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Blood Plasma Volume

Blood plasma volume refers to the total volume of plasma, the fluid portion of blood.
Maintaining proper blood plasma volume is crucial for cardiovascular function, fluid balance, and overall health.
Researchers can optimize their blood plasma volume studies using the PubCompare.ai platform, which leverages AI to identify the best protocols from literature, preprints, and patents.
This tool helps researchers enhance the quality and efficiency of their research by discovering the optimal products and procedures.
With the power of PubCompare.ai, researchers can take their blood plasma volume studies to new heights and achieve more reproducible and accurate results.
Discover the capabilites of this leading AI platform today and elevate your blood plasma volume research.

Most cited protocols related to «Blood Plasma Volume»

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Publication 2010
2',5'-oligoadenylate Blood Plasma Volume Caenorhabditis elegans Homo sapiens inhibitors isolation Lipids MicroRNAs Plasma Proteins Serum Spectrophotometry Staphylococcal Protein A Technique, Dilution trizol
DNA level in diluted samples was measured by SYBR Green dye-based qPCR assay using a PRISM 7300 sequence detection system (Applied Biosystems). The primer sequences were as follows: human NADH dehydrogenase 1 gene (mtDNA): forward 5′-ATACCCATGGCCAACCTCCT-3′, reverse 5′-GGGCCTTTGCGTAGTTGTAT-3′[7] (link),[24] (link); human β-globin (nuclear DNA): forward 5′-GTGCACCTGACTCCTGAGGAGA-3′, reverse 5′-CCTTGATACCAACCTGCCCAG-3′[25] (link); bacterial 16S ribosomal RNA: forward 5′- CGTCAGCTCGTGTTGTGAAA-3′, reverse 5′-GGCAGTCTCCTTGAGTTCC-3′[7] (link). Plasmid DNA with complementary DNA sequences for human mtDNA was obtained from ORIGENE (SC101172), and plasmid DNA with complementary DNA sequences for human nuclear DNA was obtained from Sino Biological. Concentrations were converted to copy number using the formula; mol/gram×molecules/mol = molecules/gram, via a DNA copy number calculator (http://cels.uri.edu/gsc/cndna.html; University of Rhode Island Genomics and Sequencing Center) [26] (link),[27] (link). DNA solutions were diluted in 10-fold serial dilutions and used as standards.
The thermal profile for detecting mtDNA was carried out as follows: an initiation step for 2 min at 50°C is followed by a first denaturation step for 10 min at 95°C and a further step consisting of 40 cycles for 15 s at 95°C and for 1 min at 60°C. A representative standard curve, dissociation curve, and amplification plot are shown in Figure 1.
All samples were analyzed in duplicate, and a no-template control was included in every analysis. mtDNA levels in all of the plasma analyses were expressed in copies per microliter of plasma based on the following calculation [28] (link): where c is the concentration of DNA in plasma (copies/microliter plasma); Q is the quantity (copies) of DNA determined by the sequence detector in a PCR; VDNA is the total volume of plasma DNA solution obtained after extraction, typically 200 µl per extraction; VPCR is the volume of plasma DNA solution used for PCR, typically 5 µl of ten times diluted plasma DNA solution; and Vext is the volume of plasma extracted, typically 50–100 µl.
The specificity of mtDNA primers was examined using bacterial DNA (Text S2 in Supporting Information S1; Figure S1) and by BLAST search (Text S3 and Tables S1 and S2 in Supporting Information S1).
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Publication 2013
Bacteria beta-Globins Biological Assay Biopharmaceuticals Blood Plasma Volume DNA, A-Form DNA, Bacterial DNA, Complementary DNA, Mitochondrial Genes Homo sapiens isononanoyl oxybenzene sulfonate NADH Dehydrogenase Complex 1 Oligonucleotide Primers Plasma Plasmids prisma RNA, Ribosomal, 16S SYBR Green I Technique, Dilution
Human whole blood was collected and supplied by the Volunteer Blood Donor Registry (Clinical Translation Centre, Walter & Eliza Hall Institute of Medical Research, Parkville, Australia) and used on the day of collection. The haematocrit (Hct) was determined by centrifugation (13,000×g for 3 min using Clemets® Microhaematocrit centrifuge and Safecap® Plain Self-sealing Mylar wrapped capillary tubes) to ensure it was between 0.40 and 0.48. An aliquot was centrifuged (Heraeus, Multifuge 3 S-R; 4500×g) for 10 min to obtain plasma required for matrix matching purposes as described below.
