Objective To explore the protective effect of polydatin and its mechanism on secondary liver injury in silicosis rats based on network pharmacology and animal experiments. Methods i) Network pharmacology study. Based on multiple databases, the targets of polydatin effect related to silicosis and liver injury were collected, and the common targets of polydatin-silicosis-liver injury were screened to construct a protein-protein interaction network. Enrichment analyses were performed to identify core targets involved in the effects of polydatin on silicosis-associated secondary liver injury. The mechanism of action of polydatin in relieving silicosis and silicosis-associated secondary liver injury was investigated, in which polydatin served as molecular docking ligand. ii) Animal experimental validation. Specific pathogen free male SD rats were randomly divided into three groups, with 10 rats per group. Rats in the model and intervention groups received 1 mL of a silica suspension at a mass concentration of 50 g/L for modeling using a one-time non-tracheal exposure method. Then rats in the intervention group were injected intraperitoneally with polydatin solution at 30 mg/kg body weight, once daily starting from the first day after silica exposure, whereas rats in the control group received no treatment. Lung and liver histopathology of rats, which were randomly sacrificed on days 28 and 56 post-exposure in both groups, were examined. Biomarkers of liver injury and hepatic oxidative stress were measured, and hepatic expression of nuclear factor erythroid 2-related factor 2 (NRF2) related proteins was detected by Western blotting. Results i) Network pharmacology study results. A total of 137 polydatin-related targets, 14 812 silicosis-related targets, and 3 038 liver injury-related targets were identified, among which 69 were common targets and 28 were key targets. Gene Ontology analysis indicated that the key targets were involved in 1 883 pathways. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis identified 137 pathways related to the targets. Molecular docking showed good binding affinities between polydatin and B-cell lymphoma 2 (BCL2), interleukin 6 (IL-6), tumor necrosis factor (TNF), and NRF2. ii) Animal experimental validation results. Compared with the control group, rats in the model group showed increased collagen deposition in both lung and liver tissues, with hepatic degeneration, necrosis, and inflammatory cell infiltration on days 28 and 56 after silica exposure. The collagen in lung and liver tissues of rats on days 28 and 56 after silica exposure increased in the model group compared with the control group (all P<0.05). Meanwhile, serum alanine aminotransferase and aspartate aminotransferase activities, hepatic lactate dehydrogenase 5 activities and NADPH: quinone oxidoreductase 1 (NQO1) expression in liver tissue increased (all P<0.05), whereas hepatic superoxide dismutase activity and NRF2 expression were decreased (all P<0.05). The level of malondialdehyde and the relative expression of heme oxygenase-1 (HO-1) protein in liver tissue in rat of model group were higher than those in the control group (all P<0.05). These alterations were ameliorated in rats of the intervention group compared with the model group (all P<0.05). Conclusion Polydatin exerts protective effects against secondary liver injury in rats with silicosis. These effects may be mediated by regulation of core targets such as BCL2, IL6, TNF, and NRF2, modulation of inflammatory pathways including TNF and IL17 signaling, and activation of the NRF2/HO-1 pathway, thereby exerting synergistic anti-inflammatory, antioxidant, and antifibrotic effects via the "lung-liver axis".

