Working memory is an executive memory process that includes encoding, maintenance, and retrieval. These processes can be modulated by transcranial alternating current stimulation (tACS) with sinusoidal waves. However, little is known about the impact of the rate of current change on working memory. In this study, we aimed to investigate the effects of two types of tACS with different rates of current change on working memory performance and brain activity. We applied a randomized, single-blind design and divided 81 young participants who received triangular wave tACS, sinusoidal wave tACS, or sham stimulation into three groups. Participants performed n-back tasks, and electroencephalograms were recorded before, during, and after active or sham stimulation. Compared to the baseline, working memory performance (accuracy and response time) improved after stimulation under all stimulation conditions. According to drift-diffusion model analysis, triangular wave tACS significantly increased the efficiency of non-target information processing. In addition, compared with sham conditions, triangular wave tACS reduced alpha power oscillations in the occipital lobe throughout the encoding period, while sinusoidal wave tACS increased theta power in the central frontal region only during the later encoding period. The brain network connectivity results showed that triangular wave tACS improved the clustering coefficient, local efficiency, and node degree intensity in the early encoding stage, and these parameters were positively correlated with the non-target drift rate and decision starting point. Our findings on how tACS modulates working memory indicate that triangular wave tACS significantly enhances brain network connectivity during the early encoding stage, demonstrating an improvement in the efficiency of working memory processing. In contrast, sinusoidal wave tACS increased the theta power during the later encoding stage, suggesting its potential critical role in late-stage information processing. These findings provide valuable insights into the potential mechanisms by which tACS modulates working memory.
Humans ; Memory, Short-Term/physiology* ; Male ; Female ; Young Adult ; Transcranial Direct Current Stimulation/methods* ; Brain/physiology* ; Adult ; Electroencephalography ; Single-Blind Method

Surgical operation is the main treatment of oral and maxillofacial tumors.Dysphagia is a common postoperative complication.Swal-lowing disorder can not only lead to mis-aspiration,malnutrition,aspiration pneumonia and other serious consequences,but also may cause psychological problems and social communication barriers,affecting the quality of life of the patients.At present,there is no systematic evalua-tion and rehabilitation management plan for the problem of swallowing disorder after oral and maxillofacial tumor surgery in China.Combining the characteristics of postoperative swallowing disorder in patients with oral and maxillofacial tumors,summarizing the clinical experience of ex-perts in the field of tumor and rehabilitation,reviewing and summarizing relevant literature at home and abroad,and through joint discussion and modification,a group of national experts reached this consensus including the core contents of the screening of swallowing disorders,the phased assessment of prognosis and complications,and the implementation plan of comprehensive management such as nutrition management,respiratory management,swallowing function recovery,psychology and nursing during rehabilitation treatment,in order to improve the evalua-tion and rehabilitation of swallowing disorder after oral and maxillofacial tumor surgery in clinic.

ObjectiveTo systematically analyze international disability data policies and standards, as well as the application of disability data in policymaking, service optimization and inclusive social development, and to clarify the importance of international disability data policies, standard systems and disability data application for the development of disability-related services. MethodsThrough the analysis of policy content and research on the data standard system, this study explored the disability data policy framework, standard system and technical path of data interoperability and integration of international organizations including the United Nations (United Nations Statistics Division and United Nations Children's Fund), World Health Orgnization, United Nations Educational Scientific and Cultural Organization, and International Labour Organization. ResultsInternational organizations established disability data policy frameworks based on their respective mandates, involving data and service development, data standards, data governance, and data application. The international community established a disability data standard system for disability data collection, coding, exchange, interoperability, statistical analysis, data fusion and application. Building a standardized disability data standard system based on the framework of international health classification standards such as International Classification of Functioning, Disability and Health, and International Classification of Diseases, Eleventh Revision would ensure the consistency of cross-national disability data policies, and the interoperability and comparability of disability data, promoting the development of data-driven disability-related services, accurately identifying the service needs of people with disabilities, and optimizing service provision, thereby improving the quality of life and social participation of people with disabilities. ConclusionThe construction and implementation of international disability data policies and data standards have promoted the standardization and interoperability of disability data. With the application of big data, artificial intelligence and blockchain technologies in disability data, international cooperation and cross-industry data fusion in the field of disability data have been promoted, further promoting the development of data-driven disability services, ensuring equal opportunities for people with disabilities to enjoy service resources, and improving the coverage and quality of disability services.

