Objective: To systematically evaluate the association between random urinary electrolyte levels and hypertension among children and adolescents in Guizhou Province, so as to provide evidence for region specific dietary guidance and interventions. Methods: In 2023, a total of 2 480 children and adolescents aged 6 to 17 years were recruited from a nine-year coherent style school in Guizhou Province in a children health cohort, with follow ups conducted in 2024 and 2025. Random urine samples were collected to measure urinary sodium, potassium, calcium, and chloride, and the urinary sodium to potassium ratio (Na/K) was calculated. The diagnosis of hypertension was based on the criteria established by the Chinese Guidelines for Hypertension Prevention and Treatment (2024 revised edition) and relevant research. Linear mixed models and multinomial Logistic regression were used to assess the associations of urinary electrolytes with systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), and the risk of hypertension. Results: At baseline, SBP, DBP, and MAP were 102.33 (94.33, 110.33), 61.33 (56.33, 67.00) and 75.22 (69.67, 81.33)mmHg among children and adolescents, respectively. After adjusting for potential confounders and two follow-ups, higher urinary Na/K ratio was positively associated with higher of SBP ( β=0.054, 95%CI =0.028- 0.081 ) and MAP ( β=0.038, 95%CI =0.010-0.066), as well as higher risks of hypertension ( OR=1.248, 95%CI =1.006-1.548) (all P <0.05). Higher of urinary chloride levels were positively associated with higher of SBP ( β=0.088, 95%CI = 0.009- 0.167), whereas higher of urinary potassium (SBP: β=-0.062, 95%CI =-0.096 to -0.028; MAP: β=-0.041, 95%CI = -0.078 to -0.005) and calcium levels (SBP: β=-0.036, 95%CI =-0.065 to -0.007) were negatively associated with blood pressure (all P < 0.05 ). Conclusion The urinary Na/K, as a comprehensive electrolyte marker, more stably reflects sodium load and excretory pressure in children and adolescents, and may serve as an early predictor of hypertension risk.

Objective: To construct a risk prediction model for pediatric metabolic dysfunction associated steatotic liver disease (MASLD), so as to provide practical tool for the early identification of high risk children. Methods: A healthy cohort of children in Southwest China was established from January 2021 to April 2025. A nested case-control study design was used to include 507 cases MASLD group and 507 cases in non MASLD group. Data on physical measurements, blood biochemical parameters, and liver ultrasound indicators were collected. Conditional Logistic regression was used to analyze the relationship between individual variables and MASLD, Lasso regression was applied for multivariable screening, and a high risk prediction model was constructed and presented in the form of a nomogram. Internal validation was performed using 10 repeated ten fold cross validations to assess model discrimination, accuracy, sensitivity, and specificity. Results: Logistic regression analysis showed that MASLD was associated with central obesity ( OR=22.11, 95%CI =15.62-31.29), apolipoprotein B ( OR=30.24, 95%CI =12.42-73.63), increased hepatorenal echo ( OR=326.00, 95%CI =183.87-578.01), hepatomegaly ( OR=24.98, 95%CI =16.66-37.46) (all P <0.05). The Lasso regression jointly selected 6 key variables, including hepatorenal echo, central obesity, hepatomegaly, right liver lobe inclination, body mass index, and alanine amino transferase. The results of cross validation showed that the average area under the curve (AUC) was 0.999 5, the average accuracy was 98.74%, and the sensitivity and specificity were 98.21% and 99.22% respectively, indicating a good predictive effect of the model. Conclusion The risk prediction model for high risk MASLD among children based on ultrasound and clinical indicators has good prediction effect, which is helpful for the early identification and risk stratification of pediatric MASLD.

