Growth arrest DNA damage-inducible protein 45 β (GADD45B) has been reported to be a regulatory factor for active DNA demethylation and is implicated in the modulation of synaptic plasticity and chronic stress-related psychopathological processes. However, its precise role and mechanism of action in stress susceptibility remain elusive. In this study, we found a significant reduction in GADD45B expression specifically in the ventral, but not the dorsal hippocampal CA1 (dCA1) of stress-susceptible mice. Furthermore, we demonstrated that GADD45B negatively regulates susceptibility to social stress and NMDA receptor-dependent long-term potentiation (LTP) in the ventral hippocampal CA1 (vCA1). Importantly, through pharmacological inhibition using the NMDA receptor antagonist MK801, we provided further evidence supporting the hypothesis that GADD45B potentially modulates susceptibility to social stress by influencing NMDA receptor-mediated LTP. Collectively, these results suggested that modulation of NMDA receptor-mediated synaptic plasticity is a pivotal mechanism underlying the regulation of susceptibility to social stress by GADD45B.
Animals ; Receptors, N-Methyl-D-Aspartate/antagonists & inhibitors* ; CA1 Region, Hippocampal/drug effects* ; Male ; Stress, Psychological/physiopathology* ; Mice ; Neuronal Plasticity/drug effects* ; Long-Term Potentiation/drug effects* ; Mice, Inbred C57BL ; Antigens, Differentiation/metabolism* ; Dizocilpine Maleate/pharmacology* ; Excitatory Amino Acid Antagonists/pharmacology* ; GADD45 Proteins

Objective:To construct a risk prediction model for hemorrhagic transformation (HT) in elderly patients with acute cerebral infarction (ACI) complicated by cerebral small vessel disease (CSVD) based on thromboelastography (TEG) and coagulation function indicators.Methods:Clinical data of 120 elderly ACI patients with CSVD admitted to the First Affiliated Hospital of Xi′an Jiaotong University from June 2021 to June 2024 were retrospectively analyzed. Patients were divided into HT group (42 cases) and non-HT group (78 cases) according to the occurrence of HT within 7 days of admission. TEG parameters, coagulation function indicators, and general data were compared between the two groups. Multivariate logistic regression analysis was used to screen the influencing factors of HT, and a nomogram model was constructed accordingly. The receiver operating characteristic (ROC) curve was used to evaluate its predictive efficacy.Results:Compared with the non-HT group, the HT group had significantly longer coagulation reaction time (R), higher 30-minute clot lysis rate (LY30), longer activated partial thromboplastin time (APTT), older age, higher prevalence of diabetes mellitus, higher National Institutes of Health Stroke Scale (NIHSS) score, and larger infarct size, while the fibrinogen (FIB) level was lower (all P<0.05). Multivariate stepwise logistic regression showed that R ( OR=3.295, 95% CI: 1.226-8.848), LY30 ( OR=6.118, 95% CI: 3.111-12.030), FIB ( OR=0.213, 95% CI: 0.085-0.527), NIHSS score ( OR=4.061, 95% CI: 1.431-11.520), and infarct size ( OR=5.314, 95% CI: 2.588-10.909) were independent influencing factors for HT in elderly ACI patients with CSVD (all P<0.05). The C-index of the nomogram model constructed based on the above factors was 0.836, and the calibration curve for predicting HT was close to the ideal curve ( P>0.05). ROC curve analysis showed that the model had a sensitivity of 85.70%, specificity of 83.30%, and area under the curve (AUC) of 0.879 (95% CI: 0.810-0.949, P<0.05) for predicting HT. Conclusions:R, LY30, and FIB levels are influencing factors for HT in elderly ACI patients with CSVD. The nomogram model constructed based on these factors can effectively predict the risk of HT.

