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.

Objective:To study the effects of chlorhexidine (CHX) and ethylene diamine tetraacetic acid (EDTA) on adhesive properties of moderate fluorosis dentin.Methods:From August to September 2024, a total of 30 freshly extracted, non-carious and non-defective mandibular molars with moderate dental fluorosis, extracted for impaction or orthodontic reasons, were collected from the patients at the Department of Oral and Maxillofacial Surgery at Guiyang Stomatological Hospital and randomly divided into three groups (Groups A, B, and C, n = 10) using a simple randomization method, and pretreated for 60 s with normal saline (Group A), 17%EDTA gel (Group B), and 2%CHX solution (Group C), respectively. Subsequently, microtensile bonding strength testing and microleakage evaluation were performed. Results:The immediate bonding strengths of Groups A, B, and C were (14.23 ± 4.75), (20.94 ± 7.46), and (28.76 ± 14.61) MPa, respectively, and the bonding strengths after aging were (9.89 ± 3.81), (19.05 ± 7.85), and (22.15 ± 8.67) MPa, respectively. There were statistically significant differences in both immediate and aged bonding strengths among the three groups ( F = 6.08, 8.07, P = 0.010, 0.002). The immediate bonding strength of Group C was significantly higher than that of Group A ( P < 0.05), and the post aging bonding strength of both Group B and Group C was significantly higher than that of Group A ( P < 0.05). The proportion of silver staining area with microleakage in Groups A, B, and C were 21.87% (14.65%, 40.15%), 2.34% (1.87%, 5.29%), and 17.54% (4.59%, 20.47%), respectively, with statistically significant differences among the three groups ( H = 27.36, P = 0.001). The proportion of silver stained area with microleakage in Group B was significantly lower than that in Group A and Group C, and the difference was statistically significant ( P < 0.05). Conclusions:Pretreatment of moderate fluorosis dentin with 2%CHX or 17%EDTA can improve resin bongding performance, with EDTA being superior in reducing microleakage and CHX being better in enhancing adhesion strength.

Objective:To systematically evaluate the current status of research on the development of indicators for entrustable professional activities (EPAs) of residents in China.Methods:We searched the China National Knowledge Infrastructure, Wanfang Data, Airiti Library, PubMed, Embase, and Web of Science databases for literature on the development of EPA indicators for residents in China published between January 1, 2005 and February 28, 2025. Two researchers independently screened the literature and extracted data, followed by descriptive analysis. The quality of the studies was assessed using the Joanna Briggs Institute critical appraisal tool for expert opinion. Quantitative data were presented as medians (ranges) and qualitative data were presented as frequencies (percentages).Results:A total of eight articles were included, in which two general EPA indicator systems and six specialty-specific EPA indicator systems were developed for residents. The overall quality of the research was high, with the main shortcomings related to the methods used in the process of constructing the consensus indicators. The number of experts recruited ranged from 22 to 45, with 100.00% response rate, high authority coefficients (0.820-0.914), and high coordination coefficients (0.157-0.741). Most of the studies used literature reviews as one source for the indicator pool (8 studies, 100.00%), employed the Delphi method to reach consensus (6 studies, 75.00%), and provided inclusion criteria for the indicators (7 studies, 87.50%). However, only one study (12.50%) explored the practical application of the developed indicators, and none of the studies set indicator weights or conducted quality assessments. The number of EPA indicators developed ranged from 10 to 38 per study. The reporting of EPA indicators was included in most studies regarding titles (8 studies, 100.00%) and the expected levels of entrustment at various stages of training (6 studies, 75.00%), but the reporting on other aspects was lacking. Among the specialty-specific EPA indicators, 38.39% overlapped with the general EPAs indicators.Conclusions:The research on the development of EPA indicators for residents in China is still in its early stages, and there is room for improvement in methodological quality and reporting coverage. There is partial overlap between specialty-specific and general EPA indicators, failing to fully reflect the unique characteristics of different specialties.

