Anisodamine hydrobromide ameliorates acute lung injury via inhibiting pyroptosis in murine sepsis model.

OBJECTIVE: Sepsis can have severe implications on lung function, leading to acute lung injury (ALI), a major contributor to sepsis-related mortality. Anisodamine hydrobromide (Ani HBr), a bioactive constituent derived from the root of Scopolia tangutica Maxim, a plant endemic to China, has demonstrated efficacy in treating septic shock. We aim to explore whether Ani HBr can alleviate sepsis-triggered ALI and elucidate the fundamental mechanisms involved. MATERIALS AND METHOD: The protective effects of Ani HBr were assessed in two models: in vitro, lipopolysaccharide (LPS)-stimulated RAW264.7 cells, and in vivo, cecal ligation puncture (CLP)-induced sepsis. To measure the cell viability of RAW264.7 cells after Ani HBr treatment, we used the CCK-8 assay. We quantified the levels of pro-inflammatory cytokines expression using ELISA. We also measured the expression of pyrotosis indicators by quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR), Western blotting, and immunofluorescence. RESULTS: Our study demonstrates that Ani HBr can alleviate pulmonary edema, bleeding, and excessive inflammation induced by CLP. Additionally, it exhibits protective effects against cytotoxicity induced by LPS in RAW264.7 macrophage cells. Furthermore, Ani HBr downregulates the mRNA and protein levels of NLRP3, Caspase-1, GSDMD, IL-18, and IL-1ß in both animal models and cell cultures, thereby inhibiting pyroptosis in a similar mechanism to AC-YVAD-CMK (AYC)'s blockade of Caspase-1. Moreover, Ani HBr suppresses the production and release of proinflammatory cytokines. CONCLUSION: These findings suggest that Ani HBr could serve as a protective agent against sepsis-induced ALI by suppressing pyroptosis.

An important issue of burnout among pre-hospital emergency medical personnel in Chengdu: a cross-sectional study.

OBJECTIVE: This survey aims to comprehensively understand occupational burnout among pre-hospital emergency medical personnel and explore associated risk factors. METHODS: A cross-sectional online survey using a census method was conducted between 15 July, 2023, and ends on 14 August, 2023, in Chengdu, SiChuan province, China. The questionnaire included general demographic information, the Maslach Burnout Inventory-General Survey (MBI-GS) with 15 items, and the Fatigue Scale-14 (FS-14) with 14 items. Univariate analysis was conducted on all variables, followed by multivariate logistic regression models to examine the associations between occupational burnout and the risk factors. RESULTS: A total of 2,299 participants,99.57% completed the survey effectively The participants were from 166 medical institutions in Chengdu, comprising 1,420 nurses (61.50%) and 889 clinical doctors (38.50%). A total of 33.36% participants experienced burnout, predominantly mild (30.27%), followed by moderate (2.78%) and severe (0.3%). Physicians, higher fatigue scores, age, work experience appeared to be related to burnout. Logistic regression models revealed that individuals aged over 50 were less prone to experience burnout compared to medical staff aged 18-30 (OR: 0.269, 95% CI: 0.115-0.627, p = 0.002). Physicians were more prone to experience burnout compared to nursing staff (OR: 0.690, 95% CI: 0.531-0.898, p = 0.006). Those with 0-5 years of experience were more prone to experience burnout compared to those with 6-10 years or over 15 years of experience (OR: 0.734, 95% CI: 0.547-0.986, p = 0.040; OR: 0.559, 95% CI: 0.339-0.924, p = 0.023). Additionally, for each 1-point increase in the fatigue score, the likelihood of burnout in medical staff increased by 1.367 times (OR: 1.367, 95% CI: 1.323-1.412, p < 0.0001). CONCLUSION: Pre-hospital emergency medical personnel demonstrate a notable prevalence of mild job burnout. These results provide a groundwork for future focus on the various stages of job burnout within pre-hospital emergency staff, alerting hospital and departmental managers to promptly address the mental well-being of their personnel and intervene as needed.

Open-loop analog programmable electrochemical memory array.

