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.

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.

Objective To construct a dynamic prediction model for JC polyomavirus (JCV) reactivation after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 128 recipients who met the inclusion criteria and received kidney transplantation in Nanfang Hospital, Southern Medical University, from June 2021 to December 2024. Dynamic Cox regression and dynamic restricted mean survival time (RMST) regression based on the landmark method were adopted to establish the dynamic prediction models, and Monte Carlo cross-validation was used to evaluate model performance. Results The dynamic models could predict the incidence and onset time of JCV reactivation within the subsequent 3 months according to covariates at each landmark time point from the 1st to the 6th month after transplantation. Remuzzi score, body mass index and warm ischemia time were independent risk factors for JCV reactivation, while a history of urinary BK polyomavirus reactivation served as a protective factor. The median values of the area under the curve, C-index and Brier score of the dynamic Cox model were 0.873, 0.851 and 0.065 respectively, and the C-index of the dynamic RMST model was 0.829, all of which were superior to those of the static model. Conclusions The landmark-based dynamic models exhibit excellent predictive performance, which may integrate baseline data and post-transplant follow-up information to realize dynamic assessment of the risk and time window of JCV reactivation, thereby providing evidence for optimizing post-operative monitoring and individualized intervention strategies.

ObjectiveTo investigate the target proteins directly bound by neochlorogenic acid （NA） and the molecular mechanisms that ameliorate the proliferation and inflammatory response of psoriatic keratinocytes. MethodsM5-induced HaCaT cells were used as a psoriatic keratinocyte proliferation and inflammatory cell model. The synthesized NA probe （NA-P） and NA prodrug were first evaluated for cell viability using a cell proliferation/cell counting kit-8（CCK-8）. The potency of NA and NA-P was evaluated in the safe concentration range， and the effects of 0-100 μmol·L^-1 NA and probe on M5-induced proliferation of HaCaT cells were detected using CCK-8. The effects of 20， 40， 80 μmol·L^-1 NA and 80 μmol·L^-1 NA-P on the expression of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， interleukin-23 （IL-23）， and interleukin-17A （IL-17A） inflammatory factors were detected by enzyme-linked immunosorbent assay （ELISA）， and real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to measure the effects of NA on the mRNA expression of keratin 16 （K16） in HaCaT cells， S100 calcium-binding protein A9 （S100A9）， S100 calcium-binding protein A7 （S100A7）， IL-6， IL-17A， and chemokine 1 （CXCL1）. In vitro fluorescence labeling and competition experiments using NA-P were performed， and target protein angling and analysis using pull-down experiments combined with liquid chromatography-mass spectrometry （Pull-down/LC-MS/MS） were conducted. Target validation was performed using pull-down experiments combined with protein immunoblotting （Pull down-WB）， cellular heat transfer analysis combined with protein immunoblot （CETSA-WB） experiments， and molecular docking. Finally， Real-time PCR was utilized to detect the effects of 20， 40， 80 μmol·L^-1 NA and 80 μmol·L^-1 NA-P on the mRNA expression of IL-1β， nucleotide-binding oligomeric structural domain-like receptor protein 3 （NLRP3）， apoptosis-associated speckled-like protein （ASC）， and cysteine protease-1 （Caspase-1） in HaCaT cells. Protein immunoblot （Western blot） was used to detect the effects of phosphorylated p65 （p-p65）， p65， phosphorylated human nuclear factor-κB inhibitory protein α （p-IκBα）， human nuclear factor κB inhibitory protein α （IκBα）， and heat shock protein 90 （HSP90） expression. ResultsIn the 200 μmol·L^-1 safe concentration range， HaCaT cell proliferation， increased expression of TNF-α， IL-1β， IL-23， and IL-17A inflammatory factors， and increased mRNA expression of K16， S100A9， S100A7， IL-6， IL-17A， and CXCL1 were observed in the M5 group compared with the blank group. Cell proliferation in 5-100 μmol·L^-1 NA and NA-P groups was inhibited， and the expression of TNF-α， IL-1β， IL-23， and IL-17A inflammatory factors was decreased in the NA-L， NA-M， NA-H， and NA-P-H groups. The mRNA expression of K16， S100A9， S100A7， IL-6， IL-17A， and CXCL1 was decreased （P<0.05）. High-confidence targets were screened for HSP90 protein by Pull-down/LC-MS/MS using 200 μmol·L^-1 NA competing with 100 μmol·L^-1 NA-P. Compared with that in the blank group， the mRNA expression of NLRP3， IL-1β， ASC， and Caspase-1， as well as the expression of p-p65/p65， p-IκBα/IκBα， and HSP90 protein， were increased in HaCaT cells in the M5 group （P<0.05）. Compared with that in the M5 group， the mRNA expression of NLRP3， IL-1β， ASC， and Caspase-1 of cells in the NA-L group， the NA-M group， the NA-H group， and the NA-P-H group was decreased （P<0.05）. p-p65/p65 and p-IκBα/IκBα were decreased in the NA-M and NA-H groups （P<0.05）， and there was no change in HSP90 protein. Pull down-WB showed that NA could directly target HSP90 protein， and NA binding to HSP90 protein enhanced its thermal stability. Molecular docking of NA with HSP90 family proteins HSP90AA1， HSP90B1， and HSP90AB1 all resulted in highly stable binding. ConclusionNA can inhibit the proliferation and inflammatory response of psoriatic keratinocytes by a mechanism that may be achieved by targeting HSP90 to modulate the NF-κB/NLRP3 signaling pathway.

