ObjectiveThis study systematically analyzed the arginine metabolic dysregulation in the rat model of heart failure （HF）， providing a modern scientific basis for elucidating the pathogenesis of HF and offering new insights for the prevention and treatment of HF with traditional Chinese medicine （TCM）. MethodsA thoracotomy was performed to ligate the left anterior descending coronary artery of rats， which induced acute myocardial ischemia and thus led to the development of post-myocardial infarction heart failure. The rats were divided into a sham surgery group and a model group， with eight rats in each group. Serum targeted metabolomics analysis was performed using ultra-performance liquid chromatography-triple quadrupole mass spectrometry （UPLC-TQ-S）， and the spatial distribution of metabolites in cardiac tissue was observed using airflow-assisted desorption electrospray ionizationmass spectrometry imaging （AFADESI-MSI）. Targets associated with HF and arginine metabolism were screened from databases including GeneCards and the Gene Expression Omnibus （GEO）， a protein-protein interaction （PPI） network was constructed， and enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway and Gene Ontology （GO） was performed. Finally， molecular docking was conducted to verify the binding between core metabolic components and key targets， and potential TCMs were predicted based on the core pathways and targets. ResultsCompared with the sham surgery group， the levels of arginine and citrulline in the serum of model rats were significantly decreased （P<0.01）， while those of proline， ornithine， creatine， creatinine and glutamate were significantly increased （P<0.05， P<0.01）. Cardiac mass spectrometry imaging showed a decreased abundance of arginine in the local myocardial tissue. Bioinformatics analysis identified 24 core functional targets， such as the angiotensin-converting enzyme （ACE）， neuronal nitric oxide synthase （NOS1）， 5-hydroxytryptamine receptor 2A （HTR2A）， and epidermal growth factor receptor （EGFR）， and enrichment analysis indicated that these targets were significantly involved in the calcium signaling pathway， neuroactive ligand-receptor interactions， and phosphatidylinositol signaling pathway. Molecular docking confirmed strong binding activities between arginine， citrulline and HTR2A， as well as between creatine， creatinine and EGFR. Based on pathway-target prediction， potential TCM interventions， such as ginseng and magnolia， were identified. ConclusionThis study revealed characteristic arginine metabolic disorder in HF， and the core targets of HF were closely associated with the phosphatidylinositol signaling pathway. It provides a modern biological interpretation of the pathogenesis of HF in TCM from the perspectives of metabolites and signaling pathways， and offers valuable insights for targeted therapy of HF and the development of TCM.

ObjectiveThis study systematically analyzed the arginine metabolic dysregulation in the rat model of heart failure （HF）， providing a modern scientific basis for elucidating the pathogenesis of HF and offering new insights for the prevention and treatment of HF with traditional Chinese medicine （TCM）. MethodsA thoracotomy was performed to ligate the left anterior descending coronary artery of rats， which induced acute myocardial ischemia and thus led to the development of post-myocardial infarction heart failure. The rats were divided into a sham surgery group and a model group， with eight rats in each group. Serum targeted metabolomics analysis was performed using ultra-performance liquid chromatography-triple quadrupole mass spectrometry （UPLC-TQ-S）， and the spatial distribution of metabolites in cardiac tissue was observed using airflow-assisted desorption electrospray ionizationmass spectrometry imaging （AFADESI-MSI）. Targets associated with HF and arginine metabolism were screened from databases including GeneCards and the Gene Expression Omnibus （GEO）， a protein-protein interaction （PPI） network was constructed， and enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway and Gene Ontology （GO） was performed. Finally， molecular docking was conducted to verify the binding between core metabolic components and key targets， and potential TCMs were predicted based on the core pathways and targets. ResultsCompared with the sham surgery group， the levels of arginine and citrulline in the serum of model rats were significantly decreased （P<0.01）， while those of proline， ornithine， creatine， creatinine and glutamate were significantly increased （P<0.05， P<0.01）. Cardiac mass spectrometry imaging showed a decreased abundance of arginine in the local myocardial tissue. Bioinformatics analysis identified 24 core functional targets， such as the angiotensin-converting enzyme （ACE）， neuronal nitric oxide synthase （NOS1）， 5-hydroxytryptamine receptor 2A （HTR2A）， and epidermal growth factor receptor （EGFR）， and enrichment analysis indicated that these targets were significantly involved in the calcium signaling pathway， neuroactive ligand-receptor interactions， and phosphatidylinositol signaling pathway. Molecular docking confirmed strong binding activities between arginine， citrulline and HTR2A， as well as between creatine， creatinine and EGFR. Based on pathway-target prediction， potential TCM interventions， such as ginseng and magnolia， were identified. ConclusionThis study revealed characteristic arginine metabolic disorder in HF， and the core targets of HF were closely associated with the phosphatidylinositol signaling pathway. It provides a modern biological interpretation of the pathogenesis of HF in TCM from the perspectives of metabolites and signaling pathways， and offers valuable insights for targeted therapy of HF and the development of TCM.

