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.

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.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

ObjectiveTo establish steroid-induced osteonecrosis of the femoral head （SANFH） cell model by using dexamethasone （DEX）-induced bone marrow mesenchymal stem cells （BMSCs） and demonstrate that Gushing Granules （GSNs） exert an improving effect by activating the phosphatidylinositol-3-kinase/protein kinase B/B-lymphoma-2 gene related promoter （PI3K/Akt/Bad） signalling pathway. MethodsFirstly， SD rats were orally administered with drugs at a dose of 0.9 g·kg^-1 to prepare GSN-containing serum， and CCK-8 screening was used to determine the optimal dosage and duration of action. Then， BMSCs were cultured and treated with 1×10^-6 mol·L^-1 DEX， 10% GSN-containing serum， and inhibitor LY294002 of PI3K/Akt signalling pathway for 24 hours to model and group SANFH cells. Cell viability and proliferation were detected by using CCK-8 assay kit and EdU staining kit. Flow cytometry was used to detect cell apoptosis. An alkaline phosphatase （ALP） assay kit was employed to detect ALP expression. In order to detect the PI3K/Akt/Bad signalling pathway and protein and mRNA expression of apoptosis-related proteins such as apoptosis regulatory factors B-cell lymphoma-2 gene （Bcl-2）， and Bcl-2-associated X protein （Bax）， osteocalcin （OCN）， and Collagen Ⅰ， we used Western blot and Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultsThe CCK-8 assay kit determined that the optimal dosage for GSN-containing serum is 10%， and the duration of action is 48 hours. After modelling and grouping the cells in each group， the detection results showed that the SANFH model group had significantly lower cell viability， cell proliferation， and ALP expression， as well as protein and mRNA expressions of PI3K， Akt， Bad， Bcl-2， OCN， and Collagen I compared to the blank group. The nucleic acid and protein levels of the Bax index and the cell apoptosis rate detected by flow cytometry significantly increased （P<0.05，P<0.01）. After treatment with GSN-containing serum， cell viability， cell proliferation， and ALP expression， as well as expressions of PI3K， Akt， Bad， Bcl-2， OCN， and Collagen Ⅰ nucleic acids and proteins were significantly increased， while the nucleic acid and protein levels of the Bax index and the cell apoptosis rate detected by flow cytometry significantly decreased（P<0.05，P<0.01）. Compared with the GSN drug-containing serum group， the simultaneous treatment with the inhibitor LY294002 and GSN drug-containing serum reversed the improvement effect of GSN. Specifically， the cell viability， cell proliferation， ALP expression， and the nucleic acid and protein levels of PI3K， Akt， Bad， Bcl-2， OCN， and Collagen Ⅰ were all significantly decreased， while the nucleic acid and protein levels of the Bax index and the cell apoptosis rate detected by flow cytometry were significantly increased （P<0.05， P<0.01）. ConclusionGSNs antagonize DEX-induced apoptosis of BMSCs by activating the PI3K/Akt/Bad signalling pathway， providing a scientific theoretical basis for the clinical treatment of SANFH with GSNs.

