus has not been reported.</p> <p>Results</p> <p>The levels of spiked virus present in whole blood and plasma samples exceeded 103 infectious particles per dose, corresponding to greater than 105 DNA copies per mL. Treatment of whole blood and plasma units under standard operating procedures for the Mirasol PRT System resulted in complete inactivation of infectivity to the limits of detection. This is equivalent to a reduction of ≥ 2.86 +/- 0.73 log10 pfu/mL of infectivity in whole blood and ≥ 3.47 +/-0.19 log10 pfu/mL of infectivity in plasma under standard operating conditions for those products. </p> <p>Conclusion</p> <p>Based on this data and corresponding studies on infectivity in patients with monkeypox infections, use of Mirasol PRT would be expected to significantly reduce the risk of transfusion transmission of monkeypox.</p>
Study to Evaluate Effect of a Single Dose of Sotatercept (ACE-011) on Red Blood Cell Mass and Plasma Volume in Participants With Solid Tumors
ClinicalTrials.gov study NCT01190644. IPD Sharing: YES. Countries: 1. Publications: 1.
Assessment of the Pharmacodynamic Effect on Plasma Folate and Red Blood Cell Folate and Comparison of the Folate Metabolites During the 24 Weeks of Treatment (Yasmin + Metafolin Versus Yasmin + Folic
ClinicalTrials.gov study NCT01258660. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Blood Loss Reduction After Total Knee Arthroplasty. Comparison Topical Tranexamic Acid vs Platelet Rich Plasma
ClinicalTrials.gov study NCT02650856. IPD Sharing: Not stated. Countries: 1. Publications: 16.
Data from: Pathogen reduction of monkeypox virus in plasma and whole blood using riboflavin and UV light
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Methods for precipitating plasma proteins for stable isotope analysis of elasmobranch blood
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Beta-hydroxybutyrate ketone concentrations via ketometer and colorimetric assay in Steller sea lion whole blood and plasma
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Five Points Small Mammal Blood Plasma Isotopic Values for Carbon, Nitrogen and Hydrogen
There has been little comprehensive research undertaken to quantify resource use by small mammal communities in a nutrient limited, highly stochastic ecosystem. The most abundant small mammals in this ecosystem are Heteromyids, food-caching granivores, and Cricetids, omnivores that must utilize on board fat stores as energy reserves. Heteromyid populations co-vary with primary production whereas the cricetids can forage at multiple trophic levels reducing their dependence on primary productivity. Using isotopic values for Carbon, delta13C (a ratio of 13C to 12C), of primary producers consistent within a photosynthetic pathway, C3 = -26.6 +/- 1.8Permille and C4, = -14.4 +/- 0.8Permille we can track mouse dietary assimilation of forage by plant functional type. Nitrogen isotopic values 15N (a ratio of 15N to 14N) fluctuate constantly, reflecting the landscape of primary production. Therefore, tracking nitrogen values in small mammal plasma provides a landscape level tool for studying diet by trophic level and nutritional value.
Endogenous plasma resuspension of peripheral blood mononuclear cells prevents preparative-associated stress that modifies polyA-enriched RNA responses to subsequent acute stressors
<p>This dataset is for a 2024 manuscript by Dongyang Li<sup>1,2</sup>, Karina Al-Dahleh<sup>1</sup>, Daniel A. Murphy<sup>3</sup>, Sonya Georgieva<sup>1</sup><em>,</em> Nik Matthews<sup>4</sup>, and Claire L. Shovlin<sup>1,2,5*</sup><strong> </strong>from the <sup>1</sup>National Heart and Lung Institute, Imperial College London, UK; <sup>2 </sup>National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, London, W2 1NY UK; <sup>3</sup>Pharmacy, Imperial College Healthcare NHS Trust; London, W12 OHS, UK ; <sup>4</sup> NIHR Genomic Facility, Faculty of Medicine, Imperial College London; <sup>5</sup> Specialist Medicine, Imperial College Healthcare NHS Trust; London, W12 OHS, UK. </p>
i-Tasser 3D Strucutres of Blood Plasma Proteins for United Atom Multiscale Modelling Of Bio-Nano Interactions
<p>3D Structures of blood plasma proteins as per proteomic data on protein corona for AgNPs presented in this publication:</p> <blockquote> <p>Gorshkov V, Bubis JA, Solovyeva EM, Gorshkov M, KjeldsenF. Protein corona formed on silver nanoparticles in blood plasma is highly selective and resistant to physicochemical changes of the solution. Environ. Sci.: Nano, 2019,6, 1089-1098. doi: 10.1039/C8EN01054D</p> </blockquote> <p>Note, that the dataset is different from the one used in this publication:</p> <blockquote> <p>Alsharif SA, Power D, Rouse I, Lobaskin V. In Silico Prediction of Protein Adsorption Energy on Titanium Dioxide and Gold Nanoparticles. Nanomaterials (Basel). 2020 Oct 4;10(10):1967. doi: 10.3390/nano10101967.</p> </blockquote> <p>Files were prepared with I-TASSER utility:</p> <blockquote> <p>J Yang, R Yan, A Roy, D Xu, J Poisson, Y Zhang. The I-TASSER Suite: Protein structure and function prediction. Nature Methods, 12: 7-8 (2015).</p> </blockquote> <p> </p>
Non-linear genetic regulation of the blood plasma proteome - GWAS Summary Statistics
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Data for: Diagnostic potential of blood plasma longitudinal viscosity measured using Brillouin light scattering
<p>Data for "Diagnostic potential of blood plasma longitudinal viscosity measured using Brillouin light scattering"</p>
Intraoperative Nasal Insulin Effect on Plasma and CSF Insulin Concentration and Blood Glucose
ClinicalTrials.gov study NCT02729064. IPD Sharing: NO. Countries: 1. Publications: 2.
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