Background In 2021, chronic obstructive pulmonary disease (COPD) emerged as the forth leading cause of death in the world. However, the impact of air pollutants on COPD is still inconsistent across current studies. Objective To analyze the relationship between ambient sulfur dioxide (SO₂) exposure and hospital admissions for COPD in Lanzhou, and to examine the modified effects of SO₂ across different genders, age groups, and seasons. Methods A total of 20718 hospital admission records for COPD were collected from Lanzhou between 2016 and 2020, alongside synchronized data on SO₂ concentration and meteorological variables. A generalized additive model integrated with a distributed lag nonlinear model was used to assess the relationship and the lag effects between SO₂ exposure and COPD admissions. Potential confounders, including meteorological factors, day-of-the-week effect, and holidays, were controlled for, with a maximum lag period set at 7 d. Two-pollutant models and sensitivity analyses were conducted to ensure robustness. Results are expressed as relative risks (RR) with 95% confidence intervals (95%CI). Results During the study period, the average daily number of COPD admissions was 11.34±7.03. The average mass concentration of SO₂ was (23.72±12.35) μg·m⁻³. SO₂ exposure was positively correlated with COPD admissions; specifically, each 10 μg·m⁻³ increase in SO₂ concentration was associated with an RR of 1.440 (95%CI: 1.317, 1.573). Stratified analyses found that at a cumulative lag of 7 d, the RRs were higher among females, individuals aged ≥65 years, and during the cold season. Conversely, no significant increase in COPD admission risk related to SO₂ was observed during the warm season. For every 10 μg·m⁻³ increase in SO₂ concentration, the RR was 1.483 (95%CI: 1.311, 1.678) for females, 1.441 (95%CI: 1.311, 1.583) for those aged > 65 years， and 1.595 (95%CI: 1.313, 1.937) during the cold season. Conclusion Short-term exposure to ambient SO₂ exposure in Lanzhou is associated with an increased risk of COPD admission. The association is more pronounced among females, the elderly (aged> 65 years) and during the cold season.

Objective:To assess the preliminary efficacy and safety of modified Société Internationale d′Oncologie Pédiatrique Epithelial Liver Tumor Study Group (SIOPEL)-4 protocol for pediatric hepatoblastoma (HB) with lung metastases.Methods:This prospective cohort study enrolled 27 newly diagnosed pediatric HB with lung metastases who received the modified SIOPEL-4 protocol at Shanghai Children′s Medical Center, Shanghai Jiao Tong University School of Medicine, and Shanghai Children′s Hospital between January 2020 to December 2023. Clinical characteristics, lung response rates to induction chemotherapy, treatment outcomes, prognostic factors and sever chemotherapy toxicities at different stages were analyzed. Survival analysis was performed by Kaplan-Meier method. Univariate prognostic analysis was conducted by Log-Rank test.Results:Of the 27 patients, there were 17 males and 10 females, with the age of 21 (15, 33) months. During the follow-up of 31 (12, 45) months for 17 continuous complete remission patients, 4 cases disease progression (2 cases death) and 6 cases relapse were observed. The 2-year event free survival (EFS) and overall survival (OS) rate was (58±11)% and (89±7)%, respectively. All the 27 patients had response to block 1-3 induction chemotherapy (cisplatin+doxorubicin), with 14 cases (52%) achieving complete response and 13 cases (48%) achieving partial response of lung metastatic lesions, the 2-year EFS rate was (81±12)% and (34±14)%, respectively ( χ 2=6.76, P=0.009), the 2-year OS rate was 100% and (79±13)%, respectively ( χ2=2.12, P=0.145). Patients with caudate lobe tumors or ≥10 pulmonary metastatic nodules had significantly lower EFS rates ( χ2=5.36, 7.84, P=0.021, 0.005, respectively). The incidence of grade 3/4 neutropenia after block 1-3 induction chemotherapy, CD (carboplatin+doxorubicin), and VI (vincristine+irinotecan) consolidation chemotherapy was 90% (73/81), 75% (58/77), and 31% (11/35), respectively. The incidence of grade 3/4 thrombocytopenia was 77% (62/81), 69% (53/77), and 14% (5/35), respectively. The incidence of grade 3/4 infections was 64% (52/81), 25% (19/77), and 20% (7/35), respectively. The differences between the groups were statistically significant ( χ2=43.51, 42.69, 33.00, all P<0.001). Two patients (10%) of the 20 evaluable patients for ototoxicity occurred grade 3 and higher hearing impairment, with 1 patient requiring a hearing aid. Conclusions:The modified SIOPEL-4 regimen shows good preliminary efficacy and safety in treating pediatric HB with lung metastases. The prognosis for patients with residual lesions in the lungs after induction chemotherapy needs to be improved. Attention should be given to the ototoxicity induced by high-dose cisplatin chemotherapy.

