Objective:To investigate the impact of body composition and inflammatory nutritional indicators on postoperative complications in patients with obstructive colorectal cancer,and to develop and validate a nomogram model.Methods:This is a retrospective case series study. The clinical data of 293 patients with obstructive colorectal cancer who were treated at the Department of Gastrointestinal Surgery,the Affiliated Hospital of Qingdao University,between January 2016 and January 2024,were retrospectively collected. The cohort included 182 males and 111 females,aged (65.0±12.1) years (range: 18 to 80 years). The dataset was randomly divided into a training group ( n=196) and a validation group ( n=97) with a 7∶3 ratio. Independent sample t test and multivariate logistic regression analysis were employed to identify independent risk factors associated with postoperative complications in patients with obstructive colorectal cancer. A preoperative nomogram model was subsequently developed for predicting postoperative complications,which was further validated using a validation cohort. Results:The training group comprised 119 males and 77 females,with 68 cases experiencing postoperative complications and 128 cases without complications. The validation group included 63 males and 34 females,with 30 cases experiencing postoperative complications and 67 cases without complications.Univariate analysis and multivariate analysis revealed that low skeletal muscle index ( OR=0.867,95% CI: 0.795 to 0.947),high visceral fat index ( OR=1.058,95% CI: 1.028 to 1.089),high systemic immune inflammation index ( OR=1.002, 95% CI: 1.000 to 1.003), low prognostic nutritional index ( OR=0.847,95% CI: 0.782 to 0.917),and preoperative anemia ( OR=2.714,95% CI: 1.161 to 6.344) were independent risk factors for postoperative complications (all P<0.05). A nomogram prediction model based on these five indicators was established. The area under the receiver operating characteristic (ROC) curve for the prediction model was 0.878 (95% CI: 0.829 to 0.928) in the training group and 0.849 (95% CI:0.767 to 0.930) in the validation group. Conclusions:The preoperative nomogram model,which incorporates inflammatory and nutritional indicators,demonstrates a good accuracy in predicting postoperative complications for patients with obstructive colorectal cancer. This model can effectively assist in guiding treatment decisions.

Background and Purpose:Previous studies have investigated the prognostic significance of skeletal muscle and adipose tissue composition and distribution in colorectal cancer patients,yet most have not differentiated between rectal and colon cancer patient cohorts.This study aimed to explore the relationship between body composition and long-term prognosis,and to develop a postoperative predictive model.Methods:Clinical data of rectal cancer patients who underwent surgical treatment at Qingdao University Affiliated Hospital from January 2018 to December 2021 were retrospectively collected.Inclusion criteria:①Age＞18 years;② Preoperative colonoscopy and pathological diagnosis of colorectal cancer;③ Complete surgical resection;④Abdominal computed tomography(CT)scan 1 month before surgery.Exclusion criteria:① Clinical data is missing;② Multiple metastases of tumors;③ Tumor T stage 0 or carcinoma in situ;④ Severe artifacts lead to poor quality CT imaging,making it difficult to distinguish between fat and muscle;⑤ Inability to obtain follow-up results.This study has been approved by the Medical Ethics Committee of the Affiliated Hospital of Qingdao University(approval number:QYFYWZLL30313),and informed consent has been waived in the ethical approval process.The skeletal muscle index(SMI)and subcutaneous adipose tissue index(SATI)were calculated by dividing the areas of skeletal muscle and subcutaneous fat observed on CT scans by the square of the patient's height.Univariate and multivariate COX regression analyses were conducted to identify risk factors influencing recurrence-free survival(RFS)and overall survival(OS)in rectal cancer patients.Based on the results of the multivariate analysis,a nomogram prediction model was developed,its predictive power and accuracy were assessed using the receiver operating characteristic(ROC)curve,calibration plots and decision curve analysis(DCA),and internal validation was conducted.Results:A total of 696 patients were included in this study,with 96(13.8%)patients experiencing postoperative recurrence and 89(12.8%)patients dying.Multivariate COX regression analysis showed that SMI,SATI,tumor T stage and N stage were independent factors affecting the postoperative RFS and OS of patients.Nomogram prediction models for RFS and OS in rectal cancer patients were constructed based on the above independent predictors.The area under ROC curve(AUC)for 3-,4-and 5-year RFS was 0.862,0.846 and 0.824,respectively;the AUC for 3-,4-and 5-year OS was 0.886,0.898 and 0.875,respectively.The models were evaluated using calibration curves and decision curves,and internal validation was performed,which showed that the prediction accuracy of the models was good.Conclusion:CT body composition is an independent predictor of RFS and OS in rectal cancer patients,and the nomogram model developed based on these factors demonstrates good predictive value for patient prognosis.

