Huanglian Jiedutang （HLJDT）， as a classical formula for clearing heat and removing toxins， has been widely applied in the treatment of various clinical diseases in recent years， particularly during the fire-heat stage of stroke， where it has attracted considerable attention. Based on previous studies， this paper systematically elaborates on the research progress on the active components of HLJDT， its clinical application in ischemic stroke， and advances in studies on its mechanisms of action. Modern pharmacological studies have demonstrated that HLJDT contains multiple active components， including baicalin， geniposide， and berberine. In the treatment of ischemic stroke， these components exert therapeutic effects through multi-target， multi-pathway， and multi-level mechanisms. Clinical studies have shown that HLJDT can increase cerebral blood flow， reduce cerebral infarct volume， and improve post-stroke physical dysfunction in patients with ischemic stroke. Experimental studies have indicated that HLJDT can improve neurological function scores and increase cerebral perfusion in experimental stroke models. In addition， the mechanisms underlying the anti-ischemic stroke effects of HLJDT may be related to anti-inflammatory and antioxidant activities， promotion of angiogenesis， and regulation of amino acid and energy metabolism. Although existing studies have confirmed that HLJDT exhibits multi-target and multi-pathway synergistic therapeutic characteristics， further large-sample randomized controlled trials are still needed to verify its long-term efficacy and to further elucidate the dynamic interaction network among components， targets， and pathways. Combined with network pharmacology and molecular docking analyses， this study further clarifies the synergistic targets of the core components （berberine， baicalin， and geniposide）， providing a theoretical basis for in-depth research and clinical translation of HLJDT in the treatment of ischemic stroke.

Objective:To investigate the effects of thioredoxin reductase 1 (TXNRD1) on ferroptosis and immune function of dendritic cells (DCs) in septic mice, and to provide a basis for improving the immunosuppression in sepsis caused by wound infection.Methods:This study was an experimental research. Sixty male C57BL/6J mice aged 6-8 weeks were subjected to cecal ligation and puncture (CLP) to establish sepsis models. Ten mice were selected at 0 (immediately), 6, 12, 24, 48, and 72 h after CLP surgery, respectively, according to the random number table method. Mouse splenic DCs were isolated using CD11c-positive magnetic beads. The protein expressions of TXNRD1, and anti-ferroptosis proteins solute carrier family 7 member 11 (SLC7A11), and glutathione peroxidase 4 (GPX4) in the cells were detected by Western blotting, the reduced glutathione (GSH) content in the cells was measured by colorimetric assay, the lipid peroxidation level was assessed via live-cell imaging technology, and the levels of major histocompatibility complex class Ⅱ subtype I-A/I-E and leukocyte differentiation antigens CD80 and CD86 were detected by flow cytometry. Another 100 male C57BL/6J mice aged 6-8 weeks were divided into corn oil+sham injury group, corn oil+CLP group, inhibitor+sham injury group, and inhibitor+CLP group according to the random number table method, with 25 mice in each group. Mice in the two inhibitor groups were intraperitoneally injected with TXNRD1 inhibitor auranofin, while mice in the two corn oil groups were intraperitoneally injected with corn oil. One hour later, mice in the two CLP groups underwent CLP surgery to establish sepsis models, while mice in the two sham injury groups underwent sham surgery. Twenty mice from each group were selected to observe survival within 7 d post-surgery, and the survival rate was calculated. At 24 h post-surgery, mouse splenic DCs from the remaining 5 mice in each group were collected for corresponding assays as above.Results:Compared with those at 0 h after CLP surgery, the protein expressions of TXNRD1, GPX4, and SLC7A11 in mouse cells at 24 h after CLP surgery and the protein expression of TXNRD1 in mouse cells at 48 h after CLP surgery were significantly decreased ( P<0.05), the GSH content in mouse cells was significantly decreased at 24 and 48 h after CLP surgery ( P<0.05). The lipid peroxidation level in mouse cells was low at 0, 6, and 12 h after CLP surgery, slightly lower than that at 72 h after CLP surgery; the lipid peroxidation levels in mouse cells at 24 and 48 h after CLP surgery were significantly higher than those at 0, 6, 12, and 72 h after CLP surgery. Compared with those at 0 h after CLP surgery, the levels of I-A/I-E and CD80 in mouse cells at 6, 12, 24, 48, and 72 h after CLP surgery and the levels of CD86 in mouse cells at 12, 24, and 48 h after CLP surgery were significantly increased ( P<0.05). At 24 h post-surgery, the protein expressions of TXNRD1, SLC7A11, and GPX4 in mouse cells in corn oil+CLP group were significantly lower than those in corn oil+sham injury group ( P<0.05), while the protein expressions of TXNRD1, SLC7A11, and GPX4 in mouse cells in inhibitor+CLP group were significantly lower than those in corn oil+CLP group and inhibitor+sham injury group ( P<0.05). At 24 h post-surgery, the content of GSH in mouse cells in corn oil+CLP group was (239±32) μg/mg, which was significantly lower than (366±59) μg/mg in corn oil +sham injury group ( P<0.05); the content of GSH in mouse cells in inhibitor+CLP group was (134±19) μg/mg, which was significantly lower than (355±31) μg/mg in inhibitor+sham injury group and that in corn oil+CLP group (with both P values <0.05). At 24 h post-surgery, the lipid peroxidation level of mouse cells in inhibitor+CLP group was significantly higher than that in the other three groups ( P<0.05). At 24 h post-surgery, the levels of I-A/I-E, CD80, and CD86 in mouse cells in corn oil+CLP group were significantly higher than those in corn oil+sham injury group ( P<0.05), while the levels of I-A/I-E and CD80 in mouse cells in inhibitor+CLP group were significantly higher than those in inhibitor+sham injury group ( P<0.05) but significantly lower than those in corn oil+CLP group ( P<0.05); the level of CD86 in mouse cells in inhibitor+sham injury group was significantly higher than that in corn oil+sham injury group ( P<0.05). Within 7 d post-surgery, the survival rate of mice in inhibitor+CLP group was significantly lower than that in inhibitor+sham injury group and corn oil+CLP group (with χ2 values of 31.19 and 3.91, respectively, both P values <0.05). Conclusions:In septic mice, the expression of TXNRD1 in DCs is reduced, cell ferroptosis is enhanced, and immune function is weakened. The inhibition of TXNRD1 in DCs will exacerbate cell ferroptosis and immune function suppression, and is closely related to the poor prognosis of sepsis.

