Community-acquired pneumonia （CAP） refers to an infectious inflammation of the lung parenchyma （including the alveolar wall，that is，the broad pulmonary interstitium） acquired outside the hospital. Its common pathogens include streptococcus pneumoniae，respiratory viruses， mycoplasma pneumoniae， and so on. The related factors for the occurrence and development of CAP include patient characteristics （immune function，mucus production and clearance function，coagulation function，physical condition， and comorbidity） and pathogen characteristics （susceptibility，virulence，and antibiotic resistance）. The pathogenesis of CAP lies in immune deficiency，pathogen invasion，inflammatory response disorder，mucus production and clearance disorder， coagulation disorder， and so on. The pathogenesis of CAP in traditional Chinese medicine can be described as "vital Qi deficiency and toxic stasis". Vital Qi deficiency （lack of immunity） is the potential pathogenesis of the disease and easy to be invaded by external pathogens （respiratory pathogens）. Toxic stasis （inflammatory disorder，mucus production and clearance disorder，and coagulation dysfunction） is the key pathogenic factor. Vital Qi deficiency and toxic stasis are intermingled in a state of deficiency and excess，which suggests that the treatment of CAP lies in strengthening vital Qi and eliminating pathogenic factors. This involves strengthening vital Qi in the whole process to consolidate body resistance and nourish promordial Qi. It also involves clearing heat，eliminating phlegm，removing dampness，and dispelling stasis to dispel pathogenic toxins based on the syndrome differentiation. Its action mechanism is to regulate immune and inflammatory responses，resist pathogens，and improve mucus production and clearance， as well as coagulation disorders. Starting from the key pathogenesis of CAP，"vital Qi deficiency and toxic stasis"， this paper discussed the pathogenesis of CAP and summarized the action mechanism of vital Qi strengthening for detoxification in its treatment. It is intended to complement the theoretical system by identifying "vital Qi deficiency and toxic stasis" as the key pathogenesis underlying CAP and the scientific connotation of treating CAP with vital Qi strengthening for detoxification，thereby providing insights for its clinical application.

Objective To examine the impact of extreme temperature and drought stress on the survival of Bulinus globosus, so as to provide the theoretical evidence for the genomic research of Bulinus in absence of reference genes. Methods B. globosus snail samples were collected from Kiwani Shehia in Pemba Island, Zanzibar, Tanzania, and offspring snails were obtained through laboratory breeding and reproduction. A total of 120 10-week-old B. globosus snails from the same generation were selected and randomly assigned into four groups, including the high-temperature drought (HD) group, normal temperature drought (D) group, low-temperature drought (LD) group, and the control (C) group, of 30 snails in each group. Snails in HD, D, and LD groups were placed in beakers containing dry soil at the bottom and subsequently housed in climate chambers at 35, 26 ℃, and 10 ℃, respectively, while snails in Group C were maintained in 500 mL petri dishes containing dechlorinated tap water at 26 ℃. Following 3 days of breeding, living snails in each group were collected, and soft tissues were dissected and isolated. Total RNA was extracted from snail soft tissues for library construction, followed by high-throughput sequencing on the Illumina HiSeq 4000 sequencing system. De novo transcriptome assembly was performed using the Trinity software, and the longest transcripts were selected as unigenes. Gene functional annotations of unigenes were conducted using the Diamond software against Gene Ontology (GO) knowledgebase, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database, NCBI non-redundant (NR) protein sequences database, Protein Family (Pfam) database, and UniProtKB/Swiss-Prot (Swiss-Prot) knowledgebase. GO and KEGG enrichment analyses of differentially expressed genes (DEGs) were performed using the topGO and clusterProfiler software, respectively. In addition, four relevant genes were selected for validation using a real-time quantitative PCR (qRT-PCR) assay to verify the reliability of transcriptome sequencing results. Results Following 3 days of breeding, there were 7, 20, 28, and 30 survival B. globosus snails in HD, LD, D, and C groups, with corresponding survival rates of 23.33% (7/30), 66.67% (20/30), 93.33% (28/30), and 100.00% (30/30), respectively (χ² = 52.72, P < 0.001). De novo transcriptome assembly generated 176 942 unigenes, with annotation rates of 0.98%, 13.49%, 26.46%, 12.48%, and 14.39% against GO knowledgebase, KEGG pathway database, NR protein sequences database, Pfam database, and Swiss-Prot knowledgebase, respectively. There were 33 up-regulated and 72 down-regulated genes in Group D, 483 up-regulated and 815 down-regulated genes in Group HD, and 245 up-regulated and 172 down-regulated genes in Group LD relative to in Group C. Following removal of overlapping genes across groups and unmatched genes, 11 candidate genes were identified. GO and KEGG analyses revealed 3 heat shock protein (HSP)-related DEGs in these 11 candidate genes, which were annotated as HSP12.2, HSP70, and HSP20 genes and were all significantly up-regulated in each treatment group. Three immune and nervous system-related DEGs were identified, and were all significantly down-regulated in each treatment group, which were involved in the neural cell adhesion molecule L1-like protein pathway, fibrinogen binding protein pathway, and leukocyte elastase inhibitor-like protein pathway. qRT-PCR assay quantified that the expression trends of four genes related to temperature and drought stress across different treatment groups were highly consistent with transcriptome sequencing data. Conclusion The survival rate of B. globosus significantly reduces under combined stresses of extreme temperature and drought, possibly due to an imbalance in its cellular homeostasis regulatory system.

