Objective To investigate the relationship between the risk perception and nursing working environment with the mental resilience in the emergency department nurses.Methods The convenience sam-pling method was adopted.A total of 577 emergency department nurses in 45 hospitals of Guangdong Province from October to November 2023 were selected as the respondents.The CD-RISC scale,nursing staff risk per-ception questionnaire and nursing work environment scale were used to conduct the survey.The multiple line-ar regression was adopted to analyze the influencing factors of mental resilience in the emergency department nurses.The Pearson correlation was adopted to analyze the correlation between the risk perception and nursing working environment with the mental resilience.Results The gender,age,specialist nurse or not,post,hospi-tal type and hospital level had the effect on the mental resilience in the emergency department nurses (P<0.05).The scores of mental resilience scale in 577 nurses were (86.07±15.95) points and the scoring rate was 68.86％;the scores of nursing staff risk perception questionnaire were (79.38±16.32) points and the scoring rate was 56.70％;the scores of the nursing work environment scale were (93.51±13.25) points and the scoring rate was 75.41％.The multiple linear regression analysis showed that the post was the influencing factor of mental resilience in the emergency department nurses.The results of Pearson correlation analysis showed that the nursing work environment was positively correlated with the mental resilience (r=0.476),and negatively correlated with the risk perception (r=-0.252).Conclusion The hospital nursing managers should pay attention to the influencing factors of mental resilience in the emergency department nurses and fo-cus on three major types of risks affecting physical function,time and occupational exposure of the emergency department nurses to improve the working environment of emergency nursing.

Lipid nanoemulsions are promising nanodrug delivery carriers that can improve the efficacy and safety of paclitaxel(PTX).However,no intravenous lipid emulsion of PTX has been approved for clinical treatment,and systemic safety profiles have not yet been reported.Here we outline the development of a PTX-loaded tumor-targeting intravenous lipid emulsion(PTX Emul)and describe its characteristics,colloidal stability,and systemic safety profiles in terms of acute toxicity,long-term toxicity,and tox-icokinetics.We also compare PTX Emul with conventional PTX injection.Results showed that PTX Emul exhibited an ideal average particle size(approximately 160 nm)with narrow size distribution and robust colloidal stability under different conditions.Hypersensitivity reaction and hemolysis tests revealed that PTX Emul did not induce hypersensitivity reactions and had no hemolytic potential.In addition,where the alleviated systemic toxicity of PTX Emul may be attributed to the altered toxicokinetic characteristics in beagle dogs,including the decreased AUC and increased plasma clearance and volume of distribution,PTX Emul alleviated acute and long-term toxicity as evidenced by the enhanced the median lethal dose and approximate lethal dose,moderate body weight change,decreased bone marrow suppression and organ toxicity compared with those under PTX injection at the same dose.A fundamental understanding of the systemic safety profiles,high tumor-targeting efficiency,and superior antitumor activity in vivo of PTX Emul can provide powerful evidence of its therapeutic potential as a future treatment for breast cancer.

SARS-CoV-2 is a new RNA virus affecting humans and spreads extensively throughout the world since its first outbreak in December,2019.Whether the transmissibility and pathogenicity of SARS-CoV-2 in humans after zoonotic transfer are actively evolving,and driven by adaptation to the new host and environments is still under debate.Understanding the evolutionary mechanism underlying epidemiological and pathological characteristics of COVID-19 is essential for predicting the epidemic trend,and providing guidance for disease control and treatments.Interrogating novel strategies for identifying natural selection using within-species polymorphisms and 3,674,076 SARS-CoV-2 genome sequences of 169 countries as of December 30,2021,we demonstrate with popula-tion genetic evidence that during the course of SARS-CoV-2 pandemic in humans,1)SARS-CoV-2 genomes are overall conserved under purifying selection,especially for the 14 genes related to viral RNA replication,transcription,and assembly;2)ongoing positive selection is actively driving the evolution of 6 genes(e.g.,S,ORF3a,and N)that play critical roles in molecular processes involving pathogen-host interactions,including viral invasion into and egress from host cells,and viral inhi-bition and evasion of host immune response,possibly leading to high transmissibility and mild symptom in SARS-CoV-2 evolution.According to an established haplotype phylogenetic relation-ship of 138 viral clusters,a spatial and temporal landscape of 556 critical mutations is constructed based on their divergence among viral haplotype clusters or repeatedly increase in frequency within at least 2 clusters,of which multiple mutations potentially conferring alterations in viral transmis-sibility,pathogenicity,and virulence of SARS-CoV-2 are highlighted,warranting attention.

