Objective To establish the characteristic atlas of Shexiang Jiegu Capsule and determine the contents of seven active components （hydroxysafflor Yellow A, paeoniflorin, ferulic acid, naringin, ligustilide, catechin, epicatechin）. Methods Octadecyl silane bonded silica gel was used as the filling agent, the mobile phase was composed of methanol-0.05% phosphoric acid by gradient elution, the detection wavelength was 245 nm, flow rate was 1.0 ml/min, column temperature was 30℃. The similarity of the fifteen batches of sample was evaluated in line with the TCM Chromatographic Fingerprint （2012 edition）, and the contents of seven active components were determined. Results The HPLC fingerprint of Shexiang Jiegu Capsules was established. The similarity of fingerprint between fifteen batches of samples and control fingerprint was between 0.893 and 0.992. The results of methodological investigation for the determination of seven active components in fifteen batches of samples all met the requirements. Conclusion The established characteristic atlas of Shexiang Jiegu Capsules had high specificity and good repeatability, which could provide scientific basis for quality control of Shexiang Jiegu Capsules.

Objective To explore the mechanism of Lkb1 regulated epithelial regeneration in asthma by airway organoid culture.Methods Lkb1f/f(the control group,n=10)and Scgb1a1CreER;Lkb1f/fmice(the Lkb1 knockout group,n=9)were taken to establish allergic asthma models by aerosol inhalation of ovalbumin(OVA).Bronchial lavage fluid(BALF)and lung tissue were collected.The number of inflammatory cells in BALF were counted.The amount of CLCA3 positive cells was compared by immunofluorescence staining of lung tissue sections.Club cells were selected by flow cytometry for organoid culture.The average diameter of organoids and organoid formation rate were calculated.Expression levels of goblet cell marker CLCA3,cilia cell markers FOXJ1 and AMPK in Club cells were detected by RT-PCR.Results There were no significant differences in the number of macrophages,eosinophils,neutrophils and lymphocytes in BALF between the control group and the Lkb1 knockout group.The number of CLCA3 positive cells were decreased after Lkb1 knockout.Results of organoid culture showed that the average diameter of organoids derived from Club cells and organoid formation rate were decreased after the absence of Lkb1.The expression of FOXJ1 was reduced.After Lkb1 deletion,the expression of AMPKα in Club cells were decreased and the proliferation of Club cells was inhibited.Activation of AMPK,the downstream signaling pathway of Lkb1,could attenuate the effect of Lkb1 deficiency on the regeneration of Club cells.Conclusion Lkb1 promotes the proliferation of airway progenitor cells by AMPK pathway.

