Solid Phase Synthesis of the Active Center Octapeptide of Candida krusei Cytochrome C Apoprotein

The active center octapeptide of Candida krusei cytochrome C apoprotein, H_2N-Cys-Ala-Glu-Cys-His-Thr-Ile-Glu-OH, was synthesized by the Merrifield method using an automatic peptide synthesizer

Distribution of aquatic mosses in the Soya Coast region, East Antarctica

The distribution of aquatic mosses among 73 lakes in the Soya Coast region, East Antarctica, was surveyed. Two species of mosses, Bryum pseudotriquetrum and Leptobryum sp. were found at the bottom of lakes. B. pseudotriquetrum was found in 38 lakes (52.1%), mainly in freshwater lakes throughout the study area. Leptobryum sp. was found in 26 lakes (35.6%) in a rather restricted area, and mainly in relatively saline lakes

Tegafur-Uracil Plus Gemcitabine Combination Chemotherapy in Patients with Advanced Non-small Cell Lung Cancer Previously Treated with Platinum

BackgroundAn open-label, single-arm prospective study was conducted to evaluate the efficacy and toxicity of the combination of gemcitabine and tegafur-uracil (UFT) in patients with advanced nonsmall-cell lung cancer (NSCLC) after the failure of previous platinum-containing regimens.Patients and MethodsPatients with advanced NSCLC received 200 mg/m2 of UFT twice daily from day 1 through 14 plus 900 mg/m2 of gemcitabine per day via intravenous injection on days 8 and 15. This regimen was repeated every 3 or 4 weeks.ResultsA total of 40 patients were enrolled. Eleven patients (28%; 95% confidence interval [CI], 15–44%) achieved a partial response. The median progression-free survival, median overall survival, and 1-year survival rate were 4.0 months (95% CI, 3.3–6.7 months), 12.6 months (95% CI, 7.0–22.3 months), and 51% (95% CI, 33–66%), respectively. The most common grade 3 or 4 toxicity was neutropenia (38%; 95% CI, 23–54%) and the rate of grade 3 or 4 nonhematologic toxicity remained at less than 5%. A multivariate Cox model showed that adenocarcinoma, nonsmoking history, and good performance status predicted better survival.ConclusionsCombination chemotherapy with UFT and gemcitabine showed a promising effectiveness and acceptable toxicity for patients with platinum-resistant NSCLC

Evaluation of both perfusion and atrophy in multiple system atrophy of the cerebellar type using brain SPECT alone

BACKGROUND: Partial volume effects in atrophied areas should be taken into account when interpreting brain perfusion single photon emission computed tomography (SPECT) images of neurodegenerative diseases. To evaluate both perfusion and atrophy using brain SPECT alone, we developed a new technique applying tensor-based morphometry (TBM) to SPECT. METHODS: After linear spatial normalization of brain perfusion SPECT using (99m)Tc-ethyl cysteinate dimer ((99m)Tc-ECD) to a Talairach space, high-dimension-warping was done using an original (99m)Tc-ECD template. Contraction map images calculated from Jacobian determinants and spatially normalized SPECT images using this high-dimension-warping were compared using statistical parametric mapping (SPM2) between two groups of 16 multiple system atrophy of the cerebellar type (MSA-C) patients and 73 age-matched normal controls. This comparison was also performed in conventionally warped SPECT images. RESULTS: SPM2 demonstrated statistically significant contraction indicating local atrophy and decreased perfusion in the whole cerebellum and pons of MSA-C patients as compared to normal controls. Higher significance for decreased perfusion in these areas was obtained in high-dimension-warping than in conventional warping, possibly due to sufficient spatial normalization to a (99m)Tc-ECD template in high-dimensional warping of severely atrophied cerebellum and pons. In the present high-dimension-warping, modification of tracer activity remained within 3% of the original tracer distribution. CONCLUSIONS: The present new technique applying TBM to brain SPECT provides information on both perfusion and atrophy at the same time thereby enhancing the role of brain perfusion SPEC

