Objective To explore the imaging characteristics of lung cancers associated with cystic airspaces (LCCA) and the effects of different treatment regimens. Methods A retrospective analysis was conducted on the clinical and radiological data of LCCA patients who underwent surgical resection and pathological confirmation at the Department of Thoracic Surgery, the First Affiliated Hospital of Soochow University from 2016 to 2023. The relationship between various radiological classifications and clinical pathology was studied. Based on the postoperative adjuvant treatment follow-up results, the effects of different treatment regimens were analyzed. Results A total of 147 patients were included, including 90 males and 57 females, with a median age of 63 (55, 70) years. There were 21 patients of imaging typeⅠ, 50 patients of typeⅡ, 57 patients of type Ⅲ, and 19 patients of type Ⅳ. The lobulation sign or burr sign of typeⅠcyst walls (P=0.004), and intracystic septa (P=0.030) were more commonly seen in the high-aggressiveness group. The components of the cyst walls or nodules of types Ⅰ-Ⅳ in the high-aggressiveness group were mostly solid or sub-solid (P<0.05). Multivariate logistic regression analysis indicated that subsolid cyst wall (OR=4.734, P=0.023), solid cyst wall (OR=97.972, P<0.001), and the lobulation sign or burr sign of the cyst wall (OR=13.215, P=0.024) were independent risk factors for aggressiveness. Fifty-eight patients received adjuvant therapy after surgery, including 22 in the chemotherapy group, 15 in the targeted therapy group, and 21 in the combined therapy group. The progression-free survival of the combined therapy group was better than the other two groups (P=0.045). Conclusion There is a correlation between the imaging features of LCCA and pathological aggressiveness. Compared to postoperative targeted therapy or chemotherapy alone, postoperative chemotherapy combined with targeted therapy can improve the progression-free survival of LCCA patients.

Objective:To investigate the influencing factors of secondary type 2 diabetes in young obesity patients, and construct and validate a risk prediction model.Methods:The retrospective cohort study was conducted. The clinical data of 847 young obesity patients who were admitted to The First Affiliated Hospital of Nanjing Medical University from January 2022 to July 2024 were collected. There were 382 males and 465 females, aged (29.4±3.8)years. Patients were randomly divided into a training set of 593 cases and a validation set of 254 cases based on a random number table method of 7∶3 ratio. The training set was used to construct the prediction model, and the validation set was used to validate prediction model. Observation indicators: (1) analysis of influencing factors of secondary type 2 diabetes in young obesity patients; (2) construc-tion and validation of a prediction model for secondary type 2 diabetes in young obesity patients. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Univariate analysis was performed using the corresponding statistical methods based on data types. Multivariate analysis was performed using the Logistic regression model, and the area under the curve (AUC) of receiver operating characteristic (ROC) curve, the Hosmer-Lemeshow test, the calibration curve and decision curve were used to evaluate the predictive performance of the model. Results:(1) Analysis of influencing factors of secondary type 2 diabetes in young obesity patients. Of the 847 young obesity patients, there were 238 patients with secondary type 2 diabetes, including 161 cases in the training set and 77 cases in the validation set, 609 patients of simple obesity, including 432 cases in the training set and 177 cases in the validation set. Results of multivariate analysis showed that family history of diabetes, hypertension, high-sugar diet, exercise habits, triglyceride (TG), homeostasis model assessment of insulin resistance (HOMA-IR) and neutrophil-to-lymphocyte ratio (NLR) were independent factors influencing secondary type 2 diabetes in young obesity patients [ odds ratio=9.476, 2.420, 3.219, 0.272, 2.137, 26.759, 41.535, 95% confidence interval ( CI) as 3.242-27.696, 1.159-5.052, 1.525-6.796, 0.117-0.632, 1.019-4.481, 12.907-55.476, 16.085-107.251, P<0.05]. (2) Construction and validation of a prediction model for secondary type 2 diabetes in young obesity patients. A nomogram prediction model for secondary type 2 diabetes in young obesity patients was constructed based on the results of multivariate analysis. Results of ROC curve analysis showed that the AUC of prediction model for the training set was 0.963(95% CI as 0.946-0.980), with sensitivity of 89.6% and specificity of 93.2%, respectively, and the AUC of prediction model for the validation set was 0.966(95% CI as 0.944-0.988), with sensitivity of 92.7% and specificity of 88.3%, respectively. Results of Hosmer-Lemeshow test showed that the P-values for both the training set and validation set were >0.05, indicating good model fit. The calibration curves for both the training set and validation set closely matched the actual curve, demonstrating the prediction model with a good fit. The decision curve analysis showed high practical value of the model. Conclusions:Family history of diabetes, hypertension, high-sugar diet, exercise habits, TG, HOMA-IR and NLR are independent factors influencing secondary type 2 diabetes in young obesity patients. The prediction model constructed based on these factors demons-trates good predictive performance.

