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.

This paper explores the differentiation and treatment strategies for pediatric IgA vasculitis based on the correlation between blood trubidity theory and oxidative stress. It is proposed that pediatric IgA vasculitis follows an evolution of pathogenesis characterized by "deficiency of healthy qi leading to turbidity generation， accumulation of turbid toxin， and toxin damage to the collateral vessels"， which corresponds to the pathological process of oxidative stress， namely decreased antioxidant capacity with accumulation of reactive oxygen species， metabolite deposition， and endothelial cell injury. A staged treatment strategy is proposed. In the acute stage， wind-toxin invading the colla-terals and reckless movement of heat in the blood are the main manifestations， for which the treatment should focus on dispelling wind and venting pathogens， resolving toxins and unblocking the collaterals， with a modified Yinqiao Powder （银翘散） and Xijiao Dihuang Decoction （犀角地黄汤） to regulate oxidative stress burst. In the prolonged stage， intermingling of turbidity and stasis with collateral obstruction is emphasized； treatment should focus on resolving turbidity and dispelling stasis， harmonizing the blood and stabilizing the collaterals， and a modified Simiao Powder （四妙散） and Taohong Siwu Decoction （桃红四物汤） can be used to improve microcirculatory dysfunction. In the remission stage， when healthy qi remains insufficient and residual pathogens persist， treatment should focus on strengthening the root and clearing the source， reinforcing healthy qi and nourishing the collaterals， for which modified Zhibai Dihuang Pill （知柏地黄丸） and Yupingfeng Powder （玉屏风散） is suggested to rebuild the antioxidant defense system.

This paper introduces professor WU Rongzu's clinical experience in using Fuyang Tongmi Decoction （扶阳通秘汤， FTD） to treat irritable bowel syndrome with constipation （IBS-C）. It is believed that yang qi depletion， water cold， earth dampness， and wood constraint are the key pathogenesis.The treatment principle is warming water， drying the earth and venting wood， with the basic formula FTD adjusted according to the symptoms. This approach aims to transport the qi movement of the middle jiao （焦） and support the recovery of intestinal function of directing turbidity downward， providing a treatment strategy for IBS-C caused by yang deficiency.

Objective To analyze the genetic characteristics and variations of influenza A (H3N2) viruses in Ma'anshan from 2022 to 2024, and to provide a scientific basis for local influenza prevention and control. Methods From April 2022 to March 2024, influenza-like illness (ILI) specimens were collected from three national influenza surveillance sentinel hospitals in Ma’anshan. Samples positive for influenza by real-time PCR were subjected to virus culture and identification. A total of 40 representative A/H3N2 strains with hemagglutination titers ≥8 were selected for whole-genome sequencing. Genetic evolution, homology, amino acid variations, and glycosylation sites were analyzed. Results All H3N2 representative strains from the 2022–2023 influenza season belonged to clade 3C.2a1b.2a.1a.1, while those from the 2023–2024 season fell into clade 3C.2a1b.2a.2a.3a.1. The nucleotide and amino acid sequence similarities of HA and NA between the 40 representative strains and the vaccine strain A/Darwin/6/2021 were all above 97.35%. Compared with the vaccine strain, amino acid mutations were identified in antigenic sites A, B, C, and E, as well as in receptor-binding sites of the HA protein. An I222V substitution was detected in the NA protein. The HA protein contained four additional glycosylation sites compared to the vaccine strain, while the glycosylation pattern of the NA protein remained consistent. Conclusion No antigenic drift was observed in the influenza A/H3N2 viruses in Ma'anshan City from 2022 to 2024, but genetic changes such as branching variations, key amino acid substitutions, and an increase in HA glycosylation sites were observed. These findings underscore the importance of sustained molecular surveillance of local influenza viruses.

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 compare the mosquito capture efficacy of the BG-trap method and the light trap method, and to explore the precisely applicable scenarios for the two monitoring approaches. MethodsFrom May to October 2024, one BG-trap and one light trap were placed at eight monitoring sites, with a distance of over 10 meters between the two traps at each site. Surveillance was performed twice monthly to compare the two surveillance methods in terms of mosquito species composition, the proportional distribution of female mosquitoes across different habitats, and seasonal fluctuations in mosquito density. ResultsThere were statistically significant differences in mosquito species composition (χ²=60.61, P<0.001) and female mosquito species composition (χ²=37.12, P<0.001) between the BG-trap method and the light trap method, with the BG-trap method capturing a higher proportion of Aedes albopictus than the light trap method. The average density of mosquitoes monitored by the BG-trap method [13.36 mosquitoes·(trap·night)^-1] was higher than that monitored by the light trap method[4.70 mosquitoes·(trap·night)^-1]. There was statistically significant difference (t=6.70, P<0.001) for the mosquito density between the two methods, and there was a significant positive correlation (r=0.909, P<0.001) for the mosquito density indices between the two methods. The average density of female mosquitoes monitored by the BG-trap method [8.18 mosquitoes·(trap·night)^-1] was higher than that monitored by light trap method [3.36 mosquitoes·(trap·night)^-1]. There was statistically significant difference (t=6.00, P<0.001) for the female mosquito density between the two methods, and there was a significant positive correlation (r=0.929, P<0.001) for the female mosquito density indices between the two methods. In the four different habitats, the constituent ratio of mosquitoes and female mosquitoes monitored by the BG-trap method in descending order were urban residential area (43.80% and 40.25%), rural farm households (35.55% and 38.60%), hospital (12.70% and 12.87%), and park (7.95% and 8.28%), while the constituent ratio of mosquitoes and female mosquitoes monitored by the light trap method in descending order were rural farm households (34.37% and 43.34%), hospital (33.26% and 30.03%), park (17.96% and 15.17%), and urban residential area (14.41% and 11.46%). In different habitats, there were statistically significant differences for mosquito composition ratios (χ²=189.64, P<0.001) and female mosquito composition ratios (χ²=109.15, P<0.001) between the two monitoring methods. ConclusionThe BG-trap method offers advantages such as simple operation, compact equipment, and high efficiency, with a higher trapping rate for Aedes albopictus compared to the light trap method. In routine monitoring, the BG-trap method can serve as a supplement to the light trap method, while for emergency monitoring of Aedes albopictus in dengue fever outbreak areas and mosquito collection efforts, the BG-trap method is more effective than the light trap method.