Objective·To optimize iSeroSnFR,a genetically encoded 5-hydroxytryptamine(5-HT)fluorescent sensor based on bacterial periplasmic binding proteins(PBPs),to enhance its performance for both in vivo and in vitro 5-HT detection.Methods·iSeroSnFR1.2 was engineered by replacing the circularly permuted superfolder green fluorescence protein(cpsfGFP)sequence in iSeroSnFR1.0 with that from the acetylcholine sensor iAChSnFR using Gibson assembly.The fluorescence response and kinetic properties of iSeroSnFR1.0 and iSeroSnFR1.2 were compared by overexpressing the sensors in HEK293 cells and puffing with exogenous 5-HT.Additionally,to mimic physiological conditions,cultured mouse cortical neurons infected with Sindbis virus carrying each sensor were electrically stimulated to induce endogenous 5-HT release and further evaluate sensor performance.Results·iSeroSnFR1.2 showed significantly improved performance over iSeroSnFR1.0.In HEK293 cells,it exhibited a 1.5-fold increase in fluorescence response(ΔF/F0)to exogenous 5-HT,along with faster kinetics(rise time:36.3 ms vs 44.9 ms;decay time:1 003.6 ms vs 1 730.4 ms).In cortical neurons,it demonstrated a 2.7-fold increase in response to endogenously released 5-HT,with rise and decay times reduced by 44.0%and 26.7%,respectively.Notably,iSeroSnFR1.2 showed increased basal fluorescence,enabling better imaging in high-background environments.Conclusion·The optimized iSeroSnFR1.2 sensor offers a markedly improved fluorescent response and temporal resolution for 5-HT detection,providing an advanced tool for studying 5-HT dynamics in neuroscience and psychiatric research.

