ObjectiveTo explore the mechanism by which the Shenfu Xiongze prescription regulates autophagy in rats with myocardial remodeling through the adenosine monophosphate-activated protein kinase （AMPK）/mammalian target of rapamycin （mTOR） signaling pathway. MethodsA rat model of myocardial remodeling induced by isoprenaline （ISO） was established. Rats were divided into the blank group，the model group，the low-，medium-， and high-dose groups of Shenfu Xiongze prescription，and the captopril group， 6 rats in each group. Except for the blank group，the rat model of myocardial remodeling was established in the other groups by intraperitoneal injection of 2.5 mg·kg^-1 ISO for 3 consecutive weeks. At the same time of modeling， the low-，medium-， and high-dose groups of Shenfu Xiongze prescription were administered the corresponding doses of Shenfu Xiongze prescription solution （8.4，16.8，and 33.6 g·kg^-1），and the captopril group was administered captopril solution （25 mg·kg^-1）. As for the blank group and the model group， the same volume of normal saline was given. The treatment was continued for 3 weeks. Echocardiography was used to observe the cardiac structure and function，and the heart weight index was detected. Masson staining and hematoxylin-eosin （HE） staining were used to observe the pathological morphology changes of myocardial tissue. The levels of interleukin-6 （IL-6） and B-type natriuretic peptide （BNP） in serum were detected by enzyme-linked immunosorbent assay （ELISA）. The expression of type Ⅰ collagen （Collagen Ⅰ），type Ⅲ collagen （Collagen Ⅲ），and microtubule-associated protein 1 light chain 3 （LC3） proteins in myocardial tissue was determined by immunohistochemistry. Autophagy was observed by transmission electron microscopy. The mRNA expression of Collagen Ⅰ，Collagen Ⅲ，α-smooth muscle actin （α-SMA），LC3，yeast Atg6 homolog protein （Beclin-1），AMPK，and mTOR in myocardial tissue was detected by quantitative real-time polymerase chain reaction （real-time PCR）. The protein expression of Collagen Ⅰ，α-SMA，transforming growth factor-β₁ （TGF-β₁），LC3，Beclin-1，p62， phosphorylation（p）-AMPK，p-mTOR，AMPK，and mTOR was detected by Western blot. ResultsCompared with the normal group，rats in the model group exhibited significantly decreased values of ejection fraction （EF） and left ventricular fractional shortening （FS） （P<0.01）， significantly increased values of left ventricular end-diastolic diameter （LVIDd） and left ventricular end-systolic diameter （LVIDs） （P<0.01）. Additionally， the model group also showed increased degrees of inflammatory infiltration and fibrosis of myocardial tissue， significantly elevated levels of serum IL-6 and BNP （P<0.01）， significantly increased mRNA and protein levels of Collagen Ⅰ，Collagen Ⅲ，α-SMA，and mTOR （P<0.01），and markedly decreased mRNA and protein levels of LC3，Beclin-1，and AMPK （P<0.05，P<0.01）. Compared with the model group， the low-，medium-， and high-dose groups of Shenfu Xiongze prescription presented significantly elevated EF and FS values （P<0.01） and lowered LVIDd and LVIDs （P<0.05）. In these groups， the inflammation and fibrosis were alleviated significantly. They also exhibited decreased serum levels of IL-6 and BNP （P<0.01）， significantly reduced protein expression of Collagen Ⅰ， α-SMA， TGF-β₁， p62， and p-mTOR （P<0.01）， significantly decreased mRNA expression of Collagen Ⅰ， Collagen Ⅲ， α-SMA， and mTOR （P<0.01）， and significantly increased mRNA and protein levels of LC3， Beclin-1， and AMPK （P<0.05，P<0.01）. ConclusionThe Shenfu Xiongze prescription can improve the myocardial remodeling induced by ISO in rats by regulating the autophagy level，enhance cardiac function，and reduce inflammatory and fibrotic levels. This effect may be achieved through the AMPK/mTOR signaling pathway.