ObjectiveTo investigate the target proteins directly bound by neochlorogenic acid （NA） and the molecular mechanisms that ameliorate the proliferation and inflammatory response of psoriatic keratinocytes. MethodsM5-induced HaCaT cells were used as a psoriatic keratinocyte proliferation and inflammatory cell model. The synthesized NA probe （NA-P） and NA prodrug were first evaluated for cell viability using a cell proliferation/cell counting kit-8（CCK-8）. The potency of NA and NA-P was evaluated in the safe concentration range， and the effects of 0-100 μmol·L^-1 NA and probe on M5-induced proliferation of HaCaT cells were detected using CCK-8. The effects of 20， 40， 80 μmol·L^-1 NA and 80 μmol·L^-1 NA-P on the expression of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， interleukin-23 （IL-23）， and interleukin-17A （IL-17A） inflammatory factors were detected by enzyme-linked immunosorbent assay （ELISA）， and real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to measure the effects of NA on the mRNA expression of keratin 16 （K16） in HaCaT cells， S100 calcium-binding protein A9 （S100A9）， S100 calcium-binding protein A7 （S100A7）， IL-6， IL-17A， and chemokine 1 （CXCL1）. In vitro fluorescence labeling and competition experiments using NA-P were performed， and target protein angling and analysis using pull-down experiments combined with liquid chromatography-mass spectrometry （Pull-down/LC-MS/MS） were conducted. Target validation was performed using pull-down experiments combined with protein immunoblotting （Pull down-WB）， cellular heat transfer analysis combined with protein immunoblot （CETSA-WB） experiments， and molecular docking. Finally， Real-time PCR was utilized to detect the effects of 20， 40， 80 μmol·L^-1 NA and 80 μmol·L^-1 NA-P on the mRNA expression of IL-1β， nucleotide-binding oligomeric structural domain-like receptor protein 3 （NLRP3）， apoptosis-associated speckled-like protein （ASC）， and cysteine protease-1 （Caspase-1） in HaCaT cells. Protein immunoblot （Western blot） was used to detect the effects of phosphorylated p65 （p-p65）， p65， phosphorylated human nuclear factor-κB inhibitory protein α （p-IκBα）， human nuclear factor κB inhibitory protein α （IκBα）， and heat shock protein 90 （HSP90） expression. ResultsIn the 200 μmol·L^-1 safe concentration range， HaCaT cell proliferation， increased expression of TNF-α， IL-1β， IL-23， and IL-17A inflammatory factors， and increased mRNA expression of K16， S100A9， S100A7， IL-6， IL-17A， and CXCL1 were observed in the M5 group compared with the blank group. Cell proliferation in 5-100 μmol·L^-1 NA and NA-P groups was inhibited， and the expression of TNF-α， IL-1β， IL-23， and IL-17A inflammatory factors was decreased in the NA-L， NA-M， NA-H， and NA-P-H groups. The mRNA expression of K16， S100A9， S100A7， IL-6， IL-17A， and CXCL1 was decreased （P<0.05）. High-confidence targets were screened for HSP90 protein by Pull-down/LC-MS/MS using 200 μmol·L^-1 NA competing with 100 μmol·L^-1 NA-P. Compared with that in the blank group， the mRNA expression of NLRP3， IL-1β， ASC， and Caspase-1， as well as the expression of p-p65/p65， p-IκBα/IκBα， and HSP90 protein， were increased in HaCaT cells in the M5 group （P<0.05）. Compared with that in the M5 group， the mRNA expression of NLRP3， IL-1β， ASC， and Caspase-1 of cells in the NA-L group， the NA-M group， the NA-H group， and the NA-P-H group was decreased （P<0.05）. p-p65/p65 and p-IκBα/IκBα were decreased in the NA-M and NA-H groups （P<0.05）， and there was no change in HSP90 protein. Pull down-WB showed that NA could directly target HSP90 protein， and NA binding to HSP90 protein enhanced its thermal stability. Molecular docking of NA with HSP90 family proteins HSP90AA1， HSP90B1， and HSP90AB1 all resulted in highly stable binding. ConclusionNA can inhibit the proliferation and inflammatory response of psoriatic keratinocytes by a mechanism that may be achieved by targeting HSP90 to modulate the NF-κB/NLRP3 signaling pathway.

