Plasma
It plays a crucial role in the body's homeostasis, serving as a transport medium for nutrients, hormoes, and waste products.
Plasma research is vital for understanding the complex physiological processes underlying human health and disease.
PubCompare.ai is an AI-driven platform that helps researchers optimize their plasma research by providing access to the best protocols from literature, pre-prints, and patents, as well as offering advanced search and comparison tools.
Its AI-driven analysis can help identify the most reproducible and effective protocols and prodcuts for your plasma research needs, streamlining your workflow and helping you get the most out of your research.
Most cited protocols related to «Plasma»
In each scenario, coverage, power and average causal effect estimates, standard errors, and statistics (which quantify the magnitude of violation of the NOME assumption in IVW and MR-Egger regression estimates, respectively7 (link),13 (link)) were obtained across 10 000 simulated datasets. Power was defined as the proportion of times that 95% confidence intervals excluded zero, and coverage as the proportion of times that 95% confidence intervals included the true causal effect.
MR methods were also applied to estimate the causal effect of plasma lipid fractions and urate levels on CHD risk. The magnitude of regression dilution bias in IVW and MR-Egger regression was assessed by the and statistics, respectively. Cochran’s Q test was used to test for the presence of horizontal pleiotropy (under the assumption that this is the only source of heterogeneity between s other than chance).20 (link) All simulations and analyses were performed using R 3.3.1 [
We also examined T2D association summary statistics at lead SNPs for 37 established T1D susceptibility loci. For each of these SNPs, we reported the allelic OR (aligned to the T2D risk-allele) and P-values in: (i) our Stage 1 T2D meta-analysis; and (ii) a GWAS meta-analysis of 7,514 T1D cases and 9,045 population controls from European descent populations from the Type 1 Diabetes Genetics Consortium35 (link).
White and colleagues19 (link) performed a similar analysis, but with plasma urate levels rather than lipid fractions. 31 variants associated with urate levels (P < 5 × 10−7) were used as genetic instruments, and the required summary statistics were obtained from the GWAS catalogue [
Most recents protocols related to «Plasma»
Example 66
The activity of SYN-PKU-2002 was assessed in vivo. To prepare the cells for the study, SYN-PKU901 and SYN-PKU-2002 overnight cultures were each used to inoculate 4 2 L flasks containing 500 mL of LB with DAP100 ug/mL. These cultures were grown for 1 hr and 45 min and then moved to the anaerobic chamber supplying 90% N2, 5% CO2, and 5% H2 for 4 hours. Cells were then spun down at 4600×G for 12 min and resuspended in 10 mL of formulation buffer (Glycerol: 15% (v/v), Sucrose: 10% (w/v) (100 g/L), MOPS: 10 mM (2.1 g/L), NaCl: 25 mM (1.46 g/L)). Several 40 ul aliquots were removed to be used for cell counting and activity determination. The viability as determined by cellometer count (in quadruplicate) 6.94e10 cfu/ml (+/−5.78e9).
Activity was determined using a plate based assay. Briefly, 1×108 cfu as determined by cellometer were added to 1 ml of prewarmed assay buffer (1× M9 minimal media containing 0.5% glucose, 50 mM MOPS, and 50 mM phenylalanine) in a microfuge tube, vortexed briefly, and immediately placed in a heat block or water bath at 37 degrees Celsius for static incubation (t=0). Supernatant samples from cells re-suspended in assay buffer were analyzed for the abundance of TCA over several time points using spectrophotometer at an absorbance of 290 nm. The accurate OD290 window for TCA detection occurs in a relatively narrow concentration range. For this reason, supernatant samples were diluted to ensure that the absorbance measurement fell into the linear range for detection. Measurements were compared to a TCA standard curve. Activity was determined to be 2.72 umol/hr/le9 cfu (+/−0.15 umol/hr/le9 cfu).
