Objective:To analyze the safety and efficacy of multi-vessel minimally invasive cardiac surgery-coronary artery bypass graft(MICS-CABG) through perioperative angiography results and complications.Methods:Clinical data of 1 073 patients who underwent multi-vessel MICS-CABG surgery at Peking University Third Hospital from December 2015 to June 2024 were collected using an ambispective cohort study. Among them, 745 were males(69.4%), with a median age of 65 years(58, 71), and a median ejection fraction of 0.66(0.56, 0.71). Double-vessel or triple-vessel lesions accounted for 932 cases(86.9%), while left main lesions were present in 449 cases(41.8%). The primary outcome was the evaluation of graft patency based on perioperative angiography or coronary artery computed tomography angiography results, while major cardiovascular adverse events during the perioperative period, surgical complications, and other surgical information were secondary outcomes. The clinical efficacy of multi-vessel MICS-CABG was evaluated.Results:In this study, the median number of grafts was 3, and complete revascularization was performed in 1 006 cases(93.8%); total arterial revascularization was performed in 308 cases(28.6%). Perioperative mortality was 11 cases(1.0%), and the main adverse cardiovascular and cerebrovascular events(MACCE) was 50 cases(4.8%). Three cases(0.3%) had poor wound healing, and 79 patients(7.4%) required transfusion. Postoperative coronary angiography was performed in 907 patients(84.5%) and coronary CTA was performed in 52 patients(4.8%), for an overall review rate of 89.4%(959/1073). The overall patency rate of the bridge vessel was 96.9%, and the patency rate of the left internal mammary artery was 98.2%.Conclusion:Multi-vessel MICS-CABG demonstrates excellent perioperative safety and is capable of achieving complete revascularization for the 3 regions of the heart. The quality of the anastomosis and the postoperative patency rate of the grafts is satisfactory.

BACKGROUND:Early diagnosis of pulmonary fibrosis is the foundation for timely antifibrotic drug therapy.Therefore,exploring and discovering ideal biomarkers that can be effectively used for the early diagnosis of pulmonary fibrosis is crucial for the treatment of the disease.OBJECTIVE:To conduct an in-depth analysis of key autophagy-related genes involved in the process of pulmonary fibrosis by means of bioinformatics and machine learning techniques,in order to investigate whether autophagy-related core genes of pulmonary fibrosis can be used as reliable biomarkers in the assessment of the progression of pulmonary fibrosis.METHODS:Two datasets of pulmonary fibrosis,GSE24206 and GSE110147,were downloaded from the Gene Expression Omnibus(GEO)database(a public database developed and maintained by the U.S.National Center for Biotechnology Information to store and share bioinformatics data),and the gene expression matrices of these two datasets were normalized by using the"limma"package in R software.The autophagy-related genes were extracted from GeneCards database(a database created by the U.S.National Center for Biotechnology Information,which automatically integrates gene-centric data from about 200 Web sources,including genomic,transcriptomic,proteomic,genetic,clinical,and functional information).Differential gene analysis was performed on the pulmonary fibrosis dataset,and the common genes were extracted by cross-comparing the differential genes with the autophagy genes,so as to identify autophagy genes that may play a role in the process of pulmonary fibrosis.The intersecting genes were analyzed for functional enrichment and cellular immune infiltration by gene ontology and Kyoto Encyclopedia of Genes and Genomes.Core genes of pulmonary fibrosis associated with autophagy were screened by protein-protein interactions and machine learning,and core genes were subjected to the enrichment analysis.Diagnostic models were constructed from the identified core genes.Calibration curves were used to assess the predictive ability of the line graph model.An external dataset,GSE21369,was used to perform a receiver operating characteristic curve analysis to validate the expression profiles of pulmonary fibrosis genes associated with autophagy,as well as to predict Chinese herbs associated with the genes IL6 and COL1A2 via the Coremine database.Finally,human embryonic lung fibroblasts were cultured and modelled