ObjectiveTo explore the role of neuroimaging features monitored by functional near-infrared spectroscopy （fNIRS） in postoperative delirium （POD） in elderly patients undergoing joint replacement during perioperative period， and to provide a basis for early clinical prediction. MethodsA total of 105 elderly patients who underwent joint replacement under general anesthesia were included. The Mini-Mental State Examination （MMSE） scale was used to evaluate the patient's cognition one day before the operation. Before the start of the surgery， fNIRS was used to monitor the changes of cerebral blood oxygen saturation when the patient performed the task state. The 3-minute delirium diagnostic scale （3D-CAM scale） was used to evaluate the occurrence of POD at 24， 48 and 72 h after operation. Brain network analysis was performed and Logistic regression analysis was used to explore the relationship between fNIRS monitoring data and POD in elderly patients undergoing joint replacement surgery during preoperative task state. The receiver operating characteristic curve （ROC curve） was constructed to evaluate the diagnostic efficacy， and the Hosmer-Lemeshow goodness-of-fit test was used to test the goodness of fit of the model. ResultsAmong 105 patients， 100 cases were effectively analyzed， of which 20 cases （20%） had POD. Brain network analysis showed that the r value of functional connectivity correlation coefficient in POD group （0.069±0.118） was lower than that in non-POD group （0.073±0.084）. The low channel connectivity of right primary somatosensory cortex-right primary motor cortex （RS1-RM1） and left anterior pole-right Broca's triangle （LFP-RBA44） was an important factor affecting the occurrence of POD （P < 0.05）. Based on this result， the area under the ROC curve was 0.797 and 0.784， respectively. The results of Hosmer-Lemeshow goodness-of-fit test showed that the model fitted well （all P>0.5）. ConclusionThe neuroimaging features extracted from the cerebral oxygen saturation data monitored by fNIRS are significantly correlated with the risk of POD in elderly patients undergoing joint replacement during perioperative period. Among them， the low connectivity of preoperative RS1-RM1 and LFP-RBA44 brain network channels is an important influencing factor of POD occurrence. Predicting the occurrence of POD based on fNIRS is conducive to the early intervention and risk reduction of perioperative complications， improving medical quality and promoting precision medical practice.

Objective: There were associations between emotional abuse and neglect (EAN) and depression, but few studies had tested potential mechanisms underlying these relationships. We aimed to provide insights on how (the mediation role of neuroticism), and under what conditions (the moderator role of psychological resilience), led to a higher level of depression. Methods: This study was a cross-sectional study that used a random cluster sampling method. We randomly selected 3,993 participants from four junior middle schools in northern city of China. Participants were asked to complete four self-reported questionnaires, including the Childhood Trauma Questionnaire, Children Depression Inventory-Short Form, Chinese Big Five Personality Inventory Brief Version, and Chinese Resilience Scale. Results: The results showed that neuroticism mediated the associations between EAN and depression. In addition, the mediating effect of neuroticism was moderated by psychological resilience (p<0.05). Conclusion EAN and neuroticism could have an adverse impact on depression, and psychological resilience could alleviate these negative effects as a moderator. Our model suggested psychological resilience could be a particularly effective intervention point for victims of EAN.

Objective: There were associations between emotional abuse and neglect (EAN) and depression, but few studies had tested potential mechanisms underlying these relationships. We aimed to provide insights on how (the mediation role of neuroticism), and under what conditions (the moderator role of psychological resilience), led to a higher level of depression. Methods: This study was a cross-sectional study that used a random cluster sampling method. We randomly selected 3,993 participants from four junior middle schools in northern city of China. Participants were asked to complete four self-reported questionnaires, including the Childhood Trauma Questionnaire, Children Depression Inventory-Short Form, Chinese Big Five Personality Inventory Brief Version, and Chinese Resilience Scale. Results: The results showed that neuroticism mediated the associations between EAN and depression. In addition, the mediating effect of neuroticism was moderated by psychological resilience (p<0.05). Conclusion EAN and neuroticism could have an adverse impact on depression, and psychological resilience could alleviate these negative effects as a moderator. Our model suggested psychological resilience could be a particularly effective intervention point for victims of EAN.

