Free Thiol ß2-GPI (ß-2-Glycoprotein-I) Provides a Link Between Inflammation and Oxidative Stress in Atherosclerotic Coronary Artery Disease.

OBJECTIVE: Atherosclerotic coronary artery disease is well recognised as an inflammatory disorder that is also influenced by oxidative stress. ß2-GPI (ß-2-glycoprotein-I) is a circulating plasma protein that undergoes post-translational modification and exists in free thiol as well as oxidized forms. The aim of this study was to assess the association between these 2 post-translational redox forms of ß2-GPI and atherosclerotic coronary artery disease. Approach and Results: Stable patients presenting for elective coronary angiography or CT coronary angiography were prospectively recruited. A separate group of patients after reperfused ST-segment-elevation myocardial infarction formed an acute coronary syndrome subgroup. All patients had collection of fasting serum and plasma for quantification of total and free thiol ß2-GPI. Coronary artery disease extent was quantified by the Syntax and Gensini scores. A total of 552 patients with stable disease and 44 with acute coronary syndrome were recruited. While total ß2-GPI was not associated with stable coronary artery disease, a higher free thiol ß2-GPI was associated with its presence and extent. This finding remained significant after correcting for confounding variables, and free thiol ß2-GPI was a better predictor of stable coronary artery disease than hs-CRP (high-sensitivity C-reactive protein). Paradoxically, there were lower levels of free thiol ß2-GPI after ST-segment-elevation myocardial infarction. CONCLUSIONS: Free thiol ß2-GPI is a predictor of coronary artery disease presence and extent in stable patients. Free thiol ß2-GPI was a better predictor than high-sensitivity C-reactive protein.

"Target-lesion" SYNTAX score (tSS) determines radiation dose in percutaneous coronary intervention.

OBJECTIVES: To investigate the correlation between "target-lesion" SYNTAX score (tSS) and radiation dose (RD) and examine the predictive value of tSS and other variables on RD from percutaneous coronary intervention (PCI). BACKGROUND: The complexity of PCI influences procedural RD. The novel tSS was utilized to quantify targeted-PCI complexity. METHODS: We studied 420 consecutive patients who had PCI in our hospital. Two investigators independently measured tSS using the SYNTAX scoring algorithm. Patients were divided into three BMI (kg/m(2) ) subgroups: <25 (normal), 25-30 (overweight), and >30 (obese); and tSS tertiles: <5.5 (simple), 5.5-9 (moderate), and >9 (complex). RESULTS: Obese patients were significantly younger and likely to have diabetes mellitus (DM). tSS positively correlated with RD for both genders, with median RD significantly higher in males (P < 0.0001). tSS correlated with RD in all three BMI subgroups (all P < 0.0001). Multivariate linear regression showed RD can be predicted by the formula: RD = -898 + 18 tSS + 49 BMI + 142 DM + 207 male. CONCLUSIONS: We report that tSS is a quantitative index of "target-lesion" PCI complexity, which is easy to measure with good reproducibility. tSS significantly and independently correlates with RD, although the strength of the association is less than for other predictors of RD (gender, diabetes, and BMI). tSS may be used to determine the RD from PCI and enhance patient risk-stratification when formulating a PCI strategy.

Removal of pharmaceuticals and personal care products using constructed wetlands: effective plant-bacteria synergism may enhance degradation efficiency.

Post-industrial era has witnessed significant advancements at unprecedented rates in the field of medicine and cosmetics, which has led to affluent use of pharmaceuticals and personal care products (PPCPs). However, this has exacerbated the influx of various pollutants in the environment affecting living organisms through multiple routes. Thousands of PPCPs of various classes-prescription and non-prescription drugs-are discharged directly into the environment. In this review, we have surveyed literature investigating plant-based remediation practices to remove PPCPs from the environment. Our specific aim is to highlight the importance of plant-bacteria interplay for sustainable remediation of PPCPs. The green technologies not only are successfully curbing organic pollutants but also have displayed certain limitations. For example, the presence of biologically active compounds within plant rhizosphere may affect plant growth and hence compromise the phytoremediation potential of constructed wetlands. To overcome these hindrances, combined use of plants and beneficial bacteria has been employed. The microbes (both rhizo- and endophytes) in this type of system not only degrade PPCPs directly but also accelerate plant growth by producing growth-promoting enzymes and hence remediation potential of constructed wetlands.