MiR-138-5p is a microRNA that plays an important regulatory role in the pathogenesis of osteoarthritis.MiR-138-5p regulates various biological processes,including inflammation,cell apoptosis and proliferation,and matrix degradation in osteoarthritis,by modulating signaling pathways including nuclear factor-κB,Wnt/β-catenin,and phosphoinositide 3-kinase/AKT.This review summarizes the research progress regarding the mechanism of miR-138-5p in osteoarthritis.

Objective To observe the value of semi-quantitative parameters related to gated myocardial perfusion imaging(G-MPI)for predicting occurrence of major adverse cardiovascular events(MACE)in patients with chronic kidney disease(CKD).Methods Totally 148 CKD patients who underwent rest G-MPI(R-GMPI)(R-GMPI group,n=95)or stress/rest G-MPI(S/R-GMPI)(S/R-GMPI group,n=53)were retrospectively included.The patients were categorized into MACE subgroup and non-MACE subgroup according to MACE occurred or not during follow-up.Clinical data and G-MPI parameters were compared between subgroups,and independent predictors of MACE in CKD patients were obtained using multivariate Cox proportional hazards regression analysis.Receiver operating characteristic(ROC)curve was drawn,the area under the curve(AUC)was calculated to assess the efficacy of each independent predictor for predicting MACE.Among patients who underwent only R-GMPI,the optimal cut-off value of each parameter for predicting MACE was obtained by ROC curve analysis,and the risk of MACE was stratified,then Kaplan-Meier curves were drawn and compared with log-rank test.Results Among 95 patients who underwent only R-GMPI,compared with non-MACE subgroup,those in MACE subgroup had smaller body mass index(BMI)and higher proportion of previous myocardial infarction and hemodialysis,as well as higher R-GMPI left ventricle end-diastolic volume(R-LVEDV),left ventricle end-systolic volume(R-LVESV),sum rest score(R-SRS)but lower left ventricle ejection fraction(R-LVEF)(all P＜0.05),while R-SRS(HR=1.068,95％CI[1.027,1.110])and R-LVESV(HR=1.011,95％CI[1.005,1.017])were both independent predictors for MACE(both P＜0.05).Among 53 patients who underwent S/R-GMPI,compared with non-MACE subgroup,those in MACE subgroup had with higher blood creatinine and lower estimated glomerular filtration rate(eGFR),higher S-LVESV,R-LVEDV,sum stress score(SSS),SRS and sum difference score(SDS)(all P＜0.05),and SDS(HR=1.454,95％CI[1.063,1.989])was an independent predictor for MACE(P＜0.05).Among 95 CKD patients who underwent only R-GMPI,AUC of R-SRS and R-LVESV alone for predicting MACE was 0.659 and 0.694,respectively,and higher incidence of MACE was found in those w ith R-SRS ≥8 points,also in those with R-LVESV ≥91 ml(both P＜0.05).Conclusion G-MPI could be used to evaluate myocardial perfusion and function in CKD patients.For CKD patients just underwent only R-GMPI,R-SRS and R-LVESV were independent predictors for MACE,whereas SDS might be utilized to predict MACE in CKD patients who could undergo S/R-GMPI.

