Neuroscience is a significant frontier discipline within the natural sciences and has become an important interdisciplinary frontier scientific field. Brain is one of the most complex organs in the human body, and its structural and functional analysis is considered the “ultimate frontier” of human self-awareness and exploration of nature. Driven by the strategic layout of “China Brain Project”, Chinese scientists have conducted systematic research focusing on “understanding the brain, simulating the brain, and protecting the brain”. They have made breakthrough progress in areas such as the principles of brain cognition, mechanisms and interventions for brain diseases, brain-like computation, and applications of brain-machine intelligence technology, aiming to enhance brain health through biomedical technology and improve the quality of human life. Due to limited understanding and comprehension of neuroscience, there are still many important unresolved issues in the field of neuroscience, resulting in a lack of effective measures to prevent and protect brain health. Therefore, in addition to actively developing new generation drugs, exploring non pharmacological treatment strategies with better health benefits and higher safety is particularly important. Epidemiological data shows that, exercise is not only an indispensable part of daily life but also an important non-pharmacological approach for protecting brain health and preventing neurodegenerative diseases, forming an emerging research field known as motor neuroscience. Basic research in motor neuroscience primarily focuses on analyzing the dynamic coding mechanisms of neural circuits involved in motor control, breakthroughs in motor neuroscience research depend on the construction of dynamic monitoring systems across temporal and spatial scales. Therefore, high spatiotemporal resolution detection of movement processes and movement-induced changes in brain structure and neural activity signals is an important technical foundation for conducting motor neuroscience research and has developed a set of tools based on traditional neuroscience methods combined with novel motor behavior decoding technologies, providing an innovative technical platform for motor neuroscience research. The protective effect of exercise in neurodegenerative diseases provides broad application prospects for its clinical translation. Applied research in motor neuroscience centers on deciphering the regulatory networks of neuroprotective molecules mediated by exercise. From the perspectives of exercise promoting neurogenesis and regeneration, enhancing synaptic plasticity, modulating neuronal functional activity, and remodeling the molecular homeostasis of the neuronal microenvironment, it aims to improve cognitive function and reduce the incidence of Parkinson’s disease and Alzheimer’s disease. This has also advanced research into the molecular regulatory networks mediating exercise-induced neuroprotection and facilitated the clinical application and promotion of exercise rehabilitation strategies. Multidimensional analysis of exercise-regulated neural plasticity is the theoretical basis for elucidating the brain-protective mechanisms mediated by exercise and developing intervention strategies for neurological diseases. Thus,real-time analysis of different neural signals during active exercise is needed to study the health effects of exercise throughout the entire life cycle and enhance lifelong sports awareness. Therefore, this article will systematically summarize the innovative technological developments in motor neuroscience research, review the mechanisms of neural plasticity that exercise utilizes to protect the brain, and explore the role of exercise in the prevention and treatment of major neurodegenerative diseases. This aims to provide new ideas for future theoretical innovations and clinical applications in the field of exercise-induced brain protection.

Objective To explore the clinical significance of nucleolar antinuclear antibodies(ANA)in re-lated diseases.Methods This study was a retrospective study.Clinical samples of 71780 patients who visited the hospital from January 2017 to May 2022 were collected.Indirect immunofluorescence was used to detect ANA in clinical samples.Statistical analysis was conducted on the positivity rate of nucleolar ANA in clinical patients,as well as the relevant clinical information and laboratory characteristics of patients with autoimmune diseases(AID)with nucleolar ANA positivity.Results Among 71780 patients who underwent routine ANA testing,16778 were positive for ANA,with a positive rate of 23.37％.Among them,there were 1 708 cases of nucleolar type,accounting for 2.38％of all routine ANA tests,and the proportion of ANA positive cases was 10.18％.There was a statistically significant difference in the positive rate of nucleolar ANA between patients of different genders in the＞20-＜50 year old group and the ≥ 50 year old group(P＜0.05),while there was no statistically significant difference in the positive rate of nucleolar ANA between patients of different genders in the ≤ 20 year old group(P＞0.05).There was a statistically significant difference in the positivity rate of nucleolar ANA among women of different age groups(P＜0.05),among them,the highest positive rate of nucleolar ANA was found in women aged between 20 and 50 years old.There was no statistically significant difference in the positive rate of nucleolar ANA among males of different age groups(P＞0.05).The positivi-ty rate of ANA was the highest among patients in the Department of Rheumatology and Immunology(70.35％),but nucleolar ANA positivity was mainly seen in departments such as Reproductive Medicine Cen-ter(12.90％),Respiratory Medicine(12.40％),and Neurology(11.29％),and the difference in positivity rates between departments was statistically significant(P＜0.05).Out of 1 708 nucleolar ANA positive indi-viduals,420 underwent ANA titers,including 34 AID patients and 386 non AID patients.There was no statis-tically significant difference in nucleolus positive titers between non AID patients and AID patients(P＞0.05).Conclusion The nucleolus type is a common fluorescence pattern in ANA positive individuals,and there are gender and age differences in ANA positive individuals.The positive rate and titer of nucleolar ANA vary among different AID diseases.Combined with other immune function indicators,and it is helpful for early differential diagnosis of AID.

