Chronic obstructive pulmonary disease （COPD） is a chronic respiratory disease that poses a significant threat to global health， exhibiting high morbidity， disability and mortality rate， with its prevention and treatment situation becoming increasingly critical. The pathogenesis of COPD is complex， and the underlying cellular and molecular biological mechanisms remain incompletely elucidated. Programmed cell death （PCD） is the process wherein cells actively undergo demise to maintain internal environmental stability in response to certain signals or specific stimuli. Contemporary medical research indicates that the dysregulation of PCD patterns such as apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis is closely related to the onset and progression of COPD. Clarifying the molecular mechanisms of PCD in COPD may provide novel perspectives for in-depth understanding and prevention of the disease. Traditional Chinese medicine （TCM） is characterized by holistic regulation. In recent years， extensive research has been conducted in the TCM field focusing on modulating apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis for the treatment of COPD， yielding remarkable achievements. Therefore， this study systematically explored the molecular mechanism of PCD in COPD and reviewed the potential mechanisms and intervention status of TCM targeting PCD in COPD， aiming to provide insights and references for the clinical prevention， treatment and in-depth research of COPD.

Chronic obstructive pulmonary disease （COPD） is a chronic respiratory disease that poses a significant threat to global health， exhibiting high morbidity， disability and mortality rate， with its prevention and treatment situation becoming increasingly critical. The pathogenesis of COPD is complex， and the underlying cellular and molecular biological mechanisms remain incompletely elucidated. Programmed cell death （PCD） is the process wherein cells actively undergo demise to maintain internal environmental stability in response to certain signals or specific stimuli. Contemporary medical research indicates that the dysregulation of PCD patterns such as apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis is closely related to the onset and progression of COPD. Clarifying the molecular mechanisms of PCD in COPD may provide novel perspectives for in-depth understanding and prevention of the disease. Traditional Chinese medicine （TCM） is characterized by holistic regulation. In recent years， extensive research has been conducted in the TCM field focusing on modulating apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis for the treatment of COPD， yielding remarkable achievements. Therefore， this study systematically explored the molecular mechanism of PCD in COPD and reviewed the potential mechanisms and intervention status of TCM targeting PCD in COPD， aiming to provide insights and references for the clinical prevention， treatment and in-depth research of COPD.

ObjectiveBased on ultra-high performance liquid chromatography-quadrupole-electrostatic field orbital trap-linear ion-trap mass spectrometry（UPLC-Orbitrap Fusion Lumos Tribrid-MS）， the plasma concentration of ziyuglycoside Ⅰ was determined at different time points after oral administration， and its pharmacokinetic characteristics in normal rats and rats with acute kidney injury were compared. MethodsRats were randomly divided into normal group and model group， the model group received intraperitoneal cisplatin（10 mg·kg^-1） to establish the acute kidney injury model， the normal group was given the same volume of saline. After successful modeling， rats in the normal and model groups were randomly divided into the normal low， medium and high dose groups（2.5， 5， 7.5 mg·kg^-1） and the model low， medium and high dose groups（2.5， 5， 7.5 mg·kg^-1）， 6 rats in each group， and the plasma was collected at different time points after receiving the corresponding dose of ziyuglycoside Ⅰ. Then， the concentration of ziyuglycoside Ⅰ in rat plasma was determined by UPLC-Orbitrap Fusion Lumos Tribrid-MS， and the drug-time curve was poltted. The pharmacokinetic parameters were calculated by Kinetica 5.1 software， and the differences in pharmacokinetic parameters between different administration groups were compared by independent sample t-test with SPSS 22.0. ResultsThe pharmacokinetic results showed that after receiving the different doses of ziyuglycoside Ⅰ， its concentration increased first and then decreased， and all of them reached the maximum plasma concentration at about 0.5 h. The area under the curve（AUC_0-t） and mean retention time（MRT_0-t） of normal and model rats increased with the increased dose， and the clearance（CL） decreased with the increasing dose. Compared with the normal group， the AUC_0-t was significantly increased（P<0.01）， peak concentration（C_max） and CL decreased in model rats at different doses， indicating that the physiological state of the rats could affect the absorption and elimination of ziyuglycoside Ⅰ in vivo. ConclusionThe pharmacokinetic characteristics of ziyuglycoside Ⅰ are quite different in normal rats and acute kidney injury model rats， which may be due to the change of the body environment in the pathological state， then lead to changes in absorption and metabolic processes.