Emerging memories have been developed as new physical infrastructures for hosting neural networks owing to their low-power analog computing characteristics. However, accurately and efficiently programming devices in an analog-valued array is still largely limited by the intrinsic physical non-idealities of the devices, thus hampering their applications in in-situ training of neural networks. Here, we demonstrate a passive electrochemical memory (ECRAM) array with many important characteristics necessary for accurate analog programming. Different image patterns can be open-loop and serially programmed into our ECRAM array, achieving high programming accuracies without any feedback adjustments. The excellent open-loop analog programmability has led us to in-situ train a bilayer neural network and reached software-like classification accuracy of 99.4% to detect poisonous mushrooms. The training capability is further studied in simulation for large-scale neural networks such as VGG-8. Our results present a new solution for implementing learning functions in an artificial intelligence hardware using emerging memories.

Changes in the epidemiological characteristics of prehospital emergency services before and during the COVID-19 pandemic, Chengdu, 2016-2021.

The coronavirus disease 2019 (COVID-19) brought a healthy crisis all around the world. It's not only affected healthcare utilization, but also some disease's incidence. We collected pre-hospital emergency data in Chengdu from January 2016 to December 2021, and studied the demand for emergency medical services (EMSs), emergency response times (ERTs), and the disease spectrum in the city proper of Chengdu as a whole. A total of 1,122,294 prehospital emergency medical service (EMS) instances met the inclusion criteria. Under the influence of COVID-19, notably in 2020, the epidemiological characteristics of prehospital emergency services in Chengdu were considerably altered. However, as the pandemic was brought under control, they returned to normal or even earlier in 2021.The COVID-19 pandemic had an effect on people's medical care-seeking behavior and the performance of prehospital emergency services. Although the indicators associated with prehospital emergency services eventually recovered as the epidemic was brought under control, they remained marginally different from before the outbreak.

A Retrospective Study on the Use of Chinese Patent Medicine in 24 Medical Institutions for COVID-19 in China.

Objective: This research aims to analyze the application regularity of Chinese patent medicine during the COVID-19 epidemic by collecting the names of the top three Chinese patent medicines used by 24 hospitals in 14 provinces of China in four time periods (January 20-22, February 16-18, March 01-03, April 01-03, 2020), and explore its contribution to combating the disease. Methods: 1) We built a database of the top three Chinese patent medicines used by 24 hospitals. 2) The frequency and efficacy distribution of Chinese patent medicine were analyzed with risk areas, regions, and hospitals of different properties as three factors. 3) Finally, we analyzed the differences in the use of heat-clearing and non-heat-clearing medicines among the three factors (χ2 test) and the correlation between the Chinese patent medicine and COVID-19 epidemic (correlation analysis) with SPSS 23.0 statistical software. Results: 1) The heat-clearing medicine was the main use category nationwide during January 20-22, 2020. Meanwhile, there was a significant difference in the utilization rate of heat-clearing and non-heat-clearing medicine in different risk areas (p < 0.01). 2) The variety of Chinese patent medicine was increased nationwide during February 16-18, 2020, mainly including tonics, blood-activating and resolving-stasis, and heat-clearing medicines. Meanwhile, there was a significant difference in the utilization rate of heat-clearing and non-heat-clearing medicine in the southern and northern regions (p < 0.05). 3) Tonics, and blood-activating and resolving-stasis medicines became the primary use categories nationwide during March 01-03, 2020. 4) The tonics class, and blood-activating and resolving-stasis medicine were still the primary categories nationwide during April 01-03, 2020. Meanwhile, there was a significant difference in the utilization rate of heat-clearing and non-heat-clearing medicine in different risk areas (p < 0.01). Conclusion: Chinese patent medicine has a certain degree of participation in fighting against the COVID-19. The efficacy distribution is related to the risk area, region, and hospital of different properties, among which the risk area is the main influencing factor. It is hoped that future research can further collect the application amount of Chinese patent medicine used in hospitals all over the country, so as to perfectly reflect the relationship between Chinese patent medicine and the epidemic situation.