ObjectiveTo observe the effects of Yiqi Huoxue Jiedu formula（YHJF） on immune cell exhaustion in the spleen of septic mice and to explore and validate its potential intervention targets. MethodsMice were randomly divided into the sham-operated， model， low-dose YHJF（4.1 g·kg^-1）， and high-dose YHJF（8.2 g·kg^-1） groups. Except for the sham-operated group， a cecal ligation and puncture（CLP） procedure was performed to establish a mouse sepsis model. The treatment groups received oral administration of the corresponding doses， while the sham-operated and model groups received an equal volume of physiological saline. After the intervention， the 7-day survival rate of each group was recorded， and spleen samples were collected 72 h post-intervention， and the spleen index was calculated. Terminal deoxynucleotidyl transferase deoxyuridine triphosphate（dUTP） nick end labeling（TUNEL） staining was used to detect apoptosis in spleen cells. Enzyme-linked immunosorbent assay（ELISA） was performed to measure the levels of interleukin（IL）-4 and IL-10 in the serum. Transcriptomics and metabolomics were used to screen for differentially expressed genes（DEGs） and differential metabolites in the spleen， followed by bioinformatics analysis to identify key targets. Real-time quantitative polymerase chain reaction（Real-time PCR）， flow cytometry， and multiplex immunofluorescence were used to verify the expressions of key genes and proteins. ResultsThe high-dose YHJF group significantly improved the 7-day survival rate of septic mice（P0.05）. Compared with the sham-operated group， the model group showed a significant increase in apoptosis of spleen cells and a decrease in the spleen index at 72 h post-modeling， with markedly elevated peripheral serum IL-4 and IL-10 levels（P0.01）. Compared with the model group， the high-dose YHJF group showed a reduction in apoptosis of spleen cells， an increase in the spleen index， and a significant decrease in peripheral serum IL-4 and IL-10 levels（P0.05）. Spleen transcriptomics identified 255 DEGs between groups， potentially serving as intervention targets for YHJF. Gene Ontology（GO） enrichment analysis revealed that DEGs were mainly involved in biological processes such as natural killer（NK） cell-mediated positive immune regulation， cell killing， cytokine production， positive regulation of innate immune cells， and interferon production. Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis showed that DEGs were mainly involved in cytokine-cytokine receptor interactions， viral protein interactions with cytokines and cytokine receptors， chemokine signaling pathway， and nuclear transcription factor-κB（NF-κB） signaling pathway. Protein-protein interaction（PPI） network analysis identified CD160， granzyme B（GZMB）， and chemokine ligand 4（CCL4） as key targets for YHJF in treating sepsis. Metabolomics identified 46 differential metabolites that were significantly reversed by YHJF intervention， and combined transcriptomics and metabolomics analysis identified 17 differential metabolites closely related to CD160. Pathway enrichment revealed that these metabolites were mainly involved in glycerophospholipid metabolism， arachidonic acid metabolism， glycosylphosphatidylinositol（GPI） anchor biosynthesis， linoleic acid metabolism， and α-linolenic acid metabolism pathways. Verification results showed that， compared with the sham-operated group， the model group exhibited significantly elevated CD160 mRNA expression level in the spleen， along with markedly decreased CCL4 and GZMB mRNA expression， and had a significant increase in CD160 expression on the surface of natural killer T（NKT） cells in the spleen（P0.01）. Compared with the model group， the high-dose YHJF group had a significant decrease in CD160 mRNA expression in the spleen， a significant increase in CCL4 and GZMB mRNA expressions. Further flow cytometry and immunofluorescence revealed that compared with the sham-operated group， CD160 expression on the surface of splenic NKT cells in the model group was significantly increased（P0.01）， while high-dose YHJF intervention significantly reduced CD160 expression（P0.01）. ConclusionYHJF may alleviate NKT cell exhaustion in sepsis by downregulating the expression of the negative co-stimulatory molecule CD160， and this regulatory effect is closely related to fatty acid metabolism pathways. This study provides new insights and targets for further exploration of strengthening vital Qi and detoxifying strategy to improve immune cell exhaustion in acute deficiency syndrome of sepsis.

