Myeloperoxidase (MPO) and Interleukin-17 (IL-17) Plasma Levels are Increased in Patients with Acute Coronary Syndromes

2009 ◽  
Vol 37 (3) ◽  
pp. 862-866 ◽  
Author(s):  
J Liang ◽  
Z Zheng ◽  
M Wang ◽  
L Han ◽  
Z Zheng ◽  
...  

There are several reports of myeloperoxidase (MPO) playing an important role in acute coronary syndromes (ACS). Interleukin-17 (IL-17) is a pro-inflammatory cytokine produced by activated CD4 T cells that has a chemotactic and activating effect on neutrophils. It has also been shown that IL-17 recruits neutrophils via the release of C-X-C chemokines. The roles of MPO and IL-17 in ACS, however, have not been established. This study measured plasma MPO and IL-17 levels in 10 patients with ACS, 11 age- and sex-matched patients with stable angina and 12 healthy control subjects. Plasma MPO and IL-17 levels were significantly elevated in ACS patients compared with the patients with stable angina and the healthy control subjects. In addition, plasma MPO levels correlated with plasma IL-17 levels in all study participants. It is concluded that MPO and IL-17 are powerful indicators of acute coronary inflammation, however the data set was very small, so larger prospective studies are required.

Author(s):  
Douglas D. Fraser ◽  
Michelle Chen ◽  
Annie Ren ◽  
Michael R. Miller ◽  
Claudio Martin ◽  
...  

Abstract Objectives Severe traumatic brain injury (sTBI) patients suffer high mortality. Accurate prognostic biomarkers have not been identified. In this exploratory study, we performed targeted proteomics on plasma obtained from sTBI patients to identify potential outcome biomarkers. Methods Blood sample was collected from patients admitted to the ICU suffering a sTBI, using standardized clinical and computerized tomography (CT) imaging criteria. Age- and sex-matched healthy control subjects and sTBI patients were enrolled. Targeted proteomics was performed on plasma with proximity extension assays (1,161 proteins). Results Cohorts were well-balanced for age and sex. The majority of sTBI patients were injured in motor vehicle collisions and the most frequent head CT finding was subarachnoid hemorrhage. Mortality rate for sTBI patients was 40%. Feature selection identified the top performing 15 proteins for identifying sTBI patients from healthy control subjects with a classification accuracy of 100%. The sTBI proteome was dominated by markers of vascular pathology, immunity/inflammation, cell survival and macrophage/microglia activation. Receiver operating characteristic (ROC) curve analyses demonstrated areas-under-the-curves (AUC) for identifying sTBI that ranged from 0.870-1.000 (p≤0.005). When mortality was used as outcome, ROC curve analyses identified the top 3 proteins as vWF, WIF-1, and CSF-1. Combining vWF with either WIF-1 or CSF-1 resulted in excellent mortality prediction with AUC of 1.000 for both combinations (p=0.011). Conclusions Targeted proteomics with feature classification and selection distinguished sTBI patients from matched healthy control subjects. Two protein combinations were identified that accurately predicted sTBI patient mortality. Our exploratory findings require confirmation in larger sTBI patient populations.


2001 ◽  
Vol 37 (7) ◽  
pp. 1851-1857 ◽  
Author(s):  
Yuliy Y Chirkov ◽  
Andrew S Holmes ◽  
Scott R Willoughby ◽  
Simon Stewart ◽  
Ronald D Wuttke ◽  
...  

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