Objective To explore the mediating role of activities of daily living (ADL) in pain and depressive symptoms in the elderly in China. Methods Utilizing the data from 2020 China Health and Retirement Longitudinal Study, 4403 Chinese elderly individuals aged ≥ 60 years old were selected as the research subjects. Depression Scale (CES-D 10) of the Center for Epidemiological Survey and ADL scale were used in the study. The PROCESS4.1 macro was used to test the mediating effect of daily living activities between pain and depressive symptoms, and the Bootstrap method was applied for verification of the mediating variables. Results A total of 2368 cases of depressive symptoms were detected in the elderly in China, with a detection rate of 53.78%. Pain was positively correlated with depressive symptoms (r=0.27, P<0.01), and activities of daily living were negatively correlated with pain and depressive symptoms (r=-0.27, -0.337, P<0.01). The results showed that the total effect value of pain on depressive symptoms was 0.33, the direct effect value was 0.24, and the mediating effect value of daily living activities was 0.09, accounting for 27.27%. Conclusion Pain and activities of daily living are important factors influencing depressive symptoms in the elderly, and activities of daily living play a partial mediating role in the relationship between pain and depressive symptoms in the elderly.

Objective: To systematically analyze the revisions content and technological development trends of microbiological standards in the Chinese Pharmacopoeia (ChP) 2025 Edition, and explore its novel requirements in risk-based pharmaceutical product lifecycle management.
Methods: A comprehensive review was conducted on 26 microbiological-related standards to summarize the revision directions and scientific implications from perspectives including the revision overview, international harmonization of microbiological standards, risk-based quality management system, and novel tools and methods with Chinese characteristics.
Results: The ChP 2025 edition demonstrates three prominent features in microbiological-related standards: enhanced international harmonization, introduced emerging molecular biological technologies, and established a risk-based microbiological quality control system.
Conclusion: The new edition of the Pharmacopoeia has systematically constructed a microbiological standard system, which significantly improves the scientificity, standardization and applicability of the standards, providing a crucial support for advancing the microbiological quality control in pharmaceutical industries of China.

Osteosarcoma is a common primary malignant bone tumor with highly aggressive and distal metastasis and poor prognosis. Abnormal metabolism of iron, an essential nutrient with electron-exchange capacity and an important participant in cellular activities, is closely associated with the progression of osteosarcoma. Ferroptosis has been shown to regulate osteosarcoma progression and play an important role in the treatment of osteosarcoma. Exploring the application of relevant molecular mechanisms of ferroptosis in osteosarcoma and the current status of pharmacological intervention may provide new strategies for the treatment of osteosarcoma.

Objective To observe the value of 5.0T MR susceptibility weighted imaging(SWI)for displaying cerebral small veins and detecting cerebral microbleeds(CMB).Methods Head MR examinations were prospectively performed using both 3.0T and 5.0T MR scanner in 30 stroke patients suspected caused by cerebral small vessel disease.The image quality,effect of displaying cerebral small veins and detecting CMB were compared between 3.0T and 5.0T SWI.Results The image quality scores,signal-to-noise ratios,contrast-to-noise ratios,scores of displaying deep cerebral veins and subcortical veins,the counts of detecting CMB and iron deposition on cortical surface of 5.0T SWI were all higher than those of 3.0T SWI(all P＜0.05).High consistency of CMB positions was found between 3.0T and 5.0T SWI(Kappa=1.0).Conclusion The effect of 5.0T MR SWI for displaying cerebral small veins and detecting cerebral microbleeds were better than 3.0T MR SWI,which could be used to assess stroke caused by cerebral small vascular disease.