Objective:To investigate the current status of Chinese-foreign cooperative education programs for medical majors, and to discuss the potential problems and development trends of this field.Methods:Related data were collected from the information platform of Chinese-Foreign Cooperation in Running Schools by Ministry of Education of the People's Republic of China, and the characteristics of Chinese-foreign cooperative education programs for medical majors were extracted for analysis. Categorical data were expressed as frequency (percentage), and continuous data were expressed as mean±standard deviation.Results:A total of 83 Chinese-foreign cooperative education programs for medical majors were included in the study, accounting for only 3.45% (83/2 406) of all programs. Chinese partners in these cooperative programs were mainly from East China (41 programs, 49.40%), while foreign partners were mainly from Europe (39 programs, 46.99%). The mean duration of these programs was (3.61±0.88) years, with an enrollment of (87.08±35.52) students. Most of the students were included in National General Higher Education Enrollment Plan (79 programs, 95.18%), and the main majors included nursing (39 programs, 46.99%), medical technology (19 programs, 22.89%), and clinical medicine (11 programs, 13.25%), with the main enrollment level of junior college (45 programs, 54.22%). Chinese partners in the cooperative programs mainly issued academic certificate (45 programs, 54.22%) or academic certificate plus degree certificate (36 programs, 43.37%), while most foreign partners did not issue such certificates (44 programs, 53.01%).Conclusions:There are several problems in Chinese-foreign cooperative education programs for medical majors, such as a limited number of programs, a significant regional difference, an imbalanced distribution of specialties, a low level of education, and inconsistency in issuance of certificates, which still requires further improvement and standardization. However, there are also high-level and high-quality programs for reference.

Objective:To elucidate the regulatory role of matrix metallopeptidase 14 (MMP14) in the migration of chondrogenic precursor cells, thereby providing data support for investigating the pathogenesis of microtia.Methods:An in vitro differentiation model was established using human induced pluripotent stem cells (iPSCs) sequentially induced into neural crest cells (iNCCs) and subsequently into chondrogenic precursor cells (iCPCs), combined with lentivirus-mediated knockdown of MMP14, to investigate the effects of MMP14 on the biological characteristics of iCPCs, including proliferation, differentiation, and migration. Collective cell migration was assessed using scratch wound healing and Transwell migration assays; directional migration was characterized via high-content live-cell imaging; single-cell adhesion force was measured using a micromanipulation system. Collagen degradation was evaluated through hydroxyproline digestion assays. Cell proliferation was analyzed using the CCK-8 assay, and the expression of osteogenic/chondrogenic-related genes (SOX5/6/9, COL1A1, COL2A1, RUNX2, TWIST1) were quantified by real-time quantitative PCR. Immunofluorescence staining was used to assess the expression of F-actin and CD44 proteins. Additionally, transcriptomic sequencing was performed on iCPCs before and after MMP14 knockdown. Results:iPSC→iNCC→iCPC differentiation model was established in vitro. The resulting iCPCs expressed osteo/chondrogenic marker genes, including SOX5, SOX6, SOX9, COL1A1, COL2A1, RUNX2, and TWIST1, and exhibited positive expression of mesenchymal stem cell markers CD90, CD105, and CD73. Upon further induction, functional cartilage spheroids were formed. Compared with normal auricular chondrocytes, auricular chondrocytes from microtia patients showed reduced expression of MMP14 at both mRNA and protein levels. Lentivirus-mediated shRNA knockdown of MMP14 in iCPCs resulted in a marked decrease in its mRNA and protein expression. MMP14 knockdown significantly impaired collective migration of iCPCs, as evidenced by reduced wound closure rates in scratch assays and decreased numbers of migrated cells in Transwell assays. High-content live-cell imaging revealed that MMP14-deficient iCPCs displayed more erratic migration trajectories and a lower straight-line migration ratio. Single-cell adhesion assays showed extracellular matrix (ECM)-dependent alterations: cell adhesion was enhanced on matrigel-coated surfaces but weakened under uncoated conditions. MMP14 knockdown also led to reduced proliferation, decreased collagen degradation, diminished F-actin expression, fewer peripheral adhesion sites, and downregulation of CD44 protein expression, without significantly affecting the expression of chondrogenic genes such as SOX6, SOX9, COL1A1, COL2A1, RUNX2, and TWIST1. Transcriptomic analysis further revealed that MMP14 knockdown significantly downregulated genes involved in extracellular matrix organization, cell adhesion, migration, and tissue development, with enrichment in pathways including ECM-receptor interaction, focal adhesion, and MAPK signaling. Conclusion:MMP14 plays a critical role in the directional migration of chondrogenic precursor cells by regulating ECM remodeling, adhesion signaling, and cytoskeletal proteins.