Objective:Micro-and nanostructures with sharp disordered and rounded ordered features were fabricated on titanium surfaces,respectively,and their osteogenic potential was evaluated both in vitro and in vivo.Methods:Sharp disordered titanium surfaces(SLA-Ti)and rounded ordered titanium surfaces(Laser-Ti)were prepared using sandblast acid etching and high-repeti-tion-rate femtosecond laser,respectively.Smooth titanium(Ti)was used as the control group,SLA-Ti and Laser-Ti were used as the experimental groups.Characterization was conducted using scanning electron microscopy coupled with hydrophilicity assess-ments.The adhesion,elongation,and osteogenic differentiation capabilities of osteoblasts in vitro were evaluated through cell mor-phology observations,cytoskeletal fluorescence staining,cell viability assays,and PCR experiments.Osteogenic potential in vivo of rabbits was assessed through Micro CT scans and histological staining(HE and Masson).Results:The surface of Laser-Ti exhibits a rounded,ordered,multi-scale micro-and nano-morphology with the best hydrophilicity(P＜0.01).In vitro,it promotes cell adhe-sion,extension,and osteogenic differentiation,while in vivo,it enhances bone regeneration around the implants.Overall,a trend of Laser-Ti＞SLA-Ti＞Ti is observed,with a higher bone volume fraction(BV/TV)(P＜0.05),greater trabecular thickness(Tb.Th)(P＜0.05),an increased number of trabeculae(Tb.N)(P＜0.05),and a larger area of bone around the implants(P＜0.05).Conclusion:The rounded ordered micro-and nano-structures fabricated using high-repetition-rate fem-tosecond laser demonstrate enhanced osteoinductive capac-ity both in vitro and in vivo.

Objective:Micro-and nanostructures with sharp disordered and rounded ordered features were fabricated on titanium surfaces,respectively,and their osteogenic potential was evaluated both in vitro and in vivo.Methods:Sharp disordered titanium surfaces(SLA-Ti)and rounded ordered titanium surfaces(Laser-Ti)were prepared using sandblast acid etching and high-repeti-tion-rate femtosecond laser,respectively.Smooth titanium(Ti)was used as the control group,SLA-Ti and Laser-Ti were used as the experimental groups.Characterization was conducted using scanning electron microscopy coupled with hydrophilicity assess-ments.The adhesion,elongation,and osteogenic differentiation capabilities of osteoblasts in vitro were evaluated through cell mor-phology observations,cytoskeletal fluorescence staining,cell viability assays,and PCR experiments.Osteogenic potential in vivo of rabbits was assessed through Micro CT scans and histological staining(HE and Masson).Results:The surface of Laser-Ti exhibits a rounded,ordered,multi-scale micro-and nano-morphology with the best hydrophilicity(P＜0.01).In vitro,it promotes cell adhe-sion,extension,and osteogenic differentiation,while in vivo,it enhances bone regeneration around the implants.Overall,a trend of Laser-Ti＞SLA-Ti＞Ti is observed,with a higher bone volume fraction(BV/TV)(P＜0.05),greater trabecular thickness(Tb.Th)(P＜0.05),an increased number of trabeculae(Tb.N)(P＜0.05),and a larger area of bone around the implants(P＜0.05).Conclusion:The rounded ordered micro-and nano-structures fabricated using high-repetition-rate fem-tosecond laser demonstrate enhanced osteoinductive capac-ity both in vitro and in vivo.

Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]

OBJECTIVE To explore the effect of failure mode and effect analysis(FMEA)on management of hospi-tal-associated infections(HAIs)in hemodialysis center.METHODS In Nov.2023,the risk priority number(RPN)integrated with action priority(AP)was adopted to identify,analyze and evaluate the risk factors in man-agement of HAIs in hemodialysis center of Tongji Hospital Affiliated to Tongji Medical College,Huazhong Uni-versity of Science and Technology by FMEA method.The high risk points that needed to be taken interventions were screened out,and the targeted measures were formulated to control the risks.At the end of the intervention period,a second round of risk assessment was carried out for improvement status of the high-risk points in Nov.2024,and the effect on the management of HAIs was evaluated.RESULTS The risk assessment was carried out for 48 risk points covering eight aspects,including organizational structure,self-inspection and supervision,staff management,environmental layout,cleaning and disinfection,surveillance,operation procedures and i-tem management.There were 9 risk points with the RPN values greater than 125,3 of which were with the AP value of"H".There were 8 risk points with the RPN value less than 125 and 6 risk points with the AP value drop-ping down to L after the targeted intervention measures were taken,indicating that the risk management has a-chieved favorable effect.CONCLUSIONS The RPN and AP integrated with FMEA can accurately identify the high-risk points in the quality management of the hemodialysis center.It is necessary to take targeted interven-tion measures so as to boost the effect on prevention and control of HAIs in the hemodialysis center and reduce the risk of HAIs in the hemodialysis patients.

