ObjectiveTo explore the distribution pattern of tongue image characteristics in patients with glucolipid metabolic disorders and its main syndromes. MethodsA total of 841 patients with glucolipid metabolic disorders （disease group）， and 380 healthy subjects （control group） were included. The disease group was classified into three syndrome types： 283 cases of liver depression and spleen deficiency syndrome， 311 cases of phlegm-dampness obstruction syndrome， and 247 cases of qi stagnation and blood stasis syndrome. Tongue image data were collected using the TFDA-1 Tongue Diagnosis Instrument， and the TDAS V3.0 software was used to analyze the color， texture， and morphological features of the tongue body （TB） and tongue coating （TC） in patents with different syndromes of disease group （including lightness （L）， red-green axis （a）， yellow-blue axis （b）， luminance （Y）， difference between red signal and brightness （Cr）， difference between blue signal and brightness （Cb）， contrast （CON）， angular second moment （ASM）， entropy （ENT）， mean value （MEAN）， tongue coating area/tongue surface area （perAll）， and tongue coating area/non-coated area （perPart））. Logistic regression analysis was conducted to identify influencing factors for different syndrome types of glucolipid metabolic disorders. ResultsThe tongue body indicators TB-L， TB-Y， and TB-Cb in the disease group were significantly higher than those in the control group， while TB-a， TB-b， and TB-Cr were significantly lower. The tongue coating indicators TC-L， TC-Y， TC-Cb， perAll， and perPart in the disease group were significantly higher than those in the control group， while TC-a， TC-b， and TC-Cr were significantly lower （P＜0.05）. Comparing with the different syndromes in disease group， the TB-L and TB-Y of the liver depression and spleen deficiency syndrome， and the phlegm-damp obstruction syndrome were higher than those of the qi stagnation and blood stasis syndrome； the TB-a and TB-Cr of the phlegm-damp obstruction syndrome were lower than those of the qi stagnation and blood stasis syndrome； the perAll of the phlegm-damp obstruction syndrome was higher than that of the qi stagnation and blood stasis syndrome （P＜0.05）. In the analysis of the morphological characteristics of tongue signs， more spotted tongue in disease group compared with control group， more teeth-marked tongue in liver depression and spleen deficiency syndrome than the other two syndromes， more greasy coating in phlegm-damp obstruction syndrome， and more stasis spots of tongue in qi stagnation and blood stasis syndrome （P＜0.05）. Logistic regression analysis identified that greasy coating， spotted tongue， stasis spots of tongue， tooth-marked tongue， perAll， and TB-Cb are the influencing factors of liver depression and spleen deficiency syndrome； greasy coating， tooth-marked tongue， TC-Cb， and TC-Cr are the influencing factors of phlegm-damp obstruction syndrome； cracked tongue， stasis spots of tongue， tooth-marked tongue， and TB-Y are the influencing factors of qi stagnation and blood stasis syndrome （P＜0.05）. ConclusionCompared to healthy individuals， patients with glycolipid metabolic disorder have darker tongue color and thicker， greasy tongue coating. Glycolipid metabolic disorder patients of liver depression and spleen deficiency syndrome exhibit a reddish tongue with finer textures and more tooth marks； patients of phlegm-damp obstruction syndrome have lighter tongue coating with a coarser texture and a higher prevalence of greasy coating； patients of qi stagnation and blood stasis syndrome display lower tongue brightness with a higher prevalence of blood stasis spots.

Objective:To explore the clinical features and genetic etiology of a child with a SETD1B gene variant causing seizures and language delay. Methods:A child with a SETD1B gene variant admitted to the Department of Pediatric Neurology at the Third Affiliated Hospital of Zhengzhou University in September 2022 was selected as the study subject. Clinical data of the child were collected, and peripheral blood samples from the child and her parents were obtained. Whole exome sequencing (WES) was performed for genetic testing, and Sanger sequencing was used for familial validation of the candidate variant. Using " SETD1B" and " epilepsy" as the Chinese and English keywords, relevant cases were retrieved from databases including CNKI, Wanfang Data, OMIM and PubMed, with the search period spanning from database inception to June 2024. Results:① The child was a 6-year-old female presenting with myoclonic seizures accompanied by global developmental delay. ② WES and Sanger sequencing revealed that the child has carried a de novo SETD1B gene variant, namely, c. 5582G>A (p.Cys1961Tyr). According to the American College of Medical Genetics and Genomics (ACMG) guidelines for sequence variant interpretation, this variant was classified as likely pathogenic (PS2+ PM2_Supporting+ PP2+ PP3). ③ The child was not controlled with effective doses of valproate, levetiracetam, or clonazepam but was successfully managed with low-dose lamotrigine. Follow-up electroencephalography showed normal results, and developmental progress gradually improved. ④ A total of 37 epilepsy cases with SETD1B gene variants were reported across six studies. The predominant seizure types included absence seizures and myoclonic absence seizures, accompanied by delayed language development. The response to pharmacological treatment was generally poor, with no statistically significant difference in incidence between males and females. Conclusion:SETD1B gene variant may induced neurological disorders with drug-resistant epilepsy and severe clinical manifestations. Lamotrigine is effective in controlling the epileptic seizures.