Objective:To explore the associated factors for membranous nephropathy (MN) patients with IgM deposition, and to construct a prediction model.Methods:This study was a retrospective cohort study. Patients diagnosed with MN with IgM deposition by renal biopsy in the Fourth Hospital of Hebei Medical University from February 2017 to December 2023 were retrospectively included. Clinical and pathological data were collected. The study population was randomized into a training set and a validation set at a 7:3 ratio. The endpoint event was defined as the remission of MN, and the patients were divided into remission group and non-remission group to compare the clinical and pathological examination results. Least absolute shrinkage and selection operator regression analysis and Cox regression analysis were used to explore the associated factors of poor prognosis of MN patients with IgM deposition. Internal validation was conducted using the validation set data. The clinical efficacy of the predictive model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve and generating calibration curves. The total nomogram score for each patient was calculated based on the training set data, and the predictive performance was assessed by plotting the ROC curve. Patients were then stratified into low-risk and high-risk groups according to the optimal cut-off value derived from the ROC analysis of the total nomogram score. Kaplan-Meier survival analysis was performed to compare the remission rate between the two groups. Model performance was evaluated using the validation set.Results:A total of 200 MN patients with IgM deposition were included, and 49.0% of them achieved clinical remission. In the training set, statistically significant differences were observed in 24-hour urine protein quantification ( Z=-2.638, P=0.008), renal arteriolar wall thickening ( χ2=6.891, P=0.009), the proportion of patients receiving immunosuppressive therapy ( χ2=21.381, P<0.001), and the proportion of patients treated with corticosteroids combined with cyclophosphamide ( χ2=10.107, P=0.001). Through least absolute shrinkage and selection operator regression and Cox regression, 2 factors associated with clinical remission in MN patients with IgM deposition were simultaneously identified from 16 potential associated factors, including the use of immunosuppressants ( HR=3.823, 95% CI 2.055-7.113, P<0.001), and renal arteriolar wall thickening ( HR=0.428, 95% CI 0.221-0.831, P=0.012). Incorporating the clinical measurement of phospholipase A2 receptor (PLA2R) antibodies, a predictive model was established. The performance of the model was evaluated using the training dataset, yielding an area under the ROC curve of 0.731 (95% CI 0.648-0.814), with a sensitivity of 88.7% and a specificity of 55.1%. The optimal cut-off value was a total nomogram score of 41.7 points. The Kaplan-Meier survival analysis showed that the remission rate was significantly higher in the low-risk group than that of the high-risk group (Log-rank test, χ2=33.525, P<0.001). Model validation was performed using the validation dataset, which showed an AUC of 0.715 (95% CI 0.591-0.839), sensitivity of 70.4%, and specificity of 63.6%. Similarly, the Kaplan-Meier survival analysis demonstrated a significantly higher remission rate in the low-risk group than in the high-risk group (Log-rank test, χ2=8.467, P=0.004). Conclusion:A nomogram predictive model for remission of MN patients with IgM deposition, based on serum PLA2R antibody levels, the use of immunosuppressive therapy, and renal arteriolar wall thickening is developed. The model demonstrates a moderate clinical applicability.

Objective:To understand trends and hotspots of TCM research papers published in journals with high IF basing on a bibliometric analysis.Methods:TCM research papers published between January 1, 2014 and December 31, 2024 from 80 journals with IF higher than 16.0 were retrieved from medical, life sciences and comprehensive journals in Journal Citation Reports of 2024. CiteSpace 6.3.R1 and Excel 2021 were used to analyze and visualize annual publication volume, research fields, features of clinical study, institutes, funds and keywords.Results:A total of 51 papers were included, showing an increasing trend in annual publication volume; the main research areas were pharmacology, acupuncture&moxibustion and internal medicine. Multi-center randomized controlled trials were the main clinical studies; China Academy of Chinese Medical Sciences was the leading institute in terms of publication volume; 84 funds were involved, including National Natural Science Foundation of China. Keywords that appeared most frequently were TCM, efficacy, double blind, electroacupuncture, stimulation and management.Conclusion:The number and quality of TCM research papers are improved simultaneously; future research needs to deepen international cooperation, and pay attention to the integration of TCM diagnosis and treatment characteristics and modern scientific research methods.

