ObjectiveTo explore the mechanisms associated with Mahoniae Caulis alkaloids （MA） in ameliorating depression by network pharmacology， molecular docking， and animal experiments. MethodsThe component targets of MA were obtained through Swiss Target Prediction and TCMIP database. The depression targets were collected through TCMIP， Genecards， HPO， DrugBank and OMIM database. The depression targets were collected through TCMIP， Genecards， HPO， DrugBank and OMIM database. Protein-protein interaction （PPI） network was constructed by protein interaction analysis （STRING） database. Gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses were performed through Bioinformatics （DAVID） database. The docking of components and targets was performed by AGFR. The mouse model of depression was established by intraperitoneal injection of corticosterone （CORT） once a day for 35 consecutive days. Sixty mice were randomly allocated into control （0.9% normal saline）， model （CORT， 20 mg·kg^-1）， positive control （fluoxetine hydrochloride， 3.6 mg·kg^-1）， and MA （10， 5， and 2.5 mg·kg^-1） groups. Each group was administrated with corresponding medicine or normal saline once a day for 28 consecutive days. The depression-like behavior of mice was observed. The pathological changes of prefrontal cortex in mice were observed by hematoxylin-eosin staining. Terminal deoxynucleotidyl dUTP transferase nick end labeling （TUNEL） was employed to observe the apoptosis of neurons in the prefrontal cortex. Enzyme-linked immunosorbent assay was employed to assess the serum levels of brain-derived neurotrophic factor （BDNF）， dopamine （DA）， 5-hydroxytryptamine （5-HT）， and norepinephrine （NE） in mice. The mRNA levels of cyclic adenosine monophosphate （cAMP） pathway-related factors and inflammatory factors were determined by Real-time PCR. Western blot was employed to determine the expression of cAMP pathway-related factors and connexin 43 （Cx43）. ResultsA total of 434 component targets and 545 depression targets were obtained， including 84 common targets， among which 10 core targets were screened out. GO analysis predicted 34 biological processes， 15 cell components， and 11 molecular functions. The KEGG pathways were mainly related to gap junction and cAMP signaling pathway. The core components had good binding affinity with the core targets. The results of animal experiments showed that compared with the control group， CORT prolonged the immobility time of mice in forced swimming and tail suspension tests （P<0.01）， lowered the serum levels of NE， BDNF， and 5-HT （P<0.05）， up-regulated the mRNA levels of nuclear factor-κB （NF-κB） and interleukin-6 （IL-6） in the brain tissue （P<0.05）， and down-regulated the mRNA levels of cyclic adenosine monophosphate effector binding protein （CREB） and BDNF （P<0.05） and the protein levels of protein kinase （PRKACA）， phosphorylation （p）-CREB/CREB， BDNF， and Cx43 （P<0.05） in the brain tissue. Compared with the model group， high-dose MA reduced the immobility time of mice in forced swimming （P<0.05） and tail suspension （P<0.01） tests， raised the serum levels of NE， BDNF， and 5-HT （P<0.01）， down-regulated the mRNA level of NF-κB （P<0.01）， and up-regulated the mRNA level of BDNF （P<0.01） and protein levels of PRKACA， p-CREB/CREB， BDNF， and Cx43 （P<0.05）. ConclusionMA alleviates the CORT-induced depressive behavior of mice. It may play an antidepressant role by regulating cAMP signaling pathway and gap junction pathway， improving synaptic plasticity and gap junction function， and reducing neuroinflammation.

