BACKGROUND:Acupoint embedding and floating needle therapy are two methods for the treatment of knee osteoarthritis,but there are few reports on the combined treatment of the two methods. OBJECTIVE:To investigate the therapeutic effect of acupoint embedding combined with floating needle therapy on different stages of knee osteoarthritis using generalized estimating equations. METHODS:A total of 436 patients with knee osteoarthritis admitted to Dongguan Hospital of Traditional Chinese Medicine from February 2019 to February 2023 were selected as the research subjects.All patients were randomly divided into a control group with floating needle therapy(n=218)and an observation group with acupoint embedding method combined with floating needle therapy(n=218).Staging was performed according to the K-L staging method.In the control group,there were 57 cases in stage Ⅰ,62 in stage Ⅱ,49 in phase Ⅲ,and 50 in stage Ⅳ,while in the observation group,there were 48 cases in stage Ⅰ,66 in stage Ⅱ,63 in phase Ⅲ,and 41 in stage Ⅳ.The levels of indexes and clinical efficacy were compared between groups before and after treatment.Generalized estimating equation model was used to analyze the influencing factors of clinical efficacy and the interaction effect of different time points,different methods and different stages on therapeutic efficacy. RESULTS AND CONCLUSION:There was no significant difference in baseline data between the observation group and the control group,as well as between the patients of different stages(P>0.05).After treatment,the cure rate of stage Ⅰ patients was the highest after treatment,and the total improvement rate in the observation group was significantly higher than that in the control group.There were significant differences in the cure rate among different stages in each group(P<0.05).After treatment,all indicators in the two groups were significantly decreased.In the control group,there were significant differences in various indicators of patients at different stages after 4 weeks of treatment(P<0.05).In the observation group,after 2 weeks of treatment,there were significant differences in various indicators of patients at different stages(P<0.05),and all the indexes in the observation were lower than those in the control group after 4 weeks of treatment(P<0.05)and the therapeutic effect in the observation group was better than that in the control group.Generalized estimating equation model analysis showed that trauma history,interleukin-6 level,treatment method,treatment time and K-L stage all significantly affected the clinical efficacy in patients.In the interaction effect analysis,after 2 weeks of treatment,there was a significant difference in the visual analogue scale score between the two groups in stages Ⅲ and Ⅳ(P<0.05).After 4 weeks of treatment,there was a significant difference in the visual analogue scale score between the two groups in stages Ⅱ,Ⅲ,and Ⅳ(P<0.05).To conclude,acupoint embedding combined with floating needle therapy is superior to floating needle therapy alone in the treatment of different stages of knee osteoarthritis.Trauma history,interleukin-6 level,treatment method,treatment time and K-L stage significantly influence the therapeutic effect.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Objective To investigate the epidemiological characteristics and control measures of dengue fever in Zhongshan City in 2024, so as to provide insights into optimization of dengue fever control strategies in the city. Methods Data pertaining to dengue fever cases in Zhongshan City in 2024 were collected from the Infectious Disease Reporting System of China Disease Prevention and Control Information System, and the epidemiological characteristics of the cases were analyzed using a descriptive statistical method. The density of Aedes albopictus mosquito was monitored across all 23 townships (subdistricts) using Breteau index (BI) and mosquito ovitrap index (MOI) at midmonth each month from March to December 2024. In addition, the climatic characteristics, case reporting patterns, and corresponding control measures were analyzed during different phases of dengue fever epidemics in Zhongshan in 2024. Furthermore, real-time quantitative reverse transcription PCR (RT-qPCR) assay was employed to serotype the dengue virus among local dengue fever cases with unknown sources of infections. The dengue virus envelope (E) gene was sequenced using Sanger sequencing among dengue fever cases without apparent epidemiological links. A phylogenetic tree was constructed using the neighbor-joining method to infer major transmission chains during the dengue fever epi demics. Results A total of 952 dengue fever cases were reported in Zhongshan City in 2024, including 879 local cases, 57 domestically imported cases from other regions, and 16 overseas imported cases, representing the largest outbreak in nearly two decades. The first local dengue fever case was reported on July 5, and the last one was detected on December 19, with all townships and subdistricts affected. Mosquito monitoring data indicated that both MOI and BI rose rapidly from March to May, and then remained at high levels with fluctuations, and began to decline in October. The dengue fever epidemic was categorized into five distinct phases in Zhongshan, including non-epidemic, pre-epidemic, early-epidemic, peak, and receding stages. During the pre-epidemic and early-epidemic phases, key measures included enhancing sensitivity of case detection, implementing isolation and treatment of hospitalized cases, and carrying out standardized vector control measures in affected communities. In the peak phase, the strategy shifted towards targeted mosquito control in key communities and clinical rescue and treatment emphasized on “preventing severe cases and deaths”. Among 481 local cases with unknown sources of infections, RT-qPCR assay revealed that 68.8% (331/481) were infected with dengue virus type I and 31.2% (150/481) with type II among local dengue fever cases in Zhongshan City in 2024. Phylogenetic analysis revealed two major transmission chains: one originating from imported cases within Guangdong Province around Zhongshan City, and another from cases imported from Malaysia. Late detection of local dengue fever cases contributed to widespread community outbreaks. Conclusions The 2024 dengue fever epidemic in Zhongshan City was of considerable scale, which was primarily driven by imported cases from overseas and surrounding regions, leading to local community outbreaks. The epidemic began in early July, increased rapidly during August and September, peaked in October, and subsequently declined, with a trend consistent with the average pattern observed in previous high-incidence years. By implementing differentiated control measures tailored to each phase of the epidemic, the local transmission of dengue fever was successfully contained in Zhongshan City in 2024.

