Objective To observe the clinical effects of cognitive behavioral therapy (CBT) combined with pulmonary rehabilitation on the treatment of patients with pneumoconiosis. Methods A total of 108 patients with pneumoconiosis were selected as the research subject using convenient sampling method. They were randomly divided into control group and CBT group, with 54 cases in each group. Patients in the control group were treated with conventional symptomatic treatment and pulmonary rehabilitation treatment for 12 weeks. While patients in the CBT group were treated with CBT treatment in addition to treatments of the control group. The therapeutic effect was analyzed. Results Before treatment, there was no statistical difference on score of Montreal Cognitive Assessment (MoCA), percentage of forced expiratory volume in one second to the predicted value (FEV₁%), forced expiratory volume in one second to force vital capacity ratio (FEV₁/FVC%), score of the Modified Medical Research Council Dyspnea Scale (mMRC), six minute walk distance (6MWD), Hospital Anxiety and Depression Scale (HADS) subscale scores of anxiety (HADS-A) and depression (HADS-D), and scores of Chronic Obstructive Pulmonary Disease Assessment Test (CAT), St. George's Respiratory Questionnaire (SGRQ), and serum levels of leptin, interleukin-6 (IL-6) and C-reactive protein (CRP) between the two groups (all P>0.05). After treatment, the score of MoCA, FEV₁%, FEV₁/FVC% and 6MWD increased (all P<0.05), while the scores of mMRC, HDS-A, HDS-D, CAT and SGRQ decreased (all P<0.05), and the levels of serum leptin, IL-6 and CRP decreased (all P<0.05) in the CBT group compared with the control group. Conclusion The combined treatment of CBT and pulmonary rehabilitation can better improve the cognitive ability, respiratory function, motor function, negative emotion and quality of life, and alleviate inflammatory response in patients with pneumoconiosis. It is of certain clinical application value.

Objective:To investigate the correlation between cardiac polyps and gastroesophageal flap valve (GEFV).Methods:The clinical, endoscopic and pathological data of 349 patients with cardiac polyps (the cardiac polyp group) visiting Affiliated Hospital of Yangzhou University from January 1, 2016 to December 31, 2021 were retrospectively collected, and the same number of non-cardiac polyp patients (the non-cardiac polyp group) were matched in the same period as control according to the propensity score. The clinical, endoscopic and pathological data of the two groups were compared.Results:After matching with propensity score, there were 296 patients in each group, with no significant differences in smoking, acid reflux, heartburn, Helicobacter pylori infection, bile reflux, reflux esophagitis or pancreatitis between the two groups ( P>0.05). Compared with the non-cardiac polyp group, the risk of cardiac polyps increased in GEFV Ⅱ patients ( OR=3.046, 95%CI: 2.100-4.419, P<0.001) and GEFV Ⅲ patients ( OR=4.202, 95%CI: 2.299-7.681, P<0.001). Compared with the non-cardiac polyp group, the risk of cardiac polyps increased in patients with GEFV abnormalities ( OR=2.822, 95%CI: 1.615-4.931, P<0.001). GEFV abnormalities was associated with the cardiac polyp site ( χ2=22.169, P=0.003) and was not significantly associated with cardiac polyp size, number, morphology, intestinal metaplasia of the surrounding mucosa or intraepithelial neoplasia ( P>0.05). Conclusion:The occurrence of cardiac polyps is related to GEFV, and the patients with GEFV abnormalities are more likely to develop cardiac polyps.

