BACKGROUND:During bone remodeling,bone formation and bone resorption are spatially and temporally coordinated,involving intricate interactions between osteoclasts and osteoblasts.Isoginkgetin,a flavonoid found in Ginkgo biloba,has a wide range of anticancer activity and anti-reactive oxygen species activity;however,the effect of isoginkgetin on osteoclast differentiation is unknown.OBJECTIVE:To study the effect and mechanism of action of isoginkgetin on osteoclastogenesis.METHODS:In vitro studies were performed on mouse bone marrow-derived macrophages,and cell counting kit-8 cytotoxicity assay was used to detect the effect of isoginkgetin on cell viability of bone marrow-derived macrophages.Macrophage colony-stimulating factor and receptor activator of nuclear factor kappa-B ligand were used to induce the differentiation of bone marrow-derived macrophages to osteoclasts.Network pharmacology and molecular docking and molecular dynamics simulations were used to predict the processes and targets of the effects of isoginkgetin on the differentiation of osteoclasts.Tartrate-resistant acid phosphatase staining and F-actin staining were used to detect the effects of isoginkgetin on the differentiation and function of osteoclasts.Western blot and RT-PCR were used to detect the effects of isoginkgetin on the expression of genes and proteins related to osteoclast differentiation,reactive oxygen species,and PI3K/AKT pathways.Fluorescent probes were used to detect cellular and mitochondrial reactive oxygen species levels.Flow cytometry technology was used to detect reactive oxygen species levels in cells.RESULTS AND CONCLUSION:(1)Network pharmacology results showed that isoginkgetin affected osteoporosis mainly through the PI3K-AKT pathway and cellular response to drugs and hypoxia,and GSK3β,ESR1,MCL1 and CCNA2 were the key targets.(2)Cell counting kit-8 and tartrate-resistant acid phosphatase staining results showed that isoginkgetin at 8 μmol/L had the most significant inhibitory effect on osteoclastogenesis in vitro,and F-actin results showed that isoginkgetin inhibited osteoclast cytoskeletal actin ring formation in a concentration-dependent manner.(3)Molecular dynamics simulations showed that isoginkgetin bound well to osteoclastogenesis marker proteins(NFATc1,c-Fos,CTSK,and MMP9).Western blot and RT-PCR results indicated that isoginkgetin inhibited the expression of osteoclastogenesis marker proteins and genes(NFATc1,c-Fos,CTSK,and MMP9).(4)Western blot results showed that isoginkgetin inhibited the phosphorylation level of PI3K/AKT/GSK3β and suppressed osteoclastogenesis by activating the PI3K-AKT-GSK3β pathway.(5)The results of reactive oxygen species assay showed that isoginkgetin significantly reduced receptor activator of nuclear factor kappa-B ligand-induced cellular and mitochondrial reactive oxygen species production,and inhibited the differentiation of bone marrow-derived macrophages to osteoclasts.