OBJECTIVE: Objective To investigate the relationship between cervical disc herniation and C₀-C₂ Cobb angle. METHODS: The clinical data of 301 patients with cervical disc herniation from 2020 to 2024 were retrospectively analyzed. The median value of C₀-C₂ Cobb angle measurements from 301 patients was used as the boundary, cervical disc herniation patients were divided into two groups, C₀-C₂ Cobb angle <28.50 group and 151 patients with C₀-C₂ Cobb angle≥28.50 group. Among them, 150 patients in C₀-C₂ Cobb angle <28.50 group included 53 males and 97 females, aged 23 to 76 (57.32±12.55) years, with a disease duration of 7 to 19 (13.81±5.32) months;the othor 151 patients with C₀-C₂ Cobb angle≥28.50 group including 61 males and 90 females, aged 25 to 74 (56.86±12.51) years, with a disease duration of 8 to 18 (14.13±5.56) months. The cervical lordosis angle (C₀-C₂ Cobb angle and C₂-C₇ Cobb angle), T₁ inclination slope (T₁S) and cervical sagittal axial distance (C₂-C₇ SVA) were measured on the lateral cervical radiographs. The correlation between C₀-C₂ Cobb angle and cervical disc herniation range, protrusion position, average protrusion size and other parameters was analyzed. RESULTS: When the C₀-C₂ Cobb angle<28.50°, the average protrusion size was (2.21±0.56) mm, the C₂-C₇ Cobb angle was (19.92±12.06)° and the C₂-C₇ SVA was (1.10±1.20) mm. When the C₀-C₂ Cobb angle≥28.50°, the average protrusion size was (2.38±0.60) mm, the C₂-C₇ Cobb angle was (12.01±13.09 )°, the C₂-C₇ SVA was (1.53±1.36) mm, and the difference was statistically significant (P<0.05). Between the two groups of patients with C₀-C₂ Cobb angle < 28.50° and C₀-C₂ Cobb angle≥28.50°, there were significant differences in the size of C_3,4, C_4,5, C_5,6, C_6,7, C₇, T₁ disc herniation in single segment (P<0.05 ). C₀-C₂ Cobb angle was correlated with age(r=-0.135, P<0.05 ), C₂-C₇ Cobb angle (r=-0.382, P<0.01 ), C₂-C₇ SVA (r=0.293, P<0.01), average protrusion size (r=0.139, P<0.05), and the size of C_3,4 (r=0.215, P<0.01 ), C_4,5 (r=0.176, P<0.01 ), C_5,6 (r=0.144, P<0.05 ), C_6,7 (r=0.158, P<0.05 ), C₇T₁ (r=0.535, P<0.05) disc herniation. CONCLUSION There is a positive correlation between C₀-C₂ Cobb angle and the size of cervical disc herniation. C₀-C₂ Cobb angle can reflect the degree of cervical disc herniation. Previous studies have shown that the biomechanical changes between C₀-C₂ Cobb angle, C₂-C₇ Cobb angle, C₂-C₇ SVA and cervical extensor muscle group may be risk factors for accelerating cervical disc herniation and this may be one of the mechanisms that C₀-C₂ Cobb angle is positively correlated with the size of cervical disc herniation.
Humans ; Male ; Female ; Middle Aged ; Intervertebral Disc Displacement/physiopathology* ; Adult ; Cervical Vertebrae/diagnostic imaging* ; Aged ; Retrospective Studies ; Young Adult

