In recent years, remarkable advances have been made in lung transplantation regarding donor evaluation, perioperative support, and immune regulation, laying a foundation for improving the long-term survival of recipients. The rational application of extended criteria donor lungs and the popularization of ex vivo lung perfusion technology have enhanced the utilization efficiency and safety of marginal donor lungs. Refined assessment of risk factors such as donors’ smoking history and infectious status has reduced the incidence of primary graft dysfunction and postoperative infection. In terms of recipient management, individualized assessment systems have been gradually optimized. The standardized application of intraoperative extracorporeal membrane oxygenation and the development of minimally invasive surgical techniques have effectively alleviated perioperative injuries. The optimization of postoperative immunosuppressive regimens and advances in rejection monitoring technologies have further improved the long-term survival of grafts. Nevertheless, chronic graft dysfunction and recurrent or refractory infections remain the major bottlenecks restricting long-term prognosis. Future research should focus on expanding donor sources, improving the repair quality of marginal donor lungs, promoting precise immunosuppression and anti-infection strategies, and comprehensively enhancing the long-term survival rate and quality of life of lung transplant recipients.

Objective:To construct a set of evaluation indicator system of self-health management ability for elderly with multiple chronic conditions.Methods:Indicators were initially screened through literature retrieval to form the framework of evaluation system.The Delphi method was used to conduct two rounds of consultation with 15 experts in relevant fields, and the indicators were optimized by integrating the importance and accessibility scores of indicators as well as expert opinions.SPSS 26.0 software was used to statistically analyze the results of expert consultation, and the effectiveness of the consultation was evaluated by expert positive coefficient, authority coefficient and coordination coefficient.Yaahp 12.0 software was used to construct the hierarchical structure model, and conduct pairwise comparisons of indicators at the same level to form a judgment matrix according to the Saaty 1-9 scaling method. After consistency test, the product method was applied to aggregate and determine the weights of indicators at all levels.Results:The positive coefficients of the two rounds of expert consultation were both 100%, and the expert authority coefficients were 0.825 and 0.856.In the two rounds of assessment, the ICC of importance and accessibility scores of level 2 and level 3 indicators were higher than 0.90 ( P<0.05). Following screening and revision through two rounds of expert consultation, an evaluation indicators system of self-health management ability of elderly with multiple chronic conditions was formed, including 5 first-level indicators, 18 second-level indicators and 40 third-level indicators.The weights of 5 first-level indicators determined by the hierarchical analysis method were as follows: disease management(0.203), lifestyle (0.205), psychological adjustment (0.203), social support(0.200), and self-ability evaluation(0.189). Conclusion:The evaluation indicator system of self-health management ability of elderly with multiple chronic conditions has high reliability and scientificity, and its practical utility will be further examined.

Bilirubin,as a major endogenous substance in the human body,plays anti-inflammatory,antioxidant,and cytoprotective roles within physiological ranges,serving a critical function in maintaining metabolic balance of endogenous substances.Bilirubin metabolism is a complex physiological process regulated by multiple factors,relying on UGT1A1 enzyme catalysis and transporter protein modulation to sustain substance homeostasis.Based on the theory of traditional Chinese medicine(TCM)channel tropism and the principle of visceral syndrome differentiation,liver-channel-tropic herbs can guide medications to specific viscera and meridians,exerting targeted therapeutic effects.These herbs regulate bilirubin metabolic disorders through multi-target mechanisms,including upregulating UGT1A1 enzyme activity to promote bilirubin conjugation,modulating MRP2/OATP expression to enhance bilirubin transport,attenuating oxidative stress to reduce hepatocyte damage,inhibiting inflammatory cytokines to restore metabolic enzyme activity,activating CAR signaling pathways to regulate bile acid homeostasis.This review summarizes the mechanisms by which TCM regulates bilirubin metabolism,focuses on the role of liver meridian-targeting TCM to provide a basis for its rational clinical use,and studies the effects of liver meridian-targeting TCM on bilirubin metabolism from its core mechanisms to guide its rational use and provide new ideas for the research and development of traditional Chinese medicine.This review summarizes the mechanisms by which TCM regulates bilirubin metabolism,focusing on the actions of herbs that enter the liver meridian.Starting from the core mechanisms,it explores how liver meridian-entering herbs significantly impact bilirubin metabolism.Some of these herbs demonstrate dual-directional regulatory effects on bilirubin metabolism.This understanding guides their rational clinical use,provides novel ideas for TCM research and development,and promotes the modernization of TCM studies.

