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Very Low Density Lipoprotein

Very Low Density Lipoproteins (VLDL) are a class of lipoproteins that transport triglycerides and cholesteerol from the liver to peripheral tissues.
VLDL is an important component of lipid metabolism and its levels can be used as a biomarker for cardiovascular disease risk.
This description provides a concise, informative overview of VLDL for researchers optimizing their studies in this area.
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Most cited protocols related to «Very Low Density Lipoprotein»

A high-throughput serum nuclear magnetic resonance (NMR) spectroscopy platform [28] was utilized to quantify 67 metabolic measures that represent a broad molecular signature of the systemic metabolite profile. The metabolite set covers multiple metabolic pathways, and includes lipoprotein lipids, fatty acids, amino acids, and glycolysis precursors (Table S1). Fourteen lipoprotein subclasses were analyzed as part of the metabolite profile, with the subclass sizes defined as follows: extremely large very-low-density lipoproteins (VLDLs) (particle diameter from 75 nm upwards), five VLDL subclasses (average particle diameters of 64.0 nm, 53.6 nm, 44.5 nm, 36.8 nm, and 31.3 nm), intermediate-density lipoproteins (28.6 nm), three low-density lipoprotein (LDL) subclasses (25.5 nm, 23.0 nm, and 18.7 nm), and four high-density lipoprotein (HDL) subclasses (14.3 nm, 12.1 nm, 10.9 nm, and 8.7 nm). The NMR-based metabolite profiling employed in this study has previously been used in various epidemiological studies [25] (link)–[31] (link), and details of the experimentation have been described [28] ,[32] (link),[33] (link). Furthermore, 15 additional measures, including various inflammatory markers, liver function surrogates, hormones, and blood pressure, were analyzed (Text S1). These additional metabolic measures, assayed in at least two of the cohorts, were selected to complement the comprehensive characterization of cardiometabolic effects of adiposity across multiple pathways and to enhance comparability with prior Mendelian randomization studies [7] (link),[14] (link)–[16] (link).
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Publication 2014
Amino Acids Blood Pressure Fatty Acids Glycolysis High Density Lipoproteins Hormones Inflammation Lipids Lipoproteins Lipoproteins, IDL Liver Low-Density Lipoproteins Magnetic Resonance Imaging Obesity Serum Spectroscopy, Nuclear Magnetic Resonance Very Low Density Lipoprotein
Blood samples were collected from the antecubital vein of all participants in the morning under fasting conditions. They were stored in vacuum tubes containing EDTA (ethylene diamine tetraacetic acid) and coagulation tubes. A range of haematological and biochemistry tests (Table 2) were conducted on fresh samples at the central laboratory of the Staff Hospital of Jidong oil-field of Chinese National Petroleum. Fasting blood glucose was measured with the hexokinase/glucose-6-phosphate dehydrogenase method. Cholesterol and triglyceride concentrations were determined by enzymatic methods (Mind Bioengineering Co. Ltd, Shanghai, China). Blood samples were also measured using an auto-analyzer (Hitachi 747; Hitachi, Tokyo, Japan) at the central laboratory of the Staff Hospital of Jidong oil-field of Chinese National Petroleum. For all participants, serum creatinine, cholesterol, high-density lipoproteins (HDL-C), low-density lipoproteins (LDL-C), triglycerides and glucose levels were assessed. In subgroup analysis studies, various biomarkers of blood cells, serum and plasma were measured: C-reactive protein, homocysteine, estrogens, androgens, vitamin D, lipoprotein-associated phospholipase A2 (Lp-PLA2), insulin, and glycosylated hemoglobin HbA1c.

