ObjectiveTo investigate the effects and underlying mechanisms of Shenqi Wenfei prescription （SQWF） on chronic obstructive pulmonary disease （COPD）. MethodsA rat model of COPD with lung Qi deficiency was established using lipopolysaccharide （LPS） combined with cigarette smoke. Forty-eight SD rats were randomly divided into a blank group， a model group， low-， medium-， and high-dose SQWF groups （2.835， 5.67， 11.34 g·kg^-1）， and a Yupingfeng group （1.35 g·kg^-1）. Drug administration began on day 29 after modeling and continued for 2 weeks. The general condition of the rats was observed， and the lung function in each group was assessed. Hematoxylin-eosin （HE） staining was used to observe pathological changes in lung tissue. The proportion of inflammatory cells in bronchoalveolar lavage fluid （BALF） was measured. Apoptosis in lung tissue was examined by terminal deoxynucleotidyl transferase-mediated dUTP nick end-labeling （TUNEL） staining. The release level of lactate dehydrogenase （LDH） in BALF was detected by a microplate assay. Reactive oxygen species （ROS） levels in lung tissue were detected using fluorescent probes. The levels of malondialdehyde （MDA）， total superoxide dismutase （SOD）， and reduced glutathione （GSH） in BALF were measured by biochemical methods. Ultrastructural changes in lung cells were observed via transmission electron microscopy. Double immunofluorescence staining was performed to detect the expression of thioredoxin-interacting protein （TXNIP） and nucleotide-binding oligomerization domain-like receptor protein 3 （NLRP3） in lung tissue. Western blot analysis was used to detect the protein expression of TXNIP， NLRP3， apoptosis-associated speck-like protein containing a CARD （ASC）， cysteinyl aspartate-specific protease-1 （Caspase-1）， Caspase-1 p20， gasdermin D （GSDMD）， GSDMD N-terminal active fragment （GSDMD-N）， interleukin-1β （IL-1β）， and IL-18 in lung tissue. Serum IL-1β and IL-18 levels were measured by ELISA. ResultsCompared with the blank group， the model group showed lassitude， fatigue， tachypnea， and audible phlegm sounds， and lung function significantly declined （P0.01）. Pulmonary emphysema and inflammatory cell infiltration were obvious. The level of inflammatory cells in BALF increased significantly （P0.05）. The number of TUNEL-positive cells increased （P0.01）. Levels of LDH， ROS， and MDA in BALF increased significantly （P0.01）， while GSH and SOD activities decreased significantly （P0.01）. Lung tissue cells showed irregular morphology， swollen mitochondria， disrupted cell membranes， and abundant vesicles， i.e.， pyroptotic bodies. Protein levels of TXNIP， NLRP3， ASC， Caspase-1， Caspase-1 p20， GSDMD， GSDMD-N， IL-1β， and IL-18 in lung tissue were significantly elevated （P0.01）， and serum IL-1β and IL-18 levels also increased significantly （P0.01）. Compared with the model group， each medication group showed alleviation of qi deficiency symptoms and improved lung function （P0.01）. Pulmonary emphysema and inflammatory cell infiltration were reduced. Inflammatory cell levels decreased （P0.05）. The number of TUNEL-positive cells decreased significantly （P0.01）. Levels of LDH， ROS， and MDA decreased significantly （P0.05）， while GSH and SOD activities significantly increased （P0.01）. Morphological and structural damage in lung tissue was improved to varying degrees. Protein levels of TXNIP， NLRP3， ASC， Caspase-1， Caspase-1 p20， GSDMD， GSDMD-N， IL-1β， and IL-18 in lung tissue significantly decreased （P0.01）， and serum IL-1β and IL-18 levels also decreased significantly （P0.05）. ConclusionSQWF can improve lung function and alleviate inflammatory responses in COPD rats. Its mechanism may be related to regulating the ROS/TXNIP/NLRP3 pathway and inhibiting pyroptosis.

