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.

ObjectiveTo investigate the therapeutic mechanism of Xuefu Zhuyutang （XFZYT） for metabolic-associated fatty liver disease （MAFLD） through integrated network pharmacology and animal experiments. MethodsNetwork pharmacology was utilized to predict the core components， key therapeutic targets， and signaling pathways of XFZYT in the treatment of MAFLD. For animal experiments， a rat model of MAFLD was established by feeding a high-cholesterol diet for 4 weeks. Intervention was then administered with low-dose （2 g·kg^-1） and high-dose （4 g·kg^-1） XFZYT for 2 weeks. Biochemical assays were performed to measure the serum levels of aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein （HDL）， and low-density lipoprotein （LDL）. In addition， the activities of superoxide dismutase （SOD） and catalase （CAT） and levels of malondialdehyde （MDA） and glutathione （GSH） in the serum were measured. The same way was adopted to measure the levels of TC and TG in the liver tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to quantify the serum levels of interleukin （IL）-6， IL-1β， and tumor necrosis factor-alpha （TNF-α）. Histopathological evaluations included hematoxylin and eosin （HE） staining for liver tissue morphology， Oil Red O staining for lipid deposition， and dihydroethidium （DHE） probe staining for reactive oxygen species （ROS） levels. Western blot analysis was conducted to assess the protein levels of AMP-activated protein kinase （AMPK）， phosphorylated （p）-AMPK， nuclear factor erythroid 2-related factor 2 （Nrf2）， heme oxygenase-1 （HO-1）， nuclear factor-kappa B （NF-κB）， and p-NF-κB in the liver tissue. Untargeted metabolomics analysis of the serum was performed by liquid chromatography-tandem mass spectrometry （LC-MS/MS）. ResultsNetwork pharmacology analysis predicted 155 potential targets of XFZYT for MAFLD treatment， with core targets including signal transducer and activator of transcription 3 （STAT3）， protein kinase B1 （Akt1）， TNF， and IL-6. Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment primarily implicated the AMPK signaling pathway. Animal experiments demonstrated that compared with the normal group， the model group exhibited dyslipidemia， hepatic function impairment， pronounced hepatic lipid deposition， and inflammatory manifestations， with elevated serum levels of AST， ALT， TC， TG， LDL， and MDA （P<0.05）， reduced HDL and GSH levels plus decreased SOD and CAT activities （P<0.05）， downregulated protein levels of Nrf2， HO-1， and p-AMPK （P<0.05）， and upregulated protein level of p-NF-κB （P<0.05） in the liver tissue. Compared with the model group， XFZYT intervention groups showed significant amelioration of dyslipidemia and hepatic function impairment， markedly reduced hepatic lipid deposition and inflammatory cell infiltration， decreased serum levels of AST， ALT， TC， TG， LDL， and MDA （P<0.05）， increased HDL and GSH levels plus enhanced SOD and CAT activities （P<0.05）， upregulated protein levels of Nrf2， HO-1， and p-AMPK （P<0.05）， and downregulated protein level of p-NF-κB （P<0.05）. Serum metabolomics revealed 511 differentially expressed metabolites （231 upregulated and 280 downregulated） between normal and model groups， while XFZYT groups versus model group showed 94 differential metabolites （51 upregulated and 43 downregulated）. Among them， 11 metabolites displayed the most significant alterations， with enriched pathways including glycerolipid metabolism， cholesterol metabolism， and insulin resistance， multiple of which demonstrated AMPK association. ConclusionXFZYT alleviates MAFLD by regulating the AMPK signaling pathway and associated metabolic networks.