Objective:To evaluate the predictive value of stress+ rest gated myocardial perfusion imaging (G-MPI) in assessing all-cause mortality risk in patients with familial hypercholesterolemia (FH).Methods:From June 2010 to March 2022, 72 patients (39 males, 33 females; age (21.1±12.3) years) who diagnosed with FH clinically and genetically and underwent stress+ rest G-MPI in Beijing Anzhen Hospital, Capital Medical University were retrospectively followed up. Image analysis was performed using the 17-segment 5-point method to obtain left ventricular myocardial perfusion and functional parameters. Patients were followed for all-cause mortality events, and predictors associated with the risk of all-cause mortality were analyzed using Cox regression. The efficiencies of predictors were evaluated by ROC curve analysis, and the Kaplan-Meier method and log-rank test were used to compare the differences in the incidence of all-cause mortality in different groups of patients with FH. Independent-sample t test or Mann-Whitney U test was used to analyze the data. Results:The follow-up time of 72 patients was 7(4, 10) years, and all-cause death occurred in 16(22.2%) patients during the follow-up period. There were statistically significant differences in total cholesterol (TC), low density lipoprotein cholesterol (LDLC), summed stress score (SSS), summed rest score (SRS), summed difference score (SDS), stress end-systolic volume (SESV), stress ejection fraction (SEF), rest end-diastolic volume (REDV), rest end-systolic volume (RESV) and rest ejection fraction (REF) between the death group and the survival group ( t values: from -2.65 to 4.47, z values: from -3.43 to -1.98, all P<0.05). Cox regression analysis showed that SDS (hazard ratio ( HR)=1.337, 95% CI: 1.114-1.604, P=0.002), SESV ( HR=1.019, 95% CI: 1.008-1.030, P<0.001) and LDLC ( HR=1.355, 95% CI: 1.049-1.749, P=0.020) were independent predictors associated with the risk of all-cause mortality in patients with FH. The optimal cut-off value of SESV for predicting mortality in patients with FH determined by ROC curve analysis was 35.5 ml, with the AUC of 0.701 (95% CI: 0.517-0.885). The incidence of all-cause mortality in the group with SESV≥35.5 ml was significantly higher than that in the group with SESV<35.5 ml (28.6% vs 6.9%; χ2=5.15, P=0.023). Conclusion:Stress+ rest G-MPI is an important imaging method for all-cause mortality risk assessment in patients with FH, and SDS, SESV and LDLC are important factors in predicting mortality in patients with FH.

Objective:To establish the normal reference value of left ventricular function parameters by cadmium-zinc-tellurium (CZT) SPECT stress gated myocardial perfusion imaging (G-MPI) in low-likelihood of stable coronary artery disease (SCAD).Methods:From March 2022 to August 2022, 348 consecutive SCAD patients (146 males, 202 females, age (58±10) years) who underwent exercise or pharmacological stress G-MPI (CZT SPECT) in Beijing Anzhen Hospital, Capital Medical University were retrospectively recruited. Left ventricular end-diastolic volume (EDV), end-systolic volume (ESV), and left ventricular ejection fraction (LVEF) were acquired using quantitative gated SPECT (QGS) analysis. EDV and ESV were corrected by body surface area (BSA) to obtain EDV index (EDVI) and ESV index (ESVI), respectively. Independent-sample t test, one-way analysis of variance and Mann-Whitney U test were used for data analysis. The influences of EDV, ESV, EDVI, ESVI and LVEF were analyzed by multiple regressions for linear models. Results:There were 314 patients with low-likelihood of SCAD (128 males, 186 females, age (58±10) years) and 34 normal controls (18 males, 16 females, age (55±10) years). There were no significant differences of basic clinical characteristics and left ventricular function parameters in different genders between 2 groups ( z values: from -1.74 to -0.02, t values: from -1.16 to 1.17, all P>0.05). Using the 95% CI as the cut-off value for left ventricular function parameters in patients with a low-likelihood of SCAD, the upper limits of EDV, ESV, EDVI and ESVI in females and males were 84 and 111 ml, 30 and 44 ml, 47 and 54 ml/m 2, 17 and 21 ml/m 2, respectively, and the lower limit of LVEF in females and males were 58% and 55%, respectively. In the low-likelihood of SCAD group, the EDV ((58±13) vs (77±17) ml) and ESV ((16±7) vs (26±9) ml) of females were smaller than those of males ( t values: 10.65, 10.35, both P<0.001), while LVEF of females was higher than that of males ((72±7)% vs (67±6)%; t=-6.23, P<0.001). However, there were no significant differences in left ventricular function parameters among different age groups with the same gender ( F values: 0.12-2.19, all P>0.05). Based on multiple regression for linear models, the primary predictors of EDV, ESV and LVEF were gender and weight ( β values: from -0.380 to 0.358, all P<0.05). Conclusions:Normal reference values of left ventricular function parameters are established by CZT SPECT stress G-MPI in low-likelihood of SCAD patients. Left ventricular EDV and ESV of females are smaller than those of males, while LVEF of females is higher than that of males. The influence of gender on left ventricular function parameters should be considered in clinical practice.

