ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

Filamenting temperature-sensitive mutant Z (FtsZ), a protein essential for bacterial cell division, is highly conserved across bacterial species but absent in humans, positioning it as a strategic target for the development of antibiotics. Significant efforts to identify FtsZ inhibitors-via biochemical assays (e.g., GTPase activity) and cellular approaches (e.g., immunofluorescence)-have yielded over 100 natural products and synthetic compounds, whose cheminformatics clustering underscores a limited chemical diversity among the current scaffolds. Structural studies, including X-ray crystallography and cryo-electron microscopy, have resolved 97 FtsZ structures revealing conserved polymerization mechanisms and conformational plasticity, as exemplified by extremophile adaptations (e.g., Shewanella benthica from the high-pressure environment of the Mariana Trench's Challenger Deep). However, clinical translation is hindered by weak binding affinities, inhibitory inefficacy, dynamic conformational flexibility, and evolving drug resistance linked to FtsZ's functional plasticity. To address these challenges, future efforts should be directed to resolve transient assembly intermediates, leveraging machine learning with high-throughput screening, and integrating structural biology with pharmacokinetic optimization. Multidisciplinary strategies combining these approaches hold promise for translating FtsZ-focused research into clinically viable therapies, addressing the critical unmet need posed by antibiotics resistance.

The increasing prevalence of aging has led to a rising incidence of comorbidity of sarcopenia and obesity, posing significant burdens on socioeconomic and public health. Current research has systematically explored the pathogenesis of each condition; however, the mechanisms underlying their comorbidity remain unclear. This study reviews the current literature on sarcopenia and obesity in the aging population, focusing on their shared biological mechanisms, which include loss of autophagy, abnormal macrophage function, mitochondrial dysfunction, and reduced sex hormone secretion. It also identifies metabolic mechanisms such as insulin resistance, vitamin D metabolism abnormalities, dysregulation of iron metabolism, decreased levels of nicotinamide adenine dinucleotide, and gut microbiota imbalances. Additionally, this study also explores the important role of genetic factors, such as alleles and microRNAs, in the co-occurrence of sarcopenia and obesity. A better understanding of these mechanisms is vital for developing clinical interventions and preventive strategies.
Humans ; Sarcopenia/physiopathology* ; Obesity/physiopathology* ; Aging/physiology* ; Autophagy/physiology* ; Insulin Resistance ; Comorbidity ; Vitamin D/metabolism* ; Gonadal Steroid Hormones/metabolism* ; Gastrointestinal Microbiome ; Mitochondria ; MicroRNAs

This study aimed to explore the pharmacological mechanism of Yourenji Capsules(YRJ) in improving osteoporosis by combining network pharmacology and proteomics technologies. The SD rats were randomly divided into a blank control group and a 700 mg·kg~(-1) YRJ group. The rats were subjected to gavage administration with the corresponding drugs, and the blank serum, drug-containing serum, and YRJ samples were compared using ultra performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS/MS) to analyze the main components absorbed into blood. Network pharmacology analysis was conducted based on the YRJ components absorbed into blood to obtain related targets of the components and target genes involved in osteoporosis, and Venn diagrams were used to identify the intersection of drug action targets and disease targets. The STRING database was used for protein-protein interaction(PPI) network analysis of potential target proteins to construct a PPI network. Gene Ontology(GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment were performed using Enrichr to investigate the potential mechanism of action of YRJ. Ovariectomy(OVX) was performed to establish a rat model of osteoporosis, and the rats were divided into a sham group, a model group, and a 700 mg·kg~(-1) YRJ group. The rats were given the corresponding drugs by gavage. The femurs of the rats were subjected to label-free proteomics analysis to detect differentially expressed proteins, and GO functional enrichment and KEGG pathway enrichment analyses were performed on the differentially expressed proteins. With the help of network pharmacology and proteomics results, the mechanism by which YRJ improves osteoporosis was predicted. The analysis of the YRJ components absorbed into blood revealed 23 bioactive components of YRJ, and network pharmacology results indicated that key targets involved include tumor necrosis factor(TNF), tumor protein p53(TP53), protein kinase(AKT1), and matrix metalloproteinase 9(MMP9). These targets are mainly involved in osteoclast differentiation, estrogen signaling pathways, and nuclear factor-kappa B(NF-κB) signaling pathways. Additionally, the proteomics analysis highlighted important pathways such as peroxisome proliferator-activated receptor(PPAR) signaling pathways, mitogen-activated protein kinase(MAPK) signaling pathways, and β-alanine metabolism. The combined approaches of network pharmacology and proteomics have revealed that the mechanism by which YRJ improves osteoporosis may be closely related to the regulation of inflammation, osteoblast, and osteoclast metabolic pathways. The main pathways involved include the NF-κB signaling pathways, MAPK signaling pathways, and PPAR signaling pathways, among others.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Osteoporosis/metabolism* ; Proteomics ; Rats ; Rats, Sprague-Dawley ; Network Pharmacology ; Female ; Protein Interaction Maps/drug effects* ; Capsules ; Humans ; Signal Transduction/drug effects*