BACKGROUND:Multiple studies and observations have indicated a close relationship between inflammation,metabolites,and osteoporosis.However,it is still unclear whether there is a genetic causal effect between inflammation-related proteins and osteoporosis and whether metabolites play a mediating role in this process.OBJECTIVE:To investigate the causal relationships between inflammation-related proteins and osteoporosis using Mendelian randomization method as well as the mediating effect of plasma metabolites in this process.METHODS:Summary data from genome-wide association studies(GWAS)were used,with osteoporosis data sourced from the Fengenn database,and GWAS data on inflammation-related proteins and plasma metabolites obtained from published studies.The inverse-variance weighted method was primarily used to assess the exposure-outcome relationships.Bidirectional Mendelian randomization analyses were used to explore the causal relationships between inflammation-related proteins and osteoporosis,and two-step Mendelian randomization was used to discover potential mediating metabolites.Sensitivity analyses were then performed to further validate the robustness of the results.Cochran's Q test was used to assess heterogeneity,and horizontal pleiotropy was evaluated using the MR-Egger intercept and MR-PRESSO methods.RESULTS AND CONCLUSION:The initial bidirectional Mendelian randomization analysis identified five inflammation-related proteins that showed a positive causal relationship with osteoporosis and no reverse causal relationship.Artemin(odds ratio[OR]=0.895,95%confidence interval[CI]:0.819-0.979,P=0.015)was negatively associated with osteoporosis,whereas chemokine(C-X-C Motif)ligand 1(OR=1.100,95%CI:1.002-1.209,P=0.046),chemokine(C-X-C Motif)ligand 11(OR=1.150,95%CI:1.043-1.268,P=0.005),interleukin 17C(OR=1.087,95%CI:1.004-1.176,P=0.040),and tumor necrosis factor-like weak inducer of apoptosis(OR=1.108,95%CI:1.002-1.226,P=0.046)were positively associated with osteoporosis.Sensitivity analyses indicated no heterogeneity or pleiotropy in these causal effects.Subsequently,we conducted a two-step Mendelian randomization to discover potential mediating metabolites.This study showed that 1-palmitoyl-gpc(16:0)increased the negative effect of Artemin on osteoporosis.5α-androstan-3α,17β-diol monosulfate increased the risk of osteoporosis mediated by chemokine(C-X-C Motif)ligand 1 and chemokine(C-X-C Motif)ligand 11.The ratio of α-ketoglutarate to succinate led to an increased risk of osteoporosis mediated by chemokine(C-X-C Motif)ligand 11 and interleukin-17C.Spermidine and the ratio of proline to trans-4-hydroxyproline contributed to an increased risk of osteoporosis mediated by chemokine(C-X-C Motif)ligand 11.12,13-DiHOME contributed to an increased risk of osteoporosis mediated by interleukin-17C.The sulfate level of piperine metabolite C16H19NO3(3)and adenosine 3',5'-cyclic monophosphate contributed to an increased risk of osteoporosis mediated by tumor necrosis factor-like weak inducer of apoptosis.In conclusion,the above data indicate that some inflammation-related proteins can influence the risk of osteoporosis,both positively and negatively,and some of these effects are mediated by plasma metabolites.This provides new insights for future investigations into the occurrence and development mechanisms of osteoporosis.

Objective:To explore the mediating effect of disease uncertainty on cancer-related fatigue and quality of life in postoperative thyroid cancer patients, and to provide assistance for health management of thyroid cancer patients.Methods:From January 2023 to June 2024, thyroid cancer patients who underwent surgical treatment in Xiang′an Hospital of Xiamen University were selected by convenience sampling method. Conduct a survey using The general information questionnaire, Cancer Quality of Life for Thyroid Cancer 34, Cancer Fatigue Scale, and Mishel Uncertainty in Illness Scale were used to conduct cross-sectional investigation. SPSS 22.0 was used to statistically analyze the relationship between the three factors, and AMOS 24.0 software was used to establish a structural equation model to analyze the mediating effect of disease uncertainty on cancer-related fatigue and quality of life in postoperative thyroid cancer patients.Results:Finally, 495 valid questionnaires were ultimately collected. Among 495 postoperative patients with thyroid cancer, there were 135 males and 360 females, with an age of (39.58 ± 12.97) years old. The uncertainty score of postoperative thyroid cancer patients was (60.98 ± 11.61) points, cancer-related fatigue score was (42.85 ± 7.35) points, and quality of life score was (57.51 ± 9.81) points. Pearson correlation analysis showed that cancer-related fatigue was positively correlated with disease uncertainty ( r=0.392, P<0.01) and negatively correlated with quality of life ( r=-0.465, P<0.01). Disease uncertainty was negatively correlated with quality of life ( r=-0.378, P<0.01). Disease uncertainty partially mediated the relationship between cancer-related fatigue and quality of life in postoperative thyroid cancer patients, with a mediation effect value of -0.14, accounting for 32.56% of the total effect. Conclusions:The disease uncertainty score and the quality of life score of postoperative thyroid cancer patients were at a moderate level, the cancer-related fatigue score was at an upper moderate level. Disease uncertainty is an important mediating variable between cancer-related fatigue and quality of life in postoperative thyroid cancer patients. Improving disease uncertainty in postoperative thyroid cancer patients can reduce cancer-related fatigue and improve their quality of life.

