Objective:To explore the relationship between school bullying and mental sub-health in middle school students and the potential moderating role of resilience in this relationship.Methods:Totally 792 students aged 10 to 14 years from two middle schools in Wuhan were selected.The Chinese version of Olweus Bully/Victim Questionnaire,Multidimensional Sub-health Questionnaire of Adolescents,and Adolescent Psychological Resilience Scale were used to measure school bullying,mental sub-health,and psychological resilience of students,respectively.Results:Being bullied scores were positively associated with mental sub-health scores(β=1.88).The moderating effect of psychological resilience scores between being the scores of bullied and mental sub-health was statistically significant(β=-0.07).Conclusion:The experience of bullying may be associated with mental sub-health problems of middle school students,and psychological resilience may play a moderating role in the relation-ship between being bullied and mental sub-health.

Purpose To study the changes of topological properties of brain structure network in age-related hearing loss(ARHL)by using graph theory,and to explore the relationship between the changes of brain structure network and cognition.Materials and Methods A total of 31 patients with ARHL and 27 controls from October 2022 to October 2023 in People's Hospital of Anshun City were recruited to undergo a diffusion tensor imaging scan and cognitive tests.Based on graph theory,this paper analyzes the changes of topological attributes of brain networks.The global attributes included small-world attribute,clustering coefficient,characteristic path length,global efficiency,local efficiency and network compatibility.The local attributes included nodal clustering coefficient,nodal shortest length,node efficiency,nodal local efficiency,nodal degree centrality and nodal betweenness centrality.And the correlation between abnormal brain network topology and cognition were explored.Results Compared with the control group,the characteristic path length in ARHL group significantly increased,and the global efficiency and local efficiency significantly decreased(t=3.08,-3.15,-3.30;all P<0.01);the nodal shortest length of the right orbital inferior frontal gyrus increases,while the node efficiency of the left dorsolateral superior frontal gyrus,bilateral orbital inferior frontal gyrus and left medial superior frontal gyrus decreases,and the nodal degree centrality of the left dorsolateral superior frontal gyrus,left superior parietal gyrus and left precuneus decreases(t=-4.74-5.19;all P<0.001).The Montreal cognitive assessment score in ARHL group was negatively correlated with the characteristic path length(r=-0.390,P=0.030),and positively correlated with the global efficiency(r=0.390,P=0.030)and the nodal degree centrality value of left precuneus(r=0.466,P=0.008).The mini-mental state examination score was negatively correlated with the characteristic path length(r=-0.473,P=0.007),and with the global efficiency(r=0.473,P=0.007),local efficiency(r=0.408,P=0.023),and the nodal degree centrality value of left precuneus(r=0.363,P=0.363).Conclusion There are abnormalities in the topological properties of the brain network in ARHL,and the abnormal brain regions are mainly distributed in the prefrontal and parietal lobe,among which the abnormal changes in the left precuneus may play a key role in cognitive dysfunction.

Objective To investigate the plasma level of interleukin-31(IL-31)in patients with pulmonary arterial hypertension(PAH)and its clinical relevance.Methods The patients who were diagnosed as PAH in Zhongshan Hospital,Fudan University from January 1,2021 to December 30,2023(PAH group)and the healthy people in the same period(control group)were selected.The clinical data and follow-up records were collected.Plasma levels of IL-31,IL-1β,IL-6,IL-10,IL-12p70,monocyte chemoattractant protein-1(MCP-1),tumor necrosis factor-α(TNF-α)and transforming growth factor-β1(TGF-β1)were detected by enzyme-linked immunosorbent assay(ELISA).Pearson correlation test was used to evaluate the correlations between IL-31 and right cardiac catheterization parameters,echocardiography parameters and blood indices in patients with PAH.Cox proportional hazard model was used to analyze the prognostic factors of patients in PAH group.Results A total of 50 patients with PAH and 22 healthy controls were included.There was no significant difference in age,gender,body mass index and left ventricular ejection fraction between the two groups.Compared with the control group,the plasma level of IL-31 in the PAH group was significantly higher(168.82[149.14,177.26]pg/mL vs 152.76[145.58,159.41]pg/mL,P=0.001).Pearson correlation test showed that the plasma level of IL-31 in PAH patient was positively correlated with mean pulmonary artery pressure(r=0.652,P＜0.001)and pulmonary vascular resistance(r=0.651,P＜0.001),but was negatively correlated with tricuspid annular plane systolic excursion(r=-0.496,P＜0.001).Cox proportional hazard model showed that higher plasma level of IL-31 was an independent predictor of readmission for heart failure/all-cause mortality in patients with PAH(HR=1.130,95％CI 1.052-1.214,P=0.001).Conclusions Plasma level of IL-31 may be significantly increased in patients with PAH and be positively correlated with the severity of PAH,and elevated level of IL-31 is predictive of poor prognosis in PAH patients.