ObjectiveTo observe the effects of Yiqi Huoxue Jiedu formula（YHJF） on immune cell exhaustion in the spleen of septic mice and to explore and validate its potential intervention targets. MethodsMice were randomly divided into the sham-operated， model， low-dose YHJF（4.1 g·kg^-1）， and high-dose YHJF（8.2 g·kg^-1） groups. Except for the sham-operated group， a cecal ligation and puncture（CLP） procedure was performed to establish a mouse sepsis model. The treatment groups received oral administration of the corresponding doses， while the sham-operated and model groups received an equal volume of physiological saline. After the intervention， the 7-day survival rate of each group was recorded， and spleen samples were collected 72 h post-intervention， and the spleen index was calculated. Terminal deoxynucleotidyl transferase deoxyuridine triphosphate（dUTP） nick end labeling（TUNEL） staining was used to detect apoptosis in spleen cells. Enzyme-linked immunosorbent assay（ELISA） was performed to measure the levels of interleukin（IL）-4 and IL-10 in the serum. Transcriptomics and metabolomics were used to screen for differentially expressed genes（DEGs） and differential metabolites in the spleen， followed by bioinformatics analysis to identify key targets. Real-time quantitative polymerase chain reaction（Real-time PCR）， flow cytometry， and multiplex immunofluorescence were used to verify the expressions of key genes and proteins. ResultsThe high-dose YHJF group significantly improved the 7-day survival rate of septic mice（P0.05）. Compared with the sham-operated group， the model group showed a significant increase in apoptosis of spleen cells and a decrease in the spleen index at 72 h post-modeling， with markedly elevated peripheral serum IL-4 and IL-10 levels（P0.01）. Compared with the model group， the high-dose YHJF group showed a reduction in apoptosis of spleen cells， an increase in the spleen index， and a significant decrease in peripheral serum IL-4 and IL-10 levels（P0.05）. Spleen transcriptomics identified 255 DEGs between groups， potentially serving as intervention targets for YHJF. Gene Ontology（GO） enrichment analysis revealed that DEGs were mainly involved in biological processes such as natural killer（NK） cell-mediated positive immune regulation， cell killing， cytokine production， positive regulation of innate immune cells， and interferon production. Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis showed that DEGs were mainly involved in cytokine-cytokine receptor interactions， viral protein interactions with cytokines and cytokine receptors， chemokine signaling pathway， and nuclear transcription factor-κB（NF-κB） signaling pathway. Protein-protein interaction（PPI） network analysis identified CD160， granzyme B（GZMB）， and chemokine ligand 4（CCL4） as key targets for YHJF in treating sepsis. Metabolomics identified 46 differential metabolites that were significantly reversed by YHJF intervention， and combined transcriptomics and metabolomics analysis identified 17 differential metabolites closely related to CD160. Pathway enrichment revealed that these metabolites were mainly involved in glycerophospholipid metabolism， arachidonic acid metabolism， glycosylphosphatidylinositol（GPI） anchor biosynthesis， linoleic acid metabolism， and α-linolenic acid metabolism pathways. Verification results showed that， compared with the sham-operated group， the model group exhibited significantly elevated CD160 mRNA expression level in the spleen， along with markedly decreased CCL4 and GZMB mRNA expression， and had a significant increase in CD160 expression on the surface of natural killer T（NKT） cells in the spleen（P0.01）. Compared with the model group， the high-dose YHJF group had a significant decrease in CD160 mRNA expression in the spleen， a significant increase in CCL4 and GZMB mRNA expressions. Further flow cytometry and immunofluorescence revealed that compared with the sham-operated group， CD160 expression on the surface of splenic NKT cells in the model group was significantly increased（P0.01）， while high-dose YHJF intervention significantly reduced CD160 expression（P0.01）. ConclusionYHJF may alleviate NKT cell exhaustion in sepsis by downregulating the expression of the negative co-stimulatory molecule CD160， and this regulatory effect is closely related to fatty acid metabolism pathways. This study provides new insights and targets for further exploration of strengthening vital Qi and detoxifying strategy to improve immune cell exhaustion in acute deficiency syndrome of sepsis.