Background and Aims:Polycystic ovary syndrome(PCOS)is a common endocrine disorder among obese women,often accompanied by psychological issues such as anxiety and depression.Laparoscopic sleeve gastrectomy(LSG)is an effective treatment for obesity and its related metabolic conditions,and has shown clear benefits in improving weight and metabolic profiles in PCOS patients.However,the potential mechanisms by which psychological status may affect weight loss outcomes remain unclear.This study aimed to evaluate the psychological characteristics of obese patients with PCOS and explore their impact on postoperative weight loss outcomes,in order to provide evidence for individualized intervention strategies.Methods:Female obese patients scheduled for LSG between November 2020 and September 2022 were enrolled and divided into PCOS and non-PCOS groups.Standardized psychological scales were used to assess anxiety,depression,self-esteem,and eating behaviors.Weight loss outcomes were recorded at 6 and 12 months postoperatively.Propensity score matching was used to control for confounding factors such as age and body mass index(BMI),and correlation analysis was conducted to explore the relationship between psychological status and weight loss outcomes.Results:A total of 314 patients were included,with 130 cases(41.4％)in the PCOS group.Before matching,the PCOS group had significantly worse psychological indicators and lower weight loss outcomes compared to the non-PCOS group(all P＜0.05);after matching,these differences were no longer statistically significant(all P＞0.05).Emotional eating was positively correlated with 12-month weight loss outcomes in the PCOS group,while anxiety and internalized weight stigma were associated with weight loss outcomes in the non-PCOS group(P＜0.05).Additionally,among patients with moderate and extreme obesity,weight loss outcomes in the PCOS group were superior to those in the non-PCOS group(P＜0.05).BMI was negatively correlated with self-esteem,eating behaviors,and quality of life(all P＜0.05).Conclusion:Obese patients with PCOS exhibit notable psychological distress.However,after controlling for BMI and age,their psychological status and weight loss outcomes are comparable to those of non-PCOS patients.BMI may serve as an important confounding factor,and psychological factors may influence weight loss indirectly through eating behaviors.Preoperative psychological screening and intervention are recommended.