OBJECTIVE To construct three-class （insufficient， normal， excessive） and two-class （insufficient， normal） models for predicting plasma concentration of valproic acid （VPA）， and compare the performance of these two models， with the aim of providing a reference for formulating clinical medication strategies. METHODS The clinical data of 480 patients who received VPA treatment and underwent blood concentration test at the Xi’an International Medical Center Hospital were collected from November 2022 to September 2024 （a total of 695 sets of data）. In this study， predictive models were constructed for target variables of three-class and two-class models. Feature ranking and selection were carried out using XGBoost scores. Twelve different machine learning algorithms were used for training and validation， and the performance of the models was evaluated using three indexes: accuracy， F1 score， and the area under the working characteristic curve of the subject （AUC）. RESULTS XGBoost feature importance scores revealed that in the three-class model， the importance ranking of kidney disease and electrolyte disorders was higher. However， in the two-class model， the importance ranking of these features significantly decreased， suggesting a close association with the excessive blood concentration of VPA. In the three-class model， Random Forest method performed best， with F1 score of 0.704 0 and AUC of 0.519 3 on the test set； while in the two-class model， CatBoost method performed optimally， with F1 score of 0.785 7 and AUC of 0.819 5 on the test set. CONCLUSIONS The constructed three-class model has the ability to predict excessive VPA blood concentration， but its prediction and model generalization abilities are poor； the constructed two-class model can only perform classification prediction for insufficient and normal blood concentration cases， but its model performance is stronger.

Extensive evidence has demonstrated that glucagon-like peptide-1 receptor agonists (GLP-1RAs) can ameliorate obesity. Our previous studies revealed that (Ex-4)₂-Fc, a long-acting GLP-1RA we developed, depends on the leptin pathway to treat obesity. However, the mechanisms linking (Ex-4)₂-Fc and leptin resistance remain largely unclear. To address this question, we explored the mechanism of GLP-1RAs from the perspective of the gut microbiota, as increasing evidence indicates an important link between the gut microbiota and obesity. This study aimed to explore the potential role of the gut microbiota in the treatment of GLP-1RAs. We found that (Ex-4)₂-Fc treatment reshaped obesity-induced gut microbiota disturbances and substantially increased the abundance of Akkermansia muciniphila (Am). In addition, (Ex-4)₂-Fc did not respond well in antibiotic-treated (ATB) Obese mice. Subsequent studies have shown that this defect can be overcome by gavage with Am. In addition, we found that Am enhanced (Ex-4)₂-Fc therapy by producing the metabolite inosine. Inosine regulates the macrophage adenosine A2A receptor (A2A) pathway to indirectly reduce leptin levels in adipocytes Thus, elucidating the role of metabolites in regulating the leptin pathway will provide new insights into GLP-1RAs therapy and may lead to more effective strategies for guiding the clinical use of antidiabetic agents.

To explore the scoring level and related factors of autoimmune disease-related skin ulcers by collecting data from multiple centers, and to provide ideas and references for targeted intervention measures and management plans for clinical medical and nursing staff.

In this work, starting from 4-hydroxycoumarin, three series of 22 coumarin derivatives, among which 8 have not been reported in the literature, were synthesized and their in vitro anti-inflammatory activities and mechanisms of action were preliminarily investigated using mouse macrophage model. The results showed that most of the derivatives could significantly inhibit the production of pro-inflammatory factor NO, with compounds 2e, 2f, 2g, 2h, 2i, 2j, 4e, and 4f showing better anti-inflammatory activity than the positive control drug dexamethasone. Further experiments showed that compounds 2h and 4f significantly inhibited the production of pro-inflammatory factors IL-6, TNF-α and IL-1β in RAW264.7 macrophages, and could, therefore, be used as lead compounds for further studies.

