Chronic heart failure （CHF） is a group of complex clinical syndromes caused by abnormal changes in the structure and/or function of the heart due to various reasons， resulting in disorders of ventricular contraction and/or diastole. CHF is a condition where primary diseases such as coronary heart disease， hypertension and pulmonary heart disease recur frequently and persist for a long time， presenting blood stasis in meridians and collaterals， stagnation of water and dampness， and accumulation of Qi in collaterals. Its pathogenesis is complex and may involve myocardial energy metabolism disorders， oxidative stress responses， myocardial cell apoptosis， autophagy， inflammatory responses， etc. According to the theory of restraining hyperactivity to acquire harmony， we believe that under normal circumstances， the adenosine monophosphate-activated protein kinase （AMPK） signaling pathway functions normally， maintaining human physiological activities and energy metabolism. Under pathological conditions， the AMPK signaling pathway is abnormal， causing energy metabolism disorders， inflammatory responses， and myocardial fibrosis. Traditional Chinese medicine （TCM） can regulate the AMPK signaling pathway through multiple mechanisms， targets， and effects， effectively curbing the occurrence and development of CHF. It has gradually become a research hotspot in the prevention and treatment of this disease. Guided by the theory of TCM， our research group， through literature review， summarized the relationship between the AMPK pathway and CHF and reviewed the research progress in the prevention and control of CHF with TCM active ingredients， TCM compound prescriptions， and Chinese patent medicines via regulating the AMPK pathway. The review aims to clarify the mechanism and targets of TCM in the treatment of CHF by regulating the AMPK pathway and guide the clinical treatment and drug development for CHF.

Chronic heart failure （CHF） refers to a clinical syndrome in which the function or structure of the heart is changed due to damage to the original myocardium， resulting in reduced pumping and/or filling functions of the heart. In recent years， the mechanisms， pathways， and targets of traditional Chinese medicine （TCM） in the treatment of CHF have been continuously confirmed， and the application of TCM theories in guiding the syndrome differentiation and precise treatment of CHF is currently a research hotspot. On the basis of the syndrome differentiation and treatment in TCM， Professor LI Candong innovatively proposed the thinking of five differentiation： Disease differentiation， syndrome differentiation， pathogenesis differentiation， symptom differentiation， and individual differentiation. This article explores the clinical diagnosis and treatment of CHF from this thinking， emphasizing comprehensive syndrome differentiation， objective analysis， dynamic assessment， and individualized treatment. In terms of diagnosis， the first is to identify the disease name， cause， location， severity， and type of CHF， determine the type and its evolution， and clarify the process of transmission and transformation between deficiency and excess. Secondly， it is necessary to distinguish the authenticity， severity， primary and secondary， urgency and complexity of CHF syndromes， providing scientific guidance for syndrome differentiation and treatment. Thirdly， according to the symptoms and the principles of deficiency and excess， the physician should identify the core pathogenesis of CHF from the perspectives of Qi， blood， Yin， Yang， deficiency， stasis， phlegm， water， and toxins. Fourthly， from the macro， meso and micro levels， the physician should carefully distinguish the presence or absence， severity， authenticity， and completeness of the symptoms to guide the diagnosis and treatment process of CHF. Finally， personalized medication for CHF should be promoted based on the patient's gender， age， constitution， and living habits. In terms of treatment， based on the thinking of five differentiation， we propose that the treatment of CHF should integrate the disease and syndrome， clarify the pathogenesis， and apply precise treatment. The treatment should be people-oriented， staged， and typed， and the medication should be adjusted according to symptoms. This diagnostic and therapeutic approach is based on the holistic concept and syndrome differentiation and treatment， and combines the three causes for appropriate treatment， providing new ideas and insights for the diagnosis and treatment of CHF.