Objective:To develop a prognostic prediction model for patients with colorectal cancer based on a peripheral blood cell composite score (PBCS) system.Methods:This retrospective observational study included patients who had primary colorectal cancer without distant metastasis, who did not undergo radiotherapy or chemotherapy before surgery, who did not receive leukocyte or platelet-raising therapy within 1 month before surgery, and whose postoperative pathology confirmed colorectal adenocarcinoma with complete tumor resection. Patients with severe anemia, infection, or hematologic diseases before surgery, as well as those with severe heart, lung, or other important organ diseases or concurrent malignant tumors, were excluded. In total, 1021 patients with colorectal cancer who underwent surgical treatment in the Department of Gastrointestinal Surgery of the Fourth Hospital of Hebei Medical University from April 2018 to April 2020 were retrospectively included as the training set (766 patients) and the internal validation set (255 patients). Additionally, using the same criteria, 215 patients with colorectal cancer who underwent surgical treatment in another treatment group from March 2015 to December 2020 were selected as the external validation set. The "surv_cutpoint" function in R software was used to analyze the optimal cut-off values of neutrophils, lymphocytes, and platelets, and a PBCS system was established based on the optimal cut-off values. The scoring rules of the PBCS system were as follows: Neutrophils and platelets below the optimal cut-off value = 1 point, otherwise 0 points; Lymphocytes above the optimal cut-off value = 1 point, otherwise 0 points. The scores of the three cell types were added together to obtain the PBCS. Univariate and multivariate Cox regression analyses were performed to explore the correlation between patients' clinicopathological features and prognosis, and a nomogram was constructed based on the Cox regression analysis to predict patients' prognosis. The accuracy of the nomogram prediction model was validated using the C-index, calibration curve, and decision curve analysis.Results:The optimal cut-off values for neutrophils, lymphocytes, and platelets were 4.40×10 9/L, 1.41×10 9/L, and 355×10 9/L, respectively. The patients were divided into high and low groups according to the optimal cut-off values of these cells. Survival curve analysis showed that a high lymphocyte count (training set: P=0.042, internal validation: P=0.010, external validation: P=0.029), low neutrophil count (training set: P=0.035, internal validation: P=0.001, external validation: P=0.024), and low platelet count (training set: P=0.041, internal validation: P=0.030, external validation: P=0.024) were associated with prolonged overall survival (OS), with statistically significant differences in all cases. Survival analysis of different PBCS groups showed that patients with a high PBCS had longer OS than those with a low PBCS ( P<0.05). Univariate and multivariate Cox regression analysis results showed that aspirin use history, vascular thrombus, neural invasion, CA19-9, N stage, operation time, M stage, and PBCS were independent factors affecting OS (all P<0.05). The PBCS was also an independent factor affecting disease-specific survival ( P<0.05), but not progression-free survival ( P>0.05). The above independent risk or protective factors were included in R software to construct a nomogram for predicting OS. The C-index (0.873), calibration curve, and decision curve analysis (threshold probability: 0.0%–75.2%) all indicated that the nomogram prediction model had good predictive performance for OS. Conclusion:This study demonstrates that the PBCS constructed based on preoperative peripheral blood levels of neutrophils, lymphocytes, and platelets is an independent factor associated with the prognosis of patients with colorectal cancer. The nomogram model constructed based on this score system exhibits good predictive efficacy for the prognosis of these patients.

Objective:To establish a general method for the simultaneous determination of hydroxyphenyl esters and quaternary ammonium bacteriostatic agents in eye drops.Methods:The chromatographic analysis was per-formed on an Agilent C18 column(4.6 mm ×250 mm,5 μm)with 1％triethylamine solution(pH adjusted to 5.0 with phosphoric acid)as mobile phase A and methanol as mobile phase B.Gradient elution was performed at col-umn temperature of 40 ℃.The detection wavelength was 214 nm,the flow rate was 1 mL·min-1,and the injec-tion volume was 20 μL.Results:Methylparaben,ethylparaben,propylparaben,butylparaben,benzalkonium chlo-ride and benzalkonium bromide were 0.11-559.0,0.10-513.0,0.10-258.8,0.11-270.5,1.07-537.0 and 1.03-512.8 μg·mL-1,respectively.The linear range was good(r＞0.999).The average recoveries of meth-ylparaben,benzalkonium bromide and benzalkonium chloride were 104.7％(RSD=1.3％),102.6％(RSD=1.1％)and 100.9％(RSD=1.1％),respectively.The contents of bacteriostatic agent in 100 batches of eye drops from 36 varieties of 12 enterprises were determined,and the accurate results were obtained.Conclusion:This meth-od provides a reference for the content quality control and safety evaluation of bacteriostatic agents in eye drops.

