Fusarium head blight (FHB), caused by Fusarium graminearum, not only leads to severe yield losses but also poses a threat to food safety due to the mycotoxins produced by the pathogen. Since this disease is preventable but not curable, the current control mainly relies on chemical fungicides, the long-term use of which may lead to pathogen resistance and environmental pollution. To develop green control methods, we screened 13 biocontrol strains from the rhizosphere soil of wheat, among which strain No. 12 (identified as Pythium aphanidermatum) showed significant antifungal effects. In the plate confrontation test, this strain reduced the colony diameter of the pathogen by 69.2% (1.47 mm vs. 4.78 mm in the control group), with an inhibition rate of 77% (P < 0.01). Microscopic observation revealed obvious deformations in the pathogen hyphae, suggesting a lysing effect. The coleoptile experiment further confirmed that the pre-treatment with this strain reduced the incidence rate to 0. These findings provide new candidate strains for the biocontrol of FHB and offer a scientific basis for reducing the use of chemical fungicides and promoting sustainable agricultural development.
Triticum/growth & development* ; Fusarium/growth & development* ; Plant Diseases/prevention & control* ; Soil Microbiology ; Pest Control, Biological/methods* ; Pythium/physiology* ; Biological Control Agents ; Rhizosphere ; Fungicides, Industrial

Objective:To investigate the incidence of hypomineralized second primary molars (HSPM) and deciduous teeth caries in school-aged children of Kaifeng City, and to discuss the association between HSPM and deciduous teeth caries, providing scientific guidance for clinical prevention and treatment.Methods:A cross-sectional study was carried out on first-grade children aged 6-7 years in five primary schools chosen from the eastern, western, southern, northern, and central areas of Kaifeng City by cluster random sampling method. The European Academy of Pediatric Dentistry criteria was used for scoring HSPM. The International Caries Detection and Assessment System (ICDAS-Ⅱ) was used to evaluate caries status.Results:This cross-sectional study was with a sample of 913 children. The prevalence of HSPM was 8.76% (80/913), with 39 boys and 41 girls, the most common type of which was atypical caries [35.00% (28/80)]. Regarding the distribution of HSPM, the incidence in maxilla [6.13% (56/913)] showed no statistically significant difference with that in the mandible [5.70% (52/913)] (χ2=0.16, P=0.692). In terms of severity, 56 cases were severe and 24 cases were mild. The association between HSPM and deciduous teeth caries was analyzed. The results showed that 56 had caries on their second primary molars among the 80 HSPM children. Children with HSPM had an increased risk of second deciduous molar decay compared to non-HSPM children ( OR=1.94, 95 %CI: 1.18-3.19, P<0.05); meanwhile, the deciduous teeth of HSPM children were more prone to suffer caries than those of non-HSPM children ( OR=2.33, 95 %CI: 1.26-4.29, P<0.05). Conclusions:The HSPM prevalence in school-aged children of Kaifeng City was 8.76%. Child with HSPM was more likely to have deciduous teeth caries than non-HSPM child. Special attention should be paid to children with HSPM after the eruption of affected molars.

The ability to localize sound sources rapidly allows human beings to efficiently understand the surrounding environment. Previous studies have suggested that there is an auditory "where" pathway in the cortex for processing sound locations. The neural activation in regions along this pathway encodes sound locations by opponent hemifield coding, in which each unilateral region is activated by sounds coming from the contralateral hemifield. However, it is still unclear how these regions interact with each other to form a unified representation of the auditory space. In the present study, we investigated whether functional connectivity in the auditory "where" pathway encoded sound locations during passive listening. Participants underwent functional magnetic resonance imaging while passively listening to sounds from five distinct horizontal locations (-90°, -45°, 0°, 45°, 90°). We were able to decode sound locations from the functional connectivity patterns of the "where" pathway. Furthermore, we found that such neural representation of sound locations was primarily based on the coding of sound lateralization angles to the frontal midline. In addition, whole-brain analysis indicated that functional connectivity between occipital regions and the primary auditory cortex also encoded sound locations by lateralization angles. Overall, our results reveal a lateralization-angle-based representation of sound locations encoded by functional connectivity patterns, which could add on the activation-based opponent hemifield coding to provide a more precise representation of the auditory space.
Humans ; Sound Localization/physiology* ; Male ; Female ; Magnetic Resonance Imaging ; Young Adult ; Functional Laterality/physiology* ; Adult ; Brain Mapping ; Auditory Cortex/physiology* ; Acoustic Stimulation ; Auditory Pathways/physiology* ; Brain/physiology*

