Cardiovascular disease is a health hazard to humans and systolic heart failure due to myocardial infarction is a major cause of death.It was previously thought that myocardial cells of the adult mammalian heart possess a limited ability to proliferate and self-renew.However,it has been widely reported that mammals have the ability to regenerate the myocardium,which is restricted to early postnatal life,and that it is strong enough to repair damaged heart tissue.The discovery of myocardial regeneration in neonatal hearts has provided an ideal animal model to investigate the mechanisms that affect myocardial regeneration,and many mechanisms that reverse myocardial cell cycle arrest and promote myocardial regeneration have been revealed.In this article,we review the factors affecting gene expression for myocardial regeneration(e.g.,ncRNAs and transcription factors),myocardial regeneration-related signaling pathways,and the regulation of myocardial regeneration by non-myocardial cells(e.g.,extracellular matrix,immune response,and epicardium)to provide directions for achieving myocardial regeneration after myocardial injury in adult mammals.

In order to understand the prevalence and genetic variation of H9N2 subtype avian influ-enza virus in Shandong,a total 492 tracheal and lung tissue samples collected from chicken farms with respiratory symptoms in partial areas in Shandong were detected by H9 subtype AIV real-time RT-PCR,and the positive samples were inoculated with chicken embryos for two generations.Whole genome sequences of the positive strains by applying Illumina Miaseq platform,and genetic evolution and mutation at positions associating with viral pathogenicity and transmissibility were analyzed.The results showed that there were 72 samples were positive for H9 subtype AIV among the 492 samples,with a positive rate of 14.63％.Thirty-four strains of H9 subtype AIV were ob-tained from the positive samples after passing through chicken embryo,meanwhile,the 34 isolates were all H9N2 subtype AIV by whole genome sequencing analysis.By analyzing the evolutionary tree of HA and NA genes,HA and NA genes of the 34 H9N2 AIV strains belonged to Y280-like branch and F/98-like branch,respectively.Meanwhile,based on above branches,there were obvious time node subbranch,which one was"isolates before 2013",another one was"isolates after 2013".The HA cleavage sites of thirty-four H9N2 strains were all 325PSRSSR↓GLF333,which met the se-quence characteristics of the lowly pathogenic avian influenza virus,and the HA receptor binding site 226 amino acid was leucine,which had the characteristics of blinding to a-2,6 mammalian sialic acid receptors.Among the internal amino acid sites that are key to mammalian adaptation,all strains had an I368V mutation in the PB1 gene that enhanced viral transmissibility in mammals and the PB2 genes of some strains were mutated to enhance the mammalian adaptation of I292 V and A588 V.The above results illustrated that the H9N2 subtype AIV gene segments in Shandong have different degrees of recombination and gene variation,so it is necessary to strengthen the monito-ring of virus variation.

Objective:To evaluate the cerebral infarct volume and the nerve fiber connectivity between cortical and neurogenesis-related regions in the mouse model of reperfusion after middle cerebral artery occlusion (MCAO) by 11.7 Tesla(11.7 T) magnetic resonance imaging (MRI).Methods:MCAO models were established in SPF grade adult male C57BL/6 mice using the suture-occluded method.MRI scans were performed at 3 days before and 1 day after modeling.Infarct volumes were calculated, and nerve fiber tracking was performed on specific brain regions to analyze the nerve fiber number and the parameters of fractional anisotropy(FA), mean diffusivity(MD), axial diffusivity (AD)and radial diffusivity(RD). SPSS 26.0 was used for statistical analysis, and paired t test was used to compare the data before and after modeling. Results:(1) After MCAO-induced ischemia, the infarct volume was up to (35.11±17.57)mm 3, and the FA value of the infarct area was significantly reduced compared with that of before modeling( t=4.73, P<0.01). (2) At the anterior-posterior(AP): + 1.2 mm section, the results of fiber tracking showed that compared with before modeling, the number of fiber bundles originating from the dorsal horn of the lateral sub-ventricle zone(SVZ)to the cortex reduced ((92 584.20±14 751.00) vs (59 815.60±6 752.46), t=4.87, P<0.01), and the number of fiber bundles projected to the infarcted area reduced ((107 671.40±10 497.57) vs (61 658.60±10 178.21), t=6.43, P<0.01). FA, AD, MD, and RD values were all decreased in different degrees( t=3.38-6.43, all P<0.05). (3) At the AP: -3.8 mm section, the number of fiber bundles originating from the dorsal horn of the SVZ to the cortex decreased (after modeling(96 944.00±18 331.09), before modeling(58 767.80±16 445.25), t=2.99, P<0.05), and the values of FA, AD, MD and RD decreased after ischemia ( t=7.30, 5.05, 6.74, 4.13, all P<0.05). Conclusion:The ultra-high field strength of 11.7 T MRI can accurately detect the following results that the number of nerve fiber bundles from the SVZ to the cortex or infarct area are both significantly reduced, and diffusion tensor parameters are consistently changed in mice after 1 day of ischemia-reperfusion.

