Objective: To investigate the effect of the senescence state of parental human bone marrow mesenchymal stem cells (BMSCs) on the osteoinductive properties of their derived apoptotic vesicles (apoVs), and to provide an experimental basis and a quality control reference for the treatment of alveolar bone defects and osteoporosis based on apoVs. Methods: A replicative senescence model of human aging BMSCs (A-BMSCs) was established via serial passaging, with young BMSCs (Y-BMSCs) serving as controls. Following the induction of apoptosis with staurosporine, apoVs were isolated from Y-BMSCs and A-BMSCs (termed Y-apoVs and A-apoVs, respectively) via differential centrifugation. The physicochemical properties (morphology, size, zeta potential, and yield) and protein markers of both apoV populations were systematically characterized. Subsequently, Y-BMSCs were divided into a proliferation medium (PM) group, osteogenic induction medium (OM) group, OM + Y-apoVs group, and OM + A-apoVs group. The osteoinductive efficacy in vitro was evaluated by alkaline phosphatase (ALP) staining, alizarin red S staining, and quantitative real-time PCR detection of key osteogenic genes, including runt-related transcription factor 2 (RUNX2), ALP, osteopontin (OPN), and osterix (OSX). Approved by the Institutional Animal Care and Use Committee, in vivo biodistribution (labelling apoVs with the red fluorescent dye PKH26) and bone regeneration efficacy were assessed in 18-month-old osteoporotic C57BL/6 mice. Mice were randomly divided into a control group (injected with phosphate-buffered saline), Y-apoVs group (injected with Y-apoVs), and A-apoVs group (injected with A-apoVs). Following tail-vein injection administration of apoVs for 8 weeks, bone regeneration was evaluated via micro-computed tomography and histological analysis. Results: Electron microscopy and particle size analysis revealed that both Y-apoVs and A-apoVs displayed typical biconcave discoid structures, with diameters mainly ranging from 100 to 500 nm. Western blot assays confirmed high expression of universal vesicle markers (CD9, CD63, CD81) and the apoptotic marker Fas in both groups. Y-apoVs and A-apoVs exhibited indistinguishable morphologies, size distributions, zeta potentials, and yields. In vitro experiments showed that, compared with the PM group, the OM, OM + A-apoVs, and OM + Y-apoVs groups significantly enhanced ALP activity, calcium nodule formation, and the expression of osteogenic genes (RUNX2, ALP, OPN, OSX) in recipient Y-BMSCs (P<0.05); moreover, compared with the OM and OM + A-apoVs groups, the OM + Y-apoVs group exhibited a more significant promoting effect (P<0.05). An in vivo analysis demonstrated that tail-vein-injected apoVs effectively homed to bone tissue. Moreover, the Y-apoVs group significantly improved trabecular microarchitecture, bone mineral density, and bone volume fraction in aged mice, exhibiting superior therapeutic efficacy over the control and A-apoVs groups (P<0.05) Conclusion The senescence state of parental cells significantly impairs the osteoinductive ability of BMSC-derived apoVs. Y-apoVs are effective biological agents for the treatment of age-related bone loss.