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.

ObjectiveThis paper aims to investigate the differential mechanisms underlying the staged therapeutic effects of Qijia Rougan formula on liver fibrosis using proteomic technology. MethodsThe staged rat model of liver fibrosis was established by subcutaneous injection of carbon tetrachloride （CCl₄） and olive oil. One hundred and four SD rats were randomized into thirteen groups：a normal group，a two-week model group，a four-week model group，a six-week model group，an eight-week model group，a two-week Qijia Rougan formula group，a four-week Qijia Rougan formula group，a six-week Qijia Rougan formula group，an eight-week Qijia Rougan formula group，a two-week compound Biejia Ruangan tablet group，a four-week Compound Biejia Ruangan Tablet group，a six-week Compound Biejia Ruangan Tablet group，and an eight-week compound Biejia Ruangan tablet group. After two weeks of drug intervention，liver tissue and abdominal aortic blood samples were collected from the rats for testing. Hematoxylin-eosin （HE） staining，Masson staining，and Picro Sirius red staining were used to observe pathological damage and collagen fiber deposition in liver tissues. Immunohistochemistry （IHC） was employed to detect the contents of fibrosis markers in liver tissues. The contents of liver function indicators in the serum were measured using a fully automated biochemical analyzer，and the levels of liver fibrosis indicators in the serum were assessed by enzyme-linked immunosorbent assay （ELISA）. Liver tissues from the normal group，each model group，and each Qijia Rougan formula group were subjected to label-free quantitative proteomic analysis to identify differential proteins among the groups，with key proteins validated by Western blot. Finally，bioinformatics analysis was performed on the differential proteins. Results（1） The staged rat model of liver fibrosis constructed with CCl₄ and olive oil showed pathological results at the 2^nd，4^th，6^th，and 8^th weeks of modeling that were consistent with the Metavir standards for the F1，F2，F3，and F4 stages. Compared with those in the normal control group，the protein expressions of α-smooth muscle actin （α-SMA） and Collagen Ⅰ were significantly increased in each stage （P<0.05）. The levels of liver function indicators in the serum，including alanine aminotransferase （ALT），aspartate aminotransferase （AST），alkaline phosphatase （ALP），direct bilirubin （DBIL），and total bilirubin （TBil） in each model group，were significantly elevated in each stage （P<0.01）. The levels of liver fibrosis indicators in the serum，including procollagen Ⅲ peptide （PⅢP），type Ⅳ collagen（Ⅳ-C），hyaluronic acid （HA），and laminin （LN） in each model group，were significantly increased in each stage （P<0.05，P<0.01）. This study successfully established a staged rat model of liver fibrosis. （2） Compared with the model groups at each stage，the administration groups showed a reduction in hepatocyte ballooning degeneration，a more orderly arrangement of hepatocytes，and a decrease of inflammatory cell infiltration. The blue-stained collagen fibers became significantly thinner and finer，with reduced and narrowed fibrous septa. The areas of collagen fibers and Picro Sirius red staining were reduced （P<0.05）. The positive areas of α-SMA and Collagen Ⅰ expression were significantly decreased （P<0.05）. The levels of ALT，AST，ALP，DBIL，and TBil in the rats of the model groups at each stage were significantly reduced （P<0.05，P<0.01）. The levels of PⅢP，Ⅳ-C，HA，and LN in the rats of the model groups at each stage were significantly decreased （P<0.05）. Among these，the improvements in all indicators were most significant in the F3 stage （P<0.01）.（3） The proteomic results show that a total of 165 differential proteins exhibit a callback trend when comparing the model groups at four stages with the normal group，and when comparing the Qijia Rougan formula group with the model group. Western blot analysis reveals that the levels of NAD（P）H：quinone oxidoreductase 1 （NQO1），mitogen-activated protein kinase 1 （MAPK1），arginase 1 （Arg1），and glutathione S-transferase α1 （GSTA1） were consistent with the proteomic results. Bioinformatics results reveal that 165 differentially expressed proteins are enriched in multiple signaling pathways. Notably，signaling pathways such as drug metabolism-cytochrome P450，arginine biosynthesis，and the peroxisome proliferator-activated receptor （PPAR） signaling pathway were found to be closely associated with liver fibrosis，suggesting that the Qijia Rougan formula may exert its staged regulatory effects on liver fibrosis by regulating these pathways. ConclusionThe Qijia Rougan formula may achieve staged regulation of liver fibrosis by regulating drug metabolism-cytochrome P450，arginine biosynthesis，and the PPAR signaling pathway.