Haematology, biochemistry and biological specimen banking in the COACS

Analysate
Red blood cellsHaemoglobin
Red corpuscle count
Haematocrit
Mean corpuscular volume
Mean corpuscular
Haemoglobin concentration
Red blood cell distribution width
White blood cellsWhite cell count Total count
Differential count
PlateletsPlatelets Count
Mean platelet volume
UreaUrine specific gravity
Ery
Urea nitrogen
Uric acid (UA)
Creatinine (Cr)
Urine protein
Liver function tests (plasma)Alkaline phosphatise
Alanine transaminase (ALT)
Aspartate aminotransferase (AST)
Phosphatise Transglutaminase (TG)
Liver function tests (serum)HBsAg
Anti-HBs
HBeAg
Anti-HBe
Anti-HBc
Lipids (plasma)Total cholesterol (TC)
Total bilirubin (TBIL)
Triglycerides (TG)
Low density lipoprotein (LDL)
Very Low density lipoprotein (VLDL)
General chemistry (plasma)C-reactive protein
Homocysteine
Steroids
Glucose
Insulin
Glycosylated hemoglobin
Bio-specimen banking
 White blood cellsDNA, RNA extraction and analyses
 SerumPedtidome profiling
 PlasmaGlycome
Blood samples were processed and separated onsite for biospecimen banking (−80 °C). DNA and RNA were extracted and stored in the laboratory of Beijing Key Laboratory of Clinical Epidemiology, Beijing, China.
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Publication 2016
Acids Androgens Bilirubin Biological Markers BLOOD Blood Cell Count Blood Cells Blood Glucose Blood Platelets Chinese Cholesterol Clinical Laboratory Services Coagulation, Blood C Reactive Protein Creatinine Edetic Acid Enzymes Ergocalciferol Estrogens Glucose Glucosephosphate Dehydrogenase Hemoglobin, Glycosylated Hexokinase High Density Lipoproteins Homocysteine Insulin Liver Function Tests Low-Density Lipoproteins Oil Fields PAF 2-Acylhydrolase Personnel, Hospital Petroleum Plasma Serum Transaminase, Serum Glutamic-Oxaloacetic Transaminases Transglutaminases Triglycerides Urinalysis Vacuum Vaginal Diaphragm Veins Very Low Density Lipoprotein
Body composition and blood pressure were assessed by a research nurse at Institute of Biomedicine, University of Eastern Finland. Body height was measured by a wall-mounted stadiometer and body weight by the Inbody 720® bioimpedance device
[23 (link)]. Body mass index (BMI) was calculated as body weight divided by body height squared. BMI-standard deviation score (BMI-SDS) was assessed by national references
[24 (link)]. Body fat percentage and lean mass were measured by the Lunar® dual energy x-ray absorptiometry (DXA) device
[23 (link)]. Waist circumference was measured after expiration at mid-distance between the bottom of the rib cage and the top of the iliac crest
[23 (link)]. Blood pressure was measured manually on the right arm by a calibrated aneroid sphygmomanometer (Heine 130 Gamma G7, Munich, Germany). The measurement protocol included, after a rest of five minutes, three measurements in the sitting position at 2-minute intervals. The mean of all three values were used as the systolic and diastolic blood pressure.
Venous blood samples were taken after a 12-hour overnight fast by a laboratory nurse at Institute of Biomedicine, University of Eastern Finland. The blood samples were analysed at Laboratory of Clinical Chemistry at University Hospital of Kuopio. The assessment of plasma glucose, total, high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol and triglycerides as well as serum insulin from 12-hour fasting samples has been explained previously
[25 (link)]. Very low-density lipoprotein (VLDL) was separated by ultracentrifugation and HDL by precipitation of LDL after removal of VLDL fraction
[26 (link)].
A continuous cardiometabolic risk score variable was calculated as the sum of Z-scores of waist circumference, insulin, glucose, triglycerides, HDL cholesterol and the mean of systolic and diastolic blood pressure that are specific for the PANIC study population. The Z-score of HDL cholesterol was multiplied by -1, because HDL cholesterol is inversely associated with cardiometabolic risk. A higher cardiometabolic risk score indicates a less favourable cardiometabolic risk profile.
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Publication 2014
BLOOD Blood Pressure Body Composition Body Fat Body Height Body Weight Cholesterol Clinical Laboratory Services Gamma Rays Glucose High Density Lipoprotein Cholesterol High Density Lipoproteins Iliac Crest Index, Body Mass Insulin Low-Density Lipoproteins Medical Devices Nurses Plasma Pressure, Diastolic Rib Cage Serum Sphygmomanometers Systole Triglycerides Ultracentrifugation Veins Very Low Density Lipoprotein Waist Circumference
Venous blood samples were obtained between 8.00 a.m and 10.00 a.m from the subjects after an overnight fast. Aliquots of blood samples were separated for lead analysis and the remaining blood samples were centrifuged to separate plasma and red blood cells. Plasma concentrations of total cholesterol, LDL-cholesterol and triglycerides were determined with commercial kits (Randox Laboratories, Crumlin, England). HDL-cholesterol was determined in plasma with the same commercial kits for total cholesterol after very low density lipoproteins (VLDL) and low density lipoproteins (LDL) were precipitated with heparin-MnCl2 solution [32 (link)]. Blood lead analysis was performed using atomic absorption spectrophotometry. Details of this have been given elsewhere [13 (link),14 ].
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Publication 2005
BLOOD Cholesterol Cholesterol, beta-Lipoprotein Erythrocytes Hematologic Tests Heparin High Density Lipoprotein Cholesterol Low-Density Lipoproteins manganese chloride Plasma Randox Spectrophotometry, Atomic Absorption Triglycerides Veins Very Low Density Lipoprotein
Serum samples (200 μL) were processed according to standard procedures for NMR metabolomic measurement [38 (link)]. One-dimensional 1H Carr-Purcell-Meiboom-Gill (CPMG) and Nuclear Overhauser effect spectroscopy (NOESY) NMR spectra were recorded for each serum sample on a Bruker Avance III spectrometer operating at 800.15 MHz 1H NMR frequency. Additional two-dimensional NMR spectra were recorded on a set of representative samples (one control and one case) to achieve assignment of the NMR signals observed in the 1H one-dimensional fingerprints to metabolites. The measured chemical shifts were compared to reference shifts of pure compounds using the HMDB [39 (link)], MMCB [40 (link)], and ChenomX NMR Suite (Chenomx Inc., Edmonton, Canada) databases. Figure 1 shows the mean CPMG spectrum with metabolite assignments. The detailed list of the 44 annotated metabolites is provided in Additional file 1: Table S1. NMR signals arising from lipids enabled the quantification of unsaturated lipids in the serum (signal at 5.28 ppm, resonance of -CH = CH- from unsaturated lipids) as well as terminal lipids methyls corresponding to several classes of lipoproteins: very-low-density lipoproteins (VLDL; δ 0.86 ppm), low-density lipoproteins (LDL; δ 0.84 ppm), and high-density lipoproteins (HDL; δ 0.82 ppm). After processing and calibration, each 1D NMR spectrum was reduced into bins of 0.001 ppm width over a chemical shift range of 0.5–9 ppm using the AMIX software (Bruker GmbH, Rheinstetten, Germany), giving a total number of 8,500 NMR variables.

Mean 1H Carr-Purcell-Meiboom-Gill NMR spectrum of serum samples with metabolite assignment. 1, CH3 bond of lipids, mainly VLDL; 1’, CH3 bond of lipids, mainly LDL; 1”, CH3 bond of lipids, mainly HDL; 2, CH2 bond of lipids; 3, CH2-CH2-COOC bond of lipids; 4, CH2-CH = bond of lipids; 5, CH2-CH2-COOC bond of lipids; 6, =CH-CH2-CH = bond of lipids; 7, Lipid O-CH2; 8, CH = CH bond of lipids

All NMR analyses were performed blindly with respect to case/control status. Further details on sample preparation, NMR data acquisition, and spectra processing are available in Additional file 1.
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Publication 2015
1H NMR Gills High Density Lipoproteins Lipids Lipoproteins Low-Density Lipoproteins Serum Spectrum Analysis Very Low Density Lipoprotein Vibration

Most recents protocols related to «Very Low Density Lipoprotein»

Mice at the fed state or fasted for 12 h were sacrificed, and whole blood was collected from retrobulbar venous plexus and centrifuged for 10 min at 12,000 × g to obtain plasma. Plasma glucose, total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), very low-density lipoprotein (VLDL), and total triglycerides were measured using commercial kits (Nanjing Jiancheng Bioengineering Institute, Nanjing, China). ELISA kits (Sinoukbio, Beijing, China) were used to measure plasma insulin, C-peptide, non-esterified fatty acid (NEFA), leptin, IL (interleukin) 4, IL6, IL10, resistin, interferon γ (IFNγ) and monocyte chemotactic protein-1 (MCP1) following the manufacturer’s instruction.
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Publication 2023
BLOOD C-Peptide Cholesterol Enzyme-Linked Immunosorbent Assay Fatty Acids, Esterified Glucose High Density Lipoproteins IL10 protein, human Insulin Interferon Type II Interleukin-4 Leptin Low-Density Lipoproteins Monocyte Chemoattractant Protein-1 Mus Plasma RETN protein, human Triglycerides Veins Very Low Density Lipoprotein
The levels of total cholesterol (TC), triglycerides (TG), and high-density lipoprotein (HDL) were carried out in semi autoanalyzer (Photometer 5010, Germany) using Agappe Kits. Friedwalds formula was used to calculate the levels of low-density lipoprotein (LDL) and very low-density lipoprotein (VLDL) as follows:
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Publication 2023
Cholesterol High Density Lipoproteins Low-Density Lipoproteins Triglycerides Very Low Density Lipoprotein
All subjects underwent overnight sleep monitoring. In the study, only patients with polysomnography (Alice 6 device, Philips-Respironics, Murrysville, PA, USA) and recorded respiratory disturbance index (RDI) were enrolled. Only subjects with RDI ≥ 15 were included for further assessment. Other recorded indices included oxygen desaturation index (ODI), arousal index, average nocturnal O2 saturation, and minimal nocturnal O2 saturation. Standardized criteria were used for the scoring of sleep characteristics and respiratory events [22 ].
Monitored variables:
Blood plasma samples were obtained in the morning after polysomnography and after overnight fasting. Blood samples with ethylenediaminetetraacetic acid (EDTA) were collected. Immediately after the collection of plasma samples, levels of TAG, TC, LDL, and HDL were determined in a local certified hospital laboratory with an enzymatic method (Roche Diagnostics, Mannheim, Germany). The quantitative analysis of lipoprotein families and lipoprotein subfractions including very low-density lipoprotein (VLDL), intermediate-density lipoprotein (IDL), and plasma lipoprotein subfractions were analyzed by the Lipoprotein system (Quantimetrix Corp., Redondo Beach, CA, USA) using a polyacrylamide gel electrophoresis [23 (link)]. The following subfractions were evaluated: large LDL subfractions 1–2 (which are considered atheroprotective), small dense LDL subfractions 3–7 (which are considered atherogenic), large HDL subfractions 1–3 (which are considered atheroprotective), small dense HDL subfractions 8–10 (which are considered atherogenic), and intermediate HDL subfractions 4–7 (their atherogenic/atheroprotective role remains controversial) [20 (link),21 (link)].
Endothelial function was assessed by PAT (EndoPAT 2000 device, Itamar Medical Ltd., Caesarea, Israel) as previously described [14 (link)]. RHI was calculated as the ratio of the average amplitude of the PAT signal post-to-pre occlusion of the tested arm, normalized to the concurrent signal from the contralateral finger. Calculations were performed using the computer algorithm (software 3.1.2) supplied with the device. RHI value < 1.67 indicated endothelial dysfunction [14 (link),24 (link)].
Statistical analyses were performed by SPSS ver. 18 (SPSS Inc., Chicago, IL, USA). The results of normally distributed data are expressed as a mean ± standard deviation, and the results of not normally distributed data are expressed as median, interquartile range, minimal and maximal values. Pearson or Spearman correlation coefficients were used to determine the relationships between RHI and the baseline characteristics of the study population. We used stepwise multiple linear regression to create the prediction model and identify the most important contributors to this model. A model with the highest number of significant predictors was chosen. The dependent variable in the model was RHI, independent variables in the model were anthropometric characteristics (age, gender, BMI), sleep characteristics (T90, RDI, ODI, arousal index, average, and minimal nocturnal O2 saturation), and lipoprotein levels (TAG, TC, LDL, HDL, VLDL, IDL, large LDL, small LDL, large HDL, intermediate HDL, and small HDL). Each model was assessed for the presence of multicollinearity of included variables. The variance inflation factor (VIF) ≥5 was indicative of multicollinearity. The p value < 0.05 was considered statistically significant.
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Publication 2023
Arousal Atherogenesis BLOOD Dental Occlusion Diagnosis Edetic Acid Endothelium Enzymes Factor V Fingers Gender LDL-2 Lipoproteins Lipoproteins, HDL3 Lipoproteins, IDL Medical Devices Oximetry Oxygen Patients Plasma Polyacrylamide Gel Electrophoresis Polysomnography Respiratory Rate Sleep Specimen Collection Very Low Density Lipoprotein
Plasma was centrifuged (3000 rpm, 4 °C, 15 min) after collection and stored at −80 °C until analysis. A 0.5 mL aliquot of each plasma sample was transferred on dry ice to the NMR laboratory (Tianjin, China). Of the 297 individuals, an extra quality control pooled plasma sample was prepared from 40 randomly selected individuals. As described previously, 1H NMR spectra of plasma samples were measured by Bruker Avance III 600 MHz NMR spectrometer (Bruker Biospin Gmbh, Rheinstetten, Germany) [28 (link)]. NMR spectra were obtained by NOESY-presat pulse sequences (noesygppr1d) from Bruker’s library. A total of 112 lipoprotein variables were quantified from the 1D NOESY 1H NMR spectra using the Bruker IVDr LIpoprotein Subclass Analysis (B.I.-LISA) prediction model [29 (link)], either as absolute concentrations or as ratios. This model determines triglycerides (tg), cholesterol (chol), free cholesterol (fchol) and phospholipids (phol), apolipoprotein A1, A2, B and particle numbers for different LPs.
Lipoprotein particles include four main fractions and their corresponding subfractions, which are intermediate density lipoprotein (IDL), very low-density lipoprotein (VLDL) and the five subfractions (VLDL-1 to VLDL-5), low-density lipoprotein (LDL) and six subfractions (LDL-1 to LDL-6), and high-density lipoprotein (HDL) and four subfractions (HDL-1 to HDL-4) [29 (link)]. All samples were randomly analyzed.
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Publication 2023
1H NMR APOA1 protein, human Cholesterol DNA Library Dry Ice high density lipoprotein-1 High Density Lipoproteins LDL-1 Lipoprotein (a) Lipoprotein (a-) Lipoproteins Lipoproteins, IDL Low-Density Lipoproteins Phospholipids Plasma Triglycerides Very Low Density Lipoprotein

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Publication 2023
Alanine Transaminase Alkaline Phosphatase Ascites Asterixis Asthenia Bilirubin Biopsy BLOOD Blood Vessel Enzyme-Linked Immunosorbent Assay Fatigue Fibrosis, Liver Hepatitis B Surface Antigens Liver Liver Cirrhosis Low-Density Lipoproteins Patients Physical Examination Serum Transaminase, Serum Glutamic-Oxaloacetic Ultrasonography Very Low Density Lipoprotein Wall, Abdominal

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More about "Very Low Density Lipoprotein"

Very Low Density Lipoproteein (VLDL) are a class of lipoproteins that play a crucial role in lipid metabolism by transporting triglycerides and cholesterol from the liver to peripheral tissues.
VLDL is an important biomarker for cardiovascular disease risk, as elevated levels are associated with an increased risk of heart disease.
Researchers studying VLDL can utilize a variety of tools and techniques to optimize their research.
For example, the Ab65390 ELISA kit can be used to quantify VLDL levels, while the Superose 6 column can be used to separate and purify VLDL from other lipoproteins.
The Cholesterol Assay Kit and the EnzyChrom HDL and LDL/VLDL Assay Kit can also be used to measure cholesterol and lipoprotein levels, respectively.
In addition, automated analyzers like the Cobas Integra 400 and the Hitachi 7150 Autoanalyzer can be used to quickly and accurately measure VLDL and other lipid parameters.
Medications like Tyloxapol can also be used to specifically measure VLDL levels, while the Liatest assay can be used to measure VLDL-associated proteins.
By leveraging these tools and techniques, researchers can streamline their VLDL research and improve the reproducibility of their findings.
PubCompare.ai, an AI-driven platform, can further assist researchers by providing AI-driven comparisons of protocols and products, helping them identify the best approaches for their studies.