Objective:To evaluate the performance of an artificial intelligent (AI)-based automated digital cell morphology analyzer (hereinafter referred as AI morphology analyzer) in detecting peripheral white blood cells (WBCs).Methods:A multi-center study. 1. A total of 3010 venous blood samples were collected from 11 tertiary hospitals nationwide, and 14 types of WBCs were analyzed with the AI morphology analyzers. The pre-classification results were compared with the post-classification results reviewed by senior morphological experts in evaluate the accuracy, sensitivity, specificity, and agreement of the AI morphology analyzers on the WBC pre-classification. 2. 400 blood samples (no less than 50% of the samples with abnormal WBCs after pre-classification and manual review) were selected from 3 010 samples, and the morphologists conducted manual microscopic examinations to differentiate different types of WBCs. The correlation between the post-classification and the manual microscopic examination results was analyzed. 3. Blood samples of patients diagnosed with lymphoma, acute lymphoblastic leukemia, acute myeloid leukemia, myelodysplastic syndrome, or myeloproliferative neoplasms were selected from the 3 010 blood samples. The performance of the AI morphology analyzers in these five hematological malignancies was evaluated by comparing the pre-classification and post-classification results. Cohen′s kappa test was used to analyze the consistency of WBC pre-classification and expert audit results, and Passing-Bablock regression analysis was used for comparison test, and accuracy, sensitivity, specificity, and agreement were calculated according to the formula.Results:1. AI morphology analyzers can pre-classify 14 types of WBCs and nucleated red blood cells. Compared with the post-classification results reviewed by senior morphological experts, the pre-classification accuracy of total WBCs reached 97.97%, of which the pre-classification accuracies of normal WBCs and abnormal WBCs were more than 96% and 87%, respectively. 2. The post-classification results reviewed by senior morphological experts correlated well with the manual differential results for all types of WBCs and nucleated red blood cells (neutrophils, lymphocytes, monocytes, eosinophils, basophils, immature granulocytes, blast cells, nucleated erythrocytes and malignant cells r>0.90 respectively, reactive lymphocytes r=0.85). With reference, the positive smear of abnormal cell types defined by The International Consensus Group for Hematology, the AI morphology analyzer has the similar screening ability for abnormal WBC samples as the manual microscopic examination. 3. For the blood samples with malignant hematologic diseases, the AI morphology analyzers showed accuracies higher than 84% on blast cells pre-classification, and the sensitivities were higher than 94%. In acute myeloid leukemia, the sensitivity of abnormal promyelocytes pre-classification exceeded 95%. Conclusion:The AI morphology analyzer showed high pre-classification accuracies and sensitivities on all types of leukocytes in peripheral blood when comparing with the post-classification results reviewed by experts. The post-classification results also showed a good correlation with the manual differential results. The AI morphology analyzer provides an efficient adjunctive white blood cell detection method for screening malignant hematological diseases.

Objective:To compare the self-evaluated learning behavior and achievement of eight-year-program clinical medical students on online and offline problem-based learning (PBL), and to provide references and suggestions for successful implementation of online PBL teaching.Methods:During the three semesters of September 2020 to January 2022, a survey was performed on 100 clinical medical students of 2018 eight-year program on online or offline PBL teaching in Xiangya School of Medicine, Central South University. At the end of PBL courses, the students received questionnaires to self-assess their learning behavior and achievement in online or offline PBL teaching. The data were analyzed using the paired rank sum test with the use of SPSS 26.0.Results:Before class, there were no significant differences in learning behaviors including preparation time, communication with classmates, and materials collecting and sorting between students on online and offline PBL teaching ( P>0.05). In class, no significant differences were found in students' initiative of speaking and degree of satisfaction with classmates' speaking between online and offline teaching ( P>0.05), but the students on offline teaching showed significantly better concentration of attention ( Z=-4.24, P<0.001), listening to classmates' speeches ( Z=-3.42, P=0.001), and classmates' interaction ( Z=-3.11, P=0.002) compared with those on online teaching. No significant differences were observed between online and offline PBL teaching in students' self-evaluated learning achievements including improvements in autonomous learning ability, problem-solving ability, and literature inquiry skills ( P>0.05). Conclusion:Students on online PBL teaching have generally as good pre-class preparation and in-class learning performance as those on offline PBL teaching, indicating that the online PBL mode can be well implemented, and it can also ensure almost the same learning achievement as offline teaching.