Objective To identify the key factors affecting the risk of medical surges and their coupling relation5 ships,providing strategic support for medical institutions to optimize risk management and emergency governance.Methods 17 influencing factors were determined based on WSR theory,and an expert scoring method was employed to assess the impact strength among the factors.The DEMATEL method was applied to calculate the centrality,cau5 sality,influence,and being influenced degrees of the influencing factors.The ISM method was used to construct a hierarchical structure of the influencing factors related to medical surge risks,thereby revealing the connections and interaction mechanisms among these factors.Results Seven critical influencing factors were identified,including the crisis decision-making capacity and leadership effectiveness of emergency managers,the completeness of the emer5 gency system and dynamic execution capabilities,and the cross-departmental coordination mechanism and com5 mand collaboration efficiency.Deep driving factors and coupling pathways were also revealed.Conclusion The risk of medical surges exhibits multi-factorial coupling cascade effects;attention should be directed towards the construc5 tion of mid-to-deep level mechanisms such as information systems,institutional frameworks,and organizational management,to enhance targeted capabilities and systemic resilience in risk governance.

Objective To explore the coupling mechanism between medical surge response resources and the spread of secondary risks during public health emergencies,as well as the effectiveness of relevant interventions.Methods Based on complex network theory,a dual-layer network model of medical resources and secondary events was constructed.The interactive feedback between medical resource status and secondary event risk,as well as the effects of network structure,were analyzed through MATLAB simulations,REPAST agent-based modeling,and mean-field analysis.Results Simulation and prediction results show that an increase in first-layer resource-deficient nodes significantly raises the activation rate and transmission speed of secondary events,while the clustering and spread of secondary events in the second layer,in turn,intensify resource depletion,creating a negative feedback loop.Mean-field analysis indicates a nonlinear positive correlation between the adequacy of medical resources and the likelihood of secondary events.Network structure analysis reveals that when the average node degree exceeds 8,resource allocation efficiency improves markedly.Conclusion There exists a dynamic coupling and bidirectional feedback relationship between medical resource status and secondary event risks.Enhancing the flexible allocation and responsiveness of medical resources,improving multi-sectoral collaborative monitoring and coordinated regulation,optimizing network connectivity and coordination mechanisms for resource distribution,and establishing dynamic monitoring and tiered early warning systems are key strategies for strengthening the resilience of healthcare systems and effectively containing the spread of secondary events.

Objective To define the conceptual connotation of network dynamic collaboration capacity in medical surge response and construct its theoretical model.Methods A mixed concept analysis method was employed,integrating multidisciplinary literature and collecting empirical evidence through semi-structured expert interviews to extract the concept of network dynamic collaboration capacity in medical surge response.By integrating complex systems,network science,synergetics,and dynamic capability theory,and combining the interview results,the study used the analogy of flood control in hydraulic engineering to develop a"network-dynamic-collaboration"triangular capacity theoretical model.Results It reveals one antecedents(sudden external shocks have led to an abnormal and continuous surge in medical demand),six core attributes(information interconnection accessibility,dynamic resource adaptability,risk perception responsiveness,multi-party collaborative interactivity,service process adaptability elasticity,and learning iterative evolution),and four consequences(mitigation of crowding risk,protection of service continuity,minimization of crisis spillover,and enhancement of system resilience)for the network dynamic collaboration capacity in medical surge response.The theoretical model elucidates the coupling mechanisms among network structural resilience,dynamic regulation processes,and collaborative co-evolution in resisting medical surge.Conclusion The new concept and theoretical model proposed in this study deepen the understanding of medical surge response system mechanisms and offer a theoretical framework and practical guidance for strengthening the full-chain resilience of health emergency systems.