The prescription of Qidong Yixin oral liquid is derived from the experience of national medical master Ren Jixue in treating viral myocarditis （VMC）. It has the functions of tonifying Qi， nourishing the heart，calming the mind， and relieving palpitations. It is used to treat VMC and angina pectoris of coronary heart disease caused by deficiency of both Qi and Yin. However，the understanding of its efficacy evidence， advantageous aspects， dosage and administration， and medication safety remains insufficient in clinical practice. Therefore，the development of the Expert Consensus on the Clinical Application of Qidong Yixin Oral Liquid （hereinafter referred to as consensus） was initiated. Consensus strictly followed the process and methods of the expert consensus on the clinical application of Chinese patent medicines of the China Association of Chinese Medicine，successively completing multiple tasks such as the consensus project initiation，determination of clinical problems，evidence search and evaluation，formation of recommendation opinions and consensus suggestions，solicitation of opinions，peer review， submission for review and release， and so on. Consensus formed a total of 10 recommendation opinions and 12 consensus suggestions，clarifying the clinical positioning，efficacy advantages，syndrome differentiation，dosage and administration，combination therapy，timing of medication，adverse reactions，contraindications， and precautions of Qidong Yixin oral liquid，indicating that it has good clinical advantages and safety in the treatment of VMC and angina pectoris of coronary heart disease，providing norms and references for physicians to safely and rationally apply Qidong Yixin oral liquid. Consensus was reviewed and approved for release by the Standardization Office of the China Association of Chinese Medicine on December 23， 2024. Standard number：GSCACM-376-2024.

Background: The hypotension prediction index (HPI) is an algorithm designed to predict hypotension. Some studies have reported that HPI-guided hemodynamic management strategies decrease intraoperative hypotension and complications; however, the effect of HPI on reducing perioperative complications is controversial. This meta-analysis aimed to assess the efficacy of the HPI in reducing major complications and intraoperative hypotension. Methods: We conducted this meta-analysis according to the PRISMA statement and Cochrane Handbook guidelines. A comprehensive literature review was conducted to identify studies focusing on the efficacy of HPI-guided management in reducing intraoperative hypotension and postoperative complications. The PubMed, Embase, Scopus, and Web of Science databases were searched, and the resulting data were combined to calculate the pooled mean differences or risk ratios (RRs) with 95% CIs of both randomized controlled trials (RCTs) and retrospective studies, as appropriate. Heterogeneity and potential publication bias were also assessed. Results: Nineteen articles (12 RCTs and 7 retrospective studies) with 2570 recruited patients were included in this meta-analysis. The critical evaluation of the study quality revealed a low risk of bias in the included RCTs. Among the non-randomized trials, one was rated 7, two were rated 8, and the remaining four were rated 9 on the Newcastle-Ottawa Scale, indicating high quality and a low risk of bias. HPI-guided management significantly reduced intraoperative hypotension and associated major complications (RR = 0.79, 95% CI [0.69–0.90], I2 = 0, P < 0.001). Blood loss and length of hospital stay were comparable between the groups. Conclusions HPI-guided management significantly reduced intraoperative hypotension and major complications.

Sinusoidal obstruction syndrome/veno-occlusive disease （SOS/VOD） after hematopoietic stem cell transplantation （HSCT） in children has high incidence and mortality rates， and missed diagnosis of jaundice-free cases is common. In addition， there are still controversies over the efficacy of prophylactic defibrotide （DF） use， and the European Medicines Agency does not recommend the prophylactic use of DF， whereas clinical needs remain urgent. In 2026， by integrating controversial research evidence and focusing on specific prophylaxis for high-risk children， the European Society for Blood and Marrow Transplantation established a weighted cumulative scoring system to quantify risks and accurately identify the populations who may benefit from DF prophylaxis， in order to provide evidence-based support for the prophylactic use of DF， reduce the incidence and mortality rates of SOS/VOD in children， and improve the prognosis of patients. This article gives an excerpt of the key points in the consensus guidelines.

