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Yoshiteru Takekita,1 Sachie Inoue,2 Kenji Baba,3 Tadashi Nosaka3 1Department of Neuropsychiatry, Kansai Medical University, Osaka, Japan; 2CRECON Medical Assessment Inc, Tokyo, Japan; 3Sumitomo Dainippon Pharma Co, Ltd, Tokyo, JapanCorrespondence: Yoshiteru TakekitaDepartment of Neuropsychiatry, Kansai Medical University, 10-15 Fumizono-Cho, Moriguchi, Osaka 570-8506, JapanTel +81-6-6992-1001Fax +81-6-6992-4846Email takekity@takii.kmu.ac.jpPurpose: The aim of this study was to examine whether there is a difference in the risk of rehospitalization when antipsychotics are classified into two groups treated using drugs with a higher or lower affinity to H1 or α 1 receptors than to D2 receptors (histamine H1 receptors, adrenaline α 1 receptors [HA] high- and HA low-affinity drug group, respectively) based on affinity to receptors related to sedation using a nationwide insurance claims database in Japan.Patients and Methods: We identified eligible patients by the following two criteria: (i) hospitalization due to schizophrenia (International Classification of Disease [ICD]-10 code: F20 or F25) in psychiatric wards between January 1st, 2005 and August 31st, 2017, and (ii) administration of HA high- or HA low-affinity drugs in the next month after discharge from the earliest hospitalization due to schizophrenia (index month). The primary endpoint was rehospitalization due to schizophrenia. The secondary endpoints were (i) involuntary rehospitalization, (ii) concomitant use of anxiolytics/hypnotics, mood stabilizers, and antiparkinsonian drugs, (iii) all-cause death, and (iv) medication discontinuation. Propensity score (PS) matching analysis was applied, and the hazard ratio (HR) of the event rate in the HA high-affinity drug group relative to the HA low-affinity drug group was calculated using Cox’s proportional hazards model.Results: Two thousand nine hundred and forty patients were identified as eligible patients. Among PS-matched patients (819 in each group), the HR in the HA high-affinity drug group compared with the HA low-affinity drug group was 1.018 (0.822– 1.260, P = 0.870). Other outcomes did not differ significantly between the two groups.Conclusion: No significant difference was observed in the rehospitalization risk due to schizophrenia associated with HA high-affinity antipsychotic drugs. Although this study was a retrospective PS-matched cohort study, the possibility of masking of the rehospitalization risk cannot be excluded because more than 80% of the patients were administered an anxiolytic/hypnotic at the time of admission.Keywords: schizophrenia, antipsychotics, sedative effect, rehospitalization, claim database, propensity score matching

Abstract Seeds are continuously exposed to a wide variety of microorganisms in the soil. In addition, seeds contain large amounts of carbon and nitrogen sources that support initial growth after germination. Thus, seeds in the soil can easily promote microbial growth, and seeds are susceptible to decay. Therefore, seed defense against microorganisms is important for plant survival. Seed-microbe interactions are also important issues from the perspective of food production, in seed quality and shelf life. However, seed-microbe interactions remain largely unexplored. In this study, we established a simple and rapid assay system for the antibacterial activity of rice seed crude extracts by colorimetric quantification methods by the reduction of tetrazolium compound. Using this experimental system, the diversity of effects of rice seed extracts on microbial growth was analyzed using Escherichia coli as a bacterial model. We used collections of cultivated rice, comprising 50 accessions of Japanese landraces, 52 accessions of world rice core collections, and of 30 wild Oryza accessions. Furthermore, we attempted to find genetic factors responsible for the diversity by genome-wide association analysis. Our results demonstrate that this experimental system can easily analyze the effects of seed extracts on bacterial growth. It also suggests that there are various compounds in rice seeds that affect microbial growth. Overall, this experimental system can be used to clarify the chemical entities and genetic control of seed-microbe interactions and will open the door for understanding the diverse seed-microbe interactions through metabolites.

Magnetic shielding constants are calculated for the hydrogens and oxygens in the isolated species of H2O, H3O+, and OH- using the coupled Hartree–Fock (CHF) method with gauge invariant atomic orbitals (GIAO). The difference from the H2O shielding is evaluated and compared with the shift relative to water in the gas phase measured experimentally. The calculated relative shift of the H3O+ protons has the same sign as the experimental result, but the shift to low field found experimentally for the OH- proton is not reproduced. [ABSTRACT FROM AUTHOR]