Objective:To investigate the effects of melatonin(Mel)on inflammatory damage in the retina of rats with oxygen-induced retinopathy(OIR)and the molecular mechanisms.Methods:Healthy neonatal SD rats were di-vided into the sham group(Sham),the model group(OIR),and the melatonin treatment group(OIR+Mel).The OIR model was induced by alternating 50%/10%oxygen concentration exposure for 14 d.The OIR+Mel group was in-jected intraperitoneally with 10 mg-kg-1 melatonin.Hematoxylin-eosin(HE)staining was used to observe the morpho-logical changes in the retinal tissue;immunohistochemical staining was used to detect the expression of retinal cleaved-caspase-1 and IL-1β proteins;and immunofluorescence staining was used to detect the expression of cGAS-STING-NL-RP3 signaling molecules and gasdermin(GSDMD)in the microglia of the retina.Results:HE staining results showed that compared with the Sham group,the retinal cells in the OIR group were disorganized and the thickness of the inner retina was significantly thinner,and the retinal cells in the OIR+Mel group were more neatly arranged compared with those in the OIR group(P<0.05).Immunohistochemical staining results showed that the number of cleaved-caspase-1+and IL-1β+cells in the retina of rats in the OIR group increased significantly compared with that in the Sham group,and the number of cleaved-caspase-1+and IL-1β+cells in the retina of rats in the OIR+Mel group decreased signifi-cantly compared with that of the OIR group(P<0.05).Immunofluorescence staining results showed that the number of cGAS+,STING+and NLRP3+cells in the retina of rats in the OIR group increased significantly compared with that in the Sham group,and the number of cGAS+,STING+and NLRP3+cells in the retina of rats in the OIR+Mel group de-creased significantly compared with that in the OIR group(P<0.05);The number of Iba-1+/N-GSDMD+cells in-creased significantly in the OIR group compared with the Sham group,whereas the number of Iba-1+/N-GSDMD+cells in the OIR+Mel group was significantly less than that in the OIR group,but still more than that in the Sham group(P<0.05).Conclusion:Mel inhibits the pyroptosis of retinal microglia,thus attenuates retinal inflammatory injury in OIR rats,and its mechanism may be related to the cGAS-STING-NLRP3 signaling pathway.

Taking Xiaochaihu Decoction as an example,the application differences of classical prescriptions in modern medical context and Chinese medicine practice are compared and analyzed from the aspects of clinical application scope,understanding of pre-scription connotation,dosage specification,dosage form and decoction method.Strategies to solve the differences in efficacy are pro-posed:integrating the wisdom of classical prescriptions and reshaping the framework of Chinese medicine diagnosis and treatment;transforming the results of modern pharmacology and exploring the principles of classical prescriptions;controlling drug quality stand-ards and exploring new uses and dosages of classical prescriptions;keeping pace with the times in Chinese medicine decoction and strengthening management and control to ensure efficacy.It is believed that combining the essence of Chinese medicine with modern technology can make the application of classical prescriptions maintain traditional characteristics while meeting modern clinical require-ments.This can not only improve the adaptability of classical prescriptions to modern complex diseases,but also provide a reference for the modernization of traditional medicine.

Objective:To evaluate the role of ferroptosis in reduction of intestinal ischemia-reperfusion injury (IRI) by sodium butyrate pretreatment in mice.Methods:Thirty SPF healthy male C57BL/6 mice, aged 6-8 weeks, weighing 20-23 g, were divided into 5 groups ( n=6 each) using a random number table method: sham operation group (S group), intestinal IRI group (IR group), intestinal IRI + sodium butyrate pretreatment group (IN group), intestinal IRI + sodium butyrate pretreatment+ FER-1 group (INF group), and intestinal IRI + sodium butyrate pretreatment + Erastin group (INE group). The intestinal IRI model was established by occluding the superior mesenteric artery for 45 min followed by reperfusion for 30 min in S group. In IN, INF and INE groups, sodium butyrate was administered by gavage at a dose of 500 mg/kg daily at 1 week before developing the model, while the equal volume of normal saline was given by gavage in the other two groups. The ferroptosis inhibitor FER-1 5 mg/kg and ferroptosis agonist Erastin 30 mg/kg were intraperitoneally injected at 1 h prior to ischemia in INF and INE groups. Mice were sacrificed after anesthesia at the end of reperfusion to obtain small intestinal tissues for examination of the pathological changes (using light microscopy) which were scored according to Chiu and for determination of the contents of Fe 2+, malondialdehyde (MDA), glutathione (GSH) and glutathione disulfide(GSSG) (by enzyme-linked immunosorbent assay), expression of glutathione peroxidase 4 (GPX4), solute carrier family 7 member 11 (SLC7A11), and ferritin heavy chain 1 (FTH1) (by Western blot). The ratio of GSH to GSSG was calculated. Results:Compared to S group, Chiu′s scores and contents of MDA and Fe 2+ were significantly increased, the expression of GSH, GPX4, FTH1 and SLC7A11 was down-regulated, and the GSH/GSSG ratio was decreased in IR group ( P<0.001). Compared to IR group, Chiu′s scores and contents of MDA and Fe 2+ were significantly decreased, the expression of GSH, GPX4, FTH1 and SLC7A11 was up-regulated, and the GSH/GSSG ratio was increased in IN and INF groups ( P<0.001). Compared to IN group, Chiu′s scores and contents of MDA and Fe 2+ were significantly increased, the expression of GSH, GPX4, FTH1 and SLC7A11 was down-regulated, and the GSH/GSSG ratio was decreased in INE group ( P<0.001). Conclusions:Ferroptosis is involved in sodium butyrate pretreatment-induced reduction of intestinal I/RI in mice.

