Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

Lactylation (Kla), a protein post-translational modification characterized by the covalent conjugation of lactyl groups to lysine residues in proteins, is widely present in living organisms. Since its discovery in 2019, it has attracted much attention for its role in regulating major pathological processes such as tumorigenesis, neurodegenerative diseases, and cardiovascular diseases. By mediating core biological processes such as signal transduction, epigenetic regulation, and metabolic homeostasis, lactylation contributes to disease progression. However, the lactylation donor lactyl-CoA has a low intracellular concentration, and the specific enzyme catalyzing lactylation is not yet clear, which has become an urgent issue in lactate research. A groundbreaking study in 2024 found that alanyl-transfer t-RNA synthetase 1/2 (AARS1/2), members of the aminoacyl-tRNA synthetase (aaRS) family, can act as protein lysine lactate transferases, modifying histones and metabolic enzymes directly with lactate as a substrate, without relying on the classical substrate lactyl-CoA, promoting a new stage in lactate research. Although exercise significantly increases lactate levels in the body and can induce changes in lactylation in multiple tissues and cells, the regulation of lactylation by exercise is not entirely consistent with lactate levels. Research has found that high-intensity exercise can induce upregulation of lactate at 37 lysine sites in 25 proteins of adipose tissue, while leading to downregulation of lactate at 27 lysine sites in 22 proteins. The level of lactate is not the only factor regulating lactylation through exercise. We speculate that the lactate transferase AARS1/2 play an important role in the process of lactylation regulated by exercise, and AARS1/2 should also be regulated by exercise. This review introduces the molecular biology characteristics, subcellular localization, and multifaceted biological functions of AARS, including its canonical roles in alanylation and editing, as well as its newly identified lactate transferase activity. We detail the discovery of AARS1/2 as lactylation catalysts and the specific process of them as lactate transferases catalyzing protein lactylation. Furthermore, we discuss the pathophysiological significance of AARS in tumorigenesis, immune dysregulation, and neuropathy, with a focus on exploring the expression regulation and possible mechanisms of AARS through exercise. The expression of AARS in skeletal muscle regulated by exercise is related to exercise time and muscle fiber type; the skeletal muscle AARS2 upregulated by long-term and high-intensity exercise catalyzes the lactylation of key metabolic enzymes such as pyruvate dehydrogenase E1 alpha subunit (PDHA1) and carnitine palmitoyltransferase 2 (CPT2), reducing exercise capacity and providing exercise protection; physiological hypoxia caused by exercise significantly reduces the ubiquitination degradation of AARS2 by inhibiting its hydroxylation, thereby maintaining high levels of AARS2 protein and exerting lactate transferase function; exercise induced lactate production can promote the translocation of AARS1 cytoplasm to the nucleus, exert lactate transferase function upon nuclear entry, regulate histone lactylation, and participate in gene expression regulation; exercise induced lactate production promotes direct interactions between AARS and star molecules such as p53 and cGAS, and is widely involved in the occurrence and development of tumors and immune diseases. Elucidating the regulatory mechanism of exercise on AARS can provide new ideas for improving metabolic diseases and promote health through exercise.

Most patients with differentiated thyroid cancer have a good prognosis after radioiodine-131 therapy,but a small number of patients are insensitive to radioiodine-131 therapy and even continue to develop disease.At present,some targeted drugs can improve progression-free survival in patients with radioactive iodine-refractory differentiated thyroid cancer(RAIR-DTC),such as sorafenib and levatinib,have been approved for the treatment of RAIR-DTC.However,due to the presence of primary and acquired drug resistance,drug efficacy in these patients is unsatisfactory.This review introduces the acquired drug resistance mechanism of sorafenib in the regulation of mitogen-activated protein kinase(MAPK)and phosphatidylinositol-3-kinase(PI3K)pathways and proposes related treatment strategies,in order to provide a reference for similar drug resistance mechanism of sorafenib and effective treatment of RAIR-DTC.

Objective To investigate the effect of auditory brainstem response(ABR)in clinical detection and severity assessment of autism spectrum disorder(ASD)in children with normal hearing.Methods ① A total of 55 autistic children(110 ears)with normal hearing and 55 children(110 ears)with typical development(TD)who did not differ in sex composition ratio and average monthly age were divided into four sub-groups according to age:≤24 months group(22 ears),25～36 months group(40 ears),37～48 months group(28 ears)and＞48 months group(20 ears).The ABR latencies and interpeak latencies were compared between ASD children and age-matched TD children.② ASD children were graded by severity according to the Diagnostic and Statistical Manual of Mental Dis-orders(DSM-V),and the correlations between the ABR latencies and interpeak latencies in autistic children with normal hearing and the severity grading were studied.Results ① No statistically significant differences in ABR wave latencies and interpeak latencies were found in autistic children with normal hearing under 24 months of age compared to age-matched TD children(P＞0.05).② Compared with children with TD,autistic children with nor-mal hearing at 25～36 months of age had significantly longer wave Ⅲ latencies and the interpeak latencies of Ⅰ-Ⅲ andⅠ-Ⅴ;the significantly longer wave Ⅲ,Ⅴ latencies,the interpeak latencies of Ⅰ-Ⅲ,Ⅲ-Ⅴ and Ⅰ-Ⅴ in autistic chil-dren with normal hearing at 37～48 months of age.Autistic children with normal hearing in the＞48 months group had significantly longer wave Ⅴ latencies and interpeak latencies of Ⅲ-Ⅴ,Ⅰ-Ⅴ than age-matched TD children(P＜0.05).③ The higher the ASD severity grading the longer the wave Ⅲ and V latencies and the longer interpeak latencies of Ⅰ-Ⅲ,Ⅲ-Ⅴ,and Ⅰ-Ⅴ(P＜0.05).Conclusion Differences in the level of auditory brainstem pathway de-velopment emerged at 25 months of age,and autistic children with normal hearing had significantly lower levels of auditory brainstem development than age-matched TD children.There were correlations between the latencies and interpeak latencies of ABR in autistic children with normal hearing and the severity grading.

