A double-blind, randomized, placebo-controlled trial of macrolide in the treatment of chronic rhinosinusitis

Objectives: The antiinflammatory effect of macrolide antibiotics has been well-established, as has their role in the treatment of certain disorders of chronic airway inflammation. Several studies have suggested that long-term, low-dose macrolides may be efficacious in the treatment of chronic rhinosinusitis; however, these studies have lacked a control group. To date, this effect has not been tested in a randomized, placebo-controlled study. Method: The authors conducted a double-blind, randomized, placebo-controlled clinical trial on 64 patients with chronic rhinosinusitis. Subjects received either 150 mg roxithromycin daily for 3 months or placebo. Outcome measures included the Sinonasal Outcome Test-20 (SNOT-20), measurements of peak nasal inspiratory flow, saccharine transit time, olfactory function, nasal endoscopic scoring, and nasal lavage assays for interleukin-8, fucose, and a2-macroglobulin. Results. There were statistically significant improvements in SNOT-20 score, nasal endoscopy, saccharine transit time, and IL-8 levels in lavage fluid (P < .05) in the macrolide group. A correlation was noted between improved outcome measures and low IgE levels. No significant improvements were noted for olfactory function, peak nasal inspiratory flow, or lavage levels for fucose and a2-macroglobulin. No improvement in any outcome was noted in the placebo-treated patients. Conclusion: These findings suggest that macrolides may have a beneficial role in the treatment of chronic rhinosinusitis, particularly in patients with low levels of IgE, and supports the in vitro evidence of their antiinflammatory activity. Additional studies are required to assess their place in clinical practice.

Therapeutic efficacy and safety of chaperonin 10 in patients with rheumatoid arthritis: A double-blind randomised trial

Background Chaperonin 10 (heat shock protein 10, XToll(TM)) has anti-inflammatory properties related to the inhibition of Toll-like receptor signalling pathways. Our aim was to establish whether chaperonin 10 is safe and effective in the treatment of rheumatoid arthritis. Methods in this randomised, double-blind, multicentre study, 23 patients with moderate to severe active rheumatoid arthritis receiving disease-modifying antirheumatic drugs were randomly allocated to three treatment groups receiving intravenous chaperonin 10 twice weekly for 12 weeks at doses of 5 mg (n=8), 7.5 mg (8), or 10 mg (7). The primary outcomes were change in disease activity score (DAS28) and improvement of core disease measures (American College of Rheumatology response score) from baseline to week 12. All analyses were done by intention to treat. This study is registered with the Australian Clinical Trials Registry, number ACTRNO12606000041550. Findings Primary endpoint measures improved from day 14 in all groups and continued to improve to day 84. By end of study, a 20% improvement of core disease measures was seen in six (86%, 95% Cl 43-100), a 50% improvement in four (57%, 14-86), and a 70% improvement in two (29%, 0-57) patients given the highest dose of chaperonin 10. Clinical remission (as defined by a DAS28

Implementing ICA in blind multiuser detection

This paper introduces a blind multiuser detection algorithm for MIMO channels. The receiver is required to separate and recover the information signal of the desired user(s) based on independent component analysis (ICA) of the received sequence. The received sequence is assumed to be independent identically distributed. Experimental results show that the proposed blind ICA multiuser detection works well with a short symbol sequence, even if the channel time span is not accurately estimated. It is concluded that the proposed blind multiuser detection performs better than the conventional matched filters in a noisy environment.

3D protein structure matching by patch signatures

For determining functionality dependencies between two proteins, both represented as 3D structures, it is an essential condition that they have one or more matching structural regions called patches. As 3D structures for proteins are large, complex and constantly evolving, it is computationally expensive and very time-consuming to identify possible locations and sizes of patches for a given protein against a large protein database. In this paper, we address a vector space based representation for protein structures, where a patch is formed by the vectors within the region. Based on our previews work, a compact representation of the patch named patch signature is applied here. A similarity measure of two patches is then derived based on their signatures. To achieve fast patch matching in large protein databases, a match-and-expand strategy is proposed. Given a query patch, a set of small k-sized matching patches, called candidate patches, is generated in match stage. The candidate patches are further filtered by enlarging k in expand stage. Our extensive experimental results demonstrate encouraging performances with respect to this biologically critical but previously computationally prohibitive problem.