To a vial were added sequentially the catalyst cinchonidine thiourea (3b , 5.6 mg, 0.010 mmol, 10 mol%), isatin (6a , 14.7 mg, 0.10 mmol), malononitrile (7 , 6.6 mg, 0.10 mmol), toluene (1.0 mL) and water (0.050 mL). The mixture was stirred at 0 °C for 10 min before the addition of isopropyl acetoacetate (8d , 14.4 mg, 0.10 mmol). The reaction mixture was further stirred at 0 °C for 15 h. Upon the completion (monitored by TLC), the reaction mixture was dried over anhydrous sodium sulfate, filtered, and the solvent was evaporated. The crude reaction mixture was purified by flash column chromatography with a 40:60 hexane/EtOAc mixture as the eluent to yield to product 9f (27.8 mg, 82%) as a white solid. The enantiomeric ratio was determined by HPLC analysis on a chiral ChiralPak IB column.
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Acetoacetates
Acetoacetates
Acetoacetates are a class of organic compounds containing the acetoacetate functional group.
They play a key role in various metabolic processes, including energy production and ketone body formation.
PubCompare.ai's AI-driven comparisons can help researchers optimize their Acetoacetates studies by locating the best protocols from literature, preprints, and patents, enhancing reproducibility and accuracy.
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They play a key role in various metabolic processes, including energy production and ketone body formation.
PubCompare.ai's AI-driven comparisons can help researchers optimize their Acetoacetates studies by locating the best protocols from literature, preprints, and patents, enhancing reproducibility and accuracy.
Explore the power of PubComapre.ai today and take your Acetoacetates research to new heights.
Most cited protocols related to «Acetoacetates»
Acetoacetates
Chromatography
cinchonidine
dicyanmethane
High-Performance Liquid Chromatographies
Isatin
n-hexane
sodium sulfate
Solvents
Thiourea
Toluene
To determine glucose uptake, Capan1 and S2-013 cells (5 × 104 cells per well) were seeded in 24-well plates. After 12 h, cells were treated with multiple concentrations of sodium-3-hydroxybutyrate and lithium acetoacetate for 24 h. After treatment, cells were starved for glucose for 2 h and then incubated for 20 min with 1 μCi [3H]-2-deoxyglucose (DG) for a glucose uptake assay. Cells were washed with phosphate-buffered saline (PBS) and lysed with 1% sodium dodecyl sulfate (SDS). The lysates were then subjected to [3H] counting by utilizing a scintillation counter. Scintillation counts from cells treated with labeled and excess unlabeled 2-DG were utilized as controls for baseline correction. The results were normalized to the cell counts. For determining glutamine uptake, Capan1 and S2-013 cells (5 × 104 cells per well) were seeded in 24-well plates. After 12 h, cells were treated with solvent control, multiple concentrations of sodium-3-hydroxybutyrate, or lithium acetoacetate for 24 h. Post treatment, cells were starved for glutamine for 2 h and then incubated for 3 min with 1 μCi tritiated Glutamine, l -[3,4-3H(N)]. Cells were washed with PBS and lysed in 1% SDS. The lysates were used for [3H] counting by utilizing a scintillation counter. Scintillation counts from cells treated with labeled and excess unlabeled glutamine were utilized as controls for baseline correction. The results were normalized to the cell counts.
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2-Deoxyglucose
Acetoacetates
Biological Assay
Cells
Glucose
Glutamine
Hydroxybutyrates
Lithium
Phosphates
Saline Solution
Scintillation Counters
Sodium
Solvents
Sulfate, Sodium Dodecyl
This investigation used the FinnTwin12 cohort, which is an ongoing longitudinal population-based sample of Finnish twins born in 1983–1987 to investigate behavioral development and habits (Kaprio, 2006 (link); Rose et al., 2019 (link)). Twins and their families were identified using the Finnish Central Population Registry, and the main full-sample waves of questionnaire collection occurred at ages 11/12, 14, 17, and 22 years. The baseline response rate was 87% (N = 5,600 twins) and has remained high throughout (response rate range: 85–90%). At age 14 years, a subset of the twins (from 1,035 families) was created and more intensively studied [including semi-structured psychiatric interviews and additional questionnaires (age 14 and 22 years), as well as blood plasma samples (age 22 years)]. The “age 22” assessment wave involved 1,347 twin individuals (mean age = 22.4 years, SD = 0.70; response rate 73.0%), with 779 individuals attending in-person assessments and thus venous blood plasma samples could be collected. The remainder were assessed by telephone interviews, and questionnaires returned by mail.