Objective: There were associations between emotional abuse and neglect (EAN) and depression, but few studies had tested potential mechanisms underlying these relationships. We aimed to provide insights on how (the mediation role of neuroticism), and under what conditions (the moderator role of psychological resilience), led to a higher level of depression. Methods: This study was a cross-sectional study that used a random cluster sampling method. We randomly selected 3,993 participants from four junior middle schools in northern city of China. Participants were asked to complete four self-reported questionnaires, including the Childhood Trauma Questionnaire, Children Depression Inventory-Short Form, Chinese Big Five Personality Inventory Brief Version, and Chinese Resilience Scale. Results: The results showed that neuroticism mediated the associations between EAN and depression. In addition, the mediating effect of neuroticism was moderated by psychological resilience (p<0.05). Conclusion EAN and neuroticism could have an adverse impact on depression, and psychological resilience could alleviate these negative effects as a moderator. Our model suggested psychological resilience could be a particularly effective intervention point for victims of EAN.

Objective: There were associations between emotional abuse and neglect (EAN) and depression, but few studies had tested potential mechanisms underlying these relationships. We aimed to provide insights on how (the mediation role of neuroticism), and under what conditions (the moderator role of psychological resilience), led to a higher level of depression. Methods: This study was a cross-sectional study that used a random cluster sampling method. We randomly selected 3,993 participants from four junior middle schools in northern city of China. Participants were asked to complete four self-reported questionnaires, including the Childhood Trauma Questionnaire, Children Depression Inventory-Short Form, Chinese Big Five Personality Inventory Brief Version, and Chinese Resilience Scale. Results: The results showed that neuroticism mediated the associations between EAN and depression. In addition, the mediating effect of neuroticism was moderated by psychological resilience (p<0.05). Conclusion EAN and neuroticism could have an adverse impact on depression, and psychological resilience could alleviate these negative effects as a moderator. Our model suggested psychological resilience could be a particularly effective intervention point for victims of EAN.

T cell response plays an important role in anti-viral infection and anti-tumor immunity,and antigen-specific T cell detection is essential for study of T cell response.This article reviews progress of antigen-specific T cell detection technology,including enzyme-linked immunospot(ELISPOT)assay,intracellular cytokine staining(ICS)assay and activation-induced labeling(AIM)assay,which based on detection of cytokine secretion or activation phenotypes of specific T cells after stimulation and reactivation with antigen in vitro.Another class of methods include Tetramer technology based on known epitopes-human leukocyte antigen(HLA)restriction and recently developed single-cell transcriptomes and T-cell antigen receptor(TCR)sequencing technology.Application of the above methods has advanced our understanding of antigen specific T cell response:Strength and duration of the response,subpop-ulation information,epitopes and their associated HLA-restriction,TCR cloning information and transcriptome characteristic.

OBJECTIVE The emergence of evolving variants of Coronavirus disease 2019(COVID-19)has fostered the need for change of newer and adaptive treatments for these infections.During the COVID-19 pandemic and persists,traditional Chinese medicine(TCM)herbs exhibit significant bioactivity and therapeutic effect.This study is aimed to evaluate the efficacy of four TCM preparations on 28-day mortality risk of patients and changes of the laboratory indicators.METHODS The retrospective cohort study included patients with COVID-19 who were admitted to the Jiangsu Province Hospital of Chinese Medicine from December 15,2022 to January 15,2023,and those died within 48 hours of admission or cannot be tracked for outcomes were excluded.The pri-mary outcome was survival status in 28 days(death or survival)starting from the day of admission.The second outcomes were labora-tory indicators,including absolute lymphocyte count,lactate dehydrogenase,creatinine,and blood urea nitrogen.Binary logistic re-gressions were used to estimate the effect of TCM preparations on the primary and secondary outcomes in main analysis.Meanwhile,heterogeneity and robustness of results from main analysis were assessed by subgroup analyses and multiple sensitivity analyses.RESULTS 1 816 eligible patients were included in analysis dataset,including 573 patients received standard care(control group)and 1 243 patients received TCM preparations(hospital preparation group).The 28-day mortality rate of hospital preparation group was lower than that of control group(4.75%vs.14.83%),and the difference was statistically significant(χ2=54.666,P<0.001).The risk of 28-day mortality was 0.535 times lower in the hospital preparation group as compared with the control group(OR=0.46,95%CI:0.305-0.708,P<0.001)showed by multivariable binary logistic regressions.Subgroup analyses showed that taking TCM preparations reduced the 28-day mortality risk.Sensitivity analyses demonstrated that the results of the main analysis for primary outcomes were robust.For secondary outcomes,the risk of abnormal absolute lymphocyte counts at discharge in the hospital prepara-tion group decreased by 0.284 times(OR=0.703,95%CI:0.515-0.961,P=0.027).CONCLUSION Compared with standard of care,taking four hospital preparations including Kanggan Heji,Feining Heji,Qishen Gubiao Keli,and Qianghuo Qushi Qingwen Heji decreased risk of 28-day mortality among hospitalized COVID-19 patients.TCM therapy achieves adequate therapeutic effects in COVID-19.