Objective:To investigate the efficacy and safety of immune checkpoint inhibitors (ICI), programmed death receptor 1 (PD-1) inhibitors and programmed death receptor-ligand 1 (PD-L1) inhibitors in the treatment of extensive-stage small cell lung cancer (ES-SCLC).Methods:The databases of CNKI, Wanfang, VIP, China Biology Medicine disc, PubMed, Embase, and Cochrane Clinical Controlled Trial Center Registry (CENTRAL) were retrieved, and the randomized controlled trial literature on the treatment of ES-SCLC with immune checkpoint inhibitors published from the establishment of the database until October 4, 2023 were reviewed. After screening literature and extracting data according to inclusion and exclusion criteria, the risk of bias in the study was evaluated using Review Manager 5.4 software. The disease remission, prognosis and adverse events (AE) of patients treated with ICI combined with chemotherapy (experimental group) and placebo± chemotherapy (control group) in the whole group and liver metastases and brain metastases subgroups were compared.Results:A total of 11 randomized controlled trials were included, with 2 243 cases in the experimental group and 2 059 cases in the control group. The included research data were complete and showed no selective bias. Compared with the control group, the objective response rate (ORR) of patients in the experimental group was higher [control group vs. experimental group, 64% (864/1 358) vs. 70% (1 088/1 532), RR = 1.08 (95% CI: 1.03-1.14), P = 0.003], and the difference was statistically significant; progression free survival (PFS) [experimental group vs. control group, the median PFS time, 5.14 months (95% CI: 4.88-5.40 months) vs. 4.76 months (95% CI: 4.70-4.82 months), HR = 0.72 (95% CI: 0.67-0.78), P < 0.001] and overall survival (OS) [experimental group vs. control group, the median OS time, 12.89 months (95% CI: 12.18-13.60 months) vs. 10.41 months (95% CI: 10.03-10.79 months), HR = 0.72 (95% CI: 0.67-0.78), P < 0.001] were all improved, and the differences were statistically significant. The OS of patients with baseline liver metastasis in the experimental group was better than that in the control group (experimental group vs. control group, HR = 0.82 (95% CI: 0.71-0.95), P = 0.009], and the difference was statistically significant, while the difference in OS of patients with baseline brain metastases was not statistically significant between the experimental group and the control group [experimental group vs. control group, HR = 0.84 (95% CI: 0.66-1.08), P = 0.170]. The incidence of AE [experimental group vs. control group, 31% (597/1 952) (95% CI: 24%-37%) vs. 14% (255/1 762) (95% CI: 9%-22%), RR = 2.25 (95% CI: 1.67-3.02), P < 0.001] and the incidence of drug discontinuation or dose change caused by AE [experimental group vs. control group, 21% (379/1 774) (95% CI: 12%-41%) vs. 19% (307/1 588) (95% CI: 6%-25%), RR = 1.20 (95% CI: 1.07-1.33), P = 0.001] in the experimental group were higher than those in the control group, and the differences were statistically significant. However, the incidence of severe (≥grade 3) AE in both the experimental group and the control group was 34% (620/1 814, 557/1 632) (both 95% CI: 32%-36%), and the difference was not statistically significant [experimental group vs. control group, RR = 1.00 (95% CI: 0.91-1.10), P = 0.960]. The incidence of hypothyroidism [experimental group vs. control group, 11% (118/1 083) (95% CI: 9%-13%) vs. 1% (11/886) (95% CI: 0-2%), RR = 8.56 (95% CI: 4.63-15.80), P < 0.001] and the incidence of hyperthyroidism [experimental group vs. control group, 7% (75/1 083) (95% CI: 5%-8%) vs. 2% (17/886) (95% CI: 1%-4%), RR = 3.27 (95% CI: 1.95-5.46), P < 0.001] in the experimental group were both higher than those in the control group, and the differences were statistically significant. Conclusions:ICI combined with chemotherapy can effectively improve the OS, PFS and disease remission of patients with ES-SCLC, as well as improve the survival of patients with liver metastases. However, there is no benefit in the survival of patients with brain metastases. The incidence of immune-mediated AE to ICI combined with chemotherapy has increased, but the overall safety is good.