ObjectiveTo explore the mechanisms associated with Mahoniae Caulis alkaloids （MA） in ameliorating depression by network pharmacology， molecular docking， and animal experiments. MethodsThe component targets of MA were obtained through Swiss Target Prediction and TCMIP database. The depression targets were collected through TCMIP， Genecards， HPO， DrugBank and OMIM database. The depression targets were collected through TCMIP， Genecards， HPO， DrugBank and OMIM database. Protein-protein interaction （PPI） network was constructed by protein interaction analysis （STRING） database. Gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses were performed through Bioinformatics （DAVID） database. The docking of components and targets was performed by AGFR. The mouse model of depression was established by intraperitoneal injection of corticosterone （CORT） once a day for 35 consecutive days. Sixty mice were randomly allocated into control （0.9% normal saline）， model （CORT， 20 mg·kg^-1）， positive control （fluoxetine hydrochloride， 3.6 mg·kg^-1）， and MA （10， 5， and 2.5 mg·kg^-1） groups. Each group was administrated with corresponding medicine or normal saline once a day for 28 consecutive days. The depression-like behavior of mice was observed. The pathological changes of prefrontal cortex in mice were observed by hematoxylin-eosin staining. Terminal deoxynucleotidyl dUTP transferase nick end labeling （TUNEL） was employed to observe the apoptosis of neurons in the prefrontal cortex. Enzyme-linked immunosorbent assay was employed to assess the serum levels of brain-derived neurotrophic factor （BDNF）， dopamine （DA）， 5-hydroxytryptamine （5-HT）， and norepinephrine （NE） in mice. The mRNA levels of cyclic adenosine monophosphate （cAMP） pathway-related factors and inflammatory factors were determined by Real-time PCR. Western blot was employed to determine the expression of cAMP pathway-related factors and connexin 43 （Cx43）. ResultsA total of 434 component targets and 545 depression targets were obtained， including 84 common targets， among which 10 core targets were screened out. GO analysis predicted 34 biological processes， 15 cell components， and 11 molecular functions. The KEGG pathways were mainly related to gap junction and cAMP signaling pathway. The core components had good binding affinity with the core targets. The results of animal experiments showed that compared with the control group， CORT prolonged the immobility time of mice in forced swimming and tail suspension tests （P<0.01）， lowered the serum levels of NE， BDNF， and 5-HT （P<0.05）， up-regulated the mRNA levels of nuclear factor-κB （NF-κB） and interleukin-6 （IL-6） in the brain tissue （P<0.05）， and down-regulated the mRNA levels of cyclic adenosine monophosphate effector binding protein （CREB） and BDNF （P<0.05） and the protein levels of protein kinase （PRKACA）， phosphorylation （p）-CREB/CREB， BDNF， and Cx43 （P<0.05） in the brain tissue. Compared with the model group， high-dose MA reduced the immobility time of mice in forced swimming （P<0.05） and tail suspension （P<0.01） tests， raised the serum levels of NE， BDNF， and 5-HT （P<0.01）， down-regulated the mRNA level of NF-κB （P<0.01）， and up-regulated the mRNA level of BDNF （P<0.01） and protein levels of PRKACA， p-CREB/CREB， BDNF， and Cx43 （P<0.05）. ConclusionMA alleviates the CORT-induced depressive behavior of mice. It may play an antidepressant role by regulating cAMP signaling pathway and gap junction pathway， improving synaptic plasticity and gap junction function， and reducing neuroinflammation.

The effective local management of oligometastatic non-small cell lung cancer (NSCLC) has the potential to prolong patients' survival. The role of radiotherapy as a local treatment modality in patients with oligometastatic NSCLC, whether as first-line therapy or consolidation therapy, remains uncertain. Several studies have demonstrated that stereotactic ablative radiotherapy can offer clinical benefits for patients with oligometastatic NSCLC without increasing adverse reactions. Furthermore, the exploration of the potential synergistic effects of combining radiotherapy and immunotherapy on extending progression-free survival and overall survival in patients with oligometastatic NSCLC is also a topic worthy of attention.