Objective:This study aims to develop a laboratory-based predictive model for early neurological deterioration (END) in patients with acute cerebral infarction (ACI) using baseline data collected at hospital admission.Methods:This study was a retrospective cohort study. Clinical and baseline laboratory test data from 502 patients with ACI admitted to the Department of Neurology at our hospital between January 1, 2022 and May 31, 2025. Of these patients, 313 were male and 189 were female, with a median age of 67 years (interquartile range: 58-73). Patients were classified into an END group and a non-END group according to the occurrence of END within 7 days of admission. Subsequently, using the caret package in R (version 4.4.2), the dataset was randomly divided into a training set ( n=351) and a validation set ( n=151) at a 7∶3 ratio, with END status as the stratification variable and a fixed random seed to ensure reproducibility. Following baseline characteristic comparisons between groups, these datasets were used for model development and validation, respectively. The differences in clinical indicators between the two patients groups were assessed using the chi-square test and the Wilcoxon rank sum test. In the training group, Lasso regression was utilized to identify variables significantly associated with END. Seven machine learning algorithms-decision tree (DT), random forest (RF), light gradient boosting machine (LGBM), extreme gradient boosting (XGB), K-nearest neighbors (KNN), support vector machine (SVM), and logistic regression (LR)-were employed to develop predictive models. The optimal hyperparameters were determined via grid search integrated with 5-fold cross-validation. The final algorithm was selected based on comprehensive model performance evaluation. Additionally, clinical data of 79 patients with ACI, collected between June 1 to August 31, 2025, were compiled as an independent test set for external validation. The cohort comprised 49 males and 30 females, with a median age of 68 years (interquartile range: 57-72). The SHapley Additive exPlanations (SHAP) method was employed to access feature importance and model interpretability. SHAP dependence plots and interaction plots were utilized to emplore the nonlinear relationships and interaction effects among the featurevariables. Results:Among the 502 patients, 166 experienced END during 7 days of hospitalization. Lasso regression identified nine significant predictors: history of hyperlipidemia, admission NIHSS score, lymphocyte-to-monocyte ratio (LMR), hemoglobin, D-dimer, albumin, neuron-specific enolase (NSE), homocysteine (HCY), and vitamin B12. The area under the receiver operating characteristic curve (AUC) for the seven machine learning models ranged from 0.709 to 0.946. The XGB model achieved the highest predictive performance, with an AUC of 0.946 (95% CI 0.924-0.960) in the training cohort and 0.867 (95% CI 0.902-0.933) in the validation cohort. SHAP analysis revealed that the top five variables contributing to END prediction were admission NIHSS score, HCY, D-dimer, history of hyperlipidemia, and vitamin B12. Conclusion:This study successfully developed a laboratory-based prediction model for END using the XGB machine learning algorithm, which demonstrated strong predictive performance.

