ObjectiveTo observe the effects of Danggui Shaoyaosan on macrophage polarization and renal inflammation in db/db mice with diabetic kidney disease （DKD）， and to explore its renal protective effects and underlying mechanisms. MethodsEight db/m mice were assigned to the normal group， and forty db/db mice were randomly divided into a model group， low-， medium-， and high-dose Danggui Shaoyaosan groups （8.39， 16.77， 33.54 g·kg^-1）， and an irbesartan group （0.025 g·kg^-1）. All mice were administered treatment by gavage for 12 consecutive weeks. General conditions of the mice were observed during the intervention. At the end of the 12-week intervention， 24-h urine samples were collected using metabolic cages， after which the mice were anesthetized for sample collection. Blood was collected by enucleation and centrifuged to obtain serum for the determination of glycated serum protein （GSP）， serum creatinine （SCr）， blood urea nitrogen （BUN）， total cholesterol （TC）， and triglycerides （TG）. The urinary albumin-to-creatinine ratio （UACR） was measured. Renal pathological changes were observed using hematoxylin-eosin （HE） staining， periodic acid-Schiff （PAS） staining， and Masson staining. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum tumor necrosis factor-α （TNF-α）， interleukin-10 （IL-10）， and monocyte chemoattractant protein-1 （MCP-1） levels. Immunofluorescence （IF） was performed to detect F4/80 expression in renal tissue， and immunohistochemistry （IHC） was used to assess CD206 expression. Real-time quantitative polymerase chain reaction （Real-time PCR） was employed to measure the mRNA expression of TNF-α， IL-10， inducible nitric oxide synthase （iNOS）， and arginase-1 （Arg-1）. Western blot analysis was used to detect the protein expression of iNOS， Arg-1， CD86， and CD206 in renal tissue. ResultsCompared with the normal group， the model group showed increased levels of GSP， UACR， SCr， BUN， TC， and TG， elevated levels of the inflammatory factor TNF-α and the chemokine MCP-1， and decreased IL-10 levels （P<0.01）. Pathological examination revealed glomerular hypertrophy， mesangial cell proliferation with marked mesangial expansion， inflammatory cell infiltration， vacuolar degeneration of renal tubular epithelial cells， prominent glycogen deposition， and increased collagen fiber deposition. In addition， relative F4/80 fluorescence intensity was enhanced， CD206 expression in the glomeruli and renal interstitium was reduced， and TNF-α and iNOS mRNA expression was increased. IL-10 and Arg-1 mRNA expression was decreased， iNOS and CD86 protein expression was increased， and Arg-1 and CD206 protein expression was decreased （P<0.05， P<0.01）. Compared with the model group， the Danggui Shaoyaosan groups and the irbesartan group showed decreased levels of GSP， UACR， SCr， BUN， TC， and TG， reduced serum TNF-α and MCP-1 levels， and increased IL-10 levels. Renal pathological damage was improved to varying degrees. Relative F4/80 fluorescence intensity was reduced， CD206 expression in the glomeruli and renal interstitium was increased， and TNF-α and iNOS mRNA expression was decreased. IL-10 and Arg-1 mRNA expression was increased， iNOS and CD86 protein expression was reduced， and Arg-1 and CD206 protein expression was increased （P<0.05， P<0.01）. ConclusionDanggui Shaoyaosan can improve renal function and alleviate renal pathological damage in db/db mice. Its mechanism may be related to inhibiting M1 pro-inflammatory macrophage polarization， promoting M2 anti-inflammatory macrophage polarization， reducing inflammatory responses， delaying the progression of renal fibrosis， improving renal pathological injury， and thereby exerting renal protective effects.