Objective To analyze differentially expressed genes and potential microRNA (miRNAs) with diagnostic and therapeutic potential in ulcerative colitis (UC) based on bioinformatics. Methods The chip raw data in GEO database was screened by weighted gene coexpression network analysis. UC related differentially expressed genes were obtained for enrichment analysis. Potential miRNAs associated with differentially expressed genes were predicted based on key genes, and gene-miRNA regulatory networks were constructed. Results A total of 277 differentially expressed genes were screened, of which 200 genes were up-regulated and 77 genes were down-regulated. Gene set enrichment analysis (GSEA) showed that the main enrichment pathways were neuroactive ligand-receptor interaction, leishmania infection, prion disease and electrocardiogram receptor interaction. The results of gene ontology (GO) analysis showed that it was mainly involved in chemokine activity, heparin binding as well as chemokine receptor binding and other items. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the main enrichment pathways were cytokine receptor interaction pathway, phosphatidylinositol-3 kinase/protein kinase B(PI3K-AKT) signaling pathway, chemokine signaling pathway as well as nuclear transcription factor kappa B(NF-κB) signaling pathway and other pathway. A total of 10 hub genes were screened: C-X-C chemokine ligand 8 (CXCL8), Toll-like receptor 2 (TLR2), intercellular adhesion molecule-1 (ICAM-1), selectin L (SELL), C-X-C chemokine receptor type 4 (CXCR4), cytotoxic T lymphocyte associated antigen 4 (CTLA4), cluster of differentiation 69 (CD69), and Biglycan (BGN), C-X-C chemokine ligand 13 (CXCL13), tissue inhibitor of metalloproteinases 1(TIMP1). A total of 12 potentially key miRNAs were identified, they were respectively hsa-mir-335-5p, hsa-mir-146a-5p, hsa-mir-92a-3p, hsa-mir-155-5p, hsa-mir-26b-5p, hsa-mir-4426, hsa-mir-4462b, hsa-mir-4647, hsa-mir-32-5p, hsa-mir-92b-3p, hsa-mir-98-5p and hsa-mir-93-5p, respectively. Conclusion In this study, a total of 277 differentially expressed genes are screened for possible involvement in the development of UC, and 10 hub genes and 12 miRNAs are identified as possible biomarkers for UC.

Objective To propose a new method for mining compatibility rules of traditional Chinese medicine (TCM) formulation from the perspective of weighted projection of bipartite networks, and to predict the combination of new drugs to provide a basis for guiding the clinical treatment of acute nasopharyngitis. Methods Using the acute nasopharyngitis prescription data in the Traditional Chinese Medicine Integrated Database (TCMID) as the data source, a bipartite network is constructed by extracting the prescription and drug nodes.A drug network projection map was then obtained using weighted projection.Social network analysis was performed combined with weighted projection of bipartite networks, and compatibility rules of "Jun-Chen-Zuo-Shi" in TCM via hierachical cluster analysis based on Pearson correlation.Besides, link prediction was used for core drug prediction. Results The combination of bipartite network weighted projection and Pearson correlation for systematic clustering analysis played a significant role in the study of the compatibility rules of TCM prescriptions.In link prediction, 11 link prediction indicators were selected, and weighted and unweighted algorithms were distinguished.The final calculation showed that the area under the curve (AUC) of the weighted indicators were generally higher than that of the unweighted network.Among the weighted indicators, the indicator with the highest AUC index was the network resource allocation Index.A total of 7 groups of drug combinations were predicted, including Baitouweng-Maokezi, Anxixiang-Shijiaocao, Baihuacha-Fuzi, etc. Conclusion The bipartite network weighted projection method is practical and effective in revealing the compatibility rules of TCM and predicting drug combination.

The structures and activities of enzymes are influenced by pH of the environment. Understanding and distinguishing the adaptation mechanisms of enzymes to extreme pH values is of great significance for elucidating the molecular mechanisms and promoting the industrial applications of enzymes. In this study, the ESM-2 protein language model was used to encode the secreted microbial proteins with the optimal performance above pH 9 and below pH 5, which yielded 47 725 high-pH protein sequences and 66 079 low-pH protein sequences, respectively. A deep learning model was constructed to identify protein acid-base tolerance based on amino acid sequences. The model showcased significantly higher accuracy than other methods, with the overall accuracy of 94.8%, precision of 91.8%, and a recall rate of 93.4% on the test set. Furthermore, we built a website (https://enzymepred.biodesign.ac.cn), which enabled users to predict the acid-base tolerance by submitting the protein sequences of enzymes. This study has accelerated the application of enzymes in various fields, including biotechnology, pharmaceuticals, and chemicals. It provides a powerful tool for the rapid screening and optimization of industrial enzymes.
Deep Learning ; Hydrogen-Ion Concentration ; Amino Acid Sequence ; Enzymes/metabolism* ; Sequence Analysis, Protein ; Proteins/metabolism* ; Bacterial Proteins/metabolism*

