Effects of Ions on Insulin Aggregation Status and Formation of Insulin Fibrils

<正>It is crucial that maintain the insulin in solution in the monomer state to guarantee its physiological activity.Therefore,it is necessary to find the related ions which are able to promote depolymerization of insulin hexamer,while inhibition of the formation of insulin β-amyloid fibrils.The research on these ions can be a clue to help to improve the bioavailability of insulin formulations and be references for the diagnosis,     

Restoration and protection of brachial plexus injury： hot topics in the last decade

Brachial plexus injury is frequently induced by injuries, accidents or birth trauma. Upper limb function may be partially or totally lost after injury, or left permanently disabled. With the de- velopment of various medical technologies, different types of interventions are used, but their effectiveness is wide ranging. Many repair methods have phasic characteristics, i.e., repairs are done in different phases. This study explored research progress and hot topic methods for pro- tection after brachial plexus injury, by analyzing 1,797 articles concerning the repair of brachial plexus injuries, published between 2004 and 2013 and indexed by the Science Citation Index database. Results revealed that there are many methods used to repair brachial plexus injury, and their effects are varied. Intervention methods include nerve transfer surgery, electrical stimula- tion, cell transplantation, neurotrophic factor therapy and drug treatment. Therapeutic methods in this field change according to the hot topic of research.     

Microelectronic neural bridging of toad nerves to restore leg function

The present study used a microelectronic neural bridge comprised of electrode arrays for neural signal detection, functional electrical stimulation, and a microelectronic circuit including signal amplifying, processing, and functional electrical stimulation to bridge two separate nerves, and to restore the lost function of one nerve. The left leg of one spinal toad was subjected to external mechanical stimulation and functional electrical stimulation driving. The function of the left leg of one spinal toad was regenerated to the corresponding leg of another spinal toad using a microelectronic neural bridge. Oscilloscope tracings showed that the electromyographic signals from controlled spinal toads were generated by neural signals that controlled the spinal toad, and there was a delay between signals. This study demonstrates that microelectronic neural bridging can be used to restore neural function between different injured nerves.     

腹腔镜腹膜内补片植入式疝修补术应用解剖研究

目的腹股沟疝是临床常见的外科疾病,主要以手术治疗为主,而腹股沟疝气的手术治疗是以对腹股沟区的解剖逐步认识而发展的,外科医生对腹股沟的解剖贡献巨大,我们通过临床手术实践发现腹股沟的另一种能很好、安全的运用于IPOM手术的解剖。     

现实主义综述在护理领域的应用进展

介绍现实主义综述的定义、哲学基础和实施步骤，以及该方法学在护理领域的研究范围、应用现状及优势和不足，旨在提高护理研究者对现实主义综述的认识，为开展现实主义的护理相关研究提供思路。     

S-1 monotherapy as second line chemotherapy in advanced gastric cancer patients previously treated with cisplatin/infusional fluorouracil

The treatment choice of advanced gastric carcinoma after failure from first-line therapy is quite limited. To evaluate the efficacy and toxicity of S-1 monotherapy in patients with advanced gastric cancer after failure of first line cisplatin and fluorouracil combination (CF). S-1 monotherapy as a second line treatment was given to the patients who had failed to CF combination in SC-101 study. The efficacy and toxicity of S-1 monotherapy were evaluated exploratory. The results indicated that forty-one patients received S-1 as a second line therapy after disease progression. The overall response rate and disease control rate were 14.6% and 41.5%, respectively. The median progression free survival (PFS) was 5.1 months (ange: 2.9~6.2 month). The median overall survival time was 6.4 months. The survival rates at 6 month and 1 year were 56% and 7.3%, respectively. Grade 3/4 adverse events were uncommonly occurred, including anemia (2.4%), neutropenia (2.4%), thrombocytopenia (4.9%) and rash (2.4%). There were no unexpected or life-threatening toxicities. Only one patient experienced dose reduction due to grade 3 rash. In conclusion, S-1 monotherapy provided a mild response rate and overall survival, and a favorable toxicity profile in the second line setting after the first line failure to cisplatin and fluorouracil combination.     

Association of heart rate and diabetes among 0.5 million adults in the China Kadoorie biobank: Results from observational and Mendelian randomization analyses

Background and aimsObservational studies have associated resting heart rate with incident diabetes. Whether the associations are causal remains unclear. We aimed to examine the shape and strength of the associations and assessed the causal relevance of such associations in Chinese adults.Methods and resultsThe China Kadoorie Biobank enrolled 512,891 adults in China. Cox proportional hazard regression models was conducted to estimate hazard ratios (HRs) for the associations of resting heart rate with type 2 diabetes and total diabetes. Among 92,724 participants, 36 single-nucleotide polymorphisms (SNPs) related to resting heart rate were used to construct genetic risk score. We used Mendelian randomization analyses to make the causal inferences. During a median follow-up of 9 years, 7872 incident type 2 diabetes and 13,349 incident total diabetes were documented. After regression dilution bias adjustment, each 10 bpm higher heart rate was associated with about a 26% higher risk of type 2 diabetes (HR, 1.26 [95% CI, 1.23, 1.29]) and 23% higher risk of total diabetes (HR, 1.23 [95% CI, 1.20, 1.26]). Instrumental variable analyses showed participants at top quintile compared with those at bottom quintile had 30% higher risk for type 2 diabetes (HR, 1.30 [95% CI, 1.17, 1.43]), and 10% higher risk for total diabetes (HR, 1.10 [95% CI, 1.02, 1.20]).ConclusionsThis study provides evidence that resting heart rate is an important risk factor for diabetes risk. The results suggest that novel treatment approaches targeting reduction of high heart rate for incidence of diabetes may be worth further investigation.     

Deep learning for intelligent diagnosis in thyroid scintigraphy

ObjectiveTo construct deep learning (DL) models to improve the accuracy and efficiency of thyroid disease diagnosis by thyroid scintigraphy.MethodsWe constructed DL models with AlexNet, VGGNet, and ResNet. The models were trained separately with transfer learning. We measured each model’s performance with six indicators: recall, precision, negative predictive value (NPV), specificity, accuracy, and F1-score. We also compared the diagnostic performances of first- and third-year nuclear medicine (NM) residents with assistance from the best-performing DL-based model. The Kappa coefficient and average classification time of each model were compared with those of two NM residents.ResultsThe recall, precision, NPV, specificity, accuracy, and F1-score of the three models ranged from 73.33% to 97.00%. The Kappa coefficient of all three models was >0.710. All models performed better than the first-year NM resident but not as well as the third-year NM resident in terms of diagnostic ability. However, the ResNet model provided “diagnostic assistance” to the NM residents. The models provided results at speeds 400 to 600 times faster than the NM residents.ConclusionDL-based models perform well in diagnostic assessment by thyroid scintigraphy. These models may serve as tools for NM residents in the diagnosis of Graves’ disease and subacute thyroiditis.