The blood samples were collected after overnight fasting, which involved abstaining from alcohol and tobacco since the night before sampling. Plasma was immediately extracted and stored at −80°C. The samples were processed in one batch in the autumn of 2010 using the Nightingale (formerly, Brainshake) automated high-throughput 1H nuclear magnetic resonance spectroscopy (NMR) metabolomics platform (Soininen et al., 2015 (link); Bogl et al., 2016 (link); Rose et al., 2019 (link)). The metabolites from the panel included were amino acids (alanine, glutamine, histidine, isoleucine, leucine, phenylalanine, tyrosine, and valine) and ketone bodies (acetate, acetoacetate, and 3-hydroxybutyrate). All metabolite data were available in units mmol/l. Pregnant women (n = 53) and one individual using cholesterol medication were excluded, yielding a final sample size of 725 twin individuals in this study.
Ethical approval for all data collection waves was obtained from the ethical committee of the Helsinki and Uusimaa University Hospital District and the Institutional Review Board of Indiana University. All data collection and sampling protocols were performed in compliance with the ethical guidelines. Parents provided consent for the twins aged 12 and 14 years, while twins aged 17 and 22 years provided written consent themselves for sample collection.
The blood samples were collected after overnight fasting, which involved abstaining from alcohol and tobacco since the night before sampling. Plasma was immediately extracted and stored at −80°C. The samples were processed in one batch in the autumn of 2010 using the Nightingale (formerly, Brainshake) automated high-throughput 1H nuclear magnetic resonance spectroscopy (NMR) metabolomics platform (Soininen et al., 2015 (link); Bogl et al., 2016 (link); Rose et al., 2019 (link)). The metabolites from the panel included were amino acids (alanine, glutamine, histidine, isoleucine, leucine, phenylalanine, tyrosine, and valine) and ketone bodies (acetate, acetoacetate, and 3-hydroxybutyrate). All metabolite data were available in units mmol/l. Pregnant women (n = 53) and one individual using cholesterol medication were excluded, yielding a final sample size of 725 twin individuals in this study.
Ethical approval for all data collection waves was obtained from the ethical committee of the Helsinki and Uusimaa University Hospital District and the Institutional Review Board of Indiana University. All data collection and sampling protocols were performed in compliance with the ethical guidelines. Parents provided consent for the twins aged 12 and 14 years, while twins aged 17 and 22 years provided written consent themselves for sample collection.
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3-Hydroxybutyrate
Acetate
Acetoacetates
Alanine
Amino Acids
BLOOD
Childbirth
Cholesterol
Ethanol
Ethics Committees, Research
Glutamine
Histidine
Isoleucine
Ketone Bodies
Leucine
Parent
Pharmaceutical Preparations
Phenylalanine
Plasma
Pregnant Women
Specimen Collection
Spectroscopy, Nuclear Magnetic Resonance
Tobacco Products
Twins
Tyrosine
Valine
Veins
This study had a single arm before-and-after comparison design. The experimental intervention consisted of a KD without caloric restriction lasting 6 weeks (42 days) with a previous preparation period including detailed instructions during classes and individual counselling by a dietitian. Day one and day 42 will subsequently be denoted PRE and POST, respectively.
Our dietary recommendations and handouts were similar to those used in the study by Klement et al. [14 ]. Our subjects were provided with handouts summarizing the main aspects of a KD and given a list of suitable foods with very low carbohydrate content. Furthermore, the subjects shared cooking recipes and links to helpful webpages on an internal weblog. They were free to follow a KD according to their personal preferences but were advised to eat ad libitum but limit their carbohydrate intake to a maximum of 20–40 g/day to derive at least 75%, 15–20%, and 5–10% of total energy from fats, protein, and carbohydrates, respectively. In the first intervention week the subjects were instructed to switch in a gradual and well-controlled manner from their usual to a KD with the objective to attain stable ketosis by the end of the week, as such transition periods can be accompanied by short-term side effects including gastrointestinal symptoms (eg, constipation) and slight headache [15 ]. The subjects received a logbook to record daily any side effects and complaints during the KD intervention. To avoid biasing the cardiopulmonary exercise testing at POST, the subjects were advised not to alter their physical activities during the study period. Physical activity was assessed at PRE and POST using a validated questionnaire developed by Frey et al. [16 (link)].