BACKGROUND: Pneumonia-like primary pulmonary lymphoma (PPL) was commonly misdiagnosed as infectious pneumonia, leading to delayed treatment. The purpose of this study was to establish a computed tomography (CT)-based radiomics model to differentiate pneumonia-like PPL from infectious pneumonia. METHODS: In this retrospective study, 79 patients with pneumonia-like PPL and 176 patients with infectious pneumonia from 12 medical centers were enrolled. Patients from center 1 to center 7 were assigned to the training or validation cohort, and the remaining patients from other centers were used as the external test cohort. Radiomics features were extracted from CT images. A three-step procedure was applied for radiomics feature selection and radiomics signature building, including the inter- and intra-class correlation coefficients (ICCs), a one-way analysis of variance (ANOVA), and least absolute shrinkage and selection operator (LASSO). Univariate and multivariate analyses were used to identify the significant clinicoradiological variables and construct a clinical factor model. Two radiologists reviewed the CT images for the external test set. Performance of the radiomics model, clinical factor model, and each radiologist were assessed by receiver operating characteristic, and area under the curve (AUC) was compared. RESULTS: A total of 144 patients (44 with pneumonia-like PPL and 100 infectious pneumonia) were in the training cohort, 38 patients (12 with pneumonia-like PPL and 26 infectious pneumonia) were in the validation cohort, and 73 patients (23 with pneumonia-like PPL and 50 infectious pneumonia) were in the external test cohort. Twenty-three radiomics features were selected to build the radiomics model, which yielded AUCs of 0.95 (95% confidence interval [CI]: 0.94-0.99), 0.93 (95% CI: 0.85-0.98), and 0.94 (95% CI: 0.87-0.99) in the training, validation, and external test cohort, respectively. The AUCs for the two readers and clinical factor model were 0.74 (95% CI: 0.63-0.83), 0.72 (95% CI: 0.62-0.82), and 0.73 (95% CI: 0.62-0.84) in the external test cohort, respectively. The radiomics model outperformed both the readers' interpretation and clinical factor model ( P <0.05). CONCLUSIONS The CT-based radiomics model may provide an effective and non-invasive tool to differentiate pneumonia-like PPL from infectious pneumonia, which might provide assistance for clinicians in tailoring precise therapy.
Humans ; Retrospective Studies ; Pneumonia/diagnostic imaging* ; Analysis of Variance ; Tomography, X-Ray Computed ; Lymphoma/diagnostic imaging*

Carotenoid cleavage dioxygenase (CCD) family is important for production of volatile aromatic compounds and synthesis of plant hormones. To explore the biological functions and gene expression patterns of CsCCD gene family in tea plant, genome-wide identification of CsCCD gene family was performed. The gene structures, conserved motifs, chromosome locations, protein physicochemical properties, evolutionary characteristics, interaction network and cis-acting regulatory elements were predicted and analyzed. Real time-quantitative reverse transcription PCR (RT-qPCR) was used to detect the relative expression level of CsCCD gene family members under different leaf positions and light treatments during processing. A total of 11 CsCCD gene family members, each containing exons ranging from 1 to 11 and introns ranging from 0 to 10, were identified. The average number of amino acids and molecular weight were 519 aa and 57 643.35 Da, respectively. Phylogenetic analysis showed the CsCCD gene family was clustered into 5 major groups (CCD1, CCD4, CCD7, CCD8 and NCED). The CsCCD gene family mainly contained stress response elements, hormone response elements, light response elements and multi-factor response elements, and light response elements was the most abundant (142 elements). Expression analysis showed that the expression levels of CsCCD1 and CsCCD4 in elder leaves were higher than those in younger leaves and stems. With the increase of turning over times, the expression levels of CsCCD1 and CsCCD4 decreased, while supplementary LED light strongly promoted their expression levels in the early stage. The expression level of NCED in younger leaves was higher than that in elder leaves and stems on average, and the expression trend varied in the process of turning over. NCED3 first increased and then decreased, with an expression level 15 times higher than that in fresh leaves. In the late stage of turning over, supplementary LED light significantly promoted its gene expression. In conclusion, CsCCD gene family member expressions were regulated by mechanical force and light. These understandings may help to optimize tea processing techniques and improve tea quality.
Camellia sinensis/genetics* ; Gene Expression Regulation, Plant ; Phylogeny ; Plant Leaves/genetics* ; Plant Proteins/metabolism* ; Tea

