The immunomodulatory， repair， and regeneration-promoting functions of mesenchymal stem cells make them one of the potential treatment methods for liver diseases. At present， viral and non-viral delivery methods have been developed to genetically modify mesenchymal stem cells， and gene modification can promote the survival， homing， and cytokine secretion of mesenchymal stem cells， thereby enhancing the ability of mesenchymal stem cells to treat liver diseases. This article mainly summarizes the research advances in gene-modified mesenchymal stem cells in the treatment of liver diseases， in order to provide new insights and strategies for the clinical treatment of liver diseases.

Sheep pox is widespread worldwide and is the most severe animal pox virus infection. This study aimed to identify the key microRNAs (miRNAs) differentially expressed in the exosomes of sheep poxvirus-infected cells and their target genes and related pathways and provide a theoretical basis for an in-depth understanding of the molecular mechanisms of sheep poxvirus-infected cells. In this study, the differentially expressed miRNAs were verified by quantitative polymerase chain reaction (qPCR), and the target genes of miRNAs were predicted and analyzed by bioinformatics. The qPCR results showed that the expression trends of oar-miR-21, oar-miR-10b, oar-let-7f, oar-let-7b, and oar-miR-221 were consistent with the sequencing results. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes results showed that differentially expressed miRNAs were mainly involved in the immune system processes of the Arf6 downstream pathway. The target genes Reactome pathways were mainly enriched in the RAC1 GTPase cycle, CDC42 GTPase cycle, RHO GTPase cycle, RHOV GTPase cycle, and post-transcriptional silencing of small RNAs. The transcription factors SP4, NKX6-1, MEF2A, SP1, EGR1, and POU2F1 that may be connected to sheep pox virus (SPPV)-infected cells were discovered by transcription factor annotation screening. In conclusion, this study screened for differentially expressed miRNAs in SPPV-infected cells and performed a series of bioinformatic analyses of their target genes to provide a theoretical basis for the molecular mechanism of sheep pox virus infections of cells. The data can be used as basic information in future studies on the defense mechanisms against poxvirus infections.

Objective:To evaluate the effect of pre-infusion of hypertonic saline on the postoperative cognitive function in elderly patients.Methods:This was a prospective study. Seventy-six patients of both sexes, aged≥60 yr, of American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ, who underwent elective shoulder arthroscopic surgery under brachial plexus block combined with general anesthesia from June 2022 to January 2023 in our hospital, were selected and divided into 2 groups ( n=38 each) by the random number table method: hypertonic saline group and normal saline group. At 30 min before anesthesia induction, 3% hypertonic saline of 4 ml/kg was intravenously infused in hypertonic saline group, and normal saline 4 ml/kg was intravenously infused in normal saline group. The occurrence of intraoperative cerebral desaturation events was recorded. Venous blood samples were collected at 24 h postoperatively, and the plasma concentrations of interleukin-1beta (IL-1β), IL-6, tumor necrosis factor-alpha and S-100β were measured by enzyme-linked immunosorbent assay, and the expression of neutrophil CD11b was detected by flow cytometry. Rey auditory verbal learning test, trail making test, digit symbol substitution test, and stroop color-word test were performed at 1 day before surgery and 5 days after surgery, and the postoperative cognitive dysfunction was assessed using the Z-score method. Results:Compared with normal saline group, the concentrations of plasma IL-6, tumor necrosis factor-alpha and S-100β and expression of neutrophil CD11b were significantly decreased in hypertonic saline group, and the incidence of cognitive dysfunction and cerebral desaturation events was decreased in hypertonic saline group ( P<0.05). Conclusions:Pre-infusion of hypertonic saline can reduce inflammatory responses and improve postoperative cognitive function in elderly patients.