Background and Purpose:Previous studies have investigated the prognostic significance of skeletal muscle and adipose tissue composition and distribution in colorectal cancer patients,yet most have not differentiated between rectal and colon cancer patient cohorts.This study aimed to explore the relationship between body composition and long-term prognosis,and to develop a postoperative predictive model.Methods:Clinical data of rectal cancer patients who underwent surgical treatment at Qingdao University Affiliated Hospital from January 2018 to December 2021 were retrospectively collected.Inclusion criteria:①Age＞18 years;② Preoperative colonoscopy and pathological diagnosis of colorectal cancer;③ Complete surgical resection;④Abdominal computed tomography(CT)scan 1 month before surgery.Exclusion criteria:① Clinical data is missing;② Multiple metastases of tumors;③ Tumor T stage 0 or carcinoma in situ;④ Severe artifacts lead to poor quality CT imaging,making it difficult to distinguish between fat and muscle;⑤ Inability to obtain follow-up results.This study has been approved by the Medical Ethics Committee of the Affiliated Hospital of Qingdao University(approval number:QYFYWZLL30313),and informed consent has been waived in the ethical approval process.The skeletal muscle index(SMI)and subcutaneous adipose tissue index(SATI)were calculated by dividing the areas of skeletal muscle and subcutaneous fat observed on CT scans by the square of the patient's height.Univariate and multivariate COX regression analyses were conducted to identify risk factors influencing recurrence-free survival(RFS)and overall survival(OS)in rectal cancer patients.Based on the results of the multivariate analysis,a nomogram prediction model was developed,its predictive power and accuracy were assessed using the receiver operating characteristic(ROC)curve,calibration plots and decision curve analysis(DCA),and internal validation was conducted.Results:A total of 696 patients were included in this study,with 96(13.8%)patients experiencing postoperative recurrence and 89(12.8%)patients dying.Multivariate COX regression analysis showed that SMI,SATI,tumor T stage and N stage were independent factors affecting the postoperative RFS and OS of patients.Nomogram prediction models for RFS and OS in rectal cancer patients were constructed based on the above independent predictors.The area under ROC curve(AUC)for 3-,4-and 5-year RFS was 0.862,0.846 and 0.824,respectively;the AUC for 3-,4-and 5-year OS was 0.886,0.898 and 0.875,respectively.The models were evaluated using calibration curves and decision curves,and internal validation was performed,which showed that the prediction accuracy of the models was good.Conclusion:CT body composition is an independent predictor of RFS and OS in rectal cancer patients,and the nomogram model developed based on these factors demonstrates good predictive value for patient prognosis.

Objective:To investigate the impact of body composition and inflammatory nutritional indicators on postoperative complications in patients with obstructive colorectal cancer,and to develop and validate a nomogram model.Methods:This is a retrospective case series study. The clinical data of 293 patients with obstructive colorectal cancer who were treated at the Department of Gastrointestinal Surgery,the Affiliated Hospital of Qingdao University,between January 2016 and January 2024,were retrospectively collected. The cohort included 182 males and 111 females,aged (65.0±12.1) years (range: 18 to 80 years). The dataset was randomly divided into a training group ( n=196) and a validation group ( n=97) with a 7∶3 ratio. Independent sample t test and multivariate logistic regression analysis were employed to identify independent risk factors associated with postoperative complications in patients with obstructive colorectal cancer. A preoperative nomogram model was subsequently developed for predicting postoperative complications,which was further validated using a validation cohort. Results:The training group comprised 119 males and 77 females,with 68 cases experiencing postoperative complications and 128 cases without complications. The validation group included 63 males and 34 females,with 30 cases experiencing postoperative complications and 67 cases without complications.Univariate analysis and multivariate analysis revealed that low skeletal muscle index ( OR=0.867,95% CI: 0.795 to 0.947),high visceral fat index ( OR=1.058,95% CI: 1.028 to 1.089),high systemic immune inflammation index ( OR=1.002, 95% CI: 1.000 to 1.003), low prognostic nutritional index ( OR=0.847,95% CI: 0.782 to 0.917),and preoperative anemia ( OR=2.714,95% CI: 1.161 to 6.344) were independent risk factors for postoperative complications (all P<0.05). A nomogram prediction model based on these five indicators was established. The area under the receiver operating characteristic (ROC) curve for the prediction model was 0.878 (95% CI: 0.829 to 0.928) in the training group and 0.849 (95% CI:0.767 to 0.930) in the validation group. Conclusions:The preoperative nomogram model,which incorporates inflammatory and nutritional indicators,demonstrates a good accuracy in predicting postoperative complications for patients with obstructive colorectal cancer. This model can effectively assist in guiding treatment decisions.