Objective:To assess the preliminary efficacy and safety of modified Société Internationale d′Oncologie Pédiatrique Epithelial Liver Tumor Study Group (SIOPEL)-4 protocol for pediatric hepatoblastoma (HB) with lung metastases.Methods:This prospective cohort study enrolled 27 newly diagnosed pediatric HB with lung metastases who received the modified SIOPEL-4 protocol at Shanghai Children′s Medical Center, Shanghai Jiao Tong University School of Medicine, and Shanghai Children′s Hospital between January 2020 to December 2023. Clinical characteristics, lung response rates to induction chemotherapy, treatment outcomes, prognostic factors and sever chemotherapy toxicities at different stages were analyzed. Survival analysis was performed by Kaplan-Meier method. Univariate prognostic analysis was conducted by Log-Rank test.Results:Of the 27 patients, there were 17 males and 10 females, with the age of 21 (15, 33) months. During the follow-up of 31 (12, 45) months for 17 continuous complete remission patients, 4 cases disease progression (2 cases death) and 6 cases relapse were observed. The 2-year event free survival (EFS) and overall survival (OS) rate was (58±11)% and (89±7)%, respectively. All the 27 patients had response to block 1-3 induction chemotherapy (cisplatin+doxorubicin), with 14 cases (52%) achieving complete response and 13 cases (48%) achieving partial response of lung metastatic lesions, the 2-year EFS rate was (81±12)% and (34±14)%, respectively ( χ 2=6.76, P=0.009), the 2-year OS rate was 100% and (79±13)%, respectively ( χ2=2.12, P=0.145). Patients with caudate lobe tumors or ≥10 pulmonary metastatic nodules had significantly lower EFS rates ( χ2=5.36, 7.84, P=0.021, 0.005, respectively). The incidence of grade 3/4 neutropenia after block 1-3 induction chemotherapy, CD (carboplatin+doxorubicin), and VI (vincristine+irinotecan) consolidation chemotherapy was 90% (73/81), 75% (58/77), and 31% (11/35), respectively. The incidence of grade 3/4 thrombocytopenia was 77% (62/81), 69% (53/77), and 14% (5/35), respectively. The incidence of grade 3/4 infections was 64% (52/81), 25% (19/77), and 20% (7/35), respectively. The differences between the groups were statistically significant ( χ2=43.51, 42.69, 33.00, all P<0.001). Two patients (10%) of the 20 evaluable patients for ototoxicity occurred grade 3 and higher hearing impairment, with 1 patient requiring a hearing aid. Conclusions:The modified SIOPEL-4 regimen shows good preliminary efficacy and safety in treating pediatric HB with lung metastases. The prognosis for patients with residual lesions in the lungs after induction chemotherapy needs to be improved. Attention should be given to the ototoxicity induced by high-dose cisplatin chemotherapy.

Objective:This study aims to develop a laboratory-based predictive model for early neurological deterioration (END) in patients with acute cerebral infarction (ACI) using baseline data collected at hospital admission.Methods:This study was a retrospective cohort study. Clinical and baseline laboratory test data from 502 patients with ACI admitted to the Department of Neurology at our hospital between January 1, 2022 and May 31, 2025. Of these patients, 313 were male and 189 were female, with a median age of 67 years (interquartile range: 58-73). Patients were classified into an END group and a non-END group according to the occurrence of END within 7 days of admission. Subsequently, using the caret package in R (version 4.4.2), the dataset was randomly divided into a training set ( n=351) and a validation set ( n=151) at a 7∶3 ratio, with END status as the stratification variable and a fixed random seed to ensure reproducibility. Following baseline characteristic comparisons between groups, these datasets were used for model development and validation, respectively. The differences in clinical indicators between the two patients groups were assessed using the chi-square test and the Wilcoxon rank sum test. In the training group, Lasso regression was utilized to identify variables significantly associated with END. Seven machine learning algorithms-decision tree (DT), random forest (RF), light gradient boosting machine (LGBM), extreme gradient boosting (XGB), K-nearest neighbors (KNN), support vector machine (SVM), and logistic regression (LR)-were employed to develop predictive models. The optimal hyperparameters were determined via grid search integrated with 5-fold cross-validation. The final algorithm was selected based on comprehensive model performance evaluation. Additionally, clinical data of 79 patients with ACI, collected between June 1 to August 31, 2025, were compiled as an independent test set for external validation. The cohort comprised 49 males and 30 females, with a median age of 68 years (interquartile range: 57-72). The SHapley Additive exPlanations (SHAP) method was employed to access feature importance and model interpretability. SHAP dependence plots and interaction plots were utilized to emplore the nonlinear relationships and interaction effects among the featurevariables. Results:Among the 502 patients, 166 experienced END during 7 days of hospitalization. Lasso regression identified nine significant predictors: history of hyperlipidemia, admission NIHSS score, lymphocyte-to-monocyte ratio (LMR), hemoglobin, D-dimer, albumin, neuron-specific enolase (NSE), homocysteine (HCY), and vitamin B12. The area under the receiver operating characteristic curve (AUC) for the seven machine learning models ranged from 0.709 to 0.946. The XGB model achieved the highest predictive performance, with an AUC of 0.946 (95% CI 0.924-0.960) in the training cohort and 0.867 (95% CI 0.902-0.933) in the validation cohort. SHAP analysis revealed that the top five variables contributing to END prediction were admission NIHSS score, HCY, D-dimer, history of hyperlipidemia, and vitamin B12. Conclusion:This study successfully developed a laboratory-based prediction model for END using the XGB machine learning algorithm, which demonstrated strong predictive performance.

