This paper reviews the published articles of recent years on the application of deep learning methods in automatic localization of acupoint, and summarizes it from 3 key links, i.e. the dataset construction, the neural network model design, and the accuracy evaluation of acupoint localization. The significant progress has been obtained in the field of deep learning for acupoint localization, but the scale of acupoint detection needs to be expanded and the precision, the generalization ability, and the real-time performance of the model be advanced. The future research should focus on the support of standardized datasets, and the integration of 3D modeling and multimodal data fusion, so as to increase the accuracy and strengthen the personalization of acupoint localization.
Deep Learning ; Acupuncture Points ; Humans ; Neural Networks, Computer

Antibody humanization is critical to reduce immunogenicity and enhance efficacy in the preclinical phase of the development of therapeutic antibodies originated from animal models.Computational suggestions have long been desired,but available tools focused on immunogenicity calculation of whole antibody sequences and sequence segments,missing the individual residue sites.This study introduces Site-specific Immunogenicity for Therapeutic Antibody(SITA),a novel computational framework that predicts B-cell immunogenicity score for not only the overall antibody,but also individual residues,based on a comprehensive set of amino acid descriptors characterizing physicochemical and spatial features for antibody structures.A transfer-learning-inspired framework was purposely adopted to overcome the scarcity of Antibody-Antibody structural complexes.On an independent testing dataset derived from 13 Antibody-Antibody structural complexes,SITA successfully predicted the epitope sites for Antibody-Antibody structures with a receiver operating characteristic(ROC)-area unver the ROC curve(AUC)of 0.85 and a precision-recall(PR)-AUC of 0.305 at the residue level.Furthermore,the SITA score can significantly distinguish immunogenicity levels of whole human antibodies,therapeutic antibodies and non-human-derived antibodies.More importantly,analysis of an additional 25 thera-peutic antibodies revealed that over 70％of them were detected with decreased immunogenicity after modification compared to their parent variants.Among these,nearly 66％antibodies successfully iden-tified actual modification sites from the top five sites with the highest SITA scores,suggesting the ability of SITA scores for guide the humanization of antibody.Overall,these findings highlight the potential of SITA in optimizing immunogenicity assessments during the process of therapeutic antibody design.

Antibody (Ab) humanization is critical to reduce immunogenicity and enhance efficacy in the preclinical phase of the development of therapeutic Abs originated from animal models. Computational suggestions have long been desired, but available tools focused on immunogenicity calculation of whole Ab sequences and sequence segments, missing the individual residue sites. This study introduces Site-specific Immunogenicity for Therapeutic Antibody (SITA), a novel computational framework that predicts B-cell immunogenicity score for not only the overall antibody, but also individual residues, based on a comprehensive set of amino acid descriptors characterizing physicochemical and spatial features for antibody structures. A transfer-learning-inspired framework was purposely adopted to overcome the scarcity of Ab-Ab structural complexes. On an independent testing dataset derived from 13 Ab-Ab structural complexes, SITA successfully predicted the epitope sites for Ab-Ab structures with a receiver operating characteristic (ROC)-area unver the ROC curve (AUC) of 0.85 and a precision-recall (PR)-AUC of 0.305 at the residue level. Furthermore, the SITA score can significantly distinguish immunogenicity levels of whole human Abs, therapeutic Abs and non-human-derived Abs. More importantly, analysis of an additional 25 therapeutic Abs revealed that over 70% of them were detected with decreased immunogenicity after modification compared to their parent variants. Among these, nearly 66% Abs successfully identified actual modification sites from the top five sites with the highest SITA scores, suggesting the ability of SITA scores for guide the humanization of antibody. Overall, these findings highlight the potential of SITA in optimizing immunogenicity assessments during the process of therapeutic antibody design.