Objective: To investigate the comorbidity of myopia and scoliosis among primary and secondary school students in Tianjin, and to analyze the school environment risk factors contributing to these health issues, so as to provide a scientific basis for development effective prevention measures. Methods: A total of 41 654 primary and secondary school students from 16 districts of Tianjin were selected by stratified random cluster sampling from September to October 2023 to screen for myopia and scoliosis. Univariate analysis was performed to examine the data, followed by a bivariate multivariate Logistic regression model and cumulative effect analysis to explore the influencing factors of their comorbidity. Results: In 2023, the prevalence of comorbidity of screening positive myopia and scoliosis among primary and secondary school students in Tianjin was 2.65%. The prevalence was higher in suburban areas (3.26%) compared to urban areas (2.02%), higher among females (3.81%) compared to males (1.59%), and highest in high school students (6.17%) compared to middle school (4.19%) and primary school students (0.44%) (χ2=62.23, 198.69, 953.19, P<0.01). Logistic regression analysis showed that the number of physical education classes ≥3 per week, the number of eye health exercises at school ≥2 per day, outdoor activities between classes, teachers reminding to pay attention to reading and writing posture and strict eye standing posture were negatively correlated with the comorbidity of screening positive myopia and scoliosis (OR=0.66, 0.77, 0.71, 0.78, 0.74, P<0.05). Reading or electronic screen while lying or lying on the stomach was positively associated with the comorbidity of screening positive myopia and scoliosis (OR=1.77, P<0.05). Cumulative effect analysis showed that the cumulative score (4-7, 7-9, ≥10) was negatively correlated with the comorbidity of screening positive of myopia and scoliosis (OR=0.65, 0.55, 0.52, P<0.05). Conclusions The school environment support and students personal behavior habits in school are related to the comorbidity of comorbidity of screening positive myopia and scoliosis. Prevention and control of myopia and scoliosis should improve the environmental factors related to students health in school.

Objective: To understand trends and related factors influencing overweight and obesity among primary and secondary school students in Tianjin, so as to provide a basis for formulating overweight and obesity prevention and control strategies. Methods: In September of each year from 2019 to 2023, a survey was conducted among 197 707 primary and secondary school students in 16 districts of Tianjin through a stratified random cluster sampling method. Physical examination was carried out in accordance with the Technical Standard for Physical examination for Student, and overweight and obesity survey was carried out. Basic information, smoking, drinking, diet, physical exercise, and sleep status were collected through questionnaire surveys. Results: The detection rates of overweight and obesity among primary and secondary school students in Tianjin from 2019 to 2023 were 39.07%, 43.33%, 41.54%, 43.92%, and 40.24%, respectively，showing an increasing trend(χ2trend=7.96,P<0.01). The detection rates of overweight increased in both vocational high schools and suburban counties (χ2trends=9.08, 47.18, P<0.01). The detection rates of obesity increased among both male and female students, in primary and vocational high schools and suburban counties (χ2trends=108.34, 15.99, 7.32, 10.95, 14.75, P<0.01). Multivariate Logistic regression analysis showed that smoking, drinking, unhealthful diet, and lack of proper physical exercise had a higher risk of obesity among primary and secondary school students (OR=1.26, 1.13, 1.08, 1.21, P<0.05). Stratified analysis showed that the risk of obesity was higher among boys with unhealthful and moderate lifestyle habits, as well as primary school students with unhealthful lifestyle habits (OR=1.15, 1.11, 1.27, P<0.05). Boys, girls and primary school students with unhealthful lifestyle habits, girls and ordinary high school students with moderate lifestyle habits had higher risk of being overweight (OR=1.14, 1.32, 1.21, 1.18, 1.40, P<0.05). Conclusions The detection rates of overweight and obesity among primary and secondary school students in Tianjin shows an increasing trend. Comprehensive lifestyle should be implemented to better prevent and control the risk of overweight and obesity.

