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.

Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.

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.

Currently, the drug delivery system (DDS) based on nanomaterials has become a hot interdisciplinary research topic. One of the core issues is drug loading and controlled release, in which the key lever is carriers. Vaterite, as an inorganic porous nano-material, is one metastable structure of calcium carbonate, full of micro or nano porous. Recently, vaterite has attracted more and more attention, due to its significant advantages, such as rich resources, easy preparations, low cost, simple loading procedures, good biocompatibility and many other good points. Vaterite, gained from suitable preparation strategies, can not only possess the good drug carrying performance, like high loading capacity and stable loading efficiency, but also improve the drug release ability, showing the better drug delivery effects, such as targeting release, pH sensitive release, photothermal controlled release, magnetic assistant release, optothermal controlled release. At the same time, the vaterite carriers, with good safety itself, can protect proteins, enzymes, or other drugs from degradation or inactivation, help imaging or visualization with loading fluorescent drugs in vitro and in vivo, and play synergistic effects with other therapy approaches, like photodynamic therapy, sonodynamic therapy, and thermochemotherapy. Latterly, some renewed reports in drug loading and controlled release have led to their widespread applications in diverse fields, from cell level to clinical studies. This review introduces the basic characteristics of vaterite and briefly summarizes its research history, followed by synthesis strategies. We subsequently highlight recent developments in drug loading and controlled release, with an emphasis on the advantages, quantity capacity, and comparations. Furthermore, new opportunities for using vaterite in cell level and animal level are detailed. Finally, the possible problems and development trends are discussed.

With the widespread use of antibiotics, drug-resistant bacterial infections have become a significant threat to human health. Finding new antibacterial strategies that can effectively control drug-resistant bacterial infections has become an urgent task. Unlike small molecule drugs that target bacterial proteins, antisense oligonucleotide (ASO) can target genes related to bacterial resistance, pathogenesis, growth, reproduction and biofilm formation. By regulating the expression of these genes, ASO can inhibit or kill bacteria, providing a novel approach for the development of antibacterial drugs. To overcome the challenge of delivering antisense oligonucleotide into bacterial cells, various drug delivery systems have been applied in this field, including cell-penetrating peptides, lipid nanoparticles and inorganic nanoparticles, which have injected new momentum into the development of antisense oligonucleotide in the antibacterial realm. This review summarizes the current development of small nucleic acid drugs, the antibacterial mechanisms, targets, sequences and delivery vectors of antisense oligonucleotide, providing a reference for the research and development of antisense oligonucleotide in the treatment of bacterial infections.

Objective To preliminarily evaluate the safety and effectiveness of a novel non-implantable atrial shunt device based on radiofrequency ablation for the treatment of chronic heart failure(CHF).Methods This was a prospective single-arm study.From January 2023 to December 2023,five eligible CHF patients were consecutively enrolled at Beijing Anzhen Hospital,Capital Medical University,and underwent inter-atrial shunt using Shenzhen Betterway atrial shunt device.Pulmonary capillary wedge pressure(PCWP),right atrial pressure(RAP),pulmonary artery pressure(PAP),total pulmonary resistance(TPR),pulmonary vascular resistance(PVR),and pulmonary/systemic blood flow ratio(Qp/Qs)were measured using right heart catheterization before and immediately after procedure.Patients were followed up for 90 days,and echocardiography,right heart catheterization,and cardiac functional indicators were evaluated.The primary endpoint was procedural success.Secondary endpoints included clinical success,echocardiographic changes,6-minute walk distance(6MWD)changes,New York Heart Association(NYHA)class changes,Kansas city cardiomyopathy questionnaire(KCCQ)score changes,and amino-terminal probrain natriuretic peptide(NT-proBNP)level changes at 90 days.The safety endpoint was major cardiovascular and cerebrovascular adverse events and device-related adverse events.Results All five patients successfully achieved left-to-right atrial shunt.Compared with baseline,PCWP decreased significantly immediately after procedure in all five patients,with a procedural success rate of 100％.There were no significant changes in RAP,PAP,TPR,and PVR before and immediately after procedure.After 90 days follow-up,four patients had persistent left-to-right atrial shunt,and PCWP was significantly lower than baseline,with a clinical success rate of 80％.Compared with baseline,LVEF increased,left ventricular end-diastolic diameter decreased,and tricuspid annular plane systolic excursion and right ventricular fractional area change were not impaired in all five patients at 90 days.KCCQ scores and 6MWT improved,NT-proBNP decreased,and NYHA class did not change significantly.There were no deaths,rehospitalizations for heart failure,stroke-related adverse events,or device-related adverse events during the follow-up.Conclusions The novel non-implantable atrial shunt catheter can safely and effectively improve hemodynamic,echocardiographic,and cardiac functional indicators in patients with heart failure.However,larger-scale clinical studies are still needed to validate its long-term clinical effectiveness.