Objective To investigate the effect of Pirfenidone(PFN)on respiratory syncytial virus(RSV)infection-induced damage to bronchial epithelial cells by regulating the high mobility group protein B1(HMGB1)/receptor for advanced glycation end products(RAGE)signaling pathway.Methods Human bronchial epithelial cells(HBE)were divided into Control group(cultured for 24 h under normal conditions),RSV group(inoculated with 4.65×106/mL RSV at 33℃for 2 h);low PFN(L-PFN)group(treated with 0.05 mg/mL PFN for 24 h),moderate PFN(M-PFN)group(treated with 0.10 mg/mL PFN for 24 h),high PFN(H-PFN)group(treated with 0.20 mg/mL PFN for 24 h)and recombinant HMGB1(rHMGB1)group(treated with 1 μg/mL rHMGB1+0.20 mg/mL PFN for 24 h).EdU method was applied to detect the proliferation rate of cells in each group,Hochest33258 staining method was applied to detect apoptosis status of cells in each group,and the migration of cells in each group was evaluated by the scratch experiment.Enzyme linked immunosorbent assay(ELISA)was applied to measure the levels of interferon(IFN)-α,IFN-γ,tumor necrosis factor-α(TNF-α),interleukin(IL)-1α,IL-6 and IL-4 in each group of cells,and Western blot was applied to detect the protein expression of HMGB1,RAGE,B lymphoblastoma-2-associated X protein(Bax),cysteine aspartic protease-3(Caspase-3),and B lymphoblastoma-2(Bcl-2).Results Compared with the RSV group,the cell proliferation rate,scratch closure rate,IL-4 levels,and expression of Bcl-2 in L-,M-,and H-PFN groups increased,while the apoptosis rate,the levels of IFN-α,IFN-γ,TNF-α,IL-1α,IL-6,and the expression of HMGB1,RAGE,Bax,and Caspase-3 reduced(P<0.05);rHMGB1 weakened the effect of H-PFN on the above-mentioned indicators(P<0.05).Conclusion PFN may suppress the apoptosis and inflammatory damage of RSV-infected bronchial epithelial cells by inhibiting the HMGB1/RAGE pathway.Conclusion PFN may suppress the apoptosis and inflammatory damage of RSV-infected bronchial epithelial cells by inhibiting the HMGB1/RAGE pathway.

Objective To investigate the effect of Pirfenidone(PFN)on respiratory syncytial virus(RSV)infection-induced damage to bronchial epithelial cells by regulating the high mobility group protein B1(HMGB1)/receptor for advanced glycation end products(RAGE)signaling pathway.Methods Human bronchial epithelial cells(HBE)were divided into Control group(cultured for 24 h under normal conditions),RSV group(inoculated with 4.65×106/mL RSV at 33℃for 2 h);low PFN(L-PFN)group(treated with 0.05 mg/mL PFN for 24 h),moderate PFN(M-PFN)group(treated with 0.10 mg/mL PFN for 24 h),high PFN(H-PFN)group(treated with 0.20 mg/mL PFN for 24 h)and recombinant HMGB1(rHMGB1)group(treated with 1 μg/mL rHMGB1+0.20 mg/mL PFN for 24 h).EdU method was applied to detect the proliferation rate of cells in each group,Hochest33258 staining method was applied to detect apoptosis status of cells in each group,and the migration of cells in each group was evaluated by the scratch experiment.Enzyme linked immunosorbent assay(ELISA)was applied to measure the levels of interferon(IFN)-α,IFN-γ,tumor necrosis factor-α(TNF-α),interleukin(IL)-1α,IL-6 and IL-4 in each group of cells,and Western blot was applied to detect the protein expression of HMGB1,RAGE,B lymphoblastoma-2-associated X protein(Bax),cysteine aspartic protease-3(Caspase-3),and B lymphoblastoma-2(Bcl-2).Results Compared with the RSV group,the cell proliferation rate,scratch closure rate,IL-4 levels,and expression of Bcl-2 in L-,M-,and H-PFN groups increased,while the apoptosis rate,the levels of IFN-α,IFN-γ,TNF-α,IL-1α,IL-6,and the expression of HMGB1,RAGE,Bax,and Caspase-3 reduced(P<0.05);rHMGB1 weakened the effect of H-PFN on the above-mentioned indicators(P<0.05).Conclusion PFN may suppress the apoptosis and inflammatory damage of RSV-infected bronchial epithelial cells by inhibiting the HMGB1/RAGE pathway.Conclusion PFN may suppress the apoptosis and inflammatory damage of RSV-infected bronchial epithelial cells by inhibiting the HMGB1/RAGE pathway.