Lower-cost genotyping technology has promoted the generation of large genetic datasets with the evolving next-generation sequencing technology. The emergence of genome-wide association studies (GWAS) has facilitated researchers’ understanding of common complex diseases. GWAS refers to finding the sequence variations present in the human genome and screening out disease-related single nucleotide polymorphisms (SNPs). These SNPs are considered as the basis for assessing the stability of complex diseases. However, a single variation is not sufficient to assess an individual’s risk of disease. Polygenic risk score (PRS) is an emerging genetic data analysis method for quantitatively estimating an individual’s genetic risk for complex diseases by comprehensively considering multiple genetic variation sites. A single-value estimate of an individual’s genetic risk for a certain phenotype can be calculated as the cumulative impact of multiple genetic variants by building a PRS model. The finally expected risk score is weighted by the strength and direction of association of each SNP with the phenotype based on the number of alleles carried by each SNP. With the continuous development of various PRS calculation methods and the constant accumulation of genomic data, PRS has received widespread attention in the field of genetics. So far, quite a few studies at home and abroad have shown that PRS is valuable in risk prediction of different types of human traits or complex diseases, and its effectiveness has been further verified in clinical applications. At present, many studies have established PRS models based on GWAS summary statistics to quantify the genetic risk of susceptibility loci and clinical characteristics on diseases such as lung cancer, breast cancer, coronary heart disease, diabetes and Alzheimer’s disease. The disease-susceptible populations can be recognized through comparing the relative risk and absolute risk of the disease in different risk groups according to the population risk stratification results. Additionally, individual-level genotype data and omics data can also be used as data sources for PRS analysis research, especially the latter can dynamically reflect the short-term or long-term effects of environmental factors on human gene expression, and has potential application value in building early warning models to assess health risks. Since the calculation of PRS involves a large amount of genomic data analysis, there are big differences in the methods for data selection, model building and validation. Different PRS construction methods and software have different performances in disease risk prediction, and even the performance of same algorithm varies across diseases. It is worth noting that the PRS model often needs to be re-evaluated and verified for different groups of people, because PRS is affected by race and region. This review combines currently published PRS-related research and algorithms to describe the basic principles of PRS, compares their construction and verification methods, and discusses their applications and prospects. As a powerful genetic risk assessment tool, PRS has great potential in analyzing the genetic code of complex diseases and achieving precise diagnosis and personalized treatment.

Objective: To investigate the tendency of obesity and depressive symptoms in middle school students in Tianjin, so as to provide a reference for exploring the clustering patterns of health risk behaviors and their effects on obesity and depressive symptoms. Methods: A stratified cluster sampling method was used to investigate the obesity, depressive symptoms and health risk behaviors of middle school students from 16 counties of Tianjin from 2019 to 2023. The latent classes analysis was used to classify health risk behaviors. The χ 2 test and Logistic regression were used to analyze the effects of different categories on obesity and depression symptoms. Results: The obesity detection rate of middle school students in Tianjin from 2019 to 2023 first increased ( 20.90% in 2019, 23.35% in 2020) and then decreased and gradually stabilized (2021-2023:22.20%-22.69%), and the detection rate of depressive symptoms showed a decreasing trend (from 21.65% to 14.92%). The detection rate of comorbidity of obesity and depressive symptoms first increased (4.62% in 2019, 4.66% in 2020) and then gradually decreased to 3.43% in 2023, and the rate was higher in boys than in girls and higher in urban areas than in suburban areas. Latent category analysis classified health risk behaviors into four categories: lack of exercise group, poor behaviors such as sleep group, poor diet group and healthy group. After adjusting for demographic characteristics,the results of Logistic regression analysis showed that the co-occurrence risk of obesity and depression symptoms among the top three groups of middle school students were 1.35( OR=1.35, 95%CI =1.15-1.58), 4.20( OR=4.20, 95%CI =3.50-5.04), and 1.84( OR=1.84, 95%CI =1.40-2.38)times, compared to the healthy group ( P <0.05). Conclusions From 2019 to 2023, the comorbidity rate of obesity and depression among middle school students in Tianjin increased first and then decreased gradually. Interventions should be made in the aspects of exercise, diet, sleep and other behaviors.