[摘 要] 目的：探究西贝素通过调控Cyclin D1介导的CDK4/6-Rb-E2F1信号轴对人胃腺癌细胞（AGS）的增殖抑制效果及其分子机制。方法：利用不同浓度的西贝素处理AGS和人正常胃黏膜上皮细胞（GES-1），通过CCK-8检测和结晶紫染色实验确定西贝素的最适抑制剂量和作用时间；采用划痕实验和Transwell迁移实验与侵袭实验检测西贝素对AGS细胞迁移与侵袭能力的影响；利用流式细胞术和WB检测西贝素对AGS细胞周期及细胞周期相关蛋白表达的影响；利用质粒过表达Cyclin D1，并通过WB检测、结晶紫染色实验、划痕实验和Transwell迁移实验与侵袭实验进一步明确西贝素的抑制机制；构建AGS移植瘤裸鼠模型，采用免疫荧光染色法和免疫组化检测Cyclin D1、CDK4、CDK6、Rb、p-Rb、E2F1的表达水平。结果：与对照组相比，西贝素药物浓度为100 μg/mL时，对GES-1细胞的增殖无影响（P > 0.05），但能够显著性抑制AGS细胞增殖、迁移和侵袭能力（P < 0.01），并诱导AGS细胞周期G0/G1期阻滞，显著抑制周期相关蛋白Cyclin D1、CDK4、CDK6、p-Rb、E2F1的表达水平（P < 0.05或P < 0.01）；Cyclin D1过表达能够显著降低西贝素对AGS细胞的抑制效果（P < 0.05或P < 0.01）；荷瘤裸鼠实验结果显示，西贝素能够抑制AGS移植瘤的增殖，影响肿瘤组织中Cyclin D1、CDK4、CDK6、p-Rb、E2F1的表达（P < 0.01）。结论：西贝素可能通过下调Cyclin D1介导的CDK4/6-Rb-E2F1信号轴活化抑制AGS增殖。

The brain-gut interaction theory is a multidimensional integrative concept based on the brain-gut axis， involving neural， endocrine， and immune regulatory networks as well as the gut microbiota. Zang-fu organs （脏腑） theory in traditional Chinese medicine （TCM） shows a high degree of consistency with the brain-gut interaction theory， and the core functions such as the spleen and stomach governing the ascending of the clear and descending of the turbid， the liver governing the free flow of qi， and the heart governing mental and emotional activities are closely associated with the multi-level regulatory mechanisms of the brain-gut axis. TCM therapy can modulate brain-gut interactions through multiple pathways in the treatment of spleen and stomach diseases， including the regulation of gastrointestinal hormone secretion， neurotransmitter levels， the hypothalamic-pituitary-adrenal （HPA） axis， immune homeostasis and inflammatory responses， as well as the gut microecology. However， current basic research on the brain-gut interaction theory in TCM for spleen and stomach diseases still faces several challenges， such as difficulties in integrating TCM spleen-stomach theory with modern pathophysiology， lack of innovation in research concepts， and limitations in research methodologies. It is therefore proposed that multidisciplinary collaboration， multi-omics technologies， and targeted research approaches should be adopted to provide more comprehensive methods for basic research on TCM spleen and stomach diseases， thereby promoting the in-depth development of brain-gut interaction theory.

ObjectiveTo observe the clinical efficacy and radiographic outcomes of manipulative reduction combined with small splint fixation in the treatment of distal radius fractures. MethodsThe clinical data of 1051 patients with distal radius fractures were retrospectively collected from five hospitals included in the Jiangsu Diagnosis and Treatment Data Platform for Traditional Chinese Medicine（TCM） Dominant Diseases. Propensity score matching at a 1∶4 ratio was applied， resulting in 580 cases selected for final analysis， which comprised 448 patients in the TCM group（manipulative reduction plus small splint fixation） and 132 in the surgical treatment group（open reduction and internal fixation）. Each group was further stratified into type A， B， and C subgroups based on AO fracture classification. Radiographic indicators including palmar tilt， radial inclination， and radial height were compared between groups before treatment and 1 day， 1 week， and 4-6 weeks after treatment， and pain visual analog scale（VAS） scores before treatment and 1 week and 4-6 weeks after treatment were also compared. Wrist joint function was assessed 12 weeks after treatment， using the Dienst wrist function score and the Gartland and Werley（G-W） wrist function score. Additionally， the radiographic indicators at different timepoints and the 12-week wrist function levels were compared between groups across different fracture types. ResultsNo statistically significant difference was observed in radiographic indicators and VAS scores at all timepoints before and after treatment， as well as wrist joint function grades assessed by the Dienst score and the G-W score at 12 weeks after treatment （P＞0.05）. Compared to those before treatment， both groups showed increased palmar tilt， radial inclination， and radial height 1 week and 4-6 weeks after treatment， and decreased VAS scores （P＜0.05）. Compared to those 1 week after treatment， both groups showed a decrease in palmar tilt， an increase in radial inclination and radial height， and a reduction in VAS score 4-6 weeks after treatment（P＜0.05）. In type A and B subgroups， the surgical treatment group had a higher radial inclination than the TCM group 4-6 weeks after treatment， while in the type C subgroup， a higher radial height was shown in the surgical treatment group than in the TCM group 4-6 weeks after treatment（P＜0.05）. In type C subgroup， there was significant difference between groups in the wrist joint function by G-W scores 12 weeks after treatment（P＜0.05）. ConclusionManipulative reduction combined with small splint fixation can maintain fracture alignment and alleviate pain in treating distal radius fractures， which achieves therapeutic outcomes comparable to surgical treatment. It is particularly suitable for type A and B fractures and can be considered an effective treatment option for distal radius fractures.

