Objective: To explore the impact of sleep quality, experience of childhood maltreatment, and their interaction on depressive symptoms among middle school students, so as to provide the reference for early intervention of depressive symptoms among middle school students. Methods: From September to December 2023, a questionnaire survey was conducted among 1 231 students from two secondary schools in Harbin, Heilongjiang Province by a convenient sampling method. The survey included general demographic information, Childhood Trauma Questionnaire Short Form, Pittsburgh Sleep Quality Index and Short Version of Center for Epidemiological Studies Depression Scale. The Chi square test was used to analyze the differences in depressive symptom, sleep quality and childhood maltreatment among students with different demographic characteristics. Correlation analysis was conducted using Logistic regression, and interaction analysis was performed by both additive and multiplicative interaction models. Results: The detection rate of depressive symptoms among middle school students was 22.7%, and the rate for high school students (35.2%) was significantly higher than that for middle school students (17.0%) ( χ 2=50.35, P <0.01). The detection rates of depressive symptoms among middle school students with a history of childhood maltreatment and poor sleep quality were 45.8% and 44.0%, respectively. Multivariate Logistic regression analysis showed that compared to students without a history of childhood maltreatment, students with a history of childhood maltreatment had a higher risk of depressive symptoms ( OR =4.49，95% CI =3.31~ 6.09 , P <0.01);students with poor sleep quality had a higher risk of depressive symptoms than students with good sleep quality ( OR = 5.99，95% CI =4.37~8.22, P <0.01).The interaction results showed that the presence of childhood maltreatment and poor sleep quality had an additive interaction on the occurrence of depression in middle school students. Compared with students without childhood maltreatment and having good sleep quality, students with childhood maltreatment and poor sleep quality had a 22.49 times higher risk of developing depression ( OR =22.49，95% CI =14.22~35.59, P <0.01). Conclusion Depressive symptoms among middle school students are associated with childhood maltreatment and poor sleep quality, and there is an additive interaction between childhood maltreatment and poor sleep quality on the impact of depressive symptoms.

Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg^-1) and a high dose (15 mg·kg^-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D₃03)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.

Aim To explore the possible mechanism of "component-target-pathway" of Radix Hedysari against target organ damage caused by radiotherapy and chemotherapy, and to verify the " dose-effect" relationship of the main active components. Methods TCMSP, Uniprot, Swiss Target Prediction, GeneCards, Cytoscape, Omicshare and other platforms were used for network pharmacology analysis. Autodock, Pymol and Ligplot were used for molecular docking. The water extract of Radix Hedysari was used for animal experiment verification. The contents of eight main components were determined by HPLC. Results Four active components, eight key targets and four key pathways of Radix Hedysari were identified to resist the damage of target organs caused by radiotherapy and chemotherapy. Molecular docking showed that formononetin and quercetin had good binding activity with HSP90AA1, naringenin and MAPK3, and ursolic acid and TP53. Animal experiments showed that gastrointestinal factors MTL and VIP increased significantly, liver and kidney factors Cr, BUN, AST and ALT decreased significantly, inflammatory factor IL-10 increased significantly and TNF-a decreased significantly. The content of ononm was the highest (2 . 884 8 µg • g "

Qualitative analysis of the ingredients absorbed into blood and their metabolites of Xihuang pill (XHP) were conducted using high-performance liquid chromatography quadrupole time-of-flight mass spectrometry (HPLC-Q-TOF-MS/MS) technology. Network pharmacology was used to explore the potential anticancer mechanisms of the ingredients against glioma, and their specific mechanisms were validated through molecular docking and experimental verification. SD rats were intragastrically administered with XHP, and rat serum samples were collected. Ingredients absorbed into blood and their metabolites were identified based on the retention time of chromatographic peaks, accurate molecular mass, characteristic fragment ions, and comparisons with reference substances and literature data. PharmMapper and SwissTarget Prediction databases were used to obtain the targets of the XHP-medicated serum, while GeneCards, OMIM, PharmGKB, TTD, and DrugBank databases were used to obtain glioma disease targets. The "component-target" network relationship diagram was constructed using Cytoscape 3.9.1 software. The protein-protein interaction (PPI) network diagram was constructed using the STRING database, and the targets were analyzed using GO and KEGG analyses. Molecular docking was used to verify the binding ability of core targets with their corresponding compounds in XHP-medicated serum. The potential mechanism of the anti-glioma effect of 11-keto-β-boswellic acid (KBA), a representative component of XHP-medicated serum, was verified using CCK-8 and Western blot assays. A total of 40 compounds were identified in the XHP-medicated serum, including 28 prototype components and 12 metabolites. The network pharmacology results showed that elemonic acid, 3-acetyl-β-boswellic acid, KBA, α-boswellic acid, and other 5 compounds might be the active ingredients of XHP-medicated serum in the treatment of glioma. Glutathione reductase (GSR), glucose-6-phosphate dehydrogenase (G6PD), ATP-citrate lyase (ACLY), aldo-keto reductase family 1 member B1 (AKR1B1) and glutaredoxin (GLRX) were identified as key targets, involving pathways such as glutathione metabolism and the pentose phosphate pathway. Further cell experiments showed that KBA significantly inhibited the proliferation of T98G cells with an IC₅₀ of 30.96 μmol·L^-1, and KBA (30 μmol·L^-1) significantly downregulated the protein expression levels of GSR in T98G cells. In summary, XHP-medicated serum may exert its anti-glioma effect by regulating GSR and G6PD-targeted pathways involved in glutathione metabolism. These results provide valuable evidence for further investigating the mechanism of XHP in treating glioma. The animal welfare and experimental procedures were approved by the Ethical Committee of Laboratory Animals at Nanjing University of Chinese Medicine (approval No. ACU221001).