Objective:To develop a prognostic prediction model for patients with colorectal cancer based on a peripheral blood cell composite score (PBCS) system.Methods:This retrospective observational study included patients who had primary colorectal cancer without distant metastasis, who did not undergo radiotherapy or chemotherapy before surgery, who did not receive leukocyte or platelet-raising therapy within 1 month before surgery, and whose postoperative pathology confirmed colorectal adenocarcinoma with complete tumor resection. Patients with severe anemia, infection, or hematologic diseases before surgery, as well as those with severe heart, lung, or other important organ diseases or concurrent malignant tumors, were excluded. In total, 1021 patients with colorectal cancer who underwent surgical treatment in the Department of Gastrointestinal Surgery of the Fourth Hospital of Hebei Medical University from April 2018 to April 2020 were retrospectively included as the training set (766 patients) and the internal validation set (255 patients). Additionally, using the same criteria, 215 patients with colorectal cancer who underwent surgical treatment in another treatment group from March 2015 to December 2020 were selected as the external validation set. The "surv_cutpoint" function in R software was used to analyze the optimal cut-off values of neutrophils, lymphocytes, and platelets, and a PBCS system was established based on the optimal cut-off values. The scoring rules of the PBCS system were as follows: Neutrophils and platelets below the optimal cut-off value = 1 point, otherwise 0 points; Lymphocytes above the optimal cut-off value = 1 point, otherwise 0 points. The scores of the three cell types were added together to obtain the PBCS. Univariate and multivariate Cox regression analyses were performed to explore the correlation between patients' clinicopathological features and prognosis, and a nomogram was constructed based on the Cox regression analysis to predict patients' prognosis. The accuracy of the nomogram prediction model was validated using the C-index, calibration curve, and decision curve analysis.Results:The optimal cut-off values for neutrophils, lymphocytes, and platelets were 4.40×10 9/L, 1.41×10 9/L, and 355×10 9/L, respectively. The patients were divided into high and low groups according to the optimal cut-off values of these cells. Survival curve analysis showed that a high lymphocyte count (training set: P=0.042, internal validation: P=0.010, external validation: P=0.029), low neutrophil count (training set: P=0.035, internal validation: P=0.001, external validation: P=0.024), and low platelet count (training set: P=0.041, internal validation: P=0.030, external validation: P=0.024) were associated with prolonged overall survival (OS), with statistically significant differences in all cases. Survival analysis of different PBCS groups showed that patients with a high PBCS had longer OS than those with a low PBCS ( P<0.05). Univariate and multivariate Cox regression analysis results showed that aspirin use history, vascular thrombus, neural invasion, CA19-9, N stage, operation time, M stage, and PBCS were independent factors affecting OS (all P<0.05). The PBCS was also an independent factor affecting disease-specific survival ( P<0.05), but not progression-free survival ( P>0.05). The above independent risk or protective factors were included in R software to construct a nomogram for predicting OS. The C-index (0.873), calibration curve, and decision curve analysis (threshold probability: 0.0%–75.2%) all indicated that the nomogram prediction model had good predictive performance for OS. Conclusion:This study demonstrates that the PBCS constructed based on preoperative peripheral blood levels of neutrophils, lymphocytes, and platelets is an independent factor associated with the prognosis of patients with colorectal cancer. The nomogram model constructed based on this score system exhibits good predictive efficacy for the prognosis of these patients.

BACKGROUND: The effect of intra-operative chemotherapy (IOC) on the long-term survival of patients with colorectal cancer (CRC) remains unclear. In this study, we evaluated the independent effect of intra-operative infusion of 5-fluorouracil in combination with calcium folinate on the survival of CRC patients following radical resection. METHODS: 1820 patients were recruited, and 1263 received IOC and 557 did not. Clinical and demographic data were collected, including overall survival (OS), clinicopathological features, and treatment strategies. Risk factors for IOC-related deaths were identified using multivariate Cox proportional hazards models. A regression model was developed to analyze the independent effects of IOC. RESULTS: Proportional hazard regression analysis showed that IOC (hazard ratio [HR]=0.53, 95% confidence intervals [CI] [0.43, 0.65], P  < 0.001) was a protective factor for the survival of patients. The mean overall survival time in IOC group was 82.50 (95% CI [80.52, 84.49]) months, and 71.21 (95% CI [67.92, 74.50]) months in non-IOC group. The OS in IOC-treated patients were significantly higher than non-IOC-treated patients ( P  < 0.001, log-rank test). Further analysis revealed that IOC decreased the risk of death in patients with CRC in a non-adjusted model (HR=0.53, 95% CI [0.43, 0.65], P  < 0.001), model 2 (adjusted for age and gender, HR=0.52, 95% CI [0.43, 0.64], P  < 0.001), and model 3 (adjusted for all factors, 95% CI 0.71 [0.55, 0.90], P  = 0.006). The subgroup analysis showed that the HR for the effect of IOC on survival was lower in patients with stage II (HR = 0.46, 95% CI [0.31, 0.67]) or III disease (HR=0.59, 95% CI [0.45, 0.76]), regardless of pre-operative radiotherapy (HR=0.55, 95% CI [0.45, 0.68]) or pre-operative chemotherapy (HR=0.54, 95% CI [0.44, 0.66]). CONCLUSIONS: IOC is an independent factor that influences the survival of CRC patients. It improved the OS of patients with stages II and III CRC after radical surgery. TRIAL REGISTRATION chictr.org.cn, ChiCTR 2100043775.
Humans ; Fluorouracil/therapeutic use* ; Leucovorin/therapeutic use* ; Colorectal Neoplasms/pathology* ; Retrospective Studies ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Proportional Hazards Models ; Prognosis

