Therapeutic Efficacy of Head Gusha Combined with Kaitianmen in the Management of Insomnia.

Objective: This study aimed to analyze the therapeutic efficacy of a combined treatment approach involving specialized head scraping (Guasha) in conjunction with Kaitianmen to manage insomnia. Methods: We conducted a study involving 90 individuals with insomnia who received treatment at our hospital between March 2022 and March 2023. These participants were selected and randomly assigned to either a research group (n = 45) or a control group (n = 45). The control group received oral Diazepam (DZ), while the research group underwent specialized head scraping and Kaitianmen therapy. Comparative assessments were made between the two groups, considering clinical efficacy, pre-and post-treatment Traditional Chinese Medicine (TCM) symptom scores, as well as evaluations of sleep quality and negative emotions (NEs) using the Pittsburgh Sleep Quality Index (PSQI) and Self-rating Anxiety/Depression Scale (SAS/SDS), respectively. Additionally, a treatment satisfaction survey was administered at discharge. Results: The research group exhibited a significantly higher overall response rate compared to the control group (P < .05). Both groups displayed substantial reductions in TCM symptom scores, PSQI scores, and SAS/SDS scores following treatment, with the research group achieving even lower scores (P < .05). The treatment satisfaction survey indicated a greater degree of satisfaction among participants in the research group compared to the control group (P < .05). Conclusions: The combination of specialized head scraping and Kaitianmen therapy has demonstrated effectiveness in the treatment of insomnia and offers a valid means of alleviating patients' negative emotions. These findings suggest promising prospects for clinical applications.

Moral distress, moral resilience, and job embeddedness among pediatric nurses.

BACKGROUND: Nurses often face ethical issues in their daily work that can have an impact on their level of job embeddedness. And positive job embeddedness is essential to reduce burnout among nurses and improve professional retention in the medical industry. However, few studies have focused on the relationship between moral distress, moral resilience, and job embeddedness. OBJECTIVES: To investigate the relationship between moral distress, moral resilience, and job embeddedness, and explore the mediating role of moral resilience between moral distress and job embeddedness among nurses. DESIGN: A quantitative, cross-sectional study. METHODS: Nurses from a number of tertiary general hospitals in central China were surveyed and assessed using the Moral Distress Scale, the Nurse Moral Resilience Scale, and the nurse job embeddedness Scale from February to March 2023. The study was conducted in line with the 1964 Declaration of Helsinki. ETHICAL CONSIDERATION: All study procedures were approved by the Ethics Committee of Hunan Normal University (No. 2023-313). FINDINGS: Moral distress was positively correlated with moral resilience (ß = 0.525, p < 0.01) and negatively correlated job embeddedness (ß = -0.470, p < 0.01). Moral resilience partially mediated the relationship between moral distress with job embeddedness (ß = -0.087, p < 0.01). DISCUSSION: The findings reveal a relationship between moral distress, job embeddedness, and moral resilience among nurses. CONCLUSION: Moral distress and moral resilience are important correlates of job embeddedness in nurses. Interventions to reduce moral distress and increase moral resilience may have potential benefits for improving nurses' job embeddedness. It is recommended that clinical nursing administrators create a favorable ethical atmosphere, educate nurses about ethics, and increase nurses' moral resilience.

Massively targeted evaluation of therapeutic CRISPR off-targets in cells.

Methods for sensitive and high-throughput evaluation of CRISPR RNA-guided nucleases (RGNs) off-targets (OTs) are essential for advancing RGN-based gene therapies. Here we report SURRO-seq for simultaneously evaluating thousands of therapeutic RGN OTs in cells. SURRO-seq captures RGN-induced indels in cells by pooled lentiviral OTs libraries and deep sequencing, an approach comparable and complementary to OTs detection by T7 endonuclease 1, GUIDE-seq, and CIRCLE-seq. Application of SURRO-seq to 8150 OTs from 110 therapeutic RGNs identifies significantly detectable indels in 783 OTs, of which 37 OTs are found in cancer genes and 23 OTs are further validated in five human cell lines by targeted amplicon sequencing. Finally, SURRO-seq reveals that thermodynamically stable wobble base pair (rG•dT) and free binding energy strongly affect RGN specificity. Our study emphasizes the necessity of thoroughly evaluating therapeutic RGN OTs to minimize inevitable off-target effects.

Enhancing CRISPR-Cas9 gRNA efficiency prediction by data integration and deep learning.

The design of CRISPR gRNAs requires accurate on-target efficiency predictions, which demand high-quality gRNA activity data and efficient modeling. To advance, we here report on the generation of on-target gRNA activity data for 10,592 SpCas9 gRNAs. Integrating these with complementary published data, we train a deep learning model, CRISPRon, on 23,902 gRNAs. Compared to existing tools, CRISPRon exhibits significantly higher prediction performances on four test datasets not overlapping with training data used for the development of these tools. Furthermore, we present an interactive gRNA design webserver based on the CRISPRon standalone software, both available via https://rth.dk/resources/crispr/ . CRISPRon advances CRISPR applications by providing more accurate gRNA efficiency predictions than the existing tools.