Objective To evaluate the characteristics of different antigen-specific T cell immune responses to severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)after inoculation with 2 doses of SARS-CoV-2 inactivated vaccine for 12 months.Methods Fifteen healthy adults were enrolled in this study and blood samples collected at 12 months after receiving two doses of SARS-CoV-2 inactivated vaccine.The level and phenotypic characteristics of SARS-CoV-2 antigen-specific T lymphocytes were detected by activation-induced markers(AIM)based on polychromatic flow cytometry.Results After 12 months of inoculation with 2 doses of SARS-CoV-2 inactivated vaccine,more than 90%of adults had detectable Spike and Non-spike antigen-specific CD4+ T cells immune responses(Spike:14/15,P=0.0001;Non-spike:15/15,P<0.0001).80%of adults had detectable Spike and Non-spike antigen-specific CD8+ T cells immune responses(Spike:12/15,P=0.0463;Non-spike:12/15,P=0.0806).Antigen-specific CD4+ T cells induced by SARS-CoV-2 inactivated vaccination after 12 months were composed of predominantly central memory(CM)and effector memory 1(EM1)cells.On the other hand,in terms of helper subsets,antigen-specific CD4+ T cells mainly showed T helper 1/17(Th1/17)and T helper 2(Th2)phenotypes.Conclusions SARS-CoV-2 inactivated vaccination generates durable and extensive antigen-specific CD4+ T cell memory responses,which may be the key factor for the low proportion of severe coronavirus disease 2019(COVID-19)infection in China.

Objective To explore the operation effect of the improved full-appointment mode of ambulatory chemotherapy,so as to provide reference for further improving the treatment process.Methods The enhanced full-appointment mode had been implemented in Fudan University Shanghai Cancer Center outpatient information system,which seamlessly integrated daytime chemotherapy assessment with comprehensive information management,formulated precise rules for chemotherapy appointments,and ensured efficient integration of relevant data.A comparative analysis was conducted between the period after optimization(Jan to Sep 2022)and the corresponding period in the previous year(Jan to Sep 2021),considering factors such as patient waiting time,human involvement,patient safety during chemotherapy,as well as nurse and patient satisfaction.Results After optimization,the time spent by patients was reduced from 52.12(32.73-83.05)to 20.04(11.87-41.10)minutes,with statistically significant difference(z=-78.144,P＜0.001).Additionally,the time spent by patients before and after optimization was significantly different in the distribution of＜30 minutes,30-60 minutes,and＞60 minutes(χ2=5 958.455,P＜0.001).Previously,one nurse and 2-3 security personnel were required to schedule appointments in the daytime chemotherapy center,while after optimization,there was no longer a need for nurses to arrange appointment windows and the number of security personnel was reduced to one,thereby optimized human operations.It was observed that the number of cases involving chemotherapy infusion reactions decreased from 59 to 46 following optimization,and the number of patients requiring rescue observation reduced from four to one.Notably,no rescue events occurred during non-day shifts,thus enhanced patient safety during treatment hours outside regular working hours.Furthermore,there was a statistically significant improvement in both nurses'and patients'satisfaction levels before and after implementation of these optimizations(P＜0.05).Conclusion The modified full appointment mode reduced patient waiting time,optimized human resources utilization,enhanced patient safety during chemotherapy,and improved satisfaction levels among both nurses and patients.The implementation of the modified full appointment mode for daytime chemotherapy centers was beneficial to their overall operation.

ObjectiveRecent successful restoration of the native conformation and function of the complementary-determining regions (CDRs) of antibodies on gold nanoparticles (AuNPs) demonstrates that the era of molecular conformational engineering is dawning. Basically, molecular conformational engineering aims to precisely tune flexible non-functional molecules into special conformations to carry out novel functions, in the same way as protein folding. In order to explore the general applicability of molecular conformational engineering, as well as to reveal the mechanism of protein structure-function relationship, the objective of this work is to restore the native conformation and function of the CDRs of an antibody on platinum nanoparticles (PtNPs). MethodsThe CDR fragment of the anti-lysozyme antibody cAB-lys3, which has no stable conformation or function in free state, was conjugated onto the surface of PtNPs through two Pt-S bonds. The original antigen-recognizing function of the CDR restored on PtNPs was assessed by the specific inhibition of the enzymatic activity of lysozyme by the PtNP-CDR conjugates. ResultsAfter optimization of the peptide density on the surface of PtNPs and modification of PtNPs with polyethylene glycol (PEG), the resulted PtNP-based hybrid artificial antibody (PtNP-10PEG-30P1), dubbed Platinumbody, could bind specifically to lysozyme and significantly inhibit the activity of lysozyme. ConclusionThis is the first time that the fragment of a protein could refold on PtNPs. Together with the previous Goldbody and Silverbody, current work demonstrates that artificial proteins could be generally created by restoration of the native conformation of natural proteins fragments on NPs.

