The possibility of application of CG collage therapy to children and adolscents with psychosomatic disease

われわれはパソコンのディスプレイ上にある様々な絵を貼り付けて作品を制作していくCGコラージュ療法を心理療法として、臨床場面で適用する試みを行っている。本研究ではCGコラージュ療法の実施方法の改良を試み、小児心身症患者へ実施した。その結果、作品制作における操作性が向上し、感情や欲求の発散が容易になった。また継続的に実施する際の作品の変化や、作品に投影された患者の心理を理解しやすくなった。本研究では、CGコラージュ療法が非言語的なコミュニケーションを媒体とする新しい心理治療の１技法として臨床的な適用性を有することが示唆された。CG collage therapy which pieces of work are made by putting various pictures on a display with personal computer has been tried applying to a clinical setting. In this study the method of CG therapy was changed and added, then CG collage therapy with improved method was administrated children with psychosomatic disease. As a result, patients could easily use this software and release their feelings and desires. And change of pieces of work in continue and pieces of work that patients\u27 mind projected on could be easily understood. This study suggested CG collage therapy had clinical application as one technique of new psychotherapy with non-verbal communication

The whole blood transcriptional regulation landscape in 465 COVID-19 infected samples from Japan COVID-19 Task Force

「コロナ制圧タスクフォース」COVID-19患者由来の血液細胞における遺伝子発現の網羅的解析 --重症度に応じた遺伝子発現の変化には、ヒトゲノム配列の個人差が影響する--. 京都大学プレスリリース. 2022-08-23.Coronavirus disease 2019 (COVID-19) is a recently-emerged infectious disease that has caused millions of deaths, where comprehensive understanding of disease mechanisms is still unestablished. In particular, studies of gene expression dynamics and regulation landscape in COVID-19 infected individuals are limited. Here, we report on a thorough analysis of whole blood RNA-seq data from 465 genotyped samples from the Japan COVID-19 Task Force, including 359 severe and 106 non-severe COVID-19 cases. We discover 1169 putative causal expression quantitative trait loci (eQTLs) including 34 possible colocalizations with biobank fine-mapping results of hematopoietic traits in a Japanese population, 1549 putative causal splice QTLs (sQTLs; e.g. two independent sQTLs at TOR1AIP1), as well as biologically interpretable trans-eQTL examples (e.g., REST and STING1), all fine-mapped at single variant resolution. We perform differential gene expression analysis to elucidate 198 genes with increased expression in severe COVID-19 cases and enriched for innate immune-related functions. Finally, we evaluate the limited but non-zero effect of COVID-19 phenotype on eQTL discovery, and highlight the presence of COVID-19 severity-interaction eQTLs (ieQTLs; e.g., CLEC4C and MYBL2). Our study provides a comprehensive catalog of whole blood regulatory variants in Japanese, as well as a reference for transcriptional landscapes in response to COVID-19 infection