Plasma Viscosity in Monoclonal Gammopathies and Their Correlation to Immunoglobulin and Plasma Protein Levels

1998 ◽  
Vol 21 (6) ◽  
pp. 492-495
Author(s):  
G. Schott
Keyword(s):  
Plasma Protein ◽  
Plasma Viscosity ◽  
Monoclonal Gammopathies ◽  
Protein Levels

CHANGES IN THROMBIN GENERATION AND ANTITHROMBIN TITER FOLLOWING MASSIVE BLEEDING AND TRANSFUSION IN DOGS

1960 ◽  
Vol 38 (5) ◽  
pp. 475-480 ◽  
Author(s):  
F. C. Monkhouse ◽  
Susan Milojevic
Keyword(s):  
Plasma Protein ◽  
Thrombin Generation ◽  
Massive Bleeding ◽  
Clotting Factors ◽  
Protein Levels ◽  
Flow Fluctuations ◽  
Plasma Fraction ◽  
Dog Plasma ◽  
Total Plasma Protein

Thrombin generation, plasma antithrombin levels, and plasma protein levels were measured in dogs following rapid massive bleeding and transfusion. Three groups of four dogs per group were used. One group was transfused with saline, one with dextran, and one with a plasma fraction. The plasma fraction was prepared from mixed dog plasma by a procedure designed to remove most of the known clotting factors with a minimum of damage to other proteins. The in vivo dilution of blood by transfusion with two volumes of saline or one of plasma fraction increased the rate of thrombin generation. Dilution by transfusion with dextran decreased both rate and amount of thrombin generation. For the first few hours following transfusion with saline, plasma antithrombin increased more rapidly than total plasma protein. This was probably a result of increased lymph flow. Fluctuations in the coagulability of the blood were observed up to 72 hours following bleeding and transfusion. The fluctuations following saline transfusion were less prolonged than when dextran or plasma fraction was used.

scholarly journals Acute Phase Protein Levels and Thymus, Spleen and Plasma Protein Synthesis Rates Differ in Adult and Old Rats

2003 ◽  
Vol 133 (1) ◽  
pp. 215-219 ◽  
Author(s):  
Isabelle Papet ◽  
Dominique Dardevet ◽  
Claire Sornet ◽  
Fabienne Béchereau ◽  
Jacques Prugnaud ◽  
...  
Keyword(s):  
Protein Synthesis ◽  
Acute Phase ◽  
Plasma Protein ◽  
Acute Phase Protein ◽  
Protein Levels ◽  
Phase Protein ◽  
Old Rats

Preoperative Chitinase 3-like-1, Galectin-3, and Activin Aplasma levels: A novel diagnostic panel for colorectal cancer.

2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 546-546
Author(s):  
Hmc Shantha Kumara ◽  
Hiromichi Miyagaki ◽  
Sajith A Herath ◽  
David Gaita ◽  
Xiaohong Yan ◽  
...  
Keyword(s):  
Plasma Protein ◽  
Roc Curve ◽  
Plasma Levels ◽  
Tissue Bank ◽  
Diagnostic Value ◽  
Elective Resection ◽  
Protein Levels ◽  
Median Plasma ◽  
Galectin 3 ◽  
Diagnostic Panel

546 Background: Colorectal cancers (CRC) expressChitinase 3-Like-1(Chi3L1), Galectin-3 (Gal-3) and Activin A (Act-A). Chi3L1, indirectly, via IL8 and MCP-1, promotes tumor angiogenesis and progression. Gal-3 promotes tumor cell invasion and angiogenesis while Act-A supports cancer cell migration. This study’s goal was to assess the diagnostic value of plasma levels of Chi3L1, Gal-3 and Act-A, alone or together, for CRC. Methods: PreOp plasma samples were obtained from consenting CRC and benign pathology (BP) patients (pts) undergoing elective resection (IRB approved tissue bank). Plasma levels of Chi3L1, Gal-3 (ng/ml), and Act-A (pg/ml) were determined via ELISA and reported as median + 95% CI. The receiver operating characteristic (ROC) curve and area under the ROC curve (AUC) were used to evaluate the CRC diagnostic value of single and multiple plasma protein levels. The Mann-Whitney test was used for statistical analysis (significance p<0.05). Results: A total of 118 CRC (81% colon, 19% rectal) and 42 BP pts (adenoma 31%, diverticulitis 53%, other 16%) were studied. The CRC median plasma protein levels were significantly higher vs. the BP group results [Chi3L1: 120.1, CI: 95.0, 146.6 vs. 36.8, CI; 29.3, 44.4; Gal-3: 12.0, CI: 10.5, 13.3 vs. 7.7, CI: 7.2, 9.9; Act-A: 368.0 CI: 341.0, 421.6 vs. 272.1, CI: 196.0, 327.3 [p<0.001 for all]). The AUC value for the ROC curve for Chi3L1, Gal-3 and Act-A were 0.850, 0.724 and 0.734 respectively with 76%, 52% and 38% specificity. The AUC for the combination of these 3 proteins was 0.890 with 88% specificity. Conclusions: Themedian Chi3L1, Gal-3 and Act-1 values in CRC pts were significantly higher (226%, 55% and 35%) then BP levels. The 3 protein combination had improved AUC and specificity vs single protein results and may have value as a diagnostic panel. A larger study is needed.