BackgroundMonitoring the blood concentrations of antipsychotic drugs and their metabolites can guide the adjustment of clinical treatment plans， improving therapeutic efficacy while reducing adverse effects. However， there is currently a lack of a method that can accurately and efficiently quantitatively detect multiple antipsychotic drugs and their metabolites. ObjectiveTo establish a ultra-high performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） method for the simultaneous identification and quantitation of 12 antipsychotic drugs and their main metabolites in human serum. MethodsUsing UPLC-MS/MS technology， protein precipitation method was employed for sample pretreatment. An Agela Technologies Durashell C₈ chromatographic column （50 mm×3.0 mm， 5 μm） was selected for chromatographic separation with gradient elution. The flow rate was 0.4 mL/min， and the total analysis time was 5 minutes. The column temperature was 40℃. The mass spectrometry detection was carried out in the multiple reaction monitoring （MRM） mode， and the isotope internal standard method was used for quantification. ResultsThe relative standard deviation （RSD） of the internal standard normalization matrix effect factor for 12 antipsychotic drugs and their main metabolites at low and high quality concentrations was all less than 15%. The extraction recovery rate was 85% to 115%. They showed good linear relationships within their respective standard curve ranges （r>0.995）. At low， medium， and high quality concentrations， the accuracy was 85.24% to 114.71%， and the RSD of intra-batch and inter-batch precision was all ≤14.15%， with good stability. ConclusionAll the analytical performance indicators of this method meet the verification requirements， providing an analytical means for the quantitative detection of antipsychotic drugs and their main metabolites in human serum. ［Funded by The Third Batch of Science and Technology Projects in Chaozhou City in 2023 （number， 202303GY02）］

The integration of large language model （LLM） and traditional Chinese medicine （TCM） promotes the informatization of TCM，and also provides a new direction for the inheritance and innovation of TCM in the new era. Based on the research background of LLM，the development process of LLM based on the Transformer architecture is summarized，and the research progress of LLM in TCM is reviewed. The main process of constructing TCM LLMs and the key techniques used by researchers during model development are summarized. Based on the related literature， the main application scenarios of TCM LLMs and the research explorations conducted by TCM researchers using LLMs are outlined. Meanwhile，the current challenges faced in the development of TCM LLMs are analyzed. Further improvements are urgently needed in the construction of high-quality data，the evaluation methodology of TCM LLMs，the interpretability of the model， multimodal fusion of TCM LLMs， and the development of TCM prescription recommendation models. Looking forward to the future development of LLM in TCM，it is expected to provide a reference for the deeper integration of LLMs and TCM，and facilitate the modernization of TCM.

ObjectiveTo investigate the mechanism by which Tianxiang pills （TXP） alleviates myocardial cell pyroptosis in the rat model of myocardial ischemia/reperfusion （I/R） injury through modulating the reactive oxygen species （ROS）/cysteinyl aspartate-specific proteinase-1 （Caspase-1）/gasdermin D （GSDMD） signaling pathway. MethodsA total of 54 SPF-grade adult male Sprague-Dawley rats were randomized into six groups （n=9）： sham （thoracotomy only without ligation）， I/R （left anterior descending coronary artery ligation for 30 min followed by reperfusion）， NAC （positive control， N-acetylcysteine， 150 mg·kg^-1， by gavage）， low-dose Tianxiang pills （TXP-L， 2.5 g·kg^-1， by gavage）］， medium-dose Tianxiang pills （TXP-M， 5 g·kg^-1， by gavage）， and high-dose Tianxiang pills （TXP-H， 10 g·kg^-1， by gavage）. The fluorescent probe method was employed to measure the ROS level. Biochemical assay kits were employed to determine the Caspase-1 activity， superoxide dismutase （SOD） activity， malondialdehyde （MDA） content， and glutathione peroxidase （GSH-Px） activity. Myocardial infarct size was assessed by 2，3，5-triphenyltetrazolium chloride （TTC） staining. Western blot analysis was performed to evaluate the expression levels of proteins in the ROS/Caspase-1/GSDMD pathway， including GSDMD， cleaved Caspase-1/Caspase-1 ratio， the N-terminal domain of GSDMD （GSDMD-N）， and the p22-phox subunit of the reduced nicotinamide adenine dinucleotide phosphate （NADPH） oxidase complex. Enzyme-linked immunosorbent assay （ELISA） was utilized to determine the concentration of interleukin-1β （IL-1β）. Transmission electron microscopy （TEM） was employed to observe mitochondrial structure and to score the degree of mitochondrial swelling. ResultsCompared with the Sham group， the I/R group exhibited elevated the levels of ROS， Caspase-1 activity， GSDMD expression， IL-1β concentration， MDA content， infarct area， mitochondrial swelling score， cleaved Caspase-1/Caspase-1， GSDMD-N， and p22phox and decreased activities of SOD and GSH-Px （P<0.05）. Compared with the I/R group， NAC and different doses of TXP significantly reduced the ROS level， Caspase-1 activity， GSDMD expression， IL-1β concentration， MDA content， infarct area， and mitochondrial swelling score. Moreover， they downregulated the expression of cleaved Caspase-1/Caspase-1， GSDMD-N， and p22phox and increased the activities of SOD and GSH-Px （P<0.05）. Furthermore， TXP exerted effects on ROS， MDA， SOD， GSH-Px， Caspase-1 activity， GSDMD expression， IL-1β concentration， cleaved Caspase-1/Caspase-1， GSDMD-N， p22phox， infarct area， and mitochondrial swelling score in a dose-dependent manner （P<0.05）. ConclusionTianxiang pills alleviates myocardial I/R injury by mitigating oxidative stress and cell pyroptosis through the inhibition of the ROS/Caspase-1/GSDMD signaling pathway.

Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

Objective:To retrospectively analyze and compare the clinical effects of rigid neuroendoscopic hematoma removal and drilling irrigation drainage in the treatment of chronic subdural hematomas with mixed density on head CT, and explore the appropriate surgical methods for chronic subdural hematomas with mixed density.Methods:A retrospective case-control study was conducted to analyze the clinical data of 80 patients with CSDH with mixed density CT findings admitted to the Department of Neurosurgery of Guizhou Medical University Affiliated Hospital from January 2021 to November 2023. There were 57 males and 23 females. According to the surgical method, patients were divided into endoscopic group ( n=36) and drilling group ( n=44). Patients in the endoscopic group underwent hard neuroendoscopic hematoma removal surgery, while patients in the drilling group underwent drilling flushing and drainage surgery. Compared the surgical time, drainage time, hematoma clearance rate, length of hospital stay, markwalder neurological function grading, and activities of daily living (ADL) score between two groups 30 days after surgery. Followed up for 3 months to record the recurrence situation.Measurement data with a normal distribution were expressed as mean±standard deviation ( ± s), and t-test was used for inter-group comparison. Measurement data with a non-normal distribution were expressed as M( Q1, Q3), and rank sum test was used for inter-group comparison. Chi-square test or Fisher′s exact test was used for inter-group comparison of count data. Rank sum test was used for inter-group comparison of ordinal data. Results:The operation time, postoperative drainage time, 24-hour hematoma clearance rate, midline deviation distance and hospital stay in the endoscopic group respectively were (77.50±8.15) min, 1.00(1.00, 2, 00) d, (95.00±2.66)%, 1.00(0.00, 2.00) mm, (9.47±2.52) d. The drilling group were (44.77±6.56) min, 3.00(2.25, 3.00) d, (87.86±3.43)%, 3.00(2.00, 3.00) mm, (11.84±3.28) d, the difference was statistically significant between the two groups ( P<0.05). Comparison of long-term efficacy in the endoscopic group, the hematoma clearance rate at 30 days after operation, the ADL score at 30 days after operation, and the number of recurrence cases at 3 months after operation respectively were 99.00(97.25, 100.00)%, (88.06±7.86) points, and 1 case. The drilling group were 93.50(91.25, 95.75)%, (83.29±9.58) points and 10 cases, with statistical difference between the two groups( P<0.05). 30 day postoperative Markwalder neurological functional grading, there were 27 cases grades 0, 9 cases of grade I, and 0 cases of grade II in endoscopic surgery. In the drilling group, there were 24 cases, 15 cases, and 5 cases, respectively. The difference between the two groups was statistically significant ( P<0.05). Conclusions:Compared with drilling and drainage irrigation surgery, neuroendoscopic treatment of mixed density chronic subdural hematoma takes a relatively long time, but the hematoma clearance rate is higher, the hospitalization time is shorter, the postoperative recovery is faster and the recurrence rate is lower. Neuroendoscopic therapy has unique advantages and may be more suitable for the treatment of mixed density CSDH.

Objective To investigate the relationship between the expression of platelet autophagy related factors and peritoneal metastasis of gastric cancer.Methods The data of 360 patients with gastric cancer who underwent surgery in Hunan Provincial People's Hospital from January 2021 to May 2023 were reviewed.Patients were divided into non-peritoneal metastasis group(n=322)and peritoneal metastasis group(n=38)according to whether peritoneal metastasis occurred or not.The following information was collected:patient's personal information(i.e.age,sex,body mass index)and tumor characteristics(i.e.location,size,pathological type,histopathological differentiation,lymphatic infiltration).Platelets were collected from all subjects,and the levels of autophagy-associated protein 7(ATG7),benzalkonium chloride 1(BECN1),microtubule-associated protein 1 light chain 3(LC3)and sequestosome 1(p62)were measured by enzyme-linked immunosorbent assay(ELISA).Results Among the 360 patients included,peritoneal metastasis was detected in 38 cases.Compared with the non-peritoneal metastasis group,the peritoneal metastasis group exhibited decreased BMI(P<0.05),while the tumor size,non-ulcerative tumor,number of lymph node metastasis,infiltration depth,number of cases of lymphatic invasion,platelet count,platelet LC3-Ⅱ level,platelet ATG7 level and CEA level were increased(P<0.05).Multivariate logistic regression analysis showed that BMI(OR=1.094),lymphatic invasion(OR=2.658),and LC3-Ⅱ(OR=3.793)and ATG7(OR=2.010)were independent influencing factors for peritoneal metastasis in patients with gastric cancer(P<0.05).LC3-Ⅱ>2.59ng/ml had the highest ability to predict peritoneal metastasis in patients with gastric cancer(AUC=0.932),followed by ATG7(AUC=0.916).Conclusions Elevated levels of platelet LC3-Ⅱ and ATG7 are independently related to peritoneal metastasis in patients with gastric cancer,and can be used to predict the occurrence of peritoneal metastasis,which is helpful to guide individualized treatment.

