AIM: To investigate the expression of serum growth differentiation factor 11(GDF11)and thrombospondin 1(TSP1)in patients with diabetic retinopathy(DR), and discuss their relationship with microvascular injury.METHODS: Totally 102 DR patients were served as DR group and assigned into non proliferative DR group(NPDR group)and proliferative DR group(PDR group)based on the severity of DR lesions. Meantime, 100 patients with simple diabetes were served as control group. Serum indicators of microvascular injury including vascular endothelial growth factor(VEGF), endothelial cells(ECs), endothelial progenitor cells(EPCs), and levels of GDF11 and TSP1 were measured in each group. Pearson method was used to discuss the correlation between GDF11, TSP1 and microvascular injury indicators. Logistic regression was used to discuss the factors that affected the occurrence of DR. Receiver operating characteristic(ROC)curve was applied to analyze the evaluation value of serum GDF11 and TSP1 for the DR conditions.RESULTS: For the control group, DR group had lower EPCs and GDF11, and higher VEGF, ECs, and TSP1 levels(all P<0.05). The PDR group had lower GDF11 and higher TSP1 than the NPDR group(all P<0.05). Serum GDF11 was negatively related to VEGF and ECs(r=-0.486, -0.511, all P<0.001), and positively related to EPCs(r=0.475, P<0.001). TSP1 was positively related to VEGF and ECs(r=0.579, 0.594, all P<0.001), and negatively related to EPCs(r=-0.505, P<0.001). Moreover, GDF11 and TSP1 were negatively correlated(r=-0.443, P<0.001). The course of T2DM, VEGF, and TSP1 were risk factors for DR, while GDF11 was a protective factor(all P<0.05). The AUC of GDF11, TSP1, and combined diagnosis for PDR conditions was 0.819, 0.822, and 0.915, respectively. The combined diagnosis was better than single diagnosis(Zcombination-GDF11=2.070, P=0.039, Zcombination-TSP1=2.274, P=0.023).CONCLUSION: GDF11 and TSP1 are closely associated with microvascular injury in DR patients and are related to the progression of DR disease, and the combined detection of their serum levels is of clinical value in the assessment of DR disease.

OBJECTIVES: To investigate the targets and mechanisms of 7-hydroxyethyl chrysin (7-HEC) in prevention and treatment of high-altitude cerebral edema (HACE) in rats. METHODS: Fifty-four male Wistar rats were randomly divided into normal control group, HACE model group, and 7-HEC-treated group (18 rats in each group). Except for the normal control group, rats in the two other groups were exposed to a hypobaric hypoxic chamber simulating a 7000 m altitude for 72 h to establish the HACE model. The 7-HEC-treated group was intraperitoneally injected with 7-HEC (150 mg·kg^－¹·d^－¹) for 3 consecutive days before modeling, while the model group received equivalent isotonic sodium chloride solution. Tandem Mass Tag (TMT) proteomics technology was used to detect differentially expressed proteins (DEPs) with screening criteria set at a fold change >1.2 and P<0.05. Western blotting was used to verify the expression levels of target proteins. Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction (PPI) network analysis were performed. RESULTS: Compared with the normal control group, 256 DEPs were identified in the HACE model group. Compared with the HACE model group, 87 DEPs were identified in the 7-HEC-treated group. Among them, 19 DEPs that were dysregulated in the HACE model group were restored after 7-HEC intervention, of which seven (HSPA4, Arhgap20, SERT, HACL1, CCDC43, POLR3A, and PCBD1) were confirmed by Western blotting. GO enrichment analysis of the DEPs between the HACE model and 7-HEC-treated groups revealed their involvement in 13 biological processes, five cellular components, and two molecular functions. KEGG pathway analysis indicated associations with the mRNA surveillance pathway, Th17 cell differentiation, serotonergic synapse, RNA polymerase, protein processing in the endoplasmic reticulum, peroxisome, neuroactive ligand-receptor interaction, folate biosynthesis. PPI network analysis demonstrated that HSPA4, POLR3A, and HACL1, which were validated by Western blotting, interacted with multiple signaling pathways and ranked among the top 20 hub proteins by degree value, suggesting their potential role as core regulatory factors. Arhgap20, SERT and PCBD1 also exhibited interactions with several proteins, suggesting their potential as key regulatory proteins, whereas no interactions for CCDC43 were identified. CONCLUSIONS This study applied TMT proteomics to identify seven potential therapeutic targets of 7-HEC for the prevention and treatment of HACE. These targets may be involved in the pathogenesis of HACE through multiple pathways, including maintaining cellular homeostasis, ameliorating oxidative stress, regulating energy metabolism, and reducing vascular permeability.
Animals ; Male ; Proteomics/methods* ; Rats, Wistar ; Flavonoids/therapeutic use* ; Rats ; Brain Edema/etiology* ; Altitude Sickness/metabolism* ; Protein Interaction Maps

