Greater osteoporosis educational outreach is desirable among Chinese immigrants in Chinatown, Chicago

Osteoporosis beliefs were assessed in immigrant Chinese women in Chinatown, Chicago. Results from a survey utilizing the Osteoporosis Health Belief Scale showed that women expressed concern about osteoporosis but lacked both knowledge of preventive care and health motivation.

INTRODUCTION

The objective of this study was to assess osteoporosis beliefs in immigrant Chinese women in Chinatown, Chicago.

METHODS

In a community-based health fair, osteoporosis knowledge and self-efficacy among postmenopausal Chinese immigrants were assessed using the translated Osteoporosis Health Belief Scale. Bone mineral density (BMD) was assessed with calcaneal ultrasound.

RESULTS

The study population included 94 women with mean age of 51 +/- 9 years, mean length of residence in the United States of 9 +/- 7 years, and 73% (n = 76) of whom were recent immigrants. Women expressed concern about the seriousness of osteoporosis and their relative susceptibility to osteoporosis. In particular, women with a prior fracture reported higher seriousness to osteoporosis. Nonetheless, women exhibited low health motivation and low awareness of the benefits of calcium and exercise. Bone densitometry results corresponded to a T score of -1.2 +/- 1.5. Multiple regression analysis revealed that a younger age and longer length of residence in the USA were associated with higher BMD.

CONCLUSION

Chinese immigrant women in Chicago exhibit concern regarding osteoporosis, but are unaware of the benefits of calcium and exercise, and exhibit low health motivation. Chinese women in Chinatown lack necessary knowledge about osteoporosis to develop adequate self-efficacy. Public health initiatives should be undertaken among recent immigrant Chinese women.

Procedure volume of gastric cancer resections versus 5-year survival

AIM

We used nationwide, population-based data to examine associations between hospital and surgeon volumes of gastric cancer resections and their patients' short-term and long-term survival likelihood.

METHODS

The study uses 1997-1999 inpatient claims data from Taiwan's National Health Insurance linked to "cause of death" data for 1997-2004. The total cohort of 6909 gastric cancer resection patients were categorized by their surgeon's/hospital's procedure volume, and examined for differences in 6-month mortality and 5-year mortality (post 6 months), by procedure volume, using Cox proportional hazard regressions, adjusting for surgeon, hospital and patient characteristics. We hypothesized that surgeons' case volume and age but not hospital volume will predict short-term and long-term survival.

RESULTS

Adjusted estimates show that increasing surgeon volume predicts better 6-month survival (adjusted mortality hazard ratio = 1.3 for low-volume surgeons relative to very high-volume surgeons; p < 0.01) and 5-year survival (adjusted mortality hazard ratios = 1.3; p < 0.001 for low-volume; 1.2 with p < 0.01 for medium volume) and increasing surgeon's age (adjusted hazards ratio = 1.4 for age < 41 years relative to 41-50 years; p < or = 0.001; 0.8 for > or = 51 years relative to 41-50 years; p < 0.05). In hospital volume regressions, surgeon's age is a consistent and significant predictor, not hospital volume. Findings suggest a key role of experience in surgical skill and sensitivity for early stage diagnosis in gastric cancer survival.

CONCLUSIONS

Although a key study limitation is the lack of cancer stage data, the pattern of findings suggests that experienced surgeons have relatively better survival outcomes among gastric cancer patients.

Evaluation of the Cepheid GeneXpert system for detecting Bacillus anthracis

AIMS

The Cepheid GeneXpert is a four-site, automated sample preparation and real-time PCR detection system. In this study, the capability of the GeneXpert to isolate and detect nucleic acid from Bacillus anthracis Ames spores was assessed.

METHODS AND RESULTS

A four-plex, dried-down bead cartridge containing PCR reagents specific for the pXO1 and pXO2 plasmids as well as sample processing and inhibition controls was evaluated. For B. anthracis Ames spores harbouring pXO1 and pXO2, samples containing 68 CFU per ml (148 spores per ml) were positive in all four replicates. A limited cross-reactivity panel, which included closely related Bacillus species, was also tested to determine the specificity of the pXO1 and pXO2 assays. No cross-reactivity occurred. Further, B. anthracis Sterne spore samples were analysed to compare results when processed using the GeneXpert to those run directly on the Cepheid SmartCycler without sample processing. The GeneXpert detection capability was three logs lower than the SmartCycler indicating the benefit of incorporating a nucleic acid extraction procedure.

CONCLUSIONS

This study demonstrates that the GeneXpert is a rapid and reliable system for simultaneously detecting the B. anthracis virulence plasmids pXO1 and pXO2.