Objective To explore the effect of microRNA-381-3p(miR-381-3p)/MuRF1 axis on cardiopulmonary injury in hypoxia-induced pulmonary hypertension(HPH)mice and its potential mechanisms.Methods Sixty mice were randomly assigned to four groups:the normal control group(NC),the hypobaric hypoxia-induced pulmonary hypertension(HPH)group,the HPH+agomir control group and the HPH+miR-381-3p agomir analog group(HPH+miR-381-3p agomir),with 15 mice in each group.The HPH mouse model was established using a low-pressure and hypoxic artificial chamber.Three weeks prior to the establishment of the HPH model,miR-381-3p agomir and its corresponding control agomir were prepared by dissolving them in RNA-free phosphate-buffered saline(PBS)according to the experimental requirements.These solutions were administered via tail vein injection at a dose of 10 mg/kg,twice weekly for three consecutive weeks.Right heart function was assessed using echocardiography.Right ventricular systolic pressure(RVSP)was measured via cardiac catheterization.Pulmonary vascular remodeling was evaluated through hematoxylin and eosin(HE)staining.Levels of inflammatory cytokines in bronchoalveolar lavage fluid were quantified using enzyme-linked immunosorbent assay(ELISA).Real-time quantitative fluorescent PCR(RT-qPCR)was employed to analyze the mRNA expression levels of miR-381-3p and MuRF1.Potential targets of miR-381-3p were predicted,and pathway enrichment analysis was conducted.A dual-luciferase reporter gene assay was performed to confirm the direct regulatory effect of miR-381-3p on MuRF1.Results Compared with the NC group,the mRNA expression of miR-381-3p was significantly decreased in both the HPH group and the HPH+agomir control group,whereas the mRNA expression of MuRF1 was significantly increased(P＜0.05).In contrast,compared with the HPH group and the HPH+agomir control group,the mRNA expression of miR-381-3p was significantly increased in the HPH+miR-381-3p agomir group,while the mRNA expression of MuRF1 was significantly decreased(P＜0.05).Additionally,compared with the NC group,RVSP,right ventricular anterior wall thickness(RVAW),right ventricular hypertrophy index(RVHI),right ventricular collagen volume fraction(CVF),distal pulmonary artery wall thickness ratio(WT),pulmonary artery wall area ratio(WA),as well as IL-1β,IL-6 and TNF-α levels in alveolar lavage fluid were significantly increased in the HPH group and the HPH+agomir control group,whereas the right ventricular diameter(RVID)was significantly decreased(P＜0.05).Conversely,compared with the HPH group and the HPH+agomir control group,RVSP,RVAW,RVHI,right ventricular CVF,WT,Wa and RVID were decreased in the HPH+miR-381-3p agomir group,and IL-1β,IL-6,and TNF-α levels of alveolar lavage fluid were significantly decreased(P＜0.05).Furthermore,the downstream target genes of miR-381-3p were predicted in the database,and MuRF1 was a potential target,and the Cytoskeleton in muscle cells ranked first in the significant enrichment of target genes.Compared with WT-MuRF1+mimic control group,the luciferase activity was decreased in the WT-MuRF1+miR-381-3p mimic group(P＜0.05).There was no significant difference in the luciferase activity between the Mut-MuRF1+mimic control group and the Mut-MuRF1+miR-381-3p mimic group.Conclusion Overexpression of miR-381-3p can improve cardiopulmonary injury in HPH mice,and the mechanism may be related to the targeted inhibition of MuRF1 by miR-381-3p.

Objective To understand the epidemiological characteristics of infection in recipients after heart trans-plantation,and provide references for the prevention and control of postoperative infections.Methods Clinical data of 259 heart transplant recipients in a hospital from April 2018 to December 2023 were collected for epidemiological analysis.Results Among 259 heart transplant patients,55 developed 68 episodes of infection during the first hospi-talization after surgery,the incidence of infection was 21.24％,and the case incidence of infection was 26.25％.The main infection sites were lower respiratory tract(n=30,44.12％),blood system(n=21,30.88％),and uri-nary system(n=8,11.76％).Sixty-eight episodes of infections occurred primarily within 10 days after surgery(n=37,54.41％),fo-llowed by within 11-20 days(n=14,20.59％).A total of 74 pathogens were detected from the infected site,mainly Gram-negative bacteria(n=37,50.00％),followed by fungi(n=19,25.68％),Gram-posi-tive bacteria(n=12,16.22％),viruses(n=6,8.11％).The multidrug-resistant rates of Klebsiella pneumoniae,Acinetobacter baumannii,Pseudomonas aeruginosa,and Enterococcus spp.were relatively high(57.1％-100％).During the period from discharge to one year after surgery,31 patients developed 39 episodes of infection,mainly lower respiratory tract infection(n=29,74.36％).Conclusion Heart transplant recipients have a high incidence of postoperative infection,with lower respiratory tract being the main infection site and with a high resistance rate of pathogen.The critical period for infection prevention and control is within 10 days after surgery.