Objective:To construct a risk prediction model for hemorrhagic transformation (HT) in elderly patients with acute cerebral infarction (ACI) complicated by cerebral small vessel disease (CSVD) based on thromboelastography (TEG) and coagulation function indicators.Methods:Clinical data of 120 elderly ACI patients with CSVD admitted to the First Affiliated Hospital of Xi′an Jiaotong University from June 2021 to June 2024 were retrospectively analyzed. Patients were divided into HT group (42 cases) and non-HT group (78 cases) according to the occurrence of HT within 7 days of admission. TEG parameters, coagulation function indicators, and general data were compared between the two groups. Multivariate logistic regression analysis was used to screen the influencing factors of HT, and a nomogram model was constructed accordingly. The receiver operating characteristic (ROC) curve was used to evaluate its predictive efficacy.Results:Compared with the non-HT group, the HT group had significantly longer coagulation reaction time (R), higher 30-minute clot lysis rate (LY30), longer activated partial thromboplastin time (APTT), older age, higher prevalence of diabetes mellitus, higher National Institutes of Health Stroke Scale (NIHSS) score, and larger infarct size, while the fibrinogen (FIB) level was lower (all P<0.05). Multivariate stepwise logistic regression showed that R ( OR=3.295, 95% CI: 1.226-8.848), LY30 ( OR=6.118, 95% CI: 3.111-12.030), FIB ( OR=0.213, 95% CI: 0.085-0.527), NIHSS score ( OR=4.061, 95% CI: 1.431-11.520), and infarct size ( OR=5.314, 95% CI: 2.588-10.909) were independent influencing factors for HT in elderly ACI patients with CSVD (all P<0.05). The C-index of the nomogram model constructed based on the above factors was 0.836, and the calibration curve for predicting HT was close to the ideal curve ( P>0.05). ROC curve analysis showed that the model had a sensitivity of 85.70%, specificity of 83.30%, and area under the curve (AUC) of 0.879 (95% CI: 0.810-0.949, P<0.05) for predicting HT. Conclusions:R, LY30, and FIB levels are influencing factors for HT in elderly ACI patients with CSVD. The nomogram model constructed based on these factors can effectively predict the risk of HT.

Objective:To investigate the association between congenital hypothyroidism (CH) and the adverse outcomes during hospitalization in very low birth weight infants (VLBWI).Methods:This prospective, multicenter observational cohort study was conducted based on the data from the Sino-northern Neonatal Network (SNN). Data of 5 818 VLBWI with birth weight <1 500 g and gestational age between 24-<37 weeks that were admitted to the 37 neonatal intensive care units from January 1 st, 2019 to December 31 st, 2022 were collected and analyzed. Thyroid function was first screened at 7 to 10 days after birth, followed by weekly tests within the first 4 weeks, and retested at 36 weeks of corrected gestational age or before discharge. The VLBWI were assigned to the CH group or non-CH group. Chi-square test, Fisher exact probability method, Wilcoxon rank sum test, univariate and multivariate Logistic regression were used to analyze the relationship between CH and poor prognosis during hospitalization in VLBWI. Results:A total of 5 818 eligible VLBWI were enrolled, with 2 982 (51.3%) males and the gestational age of 30 (29, 31) weeks. The incidence of CH was 5.5% (319 VLBWI). Among the CH group, only 121 VLBWI (37.9%) were diagnosed at the first screening. Univariate Logistic regression analysis showed that CH was associated with increased incidence of extrauterine growth retardation (EUGR) ( OR=1.31(1.04-1.64), P<0.05) and retinopathy of prematurity (ROP) of stage Ⅲ and above ( OR=1.74(1.11-2.75), P<0.05). However, multivariate Logistic regression analysis showed no significant correlation between CH and EUGR, moderate to severe bronchopulmonary dysplasia, grade Ⅲ to Ⅳ intraventricular hemorrhage, neonatal necrotizing enterocolitis in stage Ⅱ or above, and ROP in stage Ⅲ or above ( OR=1.04 (0.81-1.33), 0.79 (0.54-1.15), 1.15 (0.58-2.26), 1.43 (0.81-2.53), 1.12 (0.70-1.80), all P>0.05). Conclusion:There is no significant correlation between CH and in-hospital adverse outcomes, possibly due to timely diagnosis and active replacement therapy.

Methods: The study included patients who underwent LIF. The demographic characteristics and radiographic and surgical data were collected and evaluated. The included patients were divided into control group and FJOA group based on the preoperative adjacent facet joint Pathria grade. Preoperative and last follow-up LBP Visual Analog Scale (VAS) score, leg pain (LP) VAS, Oswestry Disability Index (ODI) and RASD were evaluated and compared. The improvement rates in VAS and ODI were calculated and compared between the two groups. Logistic regression was used to analyze the risk factors of LBP relief and incidence of RASD. Results: In total, 197 patients (control group, 86; FJOA group, 111) were included, and the median follow-up was 46 months. The VAS and ODI in both groups significantly improved after surgery. At the last follow-up, the FJOA group had higher VAS and lower VAS improvement rates of LBP than the control group (p<0.05). However, no significant difference in the LP VAS and ODI was found between the two groups. The incidence of RASD in the FJOA group was significantly higher than that in the control group (48.6% vs. 30.2%, p=0.034). Multivariate logistic regression analysis showed that preoperative adjacent FJOA was significantly associated with LBP relief (odds ratio [OR], 0.691; 95% confidence interval [CI], 0.498–0.958) and the postoperative incidence of RASD (OR, 1.406; 95% CI, 1.020–1.939). Conclusions The preoperative FJOA in the adjacent segments was significantly associated with LBP following LIF. Patients with preoperative FJOA were more likely to have RASD following lumbar fusion surgery.