Sheep pox is widespread worldwide and is the most severe animal pox virus infection. This study aimed to identify the key microRNAs (miRNAs) differentially expressed in the exosomes of sheep poxvirus-infected cells and their target genes and related pathways and provide a theoretical basis for an in-depth understanding of the molecular mechanisms of sheep poxvirus-infected cells. In this study, the differentially expressed miRNAs were verified by quantitative polymerase chain reaction (qPCR), and the target genes of miRNAs were predicted and analyzed by bioinformatics. The qPCR results showed that the expression trends of oar-miR-21, oar-miR-10b, oar-let-7f, oar-let-7b, and oar-miR-221 were consistent with the sequencing results. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes results showed that differentially expressed miRNAs were mainly involved in the immune system processes of the Arf6 downstream pathway. The target genes Reactome pathways were mainly enriched in the RAC1 GTPase cycle, CDC42 GTPase cycle, RHO GTPase cycle, RHOV GTPase cycle, and post-transcriptional silencing of small RNAs. The transcription factors SP4, NKX6-1, MEF2A, SP1, EGR1, and POU2F1 that may be connected to sheep pox virus (SPPV)-infected cells were discovered by transcription factor annotation screening. In conclusion, this study screened for differentially expressed miRNAs in SPPV-infected cells and performed a series of bioinformatic analyses of their target genes to provide a theoretical basis for the molecular mechanism of sheep pox virus infections of cells. The data can be used as basic information in future studies on the defense mechanisms against poxvirus infections.

Sheep pox is widespread worldwide and is the most severe animal pox virus infection. This study aimed to identify the key microRNAs (miRNAs) differentially expressed in the exosomes of sheep poxvirus-infected cells and their target genes and related pathways and provide a theoretical basis for an in-depth understanding of the molecular mechanisms of sheep poxvirus-infected cells. In this study, the differentially expressed miRNAs were verified by quantitative polymerase chain reaction (qPCR), and the target genes of miRNAs were predicted and analyzed by bioinformatics. The qPCR results showed that the expression trends of oar-miR-21, oar-miR-10b, oar-let-7f, oar-let-7b, and oar-miR-221 were consistent with the sequencing results. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes results showed that differentially expressed miRNAs were mainly involved in the immune system processes of the Arf6 downstream pathway. The target genes Reactome pathways were mainly enriched in the RAC1 GTPase cycle, CDC42 GTPase cycle, RHO GTPase cycle, RHOV GTPase cycle, and post-transcriptional silencing of small RNAs. The transcription factors SP4, NKX6-1, MEF2A, SP1, EGR1, and POU2F1 that may be connected to sheep pox virus (SPPV)-infected cells were discovered by transcription factor annotation screening. In conclusion, this study screened for differentially expressed miRNAs in SPPV-infected cells and performed a series of bioinformatic analyses of their target genes to provide a theoretical basis for the molecular mechanism of sheep pox virus infections of cells. The data can be used as basic information in future studies on the defense mechanisms against poxvirus infections.

Objective:To explore the mediating role of positive coping style between social support and post-discharge coping difficulty among mothers of premature infants, so as to provide guidance for medical staff to deeply understand and improve the post-discharge coping difficulty of mothers.Methods:A convenience sampling method was employed to select 310 mothers of premature infants from the neonatal intensive care units of five tertiary level A hospitals in Shandong Province from March to June 2023 as the study population. A cross-sectional survey was conducted using the general information questionnaire, the Social Support Rating Scale, the Simple Coping Style Questionnaire, and the Post-Discharge Coping Difficulty Scale-Parent Form.Results:A total of 280 valid questionnaires were returned, among which the age of mothers was (32.70 ± 5.08) years. The score of social support, positive coping style and post-discharge coping difficulty in mothers of preterm infants was (42.59 ± 7.40), (23.06 ± 6.75) and (3.64 ± 1.74) points respectively. Social support was positively associated with positive coping style ( r=0.404, P<0.01), social support and positive coping style were negatively associated with post-discharge coping difficulty ( r=-0.368, -0.369, both P<0.01). Positive coping style partially mediated the relationship between social support and post-discharge coping difficulty, which accounted for 31.11% of the total effect. Conclusions:Social support can affect post-discharge coping difficulty of mothers of premature infants through positive coping style. Medical staff should pay attention to the enhancement of social support and the cultivation of positive coping style of mothers of premature infants, and take targeted measures to reduce the post-discharge coping difficulty.