Objective To investigate the effects of medullary differentiation-2(MD-2)in obesity-induced myocardial injury by regulating adenosine 5'-monophosphate-activated protein kinase(AMPK)activity.Methods The obese mice model was established by feeding high-fat feed.The wild-type and MD-2 gene knockout mice were randomly divided into wild-type(WT)-control group(fed normally),WT-model group(fed with high-fat diet),knockout(KO)-control group(fed normally)and KO-model group(fed with high-fat diet)with 8 mice in each group.At week 16,creatine kinase-MB(CK-MB)and lactate dehydrogenase(LDH)were measured by reagent kits;the left ventricular ejection fraction(LVEF)and left ventricular fraction shortening(LVFS)were measured with ultrasonic apparatus;the pathological changes in myocardial tissue were observed by hematoxylin and eosin(HE)staining and Masson staining;the protein expression of phosphorylation AMPK(p-AMPK)was measured by Western blot.Results HE staining and Masson staining results revealed significant necrosis and fibrosis of the myocardial tissue in WT-model group,while the degrees of necrosis and fibrosis in KO-model group were significantly reduced.The LVEF values of the WT-control group,WT-model group,KO-control group and KO-model group were(83.98±7.58)％,(52.03±4.91)％,(76.42±3.89)％and(73.71±4.22)％,respectively;the LVFS values of each group were(53.61±8.51)％,(24.56±3.76)％,(48.14±5.00)％and(44.07±3.74)％,respectively;the CK-MB values of each group were(49.83±15.49),(83.75±11.90),(54.03±18.66)and(66.85±12.98)U·L-1,respectively;the LDH values of each group were(12.24±3.20),(27.90±6.10),(13.55±3.55)and(15.53±2.58)U·L-1,respectively;the relative expression levels of p-AMPK in each group were 221.31±88.76,46.29±10.07,148.66±32.02 and 161.49±78.11.Compared with WT-control group,the above indicators in WT-model group,compared with WT-model group,the above indicators in KO-model group,the differences were statistically significant(all P＜0.05).Conclusion MD-2 mediates high-fat feed induced myocardial injury in obese mice by inhibiting AMPK activity.

Background::Influenza and pneumococcal vaccination are a priority in patients with chronic obstructive pulmonary disease (COPD). However, limited information is available on vaccination coverage among patients with acute exacerbations of COPD (AECOPD) in China. This study aimed to determine the rates and associated factors of influenza and pneumococcal vaccination in patients hospitalized with AECOPD.Methods::Baseline data from a national, multicenter, hospital-based study that included adult inpatients with AECOPD between 2017 and 2021 were analyzed. The outcomes of interest were the influenza vaccination in the past year and the pneumococcal vaccination in the past 5 years. To ensure national representativeness, rates were weighted according to the distribution of hospital levels and types enrolled in this study. Multivariable Poisson regression based on mixed-effects models were used to determine the associated factors. The independent variables included the region and hospital features where the participants were located, sociodemographic characteristics (age, sex, rural/urban residence, education, etc.), and clinical indicators (COPD disease history, lung function parameters, comorbidities, etc.). The treatment profiles of the vaccinated and unvaccinated participants were compared.Results::Of 6949 eligible participants, the weighted rates of influenza/pneumococcal, influenza, and pneumococcal vaccination were 2.72% (95% confidence interval [CI]: 2.34%-3.10%), 2.09% (95% CI: 1.76%-2.43%), and 1.25% (95% CI: 0.99%-1.51%), respectively. In multivariable models, age ≥60 years (60-69 years, odds ratio [OR]: 1.90, 95% CI: 1.11-3.25; ≥80 years, OR: 2.00, 95% CI: 1.06-3.78), geographical regions (Northern China relative to Eastern China, OR: 5.09, 95% CI: 1.96-13.21), urban residence (OR: 1.69, 95% CI: 1.07-2.66), a higher education level (junior high school, OR: 1.77, 95% CI: 1.21-2.58; senior high school or above, OR: 2.61, 95% CI: 1.69-4.03), former smoking (OR: 1.79, 95% CI: 1.15-2.79), and regular inhaled medication treatment (OR: 3.28, 95% CI: 2.29-4.70) were positively associated with vaccination. Patients who had experienced severe exacerbations in the past year were less likely to be vaccinated (OR: 0.65, 95% CI: 0.45-0.96). Compared with unvaccinated participants, vaccinated participants adhered better to pharmacological and non-pharmacological treatment.Conclusions::Influenza and pneumococcal vaccination coverage are extremely low. Urgent measures are necessary to increase vaccination coverage among inpatients with AECOPD in China.