Background Acute cadmium (Cd) exposure can cause damage to multiple tissues, with the kidney being the primary target organ. The development of Cd-induced acute kidney injury involves complex mechanisms, in which autophagy and oxidative stress play crucial roles. Objective To investigate the effect of 10-hydroxy-2-decenoic acid (10-HDA) on kidney injury in mice exposed to cadmium, and provide experimental basis for studying the pathogenesis and prevention of Cd poisoning. Methods Thirty-five male C57BL/6 mice were divided into 7 groups (each of 5 mice): control group (normal saline, intraperitoneal injection), CdCl₂ group (4 mg·kg⁻¹, intraperitoneal injection), intervention groups ( 4 mg·kg⁻¹ CdCl₂, intraperitoneal Injection + 50, 100, 150, or 200 mg·kg⁻¹ 10-HDA, oral gavage), and 10-HDA group (150 mg·kg⁻¹, oral gavage). All treatments were given for 14 d. Twenty-four hours after the last infection, physiological indicators [blood urea nitrogen (BUN), creatinine (CRE), malondialdehyde (MDA), and superoxide dismutase (SOD)], histopathological indicators, autophagy-related proteins (Atg7, Atg5, Beclin-1, and LC3), and mitochondrial autophagy-related proteins (PINK1 and Parkin) were detected to examine the effect of 10-HDA on kidney injury caused by CdCl₂. Results Compared with the control group, the body weight of mice in the CdCl₂ group was significantly reduced (P<0.01); compared with the CdCl₂ group, the body weight of mice after intervention with different concentrations of 10-HDA was significantly increased (P<0.01). CdCl₂ significantly increased BUN and CRE in the serum samples compared with the control group (P<0.01), which was significantly reduced to varying degrees after 100, 150, and 200 mg·kg⁻¹ 10-HDA intervention (P<0.01). MDA significantly increased and SOD significantly decreased in the renal cortex following CdCl₂ administration compared with the control group (P<0.01), which was resolved following 10-HDA administration at different concentrations (P<0.01). In histopathological studies, 10-HDA restored injured kidney tissues induced by CdCl₂. The expression levels of autophagy proteins Atg7 and LC3-II/I were significantly increased (P<0.05), and the expression level of Beclin-1 was significantly decreased (P<0.05) in the CdCl₂ group compared with the control group. The expression levels of Atg7 were reduced to varying degrees after treatment with designed concentrations of 10-HDA, the expression levels of LC3-II/I were also reduced in the 50, 150, and 200 mg·kg⁻¹ 10-HDA intervention groups, and the expression levels of Beclin-1 were increased in the 50, 100, and 150 mg·kg⁻¹ 10-HDA intervention groups (P<0.05). The expression levels of PINK1 and Parkin in the CdCl₂ group and the 50 mg·kg⁻¹ 10-HDA intervention group were lower than those in the control group (P<0.01). Compared with the CdCl₂ group, the expression levels of PINK1 increased to varying degrees after 100, 150, and 200 mg·kg⁻¹ 10-HDA intervention, and the expression levels of Parkin increased in all 10-HDA intervention groups (P<0.01). Conclusion The intervention using 10-HDA can lessen acute kidney injury caused by CdCl₂, reduce the expression of autophagy-related proteins, and increase the expression of mitochondrial autophagy-related proteins.