Objective To observe the effect of Buyang Huanwu Decoction on hippocampal tissue structure and blood perfusion in rats with focal cerebral ischemia using multi-modal MRI;To analyze the mechanism of Buyang Huanwu Decoction on hippocampal neuroplasticity combined with the expression changes of neuroplasticity proteins and glucose metabolism related transporters.Methods Focal cerebral ischemia rat model induced by right middle cerebral artery occlusion were established.The rats were divided into sham-operation group,sham-operation+Buyang Huanwu Decoction group,model group and model+Buyang Huanwu Decoction group.The rats in the sham-operation group and model group were given normal saline for 30 days,and those in the sham-operation+Buyang Huanwu Decoction group and model+Buyang Huanwu Decoction group were given Buyang Huanwu Decoction for 30 days.T2 mapping imaging was used to detect the changes in hippocampal tissue structure,the changes of cerebral blood perfusion in hippocampus were detected by arterial spin labeling imaging,Western blot was used to detect the protein expressions of SYN,GAP-43,glucose transporters and MCT.Results Compared with the sham-operation group,the T2 relaxation time of the right and left hippocampus in the model group rats significantly increased(P<0.01,P<0.001),the blood flow in the right hippocampus was significantly reduced(P<0.05),the protein expressions of SYN,GAP-43,MCT4 and MCT2 in the right hippocampus were significantly decreased(P<0.01,P<0.001),the protein expressions of GLUT1 and GLUT3 in bilateral hippocappal tissue significantly decreased(P<0.05,P<0.01,P<0.001).Compared with the model group,the T2 relaxation time in the right hippocampus of rats in model+Buyang Huanwu Decoction group was significantly reduced(P<0.05),the blood flow in the right hippocampus significantly increased(P<0.05),the protein expressions of SYN,GAP-43,GLUT1 and GLUT3 in bilateral hippocampal tissues significantly increased(P<0.01,P<0.001),and the protein expressions of MCT4 and MCT2 in right hippocampal tissue significantly increased(P<0.01,P<0.001).Conclusion Buyang Huanwu Decoction can alleviate hippocampal injury in rats with focal cerebral ischemia,which may be related to improving blood perfusion,up-regulating neuroplasticity-related proteins,promoting hippocampal axon regeneration and synaptic remodeling,regulating energy metabolism of nerve cells.

Objective To investigate the effect of transcranial alternating current stimulation(tACS)on cerebral blood flow(CBF)in patients with Alzheimer's disease(AD).Methods A ret-rospective study was conducted on 21 mild AD patients admitted in our hospital from September 2019 to April 2022.All of them received tACS treatment for 3 weeks.Mini-mental state examina-tion(MMSE),auditory verbal learning test(AVLT)and MRI were applied to obtain the data at baseline(T0),the end of the treatment(T1)and in three months after treatment(T2).Z-trans-form CBF(zCBF)was performed to reduce individual variability.The changes in MMSE and AVLT scores,as well as brain zCBF and CBF values before and after tACS treatment were ana-lyzed.Spearman correlation analysis was used to examine the relationship of zCBF and CBF with cognitive scores.Results In the AD patients,their MMSE score was significantly increased at T1 than at T0[22.00(20.00,25.00)vs 20.00(18.00,21.50),P＜0.01].Based on voxel analysis,the AD patients exhibited significantly increased zCBF in the bilateral frontal and temporal cortex at T1,and in the right frontal and temporal cortex at T2 when compared with the levels at T0(P＜0.05).The most pronounced increase in zCBF was observed in the right insular.Based on region of inter-est analysis,increased zCBF and CBF in the right frontal and temporal cortex at T1 were observed(P＜0.05).There was a positive correlation between the change of CBF in the right frontal cortex and AVLT-recognition recall at T1(r=0.617,P=0.005)and between the change of CBF in the left frontal cortex and MMSE at T2(r=0.596,P=0.012).Conclusion MRI 3D-ASL can objec-tively evaluate the changes of CBF in AD patients after tACS treatment,and it provides a reliable imaging marker for evaluating the efficacy of tACS.