Objective To observe the impact of cold circulation liquid temperature on ablation focus morphology of microwave ablation(MWA)for in vitro porcine liver tissue.Methods Twenty in vitro fresh porcine liver blocks were randomly divided into ice water circulation group(group A)and normal temperature circulation group(group B),respectively.Ten target ablations in each subgroups in group A and group B,i.e.A1 and B1(50 W,1 min),A2 and B2(50 W,5 min),A3 and B3(60 W,1 min),A4 and B4(60 W,5 min),A5 and B5(70 W,1 min)as well as A6 and B6(70 W,5 min)subgroups were performed using different ablation power(50,60,70 W)and ablation time(1,5 min),respectively.Then the morphology indexes of ablation foci,including longitudinal diameter(LD),transverse diameter(TD),roundness index(RI)and volume(V)were compared between subgroups in group A and B,also among subgroups within group A and B.Results Under the same ablation power and time,LD of ablation foci in subgroups of group A were all smaller than those of group B(all P＜0.05).Significant differences of RI of ablation foci were found between A1 and B1,A2 and B2,A4 and B4,A5 and B5 as well as A6 and B6 subgroups(all P＜0.05),but not between A3 and B3 subgroups(P＞0.05).However,the main effect of cold circulation liquid temperature on ablation focus TD(F=1.125)nor V(F=3.332)was not significant(both P≥0.05).Under the same cold circulation liquid temperature,significant differences of the morphology indexes of ablation foci were detected between A1 and A2,A3 and A4 as well as A5 and A6 subgroups,also between corresponding subgroups in group B(all P＜0.05).Conclusion During MWA for in vitro porcine liver tissue under constant ablation power and time,taken ice water as the cold circulation liquid was benefit to ablation focus shaped spherically.With the extension of ablation time,the larger the ablation focus,the higher the RI.

The promise of regeneration therapy for restoration of damaged myocardium after cardiac ischemic injury relies on targeted delivery of proliferative molecules into cardiomyocytes whose healing benefits are still limited owing to severe immune microenvironment due to local high concentration of proinflammatory cytokines. Optimal therapeutic strategies are therefore in urgent need to both modulate local immunity and deliver proliferative molecules. Here, we addressed this unmet need by developing neutrophil-mimic nanoparticles NM@miR, fabricated by coating hybrid neutrophil membranes with artificial lipids onto mesoporous silica nanoparticles (MSNs) loaded with microRNA-10b. The hybrid membrane could endow nanoparticles with strong capacity to migrate into inflammatory sites and neutralize proinflammatory cytokines and increase the delivery efficiency of microRNA-10b into adult mammalian cardiomyocytes (CMs) by fusing with cell membranes and leading to the release of MSNs-miR into cytosol. Upon NM@miR administration, this nanoparticle could home to the injured myocardium, restore the local immunity, and efficiently deliver microRNA-10b to cardiomyocytes, which could reduce the activation of Hippo-YAP pathway mediated by excessive cytokines and exert the best proliferative effect of miR-10b. This combination therapy could finally improve cardiac function and mitigate ventricular remodeling. Consequently, this work offers a combination strategy of immunity modulation and proliferative molecule delivery to boost cardiac regeneration after injury.

Contemporary college students have low levels of health literacy, facing problems such as weak awareness of health care, unhealthy diet habits, insufficient physical activity, and inadequate emergency response to public health emergencies. The reasons may be related to weak personal awareness of health literacy, imperfect health education system, shortage of health literacy education talents, lack of family health literacy education, and the insufficient social investment in health literacy cultivation. Faced with this current situation, the government, universities, families, individuals, and society should respond to the call of "Healthy China 2030" Plan Outline, regard improving college students’ health literacy level as their own responsibility, help them eliminate or reduce the risk factors affecting health, improve their health literacy level and quality of life, and contribute to the Healthy China strategy.

