Objective To explore the number of peripheral blood regulatory T cells (Treg) in patients with chronic kidney disease (CKD) and its correlation with vascular calcification. Methods This was a single-center, cross-sectional, and observational study. Non-dialysis patients with CKD treated at Zhongshan Hospital, Fudan University from March 2021 to March 2022 were enrolled. Abdominal aortic calcification (AAC) was assessed using lateral abdominal X-ray. Number of Treg and cytokine levels were measured by flow cytometry. Logistic regression analysis was performed to evaluate the related factors for AAC in CKD patients. Results A total of 83 patients were included, aged 17–86 years, with 57 males (68.7%). The distribution of CKD stages was as follows: stage G1 in 7 patients (8.4%), stage G2 in 17 patients (20.5%), stage G3 in 21 patients (25.3%), stage G4 in 19 patients (22.9%), and stage G5 in 19 patients (22.9%). No AAC was observed in patients with stages G1 and G2, while the prevalence of AAC in patients with stages G3, G4, and G5 was 23.8%, 21.1%, and 26.3%, respectively. Compared with stage G1 patients, those with stages G3–5 showed decreased number of peripheral blood Treg and elevated levels of interleukin (IL)-6 and IL-17F (P＜0.05). The area under the receiver operating characteristic curve for number of peripheral blood Treg in predicting AAC in CKD patients was 0.766 (95%CI 0.652–0.879, P＝0.002). Logistic regression analysis showed that decreased number of Treg was related factor for AAC in CKD patients (OR＝0.957, 95%CI 0.922–0.992, P＝0.018). Conclusion As CKD progresses, number of peripheral blood Treg significantly decreases, which is correlated with AAC in CKD patients.

BACKGROUND:Stress-induced damage to hippocampal neurons may underlie abnormalities in neuronal structure and function,ultimately leading to mood disorders.G protein-coupled receptors in brain tissue play an important role in mood regulation.OBJECTIVE:To analyze the mechanism of depression-like behavior in chronic social defeat stress mice based on high-throughput sequencing and bioinformatics analysis.METHODS:C57BL/6J mice were randomly divided into control group and model group.There was no special treatment in the control group,while a mouse model of chronic social defeat stress was established in the model group.Depression-like behavior was assessed through the sucrose preference test,tail suspension test,and forced swim test.Anxiety behavior was evaluated using the elevated plus-maze,while social behavior was measured through the social interaction test.Cognitive function was assessed with the Y-maze spontaneous alternation test.Immunofluorescence staining was performed to quantify microglia markers in the mouse hippocampus,and Nissl staining was used to examine neuronal damage in mice.High-throughput sequencing was used to identify differentially expressed genes and gene enrichment in the mouse hippocampus,and qPCR was used to measure the expression of G protein-coupled receptors in the mouse hippocampus.RESULTS AND CONCLUSION:(1)Compared with the control group,chronic social defeat stress mice showed significant behavioral impairments,including increased anxiety,depression,and cognitive deficits.(2)Additionally,the Nissl body light density in hippocampal neurons was significantly reduced in chronic social defeat stress mice.(3)Sequencing results revealed synaptic damage in the neurons after chronic social defeat stress.Microglia activation was also markedly increased in the hippocampus of CSDS mice.Furthermore,the expression of G protein-coupled receptors in the hippocampus was significantly higher in chronic social defeat stress mice compared with the control group.These findings suggest that chronic social defeat stress induces anxiety,depression,and cognitive deficits in mice,accompanied by neuropathological changes in the hippocampus,and that altered G protein-coupled receptors expression may play a key role in these behavioral and neuropathological changes.

