Objective To develop a method for detecting the monosaccharide composition of different serotypes of pneumococcal capsular polysaccharides(PnPs), in order to provide a reliable detection method for the quality control of pneumococcal PnPs vaccines and polysaccharide-protein conjugate vaccines.Methods According to the structural differences of different serotypes of PnPs, trifluoroacetic acid(TFA), hydrofluoric acid(HF) + TFA, and anhydrous hydrogen chloride/methanol(HCl/Meth) + TFA were used for hydrolysis to release the monosaccharide components, respectively. The high performance anionexchange chromatography with pulsed amperometric detection(HPAEC-PAD) without derivatization and 1-phenyl-3-methyl-5-pyrazolone(PMP) pre-column derivatization high-performance liquid chromatography(HPLC) were used for detection to compare the differences in the separation performance for acidic monosaccharides, neutral monosaccharides and alkaline monosaccharides between different detection methods. Different hydrilysis methods(TFA, HF + TFA, HCl/Meth + TFA, and HCl) were used to hydrolyze monosaccharides, and the stability of each monosaccharide component was evaluated by PMP pre-column derivatization HPLC.Results The three hydrolysis methods could effectively break the glycosidic bonds of different serotypes of PnPs and release various monosaccharide components. The PMP derivatization combined with a C18 column exhibited the best separation performance, enabling baseline separation of 10 neutral, acidic, and alkaline monosaccharides, suitable for the comprehensive analysis of all serotypes. In the HPAEC-PAD method, PA10 column had good separation performance for most monosaccharides, but some glycosamines were not well separated. MA1 column could specifically detect ribitol and glycerol components which cannot be derivatized, while could not elute uronic acids. HF and TFA treatments had little effect on the recovery of most monosaccharides. However, HCl/Meth treatment could easily lead to the degradation of hexosamine,while HCl treatment alone leaded to the degradation of neutral monosaccharides and uronicacids.Conclusion PMP pre-column derivatization HPLC has good separation performance and strong universality, and is a reliable method to detect the monosaccharide composition of different serotypes of PnPs. HPAEC-PAD method has unique advantages in detecting specific components such as ribitol. The combination of the two forms a complete method system for the quality control of pneumococcal polysaccharide conjugate vaccines.

Lumbar spinal stenosis (LSS) is a common disabling condition in the elderly, and its clinical assessment relies not only on imaging and neurofunctional indicators but also on traditional Chinese medicine (TCM) syndrome differentiation. To evaluate the concordance between existing LSS animal models and clinical characteristics of TCM and Western medicine, clarify their advantages and limitations, and explore their translational potential, Chinese and English databases, including CNKI, Wanfang Data, PubMed, and Web of Science, are searched using combinations of the terms "lumbar spinal stenosis," "model," "guideline," "consensus," and "norm" from inception to the end of June 2025. After screening, a total of 21 publications are included, of which 15 report animal experimental studies, and 6 are guidelines, consensus statements, or normative documents. Based on these, the existing modeling methods are summarized, diagnostic indicators are extracted from clinical guidelines and expert consensus, and clinical concordance is evaluated using an assessment system proposed in the relevant literature. The results show that the existing animal models are categorized into three concordance levels: high (laminectomy/spinous process removal with filling; laminectomy/spinous process + ligament/muscle removal with filling; autologous bone backfilling), moderate (nylon tape dural binding method, adjustable screws, fixation combined with removal of ligament/muscle), and low (balloon compression method, adjustable balloon compression method, bipedal standing, ligament/muscle resection, steel wire cerclage method). Overall, current animal models of LSS generally perform well in terms of structural construction but show clear limitations in replicating clinical diagnostic logic and TCM syndromes. Future research should enhance syndrome phenotype collection and enrich TCM-based evaluation systems based on existing models. Additionally, multifactorial integrated modeling strategies should be introduced to extend the depth of syndrome-level simulation. This study aims to analyze LSS animal models that can faithfully recapitulate disease pathogenesis, conform to clinical realities of both Western medicine and TCM clinical practice, and have broad application potential, so as to narrow the translational gap between experimental findings and clinical practice.