ObjectiveTo investigate the effects and underlying mechanisms of Shenqi Wenfei prescription （SQWF） on chronic obstructive pulmonary disease （COPD）. MethodsA rat model of COPD with lung Qi deficiency was established using lipopolysaccharide （LPS） combined with cigarette smoke. Forty-eight SD rats were randomly divided into a blank group， a model group， low-， medium-， and high-dose SQWF groups （2.835， 5.67， 11.34 g·kg^-1）， and a Yupingfeng group （1.35 g·kg^-1）. Drug administration began on day 29 after modeling and continued for 2 weeks. The general condition of the rats was observed， and the lung function in each group was assessed. Hematoxylin-eosin （HE） staining was used to observe pathological changes in lung tissue. The proportion of inflammatory cells in bronchoalveolar lavage fluid （BALF） was measured. Apoptosis in lung tissue was examined by terminal deoxynucleotidyl transferase-mediated dUTP nick end-labeling （TUNEL） staining. The release level of lactate dehydrogenase （LDH） in BALF was detected by a microplate assay. Reactive oxygen species （ROS） levels in lung tissue were detected using fluorescent probes. The levels of malondialdehyde （MDA）， total superoxide dismutase （SOD）， and reduced glutathione （GSH） in BALF were measured by biochemical methods. Ultrastructural changes in lung cells were observed via transmission electron microscopy. Double immunofluorescence staining was performed to detect the expression of thioredoxin-interacting protein （TXNIP） and nucleotide-binding oligomerization domain-like receptor protein 3 （NLRP3） in lung tissue. Western blot analysis was used to detect the protein expression of TXNIP， NLRP3， apoptosis-associated speck-like protein containing a CARD （ASC）， cysteinyl aspartate-specific protease-1 （Caspase-1）， Caspase-1 p20， gasdermin D （GSDMD）， GSDMD N-terminal active fragment （GSDMD-N）， interleukin-1β （IL-1β）， and IL-18 in lung tissue. Serum IL-1β and IL-18 levels were measured by ELISA. ResultsCompared with the blank group， the model group showed lassitude， fatigue， tachypnea， and audible phlegm sounds， and lung function significantly declined （P0.01）. Pulmonary emphysema and inflammatory cell infiltration were obvious. The level of inflammatory cells in BALF increased significantly （P0.05）. The number of TUNEL-positive cells increased （P0.01）. Levels of LDH， ROS， and MDA in BALF increased significantly （P0.01）， while GSH and SOD activities decreased significantly （P0.01）. Lung tissue cells showed irregular morphology， swollen mitochondria， disrupted cell membranes， and abundant vesicles， i.e.， pyroptotic bodies. Protein levels of TXNIP， NLRP3， ASC， Caspase-1， Caspase-1 p20， GSDMD， GSDMD-N， IL-1β， and IL-18 in lung tissue were significantly elevated （P0.01）， and serum IL-1β and IL-18 levels also increased significantly （P0.01）. Compared with the model group， each medication group showed alleviation of qi deficiency symptoms and improved lung function （P0.01）. Pulmonary emphysema and inflammatory cell infiltration were reduced. Inflammatory cell levels decreased （P0.05）. The number of TUNEL-positive cells decreased significantly （P0.01）. Levels of LDH， ROS， and MDA decreased significantly （P0.05）， while GSH and SOD activities significantly increased （P0.01）. Morphological and structural damage in lung tissue was improved to varying degrees. Protein levels of TXNIP， NLRP3， ASC， Caspase-1， Caspase-1 p20， GSDMD， GSDMD-N， IL-1β， and IL-18 in lung tissue significantly decreased （P0.01）， and serum IL-1β and IL-18 levels also decreased significantly （P0.05）. ConclusionSQWF can improve lung function and alleviate inflammatory responses in COPD rats. Its mechanism may be related to regulating the ROS/TXNIP/NLRP3 pathway and inhibiting pyroptosis.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Objective:To explore the causal association between insulin-like growth factor-1(IGF-1)and colorectal cancer(CRC)based on two sample Mendelian randomization(MR)analysis.Methods:A bidirectional two sample MR analysis was conducted based on publicly aggregated data from the IEU OpenGWAS project.The inverse variance weighted(IVW)method was used as the main analysis model to assess the causal relationship between IGF-1 and CRC.Additional analyses were performed using weighted median(WM),MR-Egger regression,weighted mode estimator(WME),and simple mode(SM)methods.Sensitivity analysis was performed to assess the robustness of the results.Results:A total of 386 single nucleotide polymorphisms(SNPs)were selected as instrumental variables(IVs)with IGF-1 as the exposure factor.The MR analysis results revealed a positive causal association between IGF-1 and the risk of CRC[odds ratio(OR)=1.178,95％confidence interval(CI):1.092-1.272)](P＜0.001),and the association remained significant after adjusting for height[OR(95％CI)=1.214(1.111,1.327)](P＜0.001).Cochran's Q-test showed heterogeneity among the IVs(P＜0.05),while the horizontal pleiotropy of IV was not detected by the MR-Egger regression(P＞0.05).The leave-one-out analysis showed that the MR results were robust.Reverse MR analysis indicated no reverse causal relationship between IGF-1 and CRC[OR(95％CI):1.017(0.997,1.037)](P=0.103).Conclusion:There is a causal relationship between IGF-1 level and CRC,and elevated IGF-1 level could be a risk factor for CRC.