Neurodegenerative diseases(NDs)are a series of disorders characterized by varying degrees of cognitive and mobility impairment,with increasing incidence in recent years.Currently,the treatment of these diseases is mainly based on drug therapy,and there are no effective methods for reversing the course of the diseases.Corni Fructus has the efficacy of tonifying the liver and kidney,and astringency and arresting,which is effective to various types of NDs.This article summarized the pharmacological effects of Corni Fructus,including anti-inflammatory,anti-oxidative stress,regulation of mitochondrial function,modulation of autophagy,inhibition of neuronal apoptosis,and epigenetic modulation,and sorted out the research progress of Corni Fructus and its active components in the treatment of NDs,such as Alzheimer disease,Parkinson disease,multiple sclerosis,and so on,with a view to providing a reference for further research and clinical application of Corni Fructus in NDs.

Objective To investigate the gene expression profile of cervical exfoliated cells from woman treated by artificial cycle,and their potential association with endometrial receptivity in order to screen specific biomarkers closely related to the receptivity.Methods A total of 19 female patients were enrolled from those preparing for frozen embryo transfer(FET)at the Reproductive Center of First Medical Center of Chinese PLA General Hospital from February 2024 to October 2024.Under the artificial cycle frozen embryo transfer protocol,the endometrial tissues were collected on the 4th day after progesterone administration(P+4)to verify their endometrial receptivity status.Additionally,cervical exfoliated cells were collected on the 4th day(P+4)and the 6th day(P+6)after progesterone administration.RNA sequencing(RNA-Seq)was used to detect gene expression profiles.Differentially expressed genes(DEGs)were identified using the criteria of|log2fold change|＞1 and a false discovery rate(FDR)＜0.05,followed by bioinformatics analysis.The protein-protein interaction(PPI)network of DEGs was constructed using R software(4.4.1)and analyzed with gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)analyses.The candidate genes were identified based on the PPI network using Cytoscape software.Quantitative reverse transcription PCR(RT-qPCR)was employed to validate the target candidate genes both in vitro and in vivo.Results The rsERT confirmed that all 19 women were in state of endometrial receptivity at P+6.RNA-Seq identified 3 458 DEGs in cervical exfoliated cells between P+4 and P+6.The up-regulated DEGs were mainly enriched in the pathways associated with immune response and cell differentiation,and the down-regulated ones were mainly enriched in the pathways associated with lipid metabolism and cell proliferation.Using maximal clique Centrality(MCC)algorithm in the PPI network,the top 20 genes were selected.Among them,6 genes,such as IFIT2,OASL,MX1,RSAD2,IFIT1 and IFIT3,tied for the first place,and the 6 genes all belong to interferon-stimulated genes(ISGs).qRT-PCR indicated that the above 6 genes showed significantly higher expression levels in the cervical exfoliated cells at the P+4 stage than the cells at the P+6 stage(P＜0.05).Conclusion There are changes in the expression levels of the genes related to immunity and cytoskeleton remodeling in cervical exfoliated cells during the endometrial receptivity phase.The decrease in the expression of ISGs may serve as a potential biomarker for endometrial receptivity.

Objective To investigate the mediating role of anxiety and depression in social sup-port and burnout among primary caregivers of stroke patients.Methods A convenience sampling method was employed to select 506 primary caregivers of stroke patients as research subjects.The Gen-eral Information Questionnaire,Caregiver Burnout Inventory for Stroke Patients,Multidimensional Scale of Perceived Social Support,and Hospital Anxiety and Depression Scale were used for data col-lection.Results The total scores for caregiver burnout,social support,anxiety,and depression a-mong primarycaregivers of stroke patients were(72.83±14.32),(47.79±7.74),(10.49±3.00),and(10.45±3.06),respectively.Correlation analysis revealed a negative correlation between caregiver burnout and social support(r=-0.245,P＜0.001),and positive correlations with anxiety and depression(r=0.178,0.216,P＜0.001).Anxiety and depression partially media-ted the relationship between social support and caregiver burnout,accounting for 7.9％and 10.7％of the total effect,respectively.Conclusion Social support,anxiety,depression,and burnout are closely interrelated.Social support can directly or indirectly influence the occurrence of burnoutthrough anxiety and depression.Medical staff should pay attention to the anxiety and depression status of primary caregivers of stroke patients and enhance social support levels to reduce the incidence of burnout by alleviating anxiety and depression.