Objective To evaluate the protective effect of Schistosoma japonicum cystatin(rSj-Cystatin)in a mouse mode of"two-hit"sepsis.Methods Sixty male C57BL/6 mice randomized equally into sham-operated group,protein group,"two-hit"modeling group,and protein intervention group.In the former two groups,the mice received an intraperitoneal injection of 100 μL PBS followed by exposure of the cecum and then by intraperitoneal injection of 100 μL PBS or 25 μg rSj-Cystatin 30 min later;In the latter two groups,100 μL PBS containing LPS(5 mg/kg)was injected intraperitoneally 24 h before cecal ligation and puncture(CLP),and 100 μL PBS or 25 μg rSj-Cystatin were injected 30 min after CLP.At 12 h after rSj-Cystatin treatment,6 mice from each group were sacrificed for detection of TNF-α,IL-6,IL-10,TGF-β,iNOS and Arg-1 in the serum,spleen,liver,lung and kidney tissues using ELISA,for examinations of liver,lung and kidney pathologies with HE staining,and for analysis of CD3+CD4+CD25+Foxp3+T cell percentage in the spleen using flow cytometry.The remaining mice were observed for general condition and 72-h survival.Results The 72-h survival rates in the 4 groups were 100％,100％,0％and 20％,respectively,showing significant differences between the latter two groups.The mouse models of"two-hit"sepsis exhibited obvious tissue pathologies and significant elevations of TNF-α and IL-6 in both the serum and tissue homogenate,which were significantly ameliorated by rSj-Cystatin treatment.Treatment with rSj-Cystatin also increased IL-10 and TGF-β levels and spleen CD3+CD4+CD25+Foxp3+T cell percentage.The septic mouse models also showed increased iNOS levels in all the detected tissues and a decreased Arg-1 level in the kidney,and these changes were obviously improved by rSj-Cystatin treatment.Conclusion rSj-Cystatin has a protective effect against"two-hit"sepsis in mice by regulating the inflammatory microenvironment.

OBJECTIVE To observe the clinical efficacy of Yijinjing in the treatment of elderly sarcopenia and its effect on chro-nic inflammatory response in patients,and to explore the Yijinjing exercise prescription suitable for elderly patients with sarcopenia.METHODS A total of 120 elderly patients with sarcopenia admitted to the Department of Rehabilitation Medicine,Suzhou Hospital of Traditional Chinese Medicine from September 2022 to September 2024 were selected and randomly divided into a control group and a Yijinjing group,with 60 cases in each group.The control group received health education and dietary guidance,and the Yijinjing group received Yijinjing exercises on the basis of the intervention of the control group.The changes in skeletal muscle mass,upper and lower limb muscle strength,muscle thickness,muscle cross-sectional area,physical fitness and chronic inflammation level were observed in the two groups before and after the intervention.RESULTS After intervention,the skeletal muscle mass,grip strength,30 s sit-stand test times,rectus femoris thickness and cross-sectional area,vastus intermedius thickness,and physical fit-ness assessment of the patients in the Yijinjing group were significantly increased compared with those before treatment(P<0.05),and the indicators after intervention were higher than those in the control group(P<0.05);the serum TNF-α and IL-18 levels in the Yi-jinjing group were significantly decreased compared with those before treatment(P<0.05),and the indicators after intervention were lower than those in the control group(P<0.05);there was no statistically significant change in the biceps brachii thickness and serum IL-6 level in the Yijinjing group compared with those before treatment(P>0.05);there was no significant correlation between the bi-ceps brachii thickness and grip strength after Yijinjing intervention,r=0.139 8,P>0.05;there was a significant negative correlation between the TNF-α level and grip strength after Yijinjing intervention,r=-0.313 8,P<0.05.CONCLUSION Yijinjing exercises can improve muscle mass and strength in elderly patients with sarcopenia,and improve the physical fitness of patients,which may be related to improving the chronic inflammatory state of the body.

Objective:To explore the role and possible mechanism of ACOT11 in renal fibrosis model mice.Methods:A mouse model of renal fibrosis was established by unilateral ureteral obstruction(UUO)(Sham group and UUO7 group),and the expression of ACOT11 in the kidneys of UUO induced fibrosis mouse models was detected by protein immunoblotting and real-time fluorescence quantitative PCR(qRT-PCR).Subsequently,immunohistochemistry,Masson staining,H&E staining,PAS staining,and other experimental methods were used to detect the expression levels of fibrosis biomarkers fibronectin,α-SMA,and COL-1 in the kidneys of control and experimental group mice.In addition,by constructing ACOT11 gene knockout model mice and using the gene knockout model mice to construct a renal fibrosis model,the expression levels of fibrosis biomarkers such as fibronectin,α-SMA,COL-1,as well as fibrosis mechanism pathway related indicators TGF-β and Smad2 in the kidneys of each group of mice were further detected.Results:The results of WB and qRT-PCR experiments showed that the expression of ACOT11 in the kidney tissue of UUO model mice was significantly reduced compared to the Sham group.After knocking out the ACOT11 gene,H&E staining,PAS staining,and Masson staining showed that pathological inflammatory reactions such as abnormal glomerular and tubular structures,inflammatory cell infiltration and interstitial fibrous tissue proliferation in mice were significantly aggravated compared to the control group,and the expression of fibrosis markers Fibronectin,α-SMA,and COL-1 was significantly higher than that of the control group.Conclusion:ACOT11 plays a protective role in mice with unilateral ureteral obstruction model.After ACOT11 gene knockout,the fibrosis biomarkers of the mouse kidney increases and the degree of fibrosis worsens.