Objective:To discuss the effect of KH-type splicing regulatory protein(KHSRP)on the malignant biological behaviors of colorectal cancer(CRC)by activating the Janus kinase(JAK)/signal transducer and activator of transcription(STAT)signaling pathway,and to clarify its possible mechanism.Methods:The CRC tissue and adjacent normal tissue from 64 CRC patients were selected.The human CRC cells(HT29,SW620,SW480,DLD-1,LOVO,and RKO)and normal human colorectal mucosal FHC cells were cultured in vitro.The total RNA from CRC tissue and cells were extracted,real-time fluorescence quantitative PCR(RT-qPCR)was used to detect the expression levels of KHSRP in the CRC tissue,adjacent normal tissue and all kinds of cells.The HT29 and SW620 cells were divided into sh-NC group(lentiviral plasmid inserted with non-targeting nucleotide sequence)and sh-KHSRP group(transfected with KHSRP knockdown lentivirus).The SW480 and DLD-1 cells were divided into oe-NC group(lentiviral plasmid inserted with non-targeting nucleotide sequence)and oe-KHSRP group(transfected with KHSRP overexpression lentivirus).Immunohistochemistry(IHC)staing in method was used to analyze the expressions of KHSRP in CRC tissue and adjacent normal tissue;CCK-8 method was used to detect the proliferation activities of the CRC cells in various groups;Transwell assay was used to detect the numbers of migration and invasion cells in various groups;Western blotting method was used to detect the expression levels of KHSRP,JAK1,phosphorylated JAK1(p-JAK1),JAK2,phosphorylated JAK2(p-JAK2),STAT1,STAT2,STAT3,and STAT5 proteins in the CRC cells in various groups.The subcutaneous xenograft tumor models in the nude mice were used to measure the tumor volumes and weights of the mice in various groups.Results:Compared with adjacent normal tissue,the expression level of KHSRP in the CRC tissue was increased(P<0.05).Compared with FHC cells,the expression levels of KHSRP in the CRC cells were increased(P<0.05).Therefore,the HT29 and SW620 cells were selected for knockdown of KHSRP,while the SW480 and DLD-1 cells were selected for over-expression of KHSRP.The Western blotting results showed that the expression amounts of KHSRP protein in the CRC tissue and cells were higher than those in adjacent normal tissue and FHC cells.The IHC results showed that compared with adjacent normal tissue,the expression level of KHSRP protein in CRC tissue was increased(P<0.01).The RT-qPCR results showed that compared with sh-NC group,the expression levels of KHSRP mRNA in the HT29 and SW620 cells in sh-KHSRP group were decreased(P<0.01);compared with oe-NC group,the expression levels of KHSRP mRNA in the SW480 and DLD-1 cells in oe-KHSRP group were increased(P<0.01),indicating successful transfection.The CCK-8 results showed that compared with sh-NC group,the proliferation activities of the HT29 and SW620 cells in sh-KHSRP group after knockdown of KHSRP were decreased(P<0.05 or P<0.01);compared with oe-NC group,the proliferation activities of the SW480 and DLD-1 cells in oe-KHSRP group after over-expression of KHSRP were increased(P<0.05 or P<0.01).Compared with sh-NC group,the numbers of migration and invasion cells in the HT29 and SW620 cells in sh-KHSRP group after knockdown of KHSRP were decreased(P<0.05);compared with oe-NC group,the numbers of migration and invasion cells in the CRC cells in oe-KHSRP group after over-expression of KHSRP were increased(P<0.05).After knockdown of KHSRP,the tumor volume and weight in sh-KHSRP group were smaller than those in sh-NC group(P<0.05 or P<0.01),while the tumor volume andweight in oe-KHSRP group were larger than those in oe-NC group after over-expression of KHSRP(P<0.05 or P<0.01).Compared with sh-NC group,the expression levels of JAK1,p-JAK1,and STAT3 proteins in the CRC cells in sh-KHSRP group were significantly decreased(P<0.05 or P<0.01);compared with oe-NC group,the expression levels of JAK1,p-JAK1,and STAT3 proteins in the CRC cells in oe-KHSRP group were significantly increased(P<0.05 or P<0.01).Conclusion:High expression of KHSRP promotes the proliferation,migration,and invasion of the CRC cells and enhances the growth of subcutaneous xenograft tumors in the mice;its mechanism may be associated with its activation of the JAK1/STAT3 signaling pathway.