Multiple system atrophy(MSA)is a serious and rapidly progressive neurodegenerative disease.The currently used diagnostic criteria are the second edition of MSA diagnostic criteria published in 2008.Although widely recognized in clinical research, they lack sensitivity for early diagnosis of the disease.Reliable early diagnosis of MSA is particularly important for patient care and counseling, recruitment for clinical trials of disease-modifying therapies, and development and validation of diagnostic tools.To overcome the shortcomings of the second edition of the diagnostic criteria, the International Parkinson and Movement Disorder Society developed a new version of diagnostic criteria for MSA, which was published in April 2022.This paper interprets the new MSA diagnostic criteria and examines the scientific research areas that need to be further explored in future research, which will be important in guiding the management of elderly patients and related research.

[Objective] To analyze the correlation of serum creatinine (Cr), hemoglobin (HGB) and body mass index (BMI) with osteoporosis in middle-aged and elderly Tibetan residents in Xizang and its predictive value for osteoporosis. [Methods] Between November 2021 and August 2023, using multistage random cluster sampling method information on demographics, we collected blood indices and bone mineral density from 564 middle-aged and elderly Tibetan residents in Ali (Pulan, Zada, Ritu, and Rezhe counties), Nagchu (Nagchu, Nyima, Amdo, Shuanghu, and Bango counties), Shannan (Lunzi county), and Lhasa (Nimu county), Tibetan regions. They were divided into osteoporosis group (90 cases) and non-osteoporosis group (474 cases) according to whether they suffered from osteoporosis or not. Pearson correlation method was used to analyze the correlation between bone mineral density (BMD) and each variable. Binary Logistic regression was used to analyze the related influencing factors of osteoporosis in middle-aged and elderly Tibetan residents, and the regression equation model of predicting the risk factors of osteoporosis was constructed. The fitting degree of the model was tested by Hosmer-Lemeshow test model. Receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of serum Cr, HGB and BMI combined tests on osteoporosis in middle-aged and elderly Tibetan residents in Xizang. [Results] The prevalence of osteoporosis was higher in females than in males. Among the osteoporosis group, height and weight, alanine aminotransferase, glutamine aminotransferase, urea nitrogen, uric acid, total cholesterol, triglyceride, low-density lipoprotein cholesterol, homocysteine, serum Cr, HGB and BMI were significantly lower (P<0.05). Correlation analysis showed that age was negatively correlated with BMD, while body weight, serum Cr, HGB and BMI were positively correlated with BMD (P<0.05). Multivariate binary Logistic results showed that age (OR=1.085), serum Cr (OR=0.891), BMI (OR=0.475), and HGB (OR=0.966) were the influencing factors for the occurrence of osteoporosis (P<0.05). To establish a prediction model for the risk of osteoporosis, Logit(P)=6.265+ 0.086×age + (-0.109×Cr)+ (-0.020×HGB)+ (-0.213×BMI). The area under the ROC curve was 0.932, the sensitivity was 88.9%, and the specificity was 82.5%. Hosmer-Lemeshow test model had a good fit (P=0.960). According to Logit(P) model, L score=-29.413+ (-0.404×age)+ 0.512×Cr+ 0.094×HGB+ BMI could be calculated. When L score >8.9, the patient could be diagnosed with the disease. [Conclusion] The decrease in serum Cr, HGB and BMI is a risk factor for osteoporosis in Tibetan aged residents. Age was negatively correlated with BMD, while serum Cr, HGB and BMI were positively correlated with BMD. The combined model of age, serum Cr, HGB and BMI can significantly improve the diagnostic efficiency of osteoporosis in the elderly Tibetans in Xizang.

The assessment of adverse drug events is an important basis for clinical safety evaluation and post-marketing risk control of drugs,and its causality assessment is gaining increasing attention.The existing methods for assessing the causal relationship between drugs and the occurrence of adverse reactions can be broadly classified into three categories:global introspective methods,standardized methods,and probabilistic methods.At present,there is no systematic introduction of the operational details of the various methods in the domestic literature.This paper compares representative causality assessment methods in terms of definition and concept,methodological steps,industry evaluation and advantages and disadvantages,clarifies the basic process of determining the causality of adverse drug reactions,and discusses how to further improve the adverse drug reaction monitoring and evaluation system,with a view to providing a reference for drug development and pharmacovigilance work in China.