Objective To analyze the clinical and cardiac magnetic resonance(CMR)characteristics of patients with Fabry disease(FD)and evaluate the application value of CMR in the early diagnosis of cardiac involvement in FD.Methods This retrospective study involved nine patients with FD confirmed by renal biopsy pathology and genetic testing at our hospital between January 2021 and October 2024.Their clinical baseline data,laboratory test reuslts,and CMR images were collected.CMR images were analyzed using CVI42 software to generate functional,morphological,and structural parameters.Results In this study,78％of the patients were male,and a high proportion(67％)had a family history of FD.Electrocardiographic abnormalities were observed in eight patients(89％),while 33％reported acroparesthesia and 22％exhibited cornea verticillata,a characteristic ocular manifestation of FD.Left ventricular hypertrophy was present in four patients,with one case also showing right ventricular hypertrophy.Late gadolinium enhancement(LGE)was positive in one patient,presenting as intermural enhancement.The mean left ventricular ejection fraction(LVEF)was within the normal range.T1 mapping demonstrated that both global and segmental native T1 values in the left ventricular myocardium were below 1 200 ms.Conclusion Multimodal CMR imaging provides crucial imaging evidence for the diagnosis of FD,with native T1 mapping showing significant clinical potential for disease staging.

Objective To explore the application value of deep learning image reconstruction(DLIR)algorithm combined with a large reconstruction matrix in lung nodules screening using low-dose computed tomography(LDCT)of the chest.Methods Patients who underwent LDCT scans were prospectively enrolled.The control group(group A)used the iterative reconstruction(IR)algorithm(Karl)with a reconstruction level of Karl 5,reconstructed images of 512×512(group A1)matrix,and 1 024 × 1 024(group A2)matrix.The experimental group employed DLIR combined with 512×512(group B)matrix and 1 024 × 1 024(group C)matrix for image reconstruction at levels 1-5,which were recorded as groups B1-5 and groups C1-5.The CT values and standard deviation(SD)values of the lung parenchyma and tracheal air were measured,and the signal-to-noise ratio(SNR)was calculated.The overall lung image quality was scored on a Likert 5-point scale,and the subgroup with the best lung image quality was selected.The lung nodule detec-tion rate and clarity were compared with group A1.Results Under the same reconstruction matrix,the CT values of the tracheal air and lung parenchyma in the experimental group showed no significant difference compared to the control group,while the SD values were lower and SNR were higher(P＜0.05).Within groups B and C,as the DLIR level increased,the SD values of the tracheal air and lung paren-chyma gradually decreased,and SNR gradually improved(P＜0.05).Subjective scores for the image quality in groups B and C initially increased and then decreased,with group B3 and group C4 showed the best image quality.No difference was observed in objective eval-uation between the two groups,but the subjective image quality score of group C4 was superior to group B3(P＜0.05).Subjective eval-uation of lung nodule display in group C4 was better than in group A1(P＜0.05).Conclusion DLIR algorithm combined with a large reconstruction matrix is feasible for lung nodules screening in chest LDCT,reducing image noise while improving lung nodules clarity,demonstrating significant clinical value.

Objective: There were associations between emotional abuse and neglect (EAN) and depression, but few studies had tested potential mechanisms underlying these relationships. We aimed to provide insights on how (the mediation role of neuroticism), and under what conditions (the moderator role of psychological resilience), led to a higher level of depression. Methods: This study was a cross-sectional study that used a random cluster sampling method. We randomly selected 3,993 participants from four junior middle schools in northern city of China. Participants were asked to complete four self-reported questionnaires, including the Childhood Trauma Questionnaire, Children Depression Inventory-Short Form, Chinese Big Five Personality Inventory Brief Version, and Chinese Resilience Scale. Results: The results showed that neuroticism mediated the associations between EAN and depression. In addition, the mediating effect of neuroticism was moderated by psychological resilience (p<0.05). Conclusion EAN and neuroticism could have an adverse impact on depression, and psychological resilience could alleviate these negative effects as a moderator. Our model suggested psychological resilience could be a particularly effective intervention point for victims of EAN.