ObjectiveTo examine the influences of Shenfu injection on the endogenous metabolic byproducts in the myocardium of the rat model exhibiting chronic heart failure， thus deciphering the therapeutic mechanism of the Qi-reinforcing and Yang-warming method. MethodsSD rats were randomly allocated into a control group and a modeling group. Chronic heart failure with heart-Yang deficiency syndrome in rats was modeled by multi-point subcutaneous injection of isoproterenol， and the rats were fed for 14 days after modeling. The successfully modeled rats were randomized into model， Shenfu injection （6.0 mL·kg^-1）， and trimetazidine （10 mg·kg^-1） groups and treated with corresponding agents for 15 days. The control group and the model group were injected with equal doses of normal saline， and the samples were collected after the intervention was completed. Cardiac color ultrasound was performed. Hematoxylin-eosin （HE） staining was used to observe histopathological morphology， and the serum level of N-terminal pro-brain natriuretic peptide （NT-proBNP） was assessed by enzyme-linked immunosorbent assay （ELISA）. The mitochondrial morphological and structural changes of cardiomyocytes were observed by transmission electron microscopy， and the metabolic profiling was carried out by ultra high performance liquid chromatography-quantitative exactive-mass spectrometry （UHPLC-QE-MS）. Differential metabolites were screened and identified by orthogonal partial least squares-discriminant analysis （OPLS-DA） and other methods， and then the MetaboAnalyst database was used for further screening. The relevant biological pathways were obtained through pathway enrichment analysis. The receiver operating characteristic （ROC） curve was established to evaluate the diagnostic value of each potential biomarker for myocardial injury and the evaluation value for drug efficacy. ResultsThe results of color ultrasound showed that Shenfu Injection improved the cardiac function indexes of model rats （P<0.05）. The results of HE staining showed that Shenfu injection effectively alleviated the pathological phenomena such as myocardial tissue structure disorder and inflammatory cell infiltration in model rats. The results of ELISA showed that Shenfu injection effectively regulated the serum NT-proBNP level in the model rats. Transmission electron microscopy （TEM） showed that Shenfu injection effectively restored the mitochondrial morphological structure. The results of metabolomics showed that the metabolic phenotypes of myocardial samples presented markedly differences between groups. Nine differential metabolites could be significantly reversed in the Shenfu injection group， involving three metabolic pathways： pyruvate metabolism， histidine metabolism， and citric acid cycle （TCA cycle）. The results of ROC analysis showed that the area under the curve （AUC） values of all metabolites were between 0.75 and 1.0， indicating that the differential metabolites had high diagnostic accuracy for myocardial injury， and the changes in their expression levels could be used as potential markers for efficacy evaluation. ConclusionShenfu injection significantly alleviated the damage of cardiac function， myocardium， and mitochondrial structure in the rat model of chronic heart failure with heart-Yang deficiency syndrome by ameliorating energy metabolism remodeling. Reinforcing Qi and warming Yang is a key method for treating chronic heart failure with heart-Yang deficiency syndrome.

Traditional Chinese medicine （TCM） diagnostics is a discipline that studies the basic theories and fundamental skills of diagnostic methods， disease diagnosis， and differentiation in accordance with the theories of TCM. The artificial intelligence （AI） technology has gained remarkable achievements in the intelligentization of the four diagnostic methods in TCM and the standardization of differentiation and diagnosis. However， it still faces many challenges. The standardization of clinical data collection is difficult， and the data quality is uneven， which affects the usability of the data. The integration of the four diagnostic information is insufficient. Most instruments can only collect data from a single diagnostic method， lacking overall integrity. The scientific nature of the diagnostic model needs to be improved. The existing models lack dynamics and the reasoning logic of TCM differentiation. The accuracy of intelligent methods needs to be improved， and the existing evaluation indicators cannot fully reflect the practical application effect of the model. Furthermore， the relevant laws and regulations are still not perfect， and data security and patient privacy lack guarantees. The cultivation of compound talents is insufficient， and there is a lack of interdisciplinary talents who are proficient in both TCM and AI. On this basis， this paper expounded on the current development status， difficulties， and bottlenecks of AI in TCM diagnosis and then explored the development trend of AI in the field of TCM diagnosis. It proposed solutions such as optimizing the data collection process， constructing multimodal diagnostic models， facilitating multi-disciplinary exchanges and cooperation， improving laws and regulations， and cultivating compound talents. It is hoped that modern， standardized， normalized， and intelligent TCM diagnosis can be further promoted， thereby providing new impetus and methods for the inheritance and innovation of TCM.