Objective:To construct a classification management model on the basis of Kraljic matrix for electrocardiogram(ECG)monitoring equipment in emergency intensive care unit(ICU),so as to explore its application value in the management for ECG monitoring equipment in emergency ICU.Methods:The classification management model on the basis of index for ECG monitoring equipment in emergency ICU was constructed.According to two classification dimensions included the market supply risk and the self-value,an indicator system of classification management,which aimed at strategic materials with high value and high risk,leverage materials with high value and low risk,bottleneck materials with low value and high risk,and conventional materials with low value and low risk,was constructed.A total of fifty-one ECG monitoring equipment in the emergency ICU of The People's Hospital of Longhua of Shenzhen from January to December 2023 were selected,and they were managed respectively by conventional management mode(25 sets)and classification management mode(26 sets)according to different management modes.The standardization level of operation management for equipment,the occurrence of safety risk and the level of management for equipment of the two management modes were compared,and the satisfaction of 30 relative personnel,who used and managed these equipment,for classification management of equipment also were compared.Results:The average values of the percentage of standardization level of normality of equipment operation,disinfection and sterilization,maintenance and fault repair of using classification management mode were respectively(91.58±4.33)%,(92.1±3.28)%,(91.49±3.54)%and(92.58±3.32)%,all of which were higher than those of conventional management mode,and the differences were statistically significant(t=12.537,15.706,14.196,18.946,P<0.05),repsectively.The average incidences of the risk of pressure injury,electrical injury and body fluid extravasation of adopting classification management mode were respectively(2.54±0.87)%,(3.02±0.82)%and(1.29±0.65)%,all of which were lower than those of adopting conventional management mode,and the differences were statistically significant(t=22.825,17.453,24.424,P<0.05),respectively.The satisfaction scores of 30 relative management personnel,who used equipment on the process rationality,system standardization and quality effectiveness,of adopting classification management mode were respectively(94.26±3.54),(92.57±4.36)and(91.87±3.69),all of which were higher than those of conventional management mode,and the differences were statistically significant(t=14.052,13.991,13.551,P<0.05),respectively.The reasonable placement rate,recording rate of standardization,and intact rate of equipment in the 26 equipment by adopting classification management mode were respectively 92.31%,92.31%and 88.46%,all of which were significantly higher than those by adopting conventional management mode,and the differences were statistical significant(x2=12.052,10.398,11.338,P<0.05).Conclusion:The classification management model of ECG monitoring equipment in emergency ICU can increase the management efficiency for the equipment in operating room of hospital,and improve the operation quality of equipment,and enhance the safety of equipment in clinical use,and the standardization of operation management for equipment.

Diabetes mellitus is a chronic metabolic disorder, currently affecting more than 530 million people worldwide. Based on differences in pathogenesis, it is classified into type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). T1DM is primarily caused by autoimmune destruction of pancreatic β cells, whereas T2DM results from insulin resistance due to β cell failure and dysfunction. Current treatments for diabetes include insulin injections, oral medications, and islet transplantation. As a curative therapy, islet transplantation still faces challenges such as limited donor cell availability, systemic immunosuppression-related side effects, and low long-term survival of transplanted islets. Transplantation of stem cell-derived islet organoids is expected to replace primary human islet cells and overcome these issues, making it one of the most promising therapies for T1DM and advanced-stage T2DM. This review provides an in-depth overview of the development of islet transplantation, with a focus on recent progress in stem cell differentiation into islet organoids and the engineering of islet organoids. Meanwhile, we also discuss the current opportunities and future challenges in islet organoid transplantation. These explorations and efforts lay the groundwork for future clinical applications and offer hope for a potential cure for diabetes.