SIGNIFICANCE AND IMPACT OF THE STUDY

The GeneXpert is the only platform currently available that is capable of both nucleic acid purification and real-time PCR detection enclosed within a single system. Further, all sample manipulations are automated, thus reducing errors associated with manual processing.

Preclinical development of a novel inhibitor of oncogenic B-Raf

13056

Background: The discovery of oncogenic B-Raf mutations in a majority of patients with metastatic melanoma, and in many tumors from patients with colorectal cancer and other cancers, presents the opportunity to develop oncogene-selective inhibitors with a favorable safety profile. Methods: Guided by co-crystallography, a novel chemical scaffold has been developed into a series of potent inhibitors of oncogenic B-Raf with selectivity versus wild-type B-Raf. From this series, a potent inhibitor has been chosen as a candidate for development. Results: Consistent with the structure-guided approach, this compound shows pronounced selectivity versus a wide array of over 70 other kinases covering all branches of the kinome. This selectivity translates to a wide cellular therapeutic index: inhibition of proliferation of a panel of cell lines bearing the V600E oncogenic B-Raf mutation occurs at IC50s ranging from 40–400 nM while inhibition of cell lines lacking oncogenic B-Raf occurs at IC50s greater than 6500 nM. This cell-based selectivity for the oncogenic B-Raf is greater than the selectivity shown in biochemical assays, supporting that tumor cells bearing the oncogenic B-Raf protein are more dependent on the MAP kinase pathway. Combination experiments with a series of cytotoxic and targeted clinical anti-cancer agents reveal multiple examples of synergistic inhibition of proliferation in vitro, and this synergy generally appears selectively in oncogenic B-Raf-bearing cells. The good oral bioavailability (F > 70%) allows for prolonged exposure in both rodents and non-rodents. Robust efficacy is evident in a murine COLO205 tumor xenograft model, with once-daily oral dosing at 20 mg/kg over 14 days resulting in > 80% inhibition of tumor growth with no effect on body weight. Conclusions: Since this compound is highly selective and targets a B-Raf variant that is absent in all non-transformed cells, it may have a broad therapeutic index, alone or in combination, for the treatment of patients with V600E oncogenic B-Raf tumors.

[Table: see text]

The TIGR Gene Indices: clustering and assembling EST and known genes and integration with eukaryotic genomes

Although the list of completed genome sequencing projects has expanded rapidly, sequencing and analysis of expressed sequence tags (ESTs) remain a primary tool for discovery of novel genes in many eukaryotes and a key element in genome annotation. The TIGR Gene Indices (http://www.tigr.org/tdb/tgi) are a collection of 77 species-specific databases that use a highly refined protocol to analyze gene and EST sequences in an attempt to identify and characterize expressed transcripts and to present them on the Web in a user-friendly, consistent fashion. A Gene Index database is constructed for each selected organism by first clustering, then assembling EST and annotated cDNA and gene sequences from GenBank. This process produces a set of unique, high-fidelity virtual transcripts, or tentative consensus (TC) sequences. The TC sequences can be used to provide putative genes with functional annotation, to link the transcripts to genetic and physical maps, to provide links to orthologous and paralogous genes, and as a resource for comparative and functional genomic analysis.

Aggressiveness of self-etch adhesives on unground enamel

Manufacturers of mild self-etch adhesives advocate the adjunctive use of phosphoric acid etching when bonding to unground enamel. This study tested the null hypothesis that there is no difference between the recently introduced, more aggressive self-etch adhesives and a total-etch adhesive in bonding to unground enamel. The ultrastructure and microtensile bond strengths (microTBS) of Xeno III (Dentsply) and Simplicity (Apex Dental Materials), bonded to unground enamel, were examined after thermocycling. Clearfil SE Bond (Kuraray), a mild self-etch adhesive, was used as the negative control, and One-Step (BISCO), a total-etch adhesive bonded to phosphoric acid-etched unground enamel, was used as the positive control. Differences in the thickness of enamel hybrid layers were observed and the aggressiveness of apatite dissolution in the four adhesives.

The binding interface database (BID): a compilation of amino acid hot spots in protein interfaces

SUMMARY

To make information about protein interactive function easily accessible, we are mining the primary scientific literature for detailed data about protein interfaces. The Binding Interface Database (BID) organizes the vast amount of protein interaction information into tables, graphical contact maps and descriptive functional profiles. Currently data on 170 interacting protein pairs are available with over 1300 mutations described.

AVAILABILITY

The BID database is freely available at http://tsailab.org/BID/ To have your protein of interest entered, contact Tiffany Fischer (tiffbrink@neo.tamu.edu) or Jerry Tsai at the email below