The pathogenesis of stroke is complex, with genetic risk factors as one of the main factors. The genetic variants of phosphodiesterase 4D (PDE4D) was significantly associated with the susceptibility to ischemic stroke (IS) in Caucasian population, but its association with the susceptibility to stroke in Chinese population is unclear. This article is intended to review the research on the association between PDE4D genetic variants and stroke susceptibility in Chinese population, aiming to further optimize the relevant research programs and provide reference for the prevention and treatment of stroke in China.
Humans ; Brain Ischemia/genetics* ; Genetic Predisposition to Disease ; East Asian People ; Cyclic Nucleotide Phosphodiesterases, Type 4/genetics* ; Stroke/genetics* ; Polymorphism, Single Nucleotide ; Risk Factors

Objective: To investigate the current situation of cyberbullying and health risk behaviors among secondary vocational school students, to explore the effects of cyberbullying on health risk behaviors, so as to provide a reference for formulating intervention strategies to promote adolescent health related behaviors. Methods: From March to April 2023, a field survey was conducted on 1 184 students from one secondary vocational school each in Jilin City and Yanji City by random cluster sampling method. The data was analyzed using Chi square tests and generalized linear models. Results: Among secondary vocational school students, 839 individuals (70.9%) experienced the cyberbullying, and 1 036 individuals (87.5%) had one and more health risk behavior group. There was a positive correlation between cyberbullying and health risk behaviors ( r=0.60, P <0.01). The generalized linear model analysis showed that female and no Internet addiction were negatively correlated with the health risk behaviors of secondary vocational students ( β =-2.75, -8.90), and the single parent families and peer pressure was positively correlated with the health behaviors of secondary vocational students ( β =2.56, 4.82)( P ＜0.05). Secondary vocational students experienced cyberbullying who from single parent families, peer pressure and social oriented internet usage were more likely to engage in health risk behaviors ( β= 3.41, 4.88, 2.20, P <0.05). Conclusions The incidence of cyberbullying and health risk behaviors among secondary vocational school students is relatively high, and cyberbullying can influence the occurrence of health risk behaviors. It is important to focus on and implement guidance for internet use and health behavior education for secondary vocational students from multiple perspectives, including the family, school, and society. Corresponding intervention strategies should be taken to promote the healthy development of adolescents.

Patients with local advanced rectal cancer (LARC) can benefit from neoadju-vant chemoradiotherapy (nCRT) of reducing local recurrence rate and improving survival rate. However, tissue edema after nCRT may lead to unclear tissue spaces, making it challenging for lymph node dissection and nervous system protection. The difficulty in locating inferior margin of tumor after clinical complete remission or closing to clinical complete remission, as well as the increasing risk of anastomotic leakage after nCRT, pose difficulties and new challenges of total mesorectal excision for middle and low rectal cancer. Based on literatures and clinical experiences, the authors summarize the difficulties and strategies of total mesorectal excision after nCRT, in order to provide reference for colleagues.