ObjectiveTo explore the mechanism through which Banxia Baizhu Tianmatang ameliorates cognitive impairment in epileptic rats induced by lithium chloride-pilocarpine by regulating the neuroinflammatory reaction mediated by NOD-like receptor protein 3 （NLRP3） inflammasomes. MethodsSixty male SD rats were randomly allocated into blank， model， carbamazepine （0.125 g·kg^-1·d^-1）， Banxia Baizhu Tianmatang （1.04 g·kg^-1·d^-1）， and carbamazepine （0.125 g·kg^-1·d^-1） + Banxia Baizhu Tianmatang （1.04 g·kg^-1·d^-1） groups （n=12）. After the modeling of epilepsy， rats were administrated with corresponding agents by gavage for 12 weeks. At the 6th and 12th week of the intervention， the rats’ hyper-excited behavior was evaluated by the stylus experiment， and at the 12^th week of intervention， the cognitive function was evaluated by Barnes maze. At the same time， the seizure frequency and severity grade （Racine score） were recorded. The serum and hippocampus tissue samples were collected after anesthesia for the following tests. Nissl staining was used to evaluate the degree of neuronal damage in the hippocampal CA1 area. The content of malondialdehyde （MDA） in the hippocampus was determined by the thiobarbituric acid （TBA） method. Serum levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-18 （IL-18） were quantified by enzyme-linked immunosorbent assay （ELISA）. Immunohistochemical method was adopted to detect the expression of apoptosis-associated speck-like protein containing a card （ASC） in the hippocampus. Western blot was employed to quantitatively analyze the protein levels of NLRP3， cysteinyl aspartate-specific proteinase-1 （Caspase-1）， and brain-derived neurotrophic factor （BDNF） in the hippocampus. ResultsThe model group showed increased stylus scores at the 6th and 12^th week after modeling， a decreased Barnes maze strategy score at the 12^th week， a prolonged incubation period （P<0.05）， elevated serum levels of inflammatory factors （P<0.05）， decreased neurons with scattered arrangement and large gaps in the hippocampus， increased content of MDA in the hippocampus （P<0.05）， an increased positive expression of ASC， and up-regulated protein levels of Caspase-1， NLRP3， and BDNF （P<0.05）. Compared with the model group， the intervention with Banxia Baizhu Tianmatang for 12 weeks was accompanied by a decreased stylus score， epileptic seizures with a decreased score， a decreased number， and shortened duration， an increased Barnes maze strategy score， shortened escape latency （P<0.01）， declined serum levels of inflammatory factors （P<0.05）， regular morphology of hippocampal neurons， reduced MDA content in the hippocampus （P<0.05）， a decreased positive expression of ASC， and down-regulated protein levels of Caspase-1， NLRP3， and BDNF （P<0.05， P<0.01）. In addition， compared with the carbamazepine group， Banxia Baizhu Tianmatang + carbamazepine showed improved performance in controlling the seizure， improved the cognitive behavior score and morphology of hippocampal neurons， alleviated the oxidative stress products， lowered the levels of inflammatory factors， reduced the positive expression of ASC in the hippocampus， and down-regulated the expression of Caspase-1， NLRP3 and BDNF， with no significant differences. ConclusionBanxia Baizhu Tianmatang may reduce neuroinflammation， control epileptic seizures， and ameliorate cognitive impairment by inhibiting the expression of NLRP3 inflammasomes.

In recent years, the prevalence of myopia has continued to rise, with an expanding affected population, making it a significant public health challenge both in China and globally. Elongation of the axial length in myopic eyes can induce a series of pathological changes in intraocular structure and function, increasing the risk of blinding ocular diseases such as retinal pathologies. Since myopia is difficult to reverse once established, scientific intervention is necessary to control its progression and reduce the likelihood of ocular complications. As a current research focus in myopia control, the clinical application of orthokeratology lenses has attracted considerable attention. This article highlights that orthokeratology lenses, worn overnight, reshape the corneal curvature and create a myopic defocus signal in the peripheral retina. This mechanism effectively inhibits excessive axial elongation and slows myopia progression. Clinical evidence indicates that orthokeratology can reduce axial elongation by 30% to 50%, accompanied by a short-term increase in choroidal thickness. This article also analyzes the advantages and limitations of orthokeratology and explores its potential synergistic effects when combined with other interventions such as low-dose atropine. The aim is to provide key theoretical and practical references for clinical myopia control.