Frailty is a complex aging syndrome characterized by diminished strength and physiological dysfunction.Early diagnosis of frailty is of great value in helping the elderly to improve the quality of life.However,specific bio-logical markers to diagnose frailty are still lacking.In recent years,moderate protein intake has been shown to be an effective intervention in the management of frailty in older adults,and the relationship between frailty and amino acid metabolism has received widespread attention.This review discusses recent advances in the study of the mecha-nisms by which amino acid metabolism affects frailty and provide new ideas for searching specific biomarkers of frailty.

Objective To evaluate the effectiveness of implementing precise management for Da Vinci robotic surgical consumables under the Diagnosis Related Group(DRG)payment system.Methods This retrospective case-control study ana-lyzed 200 patients undergoing Da Vinci robotic lung resection surgery in a tertiary hospital:100 cases from May to June 2022 as the control group,and 100 cases from May to June 2023 with implemented precision management as the observation group.The control group did not implement the payment according to DRG,while the observers implemented payment according to DRG and optimized refined management of Da Vinci robotic surgical consumables.Hospitalization duration,intraoperative costs,and utili-zation of high-value consumables were compared between the two groups.Results No statistically significant differences(P＞0.05)were observed between the two groups in terms of gender,age,medical insurance status,operative time,or intraoperative blood loss.The observation group exhibited a significantly shorter hospitalization duration(8.29±4.13 vs.10.47±4.57 days;P＜0.05),and higher surgical costs[(11 366.81±2 504.23)RMB vs.(8 716.07.78±256.34)RMB,P＜0.05]compared with the control group.Conclusion DRG-oriented precision management optimizes resource utilization through shortened hospi-talization time and rationalizes cost allocation,and sustainable consumable consumption patterns,demonstrating effective balance between clinical quality and economic efficiency under healthcare payment reforms.