ObjectiveTo explore the pathological mechanism-syndrome-treatment patterns of approved Chinese patent medicines （CPMs） that treat collateral disorders， providing a reference for the principle of "treating different diseases with the same therapy" in collateral pathology. MethodsCPMs that apply treatment strategies based on collateral disorders were identified from the Pharmacodia database by extracting information from the "efficacy" or "indications" sections of drug package inserts. A database was established to extract the names and compositions of the CPMs， as well as their indications， related traditional Chinese medicine （TCM） symptoms， disease locations （affected areas）， and pathological factors. Frequency statistics were performed. Using the Apriori algorithm， an association rule analysis was conducted on CPMs and disease-location combinations related to the top three most frequent pathological factor combinations. Core formulas for these combinations were identified and analyzed through drug network analysis and MCODE module clustering. ResultsA total of 660 CPMs targeting collateral disorders were retrieved， involving 299 indications， 323 TCM symptoms， 21 disease locations， 19 pathological factors， and 124 pathological factor combinations. The most frequent pathological factor combinations were blood stasis （involved in 109 CPMs， 16.52%）， exogenous wind （外风） -cold-dampness （involved in 43 CPMs， 6.52%）， and qi deficiency-blood stasis （involved in 42 CPMs， 6.36%）. Analysis of the core formulas for these combinations revealed common ingredients such as Honghua （Carthami Flos）， Chuanxiong （Chuanxiong Rhizoma）， Danggui （Angelicae Sinensis Radix）， and Dilong （Pheretima）. ConclusionCollateral disorders involve a wide range of pathogenesis and represent a fundamental mechanism in the onset and development of various diseases， characterized by obstruction and stagnation. The primary therapeutic principle is unblocking of the collaterals. Blood stasis obstructing the collaterals is the core pathological basis， and the strategy of activating blood circulation and resolving stasis to unblock the collaterals should be central to the treatment. The core medication pattern involves combining blood-activating and stasis-resolving herbs with insect-derived medicinals that unblock collaterals. Exogenous wind is often the initiating patholo-gical factor in colla-teral disorders， and the appropriate addition of wind-dispelling herbs can enrich the treatment strategies for such conditions.

Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]

The principle of treating different diseases with the same therapy is the essence of syndrome differentiation and treatment in traditional Chinese medicine （TCM）. It means that when the same pathogenic changes or the same symptoms appear in the development of different diseases， the same principles or methods can be used for treatment. Due to the complexity and high variability of viral pathogenicity， the precise and effective treatment of different types of viral pneumonia （VP） has always been a research focus and difficulty in modern medicine. VP belongs to the category of external-contraction febrile disease， warm disease， and epidemic in TCM. Haoqin Qingdantang （HQQDD） is a representative formula for clearing heat and dispelling dampness in warm diseases， and its intervention in VP caused by various viral infections has significant effects. This study， guided by the theory of treating different diseases with the same therapy， links the related studies on using HQQDD to treat different types of VP and finds that influenza virus pneumonia （IVP）， severe acute respiratory syndrome （SARS）， and COVID-19 all have a common pathogenic mechanism of dampness-heat at different stages of respective diseases. When these diseases are dominated by damp-heat factors， the use of HQQDD yields remarkable therapeutic effects. Modern pharmacological studies have confirmed that HQQDD can inhibit virus replication， reduce fever reactions， inhibit the expression of inflammatory mediators， and regulate immune balance. Moreover， the sovereign medicine in this formula has excellent antiviral activity， and the formula reflects rich scientific connotations of treating VP. According to the theory of treating different diseases with the same therapy and based on the effective treatment practice and modern pharmacological research of HQQDD for different types of VP， this paper mines the underlying TCM theory of treatment with the same therapy， explores the syndrome differentiation and treatment strategy and effect mechanism of this formula for different types of VP， and analyzes the treatment mechanism and characteristics， with the aim of providing evidence and reference for the clinical application and modern research of HQQDD.