Objective:To explore the relationship between insomnia, depression, sense of meaning in life and suicidal behavior among college students.Methods:A cross-sectional survey was conducted among 7 260 college students at a university in Hebei Province from September to November 2024. The insomnia severity index (ISI), patient health questionnaire(PHQ-9), meaning in life questionnaire(MLQ), and suicide behavior questionnaire-revised (SBQ-R) were used for assessment. Structural equation modeling test was conducted by Mplus 8.0 to test the mediating effect of depression and the moderating effect of sense of meaning in life.Results:(1) The scores of insomnia (6.00 (4.00, 8.00)), depression (2.50 (0, 2.00)), and suicidal behavior (4.00 (3.00, 4.00)) were significantly and positively correlated with each other ( r=0.51-0.66, all P<0.01). The sense of meaning in life (47.80 (39.00, 58.00)) was negatively correlated with insomnia, depression, and suicidal behavior ( r=-0.04--0.22, all P<0.01). (2) Insomnia could positively predict suicidal behavior among college students ( β= 0.15, P<0.01). (3) Depression played a partial mediating role between insomnia and suicidal behavior, with a mediating effect value of 0.40 (95% CI= 0.37-0.43), accounting for 72.73%(0.40/0.55) of the total effect. Conclusion:Depression plays a partial mediating role between insomnia and suicidal behavior among college students. The sense of meaning in life can moderate the impact of insomnia on depression and suicidal behavior.

Objective:To investigate the influencing factors of secondary type 2 diabetes in young obesity patients, and construct and validate a risk prediction model.Methods:The retrospective cohort study was conducted. The clinical data of 847 young obesity patients who were admitted to The First Affiliated Hospital of Nanjing Medical University from January 2022 to July 2024 were collected. There were 382 males and 465 females, aged (29.4±3.8)years. Patients were randomly divided into a training set of 593 cases and a validation set of 254 cases based on a random number table method of 7∶3 ratio. The training set was used to construct the prediction model, and the validation set was used to validate prediction model. Observation indicators: (1) analysis of influencing factors of secondary type 2 diabetes in young obesity patients; (2) construc-tion and validation of a prediction model for secondary type 2 diabetes in young obesity patients. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Univariate analysis was performed using the corresponding statistical methods based on data types. Multivariate analysis was performed using the Logistic regression model, and the area under the curve (AUC) of receiver operating characteristic (ROC) curve, the Hosmer-Lemeshow test, the calibration curve and decision curve were used to evaluate the predictive performance of the model. Results:(1) Analysis of influencing factors of secondary type 2 diabetes in young obesity patients. Of the 847 young obesity patients, there were 238 patients with secondary type 2 diabetes, including 161 cases in the training set and 77 cases in the validation set, 609 patients of simple obesity, including 432 cases in the training set and 177 cases in the validation set. Results of multivariate analysis showed that family history of diabetes, hypertension, high-sugar diet, exercise habits, triglyceride (TG), homeostasis model assessment of insulin resistance (HOMA-IR) and neutrophil-to-lymphocyte ratio (NLR) were independent factors influencing secondary type 2 diabetes in young obesity patients [ odds ratio=9.476, 2.420, 3.219, 0.272, 2.137, 26.759, 41.535, 95% confidence interval ( CI) as 3.242-27.696, 1.159-5.052, 1.525-6.796, 0.117-0.632, 1.019-4.481, 12.907-55.476, 16.085-107.251, P<0.05]. (2) Construction and validation of a prediction model for secondary type 2 diabetes in young obesity patients. A nomogram prediction model for secondary type 2 diabetes in young obesity patients was constructed based on the results of multivariate analysis. Results of ROC curve analysis showed that the AUC of prediction model for the training set was 0.963(95% CI as 0.946-0.980), with sensitivity of 89.6% and specificity of 93.2%, respectively, and the AUC of prediction model for the validation set was 0.966(95% CI as 0.944-0.988), with sensitivity of 92.7% and specificity of 88.3%, respectively. Results of Hosmer-Lemeshow test showed that the P-values for both the training set and validation set were >0.05, indicating good model fit. The calibration curves for both the training set and validation set closely matched the actual curve, demonstrating the prediction model with a good fit. The decision curve analysis showed high practical value of the model. Conclusions:Family history of diabetes, hypertension, high-sugar diet, exercise habits, TG, HOMA-IR and NLR are independent factors influencing secondary type 2 diabetes in young obesity patients. The prediction model constructed based on these factors demons-trates good predictive performance.