Beginning 4 days prior to the study (i.e., Days −4-1), Pah ENU2/2 mice (˜11-15 weeks of age) were maintained on phenylalanine-free chow and water that was supplemented with 0.5 grams/L phenylalanine. On the day of the study, mice were randomized into treatment groups according to weight as follows: Group 1: SYN-PKU901 (n=9); Group 2: Group 2: SYN-PKU-2002 (n=9). Blood samples were collected by sub-mandibular skin puncture to determine baseline phenylalanine levels. Mice were then administered single dose of phenylalanine by subcutaneous injection at 0.1 mg per gram body weight, according to the average group weight. At 1, 2 and 3 h post Phe challenge, the bacteria (or water) were administered to mice by oral gavage (3×250 ul). Whole blood was collected via submandibular bleed at each time point. Urine collection in metabolic caging commenced immediately after the 1st bacterial dose and continued to be collected for the duration of the study (4 hours).
Blood samples were kept on ice until processing for plasma in a centrifuge (2000 g for 10 min at 4 C) within 20 min of collection. Plasma was then transferred into a 96-well plate for MS analysis. Urine was collected in 5 mL tubes and volumes were recorded before transferring samples to MS for analysis. Results are shown in
Example 8
Characterization of Absorption, Distribution, Metabolism, and Excretion of Oral [14C]Vorasidenib with Concomitant Intravenous Microdose Administration of [13C315N3]Vorasidenib in Humans
Metabolite profiling and identification of vorasidenib (AG-881) was performed in plasma, urine, and fecal samples collected from five healthy subjects after a single 50-mg (100 μCi) oral dose of [14C]AG-881 and concomitant intravenous microdose of [13C3 15N3]AG-881.
Plasma samples collected at selected time points from 0 through 336 hour postdose were pooled across subjects to generate 0—to 72 and 96-336-hour area under the concentration-time curve (AUC)-representative samples. Urine and feces samples were pooled by subject to generate individual urine and fecal pools. Plasma, urine, and feces samples were extracted, as appropriate, the extracts were profiled using high performance liquid chromatography (HPLC), and metabolites were identified by liquid chromatography-mass spectrometry (LC-MS and/or LC-MS/MS) analysis and by comparison of retention time with reference standards, when available.
Due to low radioactivity in samples, plasma metabolite profiling was performed by using accelerator mass spectrometry (AMS). In plasma, AG-881 was accounted for 66.24 and 29.47% of the total radioactivity in the pooled AUC0-72 h and AUC96-336 h plasma, respectively. The most abundant radioactive peak (P7; M458) represented 0.10 and 43.92% of total radioactivity for pooled AUC0-72 and AUC96-336 h plasma, respectively. All other radioactive peaks accounted for less than 6% of the total plasma radioactivity and were not identified.
The majority of the radioactivity recovered in feces was associated with unchanged AG-881 (55.5% of the dose), while no AG-881 was detected in urine. In comparison, metabolites in excreta accounted for approximately 18% of dose in feces and for approximately 4% of dose in urine. M515, M460-1, M499, M516/M460-2, and M472/M476 were the most abundant metabolites in feces, and each accounted for approximately 2 to 5% of the radioactive dose, while M266 was the most abundant metabolite identified in urine and accounted for a mean of 2.54% of the dose. The remaining radioactive components in urine and feces each accounted for <1% of the dose.
Overall, the data presented indicate [14C]AG-881 underwent moderate metabolism after a single oral dose of 50-mg (100 μCi) and was eliminated in humans via a combination of metabolism and excretion of unchanged parent. AG-881 metabolism involved the oxidation and conjugation with glutathione (GSH) by displacement of the chlorine at the chloropyridine moiety. Subsequent biotransformation of GSH intermediates resulted in elimination of both glutamic acid and glycine to form the cysteinyl conjugates (M515 and M499). The cysteinyl conjugates were further converted by a series of biotransformation reactions such as oxidation, S-dealkylation, S-methylation, S-oxidation, S-acetylation and N-dealkylation resulting in the formation multiple metabolites.