To address the problem of large reconstruction errors in 3D pulse signals caused by excessively small out-of-plane displacement of the contact membrane in the existing traditional Chinese medicine fingertip tactile binocular vision detection technology, this study proposes a 3D pulse image detection method based on subtle motion magnification technology and explores its application in pulse pattern recognition. Firstly, a 3D pulse image detection system based on binocular vision to obtain pulse image signals is developed as experimental data. Then, the phase motion video magnification algorithm is used to amplify the original signals, and the amplified signals are reconstructed in three dimensions to obtain 3D pulse signals. On this basis, nine features are extracted from the 3D pulse signals and features selection is performed using a two-sample Kolmogorov-Smirnov test. Finally, machine learning algorithms such as decision trees and random forests are used to identify the five types of pulse conditions: deep pulse, intermittent pulse, flooding pulse, slippery pulse, and rapid pulse. The experimental results show that compared to the methods without subtle motion magnification technology, the proposed method significantly improves waveform clarity, amplitude stability, and periodic regularity. Meanwhile, the average accuracy in pulse pattern recognition reaches 96.29%±0.26%.
Algorithms ; Imaging, Three-Dimensional/methods* ; Pattern Recognition, Automated ; Medicine, Chinese Traditional ; Motion ; Humans ; Pulse ; Signal Processing, Computer-Assisted ; Machine Learning

Abdominal aortic aneurysm (AAA) is a deadly condition of the aorta, carrying a significant risk of death upon rupture. Currently, there is a dearth of efficacious pharmaceutical interventions to impede the advancement of AAA and avert it from rupturing. Here, we investigated dihydromyricetin (DHM), one of the predominant bioactive flavonoids in Ampelopsis grossedentata (A. grossedentata), as a potential agent for inhibiting AAA. DHM effectively blocked the formation of AAA in angiotensin II-infused apolipoprotein E-deficient (ApoE^-/-) mice. A combination of network pharmacology and whole transcriptome sequencing analysis revealed that DHM's anti-AAA action is linked to heme oxygenase (HO)-1 (Hmox-1 for the rodent gene) and hypoxia-inducible factor (HIF)-1α in vascular smooth muscle cells (VSMCs). Remarkably, DHM caused a robust rise (∼10-fold) of HO-1 protein expression in VSMCs, thereby suppressing VSMC inflammation and oxidative stress and preserving the VSMC contractile phenotype. Intriguingly, the therapeutic effect of DHM on AAA was largely abrogated by VSMC-specific Hmox1 knockdown in mice. Mechanistically, on one hand, DHM increased the transcription of Hmox-1 by triggering the nuclear translocation and activation of HIF-1α, but not nuclear factor erythroid 2-related factor 2 (NRF2). On the other hand, molecular docking, combined with cellular thermal shift assay (CETSA), isothermal titration calorimetry (ITC), drug affinity responsive target stability (DARTS), co-immunoprecipitation (Co-IP), and site mutant experiments revealed that DHM bonded to HO-1 at Lys243 and prevented its degradation, thereby resulting in considerable HO-1 buildup. In summary, our findings suggest that naturally derived DHM has the capacity to markedly enhance HO-1 expression in VSMCs, which may hold promise as a therapeutic strategy for AAA.