Bombesin receptor subtype-3 (BRS3) is an orphan G protein-coupled receptor (GPCR) that plays critical roles in energy homeostasis, glucose metabolism, and insulin secretion. Recent structural studies have elucidated BRS3 signaling mechanisms using synthetic ligands, including BA1 and MK-5046. However, the molecular basis of BRS3 activation by bioactive natural compounds and their derivatives, particularly those derived from traditional Chinese medicine, remains unclear. Here, we present high-resolution cryogenic electron microscopy (cryo-EM) structures of the human BRS3-G_q complex in both unliganded and active states bound by two herb-derived compounds (DSO-5a and oridonin), at resolutions of 2.9, 2.8, and 2.9 Å, respectively. These structures display distinct ligand recognition patterns between DSO-5a and oridonin. Although both compounds bind to the orthosteric pocket, they differentially engage the interaction network of BRS3, as demonstrated by mutagenesis studies assessing calcium mobilization and inositol phosphate 1 (IP1) accumulation. These findings enhance our understanding of BRS3 activation and provide valuable insights into the development of small-molecule BRS3 modulators with therapeutic potential.

Osteoporosis is a prevalent skeletal condition characterized by reduced bone mass and strength, leading to increased fragility. Buqi-Tongluo (BQTL) decoction, a traditional Chinese medicine (TCM) prescription, has yet to be fully evaluated for its potential in treating bone diseases such as osteoporosis. To investigate the mechanism by which BQTL decoction inhibits osteoclast differentiation in vitro and validate these findings through in vivo experiments. We employed MTS assays to assess the potential proliferative or toxic effects of BQTL on bone marrow macrophages (BMMs) at various concentrations. TRAcP experiments were conducted to examine BQTL's impact on osteoclast differentiation. RT-PCR and Western blot analyses were utilized to evaluate the relative expression levels of osteoclast-specific genes and proteins under BQTL stimulation. Finally, in vivo experiments were performed using an osteoporosis model to further validate the in vitro findings. This study revealed that BQTL suppressed receptor activator of NF-κB ligand (RANKL)-induced osteoclastogenesis and osteoclast resorption activity in vitro in a dose-dependent manner without observable cytotoxicity. The inhibitory effects of BQTL on osteoclast formation and function were attributed to the downregulation of NFATc1 and c-fos activity, primarily through attenuation of the MAPK, NF-κB, and Calcineurin signaling pathways. BQTL's inhibitory capacity was further examined in vivo using an ovariectomized (OVX) rat model, demonstrating a strong protective effect against bone loss. BQTL may serve as an effective therapeutic TCM for the treatment of postmenopausal osteoporosis and the alleviation of bone loss induced by estrogen deficiency and related conditions.
Animals ; NFATC Transcription Factors/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Ovariectomy ; Osteoclasts/metabolism* ; Female ; Osteogenesis/drug effects* ; Rats, Sprague-Dawley ; Rats ; NF-kappa B/genetics* ; Osteoporosis/genetics* ; Signal Transduction/drug effects* ; Bone Resorption/genetics* ; Cell Differentiation/drug effects* ; Humans ; RANK Ligand/metabolism* ; Mitogen-Activated Protein Kinases/genetics* ; Transcription Factors

OBJECTIVE: Asthma imposes a significant global health burden. This study examines changes in the asthma-related disease burden from 1990 to 2021 and projects future burdens for 2050 under different scenarios. METHODS: Using data from the Global Burden of Disease 2021 study, we analyzed asthma incidence, prevalence, mortality, and disability-adjusted life years (DALYs) from 1990 to 2021. We projected the disease burden for 2050 based on current trends and hypothetical scenarios in which all risk factors are controlled. Temporal trends in age-standardized incidence, prevalence, mortality, and DALY rates were explored using Annual Percent Change. RESULTS: In 2021, the age-standardized rates for asthma incidence, prevalence, mortality, and DALYs in China were 364.17 per 100,000 (95% uncertainty interval [ UI]: 283.22-494.10), 1,956.49 per 100,000 (95% UI: 1,566.68-2,491.87), 1.47 per 100,000 (95% UI: 1.15-1.79), and 103.76 per 100,000 (95% UI: 72.50-145.46), respectively. A higher disease burden was observed among Chinese men and individuals aged 70 years or older. Compared to the current trend, a combined scenario involving improvements in environmental factors, behavioral and metabolic health, child nutrition, and vaccination resulted in a greater reduction in the disease burden caused by asthma. CONCLUSION Addressing modifiable risk factors is essential for further reducing the asthma-related disease burden.
Humans ; Asthma/mortality* ; China/epidemiology* ; Male ; Female ; Adult ; Middle Aged ; Aged ; Child ; Adolescent ; Global Burden of Disease/trends* ; Child, Preschool ; Young Adult ; Infant ; Cost of Illness ; Disability-Adjusted Life Years ; Prevalence ; Incidence ; Infant, Newborn ; Aged, 80 and over ; Risk Factors