Compliance with the dietary regimen was monitored by taking daily measurements of urinary ketones and keeping 7-day food records. The subjects documented their daily urinary ketone measurements (acetoacetate) using self-testing strips (Ketostix, Bayer Vital GmbH, Leverkusen, Germany). An initial substudy revealed that ketonuria can be most reliably detected in the early morning and post-dinner urine [17 (link)]. Those results also enabled our dietitian to individually fine-tune their diets if necessary via phone or personal contact, thus ensuring continuous ketosis.
Two semi-quantitative 7-day food records were obtained from all subjects before and during the last week of the intervention. Our dietitian gave them precise oral and written instructions individually on how to accurately record the amounts and types of food and beverages. Subjects were given a digital portable scale (KS 22, Beurer GmbH, Ulm, Germany) and instructed to weigh all food items separately if possible or to estimate the amounts and take a photograph. The energy, macro- and micronutrient intakes were analysed with a nutritional database software (Prodi 6.5 basis, Nutri-Science GmbH, Stuttgart, Germany).
Our dietary recommendations and handouts were similar to those used in the study by Klement et al. [14 ]. Our subjects were provided with handouts summarizing the main aspects of a KD and given a list of suitable foods with very low carbohydrate content. Furthermore, the subjects shared cooking recipes and links to helpful webpages on an internal weblog. They were free to follow a KD according to their personal preferences but were advised to eat ad libitum but limit their carbohydrate intake to a maximum of 20–40 g/day to derive at least 75%, 15–20%, and 5–10% of total energy from fats, protein, and carbohydrates, respectively. In the first intervention week the subjects were instructed to switch in a gradual and well-controlled manner from their usual to a KD with the objective to attain stable ketosis by the end of the week, as such transition periods can be accompanied by short-term side effects including gastrointestinal symptoms (eg, constipation) and slight headache [15 ]. The subjects received a logbook to record daily any side effects and complaints during the KD intervention. To avoid biasing the cardiopulmonary exercise testing at POST, the subjects were advised not to alter their physical activities during the study period. Physical activity was assessed at PRE and POST using a validated questionnaire developed by Frey et al. [16 (link)].
Compliance with the dietary regimen was monitored by taking daily measurements of urinary ketones and keeping 7-day food records. The subjects documented their daily urinary ketone measurements (acetoacetate) using self-testing strips (Ketostix, Bayer Vital GmbH, Leverkusen, Germany). An initial substudy revealed that ketonuria can be most reliably detected in the early morning and post-dinner urine [17 (link)]. Those results also enabled our dietitian to individually fine-tune their diets if necessary via phone or personal contact, thus ensuring continuous ketosis.
Two semi-quantitative 7-day food records were obtained from all subjects before and during the last week of the intervention. Our dietitian gave them precise oral and written instructions individually on how to accurately record the amounts and types of food and beverages. Subjects were given a digital portable scale (KS 22, Beurer GmbH, Ulm, Germany) and instructed to weigh all food items separately if possible or to estimate the amounts and take a photograph. The energy, macro- and micronutrient intakes were analysed with a nutritional database software (Prodi 6.5 basis, Nutri-Science GmbH, Stuttgart, Germany).
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Acetoacetates
Beverages
Caloric Restriction
Carbohydrates
Constipation
Diet
Dietitian
Fats
Fingers
Food
Headache
Ketosis
Ketostix
Micronutrient Intake
Proteins
Treatment Protocols
Urine
Acetoacetates
Carnitine
Fatty Acids
Freezing
Glucose
Glycerin
Glycolysis
Heart
Hydroxybutyrates
Insulin
Krebs-Henseleit solution
Metabolism
Mice, Laboratory
Myocardium
Nitrogen
Oleate
Oxygen Consumption
Perfusion
Pressure
Most recents protocols related to «Acetoacetates»
A quality control step was applied to the metabolite data prior to analysis and described by Dervishi et al. (2021b) (link). Metabolites that were frequently (>20%) below the limit of detection or with at least 20% missing values were removed from consideration (acetic acid, isopropanol, ketoleucine, 3-hydroxyisovaleric acid). A total of 44 metabolites remained in the dataset. Data normalization (log10) of metabolite concentrations that were not normally distributed was done prior to statistical analysis. Three combinations of metabolites were also used for statistical analysis as described in Dervishi et al. (2021b) (link): 1) branched chain amino acids (BCAA), which was calculated as the sum of L-leucine, L-isoleucine, and L-valine, 2) ketogenic amino acids (ketoAA), calculated as the sum of L-lysine and L-leucine, and 3) ketones, calculated as the sum of the three ketone bodies, 3-hydroxybutyric acid acetoacetate, and acetone.