Objective:To explore the trend of influenza positive rate in Beijing by using classic autoregressive integrated moving average (ARIMA) model, autoregressive integrated moving average model with exogenous variables (ARIMAX) and vector autoregression model (VAR) to compare the performance of three models in influenza prediction and select the most suitable one for Beijing.Methods:The weekly positive rate of influenza virus nucleic acid test and meteorological data in Beijing from week 1 of 2013 to week 40 of 2024 were collected. The data were divided into four groups with expanding training sets and corresponding testing sets. The training set of the first group was from week 1 of 2013 to week 40 of 2016, and the testing set was from week 41 of 2016 to week 40 of 2017. Subsequent groups extended the training set by one year each time. Data from 2020 to 2023 were excluded due to COVID-19 pandemic. The fourth group used data from the week 1 of 2013 to week 40 of 2023 for training and from the week 41 of 2023 to week 40 of 2024 for testing.Results:The incidence of influenza had seasonality in Beijing with higher incidence in winter and spring. The positive rate of influenza virus was positively correlated with the weekly average atmospheric pressure ( r=0.482, P<0.001) and weekly average wind speed ( r=0.003, P=0.034), and negatively correlated with the weekly average temperature ( r=-0.541, P<0.001). The ARIMAX model incorporating meteorological factors had the best prediction performance, with test set's root mean square error ( RMSE) of 0.115 3 and mean absolute error ( MAE) of 0.076 7 (the RMSE and MAE values for ARIMA and VAR models were 0.117 1 and 0.163 8, and 0.078 6 and 0.122 3, respectively). The prediction results of the optimal model showed that the positive rate of influenza virus would continue to rise in Beijing after October 2024 and reach peak in the second week of 2025, but the peak positive rate would be lower than that of previous influenza season. Conclusions:Compared with the ARIMA model and the VAR model,the ARIMAX model which used meteorological parameters is more suitable for prediction of long-term influenza trend in Beijing. The influenza trend peak was predicted to occur in the second week of 2025, but lower than that in previous influenza season.

Objective:To explore the mechanisms of action of Huanglian Jiedu decoction combined with Xijiao Dihuang decoction (HLJDT-XJDH) in regulating fibroblasts in the treatment of psoriasis. Methods:A mouse model of psoriasis was established by topical application of imiquimod 5% cream on the shaved back; HLJDT-XJDH at different doses of 7.7 and 30.6 g/kg was administered via gavage for intervention, and methotrexate (2 mg/kg) served as a positive control; after 7 days, the severity of skin lesions was assessed using the psoriasis area and severity index (PASI), while histopathological changes of skin tissues were evaluated using hematoxylin-eosin (HE) staining and Baker scoring. For in vitro experiments, fibroblasts were divided into a control group, a model group, a low-dose (5% drug-containing serum) intervention group, and a high-dose (20% drug-containing serum) intervention group; cells in the control group were cultured with 20% normal rat serum for 24 hours; in the model group, cells cultured with 20% normal rat serum were stimulated with 5 ng/ml tumor necrosis factor (TNF) -α and 50 ng/ml interleukin (IL) -17A for 24 hours to mimic fibroblasts during the occurrence of psoriasis; cells in the low- and high-dose intervention groups received the same stimulation as the model group, and were cultured for 24 hours with 5% and 20% HLJDT-XJDH-containing serum, respectively, but not with the 20% normal rat serum. After the above treatment, these cells were co-cultured with keratinocytes (HaCaT cells) using a Transwell system. In addition, on the basis of the control group, fibroblasts were divided into the model group, 