Objective To analyze the prevalence characteristics and influencing factors of metabolic syndrome (MS) in people aged 35-75 years in Hubei Province. Methods The follow-up data from 2016 to 2022 in the early screening and comprehensive intervention project for high-risk cardiovascular population in Hubei Province were collected. SAS 9.4 software was used to conduct 2-test and multivariate logistic regression to analyze the prevalence of MS and its influencing factors. Results Among the 89 199 subjects, 24 757 were affected by MS, with a prevalence rate of 27.75% and a standardized rate of 23.55%. Among the various components of MS, the prevalence of abnormal blood pressure was the highest, at 70.88%, and the standardized rate was 59.32%. Secondly, abnormal blood glucose was 36.26%, and the standardized rate was 30.04%. Central obesity was 33.12%, and the standardized rate was 30.28%. Hypertriglyceridemia was 32.90%, and the standardized prevalence rate was 32.70%. The rate of low HDL-C syndrome was 10.25%, and the standardized rate was 11.67%. The results of multivariate logistic regression analysis showed that the risk of MS increased with age, and the risk of MS in urban residents was lower than that in rural residents (OR=0.835, 95%CI: 0.77-0.886). Administrative and professional workers had a higher risk of MS than farmers (OR=1.313, 95%CI:1.194-1.445). Overweight, obesity, central obesity, history of self-reported hypertension, history of self-reported diabetes, and history of self-reported dyslipidemia were associated with a higher risk of MS, and the differences were statistically significant (P < 0.001). Conclusion The prevalence of MS is high in people aged 35-75 years in Hubei Province. On the basis of comprehensive intervention, focus monitoring should be strengthened to control the risk factors of MS and reduce the risk of cardiovascular and cerebrovascular diseases.

Objective To explore the risk prediction model of major adverse cardiovascular events (MACE) in community patients with hypertension based on remote ambulatory blood pressure parameters. Methods From November 2023 to October 2024, 486 community patients with hypertension who received standardized management in Nanjing Medical University Affiliated to Suzhou Hospital were retrospectively selected. All patients wore remote ambulatory blood pressure monitor to obtain 24-hour ambulatory blood pressure data. Clinical data were collected and remote ambulatory blood pressure parameters [24-hour systolic blood pressure variability (SBPV), 24-hour diastolic blood pressure variability (DBPV), nighttime SBPV, nighttime DBPV, daytime SBPV, daytime DBPV] were extracted. The patients were followed up for 12 months, and were classified into MACE group (n=42) and non-MACE group (n=444) according to whether MACE occurred during follow-up. Multivariate Logistic regression analysis was adopted to screen the influencing factors for MACE. Based on the above factors, a risk prediction model was constructed and verified by receiver operating characteristic (ROC) curve. Results MACE occurred in 42 cases among 486 patients, with an incidence rate of 8.64%. Multivariate Logistic regression analysis suggested that nighttime DBPV (OR=1.119, 95%CI: 1.030-1.214), 24h-SBPV (OR=1.115, 95%CI: 1.007-1.235), nighttime SBPV (OR=1.116, 95%CI: 1.016-1.226) and diabetes mellitus (OR=2.762, 95%CI: 1.059-7.203) were independent factors for MACE (P<0.05). The model validation results revealed that the area under the ROC curve was 0.905 (95%CI: 0.854-0.956 ), and the model had a good discrimination degree. Conclusion Nighttime DBPV, 24h-SBPV, nighttime SBPV and diabetes mellitus are independent risk factors for MACE in community patients with hypertension. The clinical prediction model based on these variables exhibits certain predictive value on MACE risk.