ObjectiveThe widespread adoption of portable fundus cameras for primary care and community screening is hindered by limitations in current autofocus(AF) technologies. Image-based methods relying on sharpness evaluation require iterative searches, resulting in slow convergence, while projection-based techniques are susceptible to optical artifacts and calibration errors. To address these challenges, this study introduces a novel AF system based on direct wavefront sensing, designed to deliver simultaneous high speed, high precision, and operational robustness within the compact form factor essential for portable ophthalmic devices. MethodsOur approach fundamentally reimagines the AF process by directly measuring the ocular wavefront aberration. We developed a custom portable fundus camera integrating a miniaturized Shack-Hartmann wavefront sensor (SHWS) into the optical path. An 850 nm laser diode projects a point source onto the retina via oblique illumination to minimize corneal reflections. Light scattered from this spot carries the eye’s refractive error through the imaging optics and is directed to the SHWS, positioned at a plane optically conjugate to the primary color CMOS imaging sensor. A microlens array within the SHWS samples the incident wavefront, generating a pattern of focal spots on a CCD. Real-time centroid analysis of these spots provides a map of local wavefront slopes. These measurements are processed through a singular value decomposition (SVD) algorithm to fit a Zernike polynomial basis set, enabling real-time reconstruction of the wavefront phase. The defocus component (S) is extracted from the second-order Zernike coefficients, providing a direct, quantitative measure of the refractive error in diopters. This value serves as a precise error signal in a closed-loop control system, which commands a voice-coil actuated focusing lens to its null position in a single, deterministic step, eliminating the need for iterative search algorithms. ResultsComprehensive evaluation demonstrated the system’s high performance. Testing on a calibrated model eye (OEMI-7) established a highly linear relationship between the computed defocus S and the focusing lens position across a ±20 Diopter (D) compensation range, achievable within a 5 mm mechanical travel. The system achieved a focusing precision of 0.08 D, corresponding to an 18-fold improvement over a conventional projection spot-size method tested under identical conditions. The total focus acquisition time, encompassing wavefront measurement, computation, and lens actuation, averaged under 0.5 s. Clinical validation with 25 human volunteers (50 eyes, refractive range -15 D to +10 D) confirmed practical efficacy. The wavefront-sensing AF succeeded in 92% of attempts with a mean time of 0.5 s, substantially outperforming a projection-based benchmark which achieved only a 32% success rate with an average time of 4.25 s. The system provided instantaneous directional guidance and maintained stability during minor ocular movements. Objective assessment of image quality, via amplitude contrast of retinal vasculature, showed consistent and significant enhancement following AF correction across the entire tested diopter range. ConclusionThis work successfully implements and validates a direct wavefront-sensing autofocus paradigm for portable fundus cameras. By directly quantifying and compensating for the optical defocus aberration, this method bypasses the fundamental limitations of image-processing and projection-based techniques, enabling rapid, precise, and deterministic diopter compensation. The developed system delivers an exceptional combination of a wide operational range (±20 D), high accuracy (0.08 D), fast convergence (0.5 s), and a compact physical footprint. This technology provides a practical and high-performance focusing solution capable of enhancing the reliability, throughput, and diagnostic utility of portable retinal imaging in large-scale screening applications. Future efforts will be directed towards system cost optimization and performance adaptation for diverse ocular conditions.

ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

Objective To investigate the changes in the tumor microenvironment of pancreatic cancer(PDAC)complicated with diabetes mellitus(DM)in a mouse model of hyperglycemia and orthotopic pancreatic cancer by analyzing transcriptome and single-cell transcriptome data in order to identify potential therapeutic targets.Method By integrating single-cell transcriptome and bulk transcriptome data,bioinformatics analysis was conducted to compare the characteristics of tumor cells and tumor immune microenvironment between PDAC patients with DM(DM group)and those without DM(non-DM group).Twenty male C57BL/6 mice(6 weeks old,weighing 18～20 g)were randomly divided into a hyperglycemic group[STZ group,continuous intraperitoneal injection of 50 mg/kg streptozocin(STZ)(final concentration of 1％)dissolved in citrate buffer],and a control group(Control group,an equivalent volume of citrate buffer without STZ at the same time points),with 10 mice in each group.Tail-tip blood glucose level was measured to monitor glycemic status.After orthotopic inoculation of pancreatic cancer cells in both Control and STZ groups,tumor-infiltrating immune cells were harvested.Flow cytometry was employed to determine the effects of hyperglycemia on:total CD8+T cell and Treg cell populations;CD8+T cell subsets expressing Ki67,TNF-α,granzyme B(GZMB)and IFN-γ;surface expression of PD-1,lymphocyte activation gene-3(LAG-3)and T cell immunoglobulin and mucin domain-3(Tim-3)on CD8+T cells;programmed death-ligand 1(PD-L1)expression on tumor cells;and tumor-associated macrophage surface expression of major histocompatibility complex classⅠ(MHC-Ⅰ)and cluster of differentiation 206(CD206).Results Bioinformatics analysis revealed that,compared to the non-DM group,the genes significantly up-regulated in the DM group were associated with poor prognosis(P＜0.001).The proportion of type 2 ductal cells was increased in the DM group,exhibiting higher levels of copy number variation(P＜0.001).In the tumor immune microenvironment of the DM group,there was an increase in the proportion of Treg cells(P＜0.05)and an elevated exhaustion score for CD8+T cells(P＜0.001),accompanied by down-regulated expression of effector molecules,up-regulated expression of inhibitory checkpoints,and a significant increase in the M2 score of M2-like macrophages(P＜0.001).Animal experiments and flow cytometry found that,compared to the Control group,the STZ group had a shorter survival time(P＜0.001),with decreased proportions of total CD8+T cells(P＜0.01)and CD8+T cells expressing Ki67,TNF-α,GZMB and IFN-γ(P＜0.01),increased proportion of Treg cells(P＜0.001),up-regulated expression of PD-1,LAG-3 and Tim-3 on the surface of CD8+T cells(P＜0.001),and up-regulation of PD-L1 on tumor cell surface(P＜0.001)and enhanced expression of CD206 on the surface of tumor-associated macrophages,while down-regulated expression of MHC-Ⅰ(P＜0.001).Conclusion High glucose promotes the formation of an immunosuppressive microenvironment in PDAC,and targeting type 2 ductal cells and immunosuppressive cells in the tumor microenvironment,combined with dual immune checkpoint antibody therapy,may improve patient prognosis.

Objective To develop and validate a prediction model for risk of amputation in patients with diabetic foot ulcers(DFU)based on systematic review and meta-analysis.Methods The studies on the risk factors of amputation in DFU patients was retrieved by using subject words+free words.After screening,37 cohort studies were finally included,and the Newcastle-Ottawa scale(NOS)was used for quality evaluation.Meta-analysis was performed on the risk factors of amputation in DFU.Then a prediction model for DFU amputation risk were constructed based on the statistically significant risk factors in the meta-analysis.The corresponding β value was calculated based on the combined odds ratio(OR)value of each risk factor,and each risk factor was scored to establish a scoring system model.The clinical data of 453 DFU patients hospitalized in our department from 2021 to 2023 were collected as a validation cohort.Receiver operating characteristic(ROC)curve analysis was used to evaluate the model performance.The area under the curve(AUC)was calculated,and the optimal cutoff score was determined by calculation of the maximum Youden index through sensitivity and specificity.Results Our meta-analysis showed a cumulative amputation rate of approximately 34.65%in 11 779 DFU patients.The final risk prediction models include gangrene[OR=11.92(5.86～24.24)],ulcer depth[OR=4.93(2.52～9.64)],osteomyelitis[OR=3.19(2.36～4.29)],previous amputation history[OR=3.19(2.00～5.09)]and lower extremity arterial disease[OR=3.10(2.31～4.17)].According to the weights of each risk factor,the total score of the model is 76,and the optimal cut-off score is 36.5.The prediction model performed well,with an AUC value of 0.864(0.824,0.903),a sensitivity of 0.743,a specificity of 0.859,and an accuracy rate of 83.00%.Conclusion A prediction model for DFU amputation risk is developed based on risk factor scoring,and has good discrimination and calibration,providing effective scientific basis for clinical research and clinical decision-making related to DFU amputation.