A 3-week practice-oriented training course on chronic obstructive pulmonary disease (COPD) management was conducted in December 2020, 34 primary care physicians from township or community health service centers attended the course. The impact of the training course on the knowledge levels of COPD management was evaluated with a questionnaire survey, the questionnaire contained the knowledge of COPD and its management. The survey showed that before the training, the participants had low knowledge levels on the definition of COPD and its risk factors; 67.6% (23/34) were not aware of COPD-related guidelines and new developments, and 17.6%(6/34) had conducted COPD follow-up assessments, pulmonary rehabilitation, and health education; only 8.8% (3/34) had used the improved British Medical Research Council Dyspnea Index (mMRC) and the chronic obstructive pulmonary disease assessment test (CAT) for patient self-assessment; there was no pulmonary function instrument in their units, and only 3 doctors (8.8%) had previously participated in pulmonary function training and knew indications and contraindications of the pulmonary function test, and complete report interpretation; all participants were unable to use common inhalation devices and master inhalation techniques completely and correctly; 11.8% (4/34) had assessed patients′ handling inhalation devices and performing inhalation. After the training, the knowledge levels of COPD clinical features, lung function and inhalation technique were significantly improved, and the scores were significantly increased compared with those before the training ( P<0.001). The study shows that primary care physicians have insufficient knowledge and management skill of COPD. The practice-oriented training can significantly improve the knowledge and skills of primary care physician for COPD management in the community.

Objective To effectively use the clinical data generated in daily operation and to realize information networking based on the existing resources of radiotherapy department. To improve quality management efficiency in radiotherapy process. Methods The radiotherapy process and required documents were analyzed. The reporting tool Microsoft Report Builder, which is based on SQL database, was applied to design the patient documents by extracting and analyzing a large number of data generated by Aria, the existing network of our radiotherapy department. PDCA Tools was used to analyze the weak links in the process. Reports with quantitative indices have been designed according to corresponding countermeasures, so as to improve quality control level of the process. Results More than one thousand patients were treated in our department since 2020. All patient documents of radiotherapy can be archived and inquired online after registration only once. 13 daily statistical reports, 5 quarters and 3 annual reports were scheduled according to practical demands. The waiting time before radiotherapy was shortened from 16.2 days to 14.8 days after operating the reporting system 3 months later. The staff could master the treatment progress of patients easily and patients who interrupted the treatment were found in time. Conclusion The reporting tools can realize patient information extraction and networked management effectively in radiotherapy process. Staff efficiency of personnel work and communication was improved. The resource allocation was optimized according to the report data in real time, improving the efficiency and quality of radiotherapy. This method is generally applicable and practical to radiotherapy department.

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.

Objective: To evaluate preoperative nutritional status and inflammatory status by Nutritional Risk Screening-2002 (NRS-2002) and hematologic inflammatory markers in patients with thoracic esophageal squamous cell carcinoma (ESCC), and to explore their effects on long-term survival prognosis. Methods: A total of 113 patients with thoracic ESCC treated by radical resection were grouped for further analysis according to preoperative NRS-2002 score, systemic inflammation score (SIS) and the combination of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio (CNP) score. The progression free survival (PFS) and overall survival (OS) between groups were compared. Multivariate Cox regression analysis was used to determine the independent prognostic factors of patients with thoracic esophageal squamous cell carcinoma, and the interaction analysis of statistically significant factors was carried out. Results: The median PFS was 21 months for all the patients. The 1-year, 3-year and 5-year PFS rates were 69.0%, 25.7% and 23.1%, respectively. Correspondingly, the median OS was 36 months, and the 1-year, 3-year and 5-year OS rates were 95.6%, 46.2% and 29.2%, respectively. Cox univariate analysis showed that T stage, N stage, TNM stage, SIS, CNP score and NRS-2002 score were significantly associated with PFS and OS (all P<0.05), and sex was associated with PFS (P=0.032) in patients with thoracic ESCC. Furthermore, cox multivariate analysis showed that TNM stage (HR=1.570, P=0.039), NRS-2002 score (HR=2.706, P<0.001) and CNP score (HR=1.463, P=0.011) were independent prognosis factors of PFS in patients with thoracic ESCC. In cox model interaction analysis, there was a positive interaction between NRS-2002 score and CNP score (RR=2.789, P<0.001). Conclusion Preoperative NRS-2002 score combined with CNP score are risk factors for prognosis of patients with thoracic ESCC, which can be used as prognostic indicators.