Objective: To develop a RHCE genotyping assay based on kompetitive allele-specific PCR (KASP) and assess its clinical accuracy for RhCE blood group determination. Methods: KASP primers were designed to interrogate three RHCE loci: the 109 bp insertion/deletion in intron 2, c. 307T>C, and c. 676C>G. A total of 1 194 RhD-positive inpatients from Chengdu were typed by both KASP genotyping and manual tube serology. Discordant samples (n=10) were retested by both methods and further resolved by Sanger sequencing. An additional 377 cases were tested for the c. 48C>G locus to evaluate the predictive accuracy of individual loci and combined locus testing for RhC antigen. Results: Genotyping concordance with serology was 100.0% for both the c. 676C>G locus (RhE/Rhe) and the c. 307T>C locus (Rhc). For RhC prediction using the 109 bp insertion, overall accuracy was 99.7% (1 191/1 194); the 3 discordant cases were confirmed by Sanger sequencing to be false negatives attributable to 109 bp deletion in intron 2. Testing the c. 48C>G allele for RhC prediction yielded 7 false positives, with an accuracy of 98.1% (370/377). RhC antigen status was determined by combining the 109 bp insertion and the c. 48C allele. After excluding 10 samples with inconsistent results between the two loci, the accuracy reached 100% in the remaining 367 samples. When both loci were applied in combination, accuracy reached 100% in the 367 cases with concordant results. Among the 1 194 patients, CCee (45.8%) and CcEe (31.7%) were the most common RhCE phenotypes. The e antigen had the highest positivity rate (92.2%), and the Ce haplotype was the most frequent (66.9%). Conclusion: The KASP-based RHCE genotyping method achieves high accuracy for clinical RhCE typing. Combining the 109 bp insertion/deletion with the c. 48C allele significantly improves RhC antigen prediction compared with either locus alone. This method was applied to RhCE genotyping of 1 194 RhD-positive inpatients in Chengdu, providing local RhCE phenotype and haplotype distribution data to support RhCE-matched transfusion practice.

Background: High-mobility group box protein 1 (HMGB1) is a chromatin-binding protein involved in arthritis, ischemia, sepsis, atherosclerosis, neurodegenerative disorders, meningitis, and cancer. HMGB1 exhibits dual roles in cancer, acting as either a tumor suppressor or oncoprotein depending on context. Objective: This research aimed to elucidate HMGB1’s functional significance in cutaneous squamous cell carcinoma (cSCC). Methods: We overexpressed HMGB1 in cSCC cell lines using recombinant adenovirus and examined its effects on cell proliferation, colony formation, and cell migration. Results: Immunohistochemical analysis revealed elevated HMGB1 expression levels in cSCC tissue relative to normal epidermis. To assess the influence of HMGB1, we employed recombinant adenoviruses expressing HMGB1 to transduce SCC cell lines (SCC12 and SCC13). Enhanced HMGB1 expression significantly promoted cellular proliferation and colony formation capacity.Notably, HMGB1 overexpression elevated the levels of proliferation regulators, including P63, SOX2, CDK4 and CDK6. Furthermore, HMGB1 overexpression substantially enhanced tumor invasiveness, accompanied by upregulation of epithelial-mesenchymal transition (EMT) biomarkers. Mechanistically, overexpression of HMGB1 enhanced transforming growth factor-β signaling by increasing phosphorylation of SMAD2/3, the key mediators of EMT. Conclusion These data imply that HMGB1 acts as a tumor-promoting factor in cSCC.

Objective To develop an artificial intelligence (AI)-driven lung cancer database by structuring and standardizing clinical data, enabling advanced data mining for lung cancer research, and providing high-quality data for real-world studies. Methods Building on the extensive clinical data resources of the Department of Thoracic Surgery at Peking Union Medical College Hospital, this study utilized machine learning techniques, particularly natural language processing (NLP), to automatically process unstructured data from electronic medical records, examination reports, and pathology reports, converting them into structured formats. Data governance and automated cleaning methods were employed to ensure data integrity and consistency. Results As of September 2024, the database included comprehensive data from 18 811 patients, encompassing inpatient and outpatient records, examination and pathology reports, physician orders, and follow-up information, creating a well-structured, multi-dimensional dataset with rich variables. The database’s real-time querying and multi-layer filtering functions enabled researchers to efficiently retrieve study data that meet specific criteria, significantly enhancing data processing speed and advancing research progress. In a real-world application exploring the prognosis of non-small cell lung cancer, the database facilitated the rapid analysis of prognostic factors. Research findings indicated that factors such as tumor staging and comorbidities had a significant impact on patient survival rates, further demonstrating the database’s value in clinical big data mining. Conclusion The AI-driven lung cancer database enhances data management and analysis efficiency, providing strong support for large-scale clinical research, retrospective studies, and disease management. With the ongoing integration of large language models and multi-modal data, the database’s precision and analytical capabilities are expected to improve further, providing stronger support for big data mining and real-world research of lung cancer.