Objective To investigate the prevalence of cognitive frailty and its associated factors among middle-aged and elderly patients with chronic obstructive pulmonary disease (COPD) in Gusu District, Suzhou City, to provide a basis for intervention measures. Methods COPD patients managed at Pingjiang New Town Community Health Service Center in Gusu District from January to December 2024 were selected. Data were collected using the Fried Frailty Phenotype, Mini-Mental State Examination, and a general information questionnaire. Chi-square tests, one-way analysis of variance, and multivariate Logistic regression were used for data analysis. Results A total of 1 388 patients were included, with 916 males (65.99%) and 472 females (34.01%). Cognitive frailty was observed in 554 cases (prevalence: 39.91%). Univariate analysis showed significant differences in gender, education, visual impairment, hearing impairment, sleep disorders, and disease duration between the cognitive frailty and non-cognitive frailty groups (all P<0.05). Multivariate Logistic regression indicated that education was negatively associated with cognitive frailty (illiteracy OR=6.969, P<0.001; primary school OR=1.499, P=0.005), while visual impairment (OR=2.347, P<0.001), hearing impairment (OR=1.705, P<0.001), sleep disorders (OR=2.488, P<0.001), and disease duration (≤5 years OR=0.329, P<0.001; 6-10 years OR=0.487, P<0.001) were positively associated with cognitive frailty. Conclusion The prevalence of cognitive frailty among middle-aged and elderly COPD patients in Gusu District, Suzhou City, is high (39.91%). Epositively associated with cognitive frailtyducation, sensory impairments, sleep disorders, and disease duration are associated factors. Clinical attention to high-risk groups and implementation of early screening and targeted interventions are recommended.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveTo investigate the epidemiological characteristics of human brucellosis (hereinafter referred to as brucellosis) in Baoshan City, Yunnan Province, and to provide scientific evidence for adjusting prevention and control strategies. MethodsBased on the surveillance data of reported brucellosis cases in Baoshan City from 2020 to 2023 and the information collected through individual epidemiological questionnaire surveys, the epidemic status and clinical characteristics of brucellosis in Baoshan City were analyzed using descriptive epidemiological methods. ResultsA total of 85 brucellosis cases were reported in Baoshan City from 2020 to 2023, and detailed individual information was obtained for 83 of them. Brucellosis in Baoshan City showed a clear seasonal pattern, with peak incidence from May to September. The average annual incidence rate was 0.80/100 000, with a male-to-female ratio of 7.5∶1. And 82.35% of the cases aged 30 to 60 years, with farmers being the predominant affected group. The main clinical manifestations of the cases were myalgia and arthralgia. Regarding transmission routes, 87.95% of the cases had a contact history with cattle, with livestock rearing and grazing being the main exposure modes. Most infections occurred at home. ConclusionFrom 2020 to 2023, the incidence of brucellosis in Baoshan City exhibited a fluctuating upward trend, with a peak period from May to September. Males and farmers were identified as the primary affected populations. It is recommended to strengthen livestock surveillance and control, and to enhance both awareness and self-protection capacity among high-risk groups.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.