BACKGROUND: The correlation between geriatric nutritional risk index (GNRI) and the prognosis of patients with osteoporosis or osteopenia has not been studied. This study aims to explore the relationship between GNRI and the cardiovascular disease (CVD) and all-cause mortality rates in elderly patients with osteoporosis or osteopenia. METHODS: This study included 4756 patients with osteoporosis and osteopenia from five cycles of the National Health and Nutrition Examination Survey (NHANES). We used multivariable Cox regression and subgroup analyses to investigate the correlation between GNRI and mortality rates. The restricted cubic spline analysis was used to assess the dose-response relationship between GNRI and mortality risk. Mediation analysis was conducted to examine the mediating effect of chronic kidney disease on the relationship between nutritional risk and mortality. RESULTS: During a median follow-up period of 114 months, a total of 1241 deaths (26.09%) occurred, including 300 deaths due to CVD (6.31%). In the fully adjusted Model 3, compared to the no-risk group, the risk group showed significantly increased all-cause mortality risk (HR = 2.05, 95% CI: 1.74-2.40) and CVD mortality risk (HR = 1.88, 95% CI: 1.30-2.71). The restricted cubic spline analysis indicated a non-linear association between GNRI and all-cause mortality risk as well as CVD mortality risk. The mediation analysis results indicated that chronic kidney disease mediates 16.9% of the effect of nutritional risk on all-cause mortality and 25.3% on CVD mortality risk. CONCLUSIONS GNRI can serve as a predictive factor for all-cause and CVD mortality rates in elderly patients with osteoporosis or osteopenia.

OBJECTIVE: To assess relationships between cold spells and genitourinary hospitalization risk. METHODS: Hospitalization records for genitourinary system diseases (GUDs) from 16 districts in Beijing (2013-2018) were analyzed. Cold spells were defined based on varying intensity thresholds. A two-stage analytical method was employed: first, generalized linear models assessed district-specific associations between cold spells and hospitalizations; second, random-effects meta-analysis aggregated the district-level results. Subgroup analyses were performed by admission type (emergency vs. outpatient), age, and sex. RESULTS: A total of 271,579 GUD-related hospitalizations were recorded. Cold spells (p1day2，daily mean temperature below the 1 ^st percentiles of the daily mean temperature distribution from January 1, 2013, to December 31, 2018, lasting for two or more consecutive days) were linked to a significant rise in hospitalization risks: 1.43 (95% CI: 1.32-1.56) for all GUDs, 1.35 (95% CI: 1.23-1.49) for urinary system diseases, and 1.46 (95% CI: 1.28-1.67) for renal failure, when compared to non-cold spell days. Emergency admissions showed higher risk increases than outpatient admissions. CONCLUSION Extreme cold spells significantly elevate hospitalization risks for GUDs. This highlights the urgent need for targeted public health interventions to mitigate cold-related health impacts, especially for vulnerable populations.
Humans ; Hospitalization/statistics & numerical data* ; Male ; Female ; Cold Temperature/adverse effects* ; Infant ; Child, Preschool ; Middle Aged ; Adult ; Child ; Aged ; Adolescent ; Young Adult ; Beijing/epidemiology* ; Female Urogenital Diseases/etiology* ; Male Urogenital Diseases/etiology* ; Infant, Newborn ; Risk Factors