Objective To explore the mechanism by which breast cancer-derived LncRNA OIP5-AS1 regulates the migration, invasion, and epithelial-mesenchymal transition of breast cancer cells through the M2 polarization of tumor-associated macrophages (TAM). Methods MDA-MB-231 cells were divided into the control group (blank control), the NC group (transfected with NC siRNA), and the si-OIP5 group (transfected with LncRNA OIP5-AS1 siRNA). The mRNA expression levels of LncRNAs OIP5-AS1, IL-4, and IL-13 were detected by RT-qPCR. The protein expression levels of IL-4 and IL-13 in the culture supernatant were detected by ELISA. The culture supernatant from the control group was added to RPMI 1640 medium at different volume ratios to induce the polarization of M0 macrophages into TAMs. The mRNA expression of CD206 in TAMs was detected by RT-qPCR. M0-type macrophages were induced with the medium supernatant of the NC group/si-OIP5 group, and the expression of CD206 was detected by Western blot. Subsequently, a co-culture model of macrophage and MDA-MB-231 was constructed to evaluate the migration and invasion abilities of MDA-MB-231 cells and detect the expression changes in Vimentin, N-cadherin and E-cadherin. Results Compared with the control and NC groups, the si-OIP5 group showed significantly downregulated expression of LncRNA OIP5-AS1 (P<0.001) and significantly decreased IL-13 mRNA and protein levels (P<0.05). Meanwhile, no significant difference was observed in the expression of IL-4 among the groups. Conditioned medium induced CD206 expression in M0 macrophages in a volume-dependent manner, with the strongest effect at a 40% volume ratio (P<0.001). The CD206 protein level in the si-OIP5 group significantly decreased (P<0.01). In the co-culture system, the migration and invasion abilities of MDA-MB-231 cells in the si-OIP5 group significantly weakened (P<0.001), the expression of E-cadherin was upregulated, and the expression levels of N-cadherin and Vimentin were downregulated (both P<0.01). Conclusion Breast cancer-derived LncRNA OIP5-AS1 can induce TAM M2 polarization mediated by IL-13, thereby promoting the migration, invasion, and EMT of breast cancer cells.

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 investigate the correlation between color parameters (L^*, a^*, b^*, Eab^*) and the contents of reducing sugars, total polysaccharides, total oligosaccharides, as well as four saccharides (fructose, glucose, sucrose, and kestose) during the nine cycles of steaming and sun-drying processing of Polygonatum kingianum, and to preliminarily explore the optimal processing duration.
Methods: The color changes were objectively evaluated using a colorimeter. The anthrone-sulfuric acid method was employed to determine total polysaccharides and oligosaccharides. The 3,5-dinitrosalicylic acid (DNS) colorimetric method was used to measure total reducing sugar content. High-performance liquid chromatography coupled with charged aerosol detection (HPLC-CAD) was applied for quantitative analysis of fructose, glucose, sucrose, and kestose. Multivariate statistical analysis was conducted to assess samples from different processing stages.
Results: Significant variations in color and component contents were observed across processing stages. The herbal pieces progressively darkened with increased processing cycles: brightness (L^*) and total color difference (Eab^*) initially decreased then stabilized, while a^* (red-green) and b^* (yellow-blue) values first increased then declined. Total polysaccharides and oligosaccharides showed overall decreasing trends, whereas reducing sugars initially increased before stabilizing. Fructose and glucose levels rose continuously, while sucrose and kestose decreased progressively, becoming undetectable after five cycles.
Conclusion: The chromatic alteration and saccharide composition of P. kingianum showed significant correlation with processing duration. Both total color difference (Eab^*) and reducing sugar content stabilized after four processing cycles (12 hours), suggesting that four cycles of steaming and sun-drying may represent the optimal processing duration.

Objective: To investigate the correlation between the color parameters (L^*, a^*, b^*, Eab^* values) of Polygoni Multiflori Radix Praeparata powder prepared by different processing techniques and the contents of 2,3,5,4’-tetrahydroxystilbene-2-O-β-D-glucopyranoside, emodin, physcion, emodin-8-O-β-D-glucopyranoside, physcion-8-O-β-D-glucopyranoside.
Methods: The L^*, a^*, b^* and Eab^* values of Polygoni Multiflori Radix Praeparata powder prepared by different processing techniques were determined by spectrophotometer, and the contents of the five components were determined by high performance liquid chromatography. Secondly, SPSS 26.0 software and Simca 14.1 software were used to analyze the correlation.
Results: Through the hierarchical cluster analysis (HCA), it was found that the steamed samples and black bean steamed samples could be obviously divided into two categories: raw products and processed products. The processed products could be further divided into 2-8 h and 12-48 h. Pearson correlation analysis showed that the content of stilbene glycoside was significantly positively correlated with L^*, a^* and b^* values (P<0.01). The a^* value was significantly positively correlated with the content of emodin and physcion (P<0.01). Emodin-8-O-β-D-glucoside was positively correlated with L^* value and b^* value, while physcion-8-O-β-D-glucoside was negatively correlated with a^* value. Partial least squares discriminant analysis (PLS) showed that 2,3,5,4’-tetrahydroxystilbene-2-O-β-D-glucoside (VIP=1.69) and emodin-8-O-β-D-glucoside (VIP=1.06) were the key variables affecting chromaticity characteristics (P<0.01).
Conclusion: The three processes of steaming, black bean steaming and black bean stewing are consistent in composition transformation and chromaticity variation, and stilbene glycoside can be used as a specific index component to characterize the processed color. Chromatic parameters can effectively reflect the processing progression and serve as quality monitoring indicators during production.