BACKGROUND:β-Caryophyllene has a variety of pharmacological activities such as antioxidant,anti-inflammatory and anti-apoptotic,which may have a better therapeutic effect on osteoarthritis.OBJECTIVE:To investigate the effect and mechanism of β-caryophyllene on mouse osteoarthritis.METHODS:Forty C57BL/6J mice were randomly divided into sham group,model group,low-dose β-caryophyllene group and high-dose β-caryophyllene group,with 10 mice in each group.Hulth method was used to construct an osteoarthritis model in the latter three groups.Four weeks after modeling,70 and 140 mg/kg/d β-caryophyllene was intragastrically given in the low-and high-dose β-caryophyllene groups,respectively,and normal saline was given by gavage in the sham group and the model group,once a day,for 4 weeks.After administration,knee joint morphological changes were observed by hematoxylin-eosin staining,serum levels of inflammatory factors(tumor necrosis factor-α,interleukin-1β,interleukin-6,and interleukin-10)were detected by ELISA,and oxidative stress indexes(glutathione peroxidase,superoxide dismutase,and malondialdehyde)were detected by chemiluminescence.The expression levels of key proteins in the Sonic hedgehog(Shh)/glioma associated oncogene homolog 1(Gli1)signaling pathway were detected by immunohistochemistry and western blot.RESULTS AND CONCLUSION:(1)Compared with the sham group,a large number of inflammatory cells infiltrated in the knee joint of mice in the model group,cartilage tissue was seriously damaged,serum levels of tumor necrosis factor-α,interleukin-1β,interleukin-6,interleukin-10 and malondialdehyde were significantly increased(P＜0.01),the activities of glutathione peroxidase and superoxide dismutase were significantly decreased(P＜0.01),and the relative expression levels of Shh and Gli1 in the knee joint were significantly increased(P＜0.01).(2)Compared with the model group,in the low-and high-dose β-caryophyllene groups,inflammatory cell infiltration in the mouse knee joint was decreased,cartilage tissue injury was alleviated,serum levels of tumor necrosis factor-α,interleukin-1 β,interleukin-6 and malondialdehyde were significantly decreased(P＜0.05),the activities of glutathione peroxidase and superoxide dismutase were significantly increased(P＜0.01),and the expression levels of Shh and Gli1 in the knee joint were significantly decreased(P＜0.01).The above-mentioned improvements were more significant in the high-dose β-caryophyllene group than the low-dose β-caryophyllene group.To conclude,β-caryophyllene can improve osteoarthritis,and its mechanism may be related to reducing inflammation and oxidative stress damage by regulating the Shh/Gli1 signaling pathway.

BACKGROUND:Oral submucous fibrosis is a chronic progressive disease that is prone to malignant transformation.Traditional treatment methods are not ideal and have limitations.As an emerging discipline,tissue engineering has opened up a new path for the treatment of oral submucous fibrosis.OBJECTIVE:To review the latest progress in the pathogenesis and treatment of oral submucous fibrosis,and to summarize and analyze the role and research progress of mesenchymal stem cells,bioscaffold materials,and tissue-engineered oral mucosa in oral submucous fibrosis,thereby providing ideas for the research and clinical application of tissue engineering in the treatment of oral submucous fibrosis.METHODS:In October 2024,the first author used computers to search for relevant literature from January 1970 to October 2024 in PubMed and CNKI databases.The search terms were"oral submucous fibrosis,tissue engineering,mesenchymal stem cells,bioscaffold materials"in English and Chinese,respectively.A total of 166 articles were finally included for analysis.RESULTS AND CONCLUSION:(1)The pathogenesis of oral submucous fibrosis is complex,and many factors are closely related to oral submucous fibrosis,but ultimately they promote the development of oral submucous fibrosis by promoting collagen deposition and accelerating fibroblast proliferation.(2)Traditional treatment methods for oral submucous fibrosis have problems such as low patient compliance and unsatisfactory results,and new treatment strategies are urgently needed.(3)Mesenchymal stem cells regulate the pathological microenvironment,reduce inflammation and inhibit the process of fibrosis due to their immunomodulatory and antioxidant properties,providing a new idea for the treatment of oral submucous fibrosis.(4)Biomass materials,as drug and cell delivery carriers,regulate the pathological microenvironment and are used in various fibrotic diseases,providing a new solution for the treatment of oral submucous fibrosis.(5)Tissue-engineered oral mucosa can be used as an autologous mucosa substitute to promote tissue repair,and also provides a basis for the establishment of disease models.(6)Tissue engineering treatment strategy has great potential for achieving comprehensive treatment of oral submucous fibrosis,but its role in the treatment of oral submucous fibrosis has not yet been verified.It is of great significance to explore tissue engineering-based treatment strategies for oral submucous fibrosis in the future.

