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.

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 role and mechanism of paeoniflorin(PF)in sepsis-associated acute kidney injury(SA-AKI)in mice.Methods Mouse SA-AKI model was constructed by intraperitoneal injection of 15 mg/kg LPS.Twenty-four male C57BL/6J mice(6～8 weeks old,weighing 20～25 g)were randomly divided into Control group,model group,PF group(intraperitoneally injected with 50 mg/kg PF 30 min before LPS administration),and β-catenin specific agonist BML284 group(10 mg/kg BML284 by intraperitoneal injection after 50 mg/kg PF administration).The renal histopathological changes were observed by HE staining and Paller scoring.ELISA was used to determine the contents of serum creatinine(Scr),neutrophil gelatinase-associated lipocalin(NGAL)and lactate,and renal contents of hexokinase 2(HK2),lactate dehydrogenase A(LDHA),IL-1β and IL-18.Western blotting was performed to detect the expression of total β-catenin,p-β-cateninY654,nucleus β-catenin and c-Myc.Results Compared with the Control group,the LPS group showed obviously damaged renal tissue,higher Paller score(P＜0.05),increased serum Scr and NGAL levels(P＜0.05),elevated renal contents of aerobic glycolytic indexes such as HK2,LDHA and serum lactate,as well as contents of IL-1β and IL-18(P＜0.05),and enhanced expression of total β-catenin,p-β-cateninY654,nucleus β-catenin and c-Myc in the renal tissue(P＜0.05).PF treatment attenuated the renal tissue damage,decreased Paller score(P＜0.05),reduced serum Scr and NGAL levels(P＜0.05),HK2,LDHA and serum lactate levels,and contents of IL-1 β and IL-18 in renal tissues(P＜0.05),and down-regulated the renal expression of total β-catenin,p-β-cateninY654,nucleusβ-catenin and c-Myc when compared with the levels in the model group(P＜0.05).While,addition of BML284 reversed above effects of PF treatment with significant differences(P＜0.05).Conclusion PF can alleviate SA-AKI,and its mechanism may be through its inhibiting the β-catenin/c-Myc pathway,thus reducing the aerobic glycolysis level and inflammatory response in renal tissue.

OBJECTIVE To investigate the expression of long non-coding RNA(lncRNA)HOXC13-AS in head and neck squamous cell carcinoma tissues and its effects on tumor cell proliferation and migration in head and neck tumor cell lines.METHODS Clinical samples from 26 patients with laryngeal squamous cell carcinoma and 4 patients with hypopharyngeal squamous cell carcinoma who were treated surgically in the Second Hospital of Jilin University from March 2024 to December 2024 were collected as research subjects.Head and neck squamous cell carcinoma tissue specimens and corresponding adjacent tissue specimens were selected.The expression of HOXC13-AS in 30 cases of head and neck squamous cell carcinoma tissues and corresponding adjacent tissues was detected by real-time fluorescence quantitative polymerase chain reaction(qRT-PCR).Clinical data were collected to analyze the correlation between HOXC13-AS expression and various clinical pathological factors.siRNA technology was used to interfere with the expression of HOXC13-AS in laryngeal cancer cell line TU212 and hypopharyngeal squamous cell line FaDu.Cell Counting Kit-8(CCK-8)assay was used to detect cell proliferation ability,and cell scratch assay was used to detect cell migration ability.RESULTS The expression level of lncRNA HOXC13-AS in head and neck squamous cell carcinoma tissues(12.60±11.26)was significantly higher than that in corresponding adjacent tissues(1.40±0.61),with a statistically significant difference(t=5.485,P<0.001).The expression of HOXC13-AS in head and neck squamous cell carcinoma tissues was closely related to T stage(P=0.004),lymph node metastasis(P=0.006),and clinical stage(P=0.007)of patients.CCK-8 results showed that the absorbance values of TU212 cell line groups at 24,48,and 72 h were si-NC group(0.373±0.010,0.738±0.026,1.003±0.124),si-HOXC13-AS-1 group(0.365±0.015,0.686±0.019,0.935±0.028),and si-HOXC13-AS-2 group(0.364±0.024,0.700±0.026,0.943±0.053),with statistically significant differences(F24 h=0.484,F48 h=7.893,F72 h=1.345,P<0.01);the absorbance values of FaDu cell line groups at 24,48,and 72 h were si-NC group(0.727±0.054,0.834±0.072,1.224±0.127),si-HOXC13-AS-1 group(0.532±0.005,0.650±0.079,1.021±0.044),and si-HOXC13-AS-2 group(0.647±0.088,0.687±0.025,1.074±0.055),with statistically significant differences(F24 h=16.143,F48 h=14.259,F72 h=9.409,P<0.001).Cell scratch assay showed that the migration rates of TU212 cell line groups at 12 and 24 h were si-NC group(38.971%±3.824%,69.185%±0.469%),si-HOXC13-AS-1 group(18.182%±2.580%,33.378%±2.302%),and si-HOXC13-AS-2 group(25.017%±0.288%,48.413%±0.805%),with statistically significant differences(F12 h=47.295,F24 h=471.745,P<0.0001);The migration rates of FaDu cell lines in each group at 12 and 24 hours were as follows:si-NC group(39.067%±3.196%,58.222%±0.448%),si-HOXC13-AS-1 group(13.689%±0.132%,39.358%±3.985%),and si-HOXC13-AS-2 group(23.335%±0.680%,35.526%±0.758%),with statistically significant differences(F12 h=138.1,F24 h=101.749,P<0.0001).CONCLUSION HOXC13-AS is significantly upregulated in head and neck squamous cell carcinoma tissues and cells,and is associated with the clinical pathological characteristics of patients.Silencing HOXC13-AS can significantly inhibit the proliferation and migration of head and neck tumor cells.

