ObjectiveTo construct a risk prediction model for frequent acute exacerbations of chronic obstructive pulmonary disease （COPD） under disease-syndrome combination， thus providing decision support for precise clinical intervention. MethodsA total of 2 029 patients with acute exacerbations of COPD admitted to the First Affiliated Hospital of Anhui University of Chinese Medicine from January 2020 to August 2024 were retrospectively included. These patients were classified into groups of frequent acute exacerbations （≥2 times/year） and infrequent acute exacerbations （<2 times/year） according to the hospitalization times per year. Risk factors were screened by LASSO regression combined with logistic regression， and a nomogram model was constructed. The model performance was assessed based on the area under the curve （AUC）， calibration curves， and decision curve analysis （DCA）. ResultsThe differences in baseline characteristics between the frequent acute exacerbations group （1 196 cases） and infrequent acute exacerbations group （833 cases） were not statistically significant. LASSO regression combined with multivariate logistic regression screened the following independent risk factors： body mass index （BMI）， hospitalization days， number of smoking years， place of residence， use of noninvasive ventilators， oxygen-demanding therapy， liver cirrhosis， use of systemic glucocorticosteroids， and traditional Chinese medicine syndrome （phlegm and stasis obstructing the lung）. The nomogram model showed good discrimination and calibration in both the training set （AUC=0.748） and validation set （AUC=0.774）. ConclusionThe risk prediction model for frequent acute exacerbations of COPD， integrating traditional Chinese medicine syndrome， constructed in this study has high accuracy. It can provide a scientific basis for early clinical identification of high-risk patients and individualized intervention.

Background and aims Hepatocellular carcinoma (HCC) cells are metabolically reprogrammed for excessive uptake and metabolism of many nutrients. The tumor suppressive microRNA-148a-3p (miR-148a-3p) is downregulated in HCC, whereas its function in regulating HCC cell metabolism remains obscure. Herein we aimed to delineate the role of miR-148a-3p in HCC cell metabolism by using novel bioengineered miR-148a-3p (BioRNALeu/miR-148a-3p) agent produced in vivo. Methods BioRNALeu/miR-148a-3p was designed by using human leucyl transfer RNA fused hsa-pre-miR-34a carrier, overexpressed in Escherichia coli (E. coli), and purified to high homogeneity. After transfection into HCC cells, the released miR-148a-3p levels were assessed by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Cell proliferation was determined by CellTiter-Glo assays. Targets were validated by dual-luciferase reporter assays, immunoblotting, and immunofluorescence confocal imaging. Glycolysis capacity was evaluated by Seahorse XF assays, and glucose, lactate, and amino acid levels were quantified by liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods. Results BioRNALeu/miR-148a-3p was efficiently processed into target miR-148a-3p in HCC cells to effectively inhibit cell proliferation in a dose- and time-dependent manner. Mechanistically, miR-148a-3p suppressed the protein levels of glucose transporter GLUT1/SLC2A1 and L-type amino acid transporter LAT1/SLC7A5 via acting on their 3′-untranslated regions, as well as amino acid transporter ASCT2/SLC1A5. These, in turn, led to a reduction of glucose uptake, lactate production, and glycolytic flux in HCC cells, and alteration of intracellular amino acid metabolome including glutamine, leucine, phenylalanine, tyrosine, and methionine. Conclusions Reintroduction of miR-148a-3p into HCC cells modulates glucose and amino acid metabolism via regulating multiple SLC transporters, thereby suppressing HCC cell viability. These findings highlight the role of miR-148a-3p in HCC cell metabolism and potential of bioengineered miRNA molecules for functional studies and therapeutic development.

A method for determining volatile organic compounds(VOCs)in environmental air samples using thermal desorption-gas chromatography/mass spectrometry(TD-GC/MS)was developed.The qualitative and quantitative analyses of 103 kinds of VOC species were achieved under the optimal conditions such as cold trap desorption temperature and time during the thermal desorption process,combined with full-scan data acquisition using an electron impact ionization source.With a sampling volume of 3.0 L,the method exhibited detection limits of 0.1-0.5 μg/m3 and quantitation limits of 0.4-2.0 μg/m3.At spiked concentrations of 1.0 μg/m3 and 10.0 μg/m3,the recoveries ranged from 60.5%to 118.0%,with relative standard deviations varying from 2.37%to 18.70%.Furthermore,all target compounds showed correlation coefficients(R2)exceeding 0.997 across their respective concentration ranges,demonstrating that the method had high accuracy and reliability.Using this method,a study was conducted to investigate the spatial variations and source apportionment of VOCs across urban,suburban,and rural sites in Anyang,a representative industrial city,during the summer season.The results revealed significant differences in VOC concentrations among the three regions.The urban site recorded the highest concentration at 40.1 μg/m3,followed by the rural site at 23.5 μg/m3,while the suburban site had the lowest concentration of 9.74 μg/m3.With regard to compositional characteristics,alkanes were the dominant components in the urban and rural areas,whereas oxygenated VOCs were predominant in the suburban site.The ozone formation potential(OFP)also varied significantly across regions:96.0 μg/m3 in urban areas,72.0 μg/m3 in rural areas,and only 27.6 μg/m3 in suburban areas.Alkenes were identified as the primary contributors to the total ozone formation potential(TOFP)in all regions,highlighting their critical role in atmospheric oxidation processes.Source apportionment analysis using the positive matrix factorization(PMF)model identified combustion sources,natural sources,chemical industry emissions,industrial emissions,solvent use,and vehicle emissions as the major sources of VOCs in Anyang during summer.Notably,chemical industry emissions and combustion sources were dominant in urban and rural areas,whereas combustion sources and natural sources were more prominent in the suburban area,reflecting distinct emission patterns and anthropogenic activities across the regions.