OBJECTIVE:Based on different algorithms of machine learning,the prediction model of lumbar disc herniation has become a trend and hot spot in the development of precision medicine.However,there is limited evidence on the reporting quality and methodological quality of prediction models of lumbar disc herniation outcomes using machine learning.This article is aimed to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation by comprehensively analyzing the report quality and risk of bias of previous studies that developed and validated prognosis prediction models based on machine learning through a comprehensive literature search,in order to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation.METHODS:The databases of CNKI,WanFang,VIP,SinOMED,PubMed,Web of Science,Embase,and The Cochrane Library were searched by computer.Studies on the use of machine learning to develop(and/or validate)prognostic prediction models for lumbar disc herniation were collected from the inception of the database to December 31,2023.Two researchers independently screened the literature,extracted data,and assessed the risk of bias of the included studies.The reporting quality and risk of bias of the included studies were assessed by the Multivariable Transparent Reporting of Predictive Models(TRIPOD)statement and the Predictive Model Risk of Bias Assessment Tool(PROBAST).The results of the evaluation were analyzed using descriptive statistics and visual charts.RESULTS:(1)A total of 23 articles were included,and the TRIPOD compliance of each study ranged from 11％to 87％,with a median compliance of 54％.The quality of reporting of titles,detailed descriptions of treatment measures,blinding of predictors,handling of missing data,details of risk stratification,specific procedures for enrollment,model interpretation,and model performance was mostly poor,with TRIPOD adherence rates ranging from 4％to 35％.(2)Of all included studies,61％had a high risk of bias and 39％had an unclear overall risk of bias.The area under the curve,accuracy,sensitivity and specificity were used to evaluate the performance of the model.The areas under the curve of 20 models were reported,ranging from 0.561 to 0.999.Three models reported the accuracy of the model,ranging from 82.07％to 89.65％.(3)Among all included studies,the statistical analysis domain was most often assessed as having a high risk of bias,mainly due to the small number of valid samples,the selection of predictors based on univariate analysis and the lack of calibration and discrimination assessment of the model in the study.CONCLUSION:These results indicate that machine learning can achieve good predictive ability in the development and validation of prognostic models for lumbar disc herniation.The commonly used algorithms include regression algorithm,support vector machine,decision tree,random forest,artificial neural network,naive Bayes and other algorithms.Reasonable algorithms combined with clinical practice can improve the accuracy of prognosis prediction of lumbar disc herniation.However,the reporting and methodological quality of prognosis prediction models based on machine learning are poor,the prediction performance of different models varies greatly,and the generalization and extrapolation of research models are unclear.There is an urgent need to improve the design,implementation and reporting of such studies.To promote the application of machine learning in the clinical practice of lumbar disc herniation prediction models,it is necessary to comprehensively consider various predictors related to the prognosis of the disease before modeling,and strictly follow the relevant standards of PROBAST tool during modeling.

BACKGROUND:H-type vessels(CD31hiEmcnhi)possess unique functionalities that offer new perspectives and entry points for comprehensively understanding the mechanisms of vascular-mediated bone metabolism regulation.This has triggered a significant paradigm shift in bone science research from a"bone-centric"approach to an"integrative bone-vascular"framework.OBJECTIVE:To perform a visual analysis based on literature data in the field of H-type vessels,aiming to identify research hotspots and emerging trends.METHODS:A systematic search was conducted in the CNKI and Web of Science databases for English and Chinese publications related to H-type vessels,covering the period from 2014 to 2024.The CiteSpace 6.2.R4 information visualization software was utilized to analyze and visualize data on publication countries,authors,institutions,keywords,and timeline views.RESULTS AND CONCLUSION:(1)A total of 59 Chinese and 185 English publications were included in the analysis.Since the introduction of the H-type vessel concept in 2014,the number of related research publications has been steadily increasing,accompanied by a significant growth in academic output.China leads the research in this domain,with major institutions including Southern Medical University,Sichuan University,and Shanghai Jiao Tong University.Keyword analysis indicated that current research hotspots primarily focus on the generation and regulatory mechanisms of H-type vessels,their roles in bone formation and remodeling,and their associations with bone metabolic diseases.Additionally,emerging keywords such as"induced membrane,""cartilage repair,"and"traditional Chinese medicine"suggest that research is progressively moving towards diversification and multidisciplinary integration.(2)H-type vessels play a crucial role in the development and progression of bone diseases,and relevant studies are pivotal for a deeper understanding of the physiological and pathological processes of bone tissue.Future research should further elucidate the specific mechanisms of H-type vessels in various disease contexts and promote the clinical translation of basic research findings.These efforts will provide innovative ideas and strategies for the prevention and treatment of bone-related diseases.

