The data suggest that stress and anxiety can enhance and prolong AR symptoms. (C) 2008 find more Elsevier Ltd. AR rights reserved.”
“Introduction: It has been suggested that brown adipose tissue (BAT) in humans may play a role in energy balance and obesity. We conducted ex vivo and in vivo evaluation using [C-11]MRB, a highly selective NET (norepinephrine transporter) ligand for BAT imaging at room temperature, which is not achievable with [F-18]FDG.
Methods: PET images of male Sprague-Dawley rats with [F-18]FDG and [C-11]MRB were compared. Relative [F-18]FDG or [C-11]MRB retention at 20, 40 and 60 min post-injection was quantified on awake rats after exposing
to cold (4 degrees C for 4 h) or remaining at room temperature. Rats pretreated with unlabeled MRB or nisoxetine 30 min before [C-11]MRB injection were also assessed.
The [C-11]MRB metabolite profile in BAT was evaluated.
Results: PET imaging demonstrated intense [C-11]MRB uptake (SUV of 2.9 to 3.3) in the interscapular BAT of both room temperature and cold-exposed rats and this uptake was significantly diminished by pretreatment with A-1331852 research buy unlabeled MRB; in contrast, [F-18]FIDG in BAT was only detected in rats treated with cold. Ex vivo results were concordant with the imaging findings; i.e. the uptake of [C-11]MRB in BAT was 3 times higher than that of [F-18]FDG at room temperature (P = 0.009), and the significant cold-stimulated uptake in BAT with [F-18]FDG (10-fold, P = 0.001) was not observed with [C-11]MRB (P = 0.082). HPLC analysis revealed 94%-99% of total radioactivity in BAT represented unchanged Capmatinib mw [C-11]MRB.
Conclusions: Our study demonstrates that BAT could be specifically labeled with [C-11]MRB at
room temperature and under cold conditions, supporting a NET-PET strategy for imaging BAT in humans under basal conditions. (c) 2012 Elsevier Inc. All rights reserved.”
“Objectives: Non small cell lung cancer (NSCLC) is the leading cause of cancer-related mortality. Development of an early diagnosis method may improve survivals. We aimed to develop a new diagnostic model for NSCLC using serum biomarkers.
Methods: We set up a patient group diagnosed with NSCLC (n = 122) and a healthy control group (n = 225). Thirty serum analytes were selected on the basis of previous studies and a literature search. An antibody-bead array of 30 markers was constructed using the Luminex bead array platform (Luminex Inc, Austin, Tex) and was analyzed. Each marker was ranked by importance using the random forest method and then selected. Using selected markers, multivariate classification algorithms were constructed and were validated by application to independent validation cohort of 21 NSCLC and 28 control subjects.
Results: There was no difference in demographics between patients and the control population except for age (64.8 +/- 10.0 for patients vs 53.0 +/- 7.