Next generation sequencing (NGS) technology is playing an increasingly important role in the diagnosis of genetic diseases. Whole exome sequencing (WES), which targets the coding regions of the genome, has been widely used in the diagnosis of genetic diseases for its low cost and high efficiency. However, compared to conventional methods, the Next Generation Sequencing (NGS) process is intricate, and there is variability in the expertise of data analysts and variant interpreters, which may lead to inconsistencies in the outcomes. To ensure the quality of testing and enhance the diagnostic rate of diseases, this consensus has provided recommendations regarding the laboratory setup, operational procedures, data analysis, result interpretation, and quality control for WES, with an aim to standardize its application in the detection of genetic disorders.

Objective To explore the application value of the deep learning image reconstruction algorithm(ClearInfinity,CI)combined with high tube voltage and low tube current low-dose computed tomography(LDCT)in lung screening.Methods A total of 216 patients underwent lung screening CT plain scan were selected.Patients were randomly divided into conventional-dose group(A group)and low-dose group(B group).Image reconstructed by using the iterative algorithm(ClearView+,CV)in group A,CV-60％,CI-30％,CI-60％,and CI-90％algorithms in group B.CT value,noise,image quality,and edge detail were conducted with both objective and subjective evaluations.Lung nodules were automatically detected by using computer-aided diagnosis software,and radiation doses were recorded.Results Images reconstructed with the CI showed significantly superior signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)than with the CV(P＜0.05).Additionally,there was a significant correlation in lung nodule detection performance between the CI and the CV(P＜0.05).The effective dose(ED)in group B was reduced by approximately 85.80％compared to group A(P＜0.01).Although the SNR and CNR were highest with CI-90％,the subjective image quality was lower than that of CI-60％.CI-60％and CI-90％showed same performance in lung nodule detection using artificial intelligence(AI)software.Conclusion The application of LDCT scanning protocol using the CI algorithm based on deep learning,combined with high tube voltage and low tube current is feasible for lung screening.It is recommended to use CI-60％in clinical diagnosis to improve the safety and diagnostic confidence of lung CT screening.

Objective:To explore the dynamic change trajectory and influencing factors of postoperative fatigue (POF) in patients with early digestive tract cancer undergoing endoscopic submucosal dissection (ESD), so as to provide theoretical basis for individualized management of such patients.Methods:Using cross-sectional survey and convenient sampling method, the patients who underwent ESD for early cancer of digestive tract in the endoscopic center of the Second Affiliated Hospital of Zhejiang University School of Medicine from January to June 2024 were selected as the research objects. The questionnaires were conducted at 30 min, 24 h, 3 days, 5 days, 7 days after ESD with Christensen's postoperative fatigue score. Spearman test was used to analyze the correlation between pain, insomnia and POF. The latent variable growth model was used to identify the potential categories of POF trajectory, and the influencing factors were analyzed by Logistic regression.Results:A total of 232 patients were finally induded, with ages of 19-94(59.53 ± 13.29) years, including 120 males and 112 femalss. The POF level of patients with early cancer of digestive tract showed a downward trend one week after operation. Three postoperative fatigue trajectories were fitted, 9.05% in moderate or severe fatigue low-speed smooth descent group (C1 group); 32.76% in moderate fatigue first decreased quickly and then slowly group (C2 group) and 58.19% in mild fatigue continuous decline group (C3 group). The result of Logistic regression analysis showed that, compared with C1 group, people without religious beliefs were morelikely to enter C2 group [ β = 1.572, OR = 4.818(1.033 - 22.465), P<0.05]; compared with C3 group, patients with high pain level and severe insomnia degree were likely to enter C1 [ β = 2.621, 0.663, OR were 13.754(2.692 - 70.283) and 1.942(1.429 - 2.638), both P<0.05] and C2 [ β = 2.010, 0.491, OR were 7.464(1.890 - 29.482) and 1.634(1.348 - 1.982), both P<0.05] group. Conclusions:There were three potential types of POF in patients with early digestive tract cancer ESD. Medical staff should pay attention to patients with severe insomnia, intense pain and religious beliefs, and give staged fatigue assessment and individualized intervention, so as to reduce the level of POF and promote rapid recovery.

