scholarly journals Modulation of C-Reactive Protein–Mediated Monocyte Chemoattractant Protein-1 Induction in Human Endothelial Cells by Anti-Atherosclerosis Drugs

Circulation ◽  
2001 ◽  
Vol 103 (21) ◽  
pp. 2531-2534 ◽  
Author(s):  
Vincenzo Pasceri ◽  
Jed Chang ◽  
James T. Willerson ◽  
Edward T. H. Yeh
2016 ◽  
Vol 80 ◽  
pp. 20-34 ◽  
Author(s):  
M.I. Castiñeiras-Landeira ◽  
B.K. Rodiño-Janeiro ◽  
B. Paradela-Dobarro ◽  
A.L. Batista-Oliveira ◽  
S. Raposeiras-Roubín ◽  
...  

2013 ◽  
Vol 36 (1) ◽  
pp. 24 ◽  
Author(s):  
Vlatka Pandzic Jaksic ◽  
Branimir Gizdic ◽  
Zorana Miletic ◽  
Karmen Trutin-Ostovic ◽  
Ozren Jaksic

Purpose: Monocytes actively participate in inflammatory mechanisms that contribute to the development of adipose tissue dysfunction and atherogenesis. The aim of this study was to evaluate the association of monocyte CCR2 chemokine receptor expression and intracellular oxidative burst with the metabolic and inflammatory factors related to body weight. Methods: The study was performed in 67 postmenopausal women with normal, overweight and obese body mass index. Monocyte CCR2 surface expression and intracellular oxidative burst activity (determined using 2', 7'-dichlorofluorescin diacetate) were analyzed by flow cytometry. Serum levels of HMW adoponectin, monocyte chemoattractant protein-1 (MCP-1), insulin, glucose, lipids and C-reactive protein were determined. Results: Subjects with homeostasis model assessment-estimated insulin resistance (HOMA-IR) above the median had significantly higher proportion of CCR2+ monocytes and higher mean fluorescence intensity (MFI) of CCR2 and oxidative burst. The proportion of CCR2+ monocytes and CCR2 MFI were correlated with body weight, body mass index, fat mass, insulin and HOMA-IR. Oxidative burst also correlated with anthropometric measures, fat mass and expression of CCR2. No correlations were found between these markers of monocyte activation and HMW adiponectin or monocyte chemoattractant protein-1. The absolute number of monocytes was associated with insulin and this association remained significant after adjusting for C-reactive protein. In the multiple regression model the monocyte number was determined to be an independent predictor of insulin level. Conclusion: These results provide support for significant associations of monocyte number and markers involved in monocyte activation with obesity and insulin resistance.


2020 ◽  
Vol 28 (4) ◽  
pp. 419-426
Author(s):  
İlker Ödemiş ◽  
Şükran Köse ◽  
Süheyla Serin Senger ◽  
İlkay Akbulut ◽  
Didem Çelik

AbstractBacteremia in the febrile neutropenic patients significantly increases the mortality. It takes a long time to complete the blood culture for the diagnosis of bacteremia. Therefore, quick and specific markers are needed for the prediction of bacteremia. The purpose of this study are to compare the diagnostic value of lactate, procalcitonin, C-reactive protein (CRP) and monocyte chemoattractant protein-1 (MCP-1) levels in a patient with febrile neutropenia, and to evaluate its usefulness in predicting bacteremia. This study was designed to be prospective case-control study. Forty-eight patients and forty control cases aged 18 years or older who were monitored between May 2016 and May 2017 were included in the study. P-value as <0.05 was accepted to be significant. Significantly increased values were determined by the level of inflammatory markers of patients compared to the control group. The highest diagnostic odds ratio were found to be in MCP-1. For patients with febrile neutropenia, CRP (83.3%), and MCP-1 (81.2%) were the most sensitive markers while lactate (85.0%), MCP-1 (75%), and procalcitonin (75%) were the most specific markers. CRP was the only beneficial biomarker in the estimation of bacteremia. No significant results were observed for any biomarker for the prediction of the gram positive/negative discrimination of bacteria in the blood culture. We believe that CRP, MCP-1, and lactate levels can be taken into consideration for diagnosis, and CRP can be beneficial in the estimation of bacteremia.


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