Purpose/Significance The processing links and key technologies of health care big data are deeply discussed to provide in-formation support and guarantee for further promoting the application of health care big data.Method/Process According to the scientific research paradigm driven by big data,and based on the process perspective,the paper introduces the sources and characteristics of health care big data,analyzes the processing links and key technologies of big data,and discusses the current challenges and future development directions of health care big data processing.Result/Conclusion Both China and foreign countries have achieved innovative development in technologies for health care big data processing.However,there are still some challenges in multi-dimensional data collection,multi-mo-dal data integration,large model data analysis,and data security.In the future,through building a comprehensive platform of big data pro-cessing,and developing or integrating targeted functional modules,the existing problems can be effectively addressed.

Objective:The purpose of this study is to explore the clinical characteristics of Coronavirus Disease 2019 (COVID-19) in patients with type 2 diabetes mellitus (T2DM), and analyze the risk factors for adverse outcomes.Methods:2 052 patients diagnosed with COVID-19 who were hospitalized in Shanxi Bethune Hospital between December 1, 2022 and March 20, 2023 were included. They were divided into diabetes group ( n=70) and non-diabetes group ( n=1 982) according to the presence or absence of comorbid T2DM. The two groups were matched at 1:1 via propensity score matching. Clinical characteristics and laboratory examination results of the two groups were compared. According to the outcomes during hospitalization, the two groups were further divided into two subgroups respectively. Univariate analysis and subsequent binary Logistic regression was used to analyze the risk factors of adverse outcomes in patients with COVID-19 and type 2 diabetes. Results:After the propensity score matching, the most common comorbid condition in diabetes group and non-diabetes group was hypertension. The proportion of patients with severe or critical disease in diabetes group was higher compared with non-diabetes group. The levels of hemoglobin A1c (HbA1c), fasting blood glucose (FBG), blood urea, IL-4, IL-6, IL-10, IFN-γ and TNF-α were significantly higher in the diabetes group ( P<0.05). Logistic regression analysis within the diabetes group showed that hypertension ( OR=3.640, 95% CI: 3.156 to 4.290), FBG>11 mmol/L ( OR=3.283, 95% CI: 1.416 to 7.611), HbA1c>10% ( OR=2.718, 95% CI: 1.024 to 7.213) were independent risk factors for adverse outcomes in patients with COVID-19 and type 2 diabetes(all P<0.05). Conclusions:Compared with the non-diabetes group, patients with COVID-19 and T2DM have worse inflammatory response and higher levels of inflammatory cytokines. The elevated levels of FBG and HbA1c are related to the adverse outcome in patients with COVID-19 and T2DM.

To address the problem of low accuracy in multi-classification recognition of motor imagery electroencephalogram(EEG)signals,a recognition method is proposed based on differential entropy and convolutional neural network for 4-class classification of motor imagery.EEG signals are extracted into 4 frequency bands(Alpha,Beta,Theta,and Gamma)through the filter,followed by the computation of differential entropy for each frequency band.According to the spatial characteristics of brain electrodes,the data structure is reconstructed into three-dimensional EEG signal feature cube which is input into convolutional neural network for 4-class classification.The method achieves an accuracy of 95.88%on the BCI Competition IV-2a public dataset.Additionally,a 4-class classification motor imagery dataset is established in the laboratory for the same processing,and an accuracy of 94.50%is obtained.The test results demonstrate that the proposed method exhibits superior recognition performance.

Abstract Airborne microorganisms, especially pathogenic microorganisms, are easily transmitted through dust and droplets, leading to various infectious diseases. The study summarizes the status of airborne microbial pollution, potential exposure levels, particle size, and species distribution of microorganisms, discusses the impact of airborne microorganisms on human health, and analyzes specific factors affecting campus air microorganisms from four aspects:climate, anthropogenic factors, time, and space, to provide a scientific basis for formulating effective improvement measures, improving air quality and safeguarding the health of teachers and students.