Objective:To prepare decellularized extracellular matrix (dECM)-gelatin methacryloyl (GelMA) composite hydrogels and to study their effects on hepatocyte proliferation.Methods:Hepatic dECM was prepared by elution, and GelMA hydrogel and 10%, 30% and 50% dECM-GelMA composite hydrogels were prepared by pepsin solubilization. The morphology of normal liver and dECM liver was observed by eyes and scanning electron microscopy using hematoxylin-eosin, Sirius red and periodate-Schiff staining, respectively. The internal structure of the dECM-GelMA composite hydrogels was observed by scanning electron microscopy, and the pore diameter was measured. Liver HL-7702 cells were co-cultured with GelMA hydrogel and 10%, 30% and 50% dECM-GelMA composite hydrogels, and the cell proliferation viability was determined by cell counting kit-8. The expression of proliferating cell nuclear antigen (PCNA), Wnt family protein 5a (Wnt5a), β-catenin, extracellular-regulated protein kinase 1/2 (ERK1/2) and phosphorylated ERK1/2 (p-ERK1/2) were detected by Western blotting. Comparisons were made using independent sample t-test or one-factor analysis of variance. Results:After decellularization, the hepatocyte morphology showed rounded depressions, and the extracellular matrix structure was intact. The GelMA hydrogel and 10%, 30% and 50% dECM-GelMA composite hydrogels showed inernally porous structures. The pore diameter increased from (3.06±1.35) μm in the GelMA hydrogel to (16.01±4.02) μm in the 50% dECM-GelMA composite hydrogel. On the 3rd, 5th and 7th day, the relative cell proliferation was higher in the 50% dECM-GelMA composite hydrogel group than that in the GelMA hydrogel group (1.89±0.04 vs 1.53±0.01, 9.36±0.04 vs 3.89±0.09, 7.15±0.27 vs 4.89±0.15, all P<0.05). The relative expression levels of PCNA, Wnt5a, β-catenin, and p-ERK1/2/ERK1/2 proteins in the 50% dECM-GelMA composite hydrogel group were higher than those in the GelMA hydrogel group (2.14±0.04 vs 1.00±0.03, 2.36±0.09 vs 1.00±0.08, 1.45±0.03 vs 1.00±0.04, 1.43±0.04 vs 1.00±0.01, all P<0.05). Conclusions:A dECM-GelMA composite hydrogel can be prepared, which may promote hepatocyte proliferation by upregulating the phosphorylation of ERK1/2 and activating Wnt/β-catenin signaling pathway.