Significance of group classification, batch, enrichment, and of the covariable age at entry was determined using the following linear mixed effects model implemented in R studio (2015) statistical software:
where Υ is the trait (metabolite concentration); Group is the group classification of pigs (resilient, middle, susceptible and dead); Batch is the fixed batch effect (N = 1 to 15); NurEnrich is the fixed effect of environmental enrichment (barren or enriched); Age is the covariate of age when the pig entered the quarantine nursery; Pen is the random effect of pen by batch in the quarantine nursery; Litter is the random effect of the litter environmental effect, and e is the error. The residuals of the model were plotted and visually inspected for the presence of outliers. To test differences between group classification and enrichment conditions, the Least Square Means (LSMs) for each pair-wise comparison were estimated and their P values were adjusted using false discovery ratio correction (FDR). Differences were considered significant if P ≤ 0.05 and as a tendency towards significance if P > 0.05 and ≤ 0.10.
Significance of group classification, batch, enrichment, and of the covariable age at entry was determined using the following linear mixed effects model implemented in R studio (2015) statistical software:
where Υ is the trait (metabolite concentration); Group is the group classification of pigs (resilient, middle, susceptible and dead); Batch is the fixed batch effect (N = 1 to 15); NurEnrich is the fixed effect of environmental enrichment (barren or enriched); Age is the covariate of age when the pig entered the quarantine nursery; Pen is the random effect of pen by batch in the quarantine nursery; Litter is the random effect of the litter environmental effect, and e is the error. The residuals of the model were plotted and visually inspected for the presence of outliers. To test differences between group classification and enrichment conditions, the Least Square Means (LSMs) for each pair-wise comparison were estimated and their P values were adjusted using false discovery ratio correction (FDR). Differences were considered significant if P ≤ 0.05 and as a tendency towards significance if P > 0.05 and ≤ 0.10.
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2-keto-4-methylvalerate
3-Hydroxybutyric Acid
Acetic Acid
Acetoacetates
Acetone
Amino Acids
Amino Acids, Branched-Chain
beta-hydroxyisovaleric acid
Isoleucine
Isopropyl Alcohol
Ketone Bodies
Ketones
Leucine
Lysine
Pigs
Quarantine
Valine
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3-Hydroxybutyrate
Acetoacetates
Alanine Transaminase
Cholesterol
High Density Lipoprotein Cholesterol
Hypoalphalipoproteinemia, Familial
Malondialdehyde
MAZE protocol
Morris Water Maze Test
Open Field Test
Transaminase, Serum Glutamic-Oxaloacetic
Triglycerides
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Acetoacetates
Alanine Transaminase
Cholesterol
Colorimetry
Enzyme Assays
Glucose
High Density Lipoprotein Cholesterol
Hydroxybutyrates
Lactate
Malondialdehyde
Pyruvates
Serum
Transaminase, Serum Glutamic-Oxaloacetic
Triglycerides
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3-Hydroxybutyrate Dehydrogenase
Acetoacetates
Biological Assay
Enzyme Assays
Hydroxybutyrates
Ketone Bodies
NADH
The primary efficacy end-point was the total daily dose of insulin required to achieve euglycemia, which was defined as a daily mean pre-prandial blood glucose concentration of ≤ 7.8 mmol/L (140 mg/dL). The secondary efficacy end-points including EE and RQ, as measured by indirect calorimetry performed one day before treatment day, day 7 and after 12 weeks. Oxygen consumption and carbon dioxide production were measured to calculate the EE and RQ. According to the Weir equation, EE was calculated without using urinary urea nitrogen levels [14 (link)]. Protein oxidation was determined from 24-h urinary nitrogen excretion, and the carbohydrate and lipid oxidation rates were determined from the non-protein RQ. EE and RQ were assessed at the steady state, which was defined as the 10-min time period during which the average minute-by-minute changes in oxygen consumption and carbon dioxide production were < 10% and the average RQ change was < 5% [16 (link)]. The average RQ and EE at the steady state were measured at each 10-min recording period.
The exploratory end-points included the changes in daily urinary glucose excretion, 3β-hydroxybutyrate, acetoacetate concentrations, body weight, systolic blood pressure, and diastolic blood pressure.
The exploratory end-points included the changes in daily urinary glucose excretion, 3β-hydroxybutyrate, acetoacetate concentrations, body weight, systolic blood pressure, and diastolic blood pressure.
