ObjectiveThis paper aims to investigate the material basis of the anti-inflammatory efficacy and mechanism of action of Bushen Tongdu prescription （BSTDP）. MethodsThe chemical components of BSTDP and its blood-absorbed components in vivo were systematically identified by using ultra-performance liquid chromatography-linear ion trap-electrostatic field orbitrap high-resolution mass spectrometry （UPLC-LIT-Orbitrap-MS）. Network pharmacology was employed to screen blood-absorbed bioactive components and potential targets of this formula. A protein-protein interaction （PPI） network of core targets was constructed to conduct enrichment analysis. Molecular docking was further utilized to verify the binding affinity between key components and targets. The inflammatory model was established and verified in vivo by using a transgenic zebrafish Tg （mpx： GFP）. At three days post-fertilization （3 dpf）， larvae of zebrafish were randomly assigned to blank group， model group， positive drug dexamethasone acetate group （75 μmol·L^-1）， and BSTDP groups with low， medium， and high doses （500， 1 000， and 2 000 mg·L^-1）. The distribution and quantity of neutrophils in the yolk sac region were observed under a fluorescence microscope. The mRNA expression levels of key genes in the toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor kappa-B （NF-κB） signaling pathway and inflammatory factors including interleukin （IL）-1β， IL-6， and tumor necrosis factor-α （TNF-α） were detected by Real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsA total of 120 chemical components were identified in BSTDP， among which 26 original components were confirmed by using serum pharmacochemical methods. A total of 227 common targets linking rheumatoid arthritis （RA） and the blood-absorbed components were screened by network pharmacology. It is suggested that pseudobrucine， vomicine， sinapine， rehmannioside， cinnamyl alcohol glycoside， and methylephedrine exert anti-inflammatory effects by acting on core targets including protein kinase B1 （Akt1）， signal transducer and activator of transcription 3 （STAT3）， tumor necrosis factor （TNF）， TLR4， mitogen-activated protein kinase 14 （MAPK14）， and phosphatidylinositol-4，5-bisphosphate 3-kinase catalytic subunit α （PIK3CA）， thereby modulating multiple signaling pathways such as TLR4 and NF-κB. In vivo verification in zebrafish demonstrates that the maximum tolerable concentration of Bushen Tongdu Formula is 2 000 mg·L^-1. Compared to those in the blank group， zebrafish in the model group showed a significantly higher number of neutrophils in the yolk sac region （P<0.01） and rising mRNA levels of TLR4， MyD88， NF-κB， TNF-α， IL-6， and IL-1β （P<0.01）. Compared to that in the model group， the number of neutrophils was significantly reduced in BSTDP groups with medium and high doses， as well as the dexamethasone acetate group （P<0.05， P<0.01）. There was no statistically significant difference in the low dose group. The mRNA expression levels of TLR4， MyD88， NF-κB， TNF-α， IL-6， and IL-1β were significantly down-regulated （P<0.05， P<0.01）. ConclusionThis paper identifies the material basis of the efficacy of BSTDP， demonstrating that the formula can exert an anti-inflammatory effect through the TLR4/MyD88/NF-κB signaling pathway. The results provide scientific experimental evidence for its further clinical application.