20% drug-containing serum intervention group, and 20% drug-containing serum intervention + OE-SFRP2 group; TNF-α and IL-17A were used to stimulate the cells to simulate the psoriatic state; the treatment in the 20% drug-containing serum intervention group was carried out as previously described; in the 20% drug-containing serum intervention + OE-SFRP2 group, cells were transfected with the vector for 48 hours to establish an overexpression model, followed by culture with 20% drug-containing serum for 24 hours, without co-culture with HaCaT cells.. Cell counting kit-8 (CCK-8) assay was performed to assess cell viability, flow cytometry to measure apoptosis rates, enzyme-linked immunosorbent assay (ELISA) to detect levels of inflammatory cytokines (TNF-α, IL-1β, IL-6) as well as chemokine ligand (CXCL) 1 and CXCL12 in mouse serum or cell culture supernatant, qPCR to determine the mRNA expression of inflammatory cytokines, chemokines, cell cycle- and proliferation-related factors, as well as SFRP2 in mouse skin tissues or cells, and Western blot analysis to determine the protein expression of SFRP2, Wnt3a, and β-catenin in fibroblasts. One-way analysis of variance was employed for intergroup comparisons, and post-hoc analysis was conducted using Tukey's test. Results:In vivo mouse experiments showed that compared with the normal control group, the model group exhibited typical psoriatic characteristics in skin morphology, including significant inflammatory infiltration in skin tissues and marked epidermal thickening; compared with the normal control group, the serum levels of TNF-α (531.16 ± 28.27 pg/ml vs. 239.58 ± 10.39 pg/ml), IL-1β (111.40 ± 5.16 pg/ml vs. 80.35 ± 3.87 pg/ml), and IL-6 (109.17 ± 4.84 pg/ml vs. 71.73 ± 2.04 pg/ml) significantly increased in the model group, along with their mRNA expression levels in mouse skin tissues (all P < 0.001) ; compared with the model group, the treatment group showed alleviated psoriatic manifestations, and significant reductions in the levels of inflammatory factors TNF-α (low-dose, high-dose, and positive control groups: 420.80 ± 29.30 pg/ml, 322.33 ± 9.40 pg/ml, 322.97 ± 12.16 pg/ml, respectively), IL-1β (98.69 ± 4.49 pg/ml, 89.02 ± 1.56 pg/ml, 88.88 ± 2.08 pg/ml, respectively), and IL-6 (94.07 ± 3.76 pg/ml, 80.54 ± 3.30 pg/ml, 83.21 ± 3.18 pg/ml, respectively), as well as in their mRNA expression levels (all P < 0.001). In in vitro fibroblast experiments, compared with the control group, the model group exhibited a significant elevation in the supernatant levels of IL-1β (126.42 ± 3.56 pg/ml vs. 34.81 ± 0.44 pg/ml), IL-6 (459.44 ± 9.35 pg/ml vs. 115.51 ± 7.26 pg/ml), CXCL1 (2 434.88 ± 127.63 pg/ml vs. 762.85 ± 30.60 pg/ml) and CXCL12 (3 542.14 ± 35.86 pg/ml vs. 2 095.86 ± 45.12 pg/ml), the expression levels of their mRNAs (all P < 0.001), as well as the protein expression levels of SFRP2, Wnt3a, and β-catenin; after intervention with HLJDT-XJDH-containing serum, all the above indices significantly decreased (all P < 0.001). However, when 20% drug-containing serum intervention was administered simultaneously, the expression of inflammatory factors and chemokines in fibroblasts was significantly higher in the SFRP2 overexpression group than in the non-overexpression group (all P < 0.01). When fibroblasts were co-cultured with HaCaT cells, the model group showed significantly increased cell viability but a decreased apoptosis rate of HaCaT cells compared with the control group, while the low- and high-dose intervention groups showed significantly decreased cell viability but increased apoptosis rates of HaCaT cells compared with the model group (all P < 0.05) . Conclusion:HLJDT-XJDH may exert therapeutic effects in psoriasis by downregulating the SFRP2/Wnt/β-catenin signaling pathway, thereby inhibiting fibroblast activation and inflammatory process, which subsequently suppresses the proliferation of keratinocytes and the activation of inflammatory cells.