Objective To analyze the pathogenic bacteria and drug resistance of peritoneal dialysis-associated peritonitis(PDAP),and provide a clinical reference for the rational use of antibiotics.Methods The demographic data of PDAP patients admitted to the peritoneal dialysis(PD)Center of the First Affiliated Hospital of Soochow University from July 1,2015 to December 30,2021 were collected,and the pathogens,drug resistance and prognosis were retrospectively analyzed.Results A total of 150 episodes of PDAP occurred in 92 patients.The positive rate of PD fluid culture was 61.33％,including 65 cases(70.65％)of Gram-positive(G+)bacteria,mainly Staphylococcus and Streptococcus.Gram-negative(G-)bacteria were in 16 cases(17.39％),mainly Escherichia coli and Enterobacter cloacae.There were 11 cases(11.96％)of multiple infections,including 5 cases of combined fungal infection.From 2016 to 2021,the incidence of G+bacteria-related PDAP decreased from 14 to 8 cases.G+strains were resistant to methicillin(35.00％),and were sensitive to linezolid(100.00％),teicoplanin(100.00％)and rifampicin(100.00％).The sensitivity rate to vancomycin was 98.59％.G-strains were sensitive to ceftazidime(86.36％),ceftizoxime(88.89％)and amikacin(100.00％).The MIC of vancomycin against Staphylococcus showed an upward trend in 2019-2021.The overall cure rate of PDAP was 81.33％in patients who responded to antibiotic treatment,and the cure rate of G+bacteria was higher than that of multiple infections(89.23％vs.36.36％,P＜0.01).The outcome of patients with multiple infections,especially those with concurrent fungal infection was poor.Conclusion The incidence of PDAP in the PD center has shown a decreasing trend in recent years.G+bacteria are still the main pathogenic bacteria causing PDAP,and they are highly resistant to methicillin,so vancomycin should be used as empirical therapy.For G-bacteria,cefotaxime and amikacin can be chosen as empirical therapy.There is a drift in the MIC values of vancomycin against Staphylococcus in the study period,so it is necessary to monitor the MIC of vancomycin against Staphylococcus and its changing trend.

Objective To understand the respiratory protection competency of staff in hospitals.Methods Staff from six hospitals of different levels and characteristics in Beijing were selected,including doctors,nurses,medical technicians,and servicers,to conduct knowledge assessment on respiratory protection competency.According to exposure risks of respiratory infectious diseases,based on actual cases and daily work scenarios,content of respira-tory protection competency assessment was designed from three aspects:identification of respiratory infectious di-seases,transmission routes and corresponding protection requirements,as well as correct selection and use of masks.The assessment included 6,6,and 8 knowledge points respectively,with 20 knowledge points in total,all of which were choice questions.For multiple-choice questions,full marks,partial marks,and no mark were given respective-ly if all options were correct,partial options were correct and without incorrect options,and partial options were correct but with incorrect options.Difficulty and discrimination analyses on question of each knowledge point was conducted based on classical test theory.Results The respiratory protection competency knowledge assessment for 326 staff members at different risk levels in 6 hospitals showed that concerning the 20 knowledge points,more than 60％participants got full marks for 6 points,while the proportion of full marks for other questions was relatively low.Less than 10％participants got full marks for the following 5 knowledge points:types of airborne diseases,types of droplet-borne diseases,conventional measures for the prevention and control of healthcare-associated infec-tion with respiratory infectious diseases,indications for wearing respirators,and indications for wearing medical protective masks.Among the 20 knowledge questions,5,1,and 14 questions were relatively easy,medium,and difficult,respectively;6,1,4,and 9 questions were with discrimination levels of ≥0.4,0.30-0.39,0.20-0.29,and ≤0.19,respectively.Conclusion There is still much room for hospital staff to improve their respiratory protection competency,especially in the recognition of diseases with different transmission routes and the indications for wearing different types of masks.

Objective:To study the clinical features and risk factors of prognosis of neonatal appendicitis.Methods:From January 2014 to December 2022, all infants with neonatal appendicitis and received surgery in our hospital were retrospectively analyzed.Results:A total of 6 cases were enrolled, including 1 boy and 5 girls, with gestational age 36-40 weeks, birth weight 1 990~3 300 g, age of admission 5-11 d and time from illness onset to admission 0.5-4 d. All infants had abdominal distension, combined with vomiting in 4 cases, fever in 3 cases and blood in stool in 1 case. Gastrointestinal perforation was found on preoperative abdominal X-ray in 5 cases. All 6 cases received surgery and confirmed the diagnosis of appendicitis with perforation during the surgery. Appendectomy was performed without mortality. 1 case had Amyand hernia and received high ligation of the hernia sac during operation. 1 case had meningitis and was cured after 3 weeks of antibiotic treatment. 1 case developed adhesive intestinal obstruction 3 months after surgery and underwent intestinal adhesiolysis. One case developed colonic stenosis one month after surgery. The stenotic segment of the colon was resected and primary intestinal anastomosis was performed.Conclusions:Neonatal appendicitis progresses rapidly and is difficult to diagnose. The possibility of appendicitis with perforation should be considered when preoperative abdominal X-ray suggesting pneumoperitoneum. Intraoperatively, it is necessary to pay attention to the relationship between appendiceal perforation and other lesions for comprehensive treatment, and change the surgical approach accordingly.