A summary of the metabolites observed is included in Table 2
Example 1
95 g of manganese (purity: 99.95%; purchased from Taewon Scientific Co., Ltd.) and 5 g of high-purity graphite (purity: 99.5%; purchased from Taewon Scientific Co., Ltd.) were placed in a water-cooled copper crucible of an argon plasma arc melting apparatus (manufactured by Labold AG, Germany, Model: vacuum arc melting furnace Model LK6/45), and melted at 2,000 K under an argon atmosphere. The melt was cooled to room temperature at a cooling rate of 104 K/min to obtain an alloy ingot. The alloy ingot was crushed to a particle size of 1 mm or less by hand grinding. Thereafter, the obtained powders were magnetically separated using a Nd-based magnet to remove impurities repeatedly, and the Mn4C magnetic powders were collected. The collected Mn4C magnetic powders were subjected to X-ray diffraction (XRD) analysis (measurement system: D/MAX-2500 V/PO, Rigaku; measurement condition: Cu—Kα ray) and energy-dispersive X-ray spectroscopy (EDS) using FE-SEM (Field Emission Scanning Electron Microscope, MIRA3 LM).
As can be seen in
The M-T curve of the field aligned Mn4C powder obtained in Example 1 was measured under an applied field of 4 T and at a temperature ranging from 50 K to 400 K. Meanwhile, the M-T curve of the randomly oriented Mn4C powder was measured under an applied field of 1 T. The Curie temperature of Mn4C was measured under 10 mT while decreasing temperature from 930 K at a rate of 20 K/min.
According to the Néel theory, the ferrimagnets that contain nonequivalent substructures of magnetic ions may have a number of unusual forms of M-T curves below the Curie temperature, depending on the distribution of magnetic ions between the substructures and on the relative value of the molecular field coefficients. The anomalous M-T curves of Mn4C, as shown in
According to one embodiment of the present disclosure, the saturation magnetization of Mn4C increases linearly with increasing temperature within the range of 50 K to 590 K and remains stable at temperatures below 50 K. The increases in anomalous magnetization of Mn4C with increasing temperature can be considered in terms of the Néel's P-type ferrimagnetism. At temperatures above 590 K, the Mn4C decomposes into Mn23C6 and Mn, which are partially oxidized into the manganosite when exposed to air. The remanent magnetization of Mn4C varies little with temperature. The Curie temperature of Mn4C is about 870 K. The positive temperature coefficient (about 0.0072 Am2/kgK) of magnetization in Mn4C is potentially important in controlling the thermodynamics of magnetization in magnetic materials.
The Curie temperature Te of Mn4C is measured to be about 870 K, as shown in
As shown in
The magnetic properties of Mn4C measured are different from the previous theoretical results. A corner MnI moment of 3.85μB antiparallel to three face-centered MnII moments of 1.23μB in Mn4C was expected at 77 K. The net moment per unit cell was estimated to be 0.16μB. In the above experiment, the net moment in pure Mn4C at 77 K is 0.26μB/unit cell, which is much larger than that expected by Takei et al. It was reported that the total magnetic moment of Mn4C was calculated to be about 1μB, which is almost four times larger than the 0.258μB per unit cell measured at 4.2 K, as shown in
The thermomagnetic behaviors of Mn4C are related to the variation in the lattice parameters of Mn4C with temperature. It is known that the distance of near-neighbor manganese atoms plays an important role in the antiferro- or ferro-magnetic configurations of Mn atoms. Ferromagnetic coupling of Mn atoms is possible only when the Mn—Mn distance is large enough.
Thus, it can be seen that the abnormal increase in magnetization of Mn4C with increasing temperature occurs due to the variation in the lattice parameters of Mn4C with temperature.
The powder produced in Example 1 was annealed in vacuum for 1 hour at each of 700 K and 923 K, and then subjected to X-ray spectroscopy, and the results thereof are shown in
The magnetization reduction of Mn4C at temperatures above 590 K is ascribed to the decomposition of Mn4C, which is proved by the XRD patterns of the powders after annealing Mn4C at elevated temperatures.