THE TNF-α SYSTEM BEFORE AND AFTER HEART TRANSPLANTATION: PLASMA PROTEIN LEVELS, mRNA-EXPRESSION, SOLUBLE RECEPTORS AND SERUM BUFFER CAPACITY

1998 ◽  
Vol 65 (Supplement) ◽  
pp. 234
Author(s):  
I. C. van Riemsdijk ◽  
C. C. Baan ◽  
E. H.M. Loonen ◽  
C. J. Hesse ◽  
A. H.M.M. Balk ◽  
...  
Keyword(s):  
Heart Transplantation ◽  
Mrna Expression ◽  
Plasma Protein ◽  
Buffer Capacity ◽  
Soluble Receptors ◽  
Protein Levels ◽  
Tnf Α ◽  
Before And After

scholarly journals A novel BDNF polymorphism affects plasma protein levels in interaction with early adversity in rhesus macaques

2011 ◽  
Vol 36 (3) ◽  
pp. 372-379 ◽  
Author(s):  
Francesca Cirulli ◽  
Andreas Reif ◽  
Sabine Herterich ◽  
K. Peter Lesch ◽  
Alessandra Berry ◽  
...  
Keyword(s):  
Plasma Protein ◽  
Rhesus Macaques ◽  
Early Adversity ◽  
Protein Levels

Plasma proteome changes in subjects with Type 2 diabetes mellitus with a low or high early insulin response

2008 ◽  
Vol 114 (7) ◽  
pp. 499-507 ◽  
Author(s):  
Tea Sundsten ◽  
Björn Zethelius ◽  
Christian Berne ◽  
Peter Bergsten
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Plasma Protein ◽  
Plasma Proteins ◽  
Insulin Response ◽  
Β Cell ◽  
Protein Levels ◽  
Early Insulin Response

Circulating proteins contribute to the pathogenesis of T2DM (Type 2 diabetes mellitus) in various ways. The aim of the present study was to investigate variations in plasma protein levels in subjects with T2DM and differences in β-cell function, characterized by the EIR (early insulin response), and to compare these protein levels with those observed in individuals with NGT (normal glucose tolerance). Ten subjects with NGT+high EIR, ten with T2DM+high EIR, and ten with T2DM+low EIR were selected from the community-based ULSAM (Uppsala Longitudinal Study of Adult Men) cohort. Plasma protein profiling was performed using SELDI-TOF (surface-enhanced laser-desorption ionization–time-of-flight) MS. In total, nine plasma proteins differed between the three study groups (P<0.05, as determined by ANOVA). The levels of two forms of transthyretin, haemoglobin α-chain and haemoglobin β-chain were decreased in plasma from subjects with T2DM compared with subjects with NGT, irrespective of the EIR of the subjects. Apolipoprotein H was decreased in plasma from individuals with T2DM+high EIR compared with subjects with NGT. Four additional unidentified plasma proteins also varied in different ways between the experimental groups. In conclusion, the proteins detected in the present study may be related to the development of β-cell dysfunction.

scholarly journals The Metabolic Syndrome, Inflammation, and Colorectal Cancer Risk: An Evaluation of Large Panels of Plasma Protein Markers Using Repeated, Prediagnostic Samples

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Sophia Harlid ◽  
Robin Myte ◽  
Bethany Van Guelpen
Keyword(s):  
Colorectal Cancer ◽  
Metabolic Syndrome ◽  
Plasma Protein ◽  
Overweight And Obesity ◽  
Low Grade ◽  
Protein Markers ◽  
Intervention Programme ◽  
Large Panels ◽  
Protein Levels ◽  
The Metabolic Syndrome

Metabolic syndrome (MetS), a set of metabolic risk factors including obesity, dysglycemia, and dyslipidemia, is associated with increased colorectal cancer (CRC) risk. A putative biological mechanism is chronic, low-grade inflammation, both a feature of MetS and a CRC risk factor. However, excess body fat also induces a proinflammatory state and increases CRC risk. In order to explore the relationship between MetS, body size, inflammation, and CRC, we studied large panels of inflammatory and cancer biomarkers. We included 138 participants from the Västerbotten Intervention Programme with repeated sampling occasions, 10 years apart. Plasma samples were analyzed for 178 protein markers by proximity extension assay. To identify associations between plasma protein levels and MetS components, linear mixed models were fitted for each protein. Twelve proteins were associated with at least one MetS component, six of which were associated with MetS score. MetS alone was not related to any protein. Instead, BMI displayed by far the strongest associations with the biomarkers. One of the 12 MetS score-related proteins (FGF-21), also associated with BMI, was associated with an increased CRC risk (OR 1.71, 95% CI 1.19–2.47). We conclude that overweight and obesity, acting through both inflammation and other mechanisms, likely explain the MetS-CRC connection.

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