Chimeric antigen receptor gene-modified T(CAR-T)cell therapy represents an immunotherapeutic approach wherein autologous T cells are genetically engineered ex vivo to express specific chimeric antigen receptors(CARs),expanded,and reinfused into patients to specifically recognize and eliminate tumor cells.Despite substantial efficacy in hematological malignancies,CAR-T cell therapy encounters significant barriers in solid tumors.Immune-related adverse events(irAEs),including cytokine release syndrome(CRS),compromise safety profiles,while tumor-associated antigen(TAA)heterogeneity restricts both single-target CAR-T cell applicability and universal CAR-T cell development.Consequently,breakthrough refinements remain essential for clinical translation in solid tumors.This review examines CAR-T cell therapy for solid tumors,critically evaluating safety and universality enhancement strategies through three core approaches:structural CAR design optimization,universal immune receptor retargeting,and antigen universality augmentation.Each approach undergoes systematic analysis of research pathways,advantages,and limitations,with future trajectories delineated.By synthesizing advances in safety and universal design paradigms,the review aims to establish innovative frameworks for CAR-T cell therapeutic development in solid tumor therapeutics.

Objective:To investigate the longitudinal stability of the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and the Activity of Daily Living Scale (ADL).Methods:The longitudinal cognitive assessment results of 68 dementia patients admitted to the Dementia and Leukoencephalopathy Outpatient Clinic, Department of Neurology, Peking Union Medical College Hospital, from January 2021 to January 2024, were retrospectively analyzed, including the total and sub-items scores of the MMSE, MoCA, and ADL. Two different rules were applied to analyze the abnormality rates: rule 1, where the current test result being better than the previous one was considered an abnormality; rule 2, where the current test result being better than the previous average score was considered an abnormality (If a patient had only 2 cognitive assessments, rule 2 was considered the same as rule 1). Two rules were used to analyze the abnormality rates of the scales. The statistical analyses were repeated after excluding patients with possible anxiety and depression status.Results:In assessing the total score stability, MMSE showed the lowest abnormality rates [27.2% (31/114) under rule 1 and 29.8% (34/114) under rule 2], while MoCA had the highest abnormality rates [41.3% (26/63) and 46.0% (29/63), respectively]. The ADL abnormality rates were 27.7% (23/83) and 33.7% (28/83), respectively. Among MoCA sub-items, category cue, multiple choice cue, second memory trial, orientation, and clock showed higher abnormality rates [31.7%(20/63), 30.2%(19/63), 23.8%(15/63), 22.2%(14/63), 22.2%(14/63), respectively]. After excluding population with possible anxiety and depression status, the relative abnormality rates of MMSE and ADL sub-items did not significantly change, while the abnormality rate of orientation in MoCA sub-items decreased relatively.Conclusion:The MMSE and ADL exhibit good stability in long-term monitoring of dementia patients, serving as essential tools for assessing and following up cognitive changes.

Objective:To investigate the longitudinal stability of the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and the Activity of Daily Living Scale (ADL).Methods:The longitudinal cognitive assessment results of 68 dementia patients admitted to the Dementia and Leukoencephalopathy Outpatient Clinic, Department of Neurology, Peking Union Medical College Hospital, from January 2021 to January 2024, were retrospectively analyzed, including the total and sub-items scores of the MMSE, MoCA, and ADL. Two different rules were applied to analyze the abnormality rates: rule 1, where the current test result being better than the previous one was considered an abnormality; rule 2, where the current test result being better than the previous average score was considered an abnormality (If a patient had only 2 cognitive assessments, rule 2 was considered the same as rule 1). Two rules were used to analyze the abnormality rates of the scales. The statistical analyses were repeated after excluding patients with possible anxiety and depression status.Results:In assessing the total score stability, MMSE showed the lowest abnormality rates [27.2% (31/114) under rule 1 and 29.8% (34/114) under rule 2], while MoCA had the highest abnormality rates [41.3% (26/63) and 46.0% (29/63), respectively]. The ADL abnormality rates were 27.7% (23/83) and 33.7% (28/83), respectively. Among MoCA sub-items, category cue, multiple choice cue, second memory trial, orientation, and clock showed higher abnormality rates [31.7%(20/63), 30.2%(19/63), 23.8%(15/63), 22.2%(14/63), 22.2%(14/63), respectively]. After excluding population with possible anxiety and depression status, the relative abnormality rates of MMSE and ADL sub-items did not significantly change, while the abnormality rate of orientation in MoCA sub-items decreased relatively.Conclusion:The MMSE and ADL exhibit good stability in long-term monitoring of dementia patients, serving as essential tools for assessing and following up cognitive changes.