Objective:To analyze the release and distribution characteristics of Chinese medical insurance payment policies,and to provide reference for future policy formulation in the field of medical insurance payment construction.Methods: Content analysis method was used to construct a two-dimensional framework of "policy goals-policy tools",and text analysis was carried out according to 63 policy documents.Results: A total of 493 policy codes were completed.From the perspective of policy goals,the policy objectives of Chinese medical insurance payment mainly focused on three aspects: improving the payment level,optimizing the medical insurance environment,and standardizing the supervision regulations.From the perspective of policy tools,environmental policy tools are the most used policy tools,followed by supply and demand tools.There is a shortage of financial input and talent training in all policy objectives,so more attention should be paid to demonstration and Category of payment.Conclusion: Our country puts forth effort to build a perfect medical insurance payment system,but should further strengthen policy content supplement,optimize the structure of policy tools,and give full play to the payment ability of medical insurance when pulling the demand of medical insurance payment and driving the supply of medical insurance payment.

The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.

[Objective] To establish a real-time fluorescence quantitative PCR nucleic acid detection method of human parvovirus B19 and validate the method systematically. [Methods] Specific primers and probes for the highly conserved regions of the three genotypes of B19 virus were designed, and B19 quantitative amplification standard curves were established. The accuracy, precision (repeatability and intermediate precision), linear range, quantification limit, detection limit, specificity, anti cross contamination, genotyping and anti-interference ability of this method were verified. [Results] When the quantitative reference range for B19 virus was 2.0×10¹ to 1.0×10⁸ IU/mL, a double logarithmic regression analysis was performed between the measured values and the theoretical values, and the regression equation R²≥0.98 showed good linear correlation. The quantification limit was 20 IU/mL, with a detection rate of 100%. The detection limit was 10 IU/mL, and the detection rate is 95.23%. Three genotypes of B19 virus samples can be effectively detected. The plasma of seven non B19 pathogens, including hepatitis A virus, hepatitis B virus, hepatitis C virus, human immuno-deficiency virus, human cytomegalovirus, hepatitis E virus and Treponema pallidum, was non reactive and has good species specificity. Simultaneously, in the presence of seven other concurrent pathogens, positive samples with a weak positive concentration of E3 IU/mL could be stably detected, and the B19 nucleic acid testing method was not interfered with. When the hemoglobin concentration was 431 mg/dL, triglycerides (1 269 turbidity) and unconjugated bilirubin concentration was 20 mg/dL, this method was non reactive for all three common plasma interfering substances. In the presence of three common plasma interfering substances, positive samples with a weak positive concentration of E3 IU/mL could be stably detected, and the B19 nucleic acid testing method was not interfered with. The deviation between the detection values of standard substances at two concentration levels of S1 (E5 IU/mL) and S2 (E4 IU/mL) and the target values were≤±0.5 log value. The CV values of positive sample 1 (concentration level E5 IU/mL) and positive sample 2 (concentration level E4 IU/mL) for daily precision confirmation and continuous 5-day intra-day precision confirmation were both≤5%. [Conclusion] This method has strong specificity, high sensitivity, wide linear range, stability, reliability and high accuracy, and can be used for the detection of human parvovirus B19 nucleic acid in plasma.

Objective To investigate the expression of PLCD3 mRNA in the synovium of osteoarthritis(OA)and its relationship with immune cell infiltration.Methods Based on the differentially expressed genes of OA found in the previous study,the expression of phospholipase Cδ3(PLCD3)mRNA was detected by col-lecting synovial samples from OA group and control group.CIBERSORT algorithm was used to analyze the infiltration pattern of immune cells in OA group and control group,and the correlation between PLCD3 and infiltrating immune cells was further analyzed.Results Compared with the control group,the relative expres-sion level of PLCD3 mRNA was significantly increased in synovial samples of OA group(P<0.05).The pro-portions of B cells naive,NK cells activated,M2 macrophages and mast cells activated in synovial tissues of OA group were relatively high(P<0.05).PLCD3 was positively correlated with the proportion of these four immune cells(P<0.05).Conclusion PLCD3 may be a key biomarker for the diagnosis of OA,which may be involved in the pathogenesis of OA by interacting with infiltrating immune cells.

This article summarized Professor GUAN Guo-Hua's clinical experience in treating central serous chorioretinopathy(CSC)in Lingnan area.Based on the theory of"macula due to the spleen dysfunction",and by taking the geographical and climatic characteristics of Lingnan area as well as the body constitutional features of Lingnan residents into account,Professor GUAN Guo-Hua proposed that spleen deficiency leading to damp encumbrance was the fundamental pathogenesis of CSC in Lingnan area,and liver and kidney were gradually affected in the middle and late stages of CSC,which finally resulted into blood stasis and water retention.For the treatment of initial attack of CSC,the focus was on treating the spleen,and Erchen Decoction was adopted as the basic prescription for modified application to strengthen the spleen and drain dampness;for the treatment of CSC in the middle and late stages,the emphasis was on simultaneous treatment of the liver,spleen and kidney as well as blood and water,and Zhujing Pills and Wuling Powder were adopted as the basic prescriptions for nourishing the liver and kidney and for strengthening the spleen,activating blood and promoting urination.The treatment of the spleen is advocated throughout the whole treatment process,and the medication of drugs should be modified based on syndrome differentiation and according to the specific conditions,thus to achieve significant results.