Aliquots of whole blood were spiked with compound stock solutions (prepared in 20/40/40 (v/v) DMSO/acetonitrile/water) to give a final nominal concentration of 1000 ng/mL with final DMSO and acetonitrile concentrations of 0.2% (v/v) and 0.4% (v/v), respectively. Two aliquots of the spiked whole blood were transferred to fresh microcentrifuge tubes and maintained at 37 °C/5% CO2 in a humidified incubator. The pH was confirmed to be 7.4 ± 0.1 at the start and end of the incubation. At each time point (30 min and 4 h), one whole blood tube was removed from the incubator and mixed by gentle inversion, after which four replicate blood samples were taken and matrix matched with an equal volume of blank plasma. The remainder of the blood sample was centrifuged (Eppendorf, Mini Spin plus; 6700×g) for 2 min for the collection of 4 replicate plasma samples which were similarly matrix matched with an equal volume of blank whole blood. The 1:1 mixtures of blood/plasma were mixed, snap frozen in dry ice and stored at − 80 °C until analysis by LC–MS (Additional file 1: Table S2) against calibration standards prepared in the same mixed matrix. Any further distribution of compound into RBCs at this stage was irrelevant as the cells were lysed during the sample preparation and the total concentration in the mixed matrix was measured for both the calibration standards and samples.
Compound stability in whole blood was assessed by comparing the compound concentrations measured at 30 and 240 min. The apparent whole blood-to-plasma partitioning ratio (B/P) was calculated as the ratio of the average concentration in the blood sample to that in the plasma fraction of the same whole blood sample. A standard deviation (SD) for each B/P value was calculated using the propagation of errors approach as described previously [38 (link)].
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Publication 2020
acetonitrile BLOOD Blood Plasma Volume Blood Volume Capillaries Cells Centrifugation DNA Replication Dry Ice Erythrocytes Freezing Homo sapiens Inversion, Chromosome mylar Phocidae Plasma Specimen Collection Sulfoxide, Dimethyl Tissue Donors Voluntary Workers
Using interviews and questionnaires administered during early pregnancy, midpregnancy and at delivery, study staff obtained data on the mothers' sociodemographic, behavioral, and health history measures. Risk factors for this analysis included sociodemographic factors (maternal age at enrollment, marital status, race/ethnicity, and smoking status and parental educational attainment and household income) and perinatal factors (parity and prepregnancy body mass index (BMI)).
Data on history of breastfeeding prior to the current pregnancy were not collected in Project Viva. We created a binary variable to estimate breastfeeding history using information on parity and breastfeeding data for the child of the current pregnancy (which was collected following the birth). If the mother was parous (regardless of the number of previous births), and breastfed the child of the current pregnancy, history of breastfeeding was coded as “yes”, with the assumption that a mother who breastfed this child had a high likelihood of having breastfed an older child. If the mother was nulliparous or did not breastfeed the current child history of breastfeed was coded “no”.
To capture markers of pregnancy physiology, we measured plasma albumin and creatinine in the same samples used to measure PFASs. Albumin is the main binding site for PFASs as well as a marker of plasma volume expansion during pregnancy.27 (link) GFR is a measure of the flow rate of filtered fluid through the kidney.24 (link) We calculated GFR (mL/min per 1.73 m2) by plugging plasma creatinine into the Cockroft-Gault (GFR-CG) formula [GFR-CG = (140-age) × weight (kg) × 1.04/serum creatinine (μmol/L)].
Publication 2015
Albumins Binding Sites Blood Plasma Volume Child Childbirth Creatinine Ethnicity Households Index, Body Mass Kidney Mothers Obstetric Delivery Parent physiology Plasma Plasma Albumin Pregnancy Serum Strains
We measured Ve as outlined by Jerosch-Herold et al. [13 (link)] Specifically,
Ve=[λρ(1-hematocrit)]-Vp
where Ve is the myocardial extravascular extracellular volume fraction, ρ is the specific density of myocardial tissue (1.05), Vp is the myocardial plasma volume fraction (assumed to be a constant 0.045 [13 (link),27 (link)-29 (link)], reflecting capillary density), and λ=[ΔR1myocardium]/[ΔR1bloodpool] pre and post Gd contrast (where R1 = 1/T1) [30 (link),31 (link)]. Hematocrit was measured from blood samples drawn at the time of each CMR session. We carefully localized one mid ventricular short axis slice per subject for T1 measurement to match slice position across different scans. Blood pool regions of interest were intentionally large to average any inhomogeneity related to diastolic blood flow. Images were analyzed with Siemens multimodality workstations. When drawing circumferential regions of interest in the myocardium with computer assisted planimetry, care was taken to avoid the very edges of myocardium to avoid contaminating the measurement with partial volume averaging from voxels straddling the myocardial-blood pool border [12 (link)].