OBJECTIVE To evaluate the efficacy and safety of immune checkpoint inhibitors combined with neoadjuvant chemotherapy and adjuvant chemotherapy in the treatment of early-stage triple-negative breast cancer （TNBC）. METHODS A systematic search was conducted in PubMed， Embase， Cochrane Library， CNKI， and Wanfang Data to collect randomized controlled trials （RCT） on the use of immune checkpoint inhibitors combined with neoadjuvant chemotherapy and adjuvant chemotherapy （experimental group） versus neoadjuvant chemotherapy and adjuvant chemotherapy （control group） in the treatment of TNBC. After literature screening， data extraction and literature quality evaluation， meta-analysis was performed using Stata 17.0. RESULTS A total of 5 RCT involving 1 498 patients were included. The meta-analysis results showed that the pathological complete response rate （pCR） [RR＝1.34， 95%CI （1.09， 1.63）， P＝0.03]， pCR in patients with positive programmed death-1 （PD-1） and its ligand （PD-L1） [RR＝1.33， 95%CI （1.16， 1.51）， P＝0.01]， pCR in patients with positive lymph nodes [RR＝ 1.56， 95%CI （1.27， 1.93）， P＝0.01]， the incidence of grade 3-4 adverse events （AEs） [RR＝1.07， 95%CI （1.01， 1.14）， P＝ 0.04]， the incidence of serious AEs [RR＝1.57， 95%CI （1.31， 1.87）， P＝0.03]， and the incidence of treatment discontinuation due to AEs [RR＝1.45， 95%CI （1.19， 1.76）， P＝0.01] were significantly higher in the experimental group than control group. There were no statistically significant difference in pCR in patients with negative PD-1/PD-L1[RR＝ E-mail：biejun23@126.com 1.26， 95%CI （0.98， 1.62）， P＝0.08] and pCR in patients with negative lymph nodes [RR＝1.14， 95%CI （0.97， 1.33）， P＝0.17] between the two groups. CONCLUSIONS Immune checkpoint inhibitors combined with neoadjuvant chemotherapy and adjuvant chemotherapy demonstrates significant efficacy in early-stage TNBC patients， with more pronounced benefits observed in those who are PD-1/PD-L1 positive and lymph node- positive. However， the incidence of AEs is relatively high.

Objective:To investigate the characteristics of elastic program of excited shear wave of plantar soft tissue of diabetic patients and its correlation with levels of glucose metabolism.Methods:A total of 92 patients with type 2 diabetes who admitted to Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine during January 2022 and January 2023 were selected as diabetes group,and another 92 patients in the prediabetes stage were included in the prediabetes group.Both groups of patients used excited shear wave with different frequencies(400,450,500,550,and 600 Hz)under elastic technique of shear wave.The velocities of shear waves at the 1st metatarsal head,the 3rd metatarsal head and calcaneus of plantar soft tissue,and the thickness of soft tissue of these patients were assessed.The fasting plasma glucose(FPG),2-hour postprandial glucose(2hPG),and glycosylated hemoglobin(HbA1c)levels of sugar metabolism level of two groups were measured,and the correlations between velocity of shear wave,thickness of soft tissue,and level of glucose metabolism were further analyzed.The occurrence of diabetic foot ulcer in the diabetes group was investigated by using follow-up.The receiver operating characteristic(ROC)curve was adopted to assess the predictive value of the velocity of shear wave,and the thickness of soft tissue for diabetic foot ulcer.Results:The FPG,2hPG and HbA1c of glucose metabolism level in the diabetes group were(6.48±0.48)mmol/L,(9.64±1.31)mmol/L and(6.21±0.15)%,respectively,all of which were higher than those[(8.03±0.62)mmol/L,(12.26±1.25)mmol/L and(7.66±0.42)%]in the prediabetes group,and the differences were statistically significant(t=18.961,18.961,31.185,P<0.05).The thickness level of soft tissue at the first metatarsal head was(10.42±3.11)mm in the diabetes group,which was less than(11.76±3.24)mm in the prediabetes group,with a statistically significant difference(t=2.862,P<0.05).Spearman correlation analysis showed that the velocity of shear wave at 500 Hz frequency had a strongest correlation with FPG and HbA1c(r=0.320,0.256,P<0.05),respectively.In the follow-up for patients of diabetes group,14 cases occurred ulcers and 78 cases did not occur ulcers.The velocities of shear wave of the first metatarsal head of 14 patients with ulcers were higher than those of patients without ulcers at all tested frequencies(400,450,500,550,and 600 Hz).The area under curve(AUC)value of ROC curve,specificity and sensitivity of 500 Hz were respectively 0.775,88.46%,and 78.57%in predicting plantar ulcer of patients with diabetes.Conclusion:The velocity of shear wave of soft tissue at the first metatarsal head is significantly correlated with abnormal glucose metabolism in patients with type 2 diabetes.The velocity of shear wave appeared strongest correlation with FPG and HbA1c at500 Hz frequency,which has higher predictive value for diabetic foot ulcer.