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 application effect of strengths,weaknesses,opportunities and threats(SWOT)analysis-guided risk control management in patients with atherosclerotic obliterans(ASO).Methods:This randomized controlled study enrolled 105 ASO patients admitted in Chinese People's Liberation Army Rocket Force Characteristic Medical Center between November 2017 and November 2022.They were divided into control group(n=52,routine nursing)and intervention group(n=53,SWOT analysis-guided risk control management).Renal function,postoperative recovery,psychological status,sleep quality,pain,incidence of adverse reactions and nursing satisfaction were compared between two groups.Results:3 d after surgery,compared with patients in con-trol group,those in intervention group had significant lower cystatin C(CysC)[(1.04±0.11)mg/L vs.(1.40±0.12)mg/L],serum creatinine(Scr)[(70.70±6.48)μmol/L vs.(82.93±9.32)μmol/L]and urinary protein[(2.38±0.13)g/L vs.(3.56±0.17)g/L](P＜0.001 all);7d after surgery,compared with patients in control group,those in intervention group had significant lower incidence of adverse reactions(7.55％vs.23.08％),scores of self-rating anxiety scale(SAS)[(34.09±3.40)points vs.(39.50±3.12)points],self-rating depression scale(SDS)[(24.42±3.34)points vs.(32.04±2.77)points],Pittsburgh sleep quality index(PSQI)[(7.09±1.48)points vs.(10.19±1.65)points]and visual analogue scale(VAS)[(3.09±0.84)points vs.(4.33±1.15)points],and significant higher limp distance[(2407.89±130.09)m vs.(1521.26±102.26)m]and ankle-brachi-al index[(0.87±0.03)vs.(0.62±0.04)](P＜0.05 or＜0.01).After discharge,nursing satisfaction in inter-vention group was significantly higher than that of control group(92.45％vs.73.08％,P=0.008).Conclusion:SWOT analysis-guided risk control management could effectively reduce the damage of renal function caused by in-terventional surgery,reduce pain,improve negative emotion and sleep quality,and reduce incidence of adverse e-vents after surgery in patients with arteriosclerosis obliterans.

The development of breast cancer is closely related to the information transfer in its microenvironment.As a novel information communication tool,exosomes present non-coding RNAs that are involved in breast cancer cell proliferation,migration,invasion,tumour-associated fibroblasts ogenesis,cell cycle,degradation of oncogenes,etc.This paper reviews the relationship between exosomes and the tumour microenvironment and the role of their presenting non-coding RNAs on breast cancer as well as their clinical applications in order to provide new ideas for biological research and therapeutic strategies.

Objective:To perform RHD gene detection on a blood sample with serological weak D phenotype.Methods:A specimen received by the People's Hospital of Zhijin County was serologically identified by the microcolumn gel method and saline method.RHD gene detection was conducted by the PCR-SSP method,and the full sequence determination of the 10 exons amplified was performed.The sequencing results were compared with the ISBT database to determine the genotype.Bioinformatics tool was used to predict the functional damage of mutant proteins,and Alphafold-3 was used for tertiary structural modeling of wild-type and mutant RhD proteins,and the structures of the two proteins were compared and analyzed to explore the reasons why mutations lead to weak serological manifestations.Results:The patient's genotype was identified as RHD*DV.5/RHD*01N.01 heterozygote,with the complete deletion of RHD genes on one chromosome,unable to express the D antigen.On the other chromosome,a G＞A mutation occurred at the 697th base of the 5th exon,resulting in a partial D phenotype.This mutation causes internal hydrogen bond changes at the 233 position of RhD protein,resulting in a change in the conformation of the protein,affecting binding to the corresponding antibody.Conclusion:The patient is a heterozygous mutant individual with RHD*DV.5/RHD*01N.01,exhibiting a partial D phenotype serologically.This variation is extremely rare and has been scarcely reported globally.

Radiation-induced thrombocytopenia(RIT)faces a perplexing challenge in the clinical treatment of cancer patients,and current therapeutic approaches are inadequate in the clinical settings.In this research,oxy-matrine,a new molecule capable of healing RIT was screened out,and the underlying regulatory mecha-nism associated with magakaryocyte(MK)differentiation and thrombopoiesis was demonstrated.The capacity of oxymatrine to induce MK differentiation was verified in K-562 and Meg-01 cells in vitro.The ability to induce thrombopoiesis was subsequently demonstrated in Tg(cd41:enhanced green fluorescent protein(eGFP))zebrafish and RIT model mice.In addition,we carried out network pharmacological pre-diction,drug affinity responsive target stability assay(DARTS)and cellular thermal shift assay(CETSA)analyses to explore the potential targets of oxymatrine.Moreover,the pathway underlying the effects of oxymatrine was determined by Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses,Western blot(WB),and immunofluorescence.Oxymatrine markedly promoted MK differentiation and maturation in vitro.Moreover,oxymatrine induced thrombopoiesis in Tg(cd41:eGFP)zebrafish and accelerated thrombopoiesis and platelet function recovery in RIT model mice.Mechanistically,oxymatrine directly binds to toll-like receptor 2(TLR2)and further regulates the downstream pathway stimulator of interferon genes(STING)/nuclear factor-kappaB(NF-κB),which can be blocked by C29 and C-176,which are specific inhibitors of TLR2 and STING,respectively.Taken together,we demonstrated that oxymatrine,a novel TLR2 agonist,plays a critical role in accelerating MK differentiation and thrombopoiesis via the STING/NF-κB axis,suggesting that oxymatrine is a promising candidate for RIT therapy.