ObjectiveThis paper aims to investigate the material basis of the anti-inflammatory efficacy and mechanism of action of Bushen Tongdu prescription （BSTDP）. MethodsThe chemical components of BSTDP and its blood-absorbed components in vivo were systematically identified by using ultra-performance liquid chromatography-linear ion trap-electrostatic field orbitrap high-resolution mass spectrometry （UPLC-LIT-Orbitrap-MS）. Network pharmacology was employed to screen blood-absorbed bioactive components and potential targets of this formula. A protein-protein interaction （PPI） network of core targets was constructed to conduct enrichment analysis. Molecular docking was further utilized to verify the binding affinity between key components and targets. The inflammatory model was established and verified in vivo by using a transgenic zebrafish Tg （mpx： GFP）. At three days post-fertilization （3 dpf）， larvae of zebrafish were randomly assigned to blank group， model group， positive drug dexamethasone acetate group （75 μmol·L^-1）， and BSTDP groups with low， medium， and high doses （500， 1 000， and 2 000 mg·L^-1）. The distribution and quantity of neutrophils in the yolk sac region were observed under a fluorescence microscope. The mRNA expression levels of key genes in the toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor kappa-B （NF-κB） signaling pathway and inflammatory factors including interleukin （IL）-1β， IL-6， and tumor necrosis factor-α （TNF-α） were detected by Real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsA total of 120 chemical components were identified in BSTDP， among which 26 original components were confirmed by using serum pharmacochemical methods. A total of 227 common targets linking rheumatoid arthritis （RA） and the blood-absorbed components were screened by network pharmacology. It is suggested that pseudobrucine， vomicine， sinapine， rehmannioside， cinnamyl alcohol glycoside， and methylephedrine exert anti-inflammatory effects by acting on core targets including protein kinase B1 （Akt1）， signal transducer and activator of transcription 3 （STAT3）， tumor necrosis factor （TNF）， TLR4， mitogen-activated protein kinase 14 （MAPK14）， and phosphatidylinositol-4，5-bisphosphate 3-kinase catalytic subunit α （PIK3CA）， thereby modulating multiple signaling pathways such as TLR4 and NF-κB. In vivo verification in zebrafish demonstrates that the maximum tolerable concentration of Bushen Tongdu Formula is 2 000 mg·L^-1. Compared to those in the blank group， zebrafish in the model group showed a significantly higher number of neutrophils in the yolk sac region （P<0.01） and rising mRNA levels of TLR4， MyD88， NF-κB， TNF-α， IL-6， and IL-1β （P<0.01）. Compared to that in the model group， the number of neutrophils was significantly reduced in BSTDP groups with medium and high doses， as well as the dexamethasone acetate group （P<0.05， P<0.01）. There was no statistically significant difference in the low dose group. The mRNA expression levels of TLR4， MyD88， NF-κB， TNF-α， IL-6， and IL-1β were significantly down-regulated （P<0.05， P<0.01）. ConclusionThis paper identifies the material basis of the efficacy of BSTDP， demonstrating that the formula can exert an anti-inflammatory effect through the TLR4/MyD88/NF-κB signaling pathway. The results provide scientific experimental evidence for its further clinical application.

Objective To investigate the post-discharge exercise behavior and factors influencing moderate to vigorous intensity physical activity (MVPA) in patients undergoing lung surgery. Methods A total of 2874 patients from the large prospective, observational perioperative lung symptom study cohort (CN-PRO-Lung 3) in the Department of Thoracic Surgery at Sichuan Cancer Hospital between April 7, 2021, and January 31, 2024, were selected as the survey subjects. A survey was conducted using the Investigation of Exercise Behavior after Lung Surgery questionnaire and the International Physical Activity Questionnaire-Short Form (IPAQ-SF) among patients who underwent lung surgery. Binary logistic regression was used to analyze the factors influencing patients’ engagement in MVPA. Results A total of 702 patients were surveyed, including 252 males and 450 females, with an average age of (52.4±10.2) years. Patients with lung cancer accounted for 85.9%. Only 36.0% of the patients had regular exercise habits, while 42.3% did not engage in any physical activity. The three main barriers for postoperative exercise were physical discomfort (pain, coughing, shortness of breath, etc, 54.7%), lack of professional guidance (41.7%), and concerns about the surgical wound (28.9%). The proportions of patients engaging in vigorous, moderate, and low-intensity physical activity were 5.7%, 28.2%, and 66.1%, respectively. Multivariate analysis showed that patients with a personal annual income ≥50000 yuan (OR=1.52, 95%CI 1.01-2.29, P=0.044), high school education or above (OR=1.92, 95%CI 1.33-2.76, P<0.001), and lobectomy (OR=1.44, 95%CI 1.02-2.03, P=0.037) engaged in more MVPA. Conclusion Patients undergoing lung surgery have inadequate physical activity after discharge, particularly lacking in MVPA. Patients with higher income, higher educational levels, and lobectomy are more frequently engaged in MVPA. Measures such as symptom control, providing exercise guidance, and enhancing education on wound care may potentially improve the inadequate physical activity in lung surgery patients after discharge.