ObjectiveTo investigate the recurrence of ischemic stroke (IS) and to analyze the association between four indices of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) and the risk of IS recurrence by analyzing the follow-up data related to IS in the community-based natural population of Songjiang District, Shanghai, so as to provide a scientific basis for improving the prognosis of stroke patients in the community and controlling IS recurrence. MethodsA prospective follow-up study was conducted among the IS patients in the community-based cohort population, collecting data about patient’s age, gender, disease history, biochemical indicators, and etc. Cox regression model and restricted cubic spline model were used to analyze the relationship between different levels of plasma lipids and the recurrence of IS in these patients. ResultsA total of 1 368 patients with IS were included. The total follow-up duration was 7 171.46 person-years, with a median follow-up time of 6.24 years. There were 420 cases of IS recurrence, resulting in a cumulative recurrence rate of 30.70%. The results of multivariate Cox regression analysis showed that the recurrence risk of IS was reduced when the baseline TC and LDL-C levels of IS patients were in the ranges of 4.65‒5.67 mmol·L^-1 and 2.52‒3.46 mmol·L^-1, respectively. The results of restricted cubic spline analysis showed a U-shaped relationship between baseline TC and LDL-C levels and the recurrence risk in IS patients. ConclusionThe cumulative recurrence rate of patients with IS in the community of Songjiang District in Shanghai is high, and the levels of TC and LDL-C at baseline survey are correlated with the recurrence of IS in these patients. It is suggested to pay more attention to the levels of LDL-C and TC in patients with IS, so as to improve the prognosis.

OBJECTIVE To explore the mechanism by which Cuscuta chinensis flavonoids （CCF） promote decidualization and improve recurrent spontaneous abortion （RSA）. METHODS HTR-8/SVneo cells in logarithmic growth phase were randomly divided into blank group， lipopolysaccharide （LPS） group， CCF group， SGK2 inhibitor （GSK650394， abbreviated as “GSK”） group and CCF+GSK group. Each group was treated with the corresponding agents accordingly. HTR-8/SVneo cells with SGK2 knockdown were randomly divided into small interfering RNA of SGK2 （siSGK2） group and siSGK2+CCF group； additionally， blank group and LPS group were established； each group was treated with the corresponding agents accordingly. The cell survival rate， expression levels of WNK signaling pathway- and decidualization-related proteins and mRNAs， as well as mitochondrial membrane potential levels， were assessed in each group before and after SGK2 knockdown. RSA mice model was constructed and randomly divided into model group， CCF low-dose group， CCF high-dose group， GSK group， and combined dosing group， with 4 mice in each group. Other 4 normal pregnant female mice were selected as the control group. The number of implanted embryos， viable fetuses， and lost embryos in mice was recorded. The morphological changes of endometrium and decidualization were observed， and WNK signaling pathway- and decidualization-related proteins and mRNAs expressing levels as well as mitochondrial membrane potential levels were all detected. RESULTS Compared with the blank group， the cell survival rate， as well as the protein and mRNA expression levels of SGK2， WNK1， WNK4， prolactin， insulin-like growth factor- binding protein-1， oxidative stress responsive kinase 1， and Ste20-like proline-/alanine-rich kinase were significantly reduced in the LPS group （P＜0.05）； compared with the LPS group， the cell survival rate and the expression levels of the above- mentioned proteins and mRNAs were significantly increased in the CCF group， while the cell survival rate and the expression levels of the above-mentioned proteins and mRNAs were significantly decreased in the GSK group （P＜0.05）； compared with the CCF group， the cell survival rate and the expression levels of the above-mentioned proteins and mRNAs were significantly reduced in the CCF+GSK group （P＜0.05）. After knocking down SGK2， compared with the LPS group， the cell survival rate， red/green fluorescence intensity ratio， and the expression levels of the above-mentioned proteins and mRNAs were significantly reduced in the siSGK2 group （P＜0.05）； compared with the siSGK2 group， the cell survival rate， red/green fluorescence intensity ratio， and the expression levels of the above-mentioned proteins and mRNAs were significantly increased in the siSGK2+CCF group （P＜0.05）. The in vivo experimental results showed that CCF treatment can significantly improve the number of implanted embryos and viable fetuses in RSA model mice and reduce lost embryos， the expression levels of the above-mentioned proteins and mRNAs in endometrial tissue were significantly increased， and the red/green fluorescence intensity ratio was significantly increased （P＜ 0.05）； the combined dosing group could reverse the effect of CCF （P＜0.05）. CONCLUSIONS CCF can activate SGK2， up- regulate the WNK signaling pathway， promote endometrial decidualization， and improve RSA.