Objective To analyze the characteristics of postoperative hospital-acquired infections and drug sensitivity in lung transplant recipients over the past 5 years in a single center. Methods A total of 724 lung transplant recipients at Wuxi People's Hospital from January 2019 to December 2023 were selected. Based on the principles of hospital-acquired infection diagnosis, a retrospective analysis was conducted on the hospital infection situation and infection sites of lung transplant recipients, and an analysis of the distribution of hospital-acquired infection pathogens and their antimicrobial susceptibility test status was performed. Results Among the 724 lung transplant recipients, 275 cases of hospital-acquired infection occurred, with an infection rate of 38.0%. The case-time infection rate decreased from 54.2% in 2019 to 22.8% in 2023, showing a downward trend year by year (Z=30.98, P<0.001). The main infection site was the lower respiratory tract, accounting for 73.6%. The pathogens were mainly Gram-negative bacteria, with the top four being Acinetobacter baumannii (37.1%), Pseudomonas aeruginosa (17.3%), Klebsiella pneumoniae (13.7%), and Stenotrophomonas maltophilia (13.4%), with imipenem resistance rates of 89%, 53%, 58% and 100%, respectively. Gram-positive bacteria were mainly Staphylococcus aureus (3.6%), with a methicillin resistance rate of 67%. Conclusions Over the past 5 years, the hospital-acquired infections in lung transplant recipients have shown a downward trend, mainly involving lower respiratory tract infections, with the main pathogens being Acinetobacter baumannii, Pseudomonas aeruginosa and Klebsiella pneumoniae, all of which have high resistance rates to imipenem.

HDAC7, a member of class IIa HDACs, plays a pivotal regulatory role in tumor, immune, fibrosis, and angiogenesis, rendering it a potential therapeutic target. Nevertheless, due to the high similarity in the enzyme active sites of class IIa HDACs, inhibitors encounter challenges in discerning differences among them. Furthermore, the substitution of key residue in the active pocket of class IIa HDACs renders them pseudo-enzymes, leading to a limited impact of enzymatic inhibitors on their function. In this study, proteolysis targeting chimera (PROTAC) technology was employed to develop HDAC7 drugs. We developed an exceedingly selective HDAC7 PROTAC degrader B14 which showcased superior inhibitory effects on cell proliferation compared to TMP269 in various diffuse large B cell lymphoma (DLBCL) and acute myeloid leukemia (AML) cells. Subsequent investigations unveiled that B14 disrupts BCL6 forming a transcriptional inhibition complex by degrading HDAC7, thereby exerting proliferative inhibition in DLBCL. Our study broadened the understanding of the non-enzymatic functions of HDAC7 and underscored the importance of HDAC7 in the treatment of hematologic malignancies, particularly in DLBCL and AML.

Lung cancer is the most prevalent malignant tumor worldwide. For lung cancer patients with multiple intrapulmonary metastases or impaired lung function, complete tumor resection is challenging, and the prognosis is poor. Lung transplantation demonstrates potential therapeutic value in achieving complete tumor resection, improving lung function, and enhancing quality of life. Advances in tumor detection technologies such as positron emission tomography-computed tomography and circulating tumor DNA, along with the development of comprehensive treatment strategies for lung cancer, provide powerful tools for accurately predicting tumor recurrence and treatment outcomes following lung transplantation. The feasibility of lung transplantation as a treatment for lung cancer is receiving increasing attention. This article reviews the history and clinical management of lung transplantation for lung cancer.

Enhanced recovery after surgery (ERAS) is a series of perioperative optimization measures based on evidence-based medicine aimed at achieving rapid recovery. Existing studies have shown that ERAS can effectively reduce surgical stress, decrease the incidence of complications, shorten hospital stays, save medical costs, and improve patient satisfaction. Although lung transplantation techniques have become increasingly mature, lung transplant recipients still have a high incidence of complications during perioperative period. To further improve the perioperative survival rate of lung transplant recipients, introducing ERAS concept into the perioperative management strategy of lung transplantation is of great significance for reducing incidence of perioperative complications, promoting rapid recovery and long-term survival of lung transplant recipients. This article discusses the advances in application of ERAS concept in the perioperative management of lung transplantation, aiming to provide references for optimizing the perioperative management of lung transplant recipients and reducing perioperative complications.

Objective To compare the performance and efficacy of prognostic models constructed by different machine learning algorithms in predicting the survival period of lung transplantation (LTx) recipients. Methods Data from 483 recipients who underwent LTx were retrospectively collected. All recipients were divided into a training set and a validation set at a ratio of 7:3. The 24 collected variables were screened based on variable importance (VIMP). Prognostic models were constructed using random survival forest (RSF) and extreme gradient boosting tree (XGBoost). The performance of the models was evaluated using the integrated area under the curve (iAUC) and time-dependent area under the curve (tAUC). Results There were no significant statistical differences in the variables between the training set and the validation set. The top 15 variables ranked by VIMP were used for modeling and the length of stay in the intensive care unit (ICU) was determined as the most important factor. Compared with the XGBoost model, the RSF model demonstrated better performance in predicting the survival period of recipients (iAUC 0.773 vs. 0.723). The RSF model also showed better performance in predicting the 6-month survival period (tAUC _{6 months} 0.884 vs. 0.809, P = 0.009) and 1-year survival period (tAUC _{1 year} 0.896 vs. 0.825, P = 0.013) of recipients. Based on the prediction cut-off values of the two algorithms, LTx recipients were divided into high-risk and low-risk groups. The survival analysis results of both models showed that the survival rate of recipients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). Conclusions Compared with XGBoost, the machine learning prognostic model developed based on the RSF algorithm may preferably predict the survival period of LTx recipients.