by transforming growth factor-β1 treatment,and the relative expression of genes in the model cells was verified using qRT-PCR.RESULTS AND CONCLUSION:(1)A total of 51 pulmonary fibrosis differential genes and 25 genes intersecting with autophagy genes were obtained.Gene ontology analysis showed that the 25 intersecting genes were related to extracellular matrix tissue,collagen metabolism,collagen pro-fibroblasts,and growth factor binding,etc.The results of Kyoto Encyclopedia of Genes and Genomes enrichment analysis indicated that they were mainly related to the Phosphatidylinositol 3-kinase/protein kinase B signaling pathway and the signaling pathway of the extracellular matrix-receptor interactions.(2)Immunoinfiltration analysis revealed that the expression of activated memory CD4+T cells,M0 macrophages,and resting dendritic cells was significantly elevated in the pulmonary fibrosis group(P＜0.05),showing a strong correlation.(3)Two autophagy signature genes involved in the progression of pulmonary fibrosis were identified:COL1A2 and IL6.The column-line diagram model showed that the two core genes predicted the onset of pulmonary fibrosis more accurately,and the receiver operating characteristic curve analysis showed that the two characteristic genes had diagnostic significance.COL1A2 and IL6 were related to the cell-cycle pathway,mitogen-activated protein kinase signaling pathway,Janus kinase-signal transduction and activator of transcription signaling pathway and cytokine-cytokine receptor interactions.A total of 20 Chinese herbs were predicted to be related to COL1A2 and IL6 genes,and their efficacies were mainly to clear away heat and detoxify toxins and to invigorate blood and move qi.COL1A2 and IL6 were verified to be highly expressed in pulmonary fibrosis.To conclude,COL1A2 and IL6 may be potential diagnostic biomarkers for pulmonary fibrosis,but its specificity to pulmonary fibrosis needs to be further investigated.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Objective:To investigate the impact of coronary angiography-derived index of microcirculatory resistance (caIMR) on the long-term prognosis of patients with coronary heart disease (CHD) undergoing elective percutaneous coronary intervention (PCI).Methods:The study was a retrospective cohort study conducted at a single centre. Patients who successfully underwent elective PCI with pre-and post-PCI caIMR measurements in Peking University First Hospital between August 2013 and December 2020 were included. Then patients were categorised into three groups based on pre-and post-PCI caIMR: post-PCI caIMR<25 U group, pre-PCI caIMR<25 U and post-PCI caIMR≥25 U group, and both pre-and post-PCI caIMR≥25 U group. Collected clinical data of patients, including comorbid diabetes mellitus.The primary endpoint was a composite endpoint, defined as a composite of all-cause death, non-fatal myocardial infarction, and any revascularisation. The association between caIMR-based groupings and clinical outcomes was analysed using Cox proportional hazards regression models.Results:A total of 625 patients who underwent successful elective PCI were included in the study, among whom 294 (47.0%) had stable angina. The age was (64.5±10.1) years, and 440 (70.4%) patients were male. Over a median follow-up of 3.69 (1.80, 5.80) years, 122 patients (19.5%) experienced composite endpoint events. Post-PCI caIMR≥25 U in combination with diabetes mellitus was associated with an increased risk of the composite endpoint compared to those with post-PCI caIMR<25 U and without diabetes mellitus (adjusted HR=2.13, 95% CI 1.17-3.88, P=0.014). In the combined analysis, compared with post-PCI caIMR<25 U group, those with both pre-and post-PCI caIMR≥25 U had higher risks of composite endpoint (adjusted HR=2.01, 95% CI 1.18-3.43, P=0.010) and any revascularisation (adjusted HR=2.12, 95% CI 1.17-3.84, P=0.013). The pre-PCI caIMR<25 U and post-PCI caIMR≥25 U group showed no statistically significant differences in any of the endpoints compared to post-PCI caIMR<25 U group. Conclusions:Integrated pre-and post-procedural assessment of caIMR may enhance risk stratification in patients with coronary heart disease. Persistent coronary microvascular dysfunction present both before and after PCI, as measured by caIMR, serves as an independent risk factor for adverse events in patients with coronary heart disease undergoing elective PCI.

