[This corrects the article DOI: 10.1016/j.apsb.2019.01.013.].

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To investigate the effect of ventilation with different tidal volumes on respiratory mechanics and haemodynamics in children with severe pneumonia.Methods A total of 104 children with severe pneumonia were divided into the control group and the observation group using a random number table method,with 52 cases in each group.Both groups underwent mechanical ventilation treatment.The control group was treated with conventional tidal volume of 10-12 mL/kg,while the observation group was given a low tidal volume of 6-8 mL/kg.The respiratory mechanics indicators,hemodynamic indicators and inflammatory factor indicators before and after treatment were compared between the two groups.Results After treatment,the airway resistance(AR)and airway closing pressure(AOP)were lower in the observation group than those of the control group(P＜0.05),and pulmonary dynamic compliance(Cdyn)was higher in the observation group than that of the control group(P＜0.05).There were no significant differences in heart rate(HR),mean arterial pressure(MAP)and central venous pressure(CVP)after treatment between the two groups(P＜0.05).After treatment,the levels of interleukin(IL)-6,IL-8 and tumor necrosis factor-α(TNF-α)were all lower in the observation group than those in the control group(P＜0.05).Conclusion Small tidal volume mechanical ventilation is effective in improving the respiratory mechanics of children with severe pneumonia without causing large fluctuations in their hemodynamics.At the same time,it can reduce the level of inflammatory factors in the organism.

Objective To analyze the risk factors associated with intraoperative parathyroid injury during thyroid cancer surgery and develop a predictive model to evaluate its predictive efficacy.Methods A retrospective study was conducted involving 76 patients who experienced intraoperative parathyroid injury during thyroid cancer surgery between May 2021 and February 2024.These patients were included in the parathyroid injury group.For the control group,76 patients who underwent thyroid cancer surgery without intraoperative parathyroid injury during the same period were selected.Clinical data,complete blood count parameters,and other relevant variables were collected.Univariate analysis was performed to screen for potential risk factors,and Logistic regression analysis was used to identify independent risk factors.A regression predictive model was established,and the model's goodness-of-fit and predictive power were evaluated.Results Among the 76 patients,75 had temporary parathyroid function impairment and 1 had permanent parathyroid function impairment.Univariate and multivariate Logistic regression analyses showed that bilateral lymph node dissection,bilateral total lobectomy,capsule invasion,and combined hashimoto's thyroiditis were independent risk factors(P＜0.05).A predictive regression model was developed based on these factors.The Hosmer-Lemeshow test showed a x2=2.064,P=0.356,indicating good model fit.The receiver operating characteristic(ROC)curve revealed that the model had an area under the curve(AUC)of 0.713,with a 95％confidence interval(CI)of 0.639 to 0.787,suggesting good predictive efficacy.Conclusion Hashimoto's thyroiditis,capsular invasion,bilateral lymph node dissection,and bilateral total lobectomy are significant risk factors for intraoperative parathyroid injury during thyroid cancer surgery.The predictive model constructed based on these factors has good predictive efficacy.

Objective To investigate the effect of ventilation with different tidal volumes on respiratory mechanics and haemodynamics in children with severe pneumonia.Methods A total of 104 children with severe pneumonia were divided into the control group and the observation group using a random number table method,with 52 cases in each group.Both groups underwent mechanical ventilation treatment.The control group was treated with conventional tidal volume of 10-12 mL/kg,while the observation group was given a low tidal volume of 6-8 mL/kg.The respiratory mechanics indicators,hemodynamic indicators and inflammatory factor indicators before and after treatment were compared between the two groups.Results After treatment,the airway resistance(AR)and airway closing pressure(AOP)were lower in the observation group than those of the control group(P＜0.05),and pulmonary dynamic compliance(Cdyn)was higher in the observation group than that of the control group(P＜0.05).There were no significant differences in heart rate(HR),mean arterial pressure(MAP)and central venous pressure(CVP)after treatment between the two groups(P＜0.05).After treatment,the levels of interleukin(IL)-6,IL-8 and tumor necrosis factor-α(TNF-α)were all lower in the observation group than those in the control group(P＜0.05).Conclusion Small tidal volume mechanical ventilation is effective in improving the respiratory mechanics of children with severe pneumonia without causing large fluctuations in their hemodynamics.At the same time,it can reduce the level of inflammatory factors in the organism.