Type 2 diabetes (T2D) is often accompanied with an induction of retinaldehyde dehydrogenase 1 (RALDH1 or ALDH1A1) expression and a consequent decrease in hepatic retinaldehyde (Rald) levels. However, the role of hepatic Rald deficiency in T2D progression remains unclear. In this study, we demonstrated that reversing T2D-mediated hepatic Rald deficiency by Rald or citral treatments, or liver-specific Raldh1 silencing substantially lowered fasting glycemia levels, inhibited hepatic glucogenesis, and downregulated phosphoenolpyruvate carboxykinase 1 (PCK1) and glucose-6-phosphatase (G6PC) expression in diabetic db/db mice. Fasting glycemia and Pck1/G6pc mRNA expression levels were strongly negatively correlated with hepatic Rald levels, indicating the involvement of hepatic Rald depletion in T2D deterioration. A similar result that liver-specific Raldh1 silencing improved glucose metabolism was also observed in high-fat diet-fed mice. In primary human hepatocytes and oleic acid-treated HepG2 cells, Rald or Rald + RALDH1 silencing resulted in decreased glucose production and downregulated PCK1/G6PC mRNA and protein expression. Mechanistically, Rald downregulated direct repeat 1-mediated PCK1 and G6PC expression by antagonizing retinoid X receptor α, as confirmed by luciferase reporter assays and molecular docking. These results highlight the link between hepatic Rald deficiency, glucose dyshomeostasis, and the progression of T2D, whilst also suggesting RALDH1 as a potential therapeutic target for T2D.

Objective:To explore the coverage of influenza and pneumonia vaccination and factors influencing the vaccination in children.Methods:A cross-sectional questionnaire survey was conducted in children's parents in Beijing and Gansu by using two-stage cluster-sampling to investigate the influenza and pneumonia vaccination rates and influencing factors in children.Results:A total of 2 377 parents were included in the study, and the results indicated that the influenza vaccination coverage was 35.93% and the pneumonia vaccination coverage was 16.58% in children in survey areas, the vaccination rate of both vaccines was 11.65%. The top three reasons for vaccination for both vaccines were being aware of severity of the diseases (influenza vaccine: 36.02%; pneumonia vaccine: 49.61%), being required by school or organization (influenza vaccine: 28.76%; pneumonia vaccine: 25.45%) and being aware of the susceptibility of the diseases (influenza vaccine: 26.41%; pneumonia vaccine: 13.88%). The top three reasons for having no vaccinations were personal unwillingness, concern about vaccine and vaccine accessibility. Families with multi children, living in rural areas and lower family income were the negative factors for both types of vaccinations.Conclusions:The influenza and pneumonia vaccination coverage in children need further improvement, and rural families and families with multi children are the key concern groups for expanding vaccination coverage. Health education about influenza and pneumonia vaccinations, coordinating vaccine supply and decreasing vaccine prices play an important role in improving influenza and pneumonia vaccination coverage.

Human challenge trial (HCT) is a test in which human volunteers are intentionally infected with pathogens in order to evaluate the efficacy of candidate preventive or therapeutic drugs. During the COVID-19 pandemic, the HCT of vaccines has aroused people's attention due to its significant advantages over clinical trial. This paper introduces the concept, development and application of HCT, the advantages and limitations of HCT for vaccine evaluation, and the consideration of future HCT of COVID-19 vaccine in China.

Objective:To investigate the incidence and determinants of vaccine hesitancy towards national immunization program in China and understand the current status of parents' hesitancy to different vaccines used in national immunization program.Methods:A cross-sectional survey was conducted in Beijing, Sichuan and Gansu. The methods of proportional probability sampling and convenience sampling were used to select the eligible study subjects for questionnaire surveys.Results:A total of 3 592 parents were enrolled in the study, in whom 38.22% fully accepted all the vaccines, 59.35% agreed to let their children to receive all the vaccines but showed slight concern, and 2.42% had hesitancy to the vaccines. The vaccine with the most hesitancy was polio vaccine (0.89%), followed by diphtheria pertussis tetanus vaccine (0.70%) and hepatitis A vaccine (0.64%). The dominant reason for vaccine hesitancy was the risk-benefit perception of vaccination (31.03%), followed by the low awareness of the parents (21.84%) and the inconvenience caused by distance and time (21.84%).Conclusions:The incidence of vaccine hesitancy towards national immunization program was low in parents in China, but over 50% of the parents showed concern to the vaccines. It is essential to improve the service quality of national immunization program and strengthen the health education about the vaccination to reduce the incidence of vaccine hesitancy in parents.