Objective:To identify and screen the differential methylation genes in patients with cholangiocarcinoma and to predict the prognosis of patients with CCA.Methods:Cholangiocarcinoma tissues and paracancerous tissues of 8 patients with cholangiocarcinoma in Fujian Provincial Hospital from October 2019 to May 2020 were selected for 850K methylation sequencing analysis to obtain differentially methylated genes. The 2018 genome-wide methylation data and clinical information of 36 patients with cholangiocarcinoma were download from The Cancer Genome Atlas (TCGA) database, the 2012 cholangiocarcinoma methylation data (GSE32879) were download from the Gene Expression Omnibus (GEO) database, and the 2018 TCGA database differential survival genomic data of overall survival (OS) and disease-free survival (DFS) of cholangiocarcinoma were download from the GEPIA2 database. The differentially methylated positions (DMP) and differentially methylated regions (DMR) results of 850K methylation sequencing analysis of submitted samples, methylated genes in TCGA and GEO databases, and cholangiocarcinoma survival genes of samples were jointly submitted for testing, multi-data set analysis was performed by the Sangerbox VENN tool, and common differentially methylated genes were obtained by intersection screening. The minimum P value method was used to determine the cut-off value of gene expression in Sangerbox, and the patients were divided into high and low expression groups of differentially methylated genes. The OS, DFS, disease-specific survival (DSS), disease-free interval (DFI) and progression-free interval (PFI) of cholangiocarcinoma patients were compared between the two groups. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed. Results:A total of 121 954 DMP were identified by 850K methylation sequencing of cholangiocarcinoma tissues and paracancerous tissues of 8 patients; a total of 1 399 differentially methylated genes were identified in DMR, and the common prognosis related genes glucosaminyl (N-acetyl) transferase 1 (GCNT1) and neurotrophic receptor tyrosine kinase 3 (NTRK3) were identified by intersection identification. The expression of GCNT1 in the cholangiocarcinoma tissues was higher than that in the paracancerous tissues, and the difference was statistically significant ( P = 0.040). The expression of NTRK3 in cholangiocarcinoma tissues was higher than that in the paracancerous tissues, but the difference was not statistically significant ( P = 0.790). The minimum P value method was used to predict the prognosis of patients with cholangiocarcinoma based on the combined expression of GCNT1 and NTRK3, and the order was based on the sum of the expression levels of the two genes. When 30% of the ranking was taken as the cut-off value, the difference in DFS between the high expression group and the low expression group in cholangiocarcinoma was the most significant ( P < 0.001); there was no significant difference in OS between the two groups ( P = 0.065). The results of GO functional analysis showed that GCNT1 was involved in protein glycosylation, macromolecule glycosylation, glycosylation, glycoprotein biosynthetic process, glycoprotein metabolic process, transferase activity and transferring glycosyl groups, protein O-linked glycosylation, O-glycan processing, etc., and NTRK3 was involved in neurotrophin signaling pathway, Ras signaling pathway, EGFR tyrosine kinase inhibitor resistance, ErbB signaling pathway, phospholipase D signaling pathway, central carbon metabolism in cancer, natural killer cell mediated cytotoxicity, etc. The results of KEGG analysis showed that GCNT1 was mainly associated with system functions such as mucin-type O-glycan biosynthesis and metabolic pathways, and NTRK3 was mainly associated with cell surface receptor pathways, intracellular signal transduction, positive regulation of stimulatory responses, transmembrane receptor protein tyrosine kinase signaling pathway, enzyme-linked receptor protein signaling pathway, MAPK signaling pathway cascade and regulation, protein phosphorylation signal transduction and other system functions. Conclusions:The expressions of differentially methylated genes GCTNT1 and NTRK3 in cholangiocarcinoma have certain predictive effects on the prognosis of patients with cholangiocarcinoma.