Under stress,the cold-inducible RNA-binding protein(CIRP)is translocated from the nucleus to the cytoplasm and subsequently released outside the cell.Extracellular CIRP(eCIRP),acting as a damage-associated mo-lecular pattern,amplifies inflammation through various mechanisms and leads to an uncontrolled inflammatory response,thereby contributing to the occurrence and progression of sepsis and other critical pathological processes.Certain CIRP-tar-geting drugs have demonstrated promising anti-sepsis effects through the reduction of CIRP expression,the decrease of eCIRP release,the neutralization of eCIRP,or the intervention in receptor binding.This review examines the release mechanism of CIRP and the role of eCIRP in the development of sepsis,with the aim of providing new insights for the pre-vention and treatment of sepsis by targeting eCIRP.

Objective:To investigate the relationship between different types of tea intake and COVID-19 infection.Methods:Data were retrieved from a genome-wide association study(GWAS),involving 447 485,and 64 949 people for single nucleotide polymorphisms(SNPs).Two-sample Mendelian randomization(MR)analysis was used to investigate the relationship of different types of tea intake with four subgroups of COVID-19 infected population,including COVID-19 infected population versus general population,COVID-19 hospitalized population versus general population,COVID-19 hospitalized population versus non-hospitalized population,and very severe respiratory confirmed population versus general population.Inverse-variance weighted(IVW)method was used as the main method of causal analysis.MR Egger intercept was used for pleiotropy test,and Cochran's Q-statistic was used for heterogeneity test.Results:Compared to the general population,tea intake decreased the incidence of COVID-19 in the infection population(IVW method,OR=0.806,95%CI:0.651-0.999),and the hospitalized population(IVW method,OR=0.533,95%CI:0.369-0.770).Additionally,the underlying pleiotropy was not found following the MR-Egger regression intercept(MR intercept=-0.002,P=0.667),and the Cochran's Q-statistic showed no heterogeneity(Q-statistic=52.712,P=0.057).Compared to the general population,the underlying pleiotropy in the hospitalized patients was not found by MR-Egger regression intercept(MR intercept=-0.001,P=0.909),and the Cochran's Q-statistic showed no heterogeneity(Q-statistic=25.214,P=0.945).However,green tea and herbal tea had no effect on COVID-19 infection.Conclusions:Overall tea intake reduces the risk of COVID-19 infection in the general population compared to COVID-19 infected and hospitalized populations,while green tea and herbal tea have no protective effect against COVID-19 infection.

With the rapid development of artificial intelligence(AI),how to digitize the teaching of Medical Immunology is a new challenge posed by the times and education.This study is based on the advanced teaching model of Medical Immunology,which includes lectures-PAD class-flipped classrooms-expert lecture.By introducing knowledge mapping and AI teaching assistant into the entire learning process,the students not only deepen their understanding of the knowledge system of Medical Immunology,but also ex-ercise their ability to apply immunological knowledge to solve practical clinical problems,enhance their self-learning ability,expres-sion ability,communication ability,on-site performance ability,and cultivate a spirit of unity,cooperation,and exploration.The practice of empowering Medical Immunology teaching with digital intelligence achieves the integration of theory and application,the linkage between in class and out of class teaching,the connection between commonalities and individualities,and the union of abili-ties and qualities in Medical Immunology teaching.It also provides practical basis for exploring the implementation path of digital intel-ligence empowerment in Medical Immunology teaching.