Objective:To investigate the drug resistance gene characteristics, plasmid characteristics and genome tracing of Shigella sonnei causing a bacillary dysentery outbreak in Shandong Province. Methods:Sixty-five Shigella sonnei strains isolated from a 2021 outbreak in a county of Shandong Province were analyzed using antimicrobial susceptibility testing, whole genome sequencing (WGS), characterization of resistance and virulence genes, plasmid profiling, core genome multilocus sequence typing (cgMLST), and single nucleotide polymorphism (SNP) analysis. Results:All isolates had the same resistance phenotype and genotypes and were multidrug-resistant ESBL-producing Shigella sonnei, carrying important virulence genes. Plasmid analysis revealed a conserved genetic arrangement, pil( M/ N/ O2/ P)-tra( F/ H/ J/ K/ N/ O/ P/ Q)-IS Ecp1- blaCTX-M-14-Tn 903- yub( J/ I/ F/ G/ E/ D), and shared across strains from diverse regions and bacterial species. The cgMLST and SNP analyses demonstrated concordant clustering, with all 65 outbreak-related strains forming a single cluster alongside human-derived strains from Guangxi. Conclusion:The ESBL-producing Shigella sonnei responsible for the outbreak shares a homologous relationship with Guangxi human-derived strains, and the detected resistance plasmids and virulence genes underscore the need to strengthen drug resistance surveillance and genome tracing.

Objective:To determine the prevalence of self-reported food allergies among children in the grasslands of North China and to analyze its associated risk factors.Methods:In this study, a cross-sectional epidemiological survey method was used to select children under 14 years old by multi-stage, stratified and random cluster sampling in the grassland ecological area of Zhangbei County, Hebei Province, China from May to July 2018. Face-to-face questionnaires were administered to gather food allergy-related information from the participants. Multivariate logistic regression analysis was used to analyze the risk factors associated with self-reported food allergy.Results:A total of 2 086 children completed the survey. The prevalence of self-reported food allergies was 22.0%(459/2 086). The prevalence of multiple food allergies (≥3 types) was 3.1%(64/2 086) versus 16.3% (341/2 086) for a single food allergy among all children. Mango allergy (6.1%, 127/2 086) was the most common, followed by peach allergy (4.1%, 85/2 086). Children who reported food allergies had a significantly higher prevalence of all 4 atopic disorders (eczema, asthma, allergic rhinitis, and allergic conjunctivitis than those without food allergies(35.73% vs. 20.65%, 5.88% vs. 2.77%, 17.86% vs. 7.38%, 16.78% vs. 10.45%, χ2 =44.663 1, 10.434 3, 45.038 3, 13.728 4, all P<0.001).Significantly associated risk factors of food allergy were found to be pollen allergy ( OR: 2.29; 95% CI: 1.80-2.92) and drug allergy ( OR: 1.53; 95% CI: 1.12-2.09). Conclusions:The prevalence of self-reported food allergies among children in the Zhangbei County area of the North China Grassland was relatively high. Pollen allergy and drug allergy are major risk factors.

Objective:To develop a financing model for the urban and rural residents′ basic medical insurance (URBMI) based on medical service costs, providing a scientific foundation for achieving a balance between fund revenue and expenditure.Methods:Drawing on operational experience from regional hospitals, 10 key factors influencing URBMI fund expenditures were distilled: the number of hospital beds per thousand population, annual hospitalization rates per hundred population, average length of stay, bed occupancy rate, county-level hospitalization rate, regional age-specific medical expenditure index, proportion of hospital personnel costs in medical revenue, number of hospital staff per bed, average annual personnel costs per employee, and the average reimbursement rate for insured individuals. Based on these 10 key factors, a URBMI financing model for a sample region was developed, and the reasonable per-capita medical expenditure and the sustainability threshold of per-capita financing were preliminarily estimated.Results:Model calculations revealed that the predicted reasonable per-capita medical expenditure of the sample county was 4 140.9 yuan. Assuming an average reimbursement rate of 50% for URBMI enrollees, the per-capita financing requirement was at least 2 070.5 yuan. Sensitivity analysis showed that the sustainability threshold of per-capita financing was more sensitive to changes in average length of stay and the proportion of hospital personnel costs in medical revenue.Conclusions:This study constructed a URBMI financing model based on 10 key factors affecting fund expenditures. By adjusting regional characteristic variables, the model can reflect how regional economic conditions and health-care needs influence URBMI financing requirements.