Objective:To evaluate the performance of an artificial intelligent (AI)-based automated digital cell morphology analyzer (hereinafter referred as AI morphology analyzer) in detecting peripheral white blood cells (WBCs).Methods:A multi-center study. 1. A total of 3010 venous blood samples were collected from 11 tertiary hospitals nationwide, and 14 types of WBCs were analyzed with the AI morphology analyzers. The pre-classification results were compared with the post-classification results reviewed by senior morphological experts in evaluate the accuracy, sensitivity, specificity, and agreement of the AI morphology analyzers on the WBC pre-classification. 2. 400 blood samples (no less than 50% of the samples with abnormal WBCs after pre-classification and manual review) were selected from 3 010 samples, and the morphologists conducted manual microscopic examinations to differentiate different types of WBCs. The correlation between the post-classification and the manual microscopic examination results was analyzed. 3. Blood samples of patients diagnosed with lymphoma, acute lymphoblastic leukemia, acute myeloid leukemia, myelodysplastic syndrome, or myeloproliferative neoplasms were selected from the 3 010 blood samples. The performance of the AI morphology analyzers in these five hematological malignancies was evaluated by comparing the pre-classification and post-classification results. Cohen′s kappa test was used to analyze the consistency of WBC pre-classification and expert audit results, and Passing-Bablock regression analysis was used for comparison test, and accuracy, sensitivity, specificity, and agreement were calculated according to the formula.Results:1. AI morphology analyzers can pre-classify 14 types of WBCs and nucleated red blood cells. Compared with the post-classification results reviewed by senior morphological experts, the pre-classification accuracy of total WBCs reached 97.97%, of which the pre-classification accuracies of normal WBCs and abnormal WBCs were more than 96% and 87%, respectively. 2. The post-classification results reviewed by senior morphological experts correlated well with the manual differential results for all types of WBCs and nucleated red blood cells (neutrophils, lymphocytes, monocytes, eosinophils, basophils, immature granulocytes, blast cells, nucleated erythrocytes and malignant cells r>0.90 respectively, reactive lymphocytes r=0.85). With reference, the positive smear of abnormal cell types defined by The International Consensus Group for Hematology, the AI morphology analyzer has the similar screening ability for abnormal WBC samples as the manual microscopic examination. 3. For the blood samples with malignant hematologic diseases, the AI morphology analyzers showed accuracies higher than 84% on blast cells pre-classification, and the sensitivities were higher than 94%. In acute myeloid leukemia, the sensitivity of abnormal promyelocytes pre-classification exceeded 95%. Conclusion:The AI morphology analyzer showed high pre-classification accuracies and sensitivities on all types of leukocytes in peripheral blood when comparing with the post-classification results reviewed by experts. The post-classification results also showed a good correlation with the manual differential results. The AI morphology analyzer provides an efficient adjunctive white blood cell detection method for screening malignant hematological diseases.

Objective:To determine the evaluation indexes of national standard strains of genotypes 1, 3 and 5 of Japanese encephalitis virus (JEV) and evaluate the national standard JEV strains.Methods:According to the national standard strain evaluation technical standards of pathogenic microbial bacteria (virus) species, based on the application of Japanese encephalitis virus research, and according to the morphological characteristics, biological characteristics, molecular biological characteristics and other research data to identify the characteristics of G1, G3 and G5 genotypes of JEV.Results:Spherical virus particles with a diameter of about 60 nm were visible under electron microscope of the three Japanese encephalitis virus strains. The cytopathic effect was mainly characterized by cell shrinkage and exfoliation in BHK-21 and Vero cell lines, cell fusion and exfoliation were shown after infection with C6/36 cell line; the virus titer was 10 5-10 7 PFU/ml, and the plaque size was different by genotype. The median lethal dose of intrabitoneal challenge in G1, G3 and G5 JEV in three weeks-old mice was 50.51 PFU, 6.98 PFU, and 8.13 PFU, and the median lethal dose of intracranial challenge in five weeks mice was 3 PFU, 0.3 PFU, 1.35 PFU. The whole genome length of G1, G3 and G5 JEV was 10 967 bp, 10 976 bp and 10 983 bp, respectively. Conclusions:Three genotypic national standard strains of JE V were identified and evaluated by electron microscopy, cell, animal and genome laboratory indexes, which provided reference for the identification and evaluation of other national standard strains of JEV.