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Acetoacetates
Blood Glucose
Body Weight
Calorimetry, Indirect
Carbohydrates
Carbon dioxide
Hydroxybutyrates
Insulin
Lipids
Nitrogen
Nitrogen-24
Oxygen Consumption
Pressure, Diastolic
Proteins
Systolic Pressure
Urea
Urine
Top products related to «Acetoacetates»
Sourced in United States
Lithium acetoacetate is a chemical compound used as a laboratory reagent. It is a white, crystalline solid that is soluble in water and other polar solvents. Lithium acetoacetate is commonly used in various analytical and synthetic procedures in research and development settings.
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Ketostix is a diagnostic test strip used to detect the presence of ketones in the urine. It provides a simple and rapid method for monitoring ketone levels, which can be clinically relevant for individuals with certain medical conditions such as diabetes.
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Acetoacetate is a chemical compound that is commonly used in laboratory settings. It serves as a precursor for various chemical reactions and is an important intermediate in metabolic processes. Acetoacetate is a colorless, crystalline solid that is soluble in water and other polar solvents.
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Ab83390 is a laboratory reagent for research use. It is a monoclonal antibody that targets a specific protein or antigen. The core function of this product is to facilitate the detection and analysis of the target molecule in various experimental settings. No further details on the intended use or specific applications are provided.
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Ab180875 is a recombinant monoclonal antibody. It is intended for use as a research tool.
Sourced in United States, United Kingdom
The Precision Xtra is a compact and portable blood glucose monitoring system designed for professional use. It provides precise and reliable blood glucose measurements to support healthcare providers in their clinical decision-making.
Sourced in United States
β-hydroxybutyrate is a laboratory equipment product used for the quantitative determination of β-hydroxybutyrate levels in biological samples. It serves as an analytical tool for researchers and clinicians to measure this metabolite, which is a key indicator of ketosis and related metabolic conditions.
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The Ketone Body Assay Kit is a laboratory equipment product designed to measure the concentration of ketone bodies in various sample types. It provides a quantitative analysis of acetoacetate, β-hydroxybutyrate, and acetone levels. The kit includes all necessary reagents and materials for performing the assay.
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Sodium L-lactate is a chemical compound that is used in various laboratory applications. It is the sodium salt of L-lactic acid, a naturally occurring organic acid. Sodium L-lactate is a white, crystalline powder that is highly soluble in water and has a mild, salty taste. It is commonly used as a pH buffer, a source of L-lactate ions, and in the preparation of various cell culture media and other laboratory solutions.
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Sodium pyruvate is a chemical compound that functions as an energy source and metabolic intermediate in cell culture media. It is commonly used as a supplement in cell culture applications to support cell growth and metabolism.
More about "Acetoacetates"
Acetoacetates are a class of organic compounds containing the acetoacetate functional group, which plays a crucial role in various metabolic processes, including energy production and ketone body formation.
These compounds are closely related to other important substances like lithium acetoacetate, a salt of acetoacetate used in research, and ketostix, which are test strips used to detect the presence of acetoacetate and other ketone bodies.
Acetoacetate itself is a key intermediate in the metabolism of fat and carbohydrates, serving as a precursor to the ketone bodies β-hydroxybutyrate and acetone.
The acetoacetate assay kit is a valuable tool for researchers studying these metabolic pathways.
Additionally, sodium L-lactate and sodium pyruvate are other related compounds that can be important in acetoacetate-related studies.
PubCompare.ai's AI-driven comparisons can help researchers optimize their Acetoacetates studies by locating the best protocols from literature, preprints, and patents, enhancing reproducibility and accuracy.
Explore the power of PubComapre.ai today and take your Acetoacetates research to new hieghts.
These compounds are closely related to other important substances like lithium acetoacetate, a salt of acetoacetate used in research, and ketostix, which are test strips used to detect the presence of acetoacetate and other ketone bodies.
Acetoacetate itself is a key intermediate in the metabolism of fat and carbohydrates, serving as a precursor to the ketone bodies β-hydroxybutyrate and acetone.
The acetoacetate assay kit is a valuable tool for researchers studying these metabolic pathways.
Additionally, sodium L-lactate and sodium pyruvate are other related compounds that can be important in acetoacetate-related studies.
PubCompare.ai's AI-driven comparisons can help researchers optimize their Acetoacetates studies by locating the best protocols from literature, preprints, and patents, enhancing reproducibility and accuracy.
Explore the power of PubComapre.ai today and take your Acetoacetates research to new hieghts.