A deep learning-based method for recognizing the minutiae in fingerprint,as well as a Python programming-based evaluation system for quantifying the evidence value of fingerprint was proposed.Firstly,latent fingerprints,which were developed using a series of fluorescent nanomaterials synthesized by chemical methods,were used as unknown fingerprint(UKFP),while ink impressed fingerprints were used as known fingerprint(KFP).Then,the bifurcations and terminations in minutiae were recognized using the improved YOLOv8 deep learning model.After that,the similarity index(Sim.)of UKFP vs KFP were calculated by analyzing the angle similarity factor(α)and the curve similarity factor(β)between UKFP and KFP,meanwhile,the sensitivity index(Sen.)were calculated by analyzing the fineness factor(γ)between UKFP and KFP.The evidence value(EV)of fingerprint was thus obtained by the combination of Sim.and Sen..The calculation formulas for above evaluation factors(i.e.α,β and γ),evaluation indexes(i.e.Sim.and Sen.),and EV were also put forward.Finally,the evaluation system for quantifying the evidence value of fingerprint was established,the feasibility and reliability of this system were verified,and the external factors that impacted on Sim.,Sen.,and EV were investigated in detail.The Python-based evaluation system for quantifying the evidence value of fingerprint could achieve the goals objectively,comprehensively,accurately and efficiently,exhibiting easy operability,high efficiency,responsiveness and reliability.This research was expected to provide beneficial references for quantitatively evaluating and thoroughly developing the evidence value.

The influence of material properties on fingerprint development effects were systematically studied.Firstly,carbon dots/NaYF4 and Cu nanoclusters/starch nanocomposites respectively possessing different fluorescent intensities and dual fluorescent colors,as well as NaYF4 micro-/nano-materials exhibiting different morphologies,sizes,and surface properties were chemically synthesized and further used for latent fingerprint development.Then,the developing effects were comprehensively evaluated by visual analysis combining with spectral characterization and Python-based calculation.Finally,the influences of material properties on latent fingerprint development were quantitatively evaluated from three dimensions including contrast,sensitivity,and selectivity.The fluorescence properties of developing materials and substrates could significantly affect the developing contrast,namely,the stronger the developing signal,the higher the contrast;the weaker the background noise,the higher the contrast.The sizes and morphologies of the developing materials could respectively influence the quantity and quality of developed minutiae,and significantly affect the developing sensitivity,namely,the smaller the particle size of developing materials,the more the quantity of developed minutiae and the higher the sensitivity;the smaller the surface area of developing materials,the higher the quality of developed minutiae and the higher the sensitivity.The surface properties together with the sizes and morphologies of developing materials could influence their adsorption performances,and significantly affect the developing selectivity,namely,the stronger the specific adsorption of developing materials with fingerprint substance,and the weaker the non-specific adsorption of developing materials with substrate,the higher the selectivity.Moreover,the fingerprint development using the materials with suitable surface area and appropriate mass would have a high selectivity.