Purpose: Corneal melanoma (CM) is a rare malignancy that develops from melanocytes within the cornea, constituting a minority of all ocular tumors. In this study, we sought to investigate the clinicopathological characteristics correlated with the prognosis of CM patients. Methods: We collected patients with CM between 1983 and 2018 from the Surveillance, Epidemiology, and End Results (SEER) database. Cox proportional hazards regression was used for univariate analysis to value hazard ratio of malignant CM versus spindle cell melanoma and nodular melanoma subgroups. Kaplan-Meier survival analysis and log-rank test were also performed to identify additional prognostic markers and confirm the findings of the Cox hazard ratio. Results: A total of 29 eligible patients were collected in our study. Age at diagnosis, laterality, primary site, tumor size, the extent of disease, marital status, income, residential area, and treatment showed no significant prognostic factors for CM patients (p > 0.05). However, when concerned with the primary site of malignant melanoma, spindle cell melanoma and nodular melanoma were found to show significantly poorer prognosis in CM patients (both p < 0.05). Conclusions Age at diagnosis, laterality, primary site, tumor size, the extent of disease, and treatment were not significant prognostic indicators for CM patients. Spindle cell melanoma and nodular melanoma were notable for showing worse survival outcomes than malignant melanoma. Although the sample size in the SEER database was limited, our findings may provide motivation for tailoring individualized treatments for patients with CM with different primary sites.

Objective To explore the impact of irregular shape of head CT hematomas on postoperative re-bleeding and prognosis of patients with spontaneous intracerebral hemorrhage(ICH)who undergo craniotomy for hematoma evacuation.Methods We retrospectively enrolled consecutive patients with ICH who underwent craniotomy for hematoma evacuation in the Department of Neurosurgery of the Second People's Hospital of Guiyang Affiliated to Guizhou Medical University from January 2019 to June 2024.Baseline and clinical data were collected form the patients,including age,gender,smoking history,drinking history,hypertension,diabetes,history of anticoagulant use,admission systolic and diastolic blood pressure,admission National Institutes of Health stroke scale(NIHSS)score,Glasgow coma scale(GCS)score,time from onset to the first head CT,neutrophil-to-lymphocyte ratio(NLR),and platelet-to-lymphocyte ratio(PLR).Admission head CT scans were used to assess hematoma shape(regular or irregular),hematoma location(basal ganglia,lobar,multifocal),hematoma volume,perihematomal edema volume,the presence of midline shift,and intraventricular extension.Volume of the hematoma was assessed 2 days after surgery.Postoperative re-bleeding is defined as an increase in the volume of the hematoma by 12.5 ml compared to the previous postoperative CT scan within 2 weeks after surgery,or the reappearance of high-density areas in the focal area of the head CT scan during follow-up after complete hematoma clearance.Conduct patients follow-ups via telephone at 6 months postoperatively to assess their modified Rankin scale(mRS)scores.The sliding dichotomy method was applied to define prognosis based on the patients' baseline characteristics and disease severity.The prognostic score was calculated using formula:10 × admission GCS score-age-0.64 × admission hematoma volume.A prognostic score＞27.672 was considered potentially favorable,while a score ≤ 27.672 was considered potentially unfavorable.For patients with a potentially favorable prognosis,an mRS score of 0-2 was defined as a good outcome,and a score of 3-6 as a poor outcome.For those with a potentially unfavorable prognosis,an mRS score of 0-3 was defined as a good outcome,and a score of 4-6 as a poor outcome.In the comparison of baseline and clinical data between patients with regular and irregular hematoma shapes,factors with P＜0.05 were included in propensity score matching(PSM)to adjust for confounding variables.A 1∶1 matching was performed using the nearest neighbor method with a caliper value set to 0.25.Variables with statistically significant differences between groups after PSM matching were included in the multivariate Logistic regression analysis to identify influencing factors for postoperative re-bleeding and poor prognosis in ICH patients undergoing craniotomy hematoma evacuation.The predictive value of irregular hematoma shape for postoperative rebleeding and poor prognosis in ICH patients was analyzed using receiver operating characteristic(ROC)curve analysis.Results(1)A total of 440 ICH patients were enrolled,including 342 males and 98 females,aged from 20 to 84 years with a mean age of(56±12)years.Statistically significant differences were observed in baseline and clinical data between patients with regular and irregular hematoma shapes before PSM,including age,admission GCS score,NIHSS score,NLR,proportion of patients with hematoma rupture into ventricles,preoperative hematoma volume,proportion of patients with midline shift,preoperative volume of hematoma surrounding edema,proportion of patients with hematoma located in multiple sites,and postoperative 2-day hematoma volume(all P＜0.05).After propensity score matching of these factors,298 ICH patients were included in the statistical analysis,comprising 228 males and 70 females,with an age range of 20 to 84 years and a mean age of(57±12)years.Following PSM,no statistically significant differences were observed in the baseline and clinical characteristics between patients with irregular and regular hematoma shapes(all P＞0.05).(2)After propensity score matching,28 patients experienced postoperative re-bleeding while 270 did not.Significant differences were observed between the two groups in the following factors:proportion of patients with a history of anticoagulant use,admission PLR,NLR,irregular hematoma shape,and hematoma volume at 2 days after operation(all P＜0.05).No statistically significant differences were found in the remaining baseline and clinical characteristics(all P＞0.05).Using postoperative re-bleeding as the dependent variable and incorporating factors with P＜0.05 from the univariate analysis as independent variables,multivariate Logistic regression analysis identified irregular hematoma shape(OR,2.821,95％CI 1.142-6.968,P=0.025)and larger hematoma volume at 2 days post-operation(OR,1.062,95％CI 1.026-1.099,P＜0.01)as independent risk factors for re-bleeding following intracranial hematoma evacuation in ICH patients.ROC curve analysis demonstrated that irregular hematoma shape predicted postoperative re-bleeding with an area under the curve(AUC)of 0.62,showing a sensitivity of 71.4％and a specificity of 52.2％.(3)After propensity score matching,174 patients had poor prognosis while 124 had good prognosis.Significant intergroup differences were observed in age,admission GCS score,NIHSS score,irregular hematoma shape,proportion of patients with hematomas located in the basal ganglia and cerebral lobes,and hematoma volume at 2 days post-operation(all P＜0.05).No statistically significant differences were found in the remaining baseline and clinical characteristics(all P＞0.05).Using poor prognosis as the dependent variable and incorporating factors with P＜0.05 from univariate analysis as independent variables,multivariate Logistic regression analysis revealed that advanced age(OR,1.039,95％CI 1.015-1.064,P=0.002),high admission NIHSS score(OR,1.068,95％CI 1.025-1.113,P=0.002),irregular hematoma shape(OR,2.675,95％CI 1.582-4.524,P＜0.01),and larger hematoma volume at 2 days post-operation(OR,1.033,95％CI 1.002-1.064,P=0.038)were independent risk factors for poor prognosis.Conversely,lobar hematoma location(OR,0.192,95％CI 0.073-0.504,P＜0.01)was identified as a protective factor.ROC curve analysis showed that irregular hematoma shape predicted poor prognosis after intracranial hematoma evacuation with an AUC of 0.61,demonstrating a sensitivity of 59.2％and specificity of 62.9％.Conclusion Irregular hematoma shape on head CT is an independent risk factor for both postoperative re-bleeding and poor prognosis in ICH patients undergoing craniotomy for hematoma evacuation.