Objective:To explore the associated factors for membranous nephropathy (MN) patients with IgM deposition, and to construct a prediction model.Methods:This study was a retrospective cohort study. Patients diagnosed with MN with IgM deposition by renal biopsy in the Fourth Hospital of Hebei Medical University from February 2017 to December 2023 were retrospectively included. Clinical and pathological data were collected. The study population was randomized into a training set and a validation set at a 7:3 ratio. The endpoint event was defined as the remission of MN, and the patients were divided into remission group and non-remission group to compare the clinical and pathological examination results. Least absolute shrinkage and selection operator regression analysis and Cox regression analysis were used to explore the associated factors of poor prognosis of MN patients with IgM deposition. Internal validation was conducted using the validation set data. The clinical efficacy of the predictive model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve and generating calibration curves. The total nomogram score for each patient was calculated based on the training set data, and the predictive performance was assessed by plotting the ROC curve. Patients were then stratified into low-risk and high-risk groups according to the optimal cut-off value derived from the ROC analysis of the total nomogram score. Kaplan-Meier survival analysis was performed to compare the remission rate between the two groups. Model performance was evaluated using the validation set.Results:A total of 200 MN patients with IgM deposition were included, and 49.0% of them achieved clinical remission. In the training set, statistically significant differences were observed in 24-hour urine protein quantification ( Z=-2.638, P=0.008), renal arteriolar wall thickening ( χ2=6.891, P=0.009), the proportion of patients receiving immunosuppressive therapy ( χ2=21.381, P<0.001), and the proportion of patients treated with corticosteroids combined with cyclophosphamide ( χ2=10.107, P=0.001). Through least absolute shrinkage and selection operator regression and Cox regression, 2 factors associated with clinical remission in MN patients with IgM deposition were simultaneously identified from 16 potential associated factors, including the use of immunosuppressants ( HR=3.823, 95% CI 2.055-7.113, P<0.001), and renal arteriolar wall thickening ( HR=0.428, 95% CI 0.221-0.831, P=0.012). Incorporating the clinical measurement of phospholipase A2 receptor (PLA2R) antibodies, a predictive model was established. The performance of the model was evaluated using the training dataset, yielding an area under the ROC curve of 0.731 (95% CI 0.648-0.814), with a sensitivity of 88.7% and a specificity of 55.1%. The optimal cut-off value was a total nomogram score of 41.7 points. The Kaplan-Meier survival analysis showed that the remission rate was significantly higher in the low-risk group than that of the high-risk group (Log-rank test, χ2=33.525, P<0.001). Model validation was performed using the validation dataset, which showed an AUC of 0.715 (95% CI 0.591-0.839), sensitivity of 70.4%, and specificity of 63.6%. Similarly, the Kaplan-Meier survival analysis demonstrated a significantly higher remission rate in the low-risk group than in the high-risk group (Log-rank test, χ2=8.467, P=0.004). Conclusion:A nomogram predictive model for remission of MN patients with IgM deposition, based on serum PLA2R antibody levels, the use of immunosuppressive therapy, and renal arteriolar wall thickening is developed. The model demonstrates a moderate clinical applicability.