Bisecting N-acetylglucosamine(GlcNAc),a GlcNAc linked to the core β-mannose resi-due via a β1,4 linkage,is a special type of N-glycosylation that has been reported to be involved in various biological processes,such as cell adhesion and fetal development.This N-glycan structure is abundant in human trophoblasts,which is postulated to be resistant to natural killer cell-mediated cytotoxicity,enabling a mother to nourish a fetus without rejection.In this study,we hypothesized that the human amniotic membrane,which serves as the last barrier for the fetus,may also express bisected-type glycans.To test this hypothesis,glycomic analysis of the human amniotic membrane was performed,and bisected N-glycans were detected.Furthermore,our pro-teomic data,which have been previously employed to explore human missing proteins,were ana-lyzed and the presence of bisecting GlcNAc-modified peptides was confirmed.A total of 41 glycoproteins with 43 glycopeptides were found to possess a bisecting GlcNAc,and 25 of these gly-coproteins were reported to exhibit this type of modification for the first time.These results provide insights into the potential roles of bisecting GlcNAc modification in the human amniotic membrane,and can be beneficial to functional studies on glycoproteins with bisecting GlcNAc modifications and functional studies on immune suppression in human placenta.

Abstract The outbreak of tuberculosis in campus shows a profound impact on academic learning and mental health of students, which might result in more serious social problems. The present editorial addresses weak links in the school tuberculosis prevention and control. Disease prevention and control institutions, medical institutions, education administrative departments and schools need to clarify work responsibilities, strictly implement the school tuberculosis prevention and control laws, regulations and management guidelines, and coordinate with multiple departments, with the aim to strengthen early warning capacity for campus tuberculosis, improve tuberculosis screening and risk assessment of relevant personnel, and implement the health checkup of schools and faculty, as well as the screening, diagnosis, registration, treatment and follow up of students cases. To further improve tuberculosis control across China, strengthening the awareness of tuberculosis prevention and control among institutions and the public, and improving adherence to tuberculosis treatment, as well as moving forward from passive to active tuberculosis monitoring and early prevention, reducing the occurrence of tuberculosis outbreak in school should be prioritized, so as to promote the smooth development of tuberculosis prevention and control work in China.

Mild cognitive impairment (MCI) is a pre-clinical stage of Alzheimer's disease (AD). In recent years, transcranial direct current stimulation (tDCS), as a neuromodulation technique, has being applied in the field of cognitive intervention for MCI, but its effect is controversial because of many factors. In order to promote the application of tDCS in intervention for MCI, this study performed a systematic review of the previous studies that used tDCS to improve cognitive functions of MCI individuals. The results indicate that tDCS could improve episodic memory, working memory, and language of individuals with MCI, while there is a lack of strong evidence that supports a positive effect of tDCS on attention of individuals with MCI. The placement of electrodes, time course of treatment, and current intensity all affected the intervention effect of tDCS. Future studies should take brain networks underlying cognitive processes and personalized factors such as age and education level into consideration to design better stimulation protocols, and they should be conducted in combination with neuroimaging technologies to evaluate the intervention effect of tDCS more accurately and objectively and to discover the neural mechanisms of tDCS intervention.

Adverse drug reactions are often encountered in the process of medication and are quite troublesome for clinicians. Skin is one of the most frequently affected organs by adverse drug reactions. Adverse drug reactions involving skin are called "drug-induced dermatitis" or "drug eruption". In some rare instances, drug eruption can be severe and life-threatening which is known as severe cutaneous adverse drug reaction. However, due to the mixed use of drugs, it is difficult to identify the culprit drug, which makes multiple drugs needed to be avoided. Recently, many studies have found that HLA alleles are closely related to the certain culprit drug. HLA genotyping before administration can significantly reduce the incidence of severe cutaneous adverse drug reaction related to certain drugs. Since limited HLA alleles are found, HLA genotyping can only prevent adverse drug reaction to a limited extent. At present, drug provocation tests are regarded as the "gold standard" to identify the culprit drug. However, this diagnostic program has not been widely developed because of the high risk. In addition, a variety of in vivo and in vitro diagnostic methods (including drug patch test, drug skin test, drug specific IgE test, basophil activation test, lymphocyte transformation test, et al) also provide evidences to identify the culprit drug.

Adverse drug reactions are often encountered in the process of medication and are quite troublesome for clinicians. Skin is one of the most frequently affected organs by adverse drug reactions. Adverse drug reactions involving skin are called "drug-induced dermatitis" or "drug eruption". In some rare instances, drug eruption can be severe and life-threatening which is known as severe cutaneous adverse drug reaction. However, due to the mixed use of drugs, it is difficult to identify the culprit drug, which makes multiple drugs needed to be avoided. Recently, many studies have found that HLA alleles are closely related to the certain culprit drug. HLA genotyping before administration can significantly reduce the incidence of severe cutaneous adverse drug reaction related to certain drugs. Since limited HLA alleles are found, HLA genotyping can only prevent adverse drug reaction to a limited extent. At present, drug provocation tests are regarded as the "gold standard" to identify the culprit drug. However, this diagnostic program has not been widely developed because of the high risk. In addition, a variety of in vivo and in vitro diagnostic methods (including drug patch test, drug skin test, drug specific IgE test, basophil activation test, lymphocyte transformation test, et al) also provide evidences to identify the culprit drug.