Objective To elucidate the clinical significance of high expression levels of endonuclease meiosis 1(EME1)in the prognosis of hepatocellular carcinoma(HCC).Methods The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO)databases were used to screen and analyze differential gene expression between HCC and non-tumor tissues.A retrospective collection of liver tissue samples from 80 HCC patients who underwent hepatectomy in the Fifth Medical Center of Chinese PLA General Hospital between January 2010 and December 2014 was performed.Immunohistochemistry analysis was employed to detect the EME1 expression levels.Survival analysis was then conducted to assess the impact of EME1 expression on 5-year postoperative survival rate of HCC patients.Additionally,gene enrichment analysis was applied to predict the function of EME1 in HCC.Results A total of 371 HCC tissue samples and 50 non-tumor liver tissue samples from TCGA database were analyzed,revealing significantly higher EME1 expression in HCC tissues.Microarray analysis of 107 samples within the GEO database(70 HCC tissues and 37 non-tumor tissues)confirmed that EME1 mRNA expression was markedly elevated in HCC tissues compared with non-tumor tissues(P<0.05).The 5-year overall survival(OS)rate was notably lower in high EME1 expression group than that in low expression group(44.1%vs.53.0%,P<0.05).Semi-quantitative immunohistochemistry analysis demonstrated that patients with high EME1 expression had a significantly lower OS rate than those with low EME1 expression(32.8%vs.45.0%,P<0.05).Multivariate COX regression analysis identified that high EME1 expression(HR=2.234,95%CI 1.073-4.649,P=0.032)and advanced China liver caner(CNLC)staging(HR=4.317,95%CI 1.799-10.359,P=0.001)were independent risk factors for the 5-year OS of post-operation patients with HCC.Conclusion Elevated EME1 expression in HCC tissues correlates with an adverse prognosis of HCC and suggests that EME1 could serve as a potential therapeutic target for HCC.

Objective:To explore the risk factors for lymphoproliferative disorders (PTLD) in children with thalassemia major (TM) after allogeneic hematopoietic stem cell transplantation (allo-HSCT).Methods:This was a retrospective case-control study.A total of 482 children with TM who underwent allo-HSCT at Shenzhen Children′s Hospital between January 2020 and December 2022 were selected and classified into the PTLD and non-PTLD groups according to the occurrence of PTLD.The risk factors for PTLD after allo-HSCT in children with TM were analyzed, and the diagnostic efficiency of relevant risk factors for PTLD was analyzed by receiver operating characteristic (ROC) curve.Results:A total of 25 out of 482 patients (5.2%, 25/482) developed PTLD about 114 (54-271) days after allo-HSCT.Among them, 12 cases (12/25, 48.0%) occurred within 100 days, and 22 cases (22/25, 88.0%) occurred within 1 year after allo-HSCT.Univariate analysis showed that there were significant differences in gender composition, type of transplant donor, number of natural killer cells and B lymphocytes in peripheral blood at 30 days after allo-HSCT, positive rate of plasma Epstein-Barr virus deoxyribonucleic acid (EBV-DNA) and incidence rate of acute graft-versus-host disease (aGVHD) between the 2 groups (all P<0.05).Multivariate Logistic regression analysis showed that female ( OR=3.196, 95% CI: 1.144-8.929), positive plasma EBV-DNA ( OR=17.523, 95% CI: 5.449-56.344) and aGVHD ( OR=3.156, 95% CI: 1.161-8.575) were independent risk factors for PTLD after allo-HSCT in TM children (all P<0.05).The ROC curve analysis showed that positive plasma EBV-DNA had an excellent accuracy in predicting the occurrence of PTLD after allo-HSCT (sensitivity was 0.796, specificity was 0.800, area under the curve was 0.803).If combined with aGVHD and gender, the area under the curve for the prediction of PTLD increased to 0.831. Conclusions:Female, positive plasma EBV-DNA and aGVHD are independent risk factors for PTLD after allo-HSCT in children with TM.It provides useful early warnings for the prediction and prevention of PTLD.