In this study, we evaluated the bone regenerative capability of a customizable hydroxyapatite (HA) and tricalcium phosphate (TCP) scaffold using a digital light processing (DLP)-type 3D printing system. Twelve healthy adult male beagle dogs were the study subjects. A total of 48 defects were created, with two defects on each side of the mandible in all the dogs. The defect sites in the negative control group (sixteen defects) were left untreated (the NS group), whereas those in the positive control group (sixteen defects) were filled with a particle-type substitute (the PS group). The defect sites in the experimental groups (sixteen defects) were filled with a 3D printed substitute (the 3DS group). Six dogs each were exterminated after healing periods of 4 and 8 weeks. Radiological and histomorphometrical evaluations were then performed. None of the groups showed any specific problems. In radiological evaluation, there was a significant difference in the amount of new bone formation after 4 weeks (p < 0.05) between the PS and 3DS groups. For both of the evaluations, the difference in the total amount of bone after 8 weeks was statistically significant (p < 0.05). There was no statistically significant difference in new bone between the PS and 3DS groups in both evaluations after 8 weeks (p > 0.05). The proposed HA/TCP scaffold without polymers, obtained using the DLP-type 3D printing system, can be applied for bone regeneration. The 3D printing of a HA/TCP scaffold without polymers can be used for fabricating customized bone grafting substitutes.

Background: Retrospective studies using spontaneous reporting system databases have provided a great understanding of adverse drug reactions (ADRs) in the real world, complementing the data obtained from randomized controlled trials. However, there have been few reports on large-scale epidemiological studies on the adverse effects of antipsychotics in Asia. Aim: This study aimed to investigate the characteristics of antipsychotic ADRs using a nationwide pharmacovigilance database. Methods: Data were collected from the Korea Adverse Event Reporting System database between 2010 and 2019. The study subjects were selected using the International Classification of Disease codes for diseases related to psychosis and Electronic Data Interchange codes for amisulpride, aripiprazole, clozapine, haloperidol, olanzapine, paliperidone, quetiapine, risperidone, and ziprasidone. The causality assessment of “possible,” “probable,” or “certain” by the World Health Organization–Uppsala Monitoring Center System causality category was selected. All data were descriptively analyzed. Results: In total, 5067 adverse events associated with antipsychotic drugs were reported. The antipsychotics that commonly resulted in ADRs were quetiapine (47.7%), olanzapine (11.3%), and clozapine (10.7%). Serious ADRs were most commonly observed with clozapine. Gastrointestinal and central nervous system problems occurred within a month when ADRs were classified according to the time of onset. In contrast, metabolic and bone marrow-related symptoms occurred after long-term use. Sedation and nausea were the most common ADRs in children and adolescents, whereas constipation and dizziness were common in adults and the elderly. Conclusions: This study extends our knowledge of antipsychotic ADRs in the Asian population.

Background: Fungal organisms are frequently observed in surgical pathological diagnosis. In order to more accurately identify fungi in formalin-fixed and paraffin-embedded (FFPE) tissues, it is necessary to use genomic information. The purpose of our pilot study is to identify the factors to be considered for the identification of pathogenic fungi using mycobiome analysis in FFPE tissues. Methods: We selected 49 cases in five hospitals.In each case, FFPE tissue was cut into 50 µm and DNA was extracted. Multiplex PCR with four primers (ITS1, ITS2, ITS3 and ITS4) was performed. Multiplex sequencing was performed using MinION device according to the manufacturer's protocol. Sequences of each case were searched using BLASTN with an ITS database from NCBI RefSeq Targeted Loci Project with default parameter. Results: A total of 2,526 DNA nucleotides were sequenced. We were able to identify 342 fungal nucleotides in 24 (49.0%, 24/49) cases. The median value of the detected fungal DNA per case was 3 (1Q: 1 and 3Q: 14.25). The 215 (62.87%) fungal DNA contained the entire region of ITS1 or ITS2. The remaining 127 fungal DNAs were identified as fungi using partial sequence of ITS1, ITS2, 5.8S, LSU or SSU. Conclusion: In conclusion, we have identified the possibility of finding pathogenic fungi through mycobiome analysis in fungal infected FFPE tissues using nanopore sequencing method.However, we have also found several limitations to be solved for further studies. If we develop a method to characterize pathogenic fungi in FFPE tissues in a follow-up study, we think it will help patients to use appropriate antifungal agents.