Objective:To investigate the risk factors of skin adverse events associated with immune checkpoint inhibitor (ICI) therapy in patients with urologic neoplasms, and establish a predictive model.Methods:A single-center retrospective case-control study enrolled 91 advanced urologic neoplasms patients who received ICI therapy at the Department of Urology, Beijing Friendship Hospital, Capital Medical University from January 2020 to June 2025. Patients were divided into the skin lesion group ( n=44) and the control group ( n=47). Patients in the skin lesion group experienced related skin adverse events during ICI treatment, while patients in the control group did not experience such events during ICI treatment. The general data and laboratory indicators were compared between the two groups. The normally distributed measurement data were expressed as mean±standard deviation ( ± s), and the independent sample t-test was used for comparison between groups; the non-normally distributed measurement data were expressed as the median (interquartile range) [ M ( Q1, Q3)], and the Kruskal-Wallis test was used for comparison between groups. The count data were expressed as the number of cases and percentages, and the Chi-test was used for comparison between groups. First, a univariate analysis was conducted on the influencing factors of skin adverse events in patients with urologic neoplasms after ICI treatment. Then, the indicators with statistically significant differences in the univariate analysis were further included in the multivariate Logistic regression model to screen the independent risk factors for predicting skin adverse events. The R software was used to incorporate the factors with significant differences from multivariate analysis into the prediction model and construct a Nomogram. The calibration curve was utilized to evaluate the consistency between predicted values and actual observed results. Meanwhile, the discrimination of the model was verified by the receiver operating characteristic (ROC) curve and the area under the curve (AUC), so as to comprehensively verify the reliability and clinical application value of the prediction model. Results:The results of univariate analysis showed that there were statistically significant differences between the skin lesion group and the control group in terms of the proportion of other immune responses, serum albumin level, absolute eosinophil count, and C-reactive protein (CRP) levels ( P<0.05). These factors were included in multivariate Logistic regression, which identified elevated absolute eosinophil count and elevated CRP as the independent risk factors for related skin adverse events in patients with urologic neoplasms after ICI treatment. A predictive nomogram was built based on these factors. The calibration curve showed high consistency between predicted and actual probabilities, and ROC analysis confirmed the combined model had high predictive value (AUC=0.883, P<0.001). Conclusions:Elevated absolute eosinophil count and elevated CRP level are independent predictors of immune-related skin adverse events in urologic neoplasms patients after ICI treatment. The prediction model constructed based on these two factors facilitates early clinical screening and identification of high-risk patients.

Objective:To systematically review the application of Artificial Intelligence (AI) in drug clinical trial management under the Good Clinical Practice (GCP) framework, identify current gaps and shortcomings, and to propose an optimization strategy.Methods:Main academic databases were searched for literature published in Chinese and English between September 2019 and September 2024. Relevant studies were included. Key findings were extracted and summarized.Results:AI applications had been extensively explored and reported in areas such as informed consenting and protection of human subject rights, trial design and implementation, subject screening and recruitment, data processing and management, and reporting. Current literature was predominantly international. Despite a foundation of applied research, issues existed such as lack of standardization, fragmented tools, and insufficient interconnectivity and interoperability.Conclusions:China has marked potential to adopt and integrate AI technologies in drug clinical trial management under the GCP framework. Future efforts should focus on establishing standards, covering end-to-end processes, promoting multi-tool collaboration and data interconnectivity, and building robust data security and ethical protection mechanisms in an AI environment. Seizing the opportunities can enhance drug clinical trial management.

Depression and circadian rhythms exhibit bidirectional interactions,suggesting a close association with the biological clock system.The biological clock in the suprachiasmatic nucleus of the hypothalamus is regulated by circadian genes.Recent clinical and basic research has revealed multifaceted associations between depression and circadian genes.For instance,significant phase abnormalities in BMAL1,PER2,and PER3 were detected in brain tissue from depressed patients,while plasma levels of CRY1,ARNTL,and PER1 proteins showed marked reduction,demonstrating good diagnostic value.Mice with CLOCK and BMAL1 knockouts exhibited depression-like behaviors.Single nucleotide polymorphisms(SNPs)in genes such as PER1 and PER3 directly influence depression susceptibility.Methylation levels of BMAL1,PER3,and CLOCK genes correlate closely with depressive symptoms.Antidepressant mechanisms like ketamine exert their effects by downregulating PER2 and other genes.This review summarizes the differential expression patterns of circadian clock genes in depression and associated therapeutic approaches,aiming to provide new theoretical foundations for precision diagnosis and personalized treatment strategies for depression.

Depression and circadian rhythms exhibit bidirectional interactions,suggesting a close association with the biological clock system.The biological clock in the suprachiasmatic nucleus of the hypothalamus is regulated by circadian genes.Recent clinical and basic research has revealed multifaceted associations between depression and circadian genes.For instance,significant phase abnormalities in BMAL1,PER2,and PER3 were detected in brain tissue from depressed patients,while plasma levels of CRY1,ARNTL,and PER1 proteins showed marked reduction,demonstrating good diagnostic value.Mice with CLOCK and BMAL1 knockouts exhibited depression-like behaviors.Single nucleotide polymorphisms(SNPs)in genes such as PER1 and PER3 directly influence depression susceptibility.Methylation levels of BMAL1,PER3,and CLOCK genes correlate closely with depressive symptoms.Antidepressant mechanisms like ketamine exert their effects by downregulating PER2 and other genes.This review summarizes the differential expression patterns of circadian clock genes in depression and associated therapeutic approaches,aiming to provide new theoretical foundations for precision diagnosis and personalized treatment strategies for depression.