[摘 要] 目的：探索南蛇藤提取物齐墩果烷型五环三萜（28-hydroxy-3-oxoolean-12-en-2-oic acid）协同miR-451对人胃癌AGS细胞增殖、迁移的影响及其可能的分子机制。方法：用miR-451过表达慢病毒感染AGS细胞，并用盐酸多西环素（DOX）10或100 ng/ml诱导24 h，构建过表达miR-451的细胞AGS/miR-451+。采用10、20、40、80、160 μmol/L的齐墩果烷型五环三萜处理AGS/miR-451+细胞，MTT法、划痕实验分别检测细胞增殖和迁移能力的变化，WB法检测细胞中mTOR通路及凋亡相关蛋白表达水平的变化。结果：成功构建过表达miR-451的AGS/miR-451+细胞。与未加药对照组相比，齐墩果烷型五环三萜处理后AGS/miR-451+细胞的增殖抑制率均呈时间和浓度依赖性升高（P<0.05或P<0.01），细胞迁移率均显著降低（P<0.05或P<0.01）。齐墩果烷型五环三萜处理组细胞中，mTOR 信号通路相关蛋白的表达量均有所降低（P<0.05或P<0.01）；凋亡相关蛋白中，Bcl2的表达量下降，BAX、caspase-3、caspase-1及细胞色素c的表达量升高（P<0.05或P<0.01）。结论：齐墩果烷型五环三萜能够协同miR-451抑制人胃癌AGS细胞的增殖与迁移，其机制可能与影响凋亡和mTOR信号通路相关蛋白的表达有关。

Objective:To analyze the cognition and willingness of family physicians on contracted service, and to explore the implementation obstacles and feasible strategies of implementing contracted service of family physicians from the perspective of suppliers.Methods:From July to October 2020, 850 family physicians in community health service centers or township health centers in three cities of Shandong Province were investigated by questionnaire survey and key person interview. Descriptive analysis and binary logistic regression model were used to analyze the willingness of family physicians to provide contracted service. Through questionnaire survey and key person interview, the implementation obstacles and service optimization strategies of family physicians were discussed.Results:791 valid questionnaires were obtained, of which 688(87.0%) approved the implementation of family physician contract service, and 679(85.8%) expressed willingness to provide family physician contract service. Marital status, recognition of service policy, satisfaction of service operation effect, optimistic degree of service development prospect and residents′ first choice of illness were the factors influencing family physician′s service willingness.Conclusions:We should effectively improve the family doctor′s service intention and promote the efficient and orderly implementation of family doctor′s contract service policy through enriching policy supporting measures, innovating the application of " Internet plus" , increasing personnel training, optimizing performance appraisal work and creating favorable public opinion environment.

Objective:To understand the willingness of contracted residents to renew the family doctor contract service in Shandong Province, and to explore its influencing factors.Methods:From July to August 2020, 1 500 contracted residents in 3cities of Shandong Province were investigated by questionnaire survey.Descriptive statistical analysis, Mann-Whitney U test and binary logistic regression model were used to analyze the contracted residents′ cognition, utilization, satisfaction evaluation and renewal intention of family doctor contract service. Results:1 445 valid questionnaires were obtained, of which 682(47.2%)were willing to renew their contracts.The results of binary logistic regression analysis showed that marital status, educational level, time to see a doctor in contracted institutions, optimism about the development prospect of contracted service policy, whether the proportion of medical insurance reimbursement increased after signing the contract, whether follow-up work was carried out on time, satisfaction with family doctor service attitude and satisfaction with the effect of disease treatment were factors affecting the willingness of contracted residents to renew the contract.Conclusions:The contracted residents in Shandong Province have a high willingness to renew their contracts. On the basis of consolidating and improving the policy cognition and confidence of the contracted residents, we should actively optimize and improve the contracted service quality, ensure the sense of service access of contracted residents, and continuously and effectively realize the comprehensive promotion of the contracted services of family doctors.

Objective:To explore the current status of medical preventive integration at primary medical institutions, analyze the problems of medical prevention integration, and put forward optimization suggestions.Methods:From June to July 2020, 169 primary medical institutions in a city were selected as the survey objects to conduct a questionnaire survey on the basic information of institutions and the evaluation indicators of medical preventive integration. The evaluation index system of medical preventive integration was divided into a factual survey and a sensory survey. In addition, 32 relevant personnel were interviewed on the current situation of medical preventive integration at primary medical institutions. The reliability and validity of the data were tested and analyzed, while descriptive analysis and classification extraction analysis were carried out.Results:The reliability and validity analysis proved the data reliability. The factual survey extracted three common factors, namely organization management, performance appraisal distribution and information management. The sensory survey extracted two common factors, namely working mode and personnel training. In terms of organization, management and working methods, the degree of medical preventive integration was low. Among them, 53.8% of the institutions had formulated the medical preventive integration norms, and only 41.4% of them had shared residents′ health information in time.Conclusions:The degree of medical preventive integration of primary medical institutions in the city still need to be improved. In the future, we should strengthen the top-level design, establish the norms and cooperation mechanism of medical preventive integration, improve the awareness of medical preventive integration of medical personnel, improve the information level, and to build a new service model integrating disease prevention, medical treatment and health management.