Objective To explore the application value of the deep learning image reconstruction algorithm(ClearInfinity,CI)combined with high tube voltage and low tube current low-dose computed tomography(LDCT)in lung screening.Methods A total of 216 patients underwent lung screening CT plain scan were selected.Patients were randomly divided into conventional-dose group(A group)and low-dose group(B group).Image reconstructed by using the iterative algorithm(ClearView+,CV)in group A,CV-60％,CI-30％,CI-60％,and CI-90％algorithms in group B.CT value,noise,image quality,and edge detail were conducted with both objective and subjective evaluations.Lung nodules were automatically detected by using computer-aided diagnosis software,and radiation doses were recorded.Results Images reconstructed with the CI showed significantly superior signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)than with the CV(P＜0.05).Additionally,there was a significant correlation in lung nodule detection performance between the CI and the CV(P＜0.05).The effective dose(ED)in group B was reduced by approximately 85.80％compared to group A(P＜0.01).Although the SNR and CNR were highest with CI-90％,the subjective image quality was lower than that of CI-60％.CI-60％and CI-90％showed same performance in lung nodule detection using artificial intelligence(AI)software.Conclusion The application of LDCT scanning protocol using the CI algorithm based on deep learning,combined with high tube voltage and low tube current is feasible for lung screening.It is recommended to use CI-60％in clinical diagnosis to improve the safety and diagnostic confidence of lung CT screening.

Next generation sequencing (NGS) technology is playing an increasingly important role in the diagnosis of genetic diseases. Whole exome sequencing (WES), which targets the coding regions of the genome, has been widely used in the diagnosis of genetic diseases for its low cost and high efficiency. However, compared to conventional methods, the Next Generation Sequencing (NGS) process is intricate, and there is variability in the expertise of data analysts and variant interpreters, which may lead to inconsistencies in the outcomes. To ensure the quality of testing and enhance the diagnostic rate of diseases, this consensus has provided recommendations regarding the laboratory setup, operational procedures, data analysis, result interpretation, and quality control for WES, with an aim to standardize its application in the detection of genetic disorders.