In order to understand the characteristics of avian leukosis virus(ALV)infection and the polymorphisms of receptor genes Tva,Tvb and NHE1 sequences in different Qingyuan Ma chick-en breeding farms,the isolation and identification of exogenous ALV virus,receptor gene amplifi-cation and sequencing analysis were carried out in five Qingyuan Ma chicken breeding farms.The results of virus isolation and subtype identification showed that the positive rate of exogenous ALV virus isolation in farms A,B and C was less than 5％,among which there was ALV-J infection alone in farm A,mixed infection with ALV-J and ALV-K in farm B,ALV-K infection a-lone in farm C,and no exogenous ALV infection was detected in farm D and E.Polymorphism anal-ysis of recipient genes showed that there were different frequencies of Tvar3,Tvar4 and Tvbr3 re-sistance alleles in A-E farms,and the distribution frequency of Tvar3 was 0.2-0.6,the distribution frequency of Tvar4 was 0.3-0.7,and the distribution frequency of Tvbr3 was 0.1-0.7.In addition,there were Tvar5 resistance alleles in both B and D farms,with a distribution frequency of 0.2.A to-tal of 18 SNP mutations occurred in the NHE1 receptor gene sequence,and further analysis showed that positions 1 279,1 361,1 369,1 406,1 442,and 1 912 were non-synonymous mutations,which could cause changes in amino acids.The study suggested that there were differences in the exogenous ALV and its subtypes among the five Qingyuan Ma chicken breeders,and each farm should have a more targeted and unique purification strategy.The distribution of Tva and Tvb re-sistance alleles at different frequencies,along with the occurrence of 6 non-synonymous mutations in the NHE1 gene,indicate that Qingyuan Ma chicken have the potential of genetic resistance breeding.

Long non-coding RNA(lncRNA)can affect the occurrence and development of diseases by directly or indirectly regulating target genes and their signal pathways.With the deepening of research,more and more lncRNA have been found to be involved in regulating the occurrence,development and drug resistance of multiple myeloma(MM).Therefore,it is necessary to study the role and molecular mechanism of abnormal expression of lncRNA in MM,which can provide theoretical basis for clinical diagnosis and targeted therapy.