These results prove that the metastable Mn4C decomposes into stable Mn23C6 at temperatures above 590 K. The presence of Mn4C in the powder annealed at 923 K indicates a limited decomposition rate of Mn4C, from which the Tc of Mn4C can be measured. Both Mn23C6 and Mn are weak paramagnets at ambient temperature and elevated temperatures. Therefore, the magnetic transition of the Mn4C magnetic material at 870 K is ascribed to the Curie point of the ferrimagnetic Mn4C.
The Mn4C shows a constant magnetization of 0.258μB per unit cell below 50 K and a linear increment of magnetization with increasing temperature within the range of 50 K to 590 K, above which Mn23C6 precipitates from Mn4C. The anomalous M-T curves of Mn4C can be considered in terms of the Néel's P-type ferrimagnetism.
Example 2
Twenty-eight (28) healthy, adult male and female (non-childbearing potential) subjects were enrolled in the study in total; 14 subjects in each study part (Parts 1 and 2). A minimum of 8 female subjects were enrolled in the study (i.e., a minimum of 4 female subjects per study part). Each subject participated in either Part 1 or Part 2, but not both.
Part 1
On Day 1 of Treatment Period 1, a single oral dose of 20 mg mitapivat sulfate was administered. Serial blood samples for plasma assay of mitapivat concentrations and its CYP3A4 metabolite, referred to herein as the “Metabolite” (structure below),
In Treatment Period 1, mitapivat sulfate was administered orally with approximately 240 mL of water. In Treatment Period 2, on Days 1 to 4, itraconazole was administered alone immediately followed by approximately 220 mL of water, and on Day 5, itraconazole was administered first (no water) and was immediately followed by mitapivat sulfate administration with approximately 220 mL of water. Study drugs (mitapivat sulfate and itraconazole) were administered following an overnight fast of at least 10 hours on Day 1 of Treatment Period 1 (mitapivat sulfate only) and Day 5 of Treatment Period 2 (mitapivat sulfate and itraconazole), and subjects remained fasted for 4 hours after dosing. On all other dosing days, itraconazole was administered following a predose fast of at least 4 hours and subjects remained fasted for at least 2 hours after dosing.
Part 2
On Day 1 of Treatment Period 1, a single oral dose of 50 mg mitapivat sulfate was administered. Serial blood samples for plasma assay of mitapivat and the Metabolite concentrations were collected from predose to 120 hours following administration of mitapivat sulfate. In Treatment Period 2, an oral dose of 600 mg rifampin was administered QD for 12 consecutive days (Day 1 through Day 12 of Treatment Period 2) with a single oral dose of 50 mg mitapivat sulfate coadministered on Day 8. Serial blood samples for plasma assay of mitapivat sulfate and the Metabolite concentrations were collected from predose to 120 hours following coadministration of mitapivat and rifampin on Day 8.
In Part 2, study drugs were administered with approximately 240 mL of water on all dosing days including the coadministration of mitapivat sulfate and rifampin on Day 8 of Treatment Period 2. Mitapivat sulfate and rifampin was administered following an overnight fast of at least 10 hours on Day 1 of Treatment Period 1 (mitapivat sulfate only) and Day 8 of Treatment Period 2 (both mitapivat sulfate and rifampin) and subjects remained fasted for 4 hours after dosing. On all other dosing days, rifampin was administered following a predose fast of at least 4 hours and subjects remained fasted for at least 2 hours after dosing. There was a washout period of 7 days between the mitapivat sulfate dose in Treatment Period 1 and the first itraconazole (Part 1) or rifampin (Part 2) dose in Treatment Period 2. All study drugs were consumed within 5 minutes for both Part 1 and Part 2.
Example 24
For groups 1-12, see study design in
For groups 13-18 see study design in
Antibody siRNA Conjugate Synthesis Using Bis-Maleimide (BisMal) Linker
Step 1: Antibody Reduction with TCEP
Antibody was buffer exchanged with 25 mM borate buffer (pH 8) with 1 mM DTPA and made up to 10 mg/ml concentration. To this solution, 4 equivalents of TCEP in the same borate buffer were added and incubated for 2 hours at 37° C. The resultant reaction mixture was combined with a solution of BisMal-siRNA (1.25 equivalents) in pH 6.0 10 mM acetate buffer at RT and kept at 4° C. overnight. Analysis of the reaction mixture by analytical SAX column chromatography showed antibody siRNA conjugate along with unreacted antibody and siRNA. The reaction mixture was treated with 10 EQ of N-ethylmaleimide (in DMSO at 10 mg/mL) to cap any remaining free cysteine residues.