According to traditional Chinese medicine （TCM） theory， impaired spleen transportation function disrupts nutrient distribution， causing metabolic accumulation of lipids that transform into pathogenic phlegm-dampness. These pathological factors disseminate through the San Jiao and obstruct meridian pathways， ultimately forming the pathogenesis described as "all disorders involve phlegm". Phlegm and dampness share common pathogenic origins but manifest distinct clinical manifestations. Dampness， as the precursor， may congeal into phlegm， while existing phlegm accumulation can further exacerbate dampness stagnation， thereby establishing a self-perpetuating pathological cycle. Modern medical research has confirmed that the essence of "phlegm-dampness" syndrome is closely associated with energy metabolism disorders， serving as a common pathological basis for metabolic syndrome， type 2 diabetes mellitus， atherosclerosis， and other major chronic diseases. As a crucial vehicle for medical experimental research， disease-syndrome combination animal models serve as an indispensable means to advance the modernization of TCM. Currently， based on classical theories such as "rich and greasy foods produce phlegm" and "physical coldness combined with cold consumption causes external pathogens to invade the skin and hair， thereby generating internal dampness"， researchers primarily employ two paradigms to construct animal models of phlegm-turbidity， dampness obstruction， and phlegm-dampness syndromes： the first involves simulating TCM etiological factors （through methods like dietary irregularities， imblanace between work and rest， and combined internal-external dampness exposure）， while the second combines disease with syndrome differentiation （inducing pathological changes through physical， chemical， or biological interventions）. Through comprehensive evaluation incorporating macroscopic observation and microscopic index detection， model animals undergo systematic biological and pathological assessment， with further syndrome type verification achieved via the "prescription-based syndrome detection" approach. However， existing models still exhibit significant deficiencies in both the standardization of modeling methodologies and the systematization of evaluation criteria. This paper reviews the strategies for constructing "phlegm-dampness" syndrome animal models and their corresponding evaluation indices， focusing on the pathological correlations among different modeling approaches. The aim is to provide methodological guidance for research on TCM syndromes related to "phlegm-dampness" syndrome and to support the development of TCM therapies for resolving phlegm and eliminating dampness. This study not only contributes to advancing the standardization of TCM syndrome research but also provides crucial technical support for the modernization of TCM.

OBJECTIVE To investigate the mechanism by which Shenfukang capsule （SFK） ameliorates renal interstitial fibrosis （RIF） by regulating macrophage-fibroblast crosstalk via the signal transducer and activator of transcription 3 （STAT3）/Yes-associated protein （YAP） pathway. METHODS RAW264.7 macrophages were induced to polarize with transforming growth factor-β 1 （TGF-β 1 ）. Subsequently， a non-contact co-culture system of macrophages with renal fibroblasts NRK-49F， as well as a non-contact co-culture system of macrophages with YAP-knockdown renal fibroblasts， were established. Cells were treated with low， medium， and high concentrations （4， 8， 16 μg/mL） of SFK， as well as a STAT3 inhibitor （STAT3-I，1.64 μg/mL） and losartan potassium tablets （positive control， 0.28 μg/mL）， for 48 h. After intervention， the protein and mRNA expression levels of CD86， CD163， and STAT3 in macrophages， as well as CD86， F4/80， and STAT3 mRNA， were detected. In co-cultured renal fibroblasts， the protein and mRNA expression levels of α -smooth muscle actin （ α -SMA）， Vimentin， collagen type Ⅰ （Col-Ⅰ）， matrix metalloproteinase-1 （MMP-1）， and YAP were detected. In co-cultured YAP-knockdown renal fibroblasts， the protein and mRNA expression levels of α -SMA， Vimentin， and MMP-1 were also detected. RESULTS Following TGF-β 1 induction， the protein expression levels of CD86， CD163， and STAT3， as well as the mRNA expression levels of CD86， F4/80， and STAT3 in macrophages were significantly increased （ P ＜0.05）. The conditioned medium from polarized macrophages activated renal fibroblasts， as evidenced by significantly increased protein and mRNA expression levels of α -SMA， Vimentin， Col-Ⅰ， and YAP， and significantly decreased protein and mRNA expression levels of MMP-1 in renal fibroblasts （ P ＜0.05）. Treatment with SFK and STAT3-I reversed the changes in the above indicators， with the medium concentration SFK group showing stronge r effects on some indicators than the low and high concentration groups. In the non-contact co-culture experiment of macrophages and YAP-knockdown renal fibroblasts， there were no statistically significant differences in the protein and mRNA expression of α-SMA， Vimentin， and MMP-1 among the groups. CONCLUSIONS SFK can inhibit macrophage-renal fibroblast crosstalk by blocking the STAT3/YAP pathway， thereby delaying the progression of RIF.