Objective:To investigate the prevalence and risk factors of overweight and obesity among Chinese children aged 3-18 years from 11 provinces, antonomous regions, or municipalities.Methods:This national cross-sectional community health survey utilized a multistage stratified cluster-random sampling method to recruit 193 997 nationally representative participants from 11 provinces, autonomous regions, or municipalities between January 2017 and December 2019. All participants underwent physical examinations, and their caregivers completed questionnaires assessing participants′ dietary, lifestyle, familial, and perinatal information. Multilevel multinomial logistic regression models were employed to identify the potential risk factors.Results:The cohort comprised 193 997 children (102 178 boys, 91 819 girls),aged (10±4) years. Overall prevalence rates were 30 574(15.8%)overweight children and 17 217(8.9%) obesity children. Boys exhibited higher overweight and obesity rates than girls (17.0% (17 368/102 178) vs. 14.4% (13 206/102 178), 11.3% (11 553/91 819) vs. 6.2% (5 664/91 819), χ2=249.12,1 578.69,both P<0.001). The detection rates of obesity in Tanner stage 2 and 3 were the highest in boys and girls, with 13.4%(2 231/16 665) and 8.6%(880/10 221) respectively. Risk factors for obesity included parental overweight (paternal OR=2.34 and maternal OR=2.29), annual household income of 100 000-200 000 yuan (compared with<100 000 yuan, OR=1.04), higher paternal education (compared with below high school,high school and a college education OR=1.09,1.14), birth weight >4.0 kg (≤5 and>5 years old OR=1.74, 1.44,respectively), and western food consumption≥1 time/month (compared with<1, 1-2, 3-4,>4 times/month OR=1.36, 1.30, 1.67(≤5 years), 1.19, 1.16, 1.15 (>5 years), respectively) (all P<0.05). Conversely, coarse grain intake≥1 times/week (compared with<1 times/week, every day, 3-4, 1-2 times/week OR=0.74, 0.80, 0.71 (≤5 years), 0.75, 0.87, 0.90(>5 years), respectively, all P<0.05) was associated with reduced obesity risk. Conclusions:Obesity epidemiology in children demonstrates significant heterogeneity across age, gender, geographic regions, and pubertal stages. It is necessary to establish a personalized prevention and control strategy.

Objective:To analyze the safety and efficacy of multi-vessel minimally invasive cardiac surgery-coronary artery bypass graft(MICS-CABG) through perioperative angiography results and complications.Methods:Clinical data of 1 073 patients who underwent multi-vessel MICS-CABG surgery at Peking University Third Hospital from December 2015 to June 2024 were collected using an ambispective cohort study. Among them, 745 were males(69.4%), with a median age of 65 years(58, 71), and a median ejection fraction of 0.66(0.56, 0.71). Double-vessel or triple-vessel lesions accounted for 932 cases(86.9%), while left main lesions were present in 449 cases(41.8%). The primary outcome was the evaluation of graft patency based on perioperative angiography or coronary artery computed tomography angiography results, while major cardiovascular adverse events during the perioperative period, surgical complications, and other surgical information were secondary outcomes. The clinical efficacy of multi-vessel MICS-CABG was evaluated.Results:In this study, the median number of grafts was 3, and complete revascularization was performed in 1 006 cases(93.8%); total arterial revascularization was performed in 308 cases(28.6%). Perioperative mortality was 11 cases(1.0%), and the main adverse cardiovascular and cerebrovascular events(MACCE) was 50 cases(4.8%). Three cases(0.3%) had poor wound healing, and 79 patients(7.4%) required transfusion. Postoperative coronary angiography was performed in 907 patients(84.5%) and coronary CTA was performed in 52 patients(4.8%), for an overall review rate of 89.4%(959/1073). The overall patency rate of the bridge vessel was 96.9%, and the patency rate of the left internal mammary artery was 98.2%.Conclusion:Multi-vessel MICS-CABG demonstrates excellent perioperative safety and is capable of achieving complete revascularization for the 3 regions of the heart. The quality of the anastomosis and the postoperative patency rate of the grafts is satisfactory.

Objective To distinguish Cremastra appendiculata(D.Don)Makino,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and its easily confusing products Oreorchis patens and Iphigenia indica Kunth using the ITS sequence in DNA barcodes;To explore the genetic diversity of Cremastra appendiculata germplasm resources.Methods Three different original Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and their easily confusing products Cremastrae Pseudobulbus of Oreorchis patens and Iphigenia indica Kunth were selected as the research objects,and the genomic DNA of the above samples were extracted by the modified CTAB method,and then the ITS sequences were amplified,sequenced and spliced by PCR technology.The Kimura 2-Parameter(K2P)model was used to calculate the genetic distance,and the phylogenetic tree was constructed with the help of neighbour joining method(NJ)for genetic relationship analysis.Results Except for the Iphigenia indica Kunth species that were not found during the BLAST search,the BLAST comparison results of the other samples were higher than 95%.At the same time,the results of phylogenetic tree showed that Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides were clustered into one branch,respectively,and the easily confusing products were also respectively clustered into one branch.Conclusion The ITS sequence in DNA barcodes can be used to accurately distinguish Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and its easily confusing products Oreorchis patens and Iphigenia indica Kunth.