Objective:To determine the evaluation indexes of national standard strains of genotypes 1, 3 and 5 of Japanese encephalitis virus (JEV) and evaluate the national standard JEV strains.Methods:According to the national standard strain evaluation technical standards of pathogenic microbial bacteria (virus) species, based on the application of Japanese encephalitis virus research, and according to the morphological characteristics, biological characteristics, molecular biological characteristics and other research data to identify the characteristics of G1, G3 and G5 genotypes of JEV.Results:Spherical virus particles with a diameter of about 60 nm were visible under electron microscope of the three Japanese encephalitis virus strains. The cytopathic effect was mainly characterized by cell shrinkage and exfoliation in BHK-21 and Vero cell lines, cell fusion and exfoliation were shown after infection with C6/36 cell line; the virus titer was 10 5-10 7 PFU/ml, and the plaque size was different by genotype. The median lethal dose of intrabitoneal challenge in G1, G3 and G5 JEV in three weeks-old mice was 50.51 PFU, 6.98 PFU, and 8.13 PFU, and the median lethal dose of intracranial challenge in five weeks mice was 3 PFU, 0.3 PFU, 1.35 PFU. The whole genome length of G1, G3 and G5 JEV was 10 967 bp, 10 976 bp and 10 983 bp, respectively. Conclusions:Three genotypic national standard strains of JE V were identified and evaluated by electron microscopy, cell, animal and genome laboratory indexes, which provided reference for the identification and evaluation of other national standard strains of JEV.

OBJECTIVE: To investigate the effectiveness of sagittal top compression reduction technique in the treatment of thoracolumbar vertebral fractures. METHODS: A retrospective analysis was conducted on the clinical data of 59 patients with thoracolumbar vertebral fractures who met the selection criteria and were admitted between November 2018 and January 2022. Among them, 34 patients were treated with sagittal top compression reduction technique (top pressure group), and 25 patients were treated with traditional reduction technique (traditional group). There was no significant difference in baseline data between the two groups ( P>0.05), including gender, age, fracture segment, cause of injury, AO classification of thoracolumbar vertebral fractures, thoracolumbar injury classification and severity (TLICS) score, American Spinal Injury Association (ASIA) grading, surgical approach, preoperative vertebral body index, height ratio of the anterior margin of injured vertebra, injured vertebra angle, segmental kyphosis angle, visual analogue scale (VAS) score, and Oswestry disability index (ODI). The operation time, intraoperative blood loss, and incidence of complications between the two groups were recorded and compared. After operation, VAS score and ODI were used to evaluate effectiveness, and X-ray and CT examinations were performed to measure imaging indicators such as vertebral body index, height ratio of the anterior margin of injured vertebra, injured vertebra angle, and segmental kyphosis angle. RESULTS: There was no significant difference in operation time and intraoperative blood loss between the two groups ( P>0.05). No complication such as dural sac, nerve root, or vascular injury was found during operation, and all incisions healed by first intention. Patients in both groups were followed up 6-48 months, with an average of 20.6 months. No loosening, breakage, or failure of internal fixation occurred during follow-up. The imaging indicators, VAS score, and ODI of the two groups significantly improved at 1 week and last follow-up when compared to preoperative ones ( P<0.05). At last follow-up, the VAS score and ODI further significantly improved when compared to 1 week after operation ( P<0.05). At 1 week after operation and last follow-up, the vertebral body index, segmental kyphosis angle, injured vertebra angle, and ODI in the top pressure group were significantly better than those in the traditional group ( P<0.05). There was no significant difference in VAS score and height ratio of the anterior margin of injured vertebra between the two groups at 1 week after operation ( P>0.05), but the two indicators in the top pressure group were significantly better than those in the traditional group at last follow-up ( P<0.05). CONCLUSION The treatment of thoracolumbar vertebral fractures with sagittal top compression reduction technique can significantly improve the quality of vertebral reduction, and is superior to traditional reduction techniques in relieving pain and improving spinal function.
Humans ; Thoracic Vertebrae/injuries* ; Lumbar Vertebrae/injuries* ; Retrospective Studies ; Blood Loss, Surgical ; Treatment Outcome ; Pedicle Screws ; Spinal Fractures/surgery* ; Kyphosis ; Fracture Fixation, Internal ; Fractures, Compression/surgery*