To examine the evolution of surgical techniques and trends in overall inpatient burden for pediatric adenoidectomy in Beijing tertiary hospitals from 2013 to 2022. A retrospective observational study was conducted using the regional health information platform of Beijing. Data from children aged ≤14 years who underwent adenoidectomy between 2013 and 2022 were extracted, including total hospitalization cost, length of stay(LOS), surgical material cost, surgical fee, operative technique, perioperative antimicrobial drugs cost, coagulation factor cost, and blood transfusion cost. The Mann-Kendall trend test was used to assess temporal changes in total hospitalization expenses and the structure of cost components. The results showed that over the 10-year period from 2013 to 2022, a total of 25 989 children underwent adenoidectomy in tertiary hospitals. The proportion of children aged ≤6 years increased from 59.83% to 76.11%, showing a significant upward trend ( Z=2.15, P=0.032). Only one case required surgical hemostasis due to postoperative bleeding. During the ten-year period, the median hospitalization cost for adenoidectomy in tertiary hospitals was ￥12 425.82 (￥11 307.43, ￥14 955.42).Overall hospitalization cost demonstrated a fluctuating downward pattern, decreasing from ￥15 229.73 in 2013 to ￥13 927.52 in 2022, this declining trend was not statistically significant( Z=-0.54, P=0.592). In contrast, the surgical costs showed an upward trend over the decade increasing from ￥1 856.22 in 2013 to ￥3 726.45 in 2022, which was statistically significant ( Z=3.22, P=0.001), while the cost of surgical materials showed no significant increase ( Z=1.79, P=0.074).Concurrently, the average LOS decreased remarkably from 10.56 days in 2013 to 3.26 days in 2022 ( Z=-3.94, P<0.001). The cost of perioperative antimicrobial drugs decreased ( Z=-3.94, P<0.001), while the cost of coagulation factors and blood transfusion remained unchanged ( Z=0.54, P=0.592; Z=0.56, P=0.578). Comparison between 2013-2017 and 2018-2022 showed a significant increase in the use of coblation from 28.9% to 42.5% ( χ2=638.7, P<0.001).Furthermore, in the coblation group, total hospitalization cost decreased by 27.73%, surgical cost increased by 94.98%, surgical material cost decreased by 10.33%, LOS shortened by 56.24%, and antimicrobial drug cost increased by 43.03%. In contrast, the non-coblation group showed a 23.94% increase in total hospitalization cost, a 57.08% increase in surgical procedure cost, a 33.88% increase in material cost, and a 30.14% reduction in LOS and a 26.0% decrease in antimicrobial drugs cost. In conclusion,from 2013 to 2022, total hospitalization cost for pediatric adenoidectomy in Beijing tertiary hospitals remained stable. Compared to non-coblation techniques, coblation was associated with a shorter LOS, lower total costs, a higher proportion of surgical fees, and a decreased proportion of material costs, without a significant increase in overall healthcare costs.

Objective:To predict pre-treatment clinical parameters that are associated with poor response and prognosis to ursodeoxycholic acid (UDCA) in patients with primary biliary cholangitis (PBC) and to use second-line treatment drugs in the early stages to delay the progression of the disease so that patients can benefit from early-stage treatment.Methods:Patients diagnosed with PBC at the Second Affiliated Hospital of Kunming Medical University from 2013 to 2022 were collected. Two hundred fifty-seven cases were screened in accordance with the inclusion and exclusion criteria. The response and prognosis conditions one year after treatment were followed up in outpatient and inpatient departments, as well as through telephone calls. Statistical analyses were performed using t-tests, Mann-Whitney U test, χ2 test, Fisher's exact test, and logistic regression analysis according to different data. Results:A total of 257 PBC cases were included, with 223 females (86.80%) and 34 males (13.20%). Univariate and multivariate binary logistic regression analyses showed that baseline high albumin levels [odds ratio ( OR): 0.882, 95% confidence interval ( CI): 0.805～0.967, P=0.008] were a protective factor for PBC patients' response to UDCA treatment after adjusting for different confounding factors, while baseline high alkaline phosphatase ( OR: 1.012, 95% CI: 1.008～1.016, P<0.001) and baseline high neutrophil/lymphocyte ratio (NLR) level ( OR: 1.462, 95% CI:1.079～1.981, P=0.014) were risk factors for a poor response to UDCA. Trend analysis showed that the baseline NLR quantile was positively correlated with the risk of poor response to UDCA ( OR: 5.512, 95% CI: 1.040～29.216, P=0.045) in patients with PBC. Cox proportional hazards regression analysis identified that age [hazard ratio ( HR): 1.050, 95% CI: 1.019～1.082] and NLR value ( HR:1.089, 95% CI:1.021～1.161) were independent influencing risk factors for all-cause mortality in PBC patients ( P<0.05). Conclusion:Baseline high albumin levels are protective factors against a poor biochemical response to UDCA, while baseline high alkaline phosphatase levels and high NLR are risk factors for a poor biochemical response to UDCA in patients with PBC. Additionally, baseline high NLR values are positively correlated with poor biochemical response to UDCA treatment.