Objective To explore the factors predicting the reliability of platelet-impedance(PLT-I)re-sults through a retrospective analysis of non-aggregated samples with abnormal platelet histograms.Methods A total of 322 samples with abnormal platelet histograms were collected from the Sysmex XN9000 automatic hematology analyzer,all of which showed no platelet aggregation as determined by the DI-60 auto-matic digital image analysis system.Using the platelet count fluorescent(PLT-F)results as a standard,the absolute and relative deviations of PLT-I results were calculated,and the parameters of samples with devia-tions within and outside the allowable range were analyzed.Logistic regression analysis was used to identify potential factors associated with deviations of PLT-I from PLT-F beyond the allowable range.The receiver op-erating characteristic(ROC)curve was used to evaluate the predictive value of these potential factors for devi-ations beyond the allowable range.Results The deviations of PLT-I from PLT-F were within the allowable range in 279 cases(86.65％)and outside the allowable range in 43 cases(13.35％).Comparisons between the two groups revealed statistically significant differences in mean red blood cell valume(MCV),red blood cell distribution width-cuefficient of variation(RDW-SD),DI-60 red cell fragments,platelet distribution width(PDW),and DI-60 large platelet ratio(P＜0.05).Logistic regression indicated that DI-60 red cell fragments and DI-60 large platelet ratio were independent potential factors for deviations of PLT-I from PLT-F beyond the allowable range(P＜0.05).The cut off values for predicting deviations beyond the allowable range were 1.75 for DI-60 red cell fragments and 66％for DI-60 large platelet ratio.The area under the curve(AUC)for the combined diagnosis of the two factors was 0.813,with a sensitivity of 88.4％and a specificity of 66.3％,indicating a higher predictive value than individual factors(P＜0.05).Conclusion When platelet histograms are abnormal,DI-60 large platelet ratio and DI-60 red cell fragments are independent potential factors predic-ting the reliability of PLT-I results,and their combination has a high predictive value.

ObjectiveTo observe the clinical efficacy and safety of Mailuoning compound solution in the treatment of hip joint pain via nerve blocks around the hip joint. MethodsFrom March 2015 to March 2019，a total of 136 patients with hip joint pain who met the inclusion criteria were admitted and divided into an observation group and a control group according to the random number table method. Among them，six cases fell off due to failure to complete five treatments，and finally， 130 patients entered clinical observation，with 65 cases in each group. The observation group used Mailuoning compound solution for nerve blocks around the hip joint（including obturator nerve，femoral nerve branch，superior gluteal nerve， and hip fascia）. The control used Mailuoning compound solution for a simple obturator nerve block. The differences in the visual analogue scale （VAS） and Harris score of hip joint of the two groups before and after treatment were observed. Any adverse drug reactions and adverse events during the treatment of the patients were recorded. ResultsThe VAS score of the two groups was significantly decreased after treatment （P<0.01）. The observation group had a more significant decrease compared to the control group（P<0.01）. The total Harris score of hip joint， pain degree，function score， and motion of joint of the two groups were significantly improved after treatment （P<0.01）. Compared with the control group，the improvement in the total Harris score of hip joint， pain degree，and function score was more significant in the observation group （P<0.01）. The clinical efficacy based on the Harris score of hip joint of the two groups was compared. The excellent and good rate of the observation group was 84.62% （55/65）， which was significantly better than that of the control group ［56.92% （37/65）］ （χ²=12.05，P<0.01）. The follow-up results showed that the patients who achieved excellent and good results had stable curative effects and low recurrence rates，and there was no significant difference in recurrence rate between the two groups. Case analysis showed that after treatment of femoral head necrosis，the saccular transparent shadow of the femoral head was significantly reduced，and the number of bone trabeculae increased. The low-density shadow decreased as can be seen on hip X-rays. In patients with hip osteoporosis after treatment，the number of bone trabeculae increased， and the low density shadow reduced. ConclusionThe use of Mailuoning compound solution for nerve blocks around the hip joint gives full play to the synergistic effect of Mailuoning compound solution and nerve block. It can effectively relieve hip joint pain，promote the recovery of hip joint function，reduce the disability rate，and improve the quality of life of patients. Early intervention is an important link in the treatment of hip joint pain diseases，which can effectively control the development of the patient's disease. Mailuoning compound solution is a new idea and method to treat hip joint pain through neuroregulation，which is easy to operate，with high safety and good therapeutic effect. In future studies，a larger sample size is needed，and more in-depth research should be conducted on the imaging changes and mechanisms of action for various hip joint pain diseases.