Objective:To analyze the features of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) co-infected with other common respiratory pathogens among coronavirus disease 2019 (COVID-19) patients in Shanghai City, and to provide a reference for scientific prevention and control of COVID-19 and other respiratory infectious diseases.Methods:Descriptive epidemiological approaches were used to analyze the data of COVID-19 reported cases in Shanghai City from January 2020 to February 2021 in the information system of Chinese Disease Prevention and Control. Clinical data of the participants were collected, and their SARS-CoV-2 nucleic acid-positive respiratory specimens were collected at the time of illness onset or admission. Multiplex reverse transcription-polymerase chain reaction (RT-PCR) was performed to detect the 22 respiratory pathogens. Independent-samples t test was used for statistical analysis. Results:Of the 272 patients with COVID-19, 15(5.5%) had co-infection of SARS-CoV-2 with other respiratory pathogens, all of which were double infection. There were three cases infected with enterovirus/rhinovirus, two of each with adenovirus, human metapneumovirus and coronavirus NL63/HKU1, and one of each with coronavirus 229E, influenza A virus H1N1, parainfluenza virus 1 and respiratory syncytial virus B. Two cases infected with Mycoplasma pneumoniae. Among the 272 COVID-19 patients, 212(77.9%) had fever, 117(43.0%) had cough, 46(16.9%) had fatigue, and 35(12.9%) had sore throat. The white blood cell count of co-infection cases was higher than that of non-co-infection cases ((6.8±1.7)×10 9/L vs (5.3±1.6)×10 9/L), and the difference was statistically significant ( t=3.09, P=0.008). Conclusions:There is a certain proportion of co-infection of SARS-CoV-2 with other respiratory pathogens among the COVID-19 cases in Shanghai City, mainly viral pathogens, especially enterovirus/rhinovirus. A rational combination of drugs was recommended to improve the cure rate. Surveillance of acute respiratory infection should be further strengthened as well.

Objective:To evaluate the performance of the influenza surveillance network and compare the epidemic intensity of influenza during 2014-2020 in Shanghai.Methods:Based on the weekly reports of influenza-like illness (ILI) and laboratory-confirmed influenza cases from January 1, 2014 to December 31, 2020. This study first evaluated the data reporting and specimen collection of ILI cases for each sentinel hospital, and then calculated the percentage of ILI (ILI%), the proportion of specimens tested positive for influenza, and the incidence of influenza among all ILI outpatient and emergency visits to measure the epidemic intensity of influenza. Finally, seasonal autoregressive integrated moving average (ARIMA) model was applied to quantify the changes in epidemic intensity of influenza in 2020.Results:The proportion of influenza surveillance sentinel hospitals with a score of less than 5 in the evaluation of ILI data reporting and samples collection were 9.68% and 21.05% in 2020 in Shanghai, respectively. ILI% was estimated to be 1.51% (95% CI: 1.50%-1.51%) and 2.31% (95% CI: 2.30%-2.32%), respectively for 2014-2019 and 2020; the proportion of specimens tested positive was 24.27% (95% CI: 24.02%- 24.51%) and 7.15% (95% CI: 6.78%-7.54%), respectively; and the incidence of influenza was 3.66‰ (95% CI: 3.62‰-3.70‰) and 1.65‰ (95% CI: 1.57‰-1.74‰), respectively. ARIMA model showed that ILI% was increased by 45.25% in 2020 in Shanghai, and the proportion of specimens tested positive and the incidence of influenza were reduced by 78.45% and 51.80%, respectively. Conclusions:In 2020, the performance of influenza surveillance system has changed, ILI% has increased, the proportion of specimens tested positive and the incidence of influenza has decreased in Shanghai. The change in the quality of influenza surveillance is also a potential factor affecting the epidemic intensity of influenza. In the future, the quality control of influenza surveillance network still needs to be further strengthened.

Objective:To study the infection status and epidemiological characteristics of parainfluenza virus (PIV) in acute respiratory tract infection adult cases in Shanghai from 2015 to 2021, and to provide a scientific basis for preventing and controlling PIV.Methods:Acute respiratory tract infections were collected from 13 hospitals in Shanghai from 2015 to 2021. Relevant information was registered, and respiratory specimens were sampled to detect respiratory pathogens by multiplex PCR.Results:A total of 5 104 adult acute respiratory tract infection cases were included; the overall positive rate of the respiratory pathogens was 29.37% (1 499/5 104). The positive rate of PIV was 2.61% (133/5 104), compared with 2.32% (55/2 369) and 2.85% (78/2 735) in influenza-like cases (ILI) and severe acute respiratory infection (SARI) cases, respectively. Among them, PIV3 accounted for the highest proportion (62.41%, 83/133), followed by PIV1 (18.80%, 25/133), PIV2 (9.77%, 13/133), and PIV4 (9.02%, 12/133). The incidence of PIV-positive cases was mainly distributed in the first and second quarters, accounting for 62.41% (83/133). The difference in the incidence in each quarter was significant ( χ2=24.78, P<0.001). Mixed infection accounted for 18.80% (25/133) of 133 PIV-positive cases, the mixed infection rates of ILI and SARI were 18.18% (10/55) and 19.23% (15/78), respectively, and the main mixed pathogen of PIV was coronavirus 229E. Conclusions:There are a certain proportion of PIV-positive acute respiratory tract infection cases in Shanghai. It is necessary to strengthen the etiological surveillance in acute respiratory tract infection cases, especially the mixed infection of PIV and other pathogens.