OBJECTIVE: To explore the clinical features and genetic etiology of a child with a SETD1B gene variant causing seizures and language delay. METHODS: A child with a SETD1B gene variant admitted to the Department of Pediatric Neurology at the Third Affiliated Hospital of Zhengzhou University in September 2022 was selected as the study subject. Clinical data of the child were collected, and peripheral blood samples from the child and her parents were obtained. Whole exome sequencing (WES) was performed for genetic testing, and Sanger sequencing was used for familial validation of the candidate variant. Using "SETD1B" and "epilepsy" as the Chinese and English keywords, relevant cases were retrieved from databases including CNKI, Wanfang Data, OMIM and PubMed, with the search period spanning from database inception to June 2024. RESULTS: The child was a 6-year-old female presenting with myoclonic seizures accompanied by global developmental delay. WES and Sanger sequencing revealed that the child has carried a de novo SETD1B gene variant, namely c.5582G>A (p.Cys1961Tyr). According to the American College of Medical Genetics and Genomics (ACMG) guidelines for sequence variant interpretation, this variant was classified as likely pathogenic (PS2+PM2_Supporting+PP2+PP3). The child was not controlled with effective doses of valproate, levetiracetam, or clonazepam but was successfully managed with low-dose lamotrigine. Follow-up electroencephalography showed normal results, and developmental progress gradually improved. A total of 37 epilepsy cases with SETD1B gene variants were reported across six studies. The predominant seizure types included absence seizures and myoclonic absence seizures, accompanied by delayed language development. The response to pharmacological treatment was generally poor, with no significant difference in incidence between males and females. CONCLUSION SETD1B gene variants may cause neurological disorders with drug-resistant epilepsy and severe clinical manifestations. Lamotrigine is effective in controlling the epileptic seizures.
Humans ; Female ; Child ; Epilepsy/genetics* ; Language Development Disorders/genetics* ; Histone-Lysine N-Methyltransferase/genetics* ; Exome Sequencing ; Male

Objective:To investigate the role and mechanism of leucine-rich α-2-glycoprotein 1 (LRG1) in the fibrosis of human pterygium fibroblasts (HPFs).Methods:A total of 30 nasal primary pterygium tissues from patients who underwent pterygium excision surgery and 30 nasal normal conjunctival tissues from patients who underwent strabismus correction surgery were collected from the First Affiliated Hospital of Harbin Medical University between January 2022 and March 2023, serving as the pterygium group and normal control group, respectively.LRG1 protein expression in both groups was detected by immunofluorescence staining.The mRNA and protein levels of LRG1 and transforming growth factor-β1 (TGF-β1) were evaluated by quantitative real-time PCR (qRT-PCR) and Western blot.Primary HPFs were cultured from excised pterygium tissues using tissue block adhesion method, and cell morphology was observed.Vmentin and cytokeratin were identified by immunofluorescence staining.HPFs were divided into recombinant human LRG1 (rhLRG1) group and blank control group treated with or without 10 μg/ml rhLRG1 for 24 hours, respectively, and cell migration was evaluated via scratch assay.Additionally, HPFs were divided into blank control group, LRG1 overexpression group and LRG1 knockdown group.HPFs in LRG1 overexpression group and LRG1 knockdown group were transfected with LRG1 overexpression plasmids and small interfering RNA for 24 hours, respectively.TGF-β1 mRNA level was evaluated by qRT-PCR and expression of TGF-β1, fibronectin (FN), type Ⅲ collagen (COL3), and α-smooth muscle actin (α-SMA) proteins were evaluated by Western blot.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of the First Affiliated Hospital of Harbin Medical University (No.2022IIT026).Written informed consent was obtained from each subject.Results:HPFs were successfully isolated, exhibiting spindle-shaped morphology with whorled arrangement, positive identification for vimentin, and negative immunofluorescence staining for cytokeratin.The migration rate of the rhLRG1 group was (83.01±2.56)%, significantly higher than (50.32±4.97)% of the blank control group ( t=9.59, P<0.001).Immunofluorescence staining results showed that compared with normal conjunctival tissue, LRG1 protein was significantly higher expressed in pterygium tissue and was widely distributed in fibrous connective tissue and epithelial layer.Both mRNA and protein levels of LRG1 and TGF-β1 were significantly higher in the pterygium group than in the normal control group (mRNA: t=10.18, 6.15, both P<0.05.protein: t=6.83, 8.79, both P<0.05).In the LRG1 overexpression group, mRNA level of TGF-β1, and protein levels of FN, COL3 and α-SMA were significantly increased compared with the blank control and LRG1 knockdown groups (all P<0.05). Conclusions:LRG1 promotes fibrosis and enhances the migration ability in HPFs, and its mechanism may be associated with the upregulation of the TGF-β1 signaling pathway.