Objective:To explore the epidemiologic characteristics and the possible risk factors of microtia in China. Meanwhile, the significant variables related to severe cases are integrated into a predictive nomogram.Methods:A total of 593 patients with congenital microtia from July 2015 to July 2018 were included. Patients conforming to congenital microtia with or without associated malformations were enrolled in this study, and patients with clear chromosomal syndromes were excluded. Questionnaire surveys were conducted among the parents to collect the demographic information and risk factors for exposure during perinatal period. Using Chi-Square and Fisher’s tests to statistically analyze the frequencies of variables. Univariate and multivariate logistic regression analysis were used to select variables related to severe cases for constructing nomogram. Concordance index (C-index), calibration plot, Hosmer-Lemeshow test, and receiver operating characteristics (ROC) curve were used to assess the nomogram model.Results:Of the patients, 456 (76.9%) were male and 137 (23.1%) were female. Right side was involved in 329 cases (55.5%), left side in 217 cases (36.6%) and both sides in 47 cases (7.9%). Among them, 16 cases were familial and the rest were sporadic. Multiple deformations were in 392 cases (66.1%). Maternal illness in early pregnancy( OR=2.205, 95% CI: 1.020-4.020)and parternal drinking history( OR=2.221, 95% CI: 1.329-3.677)were independent risk factors for severe microtia. While mother aged from 26 to 35 years old ( OR=0.507, 95% CI: 0.281-0.913; OR=0.258, 95% CI: 0.125-0.531) and father living in plain area( OR=0.512, 95% CI: 0.288-0.913)may be protective factors. All the significant predictors were combined into a predictive nomogram. The C-index was 0.703(95% CI: 0.646-0.760). The calibration plotshowed good performance of the nomogram, and the model passed Hosmer-Lemeshow goodness-of-fit test ( χ2=4.512, P=0.808). ROC curve analysis revealed a high sensitivity and specificity. Conclusions:The majority of microtia patients are male, sporadic, occur on right side, and often associated with other malformations. This nomogram predicting severe microtia based on multiple parental risk factors was with good discrimination and accuracy, which could provide scientific guidance for individualized prevention in clinical practice.

Objective:To explore the epidemiologic characteristics and the possible risk factors of microtia in China. Meanwhile, the significant variables related to severe cases are integrated into a predictive nomogram.Methods:A total of 593 patients with congenital microtia from July 2015 to July 2018 were included. Patients conforming to congenital microtia with or without associated malformations were enrolled in this study, and patients with clear chromosomal syndromes were excluded. Questionnaire surveys were conducted among the parents to collect the demographic information and risk factors for exposure during perinatal period. Using Chi-Square and Fisher’s tests to statistically analyze the frequencies of variables. Univariate and multivariate logistic regression analysis were used to select variables related to severe cases for constructing nomogram. Concordance index (C-index), calibration plot, Hosmer-Lemeshow test, and receiver operating characteristics (ROC) curve were used to assess the nomogram model.Results:Of the patients, 456 (76.9%) were male and 137 (23.1%) were female. Right side was involved in 329 cases (55.5%), left side in 217 cases (36.6%) and both sides in 47 cases (7.9%). Among them, 16 cases were familial and the rest were sporadic. Multiple deformations were in 392 cases (66.1%). Maternal illness in early pregnancy( OR=2.205, 95% CI: 1.020-4.020)and parternal drinking history( OR=2.221, 95% CI: 1.329-3.677)were independent risk factors for severe microtia. While mother aged from 26 to 35 years old ( OR=0.507, 95% CI: 0.281-0.913; OR=0.258, 95% CI: 0.125-0.531) and father living in plain area( OR=0.512, 95% CI: 0.288-0.913)may be protective factors. All the significant predictors were combined into a predictive nomogram. The C-index was 0.703(95% CI: 0.646-0.760). The calibration plotshowed good performance of the nomogram, and the model passed Hosmer-Lemeshow goodness-of-fit test ( χ2=4.512, P=0.808). ROC curve analysis revealed a high sensitivity and specificity. Conclusions:The majority of microtia patients are male, sporadic, occur on right side, and often associated with other malformations. This nomogram predicting severe microtia based on multiple parental risk factors was with good discrimination and accuracy, which could provide scientific guidance for individualized prevention in clinical practice.

A novel RNA virus, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is responsible for the ongoing outbreak of coronavirus disease 2019 (COVID-19). Population genetic analysis could be useful for investigating the origin and evolutionary dynamics of COVID-19. However, due to extensive sampling bias and existence of infection clusters during the epidemic spread, direct applications of existing approaches can lead to biased parameter estima-tions and data misinterpretation. In this study, we first present robust estimator for the time to the most recent common ancestor (TMRCA) and the mutation rate, and then apply the approach to analyze 12,909 genomic sequences of SARS-CoV-2. The mutation rate is inferred to be 8.69 × 10-4 per site per year with a 95％ confidence interval (CI) of [8.61 × 10-4, 8.77 × 10-4], and the TMRCA of the samples inferred to be Nov 28, 2019 with a 95％ CI of [Oct 20, 2019, Dec 9, 2019]. The results indicate that COVID-19 might originate earlier than and outside of Wuhan Seafood Market. We further demonstrate that genetic polymorphism patterns, including the enrichment of specific haplotypes and the temporal allele frequency trajectories generated from infection clusters, are similar to those caused by evolutionary forces such as natural selection. Our results show that population genetic methods need to be developed to efficiently detangle the effects of sampling bias and infection clusters to gain insights into the evolutionary mechanism ofSARS-CoV-2. Software for implementing VirusMuT can be downloaded at https://bigd.big.ac.cn/biocode/tools/BT007081.

