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.

Aim To explore the material basis and un-derlying mechanism of Qingre Huoxue Formula(QRHXF)in the treatment of non-small cell lung cancer(NSCLC)by applying network pharmacology,molecular docking technology and bioinformatics com-bined with animal experiments.Methods TCMSP,ECTM,and BATMAN databases were used to obtain active components and corresponding targets of QRHXF;GEO and DisGeNENT databases were con-ducted to acquire NSCLC-associated differential expres-sion genes.By intersecting them,the common targets were obtained.It was chosen to construct a herb-com-ponent-disease network and protein-protein interaction(PPI)network.Furthermore,DAVID database was used to perform gene ontology(GO)function and Kyo-to encyclopedia of genes and genomes(KEGG)path-way enrichment analyses.The molecular docking was presented by adopting Autodock Vina program to verify key targets.RNA-seq datawere downloaded from TC-GA database to obtain differential gene expression.Ka-planMeier(KM)analysis was performed to analyze the relationship between gene expression and overall sur-vival.Mouse subcutaneous tumor model of LLC was established.The effects of QRHXF on body weight,tumor volume and weight were monitored for pharmaco-dynamic analysis.Tumor tissues slides were stained with hematoxylin and eosin(HE)for histopathological examination.Immunohistochemistry(IHC)staining was employed for detecting Ki67 and EP300.Western blot was performed to measure the protein expression of TP53,CDK1 and NTRK1.Results The results of net-work pharmacology showed that a total of seven com-mon targets were screened from NSCLC and QRHXF,and the effect of QRHXF on anti-NSCLC may occur via multiple signaling pathways,including cell cycle.The results of molecular docking indicated that the main ac-tive components of QRHXF had low binding energy and stable docking conformation with the molecular target for treating NSCLC.According to bioinformatic analy-sis,there were significant differences in BRCA1,CDK1 and NTRK1 mRNA expression between tumor tissues and normal tissues,which were also prognostic factors for overall survival.Animal experimental research showed QRHXF inhibited subcutaneous tumor growth(P＜0.01)and improved the quality of life in mice with NSCLC.After QRHXF intervention,the density of tumor cells was significantly reduced,and necrotic are-as were increased.The expressions of Ki67 and EP300 were significantly decreased.Compared with the model group,Western blot showed up-regulation of TP53 and NTRKA(P＜0.05),whereas CDK1 were down-regu-lated(P＜0.05).Conclusion QRHXF exerted anti-NSCLC effects by regulating NTRK1,EP300,TP53,CDK1 and inducing cell cycle,cell cycle arrest and in-hibiting tumor growth,metastasis and angiogenesis.

Aim To explore the material basis and un-derlying mechanism of Qingre Huoxue Formula(QRHXF)in the treatment of non-small cell lung cancer(NSCLC)by applying network pharmacology,molecular docking technology and bioinformatics com-bined with animal experiments.Methods TCMSP,ECTM,and BATMAN databases were used to obtain active components and corresponding targets of QRHXF;GEO and DisGeNENT databases were con-ducted to acquire NSCLC-associated differential expres-sion genes.By intersecting them,the common targets were obtained.It was chosen to construct a herb-com-ponent-disease network and protein-protein interaction(PPI)network.Furthermore,DAVID database was used to perform gene ontology(GO)function and Kyo-to encyclopedia of genes and genomes(KEGG)path-way enrichment analyses.The molecular docking was presented by adopting Autodock Vina program to verify key targets.RNA-seq datawere downloaded from TC-GA database to obtain differential gene expression.Ka-planMeier(KM)analysis was performed to analyze the relationship between gene expression and overall sur-vival.Mouse subcutaneous tumor model of LLC was established.The effects of QRHXF on body weight,tumor volume and weight were monitored for pharmaco-dynamic analysis.Tumor tissues slides were stained with hematoxylin and eosin(HE)for histopathological examination.Immunohistochemistry(IHC)staining was employed for detecting Ki67 and EP300.Western blot was performed to measure the protein expression of TP53,CDK1 and NTRK1.Results The results of net-work pharmacology showed that a total of seven com-mon targets were screened from NSCLC and QRHXF,and the effect of QRHXF on anti-NSCLC may occur via multiple signaling pathways,including cell cycle.The results of molecular docking indicated that the main ac-tive components of QRHXF had low binding energy and stable docking conformation with the molecular target for treating NSCLC.According to bioinformatic analy-sis,there were significant differences in BRCA1,CDK1 and NTRK1 mRNA expression between tumor tissues and normal tissues,which were also prognostic factors for overall survival.Animal experimental research showed QRHXF inhibited subcutaneous tumor growth(P＜0.01)and improved the quality of life in mice with NSCLC.After QRHXF intervention,the density of tumor cells was significantly reduced,and necrotic are-as were increased.The expressions of Ki67 and EP300 were significantly decreased.Compared with the model group,Western blot showed up-regulation of TP53 and NTRKA(P＜0.05),whereas CDK1 were down-regu-lated(P＜0.05).Conclusion QRHXF exerted anti-NSCLC effects by regulating NTRK1,EP300,TP53,CDK1 and inducing cell cycle,cell cycle arrest and in-hibiting tumor growth,metastasis and angiogenesis.

