A bold new effort to disrupt every gene in the mouse genome necessitates systematic, interdisciplinary approaches to analyzing patterning defects in the mouse embryo. We present a novel, rapid, and inexpensive method for obtaining high-resolution virtual histology for phenotypic assessment of mouse embryos. Using osmium tetroxide to differentially stain tissues followed by volumetric X-ray computed tomography to image whole embryos, isometric resolutions of 27 μm or 8 μm were achieved with scan times of 2 h or 12 h, respectively, using mid-gestation E9.5–E12.5 embryos. The datasets generated by this method are immediately amenable to state-of-the-art computational methods of organ patterning analysis. This technique to assess embryo anatomy represents a significant improvement in resolution, time, and expense for the quantitative, three-dimensional analysis of developmental patterning defects attributed to genetically engineered mutations and chemically induced embryotoxicity.

Objectives-We sought to identify interest in different modes of self-management support among diabetes patients cared for in public hospitals, and to assess whether demographic or disease-specific factors were associated with patient preferences. We explored the possible role of a perceived communication need in influencing interest in self-management support.Methods-Telephone survey of a random sample of 796 English and Spanish-speaking diabetes patients (esponse rate 47%) recruited from 4 urban US public hospital systems. In multivariate models, we measured the association of race/ ethnicity, primary language, self-reported health literacy, self-efficacy, and diabetes-related factors on patients' interest in three self-management support strategies (telephone support, group medical visits, and internet -based support). We explored the extent to which patients believed that better communication with providers would improve their diabetes control, and whether this perception altered the relationship between patient factors and selfmanagement support acceptance. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. CI 0.33-0.93). African-Americans were more interested than Whites in all 3 self-management support strategies. Patients with limited self-reported health literacy were more likely to be interested in telephone support than those not reporting literacy deficits. Forty percent reported that their diabetes would be better controlled if they communicated better with their health care provider. This perceived communication benefit was independently associated with interest in self-management support (p<0.001), but its inclusion in models did not alter the strengths of the main associations between patient characteristics and self-management support preferences. NIH Public AccessConclusion-Many diabetes patients in safety-net settings report an interest in receiving selfmanagement support, but preferences for modes of delivery of self-management support vary by race/ethnicity, language proficiency, and self-reported health literacy.Practice Implications-Public health systems should consider offering a range of selfmanagement support services to meet the needs of their diverse patient populations. More broad dissemination and implementation of self-management support may help address the unmet need for better provider communication among diabetes patients in these settings.

Background Several prospective studies have evaluated the association between body mass index (BMI) and death risk among patients with diabetes; however, the results have been inconsistent. Methods and Results We performed a prospective cohort study of 19,478 African American and 15,354 white patients with type 2 diabetes. Cox proportional hazards regression models were used to estimate the association of different levels of BMI stratification with all-cause mortality. During a mean follow up of 8.7 years, 4,042 deaths were identified. The multivariable-adjusted (age, sex, smoking, income and type of insurance) hazard ratios (HRs) for all-cause mortality associated with BMI levels (18.5–22.9, 23–24.9, 25–29.9, 30–34.9 [reference group], 35–39.9, and ≥40 kg/m2) at baseline were 2.12 (95% confidence interval [CI] 1.80–2.49), 1.74 (1.46–2.07), 1.23 (1.08–1.41), 1.00, 1.19 (1.03–1.39), and 1.23 (1.05–1.43) for African Americans, and 1.70 (1.42–2.04), 1.51 (1.27–1.80), 1.07 (0.94–1.21), 1.00, 1.07 (0.93–1.23), and 1.20 (1.05–1.38) for whites, respectively. When stratified by age, smoking status, patient types or use of anti-diabetic drugs, a U-shaped association was still present. When BMI was included in the Cox model as a time-dependent variable, the U-shaped association of BMI with all-cause mortality risk did not change. Conclusions The current study indicated a U-shaped association of BMI with all-cause mortality risk among African American and white patients with type 2 diabetes. A significantly increased risk of all-cause mortality was observed among African Americans with BMI<30 kg/m2 and BMI ≥35 kg/m2, and among whites with BMI<25 kg/m2 and BMI ≥40 kg/m2 compared with patients with BMI 30–34.9 kg/m2.

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