Objective: To explore whether the long-term and frequent use of citrate anticoagulants negatively affects the bone metabolism balance of female frequent plateletpheresis donors, so as to better protect their health. Methods: A total of 65 female plateletpheresis donors and 55 female whole-blood donors from Guangzhou Blood Center (May to December 2024) were enrolled as experimental and control groups respectively, stratified into age subgroups (18-39 years and 40-60 years). Serum levels of 25-hydroxyvitamin D [25(OH)D], procollagen type I N-terminal propeptide (PINP), osteocalcin (OC), and type I collagen carboxy-terminal telopeptide (CTX) were measured. Differences in bone metabolism markers between experimental and control groups across age subgroups were compared. ANOVA was used to analyze dose-response relationships between donation age, annual apheresis donation frequency, and biochemical indicators. Results: In the 40-60 age subgroup, 25(OH)D levels were significantly lower in the experimental group (P<0.05), exhibiting a linear increase with age and a linear decrease with annual donation frequency. No significant differences in CTX or PINP levels were observed between experimental and control groups in either age subgroup. Conclusion: High-frequency plateletpheresis donation does not disrupt bone metabolic balance in female donors. However, it is associated with reduced vitamin D levels in female donors aged >40 years, potentially increasing the risk of osteoporosis. Vitamin D supplementation is recommended for high-frequency female plateletpheresis donors in this age group.

Rheumatoid arthritis （RA） is a common chronic systemic autoimmune disease with synovitis as the main manifestation， which often causes joint swelling and pain or even deformity. It is considered to be an incurable lifelong disease. Although the current Western medicine treatment can alleviate the progression of the disease， it has the clinical limitations of liver injury， cardiovascular complications， and other adverse reactions， along with easy recurrence. Traditional Chinese medicine （TCM） has a long history and has the advantages of individualized treatment and fewer adverse reactions. It can effectively relieve the symptoms of joint swelling and pain in RA patients and slow down the progression of bone destruction， which has attracted wide concern in the medical community. Janus kinase （JAK）/signal transducer and activator of transcription （STAT） signaling pathway is an important intracellular pathway involved in cell proliferation， differentiation， apoptosis， immune regulation， and other biological behaviors， and plays an important role in the pathophysiological process of RA. In recent years， many studies have confirmed that TCM monomers and compounds can inhibit inflammation and angiogenesis by regulating the JAK/STAT signaling pathway， induce apoptosis and inhibit proliferation of fibroblast-like synoviocytes （FLS）， regulate immune response， and thus exert an effect in the treatment of RA. However， there is still a lack of comprehensive and systematic induction and overview. Therefore， by searching the relevant literature in China National Knowledge Infrastructure （CNKI） and PubMed databases from 2009 to 2024， this study described the mechanism of the JAK/STAT signaling pathway in the occurrence and development of RA and summarized the research progress of TCM monomers and compounds in regulating the JAK/STAT signaling pathway in RA intervention. The study aims to provide new ideas and strategies for the clinical treatment of RA with TCM and the research and development of new drugs.

