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).
Glucose
It is essential for a wide range of physiological processes, including cellular respiration, glucose metabolism, and the regulation of blood sugar levels.
Understanding the role of glucose in health and disease is crucial for advancing research in areas such as diabetes, obesity, and cardiovascular health.
PubCompare.ai's AI-driven platform can optimize your glucose research protocols and enhance reproducibility by effortlessly locating the best protocols from literature, pre-prints, and patents using advanced comparison tools.
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Most cited protocols related to «Glucose»
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).
Most recents protocols related to «Glucose»
Example 1
Cell-free fractions were prepared as previously described (25). Briefly, Lactobacillus acidophilus strain La-5 was grown overnight in modified DeMann, Rogosa and Sharpe medium. (mMRS; 10 g peptone from casein, 8 g meat extract, 4 g yeast extract, 8 g D(+)-glucose, 2 g dipotassium hydrogen phosphate, 2 g di-ammonium hydrogen citrate, 5 g sodium acetate, 0.2 g magnesium sulfate, 0.04 g manganese sulfate in 1 L distilled water) (MRS; BD Diagnostic Systems, Sparks, MD). The overnight culture was diluted 1:100 in fresh medium. When the culture grew to an optical density at 600 nm (OD600) of 1.6 (1.2×108 cells/ml), the cells were harvested by centrifugation at 6,000×g for 10 min at 4° C. The supernatant was sterilized by filtering through a 0.2-μm-pore-size filter (Millipore, Bioscience Division, Mississauga, ON, Canada) and will be referred to as cell-free spent medium (CFSM). Two litres of L. acidophilus La-5 CFSM was collected and freeze-dried (Unitop 600 SL, VirTis Co., Inc. Gardiner, NY., USA). The freeze-dried CFSM was reconstituted with 200 ml of 18-Ω water. The total protein content of the reconstituted CFSM was quantified using the BioRad DC protein assay kit II (Bio-Rad Laboratories Ltd., Mississauga, ON, Canada). Freeze-dried CFSM was stored at −20° C. prior to the assays.
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 64
A 1:100 back-dilution from overnight culture of SYN-PKU-2002 was grown to early log phase for 1.5 h before moving to the anaerobic chamber for 4 hours in the presence of 1 mM IPTG and 0.1% arabinose for induction as described herein. To perform activity assay, 1e8 cells were resuspended and incubated in assay buffer (M9 media with 0.5% glucose, 50 mM Phe, and 50 mM MOPS with 50 mM phenylalanine). Supernatant samples were taken over time and TCA (the product of PAL) was measured by absorbance at 290 nm to determine the rate of TCA production/PAL activity. Phenylpyruvate was measured using LCMS methods described herein. Results are shown in FIG. 16A and FIG. 16B.
Example 6
Strain 5 was subjected to another round of mutagenesis with increasing concentrations and exposure time to 4-NQO (37 μM for 30 minutes at 28° C.). This population of cells was subsequently subdivided and grown in standard lipid production medium supplemented with a range of cerulenin concentrations (7-50 μM). Cells from all concentrations were pooled and fractionated over a 60% Percoll/0.15 M NaCl density gradient. Oil laden cells recovered from a density zone of 1.02 g/mL were plated and assessed for glucose consumption and fatty acid profile. One of these clones was subsequently stabilized and given the strain designation “Strain 6”.
Example 2
With reference to
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More about "Glucose"
Understanding the role of glucose in health and disease is essential for advancements in areas such as diabetes, obesity, and cardiovascular health.
Glucose, also known as dextrose or D-glucose, is a simple sugar that is absorbed into the bloodstream and utilized by cells throughout the body.
It is a key component of Fetal Bovine Serum (FBS), a commonly used cell culture supplement, as well as High-glucose Dulbecco's Modified Eagle Medium (DMEM), a widely used cell culture medium.
In addition to its role in energy production, glucose is involved in various physiological processes, including the regulation of insulin secretion and the maintenance of blood sugar homeostasis.
Imbalances in glucose metabolism can lead to conditions such as diabetes, which is characterized by high blood glucose levels.
Optimizing glucose research protocols is crucial for enhancing reproducibility and advancing scientific understanding.
PubCompare.ai's AI-driven platform can help researchers effortlessly locate the best glucose research protocols from literature, pre-prints, and patents using advanced comparison tools.
By leveraging the power of artificial intelligence, researchers can identify the most effective glucose research methods and products, ultimately improving their scientific outcomes.
Whether you're studying glucose metabolism, exploring the link between glucose and health conditions, or developing new glucose-related therapies, PubCompare.ai's tools can streamline your research process and enhance the quality of your work.
Discover how you can optimize your glucose research with the help of this innovative platform.