Objective:To screen for microRNAs(miRNAs)highly expressed in the serum exosomes(Exo)of esophageal squamous cell carcinoma(ESCC)patients and analyze their relationship with the clinicopathological characteristics of the patients,and to explore the potential of Exo-derived miRNAs as clinical auxiliary diagnostic markers for ESCC.Methods:Serum and relevant clinical data of 50 healthy subjects and 45 newly diagnosed ESCC patients admitted to the Fourth Hospital of Hebei Medical University between December 2021 and June 2023 were collected,serving as the control group and the ESCC group respectively.The Gene Expression Omnibus(GEO)database and qPCR were used to screen and identify the candidate miRNA for increased expression in the serum of ESCC patients-miR-1246.The diagnostic efficacy of serum miR-1246 for ESCC was analyzed by the receiver operating characteristic curve.The relationship between miR-1246 and the clinical feature progression of ESCC patients was analyzed by Logistic regression,and the relationship between miR-1246 and the clinicopathological characteristics of ESCC patients was analyzed by the χ2 test.Exosomes in the serum of the subjects were isolated,purified and characterized for verification.The expression of miR-1246 in Exo was detected by qPCR.ESCC KYSE150 and KYSE30 cells were routinely cultured.mimics-NC and miR-1246 mimics were transfected respectively into KYSE150 cells using Lipofectamine 2000.Inhibitor-NC and miR-1246 inhibitor were transfected into KYSE30 cells,which were respectively denoted as the minics-NC,miR-1246 mimics,inhibitor-NC and miR-1246-inhibitor groups.KYSE150 and KYSE30 cells were treated with Exo derived from KYSE150 cells in the mimics-NC and miR-1246 mimics groups.The proliferation,migration and invasion abilities of cells in each group were detected by the CCK-8 assay,scratch wound healing assay and Transwell chamber assay respectively.The expressions of Exo markers,epithelial-mesenchymal transition-related proteins,TET family methylcytosine dioxygenase 2(TET2)and cell adhesion molecule 1(CADM1)proteins in each group of cells were detected by WB assay.The targeting binding relationship between miR-1246 and TET2 and CADM1 was verified by the dual-luciferase reporter gene assay.Results:Bioinformatics screening showed that the miRNA with the most significant differential expression in the serum of ESCC patients was miR-1246.The serum Exo extracted from the patients conformed to the typical Exo characteristics.The expression level of serum Exo-miR-1246 in ESCC patients at stages Ⅰ-Ⅱ was significantly higher than that in healthy subjects(P<0.01);the level of serum Exo-miR-1246 in ESCC patients at stages Ⅲ-Ⅳ was significantly higher than that in patients at stages Ⅰ-Ⅱ(P<0.01).ROC curve analysis showed that Exo-miR-1246 in serum had a high value for auxiliary differential diagnosis of ESCC(P<0.05),and the auxiliary diagnostic efficacy of Exo-miR-1246 for the clinical progression of ESCC patients was higher than that of CEA and SCC-Ag(P<0.05).The combined detection of the three could further improve the efficacy of auxiliary diagnosis of patient staging(P<0.01).Exo-miR-1246 might be an independent risk factor for the clinical progression of ESCC patients(P<0.05).The expression level of serum Exo-miR-1246 was associated with the T-stage,N-stage and clinical stage of ESCC(P<0.01).Overexpression of miR-1246 could promote the proliferation,migration,invasion,epithelial-mesenchymal transition and inhibit apoptosis of ESCC cells,while inhibition of miR-1246 had the opposite effect.Database data analysis found that TET2 and CADM1 were the target genes of miR-1246.The dual-luciferase reporter gene assay confirmed that miR-1246 could directly bind to TET2 and CADM1 mRNA and inhibit their expressions(P<0.01).Treatment of KYSE150 and KYSE30 cells with Exo derived from cells overexpressing miR-1246 had the same effect as overexpressing miR-1246 in these cells.Conclusion:Exo-derived miR-1246 has the potential to be a clinical auxiliary diagnostic marker for ESCC.It may affect the occurrence and development of ESCC by regulating the expression levels of TET2 and CADM1.