This paper systematically reviews the current status of integrated traditional Chinese and western medicine in the treatment of Helicobacter pylori （Hp） infection， as well as recent progress in clinical and basic research both in China and internationally. It summarizes the advantages of traditional Chinese medicine （TCM） in Hp infection management， including improving Hp eradication rates， enhancing antibiotic sensitivity， reducing antimicrobial resistance， decreasing drug-related adverse effects， and ameliorating gastric mucosal lesions. These advantages are particularly evident in patients who are intolerant to bismuth-containing regimens， those with refractory Hp infection， and individuals with precancerous gastric lesions. An integrated， whole-process management approach and individualized， staged comprehensive treatment strategies combining TCM and western medicine are proposed for Hp infection. Future prevention and control of Hp infection should adopt an integrative Chinese-western medical strategy， emphasizing prevention， strengthening primary care， implementing proactive long-term monitoring， optimizing screening strategies， and advancing the development of novel technologies and mechanistic studies of Chinese herbal interventions. These efforts aim to provide a theoretical basis and practical pathways for the establishment and improvement of Hp infection prevention and control systems.

Childhood obesity has become a global public health issue. Current research indicates that early life obesogen exposure has emerged as a significant risk factor for childhood obesity. While obesogens have been confirmed to influence the development and progression of childhood obesity through mechanisms such as endocrine disruption and epigenetic programming, controversies remain regarding the establishment of causal relationships, assessment of combined exposures, and validation of transgenerational effects in humans. In recent years, novel approaches including multi-omics technologies, exposome-based analysis, and multigenerational cohort studies have integrated dynamic biomarker monitoring with analyses of social-environmental interactions, offering new perspectives and methodologies for constructing a systematic "exposure-mechanism-outcome" research framework. This article reviews literature from PubMed and Web of Science up to August 2025 on the association between early life obesogen exposure and childhood obesity, summarizing evidence on the health effects of early life obesogen exposure, major exposure pathways and internal exposure assessment, interactions and amplifying effects of social and environmental factors, as well as the biological mechanisms underlying obesogen action. It further examines current research frontiers and challenges, aiming to provide a theoretical foundation for early prevention and precision intervention of childhood obesity.

Objective: To investigate the late identification and its influencing factors of newly reported HIV/AIDS cases in Linhai City, Zhejiang Province from 2015 to 2024, so as to provide a basis for formulating targeted AIDS prevention and control strategies. Methods: Data on newly reported HIV/AIDS cases in Linhai City from 2015 to 2024, including demographic characteristics and detection modes, were collected through the HIV/AIDS Comprehensive Control System of the Chinese Disease Prevention and Control Information System. The new identification rate and late identification proportion of HIV/AIDS cases were analyzed. The average annual percent change (AAPC) was used to assess trends in both the new identification rate and late identification proportion from 2015 to 2024. Multivariable logistic regression model was used to analyze the influencing factors for late identification among HIV/AIDS cases. Results: A total of 589 newly reported HIV/AIDS cases were documented in Linhai City from 2015 to 2024. The new identification rate declined from 5.08/105 in 2015 to 3.53/105 in 2024 (AAPC=-6.161%, P<0.05). Among them, 225 cases were late identified. After excluding 4 cases with inferred late identification, the late identification proportion increased from 24.53% in 2015 to 58.97% in 2024 (AAPC=7.595%, P<0.05). Multivariable logistic regression analysis indicated that age ≥25 years (25~<50 years, OR=3.569, 95%CI: 1.567-8.130; ≥50 years, OR=8.683, 95%CI: 3.440-21.917) and passive detection (OR=1.730, 95%CI: 1.022-2.928) were associated with a higher risk of late identification. In contrast, being married or having a spouse (OR=0.565, 95%CI: 0.332-0.960) was associated with a lower risk of late identification. Conclusions The new identification rate of HIV/AIDS cases in Linhai City from 2015 to 2024 showed a downward trend, while the proportion of late identification exhibited an upward trend. Age, marital status, and detection mode were identified as influencing factors for late identification among HIV/AIDS cases.