BACKGROUND:Early diagnosis of pulmonary fibrosis is the foundation for timely antifibrotic drug therapy.Therefore,exploring and discovering ideal biomarkers that can be effectively used for the early diagnosis of pulmonary fibrosis is crucial for the treatment of the disease.OBJECTIVE:To conduct an in-depth analysis of key autophagy-related genes involved in the process of pulmonary fibrosis by means of bioinformatics and machine learning techniques,in order to investigate whether autophagy-related core genes of pulmonary fibrosis can be used as reliable biomarkers in the assessment of the progression of pulmonary fibrosis.METHODS:Two datasets of pulmonary fibrosis,GSE24206 and GSE110147,were downloaded from the Gene Expression Omnibus(GEO)database(a public database developed and maintained by the U.S.National Center for Biotechnology Information to store and share bioinformatics data),and the gene expression matrices of these two datasets were normalized by using the"limma"package in R software.The autophagy-related genes were extracted from GeneCards database(a database created by the U.S.National Center for Biotechnology Information,which automatically integrates gene-centric data from about 200 Web sources,including genomic,transcriptomic,proteomic,genetic,clinical,and functional information).Differential gene analysis was performed on the pulmonary fibrosis dataset,and the common genes were extracted by cross-comparing the differential genes with the autophagy genes,so as to identify autophagy genes that may play a role in the process of pulmonary fibrosis.The intersecting genes were analyzed for functional enrichment and cellular immune infiltration by gene ontology and Kyoto Encyclopedia of Genes and Genomes.Core genes of pulmonary fibrosis associated with autophagy were screened by protein-protein interactions and machine learning,and core genes were subjected to the enrichment analysis.Diagnostic models were constructed from the identified core genes.Calibration curves were used to assess the predictive ability of the line graph model.An external dataset,GSE21369,was used to perform a receiver operating characteristic curve analysis to validate the expression profiles of pulmonary fibrosis genes associated with autophagy,as well as to predict Chinese herbs associated with the genes IL6 and COL1A2 via the Coremine database.Finally,human embryonic lung fibroblasts were cultured and modelled by transforming growth factor-β1 treatment,and the relative expression of genes in the model cells was verified using qRT-PCR.RESULTS AND CONCLUSION:(1)A total of 51 pulmonary fibrosis differential genes and 25 genes intersecting with autophagy genes were obtained.Gene ontology analysis showed that the 25 intersecting genes were related to extracellular matrix tissue,collagen metabolism,collagen pro-fibroblasts,and growth factor binding,etc.The results of Kyoto Encyclopedia of Genes and Genomes enrichment analysis indicated that they were mainly related to the Phosphatidylinositol 3-kinase/protein kinase B signaling pathway and the signaling pathway of the extracellular matrix-receptor interactions.(2)Immunoinfiltration analysis revealed that the expression of activated memory CD4+T cells,M0 macrophages,and resting dendritic cells was significantly elevated in the pulmonary fibrosis group(P＜0.05),showing a strong correlation.(3)Two autophagy signature genes involved in the progression of pulmonary fibrosis were identified:COL1A2 and IL6.The column-line diagram model showed that the two core genes predicted the onset of pulmonary fibrosis more accurately,and the receiver operating characteristic curve analysis showed that the two characteristic genes had diagnostic significance.COL1A2 and IL6 were related to the cell-cycle pathway,mitogen-activated protein kinase signaling pathway,Janus kinase-signal transduction and activator of transcription signaling pathway and cytokine-cytokine receptor interactions.A total of 20 Chinese herbs were predicted to be related to COL1A2 and IL6 genes,and their efficacies were mainly to clear away heat and detoxify toxins and to invigorate blood and move qi.COL1A2 and IL6 were verified to be highly expressed in pulmonary fibrosis.To conclude,COL1A2 and IL6 may be potential diagnostic biomarkers for pulmonary fibrosis,but its specificity to pulmonary fibrosis needs to be further investigated.