Due to traditional professional divisions, the practice of endoscopy by gastro-intestinal surgeons in China remains controversial. However, with the evolution of treatment philo-sophies, medical technology, and equipment advancements, a trend of integration between tradi-tional surgery and endoscopy is emerging. Gastrointestinal surgeons performing endoscopy can maxi-mize patient benefits, and they naturally possess advantages in conducting endoscopic procedures. It is recommended to further establish entry thresholds for surgeons to perform endoscopy, provide standardized endoscopic training for surgeons, and coordinate efforts at the administrative depart-ment. With the support of artificial intelligence, more patients can receive minimally invasive, indivi-dualized, and precise treatments.

Screening for diabetes and its complications contributes to slowing the progression of diabetes mellitus. Based on the setting of grass-roots diabetes complication screening workstation with the concept of two stages of screening and three levels of prevention, we proposed a hospital-community-family integrated diabetes management strategy. This article discusses the background, organization structure, operation mechanism and implementation process of this strategy, aiming to provide reference for constructing a suitable and practical grass-roots diabetes management model.

Tumor is a serious threat to human health. At present, surgical resection, chemoradiotherapy, targeted therapy and immunotherapy are the main therapeutic strategies. Monoclonal antibody has gradually become an indispensable drug type in the clinical treatment of cancer due to its high efficiency and low toxicity. Phage antibody library technology (PALT) is a novel monoclonal antibody preparation technique. The recombinant immunoglobulin variable region of heavy chain (VH)/variable region of light chain (VL) gene is integrated into the phage vector, and the antibody is expressed on the phage surface in the form of fusion protein to obtain a diverse antibody library. Through the process of adsorption-elution-amplification, the antibody library can be screened to obtain the antibody molecule with specific binding antigen as well as its gene sequence. PALT has the advantages of short antibody production cycle, strong plasticity of antibody structure, large antibody yield, high diversity and direct production of humanized antibodies. It has been used in screening tumor markers and preparation of antibody drugs for breast cancer, gastric cancer, lung cancer and liver cancer. This article reviews the recent progress and the application of PALT in tumor therapy.
Humans ; Bacteriophages/genetics* ; Immunoglobulin Variable Region/genetics* ; Gene Library ; Antibodies, Monoclonal/therapeutic use* ; Immunotherapy ; Peptide Library

Objective : To study the expression of QSOX1 in osteosarcoma tissues and cells and its role in prolifera- tion，migration and invasion． Methods : Western blot and immunohistochemistry were used to verify the expression of QSOX1 in osteosarcoma tissues and cells，and the cell line MG63 with the highest expression was selected．Slow virus knocked down and selected stable strains shQSOX1 group and shCtrl group．Western blot was used to detect the expression level of QSOX1 protein in MG63 after transfection．CCK-8 assay was used to detect the level of cell proliferation．Scratch test verified the level of cell migration．Transwell test was used to detect the invasion ability of cells ; Western blot was used to detect the mRNA expression level of NF-κB signal pathway in shCtrl group and shQ- SOX1 group. Results : Western blot and immunohistochemistry showed that QSOX1 was low expressed in human osteoblast line hFOB1. 19 and adjacent tissues，but high expressed in osteosarcoma tissue and osteosarcoma cells(P < 0. 001) ．CCK-8 experiment showed that the proliferation ability of shQSOX1 group was inhibited compared with shCtrl group (P＜0. 05) ; In the scratch test，the migration ability of shQSOX1 group decreased (P＜0. 001) ; Transwell proved that the invasive ability of shQSOX1 group was affected (P＜0. 001) ; NF-κB was highly expressed in shCtrl group and low expressed in shQSOX1 group (P＜0. 001) ． Conclusion QSOX1 is highly expressed in osteo- sarcoma．Knockout of QSOX1 gene can inhibit the proliferation，migration and invasion of osteosarcoma．Knockout of QSOX1 makes NF-κB signal pathway is deactivated.