Objective To explore an epileptic seizure prediction method for patients with refractory epilepsy to improve the classification and prediction efficiency of epileptic electroencephalogram(EEG)signals.Methods The study used the long-term EEG database of patients with intractable epilepsy from Children's Hospital Boston(CHB-MIT).The EEG features of epileptic seizures and preictal periods were extracted from multiple dimensions such as EEG synchronization,complexity,and energy distribution,and then these features were input into the artificial neural network model for classification and identification,thereby achieving accurate prediction of epilepsy.The performance were optimized by adjusting the model parameters,and a comparative evaluation was conducted with existing deep learning models.Results The model proposed in this study showed an accuracy rate of 99.29％,a precision of 91.44％,a sensitivity of 96.46％,and a specificity of 99.46％.Compared with current epilepsy seizure prediction studies based on machine learning or deep learning frameworks,the model in this study improved its classification prediction capabilities and demonstrated higher prediction accuracy.Conclusion An effective prediction of epileptic seizures was achieved by manually extracting epileptic EEG features and constructing an artificial neural network model.The model demonstrated high accuracy and stability,providing reliable technique to support clinical treatment and prevention of epilepsy.

Objective:To investigate the molecular markers involved in death related to acute myocardial infarction (AMI) and provide new targets for early intervention.Methods:Consecutive patients who hospitalized in department of cardiology, Xuanwu Hospital, Capital Medical University from January 2017 to December 2021 and diagnosed with AMI were enrolled. The clinical factors and markers associated with in-hospital death after AMI were analyzed. In addition, patients diagnosed with AMI hospitalized in department of cardiology, Xuanwu Hospital, Capital Medical University from September 2022 to April 2023 were enrolled. We prospectively analyzed the plasma protein of death related to AMI via Olink Precision Proteomics based on proximity extension assay (PEA) technology.Results:In the retrospective study, 2 325 patients with AMI were analyzed, including 75 patients in the in-hospital death group and 2 250 subjects in the survival group. The overall mortality rate during hospitalization was 3.23% (75/2325). The patients in the death group were older: 72 (64, 80) years vs. 63 (55, 71) years. And Interleukin-6 (IL-6), hypersensitive C-reactive protein (Hs-CRP), leukocyte counts and neutrophil counts were markedly higher in the death group than those in the survival group: 69.0 (26.7, 136.6) ng/L vs. 18.2 (9.4, 36.5) ng/L, 45.7 (28.7, 50.5) mg/L vs. 5.5 (2.0, 17.2) mg/L, 12.0 (9.8, 14.1) ×10 9/L vs. 8.9 (7.2, 11.2) × 10 9/L, 9.8 (7.8, 12.1) ×10 9/L vs. 6.5(4.7, 8.8) ×10 9/L ( P<0.01). In this prospective study, 86 patients with AMI were analyzed. 61 proteins including Insulin-like growth factor-binding protein 1, 2 (IGFBP-1, IGFBP-2), Chitotriosidase-1 (CHIT1), Complement component C1q receptor (CD93) were independently associated with in-hospital death related to AMI ( P<0.05). The differential proteins were mainly enriched in inflammatory response, cell adhesion, cytokine signaling pathway and apoptosis. Moreover, 22 proteins including Urokinase plasminogen activator surface receptor (U-PAR), Trefoil factor 3 (TFF3), Perlecan (PLC), Growth differentiation factor 15 (GDF-15), Junctional adhesion molecule A (JAM-A) were plotted according to a logistic regression model, and the area under the curve (AUC) was more than 0.9, showing the high accuracy in predicting in-hospital death after AMI. Conclusions:Molecular markers of the inflammatory response, cell adhesion, cell growth and apoptosis might be involved in death related to AMI, which provides new targets for early intervention.

Objective To assess the efficacy of combining specialized scenarios with workshop-based teaching in training newly recruited nurses for occupational exposure.Methods This study was conducted with 200 nurses recruited between January 2020 and December 2021 as the control group and 200 nurses from January 2022 to December 2023 as the intervention group.The control group and the intervention group received routine training and workshop-based training,respectively.The efficacy was assessed through theoretical exams,skills assessments,occupational exposure incidence,and training satisfaction,measured u-sing the Simulation Design Scale(SDS).Results The intervention group demonstrated higher scores on theoretical knowledge and operational skills assessments compared to the control group.The occupational exposure were lower in the intervention group.Additionally,the intervention group scored higher on the SDS and reported greater satisfaction with the training(P＜0.05).Conclusion The teaching method integrated with specialized scenarios and workshop-based teaching effectively enhances the theoretical knowledge and operational skills related to occupational exposure among newly recruited nurses.It reduces the inci-dence of occupational exposure,such as needlestick injuries,and improves training outcomes and nurse satisfaction,making it a valuable approach for clinical application.