Objective:To evaluate the clinical value of 5.0 T ultra-high filed MRI system in assessing intracranial arteries segments and vessel branchers.Methods:This study was a prospective study. Totally 40 consecutive healthy volunteers were recruited from Zhongshan Hospital, Fudan University from September 1, 2021 to November 30, and all participants who underwent either 3.0 T or 5.0 T time-of-flight MR angiography (TOF-MRA) in random order were divided into 3.0 T MR group and 5.0 T MR group with 20 volunteers for each group. Image quality was assessed by Likert 5 scoring systems and signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR),and score in visualization of intracranial arteries [middle cerebral artery (MCA) and its segments, anterior cerebral artery (ACA) and its segments, posterior cerebral artery (PCA) and its segments, lenticulostriate arteries (LA) and pontine artery (PA)] were assessed from 0 to 3 (≥2: good depiction of vessel segment). Quantitative indicators were compared between 2 groups using independent t test or Mann-Whitney U test. Results:Among the 40 subjects, there were 29 males and 11 females, aged 20-69 (50±12) years. SNR and CNR were both significantly higher in 5.0 T MR group than those in 3.0 T MR group (SNR: 187±9 vs 91±4, t=31.59, P<0.001; CNR: 156±7 vs 70±4, t=31.45, P<0.001), but there was no significant difference in subjective scores of image quality between the 5.0 T MR and 3.0 T MR groups [5.0 (4.0, 5.0), 5.0 (5.0, 5.0) points, respectively, Z=-1.23, P=0.218]. In the evaluation of cerebral arteries, the visualizations of the proximal and middle segments of MCA, ACA and PCA was better than those in the 3.0 T MR group, and there was no significant difference in the scores ( P>0.05), while the visualizations of proximal arteries in the 5.0 T MR group were significantly better than those in the 3.0 T MR group ( P<0.05). Furthermore, small vessel branches such as LA and PA in 5.0 T MR group were visualized better than those in 3.0 T MR group ( P<0.001). Conclusion:TOF-MRA by ultra-high filed 5.0-T provides an optimal choice in visualization of distal large arteries and small vessel branches, which could be useful for the diagnosis on cerebral vascular disease.

Objective To investigate the residents' acceptance and the influencing factors of the hierarchical medical system in Xuzhou, and to suggest on effective system implementation. Methods Xuzhou residents free of cognitive impairment and over 18 years old were sampled for questionnaire survey in July-August 2016, to study their acceptance of their basics and acceptance of the system. 1 550 questionnaires were distributed, and 1 473 valid ones were recovered. The count data were expressed as constituent ratio, and χ2test was used for single-factor analysis, with binary logistic regression analysis for multi-factor analysis. Results 71. 0% of the residents embraced this system. Their acceptance varies significantly with their age, place of residence, education, annual average monthly income, self-rated health status, physical examination experience, conditions of chronic diseases, medical visit experience at primary healthcare institutions, and their awareness of the system (P<0.05). Conclusions The acceptance of the system by Xuzhou residents needs to be elevated, by means of greater promotional efforts, capacity building for primary institutions, so as to fully leverage the system to serve the residents.

Objective: To explore the feasibility of high-throughput texture analysis in the distinction of single brain metastases (SBM) from high-grade gliomas (HGG) and validate the established model. Methods: A total of 86 patients who were histologically diagnosed with SBM or HGG were retrospectively collected, including 43 patients with SBM and 43 with HGG. All of patients were performed preoperative conventional head magnetic resonance imaging (MRI) scans. A total of 236 fluid-attenuated inversion recovery (FLALR) images containing the information of tumors were selected from the MRI images and each image was considered as an object. The training set had 200 images, including 106 from SBM group and 94 from HGG group, whereas the validation set had 36 images, including 19 from SBM group and 17 from HGG. After images preprocessing, images segmentation, features extraction, and features selection, a radiomic diagnostic model was finally established using the training set. The diagnostic performance of the diagnostic model was evaluated using a receiver operating characteristic (ROC) curve. Hierarchical clustering analysis was used to evaluate the quality of the extracted feature data and the classification effect of the model. The model was further validated using the independent validation set. Results: A total of 629 features were extracted and quantified from each sample, and 41 features were selected to establish feature subsets and the diagnostic model. The classification decision function of the model is f(x)=sign and the kernel function of the model is K(x, x_i)=exp. In the training set, the diagnostic accuracy, sensitivity, specificity, positive predictive value and negative predictive value were 0.845, 0.849, 0.840, 0.857 and 0.832, respectively. The area under the ROC curve reached to 0.939. Similar results were obtained in the validation set. Conclusion The high-throughput texture analysis shows high accuracy in differentiating SBM from HGG.