Objective:To analyze clinical characteristics and high-frequency ultrasound features of localized scleroderma, and to construct and validate a non-invasive prediction model for staging of skin lesions based on the high-frequency ultrasound features.Methods:Patients with localized scleroderma were retrospectively collected from the Department of Dermatology and Venereology, Second Xiangya Hospital of Central South University from February 1, 2021 to February 28, 2023, and clinical data as well as high-frequency ultrasound and pathologic features of 85 lesions from these patients were analyzed. Lesions were divided into modeling cohort and validation cohort according to the chronological order of patient enrollment. The univariate analysis and multivariable logistic regression models were used to analyze the independent influential factors in the staging of localized scleroderma lesions in the modeling cohort, construct the regression equation, and to build a nomogram prediction model. The Bootstrap validation method was used for internal validation, and the predictive performance of the nomogram model in the modeling cohort and validation cohort was further evaluated by the calibration curve and receiver operating characteristic (ROC) curve.Results:In the modeling cohort, 60 patients with localized scleroderma, including 16 males and 44 females, were enrolled, with the age [ M ( Q1, Q3) ] being 22.0 (10.0, 39.2) years, and there were 28 lesions in the oedematous phase and 32 lesions in the fibrotic and atrophic phase; in the validation cohort, 25 patients with localized scleroderma, including 8 males and 17 females, were enrolled, with the age being 18.0 (7.0, 30.0) years, and there were 9 lesions in the oedematous phase and 16 lesions in the fibrotic and atrophic phase. Univariate analysis in the modeling cohort showed no significant differences in the age and gender of patients or the location of lesions between the oedematous phase group and the fibrotic and atrophic phase group (all P > 0.05) ; compared with the oedematous phase group, the fibrotic and atrophic phase group showed an increased proportion of patients with disease duration ≥ 2 years (20/32 cases vs. 10/28 cases, χ2 = 4.29, P = 0.038), decreased thicknesses of the subcutaneous fat layer in skin lesions (1.4 [0.0, 26.0] mm vs. 1.8 [0.1, 14.3] mm, Z = -2.14, P = 0.032), increased decrements in the subcutaneous fat layer thickness in the lesional sites compared with non-lesional control sites (1.8 [0.5, 11.0] vs. 0.3 [-1.9, 8.0] mm, Z = -4.72, P < 0.001), increased ratios of the lesional elasticity values to control elasticity values (2.9 [1.8, 6.9] vs. 1.8 [1.1, 5.9], Z = -4.34, P < 0.001), and increased ultrasound-based lesional activity scores (5.0 [3.0, 8.0] points vs. 3.0 [0.0, 5.0] points, Z = -4.76, P < 0.001). Multivariable logistic stepwise regression analysis showed that the disease duration ≥ 2 years ( P = 0.032), increased ratios of the lesional elasticity values to control elasticity values ( P = 0.019), increased ultrasound-based lesional activity scores ( P = 0.013), and increased decrements in the subcutaneous fat layer thickness in the lesions compared with the controls ( P = 0.013) helped to confirm localized scleroderma lesions in the fibrotic and atrophic phase. Based on the results of regression analysis, a total of 4 factors were included in the nomogram prediction model, including the disease duration, the decrement in the subcutaneous fat layer thickness in lesions compared with controls, the ratio of the lesional elasticity values to control elasticity values, and the ultrasound-based lesional activity score; additionally, the constructed logistic regression model formula for predicting the probability (p) of skin lesions in fibrotic and atrophic phase was "ln (p/[1 - p]) = -9.595 + 2.204 × the disease duration + 0.784 × the decrement in the subcutaneous fat layer thickness in the lesions compared with the controls (mm) + 0.887 × the ratio of the lesional elasticity values to control elasticity values + 1.374 × the ultrasound-based lesional activity score". The calibration curve showed a good predictive performance of the model through the Bootstrap validation method, and the ROC curve demonstrated good discrimination and accuracy (modeling cohort: area under the curve = 0.936, 95% CI: 0.879 - 0.994; validation cohort: area under the curve = 0.889, 95% CI: 0.748 - 1.000) . Conclusions:High-frequency ultrasound could provide essential details for staging the localized scleroderma lesions. Based on the disease duration, subcutaneous fat layer thickness, skin elasticity values, and ultrasound-based lesional activity scores, the constructed prediction model could predict the stages of localized scleroderma lesions with excellent discrimination, accuracy, and predictive performance.