Objective:To construct and validate a three-level early warning model of moderate to severe ovarian hyperstimulation syndrome (OHSS) in assisted reproductive technology.Methods:A case-control study was conducted. Totally 10 181 infertility patients who underwent in vitro fertilization treatment in Reproductive Medicine Center, Women and Children's Medical Center Affiliated to Guangzhou Medical University from April 2013 to April 2023 were retrospectively analyzed and divided into modeling group (8 145 cases) and validation group (2 036 cases) by random number table method. The clinical data of the two groups were analyzed, and the risk factors affecting the occurrence of moderate and severe OHSS after oocytes retrieval were screened by multi-factor logistic regression analysis. The early warning model was established and the column diagram was drawn at three nodes which were before ovarian stimulation, before trigger and 3 d after oocyte retrieval. The receiver operating characteristic (ROC) curve and calibration curve were used to verify the models. Results:The antral follicle count (AFC, OR=1.045, 95% CI: 1.020-1.071, P<0.001), anti-Müllerian hormone (AMH)>3.36 μg/L ( OR=7.135, 95% CI: 2.084-24.432, P=0.002) and number of cycles ( OR=0.149, 95% CI: 0.022-1.026, P=0.049) were included in the pre-stimulation prediction model. AFC ( OR=1.046, 95% CI: 1.018-1.074, P=0.001), AMH>3.36 μg/L ( OR=5.780, 95% CI: 1.661-20.116, P=0.006), gonadotropin releasing hormone-agonist protocols ( OR=3.895, 95% CI=1.913-7.931, P<0.001), estrogen peak≥18 350 pmol/L ( OR=2.258, 95% CI: 1.092-4.666, P=0.028), the number of follicles with a diameter of ≥10 mm>20 ( OR=2.377, 95% CI: 1.092-5.172, P=0.029) were included in the pre-trigger prediction model. AMH>3.36 μg/L ( OR=8.374, 95% CI: 2.417-29.019, P=0.001), estrogen peak≥18 350 pmol/L ( OR=3.947, 95% CI: 1.533-10.167, P=0.004), total number of oocytes retrived ( OR=1.042, 95% CI: 0.996-1.090, P=0.025), abdominal distension ( OR=60.181, 95% CI: 22.515-160.854, P<0.001), fresh transplantation ( OR=21.766, 95% CI: 7.119-66.544, P<0.001), human chorionic gonadotropin trigger ( OR=17.752, 95% CI: 3.993-78.924, P<0.001) were included in the prediction model of 3 d after oocyte retrieval. The areas under ROC curves of the three models were 0.830 (95% CI: 0.782-0.878), 0.859 (95% CI: 0.812-0.906) and 0.948 (95% CI: 0.919-0.977), respectively. The areas under ROC curves of the validation groups of the three models were 0.922 (95% CI: 0.880-0.965), 0.936 (95% CI: 0.886-0.986), and 0.971 (95% CI: 0.938-0.999), respectively. The calibration curve indicated that the early-warning evaluation model has good stability. Conclusion:The three-level early warning model of moderate and severe OHSS has good differentiation, reliable predictability and clinical practicability, which is conducive to the dynamic and continuous assessment of the risk of moderate and severe OHSS, adjustment of treatment plan at any time, and timely adoption of effective preventive measures.

Epicardial adipose tissue(EAT)is a type of fat tissue that is closely adjacent to the coronary arteries and myocardium,and it caused physiological and pathological changes to the body through the secretion of autocrine and paracrine active factors.EAT is regarded as a diagnostic marker and a potential therapeutic target for cardiovascular diseases,and it is of great significance to segment and quantify EAT.This article introduced the evolution of the EAT segmentation and quantification methods from the aspects of traditional imaging,atlas,and artificial intelligence.Furthermore,it reviewed the research progresses on automatically quantified EAT indices in the diagnosis and treatment of cardiovascular diseases.

BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome