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Prealbumin

Prealbumin, also known as transthyretin, is a transport protein involved in the circulation of thyroid hormones and retinol-binding protein.
It is synthesized primarily in the liver and plays a crucial role in maintaining the homeostasis of these important biomolecules.
Prealbumin levels can be used as a marker of nutritional status and may be altered in various disease states, including liver dysfunction, malnutrition, and inflammatory conditions.
Researchers can optimize their prealbumin studies using PubCompare.ai's AI-driven techonology, which helps identify the most accurate and reproducible protocols from published literature, pre-prints, and patents.
This cutting-edge tool enhances research workflows and helps scientists discover the best methods and products for their prealbumin investigations.

Most cited protocols related to «Prealbumin»

Male Dicer1fl/fl mice on a mixed 129S4, C57Bl/6 strain background30 (link) were crossed with C57Bl/6 Alb-Cre+/− mice31 (link) to generate Dicer1fl/fl, Alb-Cre+/− mice. To specifically investigate the impact of miRNAs on mature liver function, we initiated Cre recombinase expression in 8- to 10-week-old mice. For this purpose, we used a double-stranded AAV vector that affords more rapid and efficient transgene expression than conventional AAV vectors by bypassing the need for conversion from a single-stranded to a double-stranded state after transduction.32 (link) To restrict Cre expression to hepatocytes, we used a hepatocyte-specific transthyretin (Ttr) promoter and pseudotyped the vector genome with capsids from AAV8, a serotype that can transduce virtually all hepatocytes in vivo without causing toxicity.33 (link) The AAV8-Ttr-Cre vector is highly efficient and can delete the floxed Dicer1 sequences in all hepatocytes within 48 hours.
Male C57Bl/6 mice (8 weeks old) were maintained on an HFD (Open Source D12492) for 8 weeks. The mice were then divided into two groups; one group was treated with miR-24-ASO (anti-sense oligonucleotide) and the other was treated with miR-24-MM-ASO (control scramble) for 4 weeks. At the 12th week, the mice were anesthetized and blood was collected by way of cardiac puncture. Subsequently, the livers were harvested and immediately frozen in liquid nitrogen and stored at −80°C for further analysis.
Publication 2014
Antisense Oligonucleotides BLOOD Capsid Cloning Vectors Cre recombinase DICER1 protein, human Freezing Genome Heart Hepatocyte Liver Males Mice, Inbred C57BL Mice, Laboratory MicroRNAs Nitrogen Prealbumin Punctures Strains Transgenes
In this study, we constructed a dataset, the Hexpepset dataset, to train the model and test the robustness of Pafig. The six-residue peptides that could form fibrils were defined as positive samples and those that could not form fibrils as negative samples. The Hexpepset dataset consisted of 2452 hexpeptides (1226 positive samples and 1226 negative samples). The positive samples in the Hexpepset dataset were collected by scanning known fibril-forming fragments [1 (link),5 (link),6 (link),8 (link),14 (link),18 (link),20 (link),27 (link)] (Additional file 1) with a six-residue window. Because a large difference between the positive and negative samples can hamper training of the SVM [28 (link),29 (link)], the negative set also contained 1226 hexpeptides selected from two different sources. The first negative sample part contained 876 samples, which was selected by scanning the fragments that had been proved not to form fibrils by experiments[18 (link),20 (link)]. The second negative sample part consisted of 350 samples. These samples were randomly selected from the hexpeptides obtained by scanning the fragments except the experimentally determined amyloidogenic regions of five proteins (Transthyretin, Genbank Accession No. AAB35640.1; Major prion protein precursor, Genbank Accession No. P04156; Apo-AI, Genbank Accession No. P02647; Alpha-synuclein, Genbank Accession No. P37840.1; Beta-2-Microglobulin, Genbank Accession No. 1LDS) [1 (link),6 (link),27 (link)]. The Hexpepset dataset could be downloaded from website of Pafig [30 ].
There are totally 544 physicochemical properties in the amino acid index database version 9.0 (AAindex) [25 (link),26 (link)], which is a collection of published amino acid indices representing different physicochemical and biological properties of amino acids. Each physicochemical property consists of a set of 20 numerical values for amino acids. The property having the value 'NA' in a value set of amino acid index was discarded. Finally, 531 properties were used for the following mining method.
Publication 2009
alpha-Synuclein Amino Acids APOA1 protein, human BETA MICROGLOBULIN 2 Biopharmaceuticals Peptides Prealbumin Prion Proteins Protein Domain
For details on the various materials and methods employed in this study, see Supplementary Data.
Constructs. The mPB and hyPB were custom synthesized and expressed from a cytomegalovirus promoter (Figure 1a,b). An identical expression plasmid devoid of PB (“empty”) was used as control (Figure 1c). The terminal inverted repeats (IRs) of the transposon-containing plasmids (Figure 1) corresponded to truncated wild-type IRs56 (link),57 (link) (IRwt), contained T53C and C136T point mutations (IRmut16),18 (link) or were further truncated (IRmicro).19 (link) The IRmut16 and IRmicro were selected since they increased transposition efficiency based on in vitro studies. Wild-type, codon-optimized or hyperfunctional human factor IX cDNA (Figure 1) was expressed from a chimeric liver-specific promoter that was composed of a liver-specific minimal transthyretin (TTRmin) promoter in conjunction with a potent hepatocyte-specific cis-regulatory module (designated as HS-CRM8).20 ,21 (link),22 Similarly, the PB-FVIII (Figure 1i) or PB-c-Myc transposon (Figure 1j) used the same promoter to express the B-domain deleted FVIII or c-Myc, respectively.
Animal experiments. C57Bl/6JRj, CB17/IcrTac/Prkdcscid (SCID), or FIX-deficient hemophilia B mice in a C57Bl/6 background were employed. All animal procedures were approved by the institutional animal ethics committees. Mice were transfected by hydrodynamic liver transfection. We collected whole blood (≈200 µl) by phlebotomy of the retro-orbital plexus. The citrated plasma was stored at −80 °C. A tumor-prone HCC mouse model was established by DEN initiation.32 (link) One month later, mice were hydrodynamically injected. Survival was monitored, and HCC nodules were examined at 36 weeks. hFIX antigen and antibody levels were determined by enzyme-linked immunosorbent assay as described.24 (link) FVIII antigen levels were determined by enzyme-linked immunosorbent assay, as described.31 (link) FIX activity was determined using a functional assay, and phenotypic correction was assessed in hemophilic mice using a tail-clip assay. Transposon copy number and transgene mRNA expression was determined by quantitative PCR and reverse transcriptase PCR, respectively.
Statistics. Data were analyzed using GraphPad Software (GraphPad, La Jolla, CA). Statistical analyses were performed using a two-tailed unpaired Student's t-test. Results were presented as mean ± SEM.
Publication 2014
Animals Antigens Biological Assay BLOOD Chimera Clip Codon Cytomegalovirus DNA, Complementary Enzyme-Linked Immunosorbent Assay Factor IX Hemophilia B Homo sapiens Hydrodynamics Immunoglobulins Institutional Ethics Committees Inverted Terminal Repeat Jumping Genes Liver Mice, Laboratory Neoplasms NOS2A protein, human Oncogenes, myc Phenotype Phlebotomy Plasma Plasmids Point Mutation Prealbumin Reverse Transcriptase Polymerase Chain Reaction RNA, Messenger SCID Mice Transfection Transgenes
A retrospective chart review was performed on a consecutive case series of 259 female breast cancer patients treated at Cancer Treatment Centers of America (CTCA)® at Midwestern Regional Medical Center (MRMC) between January 2001 and May 2006. The patients were identified from the MRMC tumor registry. Only patients with a histologically confirmed diagnosis of breast cancer were included in this study. The study was approved by the Institutional Review Board at MRMC.
All patients underwent a baseline nutritional assessment, which included laboratory measurements of serum albumin, prealbumin and transferrin, subjective global assessment (SGA), and BIA. BIA was performed by a registered dietitian using a Bioelectrical Impedance Analyzer, Model BIA-101Q: RJL Systems, Clinton Township, MI, USA. BIA was conducted while patients were lying supine on a bed or exam table, with legs apart and arms not touching the torso. All evaluations were conducted on the patients' right side using the four surface standard electrode (tetra polar) technique on the hand and foot [23 (link)]. Resistance (R) and reactance (Xc) were directly measured in Ohms at 50 Khz, 800 μA using RJL BIA. One assessment of resistance (R) and reactance (Xc) was made. Phase angle was calculated using the following equation: Phase Angle = (Resistance/Reactance)*(180/π).
All data were analyzed using SPSS 11.5 (SPSS Inc., Chicago, IL, USA). Patient survival was defined as the time interval between date of first patient visit to the hospital and date of death from any cause or date of last contact/last known to be alive. The Kaplan-Meier or product-limit method was used to calculate survival. The log rank test statistic was used to evaluate the equality of survival distributions across different strata. A difference was considered to be statistically significant if the p value was less than or equal to 0.05. Survival was also evaluated using univariate and multivariate Cox regression analysis. Variables evaluated included phase angle, age at diagnosis, prior treatment history and stage at diagnosis. For the purpose of univariate analysis, phase angle measurements were categorized using SPSS into 2 mutually exclusive groups with median = 5.6 as the cut-off. For the purpose of multivariate analyses, phase angle was treated as a continuous variable. Similarly, stage at diagnosis variable was treated as a dichotomous variable with 2 categories – early stage (stages I and II) and late stage (stages III and IV).
Publication 2008
Arm, Upper Bioelectrical Impedance Breast Carcinoma Diagnosis Dietitian Ethics Committees, Research Foot Leg Malignant Neoplasm of Breast Malignant Neoplasms Neoplasms Nutrition Assessment Patients Prealbumin Serum Albumin Tetragonopterus Torso Transferrin Woman
Generation of mice with a conditional STAT3 allele has been described previously (9 (link)). Exons 18–20, which contain the SH2 domain of STAT3, were flanked by two loxP sites. Two Tie2-Cre transgenic mouse strains expressing Cre under the control of the TIE2–kinase promoter/enhancer were generated. One was described previously with expression in hematopoietic and ECs (14 (link), 22 (link)), and here, we describe another with a more endothelial-specific expression. The TIE2e-Cre;STAT3f/d mutant mice were generated through TIE2e-Cre;STAT3+/d mice crossed to STAT3f/f mice. The genotype was determined by PCR as described previously (9 (link)). TIE2e-Cre mice were mated with Z/EG reporter mice, which produce green fluorescence protein (GFP) from a constitutive promoter after removal of LacZ by cre-mediated recombination (23 (link)). Transthyretin (TTR) Cre mice were generated in our laboratory (unpublished data) and the α-MHC-Cre mice were from M. Schneider (Baylor College of Medicine, Houston, TX). All procedures were performed in accordance with the National Institutes of Health Guide for the Care and Use of Laboratory Animals and under the approval of the Yale Medical School Animal Care and Use Committee.
Publication 2003
Alleles Animals Animals, Laboratory Endothelium Exons Genotype Green Fluorescent Proteins Hematopoietic System LacZ Genes Mice, Laboratory Mice, Transgenic Pharmaceutical Preparations Phosphotransferases Prealbumin Recombination, Genetic SH2 Domain STAT3 protein, human Strains

Most recents protocols related to «Prealbumin»

Detailed baseline and clinicopathological information, including sex, age, tumor location, tumor size, pathological type, differentiation, lymph node metastasis, and TNM stage of the patients with pancreatic diseases and HC, were obtained from the medical records of the inpatients or outpatients. The preoperative hematological parameters and liver function tests included neutrophils (× 109/L), lymphocytes (× 109/L), monocytes (× 109/L), platelets (× 109/L), plasma fibrinogens (g/L), serum albumins (g/L), prealbumin (mg/L), and CA199 (U/L) within seven days before surgery (average 2—7 days) were gathered from the medical records. TNM staging was performed using the 8th edition of the AJCC Cancer Staging Manual for Pancreatic Cancer.
Publication 2023
Blood Platelets Fibrinogen Inpatient Liver Function Tests Lymph Node Metastasis Lymphocyte Monocytes Neoplasms Neoplasms by Site Neutrophil Outpatients Pancreatic Carcinoma Pancreatic Diseases Patients Plasma Prealbumin Serum Albumin
FAR, FPR, NLR, PLR, MLR, and FLR were defined as the plasma fibrinogen value divided by the serum albumin value, plasma fibrinogen value divided by the serum prealbumin value, neutrophil count divided by the lymphocyte count, platelet count divided by the lymphocyte count, monocyte count divided by the lymphocyte count, and plasma fibrinogen value divided by the lymphocyte count, respectively. PNI was defined as serum albumin value + 5 × lymphocyte count.
Publication 2023
Fibrinogen Lymphocyte Count Monocytes Neutrophil Plasma Platelet Counts, Blood Prealbumin Serum Serum Albumin
The potential parameters were considered based on accessibility and clinical simplicity. Data of UC patients were collected from the electronic medical database of our center, including general demographic and clinical characteristics: sex, age (year), body mass index (kg/m2), age of onset (year), fever (temperature ≥37.3°C), abdominal pain and hematochezia, stool frequency, complications or comorbidities; Blood biomarkers: Vit D (ng/ml), folate (ng/ml), vitamin B12 (pg/ml), ALB (g/L) prealbumin (PAB, mg/L), retinol-binding protein (mg/L), ferritin (ng/mL), Fbg (g/L), white blood cell count (*109/L), neutrophil count (*109/L), monocyte count (*109/L), lymphocyte count (*109/L), platelet count (*109/L), hemoglobin (g/L) and erythrocyte sedimentation rate (mm/H), and fecal occult blood test. All predictors were collected within 1 week before or after colonoscopy.
Publication 2023
Abdominal Pain Biological Markers BLOOD Cobalamins Colonoscopy Fecal Occult Blood Test Feces Ferritin Fever Folate Hematochezia Hemoglobin Index, Body Mass Leukocyte Count Lymphocyte Count Monocytes Neutrophil Patients Platelet Counts, Blood Prealbumin Retinol Binding Proteins Sedimentation Rates, Erythrocyte Vitamin D
Statistical analyses were performed by a single researcher using commercially available software (SPSS version 28, IBM, New York, NY, United States). Distribution of the data was assessed using visual inspection of histograms, QQ-plots and using the Kolmogorov Smirnov test. Categorical variables are reported as frequency with percentage. Continuous normally distributed variables are reported as mean ± standard deviation. Continuous non-normally distributed variables are reported as median with interquartile range, or median with range where the sample size is ≤3 people. Demographic characteristics are reported for the whole cohort and separately for people with normal or low SMM (defined as low SMI or low ASM%). Differences in demographic characteristics between the two groups were assessed using the Fisher’s exact test (categorical variables), a Student’s t-test (continuous normally distributed), or Mann–Whitney U test (continuous non-normally distributed). Two-group comparison of blood biomarkers between people with normal or low SMM were evaluated using Mann–Whitney U tests and reported as U statistics, p-values, and effect sizes, calculated using the following equation (36 ):
Absolute r values of 0.2, 0.5, and 0.8 are considered small, moderate and large effect sizes, respectively (37 ). The relationship between serum biomarker concentrations, SMI and ASM% were calculated using Spearman’s rank correlations. It is well-established that age and inflammation influence SMM and some serum biomarkers; people with CHD and low SMM are significantly older than those with normal SMM (38 (link)), whilst albumin and transthyretin concentrations decrease in the presence of inflammation (39 ). Accordingly, we also report non-parametric partial correlations adjusted for age and circulatory hs-CRP concentrations, both separately and together. An r value of <0.3, 0.3–0.5, 0.6–0.8, and >0.8 indicated a poor, fair, moderately strong and very strong associations, respectively (40 ). Scatterplots of associations between SMI and circulatory markers were plotted with linear regression lines. Where a marker was associated with SMI or ASM% or had a significant effect size for low and normal SMM groups, receiver operating characteristic (ROC) curves were used to investigate the sensitivity and specificity of predicting low SMM as the dichotomous ‘state variable’. We report the area under the curve (AUC) with 95% confidence interval (CI) and p-values. The AUC value was interpreted as follows: perfect (1.0), excellent (0.9–0.99), good (0.8–0.89), fair (0.7–0.79), poor (0.51–0.69), and no value (0.5) (41 (link)). The biomarker concentration cut-off points for prediction of low SMM were selected based on the highest combination of sensitivity and specificity values. We plotted ROC curves and determined biomarker cut-off points for the whole cohort and then separately for men only. Due to a small sample, ROC curves could not be plotted for women only. Statistical significance was set at p < 0.05.
Publication 2023
Albumins Biological Markers Blood Circulation C Reactive Protein Inflammation Prealbumin Student Woman
Participants abstained from strenuous exercise 24-h prior to attending their baseline study visit. Resting blood samples were drawn by venepuncture and placed in a refrigerated (4°C) centrifuge at 3,000 revolutions per minute, for 15 min. Albumin, aminotransferases and N-terminal pro-brain natriuretic peptide (NT-proBNP) were analysed at the Hull Royal Infirmary in an accredited biochemistry laboratory, as a single measurement on the day of each blood draw. Calibration and quality controls were conducted in accordance with manufacturer’s guidelines. The ABX Pentra 400 biochemistry auto analyser (Horiba, Montpellier, France) was used to analyse high sensitivity C-reactive protein (hs-CRP) in duplicate, in accordance with the manufacturer’s quality control guidance (4 (link)). Remaining plasma and serum samples were stored at −80°C until analysis.
We analysed serum samples in duplicate using commercial enzyme-linked immunosorbent assay (ELISA) for CAF (Abcam #ab216945) and transthyretin (Abcam #ab108895) and followed their standard instructions for serum analysis. Concentrations of transthyretin and CAF were assessed in duplicate and the average of the two measures reported. We re-analysed samples with a coefficient of variation (CV) >40% and when biomarker concentrations were not within the limits of the standard curve. The CV for the assay analyses of transthyretin and CAF were 7.9 and 5.1%, respectively. Routine health-related serum biomarkers evaluated as part of the CARE CR study are reported elsewhere, including NT-proBNP, hs-CRP, glucose, white cell count, total cholesterol, low-density and high-density lipoprotein cholesterol, estimated glomerular filtration rate and triglycerides (4 (link), 30 (link)).
Normal adult reference values for circulatory markers of interest are:
Publication 2023
Adult Albumins Amino-terminal pro-brain natriuretic peptide Biological Assay Biological Markers BLOOD Blood Circulation Cholesterol C Reactive Protein Enzyme-Linked Immunosorbent Assay Glomerular Filtration Rate Glucose High Density Lipoprotein Cholesterol Leukocyte Count Nesiritide Plasma Prealbumin Serum Transaminases Triglycerides Venipuncture