A Functional Polymorphism in B and T Lymphocyte Attenuator Is Associated with Susceptibility to Rheumatoid Arthritis

Inhibitory coreceptors are thought to play important roles in maintaining immunological homeostasis, and a defect in the negative signals from inhibitory coreceptors may lead to the development of autoimmune diseases. We have recently identified B and T lymphocyte attenuator (BTLA), a new inhibitory coreceptor expressed on immune cells, and we suggest that BTLA may be involved in the development of autoimmune diseases using BTLA-deficient mice. However, the role of BTLA in the pathogenesis of autoimmune diseases in humans remains unknown. We, therefore, examined the possible association between BTLA and rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and Sjögren's syndrome (SS) by conducting a case-control genetic association study. We found that 590C single-nucleotide polymorphism (SNP) of BTLA gene was significantly associated with susceptibility to RA, but not to SLE or SS. Furthermore, RA patients bearing this 590C SNP developed the disease significantly earlier than the patients without this allele. We also found that BTLA with 590C allele lacked the inhibitory activity on concanavalin A- and anti-CD3 Ab-induced IL-2 production in Jurkat T cells. These results suggest that BTLA is an RA-susceptibility gene and is involved in the protection from autoimmunity in humans

Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data

We sought to verify the reliability of machine learning (ML) in developing diabetes prediction models by utilizing big data. To this end, we compared the reliability of gradient boosting decision tree (GBDT) and logistic regression (LR) models using data obtained from the Kokuho-database of the Osaka prefecture, Japan. To develop the models, we focused on 16 predictors from health checkup data from April 2013 to December 2014. A total of 277,651 eligible participants were studied. The prediction models were developed using a light gradient boosting machine (LightGBM), which is an effective GBDT implementation algorithm, and LR. Their reliabilities were measured based on expected calibration error (ECE), negative log-likelihood (Logloss), and reliability diagrams. Similarly, their classification accuracies were measured in the area under the curve (AUC). We further analyzed their reliabilities while changing the sample size for training. Among the 277,651 participants, 15,900 (7978 males and 7922 females) were newly diagnosed with diabetes within 3 years. LightGBM (LR) achieved an ECE of 0.0018 ± 0.00033 (0.0048 ± 0.00058), a Logloss of 0.167 ± 0.00062 (0.172 ± 0.00090), and an AUC of 0.844 ± 0.0025 (0.826 ± 0.0035). From sample size analysis, the reliability of LightGBM became higher than LR when the sample size increased more than 104. Thus, we confirmed that GBDT provides a more reliable model than that of LR in the development of diabetes prediction models using big data. ML could potentially produce a highly reliable diabetes prediction model, a helpful tool for improving lifestyle and preventing diabetes

The Development of Japanese City\u27s Future Simulation System: My City Forecast

In recent years, the optimization of urban management due to the rapid population decline has been one of the major issues in Japan. Future population estimation and related statistical information, such as the location information of the public facility is now available to open. However, open data utilization in the urban planning field is not advanced in comparison with other countries. We constructed the Web system using FOSS4G that citizens can be the future image of the city to operate on their own. It used mainly below FOSS4G tools; OpenLayers, PostGIS, Pgrouting and Geocolor. The collected data calculated in advance, and the default mode for displaying a simulation result in the 500m mesh unit. In addition to there is a customized mode to be re-calculated using the geodata that citizen is uploading open geospatial data. In the customization mode, to choose the residence induction region arbitrarily, it is possible to more detailed simulation by inputting the future urban areas. We also held a workshop for Japanese citizens the variety of stakeholders, it was also able to get feedback on the functional requirements.For the ordinary citizens are not familiar with GIS, to be able to display an easy-to-understand the future of the region have been evaluated. However, also revealed that the operation of the customized version feels as difficult to use, such as difficult legend of adjustment