Step 2: Purification
The crude reaction mixture was purified by AKTA Pure FPLC using anion exchange chromatography (SAX) method-1. Fractions containing DAR1 and DAR2 antibody-siRNA conjugates were isolated, concentrated and buffer exchanged with pH 7.4 PBS.
Anion Exchange Chromatography Method (SAX)-1.
Column: Tosoh Bioscience, TSKGel SuperQ-5PW, 21.5 mm ID×15 cm, 13 um
Solvent A: 20 mM TRIS buffer, pH 8.0; Solvent B: 20 mM TRIS, 1.5 M NaCl, pH 8.0; Flow Rate: 6.0 ml/min
Gradient:
Anion Exchange Chromatography (SAX) Method-2
Column: Thermo Scientific, ProPac™ SAX-10, Bio LC™, 4×250 mm
Solvent A: 80% 10 mM TRIS pH 8, 20% ethanol; Solvent B: 80% 10 mM TRIS pH 8, 20% ethanol, 1.5 M NaCl; Flow Rate: 0.75 ml/min
Gradient:
Step-3: Analysis of the Purified Conjugate
The purity of the conjugate was assessed by analytical HPLC using anion exchange chromatography method-2 (Table 22).
In Vivo Study Design
The conjugates were assessed for their ability to mediate mRNA downregulation of Atrogin-1 in muscle (gastroc) in the presence and absence of muscle atrophy, in an in vivo experiment (C57BL6 mice). Mice were dosed via intravenous (iv) injection with PBS vehicle control and the indicated ASCs and doses, see
Quantitation of tissue siRNA concentrations was determined using a stem-loop qPCR assay as described in the methods section. The antisense strand of the siRNA was reverse transcribed using a TaqMan MicroRNA reverse transcription kit using a sequence-specific stem-loop RT primer. The cDNA from the RT step was then utilized for real-time PCR and Ct values were transformed into plasma or tissue concentrations using the linear equations derived from the standard curves.
Results
The data are summarized in
Conclusions
In this example, it was demonstrated that a TfR1-Atrogin-1 conjugates, after in vivo delivery, mediated specific down regulation of the target gene in gastroc muscle in a dose dependent manner. After induction of atrophy the conjugate was able to mediate disease induce mRNA expression levels of Atrogin-1 at the higher doses. Higher RISC loading of the Atrogin-1 guide strand correlated with increased mRNA downregulation.
Top products related to «Plasma»
More about "Plasma"
It serves as a transport medium for vital elements like nutrients, hormones, and waste products.
Plasma research is essential for understanding the complex physiological processes underlying human health and disease.
Researchers can optimize their plasma studies using PubCompare.ai, an AI-driven platform that provides access to the best protocols from literature, preprints, and patents.
This platform offers advanced search and comparison tools, as well as AI-driven analysis to help identify the most reproducible and effective protocols and products for your plasma research needs.
Plasma research often involves techniques like the MiRNeasy Serum/Plasma Kit, QIAamp Circulating Nucleic Acid Kit, and BD Vacutainer for sample collection and processing.
ELISA kits and ELISA assays are commonly used to measure plasma-based biomarkers.
Researchers may also use TRIzol reagent, Sylgard 184, and Vacutainer tubes in their plasma-related experiments.
The QIAamp Viral RNA Mini Kit is another useful tool for extracting viral RNA from plasma samples.
Prism 6 is a software suite that can be used for statistical analysis and visualization of plasma research data.
By leveraging the insights and tools available, researchers can streamline their plasma studies, optimize their workflows, and gain valuable insights into the complex physiological processes that underlie human health and disease.