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Publication 2011
BLOOD Blood Circulation Blood Plasma Volume Capillaries Diastole Epistropheus Heart Ventricle Multimodal Imaging Myocardium Radionuclide Imaging Volumes, Packed Erythrocyte

Most recents protocols related to «Blood Plasma Volume»

Viral RNA was measured by quantitative reverse transcription-PCR (qPCR) or digital droplet PCR (ddPCR) as described [34 (link),35 (link)]. RNA from 140 μl of plasma was isolated by QIAamp Viral RNA Minikit (Qiagen 1020953). qPCR of SIV gag RNA was by QuantiTect Virus kit (Qiagen 211011) or ddPCR using One-Step RT ddPCR Adv kit (Bio-Rad 1864022). Copy numbers were calculated with a regression curve from control transcript standards and normalization to the volume of extracted plasma. Primers/probes for SIV gag RNA were: SIV21 forward 5’-GTCTGCGTCATCTGGTGCATTC-3’; SIV22 reverse 5‘’-CACTAGGTGTCTCTGCACTATCTGTTTTG-3’; SIV23, 5’ FAM/3’-Black hole-labeled probe 5′-CTTCCTCAGTGTGTTTCACTTTCTCTTCTG-3 (Integrated DNA Technologies).
Publication 2023
Blood Plasma Volume Oligonucleotide Primers Plasma Reverse Transcriptase Polymerase Chain Reaction Reverse Transcription RNA, Viral RNA Probes Virus
To model our observed reproductive processes from Firkus et al. (2022) (link) in our lake trout DEB, we added an egg module that allows reproductive hormone dynamics to dictate the conversion of energy in the reproductive buffer into eggs. Previous laboratory studies suggest that estradiol concentration modulates the effects of sea lamprey parasitism on lake trout reproduction (Smith et al., 2016 (link); Firkus et al., 2022 (link)), so it is necessary to account for estradiol's role in our model. A similar approach to incorporating hormone dynamics into a DEB model is outlined in Murphy et al. (2018) (link) and Muller et al. (2019) (link); however, we simplified this approach so that estradiol concentration was the only required input. This approach more explicitly describes the processes involved in egg development and allowed the model to account for differences in estradiol concentration in parasitized and unparasitized individuals. In the egg module, reproductive reserve (energy available for use towards reproduction) molecules are combined with estradiol to synthesize the egg yolk protein vitellogenin. Processes that take place in the blood plasma volume or liver are taken proportional to the structural mass. The energy flux for egg mass production is triggered by estradiol density of (i.e. the ratio of mass of estradiol in plasma and the structural mass, and follows the law of mass action with the reproductive reserve density ( ). Vitellogenin production occurs in the liver and is secreted into plasma and travels to the ovaries where it is absorbed by ovarian follicles; all processes involved are proportional to the structural mass of the fish . Thus, the rate of egg mass production is given by , where the parameters describing the conversion of reserve, estradiol and vitellogenin to egg mass are absorbed in the proportionality constant . The dynamics of the egg ovarian mass, , are given in Table 1.
Data for estradiol were obtained from laboratory studies of siscowet lake trout (Firkus et al., 2022 (link)) as ng/ml of plasma. These data were linked to the model variable that accounts for the mass of estradiol (in C-mol): , where is the estradiol concentration (ng/ml of plasma), is the molecular weight of estradiol (15.1 g/C-mol) and is the total volume of plasma in a lake trout in ml given by the following equation: , where is wet weight and is the proportionality constant (averaged value of 2.86% from Gingerich et al., 1987 (link) and Gingerich and Pityer, 1989 (link)). The total wet weight has contributions from structural mass, reserve mass and ripe ( and unripe ( r reproductive mass: , where and are the molecular weights and densities of structure and reserve, respectively (Table 3).