Objective:To explore the impact of parenting style on social anxiety among college students, and examine the mediating effect of core self-evaluation.Methods:From November 2022 to January 2023, a total of 1 126 college students in Harbin were taken as research subjects.Interaction anxiousness scale(IAS), short-egna minnen betraffende upfostran-Chinese(s-EMBU-C) and core self-evaluations scale(CSES) were used for analysis. Data were analyzed using SPSS 26.0 software for correlation analysis and analysis of variance.AMOS 27.0 software was used for mediation effect test.Results:Social anxiety (42.31±8.23) was negatively correlated with positive parenting style (5.44±1.45) ( r=-0.072, P<0.05) and core self-evaluation (32.12±6.01) ( r=-0.350, P<0.01), while positively correlated with negative parenting style (7.40±1.74)( r=0.302, P<0.01). Core self-evaluation was positively correlated with positive parenting style ( r=0.362, P<0.01) and negatively correlated with negative parenting style ( r=-0.346, P<0.01).Parent parenting styles had a significant mean direct effect on social anxiety of college students ( βpositive=0.098, βnegtive=0.222).Mediation analyses indicated that core self-evaluation played a masking role between positive parenting styles and social anxiety, with an absolute value of 90.82% for the ratio of indirect(-0.089) to direct effects(0.098).Core self-evaluation had partial mediating effect on negative parenting styles, with direct effect and indirect effect accounting for 73.03% and 26.97% of the total effect, respectively. Conclusion:Parenting style can either directly affect college students' social anxiety or indirectly through the mediating effect of core self-evaluations, with core self-evaluations playing a masking role in the positive parenting styles pathway.

Objective:To analyze the clinical and imaging features of patients with COVID-19-related osmotic demyelination syndrome (ODS).Methods:COVID-19-related ODS cases diagnosed in the Department of Neurology, Peking Union Medical College Hospital from January 2020 to September 2023 were retrospectively reviewed. And their past medical history, possible triggers, clinical manifestations, imaging manifestations, treatment and prognosis were summarized.Results:A total of 5 patients with COVID-19-related ODS were included. Electrolyte disturbances acted as an inducement of ODS in all patients (5/5),4 of whom with hyponatremia. Four of 5 patients first presented with disturbance of consciousness, followed by predominant dystonia. Imaging of all patients (5/5) showed isolated extrapontine myelinolysis (EPM). With the prolongation of the course of disease, such signal intensity could return to normal, and lesions showed atrophic changes in some patients. The patients′ clinical symptoms were partly relieved within a few days to a few months after treatment.Conclusions:COVID-19-related ODS is mostly associated with hyponatremia, and EPM is more common. COVID-19 should be considered as a risk factor for ODS.

Objective:To test the reliability and validity of the general procrastination scale (GPS) in the application of middle school students.Methods:The Chinese version of GPS, the irrational procrastination scale(IPS), and the Maslach burnout inventory(MBI) were utilized to survey 10 825 middle school students in Harbin City through stratified random sampling, and 4 498 students were retested after 4 weeks. Statistical analysis was performed using SPSS 27.0 and Mplus 8.0.Results:The entries were well differentiated.Exploratory and confirmatory factor analysis indicated that GPS was composed of two factors, including active avoidance and lack of planning.The model fit was good (CFI=0.914, TLI=0.901, RMSEA=0.069, SRMR=0.072). GPS was positively correlated with the total scores of IPS and MBI ( r=0.753, 0.677, both P<0.001). The Cronbach's α coefficient of GPS was 0.864, the folded half reliability was 0.870, and the retest reliability after 4 weeks was 0.756. Conclusion:The GPS has good reliability and validity among middle school students, which provides a standard for measuring the procrastination level of middle school students and carrying out related research.

Major depressive disorder (MDD) has become an increasingly serious public health issue, characterized by high incidence and high disability rates. It often coexists with other mental health problems and physical diseases, with a significant negative impact on patients' quality of life. In clinical practice, MDD is considered a heterogeneous disease. The complexity of the pathological mechanisms and the variability in treatment responses lead to a lack of clear therapeutic targets, which complicates the treatment process. In recent years, with advancements in neuroscience, the crucial role of microglia in the pathogenesis of MDD has been revealed. As the main immune cells in the brain, microglia are not only involved in the regulation of neuroinflammation but also play important roles in neurogenesis and neuronal regulation in MDD. This article mainly discusses the role of microglia in the pathophysiological mechanisms of MDD, aiming to provide a theoretical basis for microglia as a potential target for the treatment of MDD.