Objective:To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms.Methods:The patients with septic shock meeting the Sepsis-3 criteria were selected from Medical Information Mart for Intensive Care-Ⅳ v2.0 (MIMIC-Ⅳ v2.0). According to the principle of random allocation, 70% of these patients were used as the training set, and 30% as the validation set. Relevant predictive variables were extracted from three aspects: demographic characteristics and basic vital signs, serum indicators within 24 hours of intensive care unit (ICU) admission and complications possibly affecting indicators, functional scoring and advanced life support. The predictive efficacy of models constructed using five mainstream machine learning algorithms including decision tree classification and regression tree (CART), random forest (RF), support vector machine (SVM), linear regression (LR), and super learner [SL; combined CART, RF and extreme gradient boosting (XGBoost)] for 28-day death in patients with septic shock was compared, and the best algorithm model was selected. The optimal predictive variables were determined by intersecting the results from LASSO regression, RF, and XGBoost algorithms, and a predictive model was constructed. The predictive efficacy of the model was validated by drawing receiver operator characteristic curve (ROC curve), the accuracy of the model was assessed using calibration curves, and the practicality of the model was verified through decision curve analysis (DCA).Results:A total of 3?295 patients with septic shock were included, with 2?164 surviving and 1?131 dying within 28 days, resulting in a mortality of 34.32%. Of these, 2?307 were in the training set (with 792 deaths within 28 days, a mortality of 34.33%), and 988 in the validation set (with 339 deaths within 28 days, a mortality of 34.31%). Five machine learning models were established based on the training set data. After including variables at three aspects, the area under the ROC curve (AUC) of RF, SVM, and LR machine learning algorithm models for predicting 28-day death in septic shock patients in the validation set was 0.823 [95% confidence interval (95% CI) was 0.795-0.849], 0.823 (95% CI was 0.796-0.849), and 0.810 (95% CI was 0.782-0.838), respectively, which were higher than that of the CART algorithm model (AUC = 0.750, 95% CI was 0.717-0.782) and SL algorithm model (AUC = 0.756, 95% CI was 0.724-0.789). Thus above three algorithm models were determined to be the best algorithm models. After integrating variables from three aspects, 16 optimal predictive variables were identified through intersection by LASSO regression, RF, and XGBoost algorithms, including the highest pH value, the highest albumin (Alb), the highest body temperature, the lowest lactic acid (Lac), the highest Lac, the highest serum creatinine (SCr), the highest Ca 2+, the lowest hemoglobin (Hb), the lowest white blood cell count (WBC), age, simplified acute physiology score Ⅲ (SAPSⅢ), the highest WBC, acute physiology score Ⅲ (APSⅢ), the lowest Na +, body mass index (BMI), and the shortest activated partial thromboplastin time (APTT) within 24 hours of ICU admission. ROC curve analysis showed that the Logistic regression model constructed with above 16 optimal predictive variables was the best predictive model, with an AUC of 0.806 (95% CI was 0.778-0.835) in the validation set. The calibration curve and DCA curve showed that this model had high accuracy and the highest net benefit could reach 0.3, which was significantly outperforming traditional models based on single functional score [APSⅢ score, SAPSⅢ score, and sequential organ failure assessment (SOFA) score] with AUC (95% CI) of 0.746 (0.715-0.778), 0.765 (0.734-0.796), and 0.625 (0.589-0.661), respectively. Conclusions:The Logistic regression model, constructed using 16 optimal predictive variables including pH value, Alb, body temperature, Lac, SCr, Ca 2+, Hb, WBC, SAPSⅢ score, APSⅢ score, Na +, BMI, and APTT, is identified as the best predictive model for the 28-day death risk in patients with septic shock. Its performance is stable, with high discriminative ability and accuracy.

Objective:To study the effect of a modified behavioral treatment(MBT)on functional anejaculation and analyze the factors influencing the therapeutic efficacy.Methods:We enrolled in this study 59 men aged 24-45 years visiting the Andrology Clinic of Shanghai First Maternity and Infant Hospital from August 2019 to May 2021 and complaining of aejaculation in sexual inter-course but normally ejaculating during masturbation.Thirty-nine of the patients underwent conventional behavioral treatment(the CBT group)and the other 20 received MBT,namely,changing the masturbation method combined with audiovisual stimulation during sexual intercourse(the MBT group).We compared the therapeutic effects between the two groups of patients,and analyzed the correlation of the outcomes of MBT with age,abstinence duration,use of audiovisual stimulation,change of the sexual position,mean bilateral testis volume and sex hormone levels.Results:After treatment,22(37.29％)of the patients achieved successful ejaculation at least once in sexual intercourse,11(55.00％)in the MBT group,and the other 11(28.21)in the CBT group,with a significantly higher effec-tiveness rate in the former than in the latter(P＜0.05).The effectiveness rate was significantly correlated to the method of standing-position masturbation plus sexual intercourse and reduction in the frequency of masturbation among various strategies of behavioral treat-ment(P＜0.05).Conclusion:MBT has a certain effect on functional anejaculation,and targeting the previous events of the patient is the key to the therapeutic efficacy.Further exploration of more effective strategies of behavioral treatment will become the trend of de-velopment in the management of functional anejaculation.