Top products related to «Prealbumin»

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Transthyretin is a laboratory product manufactured by Merck Group. It is a protein that functions as a transport protein in the body, carrying thyroid hormones and retinol (vitamin A) in the bloodstream. This product is primarily used for research and analytical purposes in various scientific and medical applications.
Sourced in United States
The ZYCY10P3S2T is a plasmid designed for bacterial transformation and protein expression. It contains a T7 promoter, a pUC origin of replication, and antibiotic resistance markers. The plasmid can be used to express recombinant proteins in E. coli host strains.
Sourced in United States, Japan, Germany, United Kingdom, China, Italy, Canada
The AU5800 is a chemistry analyzer designed for high-throughput clinical laboratory testing. It features advanced optics and automation to provide reliable and efficient sample processing. The core function of the AU5800 is to perform a variety of clinical chemistry tests, including immunoassays, on patient samples.
Mini-circle vectors are small, circular DNA molecules designed for efficient gene delivery and expression. They contain the essential elements required for DNA replication and gene expression, without the unnecessary bacterial sequences found in conventional plasmids.
Sourced in Germany, United States, Switzerland, Japan
The Modular Analytics E170 is an automated clinical chemistry analyzer designed for in vitro diagnostic testing. It is a modular system that can be configured to meet the specific needs of a laboratory. The core function of the Modular Analytics E170 is to perform biochemical analyses of patient samples to aid in the diagnosis and monitoring of various medical conditions.
Sourced in United Kingdom
Ab9015 is a lab equipment product manufactured by Abcam. It is designed for use in various research applications. The core function of this product is to provide a reliable and consistent tool for researchers to conduct their experiments.
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The Elecsys 2010 is an automated immunoassay analyzer used for the in vitro determination of various analytes in biological samples. It is designed for high-throughput testing and offers precise and reliable results.
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The Cobas e601 is an automated immunochemistry analyzer used for in vitro diagnostic testing. It is designed to perform a wide range of immunoassay tests, including those for hormones, tumor markers, and infectious diseases. The Cobas e601 utilizes electrochemiluminescence technology to provide accurate and reliable results.
Sourced in Japan, China
The 7600 automatic biochemical analyzer is a laboratory equipment designed to perform automated analysis of biochemical samples. It is capable of conducting various tests and measurements related to the chemical composition of biological samples.

More about "Prealbumin"

Prealbumin, also known as transthyretin (TTR), is a crucial transport protein involved in the circulation and homeostasis of thyroid hormones and retinol-binding protein (RBP).
This small, soluble protein is primarily synthesized in the liver and plays a vital role in maintaining the balance of these important biomolecules.
Prealbumin levels can serve as a valuable marker of nutritional status and may be altered in various disease states, including liver dysfunction, malnutrition, and inflammatory conditions.
Researchers can optimize their prealbumin studies using PubCompare.ai's cutting-edge AI-driven technology, which helps identify the most accurate and reproducible protocols from published literature, preprints, and patents.
This powerful tool enhances research workflows and assists scientists in discovering the best methods and products for their prealbumin investigations.
Synonyms and related terms for prealbumin include transthyretin (TTR), ZYCY10P3S2T, AU5800, Mini-circle vectors, Modular Analytics E170, Ab9015, Elecsys 2010, and Cobas e601.
The 7600 automatic biochemical analyzer is also a relevant instrument for prealbumin analysis.
By leveraging PubCompare.ai's AI-driven comparisons, researchers can streamline their prealbumin studies and ensure they are using the most accurate and reproducible protocols, ultimately enhancing the quality and impact of their research.