Objective:To elucidate the regulatory role of matrix metallopeptidase 14 (MMP14) in the migration of chondrogenic precursor cells, thereby providing data support for investigating the pathogenesis of microtia.Methods:An in vitro differentiation model was established using human induced pluripotent stem cells (iPSCs) sequentially induced into neural crest cells (iNCCs) and subsequently into chondrogenic precursor cells (iCPCs), combined with lentivirus-mediated knockdown of MMP14, to investigate the effects of MMP14 on the biological characteristics of iCPCs, including proliferation, differentiation, and migration. Collective cell migration was assessed using scratch wound healing and Transwell migration assays; directional migration was characterized via high-content live-cell imaging; single-cell adhesion force was measured using a micromanipulation system. Collagen degradation was evaluated through hydroxyproline digestion assays. Cell proliferation was analyzed using the CCK-8 assay, and the expression of osteogenic/chondrogenic-related genes (SOX5/6/9, COL1A1, COL2A1, RUNX2, TWIST1) were quantified by real-time quantitative PCR. Immunofluorescence staining was used to assess the expression of F-actin and CD44 proteins. Additionally, transcriptomic sequencing was performed on iCPCs before and after MMP14 knockdown. Results:iPSC→iNCC→iCPC differentiation model was established in vitro. The resulting iCPCs expressed osteo/chondrogenic marker genes, including SOX5, SOX6, SOX9, COL1A1, COL2A1, RUNX2, and TWIST1, and exhibited positive expression of mesenchymal stem cell markers CD90, CD105, and CD73. Upon further induction, functional cartilage spheroids were formed. Compared with normal auricular chondrocytes, auricular chondrocytes from microtia patients showed reduced expression of MMP14 at both mRNA and protein levels. Lentivirus-mediated shRNA knockdown of MMP14 in iCPCs resulted in a marked decrease in its mRNA and protein expression. MMP14 knockdown significantly impaired collective migration of iCPCs, as evidenced by reduced wound closure rates in scratch assays and decreased numbers of migrated cells in Transwell assays. High-content live-cell imaging revealed that MMP14-deficient iCPCs displayed more erratic migration trajectories and a lower straight-line migration ratio. Single-cell adhesion assays showed extracellular matrix (ECM)-dependent alterations: cell adhesion was enhanced on matrigel-coated surfaces but weakened under uncoated conditions. MMP14 knockdown also led to reduced proliferation, decreased collagen degradation, diminished F-actin expression, fewer peripheral adhesion sites, and downregulation of CD44 protein expression, without significantly affecting the expression of chondrogenic genes such as SOX6, SOX9, COL1A1, COL2A1, RUNX2, and TWIST1. Transcriptomic analysis further revealed that MMP14 knockdown significantly downregulated genes involved in extracellular matrix organization, cell adhesion, migration, and tissue development, with enrichment in pathways including ECM-receptor interaction, focal adhesion, and MAPK signaling. Conclusion:MMP14 plays a critical role in the directional migration of chondrogenic precursor cells by regulating ECM remodeling, adhesion signaling, and cytoskeletal proteins.

AIM:To explore the efficacy and safe-ty of fecal microbiota transplantation combined with immune checkpoint inhibitors(ICIs)for malig-nant tumor patients with failed multi line anti-tu-mor treatment and concomitant cachexia,and to explore the changes in blood immunity and intesti-nal microbial environment in patients.METHODS:Five patients with malignant tumors who failed multi line anti-tumor treatment were enrolled and treated with ICIs combined with fecal microbiota transplantation.The efficacy was evaluated every 2-3 cycles,and adverse reactions were observed.Fe-cal 16srRNA gene sequencing and serum immuno-logical indicators were dynamically detected.RE-SULTS:Except for one patient who died 2.5 months after transplantation due to excessive tumor bur-den at enrollment,the overall survival of the re-maining four patients were extended(7.4,8.3,28.5,52.3 months).One patient with multiple intra-cranial metastases of lung adenocarcinoma signifi-cantly reduced the intracranial metastasis after in-testinal microbiota transplantation and almost dis-appeared.The serum IL-2,IL-10,TGF-β and other indicators of patients increased rapidly and then slowly decreased with the increase of transplanta-tion time,and finally were higher than before trans-plantation,with statistical differences.16srRNA gene sequencing analysis revealed significant differ-ences in the overall distribution of gut microbiota in patients after transplantation,gradually ap-proaching healthy transplant donors.All patients did not experience grade 2 or above adverse reac-tions,and the safety was good.CONCLUSION:For patients with malignant tumors,the combination of fecal microbiota transplantation and immuno-therapy may improve their quality of life,serum im-mune environment,and intestinal microbiota com-position,have a positive impact on survival progno-sis,and are safe and controllable,opening up new treatment methods for end-stage patients.