Objective:To prepare heparin (Hep)-modified gelatin methacryloyl (GelMA) microspheres and to investigate their application in liver-targeted delivery of adipose-derived mesenchymal stem cells (ADSCs).Methods:GelMA microspheres were modified with Hep to obtain GelMA-Hep microspheres. The surface morphology of the GelMA-Hep microspheres was observed by scanning electron microscopy. The changes of carbon atoms, nitrogen atoms and sulfur atoms on the surface of the GelMA-Hep microspheres were detected by X-ray photoelectron spectroscopy. The surface chemical group composition of the GelMA-Hep microspheres was analyzed by Fourier transform infrared spectrometer. The swelling properties of the GelMA-Hep microspheres were detected by water absorption swelling experiment. Human liver HL-7702 cells transfected with lentivirus were co-cultured with GelMA, GelMA-dopamine (GelMA-dop) and GelMA-Hep microspheres. The effects of microspheres on cell proliferation activity were evaluated by cell counting kit-8 method and live/dead cell staining experiment. The adhesion of microspheres to cells was observed by confocal microscopy. The GelMA-Hep microspheres loaded with ADSCs were injected into C57BL/6 mice through the tail vein, and its efficiency of liver-targeted delivery of ADSCs was observed by a small animal in vivo imaging system. The data were compared by independent sample t test or one-way analysis of variance. Results:The GelMA-Hep microspheres were prepared by modifying the GelMA microspheres with Hep. Compared with the GelMA microspheres, the size of the GelMA-Hep microspheres did not change significantly, and the surface did not collapse and showed some crystalline particles. The binding energy of sulfur atoms on the surface of the GelMA-Hep microspheres increased from 166 eV to 168 eV. On the surface of the GelMA-Hep microspheres, the characteristic peaks of sulfonic acid and sulfate groups of Hep were detected at 1 490 cm ?1 and from 1 135 cm ?1 to 1 050 cm ?1, respectively. The swelling rate of the GelMA-dop microspheres was uniform, while the swelling rate of the GelMA microspheres and the GelMA-Hep microsphere was quite different, but the final swelling mass of the three microspheres tended to be consistent at 5 min. After 12, 24, 36 and 48 h of culture, the relative proliferation of cells in the GelMA-Hep group (1.61±0.29, 1.78±0.05, 2.27±0.08, 2.26±0.33) were higher than those in the negative control group (1.00±0.00, 1.28±0.06, 1.39±0.02, 1.41±0.04) (all P<0.05). After 36 h of culture, the relative proliferation of cells in the GelMA-Hep group was higher than that in the GelMA-dop group (1.63±0.21), with significant difference ( P<0.05). Live/dead cell staining experiment showed that after 12 h of cell culture in the GelMA-Hep group, only a few microspheres had cell adhesion; at 24 h, the cells were densely distributed on the surface of the microspheres. After 36 h, the number of cells increased further. At 48 h, live cells were distributed throughout the microspheres. Confocal microscopy showed that after 24 h of culture, cells adhered to the surface of the microspheres in the GelMA-Hep group and showed a stretched morphology. The liver of the GelMA-Hep+ADSCs group showed strong fluorescence at 0.5 h, and the fluorescence brightness continued to 48.0 h. The number of ADSCs reaching the liver was more than that of ADSCs group and GelMA+ADSCs group. Conclusions:GelMA-Hep microspheres were successfully prepared, which can improve the efficiency of liver-targeted delivery of ADSCs.

Objective:To determine the clinical issues in the Clinical practice guidelines for postoperative pain management in adults (2024 edition). Methods:A preliminary list of clinical issues for the guidelines was developed through literature review, clinical surveys, and expert interviews. This was followed by two rounds of Delphi questionnaire surveys, with quality control and statistical analysis conducted using expert positive coefficient, mean item scores, full score ratio, coefficient of variation, Cronbach′s α coefficient, and expert authority level to finalize the list of clinical issues.Results:The experts participating in the Delphi questionnaire surveys had multidisciplinary collaborative backgrounds and regional representativeness, with a high level of authority. The overall positive coefficient of expert participation in the surveys was 78.9%. Through two rounds of the Delphi method and based on the screening criteria of a mean score ≥3.5, coefficient of variation ≤30%, and full score ratio ≥30%, 17 clinical issues were ultimately included following an expert consensus meeting.Conclusions:Through the Delphi method and rigorous quality control, the clinical issues in the Clinical practice guidelines for postoperative pain management in adults (2024 edition) are determined, laying a foundation for the subsequent development of the guidelines.