Objective To explore the clinical value of preoperative assessment and intraoperative frozen section pathology in screening patients suitable for testicular preservation surgery, so as to provide reference for reducing unnecessary radical orchiectomy in patients with benign testicular tumors. Methods A retrospective analysis was conducted on 121 patients who underwent surgical treatment for testicular tumors in the First Affiliated Hospital of Xi'an Jiaotong University during Jan. 2021 and Sep. 2025. Data were collected, including demographic information, preoperative imaging, serum tumor markers, surgical procedures, intraoperative frozen section, postoperative pathology, and postoperative testicular volume changes. Results Among the 121 patients, 105 underwent radical orchiectomy, with 91 malignant and 14 benign cases confirmed by postoperative pathology; 16 received testicular tumor enucleation, all confirmed as benign. Benign lesions accounted for 24.79% (30/121) of all cases. In patients undergoing tumor enucleation, intraoperative frozen section results were fully consistent with final pathological findings. Conclusion Preoperative differentiation between benign and malignant testicular tumors is crucial for selecting the appropriate surgical approach. For patients with preoperative findings suggesting benign lesions, testicular tumor enucleation combined with intraoperative frozen section can achieve precise treatment while maximizing testicular preservation.

BACKGROUND: Valvular heart disease (VHD) has become increasingly common with the aging in China. This study aimed to evaluate regional differences in the clinical features, management strategies, and outcomes of patients with VHD across different regions in China. METHODS: Data were collected from the China-VHD Study. From April 2018 to June 2018, 12,347 patients who presented with moderate or severe native VHD with a median of 2 years of follow-up from 46 centers at certified tertiary hospitals across 31 provinces, autonomous regions, and municipalities in Chinese mainland were included in this study. According to the locations of the research centers, patients were divided into five regional groups: eastern, southern, western, northern, and central China. The clinical features of VHD patients were compared among the five geographical regions. The primary outcome was all-cause mortality or rehospitalization for heart failure. Kaplan-Meier survival analysis was used to compare the cumulative incidence rate. RESULTS: Among the enrolled patients (mean age, 61.96 years; 6877 [55.70%] male), multiple VHD was the most frequent type (4042, 32.74%), which was mainly found in eastern China, followed by isolated mitral regurgitation (3044, 24.65%), which was mainly found in northern China. The etiology of VHD varied significantly across different regions of China. The overall rate of valve interventions was 32.67% (4008/12,268), with the highest rate in southern China at 48.46% (205/423). In terms of procedure, the proportion of transcatheter valve intervention was relatively low compared to that of surgical treatment. Patients with VHD in western China had the highest incidence of all-cause mortality or rehospitalization for heart failure. Valve intervention significantly improved the outcome of patients with VHD in all five regions (all P  <0.05). CONCLUSIONS: This study revealed that patients with VHD in China are characterized by significant geographic disparities in clinical features, treatment, and clinical outcomes. Targeted efforts are needed to improve the management and prognosis of patients with VHD in China according to differences in geographical characteristics. REGISTRATION ClinicalTrials.gov , NCT03484806.
Aged ; Female ; Humans ; Male ; Middle Aged ; China/epidemiology* ; Heart Valve Diseases/therapy* ; Kaplan-Meier Estimate ; Tertiary Care Centers ; Treatment Outcome