OBJECTIVE To evaluate the potential of nanopore sequencing technology for rapid diagnosis of Talaro-myces marneffei(TM)infection.METHODS Nine patients with TM infection admitted to the Fourth People's Hospital of Nanning from May 13,2022 to Aug.3,2023 were retrospectively analyzed.Rapid diagnosis was con-ducted by nanopore sequencing technology,and a comprehensive analysis of their clinical characteristics and treat-ment processes was performed.RESULTS The 9 patients included in the study had infections in various sites such as the lungs,buttocks,blood and cervical lymph nodes.Comorbidities included AIDS,secondary pulmonary tuberculosis,non-tuberculous mycobacterial disease and adult-onset immune deficiency.Patients generally exhibited elevated C-reactive protein levels and erythrocyte sedimentation rates,along with increased neutrophil counts.Some patients had abnormal lymphocyte counts and CD4+/CD8+ratios.Microbiological tests showed positive cultures in 3 cases,positive smears in 2 cases and positive targeted detection in 6 cases.Nanopore sequencing detected various pathogens in the 9 patients.The treatment results indicated that 8 patients improved after medication,with 6 patients having medication regimens adjusted based on nanopore sequencing results.CONCLUSION Nanopore sequencing technology has shown potentials in the auxiliary diagnosis of TM infection,providing timely etiological diagnostic evidence for clinical practice.

Objective:To investigate the clinical pathological features, immunophenotypes, diagnosis, and differential diagnosis of non-small cell lung carcinoma (NSCLC) with trophoblastic differentiation in males, and to improve the understanding of this rare disease.Methods:The clinical and pathological features of 16 NSCLC with trophoblastic differentiation in males diagnosed in Shanghai Pulmonary Hospital from January 2017 to December 2023 were retrospectively analyzed. Relevant literature was reviewed.Results:All 16 patients were male, with an onset median age of 66.5 (56.8, 68.8) years. They had no known personal history of cancer. Among the 8 resected NSCLC with trophoblastic differentiation, 3 showed concurrent lung adenocarcinoma, and 1 showed concurrent lung squamous cell carcinoma. Among the 10 patients who underwent serum β human chorionic gonadotropin (β-HCG) testing after the surgery or biopsy, 7 had significantly increased β-HCG. On gross examination, the tumors were hemorrhagic and necrotic, resembling a hematoma, with a medium texture, clear boundaries and no capsules. At low magnification, tumor cells were arranged in a nested or solid pattern. Those cells often showed massive bleeding, necrosis, and vascular infiltration. They were composed of two types of cells, namely cytotrophoblast and syncytiotrophoblast cells. At high magnification, the tumor cells showed large nuclei and hyperchromatia. They also had rich purple blue to bichromatic cytoplasm, eosinophilic nucleoli, and sometimes bizarre nuclei. The syncytiotrophoblast cells expressed β-HCG, CKpan, GATA3, CD10, and SALL4. Fourteen patients were followed up for 1-37 months. Two of them died, while three showed distant metastasis.Conclusions:NSCLC with trophoblastic differentiation in males is a rare and highly malignant tumor, poorly understood with difficulty in diagnosis. It requires comprehensive histological analysis in combination with clinical and imaging studies. Properly diagnosing this disease relies on recognition of its histopathological characteristics, including large areas of bleeding and necrosis, large and peculiar syncytial trophoblast cells, and varying degrees of β-HCG expression. It seems that β-HCG expression is very valuable for diagnosing this rare tumor.