Objective To investigate the changes and clinical significance of serum kynurenine(KYN)and quinolinic acid(QA)levels in elderly patients with chronic kidney disease(CKD)complicated with major ad-verse cardiovascular events(MACE).Methods A total of 156 elderly patients with CKD treated in the Fourth People's Hospital of Taizhou from February 2022 to February 2024 were selected as the CKD group,and were divided into the MACE group(n=45)and the non-MACE group(n=111)according to whether they were complicated with MACE.A total of 80 healthy people who underwent physical examination in the Fourth People's Hospital of Taizhou during the same period were selected as the control group.High perform-ance liquid chromatography-tandem mass spectrometry was used to measure the serum KYN and QA levels in each group.Multivariate Logistic regression was used to analyze the risk factors for MACE in elderly CKD pa-tients.The receiver operating characteristic curve was used to analyze the predictive value of serum KYN and QA for MACE in elderly CKD patients.Results The levels of KYN and QA in CKD group were higher than those in control group(P<0.05).The age,levels of C-reactive protein,24 h urinary protein,KYN and QA in MACE group were higher than those in non-MACE group(P<0.05).The increased levels of 24 h urinary protein,C-reactive protein,KYN and QA were risk factors for MACE in elderly CKD patients(P<0.05).The area under the curve(AUC)of combined detection of serum KYN and QA for predicting MACE in elderly CKD patients was 0.920(95%CI 0.891-0.959),which was greater than the AUC of KYN[0.836(95%CI 0.804-0.879)]and QA[0.843(95%CI 0.798-0.887)]alone,and the difference was statistically significant(Z=4.023,3.897,P<0.05).Conclusion The levels of serum KYN and QA are increased in elderly CKD pa-tients with MACE,which are related to renal function.The combination of serum KYN and QA can effectively predict the risk of MACE in elderly CKD patients.

Objective:The components of Rubus parvifolius L. were analyzed based on UPLC-MS/MS technology and combined with network pharmacology analysis to explore the mechanism of action of Rubi Parvifolii Radix in treating inflammation, cough, fever, influenza and sore throat. Method:The chemical constituents of Rubi Parvifolii Radix were identified according to the information of mass spectrometry. The network pharmacology was used to analyze the corresponding targets and related pathways of its chemical components, and the "component-target-pathway" interaction diagram was drawn. PyMOL 2.5.7 software wasused to perform molecular docking between active components and key targets.Results:Twenty chemical components were identified by UPLC-MS/MS, and 15 components were screened out by network pharmacology, which can be used as quality markers of Rubi Parvifolii Radix, namely Azelaic acid, Procyanidol B3, Caprolactam, Bis (2-ethylhexyl) adipate, Cryptochlorogenic acid, 3-O-Feruloylquinic, Ellagic acid, Aurantiamide acetate, 2 α,3 β,19 α,23-Tetrahydroxyurs-12-en-28-oic acid, L-Epicatechin, (E)-3-Indoleacrylic acid, Euscaphic acid, Suberic acid, Diisononyl phthalate and Prodelphinidin T4. Molecular docking showed that 5 compounds compared with the reference substance could bind to the target proteins of disease well. Conclusions:The 15 active ingredients in Rubi Parvifolii Radix, including Caprolactam and (E)-3-Indoleacrylic acid, may play a therapeutic role in treating colds, high fever, sore throat, and inflammation by acting on targets such as AKT1 and TNF. This provides a certain reference for the clinical application of Rubi Parvifolii Radix.

