ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Objective: To investigate the current status of personnel structure and service development of blood transfusion departments/blood banks in medical institutions across China, and to provide evidence for discipline construction. Methods: A questionnaire survey was conducted among 3 117 medical institutions in 31 provinces via the Chinese Medical Doctor Association-Blood Transfusion Physician Branch. Data on department naming, staff composition, professional titles, background, and services were analyzed descriptively. Results: Overall, 71.9% of departments were named "Blood Transfusion Department", while 26.4% were still "Laboratory/Blood Bank". Technicians accounted for 86%, physicians only 9%, and nurses 3%. The average number of physicians per tertiary hospital was 0.92, compared to 0.12 in secondary hospitals, with marked regional disparities. Among physicians, 44.5% had a laboratory background and 43.9% clinical background; 3.3% of physicians switched to technician due to promotion barriers. Basic serological tests (ABO/RhD:99.4%; antibody screening:96.2%) were widely available, but advanced tests (antibody identification:18.7%; platelet antibody: 18.2%) remained insufficient. Overall, 70.5% of departments offered therapeutic procedures, mainly autotransfusion (24.5%) and platelet-rich plasma (PRP) collection (20.4%); plasma exchange was only 15.9%, and 29.5% performed no therapeutic services. Conclusion: Transfusion departments in China are still in the early stage of transitioning from traditional medical technology departments to clinical disciplines. The development of the discipline is constrained by administrative disciplinary positioning, talent construction and internal service capacity. Meanwhile, emerging services including transfusion consultations and specialized outpatient clinics have gained initial momentum.

Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

Patients with advanced pregnancy complicated by acute ST-segment elevation myocardial infarction are relatively rare both domestically and internationally,and there are currently no relevant guidelines to guide clinical treatment.In this case,a 39-year-old pregnant woman was admitted to the hospital with sudden chest pain,and the electrocardiogram showed extensive anterior ST-segment elevation myocardial infarction.Coronary angiography showed subtotal subtotal occlusion of the proximal left anterior descending artery.Reperfusion and revascularization were given,and the blood flow grade of the trial of thrombolytic in myocardial infarction was restored.Complete intravascular ultrasonography to determine the cause of occlusion due to spontaneous hematoma of the left anterior descending artery.After the operation,a reasonable antiplatelet and anticoagulant treatment regimen was selected according to the coronary artery lesion,and the pregnancy was terminated at the appropriate time,and 1 live male baby was successfully delivered.Maternal and fetal health was followed up after 1、3 and 6 months.Through the experience and summary of the treatment process,combined with the literature,the pathogenesis of this disease is discussed,and the strategy of revascularization,the selection of antithrombotic drugs and the timing of pregnancy termination are discussed in depth for clinical reference.

Aim To investigate the effects of breast cancer-related depression model on microglial activa-tion and neuronal function via the NLRP3-COX-2 sig-naling pathway.Methods In the cell experiment,BV2 and HT22 cells were co-cultured to observe the polarization of BV2 cells and the injury of HT22 cells.In the animal experiment,behavioral experiments were used to evaluate the depressive behaviors of mice.HE staining and tumor weight were used to evaluate the changes of axillary tumors.ELISA was used to detect the contents of CA153,CA125,CEA,as well as the changes in the contents of 5-HT,DA and others in the serum and hippocampus.RT-qPCR and immunohisto-chemistry were used to detect the mRNA and protein expression of IL-1 β,IL-18 and other indicators,re-spectively.Immunofluorescence was used to detect CD1 1b and Iba-1.Nissl staining and transmission elec-tron microscopy were used to observe the hippocampal neurons.Results The results of cell experiments showed that compared with the model group,the pro-tein contents and mRNA expression levels of NLRP3,COX-2,and IL-1 β in the NLRP3 knockdown group were all decreased.The results of animal experiments showed that compared with the model group,the be-havioral performance of the experimental group was im-proved,and the mRNA and protein expression levels of IL-1 β,IL-18,and NLRP3 were decreased.Conclu-sion BCRD may mediate the polarization of microglia and the injury of hippocampal neurons through the NL-RP3-COX-2 signaling pathway.