Following the evidence-based diagnosis and treatment guideline development method for common pediatric diseases,the The Guideline for the Diagnosis and Treatment of Pediatric Food Accumulation and Stagnation in Chinese Medicine was formed through literature retrieval,expert questionnaire survey,expert discussion meeting,and solicitation of opinions.The revised content includes the scope of the guideline,normative reference documents,terms and definitions,diagnosis,syndrome differentiation,treatment,pre-vention and nursing suggestions,etc.,aiming to update the clinical diagnosis and treatment plan of Chinese medicine for accumulation and provide important clinical decision-making references for clinical physicians to rationally apply the diagnosis and treatment plan of Chinese medicine in the prevention and treatment of accumulation and stagnation in Children.

Objective:To construct a set of evaluation indicator system of self-health management ability for elderly with multiple chronic conditions.Methods:Indicators were initially screened through literature retrieval to form the framework of evaluation system.The Delphi method was used to conduct two rounds of consultation with 15 experts in relevant fields, and the indicators were optimized by integrating the importance and accessibility scores of indicators as well as expert opinions.SPSS 26.0 software was used to statistically analyze the results of expert consultation, and the effectiveness of the consultation was evaluated by expert positive coefficient, authority coefficient and coordination coefficient.Yaahp 12.0 software was used to construct the hierarchical structure model, and conduct pairwise comparisons of indicators at the same level to form a judgment matrix according to the Saaty 1-9 scaling method. After consistency test, the product method was applied to aggregate and determine the weights of indicators at all levels.Results:The positive coefficients of the two rounds of expert consultation were both 100%, and the expert authority coefficients were 0.825 and 0.856.In the two rounds of assessment, the ICC of importance and accessibility scores of level 2 and level 3 indicators were higher than 0.90 ( P<0.05). Following screening and revision through two rounds of expert consultation, an evaluation indicators system of self-health management ability of elderly with multiple chronic conditions was formed, including 5 first-level indicators, 18 second-level indicators and 40 third-level indicators.The weights of 5 first-level indicators determined by the hierarchical analysis method were as follows: disease management(0.203), lifestyle (0.205), psychological adjustment (0.203), social support(0.200), and self-ability evaluation(0.189). Conclusion:The evaluation indicator system of self-health management ability of elderly with multiple chronic conditions has high reliability and scientificity, and its practical utility will be further examined.

Objective:To investigate the effects of moxibustion,filiform needle acupuncture,and electroacupuncture on synovial hypoxia and expression of synovial fibrosis markers[transforming growth factor(TGF)-β and collagen alpha-1(Ⅰ)chain(COL1A1)]in knee osteoarthritis(KOA)rats.Methods:Fifty Sprague-Dawley rats were randomly divided into a normal group,a model group,a moxibustion group,an acupuncture group,and an electroacupuncture group,with 10 rats in each group.Except for the normal group,rats in the other four groups were injected with sodium iodoacetate into the right knee joint cavity to establish KOA models.The right Futu(ST32)and Zusanli(ST36)were selected in the moxibustion,acupuncture,and electroacupuncture groups to perform the mild moxibustion with moxa sticks,filiform needle acupuncture,or electroacupuncture,respectively.Each intervention lasted 15 min,once every other day,and continued for 4 weeks,with a total of 14 interventions.The Lequesne score was used to evaluate the degree of knee dysfunction before and after intervention,and the rat's right knee joint diameter was measured to evaluate the degree of knee swelling.Morphological changes of the right knee joint synovial tissue were observed using hematoxylin-eosin staining.Hypoxia probe immunofluorescence staining was used to observe the degree of synovial hypoxia in rats.Western blotting was used to detect the protein expression levels of hypoxia-inducible factor(HIF)-1α,TGF-β,and COL1A1 in the synovial tissue of the right knee joints.Results:Before intervention,the Lequesne score and the right knee joint diameter in the other four groups increased significantly compared to the normal group(P<0.01).After intervention,the Lequesne score and the right knee joint diameter increased significantly in the model group compared to the normal group(P<0.01)together with worsened cartilage deformation and osteophytes,inflammatory cell infiltration and fibrosis in synovial tissue,and hypoxia degree,and the expression levels of HIF-1α,TGF-β,and COL1A1 proteins in the knee joint synovial tissue of rats increased(P<0.01).The Lequesne score and the right knee joint diameter decreased significantly(P<0.01 or P<0.05),the cartilage morphology was normal without obvious osteophytes,and the hypoxia degree reduced in the three intervention groups compared to the model group.Among them,the moxibustion group had the most notable improvement in hypoxia,synovial tissue fibrosis,angiogenesis,and inflammatory cell infiltration.The expression levels of HIF-1α,TGF-β,and COL1A1 proteins decreased in the moxibustion and electroacupuncture groups(P<0.01),and the expression levels of HIF-1α and TGF-β proteins were decreased in the acupuncture group(P<0.01).Conclusion:Moxibustion,filiform needle acupuncture,and electroacupuncture improve knee joint function and reduce knee joint swelling in KOA rats.The mechanism may be to improve synovial fibrosis of the knee joint by regulating HIF-1α;moxibustion has the best effect on improving hypoxia among the three interventions,but the effect of filiform needle acupuncture on COL1A1 is not significant.