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 systematically construct patient-derived tumor organoid(PDO)and patient-derived xenograft(PDX)models of prostate cancer(PCa),and to explore the inhibitory effect and mechanism of gambogic acid(GA)on PCa.Methods The PubChem,SwissTargetPrediction,SuperPred,SEA,GeneCards,OMIM,and STRING databases,and the Venny 2.1.0 online website,Cytoscape 3.8.2,and DAVID software were used to construct a protein-protein interaction network.Gene ontology(GO)and kyoto encyclopedia of genes and genomes(KEGG)enrichment analyses were carried out,and visualization processing was performed to identify the targets and pathways of GA acting on PCa.GA was applied to PDOs and PCa cells(22Rv1,PC3,and DU145)for 48 hours and its effects on cell viability were assessed by CellTiter-Glo and CCK-8 assays.Changes in gene and protein levels of the targets were analyzed by quantitative real-time polymerase chain reaction and Western Blot,respectively.The PDX model was treated with GA and the tumor volume and weight were measured.Changes in expression levels of the targets in tumor tissues were detected by immunohistochemistry.Results Network pharmacology identified signal transducer and activator of transcription 3(STAT3)as the core target of GA inhibiting PCa,related to the hypoxia-inducible factor(HIF)-1α signaling pathway.GA reduced the viability of cells and PDOs and significantly down-regulated HIF-1α,STAT3,and P-STAT3 protein levels.In vivo experiments,tumor volume and weight were significantly reduced in the GA group,and immunohistochemistry showed that STAT3 and HIF-1α expression levels were decreased.Conclusions The clinically representative PDO and PDX models,combined with cell lines,verified the prediction result of network pharmacology,confirming a significant killing effect of GA on PCa,possibly via a mechanism related to the STAT3/HIF-1α signaling pathway.

OBJECTIVE: To explore the genetic basis of a child with Chanarin-Dorfman syndrome (CDS) manifesting as ichthyosis. METHODS: A child who had presented at Henan Provincial People's Hospital in June 2023 was selected as study subject. Clinical data of the child was collected. Peripheral blood samples were collected from the child and her parents. Following extraction of genomic DNA, whole-exome sequencing (WES) was carried out. Candidate variants were verified by Sanger sequencing. Relevant literature was searched in databases using key words "Chanarin-Dorfman syndrome" and "ABHD5 gene". The clinical manifestations and variant sites of previously reported cases were compiled and analyzed for correlations. This study was approved by the Medical Ethics Committee of Henan Provincial People's Hospital [Ethics No.: (2019) Jun Shen No. (134)]. RESULTS: WES revealed that the child has harbored compound heterozygous variants of the ABHD5 gene, namely c.99_103del (p.H34*) in exon 2 and c.770C>G (p.P257R) in exon 5, which were inherited from her father and mother, respectively. Bioinformatic analysis suggested that both variants were pathogenic. Literature review indicated that the affected organs in CDS are ranked from most to least including liver, eyes, ears, nervous system, muscles, spleen, and kidneys. The c.594insC and c.594dupC variants are most common. CONCLUSION The identification of the two novel ABHD5 gene variants has enriched the mutation spectrum of CDS. c.594insC or c.594dupC are hotspot mutations of this disease, albeit with no definitive correlation between the genotype and phenotype.
Humans ; Female ; Ichthyosiform Erythroderma, Congenital/genetics* ; Lipid Metabolism, Inborn Errors/genetics* ; Phenotype ; 1-Acylglycerol-3-Phosphate O-Acyltransferase/genetics* ; Mutation ; Muscular Diseases/genetics* ; Exome Sequencing ; Child ; Male ; Child, Preschool