Objective To explore the effect of microRNA-381-3p(miR-381-3p)/MuRF1 axis on cardiopulmonary injury in hypoxia-induced pulmonary hypertension(HPH)mice and its potential mechanisms.Methods Sixty mice were randomly assigned to four groups:the normal control group(NC),the hypobaric hypoxia-induced pulmonary hypertension(HPH)group,the HPH+agomir control group and the HPH+miR-381-3p agomir analog group(HPH+miR-381-3p agomir),with 15 mice in each group.The HPH mouse model was established using a low-pressure and hypoxic artificial chamber.Three weeks prior to the establishment of the HPH model,miR-381-3p agomir and its corresponding control agomir were prepared by dissolving them in RNA-free phosphate-buffered saline(PBS)according to the experimental requirements.These solutions were administered via tail vein injection at a dose of 10 mg/kg,twice weekly for three consecutive weeks.Right heart function was assessed using echocardiography.Right ventricular systolic pressure(RVSP)was measured via cardiac catheterization.Pulmonary vascular remodeling was evaluated through hematoxylin and eosin(HE)staining.Levels of inflammatory cytokines in bronchoalveolar lavage fluid were quantified using enzyme-linked immunosorbent assay(ELISA).Real-time quantitative fluorescent PCR(RT-qPCR)was employed to analyze the mRNA expression levels of miR-381-3p and MuRF1.Potential targets of miR-381-3p were predicted,and pathway enrichment analysis was conducted.A dual-luciferase reporter gene assay was performed to confirm the direct regulatory effect of miR-381-3p on MuRF1.Results Compared with the NC group,the mRNA expression of miR-381-3p was significantly decreased in both the HPH group and the HPH+agomir control group,whereas the mRNA expression of MuRF1 was significantly increased(P＜0.05).In contrast,compared with the HPH group and the HPH+agomir control group,the mRNA expression of miR-381-3p was significantly increased in the HPH+miR-381-3p agomir group,while the mRNA expression of MuRF1 was significantly decreased(P＜0.05).Additionally,compared with the NC group,RVSP,right ventricular anterior wall thickness(RVAW),right ventricular hypertrophy index(RVHI),right ventricular collagen volume fraction(CVF),distal pulmonary artery wall thickness ratio(WT),pulmonary artery wall area ratio(WA),as well as IL-1β,IL-6 and TNF-α levels in alveolar lavage fluid were significantly increased in the HPH group and the HPH+agomir control group,whereas the right ventricular diameter(RVID)was significantly decreased(P＜0.05).Conversely,compared with the HPH group and the HPH+agomir control group,RVSP,RVAW,RVHI,right ventricular CVF,WT,Wa and RVID were decreased in the HPH+miR-381-3p agomir group,and IL-1β,IL-6,and TNF-α levels of alveolar lavage fluid were significantly decreased(P＜0.05).Furthermore,the downstream target genes of miR-381-3p were predicted in the database,and MuRF1 was a potential target,and the Cytoskeleton in muscle cells ranked first in the significant enrichment of target genes.Compared with WT-MuRF1+mimic control group,the luciferase activity was decreased in the WT-MuRF1+miR-381-3p mimic group(P＜0.05).There was no significant difference in the luciferase activity between the Mut-MuRF1+mimic control group and the Mut-MuRF1+miR-381-3p mimic group.Conclusion Overexpression of miR-381-3p can improve cardiopulmonary injury in HPH mice,and the mechanism may be related to the targeted inhibition of MuRF1 by miR-381-3p.

Objective To understand the epidemiological characteristics of infection in recipients after heart trans-plantation,and provide references for the prevention and control of postoperative infections.Methods Clinical data of 259 heart transplant recipients in a hospital from April 2018 to December 2023 were collected for epidemiological analysis.Results Among 259 heart transplant patients,55 developed 68 episodes of infection during the first hospi-talization after surgery,the incidence of infection was 21.24％,and the case incidence of infection was 26.25％.The main infection sites were lower respiratory tract(n=30,44.12％),blood system(n=21,30.88％),and uri-nary system(n=8,11.76％).Sixty-eight episodes of infections occurred primarily within 10 days after surgery(n=37,54.41％),fo-llowed by within 11-20 days(n=14,20.59％).A total of 74 pathogens were detected from the infected site,mainly Gram-negative bacteria(n=37,50.00％),followed by fungi(n=19,25.68％),Gram-posi-tive bacteria(n=12,16.22％),viruses(n=6,8.11％).The multidrug-resistant rates of Klebsiella pneumoniae,Acinetobacter baumannii,Pseudomonas aeruginosa,and Enterococcus spp.were relatively high(57.1％-100％).During the period from discharge to one year after surgery,31 patients developed 39 episodes of infection,mainly lower respiratory tract infection(n=29,74.36％).Conclusion Heart transplant recipients have a high incidence of postoperative infection,with lower respiratory tract being the main infection site and with a high resistance rate of pathogen.The critical period for infection prevention and control is within 10 days after surgery.