OBJECTIVE: To analyze the prevalence and burden of headache disorders in China and its provinces from 1990 to 2021. METHODS: Using data from the Global Burden of Disease Study (GBD) 2021, the number of prevalent cases, prevalence rate, disability-adjusted life years (DALYs), and age-standardized DALY rates were analyzed by sex, age group, and province for headache disorders and their subtypes (migraine and tension-type headache [TTH]) between 1990 and 2021. Percentage changes during this period were also estimated. RESULTS: In 2021, approximately 426 million individuals in China were affected by headache disorders, with an age-standardized prevalence rate of 27,582.61/100,000. The age-standardized DALY rate for all headache disorders was 487.15/100,000. Between 1990 and 2021, the number of prevalent cases increased by 37.78%, while the prevalence of all headache disorders, migraine, and TTH increased by 6.92%, 7.57%, and 7.86%, respectively. The highest prevalence was observed in the 30-34 age group (39,520.60/100,000). Migraine accounted for a larger proportion of DALYs attributable to headache disorders, whereas TTH has a greater impact on its prevalence. In 2021, the highest age-standardized DALY rates for headache disorders were observed in Heilongjiang (617.85/100,000) and Shanghai (542.86/100,000). CONCLUSION The prevalence of headache disorders is increasing in China. Effective health education, improve diagnosis and treatment are essential, particularly for middle-aged working populations and women of childbearing age.
Humans ; China/epidemiology* ; Female ; Male ; Adult ; Middle Aged ; Prevalence ; Young Adult ; Adolescent ; Aged ; Child ; Headache Disorders/epidemiology* ; Disability-Adjusted Life Years ; Child, Preschool ; Cost of Illness ; Infant ; Aged, 80 and over

Dysbiosis can cause microenvironmental dysregulation, which can further lead to local or systemic diseases, such as caries, inflammatory bowel disease, obesity, and diabetes. Dysbiosis is primarily manifested as the disturbance of metabolic processes and products. Arginine plays an important role in various metabolic processes and homeostasis of the microbial flora and the host. This study aims to explore the potential therapeutic value of arginine and its metabolism and homeostasis regulation in diseases associated with oral-intestinal dysbiosis. Host and microbial homeostasis can be restored by regulating the composition or function of host microbiota, and arginine has been found to exhibit significant clinical potential in restoring host microbiota composition and function. For example, arginine can reduce the risk of caries by regulating the relative abundance of Streptococcus mutans and Streptococcus sanguineus. Additionally, arginine metabolism may play a therapeutic role in inflammatory bowel disease and obesity by regulating the relative abundance of Firmicutes and Bacteroidetes. In addition, supplementation of arginine and its metabolite polyamine has clinical prospects in the treatment of diabetic patients with ketoacidosis. Although studies have demonstrated the therapeutic role of arginine in oral, intestinal, and metabolism-related diseases, the specific mechanism is yet to be explored. In addition, further research is required to determine the optimal clinical dosage of arginine that can maintain microbiota homeostasis without causing any side effects.

Ferroptosis is an iron-dependent form of regulated cell death,which is distinct from apoptosis,ne-crosis,and pyroptosis.Recent studies have found that activators of ferroptosis,such as Erastin,can activate autophagy-re-lated proteins,induce the formation of autophagosomes,and ultimately release ferric ions to mediate ferroptosis.This pro-cess,called ferritinophagy,is initiated by the binding of an autophagic cargo receptor protein,nuclear receptor coactivator 4(NCOA4),to iron-laden ferritin.The transfer of NCOA4-ferritin to the lysosome by ferritinophagy results in the proteoly-sis of ferritin,and,in turn,the release of its iron content and lipid-reactive oxygen species(ROS)accumulation.Ferritin-ophagy has been closely associated with central nervous system disorders,circulatory system diseases,and cancer.Fur-thermore,the regulation mechanism of ferritinophagy is also a hot topic in the study of iron-dependent cell death process.With the in-depth study of ferritinophagy,great progress has been made in the study of key components of ferritinophagy as well as its molecular mechanisms and processes.However,a comprehensive summary of the methods for detecting ferritin-ophagy is still unclear.To further deepen the understanding of ferritinophagy and its detection methods,this review focus-es on the concept,characteristics,methods,and precautions during detection of ferritinophagy.This review provided ex-perimental reference for subsequent researchers and promoting the progress of research related to ferritinophagy.