Objective:To construct a diabetic foot classification prediction model based on radiomics features of fundus photographs.Methods:A total of 2 035 fundus photographs of patients with type 2 diabetes diagnosed at Nanfang Hospital between December 2011 and December 2018 were retrospectively collected [282 photographs from patients with diabetic foot(DF), and 1 753 from patients with diabetes mellitus(DM)]. All fundus photographs were randomly divided into a training set(1 424 photos) and a test set(611 photos) using a computer generated random number at 7∶3. After pre-processing the fundus photographs, a total of 4 128 texture features based on the gray matrix were extracted by the Radiomic toolkit, and 11 339 other features were extracted using the ToolboxDESC toolkit. The LASSO algorithm was used to select the 30 features most relevant to DF, and then the Bootstrap + 0.632 self-sampling method was used to further select the 7 best combinations. Logistic regression analysis was used to obtain the regression coefficients and establish the final diabetic foot classification prediction model. ROC curve was drawn, and AUC, sensitivity, specificity, and accuracy of the training and test sets were calculated to verify its prediction performance. Results:We screened 7 fundus radiomics markers for diabetic foot patients, and based on this established a DF/DM classification prediction model. The AUC, sensitivity, specificity, and accuracy of the model were 0.958 6, 0.984 0, 0.920 0, and 0.928 0 in the training set, and 0.927 1, 0.988 9, 0.881 0, and 0.896 9 in the test set, respectively.Conclusion:In this study, seven DF fundus markers were screened using radiomics technology. Based on this, a highly accurate and easy-to-use DF/DM classification model was constructed. This technology has the potential to increase the efficiency of DF screening programs.

Objective    To compare the clinical effect of single mediastinal drainage tube and both mediastinal drainage tube and closed thoracic drainage tube for the patients who received thoracoscopic radical resection of esophageal carcinoma. Methods    We enrolled 96 esophageal carcinoma patients who received thoracoscopic radical resection from June 2016 to October 2018. Of them, 49 patients were indwelt with both mediastinal drainage tube and closed thoracic drainage tube (a chest & mediastinal drainage group, a CMD group) while the other 47 patients were indwelt with single mediastinal drainage tube (a single mediastinal drainage group, a SMD group). The total drainage volume, intubation time and incidence of postoperative complications (postoperative atelectasis, pulmonary infection, pleural effusion and anastomotic leakage) between the two groups were compared. The pain score and comfort score were also compared between the two groups. Results    The total drainage volume and intubation time in the SMD group were not significantly different from those in the CMD group (1 321±421 mL vs. 1 204±545 mL, P=0.541; 6.1±3.7 d vs. 6.4 ±5.1 d, P=0.321). The incidence of postoperative complications (postoperative atelectasis, pulmonary infection, pleural effusion and anastomotic leakage) in the SMD group was not significantly different from that in the CMD group (10.6% vs. 6.1%, P=0.712; 4.3% vs. 10.2%, P=0.656; 6.4% vs. 12.2%, P=0.121; 2.1% vs. 4.1%, P=0.526). The numerical rating scale (NRS) pain  scores on the first to the fifth day after surgery and during extubation in the SMD group were significantly lower than those in the CMD group (3.2±2.1 vs. 5.1±2.4, P=0.041; 2.8±0.6 vs. 4.8±1.4, P=0.015; 2.1±0.4 vs. 4.5±0.4, P=0.019; 1.7±0.7 vs. 4.0±0.8, P=0.004; 1.8±0.7 vs. 3.2±1.2, P=0.006; 1.4±0.2 vs. 2.5±3.4, P=0.012). The VAS comfort scores in the SMD group were significantly lower than those in the CMD group (3.6±1.7 vs. 6.6±3.7, P=0.018; 2.9±2.0 vs. 5.1±3.4, P=0.007; 2.1±1.4 vs. 5.5±2.4, P=0.004; 3.0±0.9 vs. 4.6±3.8, P=0.012; 1.8±1.1 vs. 4.2±2.7, P=0.003; 2.4±3.2 vs. 5.3±1.7, P=0.020). Conclusion    The clinical effect of single mediastinal drainage tube in thoracoscopic resection of esophageal carcinoma is similar to that of both mediastinal drainage tube and closed thoracic drainage tube, but it can significantly improve the comfort of the patients.

Based on the social background of increasingly serious aging of the population and the growth of chronic diseases,the paper introduces the mode of Connected Health (cHealth),analyzes the differences between cHealth and Mobile Health (mHealth) as well as the advantages of cHealth,introduces the application of cHealth in contemporary society,and discusses the challenges of cHealth,including the optimization of sensing strategy,creation of data integration,analysis on the new mode,optimization of feedback strategy and development of new health insurance modes.