Objective To investigate the immediate therapeutic efficacy of Kuanxiong Aerosol on improving the angina pectoris in the patients complicated with intermediate coronary stenosis(ICS),and to observe its effect on resting full-cycle ratio(RFR),corrected TIMI(thrombolysis in myocardial infarction)frame count(CTFC)in angiography,and coronary serum inflammatory factors.Methods Sixty angina pectoris patients with ICS admitted to the Cardiovascular Department of Dade Road Hospital,Guangdong Provincial Hospital of Traditional Chinese Medicine from March 2023 to March 2024 were randomly divided into the trial group and the control group,with 30 patients in each group.The trial group was given four consecutive sprays of Kuanxiong Aerosol by sublingual spray,and the control group had no intervention but just was given the monitoring for 10 minutes.Before and after the intervention,the changes of coronary RFR,CTFC,Visual Analogue Scale(VAS)score of chest pain,and the serum levels of C-reactive protein(CRP),interleukin 6(IL-6)and lipoprotein-associated phospholipase A2(Lp-PLA2)in the two groups were observed.Moreover,the incidence of adverse reactions during the intervention in the two groups of patients was compared.Results(1)After the intervention,the coronary RFR value of the trial group was increased significantly compared with that before intervention(P<0.01),while the coronary RFR value of the control group was not increased significantly compared with that before intervention(P>0.05);the comparison between the two groups showed that the effect on increasing the coronary RFR value in the trial group was superior to that in the control group(P<0.05).(2)After intervention,the CTFC value of the trial group was significantly decreased compared with that before intervention(P<0.01),while the CTFC value of the control group was not significantly decreased compared with that before intervention(P>0.05);the intergroup comparison showed that the trial group tended to have a better effect on the decrease of CTFC value than the control group,but the difference being not statistically significant(P>0.05).(3)After the intervention,the chest pain VAS score of the trial group was significantly reduced compared with that before intervention(P<0.01),while the pre-and post-treatment changes of the score in the control group was not significant(P>0.05);the intergroup comparison showed that the decrease of the chest pain VAS score in the trial group was superior to that in the control group(P<0.01).In particular for immediate therapeutic efficacy,Kuanxiong Aerosol achieved the effective rate of 96.67%(29/30)for relieving chest pain 10 minutes after sublingual spraying,which was significantly superior to that of the control group[10.00%(3/30)],and the comparison between the two groups showed that the difference was statistically significant(P<0.001).(4)After the intervention,the Lp-LPA2 value of the trial group was decreased compared with that before intervention(P<0.05),while the CRP and IL-6 values of the trial group as well as the CRP,IL-6,and Lp-LPA2 values of the control group were all not significantly decreased compared with those before intervention(P>0.05).The intergroup comparison showed that the trial group's effect on the decrease of Lp-LPA2 value was significantly superior to that of the control group(P<0.05).(5)Before and after the intervention,no obvious changes of the general vital signs in the two groups were shown,no drug-related adverse occurred,either.Conclusion Kuanxiong Aerosol can immediately improve the coronary physiological function indicators of angina pectoris patients with ICS,increase the coronary flow rate,and inhibit inflammatory response of the coronary artery to some degree,thus to alleviate the symptoms of angina pectoris in patients with ICS.

Objective To explore the relationship between education level and the risk of all-cause mortality in the middle-aged and elderly (≥45 years old) population in China. Methods Using data from five surveys from 2011-2020, years of education, age, gender, marital status, type of household, alcohol consumption status, smoking status, physical activity, limited ability to perform activities of daily living (ADLs), chronic disease status, and body mass index were collected. According to the survival status，the study participants were divided into a survival group (n=8625) and an all-cause mortality group (n=1735). Cox proportional risk regression model was used to analyze the relationship between years of education and the risk of all-cause mortality in middle-aged and elderly people with stratified analysis. Results The survey was conducted on 10360 research subjects, including 4 983 males and 5 377 females, with an age M(Q_R) of 59(8) years old. A total of 88 187 person years (average 8.512 person years) were followed up, and a total of 1735 deaths were reported over 9 years. The all-cause mortality rate was 19.674 ‰, with an education period M(Q_R) of 5(8) years and a survival time M(Q_R) of 9 (0) years. After adjusting for confounding factors, for every 1 year increase in education, the risk of all-cause mortality decreased by 2.60% [HR=0.974, 95% CI (0.960-0.988)]. The stratified analysis results showed that in the population aged 45-59, for every 1 year increase in education, the risk of all-cause mortality decreased by 1.00% [HR=0.990, 95% CI (0.959,1.021)]; In the population aged 60-74 and over 75, for every 1 year increase in education, the risk of all-cause mortality decreased by 2.70% [HR=0.973, 95% CI (0.948, 0.999)] and 3.50% [HR=0.965, 95% CI (0.929, 1.003)], respectively. Conclusion Improving the education level of middle-aged and elderly people (≥ 45 years old) in China can reduce the risk of all-cause mortality, and elderly education should be vigorously promoted.