Background Exposure to per- and polyfluoroalkyl substances (PFAS) is associated with various cancers, and recent studies suggest it may also increase the risk of retinoblastoma (RB) in newborns. However, the pathogenic mechanisms remain unclear. Objective By constructing an adverse outcome pathway (AOP) framework based on public databases to elucidate the potential mechanisms linking PFAS and RB. Methods Chemical-gene interactions and disease-gene interactions from the Comparative Toxicogenomics Database were retracted to identify key toxicological disruption pathways using Kyoto Encyclopedia of Genes and Genomes (KEGG) and a priori knowledge. The Pathview package in R was employed to predict molecular initiating events, key events, and their associated phenotypes, for further understanding the relevant gene-molecule interaction toxicity pathway network. Molecular docking techniques were utilized to validate the affinity of PFAS for these molecular initiating events. An AOP framework focused on toxicological pathways was developed using classical AOP methodologies. Results The PI3K-AKT/MAPK signaling pathway was identified as a potential toxicological pathway involved in PFAS-related RB development, based on KEGG and a priori knowledge. The activation of receptor tyrosine kinases (RTKs) served as the molecular initiating event, leading to the activation of key oncogenes such as RAS and AKT, as well as nuclear factor kappa-light chainenhancer of activated B cells (NF-κB), along with the inhibition of the tumor suppressor gene P53. In this study, 14 types of PFAS demonstrated good binding affinity with most RTKs, with chlorinated polyfluorinated ether sulfonates (Cl-PFESAs) showing particularly favorable predicted binding. Oncogenes, including the c-kit-encoded tyrosine kinase receptor for stem cell factor, epidermal growth factor receptor, and neurotrophic tyrosine kinase receptor 1, were identified as the receptors with the best predicted binding affinity. Conclusion The PI3K-AKT/MAPK signaling pathway may serve as a potential toxicological mechanism linking PFAS to an increased risk of RB.

Objective:To analyze the patterns of dynamic functional connectivity(dFC) at rest in different obsessive-compulsive disorder(OCD) subtypes based on gray matter volume, and explore the relationship between abnormal gray matter volume and dFC patterns and clinical symptoms in different OCD subtypes.Methods:Clinical data were prospectively collected from a total of 48 patients with OCD from inpatient and outpatient departments of the Fourth Affiliated Hospital of Qiqihar Medical College(20 cases) and Qiqihar Mental Health Center(28 cases) from September 2013 to March 2020. There were 33 males and 15 females, aged 18 to 42(27.1±6.7) years. During the same period, 39 age-matched healthy controls were also recruited, including 31 males and 8 females, aged 18 to 43(28.5±8.6) years. Structural and resting-state functional magnetic resonance imaging scans were performed on 48 OCD patients(OCD group) who met the ICD-10 diagnostic criteria and 39 healthy controls(control group). Using voxel-based morphometry(VBM) and semi-supervised machine learning methods, the patient group was characterized by gray matter volume to perform subtype analysis, and brain regions with abnormal gray matter volume were selected as regions of interest for whole-brain voxel-wise dFC analysis. Correlations between abnormal gray matter volume and dFC and clinical symptoms in OCD patients were analyzed.Results:Based on gray matter volume, OCD patients were computed into two subtypes, of which subtype 1 increased gray matter volume in the right central posterior gyrus(809 voxels; t=4.31; GRF corrected voxel P<0.001, cluster P<0.05 two-tailed), and subtype 2 showed reduced gray matter volume in the left superior temporal gyrus(1 118 voxels; t=-4.37; GRF corrected voxel P<0.001, cluster P<0.05 two-tailed). In subtype 1, the dFC between the right central posterior gyrus and left medial superior frontal gyrus was significantly reduced(187 voxels; t=-4.42; GRF corrected voxel P<0.001, cluster P<0.05 two-tailed); in subtype 2, dFC between the left superior temporal gyrus and left hippocampus, and left central opercular cortex was significantly reduced(272 voxels、99 voxels; t=-4.69, -5.01; GRF corrected voxel P<0.001, cluster P<0.05 two-tailed). In subtype 1, dFC between the right central posterior gyrus and left medial superior frontal gyrus was negatively correlated with illness duration( r=-0.579; P=0.002, uncorrected). In subtype 2, dFC between the left superior temporal gyrus and left hippocampus was positively correlated with illness duration( r=0.578; P=0.003, uncorrected). Conclusions:In the resting state, patients with different subtypes of OCD may have different patterns of dFC abnormalities based on gray matter volume.