Purpose This study aimed to explore the mucinous phenotype characteristics,key points of differenti-al diagnosis and prognosis of invasive non-mucinous adenocarcinoma(INMA)and invasive mucinous adenocarcinoma(IMA)under the WHO(2021)lung adenocarcinoma classification.Methods We retrospectively collected clinico-pathological data from 522 cases of lung adenocarcinoma,including 425 INMA(66 with mucin secretion,259 without mucin secretion)and 97 IMA.Immunohistochemical(IHC)staining using the EnVision method was performed on the mucin-secreting adenocarcinoma to assess expression of TTF-1,HNF4α,MUC1,MUC4,MUC5AC,MUC5B,and MUC6.Unsupervised clustering analysis was conducted to explore phenotypic subgroups.Results 522 patients with lung adenocarcinoma ranged from 32 to 83 years old(median:61).251 cases(48.1％)were male and 271 cases(51.9％)were female.Clustering analysis divided lung adenocarcinomas into two major groups:one characterized by TTF-1-/HNF4α+and gastric-type mucins MUC5AC+/MUC6+,predominantly IMA;the other,TTF-1+/HNF4α-/MUC4+,largely INMA.A three-marker IHC panel(TTF-1,HNF4α,MUC6)distinguished IMA from mucinous IN-MA with an area under the ROC curve(AUC)of 0.957(95％CI:0.928-0.986)and a Youden's index of 0.860.Further cluster analysis of INMA cases identified four phenotypic subgroups.Prognostic analysis demonstrated that pa-tients with advanced-stage mucin-secreting INMA had significantly shorter overall survival(OS)and progression-free survival(PFS)than those without mucin secretion(5-year OS:57.1％ vs 81.8％,P=0.004;3-year PFS:40.9％ vs 62.4％,P=0.004).No significant survival differences were noted among INMA subgroups stratified by varying mucin proportions.Multivariate analysis identified pathological stage,tumor necrosis,KRAS mutation,and TTF-1 negativity as independent adverse prognostic factors for both OS and PFS in mucinous INMA.Conclusion A three-marker im-munohistochemical panel of TTF-1,HNF4α,and MUC6 is recommended to distinguish IMA from mucinous INMA.Mucus component portends a worse prognosis in advanced INMA,with necrosis,KRAS mutations,and TTF-1 negativi-ty serving as independent adverse prognostic factors in mucinous INMA.

Objective To establish and compare rat models of psoriasis with blood-heat syndrome and blood-stasis syndrome.Methods The blood-heat syndrome model was induced by compound heat potion decoction and imiquimod.The blood-stasis syndrome model was induced by fatigue,hunger,cold dampness,panic and imiquimod.The groups were evaluated for TCM syndromes,psoriasis lesions,pathological tissue,spleen index,hemorheology and key gene expression levels.Results The blood-heat syndrome model group showed significant differences from the control group in syndrome manifestations,PASI score,Baker score,spleen index and plasma viscosity(P<0.05).The blood-stasis model group showed significant differences from the control group in syndrome manifestations,body weight,PASI score,Baker score,spleen index,whole blood viscosity(60s-1),whole blood viscosity(10s-1)and plasma viscosity(P<0.05).The key gene expression levels were different among all syndrome groups.Conclusion The animal models had the typical features of psoriasis and matched the signs of blood-heat syndrome and blood-stasis syndrome of TCM.The models can provide a basis for explaining the scientific meaning of TCM syndrome differentiation in treating psoriasis.

Objective To understand the clinical applicability and implementation of expert consensus on the implementation and removal of protective restraints in psychiatry,and to provide references for promoting the standardized practice of psychiatric protective restraints and updating the consensus.Methods By the convenience sampling method,a questionnaire survey was conducted among nurses from 480 hospitals in 30 provinces from June 15 to July 15,2024.The survey was conducted using the instrument for evaluating clinical applicability of guide-lines(version 2.0)and a self-compiled questionnaire on the clinical implementation of the restraint consensus.Results A total of 7,844 valid questionnaires were collected,with a valid questionnaire recovery rate of 93.78％.The results of clinical applicability scoring showed that the consensus had the lowest availability score(64.72％)and the highest acceptability score(76.74％).The results showed that nurses' receiving training and the level of their hospitals were the main influencing factors for scores in various dimensions(P＜0.05).4,774 participants(87.42％)believed that the application of consensus could enhance the standardization of nurses' restraint operations.The safety rate of the restraint consensus was 79.51％,and the economic ratio was 76.87％.Among the evaluators,1,739(22.17％)believed that there were implementation obstacles in the consensus.Conclusion The clinical applicability of the consensus is relatively good,and the application of the consensus helps to improve the standardization of clinical operations.In the future,efforts should be made to strengthen the promotion and training of the consensus,develop hierarchical promotion strategies according to the characteristics of medical institutions,and improve the quality of evidence for the consensus,so as to further enhance the clinical application effect of the consensus.