Objective To investigate the protective effect and mechanism of schisandrin A(SA)on hydrogen peroxide(H2O2)-induced oxidative stress injury in renal tubular epithelial cells(HK-2).Methods HK-2 cells were cultured in vitro and divided into five groups:blank control group,model control group(treated with 600 μmol·L-1 H2O2 for 2 h),low-dose SA group(0.125 μmol·L-1 SA,24 h pretreatment+H2O2),medium-dose SA group(0.5 μmol·L-1 SA,24 h pretreatment+H2 O2),high-dose SA group(0.75 μmol·L-1 SA,24 h pretreatment+H2O2).The cell survival was assessed by CCK-8 assay;apoptosis level was tested by Annexin V-FITC/PI double staining;cell cycle distribution was detected by propidium iodide staining;oxidative markers(ROS,SOD,MDA,GSH,LDH)was determined with commercial kits;and apoptosis-related proteins(Bax,Bcl-2,Caspase-3,Cytochrome C)was evaluated by Western blot.Results Compared with the blank control,the model group reduced in cell viability and increased in apoptosis(P＜0.01),elevated in the ratio of G0/G1-phase cells and decreased in S-phase cells(P＜0.05),decreased in SOD activity and GSH content(P＜0.01),and increased in the levels of ROS,LDH,and MDA levels(P＜0.01).In all SA dose,cell apoptosis reduced(P＜0.01).In medium/high dose groups,the G0/G1-phase arrest reduced(P＜0.05).In high dose group,the S-phase cells ratio increased(P＜0.05).And in medium/high dose groups,ROS(P＜0.01)decreased in a dose-dependent manner.The SOD activity increased non-significantly in all SA groups.In SA medium/high dose groups,the LDH activity decreased in a dose-dependent manner.In all SA groups,GSH increased(P＜0.01)and MDA decreased,both in a dose-dependent manner.The Bax/Bcl-2 ratio significantly decreased(P＜0.05)in all SA groups.The caspase-3 activity decreased in medium/high dose group(P＜0.05);and Cytochrome C reduced in all SA groups(P＜0.05).Conclusion SA protects HK-2 cells against H2O2-induced oxidative injury by modulating oxidative stress,inhibiting apoptosis,and ameliorating cell cycle arrest.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

Objective:To understand the current situation of the ability to screen health information of the elderly in rural areas and analyze its influencing factors, so as to provide a basis for taking targeted measures.Methods:A cross-sectional survey was adopted, and rural elderly people in Yonghe Town, Dahu Town and Dayao Town of Liuyang City, Hunan Province were selected as the survey subjects by the convenience sampling method. The investigation was conducted using the general information Questionnaire, the Health Information Discrimination Ability Scale, the filial Piety Expectation Scale and the two-way Social Support Scale.Results:A total of 228 questionnaires were distributed, and 215 valid questionnaires were retrieved, with an effective recovery rate of 94.30%. Among the 215 rural elderly people surveyed, 86 were male and 129 were female. The ability to discriminate health information was (69.19 ± 13.41) points, the expectation of filial piety was (37.67 ± 6.12) points, and the two-way social support was (46.82 ± 8.11) points. The ability of rural elderly people to discriminate health information was positively correlated with filial piety expectations and two-way social support ( r = 0.340, 0.456; both P<0.01). The results of hierarchical regression analysis showed that educational level, filial piety expectations and two-way social support were the influencing factors of the current status of health information discrimination ability of rural elderly people ( t values were 2.60 to 5.35, all P<0.05). Conclusions:The ability of discriminating health information of the elderly in rural areas is affected by the educational level, filial piety expectation and two-way social support. The health information of rural elderly people with low education level should be screened and targeted, so as to enrich their cultural life and combine education with fun. Actively build a filial piety culture to promote children′s attention to their parents. In addition to providing social support for the elderly, we should promote their interpersonal and social communication and exert their self-value, so as to improve the health information screening ability of the elderly in rural areas.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

Objective To evaluate the effectiveness of implementing precise management for Da Vinci robotic surgical consumables under the Diagnosis Related Group(DRG)payment system.Methods This retrospective case-control study ana-lyzed 200 patients undergoing Da Vinci robotic lung resection surgery in a tertiary hospital:100 cases from May to June 2022 as the control group,and 100 cases from May to June 2023 with implemented precision management as the observation group.The control group did not implement the payment according to DRG,while the observers implemented payment according to DRG and optimized refined management of Da Vinci robotic surgical consumables.Hospitalization duration,intraoperative costs,and utili-zation of high-value consumables were compared between the two groups.Results No statistically significant differences(P＞0.05)were observed between the two groups in terms of gender,age,medical insurance status,operative time,or intraoperative blood loss.The observation group exhibited a significantly shorter hospitalization duration(8.29±4.13 vs.10.47±4.57 days;P＜0.05),and higher surgical costs[(11 366.81±2 504.23)RMB vs.(8 716.07.78±256.34)RMB,P＜0.05]compared with the control group.Conclusion DRG-oriented precision management optimizes resource utilization through shortened hospi-talization time and rationalizes cost allocation,and sustainable consumable consumption patterns,demonstrating effective balance between clinical quality and economic efficiency under healthcare payment reforms.