Idiopathic pulmonary fibrosis （IPF） can be classified as pulmonary collateral disease，and its pathogenesis is mainly characterized by the loss of Qi meridian nourishment，the loss of Yin meridian nourishment，and the formation of blood stasis in the blood vessels. Qi Yin deficiency is the pathological basis that runs through IPF，and obstruction of meridians and collaterals is a key element in the development of the disease. The dysfunction of "spleen being in charge of the defensive function" is closely related to the formation of the pathological pattern of "lung deficiency and collateral stasis" in IPF. The term "spleen being in charge of the defensive function" originated from the Yellow Emperor's Inner Canon. If the spleen is healthy，the Qi will be filled with vitality. Positive energy is stored inside，evil cannot be dried up. Its concept is quite similar to the immune defense function in modern medicine. If the principle of "spleen being in charge of the defensive function" is lost，the key structure and function of the IPF alveolar epithelial barrier may be abnormal，and it can interact with various innate immune cells to promote inflammation and fibrosis processes. Therefore，this article explains the imbalance of immune homeostasis in IPF alveolar epithelium from two aspects：the barrier function of alveolar epithelial cells（AECs） and their interaction with innate immune cells. And based on the theory of "spleen being in charge of the defensive function"，using traditional Chinese medicine for strengthening the spleen and nourishing Qi to treat IPF from the perspective of the spleen. This not only strengthens the scientific connotation of "spleen being in charge of the defensive function" in the pathogenesis of IPF，but also provides new research directions and ideas for its future clinical prevention and treatment.

Multidrug resistant organism refers to bacteria that are insensitive to three or more antibiotics commonly used in clinic, including Pseudomonas aeruginosa, Acinetobacter Baumannii and Klebsiella pneumoniae, etc. MDRO infection is a major factor affecting the survival rate after lung transplantation (LTx), accounting for 30% of the causes of death in the first year after transplantation. Antibiotic treatment has low specificity and is prone to drug resistance. The development of new drugs has a long cycle and high cost, with significant limitations. Phage has high specificity for bacteria, which can proliferate in large quantities in the infected lesion and co-evolve with bacteria during the action process. Phage also have a good killing effect on MDRO, which is expected to make up for the deficiencies of existing antibiotic therapy. This article reviews the development background and mechanism of action of phage therapy, and summarizes its application status and early clinical trial results in the field of LTx, in order to providing new thinking paths for clinical work.

Objective To investigate the value of ultrasound for differentiating pancreatoblastoma(PB)and solid pseudopapillary tumor of pancreas(SPT)in children.Methods Data of 7 children with PB(PB group)and 22 with SPT(SPT group)were retrospectively analyzed.The clinical data and lesion's ultrasonic manifestations were compared between groups.Receiver operating characteristic(ROC)curves of clinical and ultrasound related parameters being significantly different between groups showed by univariate analysis were draw,and the area under the curve(AUC)were calculated to evaluate their efficacy for differentiating PB and SPT.Ultrasound parameters with P＜0.05 in univariate analysis were incorporated into binary logistic analysis,and a ultrasound regression model was constructed to distinguish PB and SPT,and its diagnostic efficacy was evaluated.Results Significant differences of children'age,gender,serum alpha fetoprotein level,and the shape,maximum diameter,texture,calcification and local invasion of lesions were found between groups(all P＜0.05).AUC of single serum alpha fetoprotein level,the shape,maximum diameter,texture,calcification and local invasion of lesion for differentiating PB and SPT was 1.000,0.766,0.854,0.776,0.789 and 0.714,respectively(all P＜0.05).The shape(OR=8.704,P=0.075)and maximum diameter of lesions(OR=1.695,P=0.042)showed with ultrasound were both important differentiating factors for PB and SPT,and AUC of the ultrasound regression model constructed based on them was 0.886.Conclusion Ultrasound could effectively differentiate PB and SPT in children.