Objective To evaluate the safety and efficacy of valve-in-valve transcatheter mitral valve replacement(ViV-TMVR)in patients with bioprosthetic valve degeneration who are at high surgical risk.Methods This study is a multi-center,retrospective cohort analysis of 20 consecutive patients who underwent transseptal ViV-TMVR using the Edwards SAPIEN 3 transcatheter heart valve(THV).The primary endpoints include technical success and procedural success,both defined according to the Mitral Valve Academic Research Consortium(MVARC)criteria,as well as mortality and functional change assessed based on New York Heart Association(NYHA)classification at 30-days and six months post-procedure.Clinical follow-up assessments are conducted at 30-days and six months.Results From February 2021 to October 2022,a total of 20 patients with symptoms of bioprosthetic valve degeneration were enrolled across nine sites in China.The patients had a mean age of(73.5±5.5)years,with 85.0％being females and 70.0％classified as NYHA class Ⅲ/Ⅳ.The study achieved a 100.0％technical success rate and a 90.0％procedural success rate finally.All patients remained alive during the 30-day follow-up period.However,six months post-intervention,two patients(10.0％)were re-hospitalized due to heart failure,and sadly,one of them(5.0％)died.None of the patients reported any adverse events related to ViV-TMVR during the follow-up period.Notably,there was a significant improvement in NYHA class compared to baseline(P=0.0004)at six-month follow-ups.Conclusions The transseptal ViV-TMVR technique proved to be highly successful and was associated with significant improvement in NYHA class function.These findings strongly suggest that it serves as a safe and efficient treatment alternative for high-risk patients suffering from bioprosthetic valve degeneration.

Objective To evaluate the safety and efficacy of valve-in-valve transcatheter mitral valve replacement(ViV-TMVR)in patients with bioprosthetic valve degeneration who are at high surgical risk.Methods This study is a multi-center,retrospective cohort analysis of 20 consecutive patients who underwent transseptal ViV-TMVR using the Edwards SAPIEN 3 transcatheter heart valve(THV).The primary endpoints include technical success and procedural success,both defined according to the Mitral Valve Academic Research Consortium(MVARC)criteria,as well as mortality and functional change assessed based on New York Heart Association(NYHA)classification at 30-days and six months post-procedure.Clinical follow-up assessments are conducted at 30-days and six months.Results From February 2021 to October 2022,a total of 20 patients with symptoms of bioprosthetic valve degeneration were enrolled across nine sites in China.The patients had a mean age of(73.5±5.5)years,with 85.0％being females and 70.0％classified as NYHA class Ⅲ/Ⅳ.The study achieved a 100.0％technical success rate and a 90.0％procedural success rate finally.All patients remained alive during the 30-day follow-up period.However,six months post-intervention,two patients(10.0％)were re-hospitalized due to heart failure,and sadly,one of them(5.0％)died.None of the patients reported any adverse events related to ViV-TMVR during the follow-up period.Notably,there was a significant improvement in NYHA class compared to baseline(P=0.0004)at six-month follow-ups.Conclusions The transseptal ViV-TMVR technique proved to be highly successful and was associated with significant improvement in NYHA class function.These findings strongly suggest that it serves as a safe and efficient treatment alternative for high-risk patients suffering from bioprosthetic valve degeneration.

Objective To investigate the clinical characteristics of preoperative intestinal symptoms in patients with bowel endometriosis and to compare the effects of shaving versus segmental bowel resection on postoperative intestinal function.Methods A total of 105 patients diagnosed with bowel endometriosis and treated by the same surgical team at the Obstetrics and Gynecology Hospital,Fudan University between Aug 1,2013 and Dec 30,2017 were prospectively enrolled in this study.Clinical data were collected via outpatient visits and telephone follow-ups at four time points:preoperative(T0)and postoperative(T1:Nov 2018;T2:Nov 2020;T3:Apr 2024).The primary outcome was bowel symptoms and gastrointestinal function scores;secondary outcome was pain scores.A generalized estimating equation(GEE)model was used to analyze the interaction effect of surgical approach and follow-up time on outcomes.Results Ultimately,a total of 89 patients were included(15.24%loss to follow-up),among whom 79 patients(88.76%)underwent shaving excision.Preoperatively,46 patients(51.68%)presented with bowel symptoms,primarily anus bulge(21 cases,46.65%)and diarrhea(15 cases,32.61%)during menstruation.Postoperatively,there was a significant increase in constipation rates(T1:71.43%;T2:50.00%;T3:72.00%).Both surgical groups exhibited significant improvements in dysmenorrhea,gastrointestinal discomfort scores as well as gastrointestinal quality of life index(P<0.000 5).However,the segmental resection group had significantly higher scores for low anterior resection syndrome,constipation compared with the shaving excision group(P=0.02 and P=0.05).Conclusion Approximately half of the patients with bowel endometriosis exhibit typical bowel symptoms preoperatively,such as anus bulge and diarrhea.Both shaving excision and segmental resection effectively alleviate pain;however,shaving excision demonstrates an advantage regarding preservation of bowel function,whereas segmental resection may elevate risks associated with postoperative constipation or altered defecation patterns due to structural changes.The selection of surgical approach should carefully balance lesion removal and functional preservation,moreover,be sure that potential risks are thoroughly informed to patients prior to surgery.

Objective To retrospectively analyze the clinical risk factors and prognosis of perioperative myocardial injury(MINS)in non-cardiac surgery patients admitted to the intensive care unit(ICU).Methods A total of 478 postoperative patients admitted to the Department of Intensive Medicine,Minhang Hospital,Fudan University from Jan 2020 to Dec 2023 were selected.They were divided into MINS group(n=302)and normal group(n=176)based on whether myocardial injury occurred within 7 days after surgery.The differences in clinical characteristics between the two groups were compared,and risk factors for perioperative myocardial injury were identified.Risk factors for mortality in the MINS group were analyzed with 30-day mortality as the clinical endpoint.Results The prevalence of acute physiology and chronic health evaluation Ⅱ(Apache Ⅱ)score,coronary artery disease,and chronic kidney disease were all higher in the MINS group than those in the normal group,with statistically significant differences(P<0.05).The proportion of emergency surgeries,co-infection,and perioperative hypotension were significantly different between the MINS group and the normal group(P<0.05).Multivariate logistic regression analysis revealed that chronic kidney disease,emergency surgery,co-infection,and intraoperative and postoperative hypotension were risk factors for MINS occurrence.Prognostic analysis indicated that perioperative hypotension was a risk factor for 30-day mortality in MINS patients.Conclusion MINS is closely associated with patients'underlying conditions,timing of surgery,and perioperative hypotension status,and especially perioperative hypotension affects the final outcomes.

In recent decades, the prevalence of hyperuricemia and gout has increased dramatically due to lifestyle changes. The drugs currently recommended for hyperuricemia are associated with adverse reactions that limit their clinical use. In this study, we report that berberine (BBR) is an effective drug candidate for the treatment of hyperuricemia, with its mechanism potentially involving the modulation of gut microbiota and its metabolite, succinic acid. BBR has demonstrated good therapeutic effects in both acute and chronic animal models of hyperuricemia. In a clinical trial, oral administration of BBR for 6 months reduced blood uric acid levels in 22 participants by modulating the gut microbiota, which led to an increase in the abundance of Bacteroides and a decrease in Clostridium sensu stricto_1. Furthermore, Bacteroides fragilis was transplanted into ICR mice, and the results showed that Bacteroides fragilis exerted a therapeutic effect on uric acid similar to that of BBR. Notably, succinic acid, a metabolite of Bacteroides, significantly reduced uric acid levels. Subsequent cell and animal experiments revealed that the intestinal metabolite, succinic acid, regulated the upstream uric acid synthesis pathway in the liver by inhibiting adenosine monophosphate deaminase 2 (AMPD2), an enzyme responsible for converting adenosine monophosphate (AMP) to inosine monophosphate (IMP). This inhibition resulted in a decrease in IMP levels and an increase in phosphate levels. The reduction in IMP led to a decreased downstream production of hypoxanthine, xanthine, and uric acid. BBR also demonstrated excellent renoprotective effects, improving nephropathy associated with hyperuricemia. In summary, BBR has the potential to be an effective treatment for hyperuricemia through the gut-liver axis.

Osteoarthritis (OA), the most prevalent joint disease of late life, is closely linked to cellular senescence. Previously, we found that the senescence of fibroblast-like synoviocytes (FLS) played an essential role in the degradation of cartilage. In this work, single-cell sequencing data further demonstrated that cartilage acidic protein 1 (CRTAC1) is a critical secreted factor of senescent FLS, which suppresses mitophagy and induces mitochondrial dysfunction by regulating SIRT3 expression. In vivo, deletion of SIRT3 in chondrocytes accelerated cartilage degradation and aggravated the progression of OA. Oppositely, intra-articular injection of adeno-associated virus expressing SIRT3 effectively alleviated OA progression in mice. Mechanistically, we demonstrated that elevated CRTAC1 could bind with NRF2 in chondrocytes, which subsequently suppresses the transcription of SIRT3 in vitro. In addition, SIRT3 reduction could promote the acetylation of FOXO3a and result in mitochondrial dysfunction, which finally contributes to the degradation of chondrocytes. To conclude, this work revealed the critical role and underlying mechanism of senescent FLSs-derived CRTAC1 in OA progression, which provided a potential strategy for the OA therapy.