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Publication 2023
Blood Plasma Volume Buffers Estradiol Fishes Hormones Liver Ovarian Follicle Ovary Petromyzon marinus Plasma Reproduction Trout Vitellogenins Yolk Proteins
The HemoCue system (Glucose 201+, Hb201, and WBC DIFF, HemoCue AB, Angelholm, Sweden) was used to determine blood glucose concentration, haemoglobin, total and differential leukocyte counts (including neutrophils, lymphocytes and monocytes) in duplicate from whole blood samples. The coefficient of variation (CV) for blood glucose concentration, haemoglobin and leukocyte counts was 5.1%, 1.6%, and 13.6% respectively. Haematocrit was determined by capillary method in triplicate from heparin whole blood samples using a microhematocrit reader (CV: 0.7%) (Thermo Fisher Scientific). The haemoglobin and haematocrit values were used to determine changes in plasma volume (Pv) relative to baseline, and to correct plasma variables (Dill and Costill, 1974 (link)). Bacterially-stimulated elastase release was determined as previously described (Costa et al., 2009 (link); Costa et al., 2011 (link); Costa et al., 2019a (link); Costa R. J. S. et al., 2020 (link)). The remaining whole blood in the heparin and K3EDTA vacutainers was centrifuged at 4,000 rpm (1,500 g) for 10 min within 15 min of sample collection and aspirated into 1.5 ml micro-storage tubes and frozen at −80°C until analysis. Prior to freezing, two 50 µl aliquots of heparin plasma were used to determine plasma osmolality (POsmol), in duplicate (CV: 0.7%), by freeze point osmometry (Osmomat 030, Gonotec, Berlin, Germany). Circulating concentrations of cortisol (DKO001; DiaMetra, Italy), PMN elastase (BMS269; Affymetrix EBioscience, Vienna, Austria), I-FABP (HK406; Hycult Biotech, Uden, Netherlands), sCD14 (HK320; Hycult Biotech), and LBP (HK315, Hycult Biotech) were determined by ELISA. Additionally, systemic cytokine profile [i.e., plasma IL-1β, TNF-α, IL-10, and IL-1ra concentrations] (HCYTMAG-60K, EMD Millipore, Darmstadt, Germany) were determined by multiplex system (Magpix, Luminex, Austin, TX, United States). All variables were analysed as per manufacturer’s instructions on the same day, with standards and controls on each plate, and sample from each participant assayed on the same plate. The intra- and inter-assay CV for analysed biomarkers, respectively, was 6.1% and 10.4% for cortisol, 2.8% and 3.6% for I-FABP, 4.0% and 9.3% for LBP, 3.3% and 4.2% for sCD14, 5.5% and 9.7% for elastase, 16.0% and 16.6% for IL-1β, 14.9% and 15.5% for TNFα, 15.8% and 9.1% for IL-6, 14.7% and 12.6% for IL-8, 15.9% and 11.1% for IL-10, and 9.2% and 8.8% for IL-1ra.
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Publication 2023
Anethum graveolens austin Biological Assay Biological Markers BLOOD Blood Glucose Blood Plasma Volume Capillaries Cytokine Enzyme-Linked Immunosorbent Assay FABP2 protein, human Freezing Glucose Hemoglobin Heparin Hydrocortisone IL10 protein, human Interleukin-1 beta Interleukin 1 Receptor Antagonist Protein Leukocyte Count Leukocyte Counts, Differential Leukocyte Elastase Lymphocyte Monocytes Neutrophil Osmometry Pancreatic Elastase Plasma Ribs Soluble CD14 Protein Specimen Collection Tumor Necrosis Factor-alpha Volumes, Packed Erythrocyte
Fragmentation patterns of the differential plasma metabolites between patients with a CASH event in the prior year and non-CASH patients were validated in an independent propensity matched validation cohort using a supervised LC-MS/MS approach.
Metabolites were extracted using a 1:8 dilution (i.e., one volume of plasma for eight volumes of extraction solvent composed of 100% methanol spiked with internal standards). Plasma samples were extracted at −80 °C for 1 h. Samples were centrifuged at 20,000g for 15 min at −10 °C. Two-hundred µL of the supernatant was dried down under nitrogen stream at 1 L/min (bottom)−30 L/min (top) at 30 °C using the SPE Dry 96 Dual (Biotage, Uppsala, Sweden). The samples were then resuspended in 200 µL of 1:1 water:methanol diluent, and mixed at 1000 rpm for 15 min at 4 °C using a thermomixer (Eppendorf). Samples were then centrifuged at 20,000g for 15 min at 4 °C to remove insoluble debris, and 150 µL of extracted supernatant was taken through subsequent analysis on an Agilent 1290 infinity II liquid-chromatography system coupled to an Agilent 6546 QTOF mass spectrometer, equipped with an Agilent Jet Stream Electrospray Ionization source. The detection window was set to 100–1700 m/z with continuous infusion of a reference mass (Agilent ESI TOF Biopolymer Analysis Reference Mix) for mass calibration.
