Nanomedicines: From Bench to Bedside and Beyond

Advancing nanomedicines from concept to clinic requires integration of new science with traditional pharmaceutical development. The medical and commercial success of nanomedicines is greatly facilitated when those charged with developing nanomedicines are cognizant of the unique opportunities and technical challenges that these products present. These individuals must also be knowledgeable about the processes of clinical and product development, including regulatory considerations, to maximize the odds for successful product registration. This article outlines these topics with a goal to accelerate the combination of academic innovation with collaborative industrial scientists who understand pharmaceutical development and regulatory approval requirements—only together can they realize the full potential of nanomedicines for patients.     

Reciprocal Peer Support for Post-partum Patients with Diabetes: A Needs Assessment for the Diabetes Buddy Program

While peer support has been investigated in multiple clinical contexts, its application to the postpartum setting is unknown. The aim was to assess acceptability of a postpartum peer support program for women with diabetes. Observational survey-based needs assessment of forty low-income women with diabetes, receiving care at a major medical institution. Mean age and gravidity were 30.7 years and 3.15 ± 1.67 respectively. 45 % expressed interest in a “buddy.” There was no significant difference between groups desiring and not desiring this program. A majority of respondents desired telephone, text messaging, and in-person contacts (79.2, 72.1, 83.8 %), with 72.5 % of patients desiring diabetes-related activities during clinic waiting time. Many women desire a postpartum diabetes reciprocal peer program for support outside of clinician visits. Patients are receptive to educational services during their wait and outside of clinic time, a potentially valuable opportunity to share important health information.     

Effect of obstructive sleep apnoea on retinal microvascular function: a randomised controlled trial

Graefe's Archive for Clinical and Experimental Ophthalmology - Retinal microvascular endothelial dysfunction is thought to be of importance in the development of ocular vascular diseases....     

The use of cadaver models to diagnose rib fractures: A pilot study

Background

In the emergency department, rib fractures are a common finding in patients who sustain chest trauma. Rib fractures may be a sign of significant, underlying pathology, especially in the elderly patients where rib fractures are associated with significant morbidity and mortality. To date, no studies have evaluated the ability of ultrasound to detect rib fractures using cadaver models and subsequently use this model as a teaching tool.

同型半胱氨酸对高血压患者脑卒中复发风险的影响

目的探讨高血压合并脑卒中患者的血浆同型半胱氨酸（Hcy）水平与其他危险因素对于脑卒中复发的影响。 方法分析徐州市中心医院心内科和徐州医科大学附属医院神经外科自2012年5月至2013年12月收治的1623例高血压脑卒中患者的基线资料，中位随访4.9年，根据随访事件中是否发生脑卒中分为复发组（312例）与未复发组（1311例）。Kaplan-Meier生存分析比较不同危险因素脑卒中复发率的差异，单因素与多因素Cox回归模型分析影响脑卒中复发的独立危险因素，以及危险因素之间的交互作用。 结果复发组年龄、空腹血糖、Lg Hcy的水平，以及糖尿病、房颤的患病率均高于未复发组（P<0.05）。Kaplan-Meier生存分析显示，糖尿病、房颤、年龄≥60岁、空腹血糖≥7.0 mmol/L、Hcy≥15 μmol/L的脑卒中复发率明显升高（Log-rank检验，P<0.05）。多因素Cox回归模型分析显示，高龄、Lg Hcy水平升高，以及房颤、糖尿病是脑卒中复发的独立危险因素。Lg Hcy分别与糖尿病、空腹血糖、年龄存在交互作用。 结论血浆Hcy水平升高既是高血压合并脑卒中患者卒中复发的独立危险因素，又通过与糖尿病、高龄、空腹血糖水平升高的交互作用显著增加脑卒中复发风险。     

Assessment of toxicity using dehydrogenases activity and mathematical modeling

Dehydrogenase activity is frequently used to assess the general condition of microorganisms in soil and activated sludge. Many studies have investigated the inhibition of dehydrogenase activity by various compounds, including heavy metal ions. However, the time after which the measurements are carried out is often chosen arbitrarily. Thus, it can be difficult to estimate how the toxic effects of compounds vary during the reaction and when the maximum of the effect would be reached. Hence, the aim of this study was to create simple and useful mathematical model describing changes in dehydrogenase activity during exposure to substances that inactivate enzymes. Our model is based on the Lagergrens pseudo-first-order equation, the rate of chemical reactions, enzyme activity, and inactivation and was created to describe short-term changes in dehydrogenase activity. The main assumption of our model is that toxic substances cause irreversible inactivation of enzyme units. The model is able to predict the maximum direct toxic effect (MDTE) and the time to reach this maximum (T_MDTE). In order to validate our model, we present two examples: inactivation of dehydrogenase in microorganisms in soil and activated sludge. The model was applied successfully for cadmium and copper ions. Our results indicate that the predicted MDTE and T_MDTE are more appropriate than EC₅₀ and IC₅₀ for toxicity assessments, except for long exposure times.