Objective To investigate how interference from motor and cognitive tasks affects the postural stability of older adults during stair descent.Methods A total of 52 elderly subjects were recruited.Using the Vicon infrared motion capture system and Kistler force plate,the kinematic and dynamic data were collected simultaneously during stair descent under three conditions:single task(ST),motor task(MT),and cognitive task(CT).The body stability during stair descent was assessed quantitatively using the margin of stability(MoS)algorithm.Repeated measures ANOVA was applied to compare differences across conditions.Results Compared to the ST condition,both step speed(P<0.001)and step frequency(P<0.001)were significantly reduced under MT and CT conditions.Step length(P=0.037)was also significantly reduced under the CT condition compared to those under the ST condition.In the aspect of anterior-posterior dynamic stability,compared to the ST condition,centroid velocity(P<0.001)and extrapolated centroid position(P<0.001)were significantly increased,while MoS(P<0.001)was significantly decreased under both MT and CT conditions.In comparison to the CT condition,centroid displacement(P=0.011)and velocity(P=0.014),as well as extrapolated centroid position(P<0.001),were significantly greater those under the MT condition.In the aspect of medial-lateral dynamic stability,compared to the ST condition,centroid displacement(P<0.001)was significantly reduced under MT and CT conditions.Additionally,the extrapolated centroid position(P=0.001)was significantly reduced,and MoS(P=0.038)was significantly increased under the MT condition compared to those under the ST condition.Conclusions Older adults adjust their gait in response to dual-task interference during stairs descent by'slowing down step speed,reducing step frequency,and shortening step length'.This adjustment helps maintain medial-lateral dynamic stability,but significantly decreases anterior-posterior dynamic stability,thereby increasing the risk of falls.

Purpose To develop and validate a radiomics-clinical model that could accurately predict the recurrence of hepatocellular carcinoma(HCC)after undergoing tumor resection.Materials and Methods A total of 311 HCC patients underwent tumor resection in the Affiliated Hospital of North Sichuan Medical College from January 2015 to June 2022 were retrospectively collected,and they were randomly divided into a training cohort(n=217)and a validation cohort(n=94)in the ratio of 7∶3.Tumor and peritumoral 5 mm regions of interest were outlined on arterial and portal venous phase images and radiomics features were extracted to establish an arterio-portal radiomics model.Independent clinical risk factors associated with postoperative recurrence were explored by univariate and multivariate Cox analysis,then clinical model was established.A combined radiomics-clinical model was established by combining clinical independent risk factors and radiomics features.The area under the curve,specificity,sensitivity,net reclassification improvement and integrated discrimination improvement were used to assess the discrimination of all models.The calibration curve assessed the calibration of the model and decision curve analysis assessed the clinical utility of the model.Validation was performed by validation cohort data.Results The Rad-A5V5-clinical model had the best predictive performance for postoperative recurrence of HCC,the area under the curve,specificity and sensitivity of the validation cohort were 0.743(95%CI 0.640-0.846),0.647 and 0.717,respectively.The results of net reclassification improvement and integrated discrimination improvement showed that compared with clinical model and radiomics model,the prediction ability of Rad-A5V5-clinical model was improved the best one.The calibration curves showed that the predicted values of the Rad-A5V5-clinical model conformed the most favorably to the true values.The results of the decision curve analysis curve analyses showed that,among all models,the Rad-A5V5-clinical model would obtain the largest net benefit within a certain threshold range.Conclusion The predictive efficacy for post-tumor resection recurrence in HCC is significantly improved by incorporating tumor-peritumor radiomics features along with clinically independent risk factors.This finding offers a crucial reference point for identifying at-risk patients and tailoring individualized treatment plans.