Objective To develop a gas chromatography-tandem mass spectrometry(GC-MS/MS)method for the simultaneous determination of ephedrine and pseudoephedrine in urine.Methods Urine samples containing ephedrine and pseudoephedrine components were extracted with ethyl acetate,centrifuged to collect the supernatant and evaporated to dryness under a nitrogen stream and then derivatized with heptafluorobutyric anhydride 60 μL at 70 ℃ for 30 min,and re-evaporated under nitrogen,and then solubilized with 50 μL of methanol,and then analyzed by GC-MS/MS.Results The method demonstraed excellent linearity for ephedrine(0.05～10 μg/mL,r=0.999 8)and pseudoephedrine(0.02～5 μg/mL,r=0.999 5).Extraction recoveries ranged from 89.4％～95.8％(ephedrine)and 90.3％～93.8％(pseudoephedrine).Limits of detection and quantification of ephedrine and pseudoephedrine were 0.005 μg/mL and 0.01 μg/mL,the intra-day precision and accuracy were less than 5.87％and 9.56％,respectively,and the inter-day precision and accuracy were less than 7.54％and 9.27％,respectively.The stability of ephedrine and pseudoephedrine in urine in 15 d was good under the conditions of room temperature and-20 ℃.Conclusion The GC-MS/MS analytical method for the analysis of ephedrine and pseudoephedrine components in urine established in this study is accurate,stable and sensitive,which can provide data technical support for the forensic toxicological analysis of amphetamine-type drugs or new psychoactive substances in the cathinone group.

Taking Xiaochaihu Decoction as an example,the application differences of classical prescriptions in modern medical context and Chinese medicine practice are compared and analyzed from the aspects of clinical application scope,understanding of pre-scription connotation,dosage specification,dosage form and decoction method.Strategies to solve the differences in efficacy are pro-posed:integrating the wisdom of classical prescriptions and reshaping the framework of Chinese medicine diagnosis and treatment;transforming the results of modern pharmacology and exploring the principles of classical prescriptions;controlling drug quality stand-ards and exploring new uses and dosages of classical prescriptions;keeping pace with the times in Chinese medicine decoction and strengthening management and control to ensure efficacy.It is believed that combining the essence of Chinese medicine with modern technology can make the application of classical prescriptions maintain traditional characteristics while meeting modern clinical require-ments.This can not only improve the adaptability of classical prescriptions to modern complex diseases,but also provide a reference for the modernization of traditional medicine.