Objective To analyze the risk factors associated with intraoperative parathyroid injury during thyroid cancer surgery and develop a predictive model to evaluate its predictive efficacy.Methods A retrospective study was conducted involving 76 patients who experienced intraoperative parathyroid injury during thyroid cancer surgery between May 2021 and February 2024.These patients were included in the parathyroid injury group.For the control group,76 patients who underwent thyroid cancer surgery without intraoperative parathyroid injury during the same period were selected.Clinical data,complete blood count parameters,and other relevant variables were collected.Univariate analysis was performed to screen for potential risk factors,and Logistic regression analysis was used to identify independent risk factors.A regression predictive model was established,and the model's goodness-of-fit and predictive power were evaluated.Results Among the 76 patients,75 had temporary parathyroid function impairment and 1 had permanent parathyroid function impairment.Univariate and multivariate Logistic regression analyses showed that bilateral lymph node dissection,bilateral total lobectomy,capsule invasion,and combined hashimoto's thyroiditis were independent risk factors(P＜0.05).A predictive regression model was developed based on these factors.The Hosmer-Lemeshow test showed a x2=2.064,P=0.356,indicating good model fit.The receiver operating characteristic(ROC)curve revealed that the model had an area under the curve(AUC)of 0.713,with a 95％confidence interval(CI)of 0.639 to 0.787,suggesting good predictive efficacy.Conclusion Hashimoto's thyroiditis,capsular invasion,bilateral lymph node dissection,and bilateral total lobectomy are significant risk factors for intraoperative parathyroid injury during thyroid cancer surgery.The predictive model constructed based on these factors has good predictive efficacy.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To study the effect of silencing ubiquitin-conjugating enzyme 2C(UBE2C)on the proliferative capacity of human breast cancer cells MCF-7 and to preliminarily investigate its mechanism of action.Methods Silencing of UBE2C gene in MCF-7 cells using small interfering RNA(si-RNA).CCK-8 assay and clone formation assay were used to detect cell proliferation a-bility.The expression of cell cycle-associated protein kinase inhibitor protein p21 as well as cell cycle-promoting proteins CyclinD1,cyclin-dependent kinase 4(CDK4),and cyclin-dependent kinase 6(CDK6)were detected by real-time quantitative polymerase chain reaction(RT-qPCR)and Western blot at the mRNA and protein levels,respectively.Results Compared with the cells in blank control group and negative control(si-NC)group,the expression of UBE2C was down-regulated in cells of si-UBE2C group.The re-sults of CCK-8 assay and clone formation assay showed that the proliferative ability of cells in si-UBE2C group was significantly de-creased.Compared with the cells in blank control group and si-NC group,the expression of cell cycle-related protein kinase inhibitor protein p21 in the cells of si-UBE2C group was up-regulated at both the mRNA and protein levels,while the expression of cell cycle-promoting proteins CyclinD1,CDK4 and CDK6 was down-regulated at both the mRNA and protein levels.Conclusion UBE2C can reg-ulate the proliferative capacity of MCF-7 cells and promote breast cancer progression by mediating the expression of CyclinD1/CDK4/CDK6 complex and p21.

Quantitative analysis of UL35 and gB genes at different time points after PRV infection showed that there were significant differences between the two at 2.5,5.0 and 20.0 h after infec-tion,and the expression of UL35 gene could be observed in the early stage of PRV infection.To de-termine whether the UL 35 gene can be used as a target for the diagnosis of PRV infection,a spe-cific primer pair was designed and synthesized according to the conserved sequence of the UL35 gene of different PRV strains,and used to amplify a fragment of 54 bp in length.After optimizing the reaction conditions and system,the standard curve for the established by SYBR Green Ⅰ real-time PCR detection method showed that it had good repeatability,specificity and a good linear rela-tionship to the template concentration.No amplifications for porcine reproductive and respiratory syndrome virus(PRRSV),classical swine fever virus(CSFV),and African swine fever virus(AS-FV)were detected.Compared with the existing similar methods,the established method showed no difference in sensitivity.The coefficient of variation of inter-and intra-group repeatability for the method was less than 2％.Detection of the samples in mice challenged with PRV revealed a certain amount of viral load in tissue.The results showed that UL35 gene can be used as a target for the diagnosis of PRV infection.