Objectives:We evaluated the clinical significance of unipolar electrogram and bipolar electrogram in guiding radiofrequency ablation for outflow tract ventricular premature contractions(PVC).Methods:Data were collected from 78 patients who underwent successful radiofrequency ablation of PVC.Pre-procedure electrocardiogram showed a LBBB morphology on inferior leads.In the included patients,the right-side ablation was performed at first,and if the ablation failed,the left-side ablation was then performed.According to the location of the successful ablation target,they were divided into unilateral ablation successful group and bilateral ablation successful group.The differences in the earliest bipolar local activation to QRS(LATBi),unipolar-dV/dTmax to QRS(LATUni),and local activation time were compared between the two groups.Furthermore,the electrogram characteristics predicting bilateral ablation were explored.Results:Patients were divided into unilateral ablation group(n=57)and bilateral ablation group(n=21)according to the ablation site.There were statistically significant differences in LATBi(25[21,30]ms vs.14[10,24]ms),LATUni(7[0,17]ms vs.-23[-41,-11]ms),and ΔLATBi-Uni(15[11,25]ms vs.44[25,56]ms)between the unilateral ablation group and the bilateral ablation group(all P<0.05).Multivariate regression analysis suggested that LATBi,LATUni,and ΔLATBi-Uni were independent predictors of the need for bilateral ablation.There was no significant difference between left and right LATBi,LATUni and ΔLATBi-Uni in the bilateral ablation group.LATUni≤-1 was the most accurate parameter for predicting the need for bilateral ablation(AUC=0.941;specificity 80.7%;sensitivity 100%).Conclusions:LATUni≤-1ms is a useful indicator for predicting the need for bilateral PVC ablation in this patient cohort.

Purpose To develop a nomogram based on contrast-enhanced CT and habitat analysis for predicting early recurrence after thermal ablation in hepatocellular carcinoma,enabling risk stratification and personalized patient management.Materials and Methods This retrospective study included 107 patients with hepatocellular carcinoma treated with thermal ablation from Affiliated Hospital of North Sichuan Medical College and Nanchong Central Hospital from January 2016 to March 2022.Tumor lesions were manually segmented on preoperative contrast-enhanced CT images.Habitat encoding was performed on volumes of interest using K-means clustering.Radiomic features were extracted from each phase and habitat subregion.Machine learning algorithms were used to construct phase-specific models,with performance compared to select the optimal model.A combined model integrating optimal radiomic features and independent clinical risk factors was developed and evaluated.Results The Adaboost algorithm yielded the optimal model for the arterial phase,Naive Bayes for the venous phase,and MLP for the combined arterial-venous phase.The combined model demonstrated superior performance,achieving concordance indices of 0.711(training cohort)and 0.709(validation cohort)for predicting early recurrence.Significant differences in recurrence-free survival were observed between high-risk group and low-risk group(log-rank P<0.05).Conclusion Habitat imaging derived from contrast-enhanced CT effectively and noninvasively assesses recurrence-free survival after thermal ablation for hepatocellular carcinoma,demonstrating potential for guiding clinical treatment and decision-making.

ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi， so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） combined with Smart aroma database and National Institute of Standards and Technology（NIST） database were used to characterize the aroma components in different parts of N. jatamansi， and the aroma components were quantified according to relative response factor（RRF） and three internal standards， and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis（OPLS-DA） and cluster thermal analysis based on variable importance in the projection（VIP） value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose， and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data， and the rapid identification model of different parts of N. jatamansi was established by principal component analysis（PCA）， discriminant factor alysis（DFA）， soft independent modeling of class analogies（SIMCA） and statistical quality control analysis（SQCA）. ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi， of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components， the contents of five components（ethyl isovalerate， 2-pentylfuran， benzyl alcohol， nonanal and glacial acetic acid，） in the aboveground part of N. jatamansi were significantly higher than those in the underground part（P<0.01）， the contents of β-ionone， patchouli alcohol， α-caryophyllene， linalyl butyrate， valencene， 1，8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part（P<0.01）. Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82， and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted， respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%， the validation score of the SIMCA model for discrimination of the two parts was 99， and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose（PCA， DFA， SIMCA and SQCA） can realize the rapid identification of different parts of N. jatamansi. Combining the two results， it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.