Lung transplantation is an important means to treat end-stage lung disease and improve the survival rate and quality of life of patients. However, many postoperative complications seriously affect the prognosis of recipients. Accurate identification of key prognostic factors and construction of individualized and accurate prediction models are of great significance for postoperative prognosis evaluation, treatment strategy formulation and clinical decision-making. In recent years, the clinical prediction model of lung transplantation has gradually changed from traditional statistical methods to machine learning-driven. Compared with traditional models such as Cox regression and Logistic regression, machine learning models such as random forest, support vector machine and artificial neural network have certain advantages in postoperative survival rate prediction, early warning of complications and pulmonary function evaluation. However, their application is also affected by insufficient sample size and poor interpretability of models. Under the condition of small samples, the traditional model still has important value in prediction accuracy. The appropriate prediction model should be selected according to the clinical status of lung transplantation in China, considering the factors such as sample size, variable complexity and model interpretability. In the future, a multi-center, large-sample lung transplantation database should be constructed to further optimize and tap the potential of machine learning algorithms to improve the robustness and clinical applicability of the model.

Bilirubin,as a major endogenous substance in the human body,plays anti-inflammatory,antioxidant,and cytoprotective roles within physiological ranges,serving a critical function in maintaining metabolic balance of endogenous substances.Bilirubin metabolism is a complex physiological process regulated by multiple factors,relying on UGT1A1 enzyme catalysis and transporter protein modulation to sustain substance homeostasis.Based on the theory of traditional Chinese medicine(TCM)channel tropism and the principle of visceral syndrome differentiation,liver-channel-tropic herbs can guide medications to specific viscera and meridians,exerting targeted therapeutic effects.These herbs regulate bilirubin metabolic disorders through multi-target mechanisms,including upregulating UGT1A1 enzyme activity to promote bilirubin conjugation,modulating MRP2/OATP expression to enhance bilirubin transport,attenuating oxidative stress to reduce hepatocyte damage,inhibiting inflammatory cytokines to restore metabolic enzyme activity,activating CAR signaling pathways to regulate bile acid homeostasis.This review summarizes the mechanisms by which TCM regulates bilirubin metabolism,focuses on the role of liver meridian-targeting TCM to provide a basis for its rational clinical use,and studies the effects of liver meridian-targeting TCM on bilirubin metabolism from its core mechanisms to guide its rational use and provide new ideas for the research and development of traditional Chinese medicine.This review summarizes the mechanisms by which TCM regulates bilirubin metabolism,focusing on the actions of herbs that enter the liver meridian.Starting from the core mechanisms,it explores how liver meridian-entering herbs significantly impact bilirubin metabolism.Some of these herbs demonstrate dual-directional regulatory effects on bilirubin metabolism.This understanding guides their rational clinical use,provides novel ideas for TCM research and development,and promotes the modernization of TCM studies.

Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.

Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.