Objective To design an 8-channel gene analyzer to take the place of the widely used gene analyzer with problems in inconvenient consumable replacement and short storage time of electrophoresis polymer.Methods The 8-channel gene analyzer had its mechanical components composed of an automatic sample loading table,a polymer injection module,a high-voltage temperature control module,an optical module and an integrated U box,its electrical control system made up of a host computer(an embedded computer)and three slave computers(a sampling control board,a polymer injection control board and a high-voltage temperature control board).The automatic sample loading table involved in four motors and transmission systems for x,y,z directions and optical alignment,the transmission systems adopted mainly belt drive mode and the optical alignment motor had its threads with an anti-backlash structure;the polymer injuection module was manipulated by the polymer injection control board,and the polymer block was made of highly transparent acrylic material;the high-voltage temperature control module realized the regulation of electrophoresis voltage and the detection of electrophoresis current by the low-ripple precision high-voltage power supply,and controlled the temperature of the heating furnace by the proportional-integral-differential(PID)algorithm;the optical module consisted of an excitation module and a light-receiving module,which had the base of the reflector made of low expansion coefficient alloy material;the integrated U box had the electrophoresis polymer,capillary array,polymer block and anode buffer in a plastic housing;the host computer had the data acquisition software programmed with C# and C++,and the slave computers were controlled by STM32 SCM.Results The 8-channel gene analyzer had no significant differences with the widely used ABI3500 gene analyzer in resolution,precision accuracy and clinical results.Conclusion The 8-channel gene analyzer gains advantages in consumable replacement and storage time of electrophoresis polymer,and can meet the requirements for gene sequencing.[Chinese Medical Equipment Journal,2025,46(2):24-30]

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

OBJECTIVE To understand the disinfectant-resistant genes in the gram-negative bacteria isolated from the dirt retention on air recure filters of air conditioners and observe the drug resistance.METHODS The dirt re-tention samples were collected from the air return filters of air conditioners of some wards in 3 hospitals of Wuhan(Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology,Wuhan Central Hospital,and Hubei Provincial Maternal and Child Health Hospital)from 2018 to 2024.The gram-negative bac-teria were screened out,the disinfectant-resistant genes in the strains were detected by polymerase chain reaction(PCR),and the results of drug susceptibility test were analyzed.RESULTS Of 354 dirt retention samples that were collected from the air return filers of air conditioners,77 were detected with 138 strains of gram-negative bacteria,87 of which were Acinetobacter baumannii,50 were Enterobacteriaceae,and 1 was Pseudomonas aerug-inosa.The detection rates of qacEΔ1,qacEΔ1-sul1,aceI and qacA/B were 73.19％,82.61％,69.57％and 2.90％,respectively.None of the strains were detected with qacC,qacH or qacJ.The result of drug susceptibility test showed that 76.81％of the gram-negative bacteria were resistant to at least 1 type of antibiotic;93 strains of multidrug-resistant gram-negative bacteria were isolated,most of which were isolated from intensive care unit(ICU).The detection rates of qacEΔ1 and qacEΔ1-sul1 were higher in the drug-resistant strains than those in the non-drug-resistant strains;there were significant differences in the drug resistance rates to carbapenems,quin-olones and β-lactams between the qacEΔ1-sul 1-positive strains and the qacEΔ1-sul1-negative strains(P＜0.05).CONCLUSIONS There are drug-resistant gram-negative bacteria contaminations in some wards of the 3 hospitals in Wuhan.The carrying rates of disinfectant-resistant genes of the strains are high,and the strains show varying degree of resistance to the commonly used antibiotics;the strains carrying the qacEΔ1-sul1 have certain statistical association with the drug resistance.It is suggested that the hospital should take targeted disinfec-tion measures for the environment and reasonably use antibiotics.

Dental fluorosis is a chronic fluorosis manifestation characterized by tooth discoloration and structural abnormalities, resulting from excessive fluoride intake through respiratory and digestive systems during tooth development. This exposure inhibits ameloblast differentiation and disrupts enamel crystal formation and mineralization processes. While the exact pathogenesis remains unclear, this review systematically examines recent underlying mechanisms of dental fluorosis in the past five years, focusing on endoplasmic reticulum stress, Ca 2+ homeostasis imbalance, gene expression abnormalities, autophagy dysregulation, and microRNA-mediated regulatory pathways, in order to gain a deeper understanding of its pathogenesis at the molecular level and provide theoretical basis for prevention and treatment of dental fluorosis.