Saliva is an important body fluid in the oral cavity containing lots of biomarkers, whose inherent micro-ecosystem holds significant value for early diagnosis and monitoring of oral diseases. Simultaneously, saliva has particular advantages, such as ease of sampling, painless and non-invasive collection, and suitability for repeated sampling, making it highly appropriate for surveillance and follow-up of diseases. In a series of studies conducted by the research group for preventive dentistry in Peking University School and Hospital of Stomatology, we compared different segments of saliva and those samples collected via different sampling methods using proteomic/peptidomic and microbiomic technologies to explore the stability of saliva samples. Besides, the significance of applying representative salivary biomarkers in early prevention and control of representative oral diseases (e.g. dental caries, periodontal diseases) and systemic conditions (e.g. type 2 diabetes mellitus, chronic kidney disease) was confirmed as well.
Humans ; Saliva/chemistry* ; Dental Caries/diagnosis* ; Biomarkers/analysis* ; Periodontal Diseases/diagnosis* ; Mouth Diseases/diagnosis* ; Proteomics/methods* ; Diabetes Mellitus, Type 2/diagnosis* ; Microbiota ; Renal Insufficiency, Chronic/prevention & control*

The spatio-temporal heterogeneity of breast cell subsets forms the fundamental biological basis for physiological development and pathological progression, including tumorigenesis; however, its complex regulatory mechanisms are not yet fully elucidated. With its high-resolution capabilities, single-cell RNA sequencing (scRNA-seq) technology offers a powerful tool for dissecting this cellular heterogeneity. This technology enables the construction of high-precision breast cell atlases, the accurate identification of distinct cell subsets, and the reconstruction of differentiation trajectories from stem/progenitor cells to functional epithelial cells. By resolving the transcriptional regulatory networks that govern cell fate determination, intercellular communication patterns, and dynamic microenvironmental interactions, scRNA-seq has unveiled the molecular foundations of breast development and provided new perspectives on the pathogenesis of related diseases such as breast cancer and macromastia. Furthermore, scRNA-seq demonstrates significant potential for discovering early molecular markers of disease, deciphering tumor heterogeneity, and elucidating mechanisms of therapeutic resistance. The continued application of scRNA-seq for dissecting breast cell heterogeneity, combined with its integration with multi-modal data such as spatial omics, promises to provide critical evidence and new insights for revealing the molecular mechanisms of breast development-related diseases and for formulating precision therapeutic strategies.
Humans ; Single-Cell Analysis/methods* ; Female ; Breast Neoplasms/pathology* ; Sequence Analysis, RNA/methods* ; Breast/cytology*

ObjectiveTo explore the effects of the Tai Chi training on bone density， bone turnover markers， and heart rate variability for people with high-risk osteoporosis， and to provide evidence for the prevention of osteoporosis at early stage. MethodsSixty-six cases of people with high risk of osteoporosis were included， and they were divided into 33 cases each in the intervention group and the control group using the random number table method. The control group received osteoporosis health education three times a week， and the intervention group received Tai Chi training under the guidance of a trainer three times a week for 40 mins each time on the basis of the control group， and both groups were intervened for 12 weeks. Dual-energy X-ray absorptiometry was used to measure the bone density of L₁~L₄ vertebrae， bilateral femoral necks and bilateral total hips in the two groups before and after the intervention； enzyme-linked immunosorbent assay was used to determine bone turnover markers before and after the intervention， including pro-collagen type Ⅰ pro-amino-terminal prepropyl peptide （P1NP） and β-collagen type Ⅰ cross-linking carboxy-terminal peptide （β-CTX）. Seven cases with good compliance in the intervention group were selected. After wearing the heart rate sensor， they successively performed Tai Chi training and walking activities recommended by the guideline for 20 mins each， and the heart rate variability （HRV） during exercise was collected， including time-domain indexes such as standard deviation of normal sinus intervals （SDNN）， root-mean-square of the difference between adjacent RR intervals （RMSSD）， frequency-domain metrics such as low-frequency power （LF）， high-frequency power （HF）， and low-frequency/high-frequency power ratio （LF/HF）， as well as nonlinear metrics such as approximate entropy （ApEn）， sample entropy （SampEn）. ResultsFinally， 63 cases were included in the outcome analysis， including 30 cases in the intervention group and 33 cases in the control group. After the intervention， the differences of L₁~L₄ vertebrae， bone density of bilateral femoral neck and bilateral total hip in the intervention group were not statistically significant when compared with those before intervention （P＞0.05）， while the bone density of all parts of the control group decreased significantly compared with that before intervention （P＜0.05）， and the difference in the bone density of the L₁~L₄ vertebrae， bilateral femoral neck， and the right total hip before and after the intervention of the intervention group was smaller than that of the control group （P＜0.05）. The differences in P1NP and β-CTX between groups before and after intervention was not statistically significant （P＞0.05）. Compared with walking exercise， LF decreased， HF increased and LF/HF decreased during Tai Chi exercise （P＜0.05）； the time domain indexes and non-linear indexes between groups had no statistically significant difference （P＞0.05）. ConclusionTai Chi exercise can maintain lumbar， hip， and femoral bone density and improve sympathetic/parasympathetic balance in people at high risk for osteoporosis， but cannot significantly improve bone turnover markers.