Bile acids were analyzed in negative mode and 5 µL of extracted supernatant was injected onto an XBridge BEH C18 Column (Waters Corporation, Milford, MA, USA) fitted with an XBridge BEH C18 guard (Waters Corporation) at 45 °C. The mobile phase A was water with 0.1% formic acid, while the mobile phase B was acetone with 0.1% formic acid. Gradient elution started with 28% of the mobile phase B with a flow rate of 0.4 mL/min for 1 min, and linearly increased to 33% over 5 min, then to 65% over 14 min. The flow rate was then increased to 0.6 mL/min, while the mobile phase B was increased to 98% over 0.5 min. These conditions were held constant for 3.5 min. Then, re-equilibration was performed for 3 min at a flow rate of 0.4 mL/min with 28% of the mobile phase B. The electrospray ionization conditions were set with the capillary voltage at 3.5 kilovolts (kVs), nozzle voltage at 2 kVsA ten-point calibration curve of glycodeoxycholic acid was generated, starting at a concentration of 100 µg/mL diluted in 1:1 water:methanol followed by nine 1:3 serial dilutions.
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Publication 2023
Acetone ARID1A protein, human Bile Acids Biopolymers Blood Plasma Volume Capillaries formic acid Glycodeoxycholic Acid Liquid Chromatography Methanol Nitrogen Patients Plasma Solvents Tandem Mass Spectrometry Technique, Dilution Z-100
The genomic DNA was extracted according to the instructions of the QIAamp Fast DNA Tissue Kit, and the purity and quantification of the obtained DNA were assessed by absorbance using a Nanodrop spectrophotometer (Thermo Fisher). Only extracted DNA with absorbance ratios of A260/A230 > 1.8 and A260/A280 > 1.8 was used. All extracted DNA was stored at −20 °C for less than 2 months before use.
Spin column-based cfDNA extraction (QIAamp Circulating Nucleic Acid Kit, lot No.55114) was performed according to the recommended protocol. The volume of human plasma varied from 1 to 2 mL. 60 μl of elution buffer was applied in the final elution step. The purity and quantification of extracted cfDNA was tested using Nanodrop. The fragmented size was evaluated using Qsep1.
The FFPE blocks were obtained from 2012/02/07–2012/10/25 with written informed patient consent and were stored in the dark at room temperature. The study was approved by the Ethics Committee of Renji Hospital.
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Publication 2023
Blood Plasma Volume Buffers Cell-Free DNA Cell-Free Nucleic Acids Ethics Committees, Clinical Genome Homo sapiens Patients Tissues

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More about "Blood Plasma Volume"

Blood Plasma Volume, Plasma Volume, Fluid Balance, Cardiovascular Function, Biomarkers, Diagnostic Tools, Quantification, Isolation, Extraction, Purification, Circulating Nucleic Acids, Cell-Free DNA, Cell-Free RNA, Exosomes, Extracellular Vesicles, Preanalytics, Bioinformatics, Data Analysis, Optimization, Reproducibility, Accuracy, Research Efficiency, PubCompare.ai, Literature Review, Pre-Prints, Patents, AI-Driven Comparisons, Qiagen, BD, MATLAB, ELISA, Bioanalyzer Maintaining proper blood plasma volume is critical for cardiovascular health, fluid balance, and overall wellbeing.
Researchers studying blood plasma volume can leverage a variety of tools and techniques to optimize their research and achieve more reproducible, accurate results.
One key aspect of blood plasma volume research is the accurate quantification and analysis of circulating biomarkers, such as cell-free DNA, cell-free RNA, and extracellular vesicles.
Specialized kits like the QIAamp Circulating Nucleic Acid Kit, MiRNeasy Serum/Plasma Advanced Kit, and MirVana PARIS Kit can be used to isolate and purify these analytes from plasma samples.
The Qubit dsDNA HS Assay Kit and 2100 Bioanalyzer can then be employed to quantify and quality-check the extracted nucleic acids.
In addition to sample preparation, the choice of blood collection tubes, such as BD Vacutainer, can also impact the integrity and stability of the plasma samples.
Proper preanalytics, including correct handling, processing, and storage of samples, are crucial for ensuring reliable and reproducible results.
To further enhance the quality and efficiency of blood plasma volume research, researchers can utilize the PubCompare.ai platform, which leverages AI-driven comparisons to identify the best protocols from literature, preprints, and patents.
This tool helps researchers discover the optimal products, procedures, and bioinformatics approaches, enabling them to take their studies to new heights and achieve more accurate and reproducible findings.
By incorporating these insights and leveraging the power of advanced tools and techniques, researchers can optimize their blood plasma volume research and unlock new discoveries that contribute to our understanding of cardiovascular health, fluid balance, and beyond.