BACKGROUND:Stress-induced damage to hippocampal neurons may underlie abnormalities in neuronal structure and function,ultimately leading to mood disorders.G protein-coupled receptors in brain tissue play an important role in mood regulation.OBJECTIVE:To analyze the mechanism of depression-like behavior in chronic social defeat stress mice based on high-throughput sequencing and bioinformatics analysis.METHODS:C57BL/6J mice were randomly divided into control group and model group.There was no special treatment in the control group,while a mouse model of chronic social defeat stress was established in the model group.Depression-like behavior was assessed through the sucrose preference test,tail suspension test,and forced swim test.Anxiety behavior was evaluated using the elevated plus-maze,while social behavior was measured through the social interaction test.Cognitive function was assessed with the Y-maze spontaneous alternation test.Immunofluorescence staining was performed to quantify microglia markers in the mouse hippocampus,and Nissl staining was used to examine neuronal damage in mice.High-throughput sequencing was used to identify differentially expressed genes and gene enrichment in the mouse hippocampus,and qPCR was used to measure the expression of G protein-coupled receptors in the mouse hippocampus.RESULTS AND CONCLUSION:(1)Compared with the control group,chronic social defeat stress mice showed significant behavioral impairments,including increased anxiety,depression,and cognitive deficits.(2)Additionally,the Nissl body light density in hippocampal neurons was significantly reduced in chronic social defeat stress mice.(3)Sequencing results revealed synaptic damage in the neurons after chronic social defeat stress.Microglia activation was also markedly increased in the hippocampus of CSDS mice.Furthermore,the expression of G protein-coupled receptors in the hippocampus was significantly higher in chronic social defeat stress mice compared with the control group.These findings suggest that chronic social defeat stress induces anxiety,depression,and cognitive deficits in mice,accompanied by neuropathological changes in the hippocampus,and that altered G protein-coupled receptors expression may play a key role in these behavioral and neuropathological changes.

Objective By establishing a model to screen out patients with potentially large positional deviations based on their abdominal circumference,personalized solutions can be taken to address setup errors in these patients and ensure treatment efficacy.Methods A total of 81 patients treated at Tianjin People's Hospital from May 2021 to June 2023 were selected as the study subjects.The correlations between setup errors in the lateral,longitudinal,and vertical directions and abdominal circumference were analyzed.Subsequently,linear regression was performed for the direction with a significant correlation to abdominal circumference to establish a linear regression model.Finally,the 81 patients were divided into a normal setup group and an abnormal setup group with 0.7 cm as the critical value.A receiver operating characteristic(ROC)curve was plotted,and the maximum Youden index was calculated to determine the optimal cutoff value for identifying patients prone to abnormal setup.Results The correlation analysis of abdominal circumference and setup errors in various directions showed that the correlation coefficient between abdominal circumference and longitudinal direction positioning error was 0.406 2,and the correlation was statistically significant and positively correlated.The correlation coefficients for abdominal circumference and the lateral as well as longitudinal directions were-0.117 5 and-0.067 47,respectively,with P values greater than 0.05,indicating no statistical significance.A linear regression model was established for abdominal circumference and longitudinal direction,and the results showed an R2of 0.165,with a regression coefficient B of 0.008(t=3.951,P<0.01),indicating that the model was well constructed.ROC curve analysis showed an area under the curve of 0.715,with a 95%confidence interval of 0.57-0.86 and a maximum Youden index of 0.478.The corresponding optimal cutoff value was determined to be at 87 cm,with sensitivity at 0.875 and specificity at 0.603.Conclusion The abdominal circumference is significant to diagnose whether the longitudinal setup error is abnormal.Patients with an abdominal circumference greater than 87 cm are more likely to experience abnormal positioning during radiotherapy,which is reflected in the longitudinal setup errors being the largest.It is recommended to provide individualized target area margins for patients with an abdominal circumference greater than 87 cm,or perform daily cone-beam computed tomography to correct setup errors,thereby ensuring target coverage and treatment efficacy.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.

Objective To explore the immediate and short-term effects of Shexiang Tongxin Dripping Pill in the intervention of coronary slow flow(CSF).Methods Through Interactive Web Response System,Sixty-four patients with CSF from Dongzhimen Hospital,Beijing University of Chinese Medicine were divided into a Shexiang Tongxin Dripping Pill group(32 patients)and a placebo group(32 patients)in a 1∶1 ratio in a randomized,double-blind,placebo-controlled trial.After sublingual administration of four capsules of Shexiang Tongxin Dripping Pill or the placebo,coronary angiography was repeated,and the corrected TIMI frame count(CTFC)and microcirculatory resistance index(caIMR)were measured to evaluate immediate blood flow velocity.After taking Shexiang Tongxin Dripping Pill or the placebo for 12 weeks,the short-term efficacy was evaluated using traditional Chinese medicine(TCM)syndrome,blood stasis syndrome,and Seattle Angina Questionnaire(SAQ)scores.Results The CTFC and caIMR were lower after administration in the Shexiang Tongxin Dripping Pill group(P＜0.05)than in the placebo group,and the differences in pre-and post-administration values between the two groups were significant(P＜0.01).Intragroup comparisons showed that the CTFC and caIMR in the Shexiang Tongxin Dripping Pill group were lower after administration than before administration(P＜0.01).After 12 weeks of treatment,the blood stasis and TCM syndrome scores in the Shexiang Tongxin Dripping Pill group were lower than those in the placebo group,whereas the SAQ score was higher than that in the placebo group(P＜0.01).Intragroup comparisons indicated that the blood stasis syndrome score in the Shexiang Tongxin Dripping Pill group was lower after treatment than before treatment,whereas the TCM syndrome score in both groups was lower and the SAQ score was higher after treatment than before treatment(P＜0.01).Conclusion Shexiang Tongxin Dripping Pill improve the immediate blood flow velocity of CSF,enhance the quality of life of patients,reduce the TCM syndrome and blood stasis syndrome scores,and have good safety.

Objective:To explore the distribution of pathogenic bacteria causing postoperative infections in chil-dren undergoing surgery for Hirschsprung's disease(HD),and the clinical significance of serum triggering receptor ex-pressed on myeloid cells-1(sTREM-1)and high mobility group box 1(HMGB1).Methods:98 children with HD admit-ted from January 2021 to January 2025 were divided into infection group(n=42)and non-infection group(n=56)accord-ing to whether the children were complicated with infection after operation.Automatic bacterial identification system was used to detect the distribution of pathogenic bacteria in secretion samples from infected sites of HD children after operation.ELISA was used to measure serum sTREM-1 and HMGB1.ROC was used to explore the diagnostic value of serum sTREM-1 and HMGB1 for severe infection in children with HD.Results:A total of 49 strains of pathogenic bac-teria were isolated from 42 children with HD in infection group,of which 63.27%(31/49)were gram-negative bacteria,accounting for the highest proportion,followed by Gram positive bacteria at 30.61%(15/49)and fungi at 6.12%(3/49).Among them,Pseudomonas aeruginosa had the highest proportion of 24.49%(12/49)among Gram negative bacteria.there were 15 cases of mild infection(15 strains of pathogens),16 cases of moderate infection(17 strains of pathogens)and 11 cases of severe infection(17 strains of pathogens).With the aggravation of the infection degree of HD children,the distribution pattern of pathogenic bacteria changed,and gradually changed to mainly gram-negative bacteria infec-tion.Compared with non infected group,the levels of serum sTREM-1 and HMGB1 in infected group were higher(P<0.05).The levels of serum sTREM-1 and HMGB1 in children with severe HD infection are higher than those in children with mild and moderate HD infection(P<0.05).The AUC of the combined diagnosis of serum sTREM-1 and HMGB1 for severe infection in HD children was the highest,at 0.985,which was superior to the separate diagnosis of serum sTREM-1 and HMGB1(Zcombination-sTREM-1=1.988,P=0.047;Zcombination-HMGB1=2.126,P=0.034).Conclusion:Serum sTREM-1 and HMGB1 are elevated in HD children with postoperative infection,and the pathogenic bacteria are mainly gram-negative bacteria.In addition,the combined detection of the two provides a reference for the clinical diagnosis of severe infection in HD children.

Objective By establishing a model to screen out patients with potentially large positional deviations based on their abdominal circumference,personalized solutions can be taken to address setup errors in these patients and ensure treatment efficacy.Methods A total of 81 patients treated at Tianjin People's Hospital from May 2021 to June 2023 were selected as the study subjects.The correlations between setup errors in the lateral,longitudinal,and vertical directions and abdominal circumference were analyzed.Subsequently,linear regression was performed for the direction with a significant correlation to abdominal circumference to establish a linear regression model.Finally,the 81 patients were divided into a normal setup group and an abnormal setup group with 0.7 cm as the critical value.A receiver operating characteristic(ROC)curve was plotted,and the maximum Youden index was calculated to determine the optimal cutoff value for identifying patients prone to abnormal setup.Results The correlation analysis of abdominal circumference and setup errors in various directions showed that the correlation coefficient between abdominal circumference and longitudinal direction positioning error was 0.406 2,and the correlation was statistically significant and positively correlated.The correlation coefficients for abdominal circumference and the lateral as well as longitudinal directions were-0.117 5 and-0.067 47,respectively,with P values greater than 0.05,indicating no statistical significance.A linear regression model was established for abdominal circumference and longitudinal direction,and the results showed an R2of 0.165,with a regression coefficient B of 0.008(t=3.951,P<0.01),indicating that the model was well constructed.ROC curve analysis showed an area under the curve of 0.715,with a 95%confidence interval of 0.57-0.86 and a maximum Youden index of 0.478.The corresponding optimal cutoff value was determined to be at 87 cm,with sensitivity at 0.875 and specificity at 0.603.Conclusion The abdominal circumference is significant to diagnose whether the longitudinal setup error is abnormal.Patients with an abdominal circumference greater than 87 cm are more likely to experience abnormal positioning during radiotherapy,which is reflected in the longitudinal setup errors being the largest.It is recommended to provide individualized target area margins for patients with an abdominal circumference greater than 87 cm,or perform daily cone-beam computed tomography to correct setup errors,thereby ensuring target coverage and treatment efficacy.

Objective To explore the pharmacokinetic(PK)characteristics of desloratadine tablets and reference drugs in healthy subjects,and evaluate their bioequivalence and safety.Methods The random,open,two-period,cross-over pharmacokinetic study method was adopted,each subject received a single oral dose of desloratadine tablets test drug(T)or reference drug(R)for 5 mg.The concentrations of desloratadine and 3-hydroxy desloratadine in plasma were determined by liquid chromatography-tandem mass spectrometry(LC-MS/MS);and the PK parameters were calculated by WinNonlin 8.1 software to evaluate the bioequivalence.Results The main PK parameters of T and R of desloratadine were as follows:the fasting condition Cmax were respectively(3 809.82±1 016.54)and(3 642.36±777.07)pg·mL-1;AUC0-120h were respectively(5.75 ×104±5.03 ×104)and(5.51 × 104±4.00 × 104)pg·h·mL-1;AUC0-∞ were respectively(6.85× 104±1.03× 104)and(6.37 × 104±7.92 × 104)pg·h·mL-1.The fed condition Cmax were respectively(4 398.98±1 191.22)and(4 744.4±1 511.97)pg·mL-1;AUC0-120h were respectively(5.25 × 104±1.82 × 104)and(5.55 × 104±1.98 × 104)pg·h·mL-1;AUC0-∞ were respectively(5.37 × 104±1.86 × 104)and(5.68 × 104±2.04 × 104)pg·h·mL-1.The 90％confidence interval of Cmax,AUC0-t and AUC0-∞ of desloratadine were all within 80.00％～125.00％.Conclusion There was no significant difference in the main PK parameters between T tablets and R under fasting or high-fat postprandial conditions,and desloratadine tablets were bioequivalent,safe and well tolerated.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.