On January 22, 2020, China National Center for Bioinformation (CNCB) released the 2019 Novel Coronavirus Resource (2019nCoVR), an open-access information resource for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). 2019nCoVR features a comprehensive integra-tion of sequence and clinical information for all publicly available SARS-CoV-2 isolates, which are manually curated with value-added annotations and quality evaluated by an automated in-house pipeline. Of particular note, 2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale. It provides all identified variants and their detailed statistics for each virus isolate, and congregates the quality score, functional annotation,and population frequency for each variant. Spatiotemporal change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes available. Moreover, 2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019 (COVID-19), including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC. Furthermore, by linking with relevant databases in CNCB, 2019nCoVR offers data submission services for raw sequence reads and assembled genomes, and data sharing with NCBI. Collectively, SARS-CoV-2 is updated daily to collect the latest information on genome sequences, variants, hap-lotypes, and literature for a timely reflection, making 2019nCoVR a valuable resource for the global research community. 2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/.

OBJECTIVETo detect the expression of transient receptor potential canonical 1 (TRPC1) in a mouse model of ozone-induced lung inflammation and explore its role in lung inflammation.

METHODSIn a mouse model of lung inflammation established by ozone exposure, the expression of TRPC1 in the inflammatory lung tissues was detected by RT-PCR, Wstern blotting and immunohistochemistry.

RESULTSCompared to the control mice, the mice exposed to ozone showed significantly increased expression level of TRPC1 mRNA and protein in the inflammatory lung tissues (P<0.05). Immunohistochemistry showed increased TRPC1 protein expressions in the alveolar epithelial cells, bronchial epithelial cells, and inflammatory cells in the inflammatory lung tissues (P<0.05). The mRNA and protein expression levels of TRPC1 were positively correlated with the counts of white blood cells, macrophages, neutrophils and lymphocytes in the bronchoalveolar lavage fluid of the exposed mice (P<0.01).

CONCLUSIONTRPC1 may play a role in ozone-induced lung inflammation in mice.

Animals ; Bronchoalveolar Lavage Fluid ; Disease Models, Animal ; Gene Expression ; Inflammation ; pathology ; Lung ; metabolism ; pathology ; Mice ; Ozone ; adverse effects ; Pneumonia ; metabolism ; pathology ; RNA, Messenger ; TRPC Cation Channels ; metabolism

Objective To detect the expression of transient receptor potential canonical 1 (TRPC1) in a mouse model of ozone-induced lung inflammation and explore its role in lung inflammation. Methods In a mouse model of lung inflammation established by ozone exposure, the expression of TRPC1 in the inflammatory lung tissues was detected by RT-PCR, Wstern blotting and immunohistochemistry. Results Compared to the control mice, the mice exposed to ozone showed significantly increased expression level of TRPC1 mRNA and protein in the inflammatory lung tissues (P<0.05). Immunohistochemistry showed increased TRPC1 protein expressions in the alveolar epithelial cells, bronchial epithelial cells, and inflammatory cells in the inflammatory lung tissues (P<0.05). The mRNA and protein expression levels of TRPC1 were positively correlated with the counts of white blood cells, macrophages, neutrophils and lymphocytes in the bronchoalveolar lavage fluid of the exposed mice (P<0.01). Conclusion TRPC1 may play a role in ozone-induced lung inflammation in mice.

Objective To detect the expression of transient receptor potential canonical 1 (TRPC1) in a mouse model of ozone-induced lung inflammation and explore its role in lung inflammation. Methods In a mouse model of lung inflammation established by ozone exposure, the expression of TRPC1 in the inflammatory lung tissues was detected by RT-PCR, Wstern blotting and immunohistochemistry. Results Compared to the control mice, the mice exposed to ozone showed significantly increased expression level of TRPC1 mRNA and protein in the inflammatory lung tissues (P<0.05). Immunohistochemistry showed increased TRPC1 protein expressions in the alveolar epithelial cells, bronchial epithelial cells, and inflammatory cells in the inflammatory lung tissues (P<0.05). The mRNA and protein expression levels of TRPC1 were positively correlated with the counts of white blood cells, macrophages, neutrophils and lymphocytes in the bronchoalveolar lavage fluid of the exposed mice (P<0.01). Conclusion TRPC1 may play a role in ozone-induced lung inflammation in mice.