Aim To explore the mechanism by which the compound Chaijin Jieyu formula(CCJJY)regulates the TLR4/NLRP3 signaling pathway to inhibit central oxidative stress and improve hippocampal synaptic plasticity damage in depression.Methods SD rats were randomly divided into the control group,chronic unpredictable mild stress group,sleep deprivation group,chronic unpredictable mild stress combined with sleep deprivation group,positive drug group(venlafax-ine+melatonin),low-dose group of CCJJY,medium dose group of CCJJY,and high-dose group of CCJJY,with nine rats in each group.Except for the control group,a rat model of depression complicated with in-somnia was established using chronic unpredictable mild stress combined with sleep deprivation.Depres-sion-like and sleep behaviors in rats were evaluated through weight,food intake,water maze,and pento-barbital sodium tests.ELisa was used to detect ROS,AANAT,and HPLC-EC was used to detect 5-HT con-tent,while Western blot/RT-PCR was used to detect the expression of IL-1β,TLR4,NLRP3,PSD-95,and SYN related proteins and mRNA.HE and Golgic stai-ning were used to observe the pathological changes in the third ventricle,hippocampus,and neuronal synap-ses.Results Compared with the control group,the depression-like behaviors of the model group rats were significant.The expression of IL-1β,TLR4,and NL-RP3 in the hippocampus increased,while the expres-sion of PSD-95 and SYN decreased.Activation of NL-RP3 inflammasomes led to "sleeve like" pathological changes in the third ventricle,with hippocampal neu-rons undergoing apoptosis and significant damage to neuronal synaptic plasticity.Compared with the model group,after intervention with CCJJY,the expression of ROS,IL-1β,TLR4,and NLRP3 decreased,while the expression of AANAT,5-HT,PSD-95,and SYN in-creased.Pathological damage to the third ventricle and hippocampal neurons was repaired.Conclusion The CCJJY improves hippocampal synaptic plasticity dam-age in depression by regulating the TLR4/NLRP3 sig-naling pathway to inhibit central oxidative stress.