Synthetic Biology is one of the most promising fields of modern Biology and a frontier interdisciplinary subject in the 21st century. With the rapid development of synthetic biology, the International Genetically Engineered Machine (iGEM) competition has emerged. The iGEM competition, based on the subject foundation of Synthetic Biology, intends to solve the biological problems in our daily life by applying modern biological technology. In recent years, with the continuous increase of participating teams, the iGEM competition has received extensive attention and achieved great progress. On the basis of the development of Synthetic Biology, we analyzed the 2018-2020 award-winning projects of the iGEM competition and illustrated the role and significance of the iGEM competition in cultivating college students' innovative thinking and ability with the participation experience of the iGEM team of Southwest Jiaotong University as an example.
Genetic Engineering ; Humans ; Students ; Synthetic Biology ; Universities

Objective:To explore the diagnostic value of 18F-deoxyglucose (FDG) PET/CT dual-time-point imaging (DTPI) in the diagnosis of aortic grafts infection (AGI). Methods:Forty-two patients with suspected AGI were prospectively recruited in this DTPI study from October 2014 to October 2021. There were 35(83%) males and 7 females, mean age (54±15) years old, range 22-79 years old. PET/CT image quality was scored as 5 grading scale. Semi-quantitative analysis of DTPI data was performed using maximum standardized uptake value (SUVmax) of suspected AGI lesions. The percentage of SUVmax change between initial and delayed images were recorded as retention index (RI). Management of Aortic Graft Infection Collaboration (MAGIC) criteria were used as the diagnostic reference criteria for AGI.Results:According to the MAGIC criteria, 27 patients (64%) were positive for AGI, and 15 patients (36%) were negative. The mean RI of AGI was higher than that of non-AGI ones[(26.7±18.9)% vs. (6.4 ±18.8)%, P<0.01]. The sensitivity, specificity, and accuracy of initial SUVmax ≥6 with the presence of AGI was 88.9%, 73.3%, and 83.3%, respectively. Delayed SUVmax ≥6 improved the sensitivity (96.3%) and accuracy (88.1%) for diagnosing AGI. DTPI with 15% increment as the optimal cut-off value of RI improved the specificity (93.3%) and accuracy (90.5%) for diagnosing AGI. Fifteen (56%, 15/27) AGI patients had improved image quality grading on the delayed images, leading to more accurately delineating the detailed extent of the infected aortic graft. Conclusion:18F-FDG PET/CT DTPI has better diagnostic performance for AGI than conventional Single-time-point PET/CT imaging by improving image quality as well as enhancing delineation of infected aortic graft extent.

Objective:To explore the expression of signal sequence receptor subunit 1 (SSR1) and its prognostic value in hepatocellular carcinoma.Methods:Search the expression data and relevant clinical data of SSR1 in hepatocellular carcinoma patients from the Cancer Genome Atlas (TCGA) database to June 20, 2021, and download relevant public data. The expression levels of SSR1 in 334 cases of hepatocellular carcinoma with complete information and data were analyzed retrospectively. The expression difference of SSR1 gene between hepatocellular carcinoma and adjacent tissues was analyzed by Wilcoxon signed rank test. Patients with hepatocellular carcinoma were divided into high expression group and low expression group based on the median value of SSR1 expression level (14.660). χ 2 test was conducted to analyze the relationship between SSR1 expression and clinicopathological features. Cox regression and Log-rank survival test were used to analyze the relationship between SSR1 gene expression, clinicopathological features and overall survival rate in patients with hepatocellular carcinoma. Univariate and multivariate Cox regression analysis were used to determine the factors affecting prognosis. Gene set enrichment analysis (GSEA) was used to predict the possible regulatory pathways. Result:Bioinformatics analysis based on TCGA database showed that the expression level of SSR1 in hepatocellular carcinoma (16.320±7.231) was significantly higher than that in normal liver tissue (7.473±1.410). The difference between groups was statistically significant ( t=8.621, P<0.001).The overall survival rate of patients with high SSR1 gene expression group was lower than that of patients with high SSR1 gene expression group (χ 2=10.1, P<0.001). The high expression of SSR1 gene was related to sex (χ 2=4.392, P=0.036), Stage (χ 2=6.264, P=0.012), T stage (χ 2=4.561, P=0.033) and Grade classification (χ 2=14.015, P<0.001). Multivariate Cox regression analysis showed that patients with high expression of SSR1 gene got worse risk of death ( HR=1.030, 95% CI:1.002-1.060, P=0.036), and SSR1 gene expression was an independent predictor of hepatocellular carcinoma. Gene set enrichment analysis showed that the high expression of SSR1 was related to ubiquitination, cell cycle, RNA degradation, mTOR signal pathway, Wnt signal pathway and MAPK signal pathway. Conclusion:SSR1 gene is significantly up-regulated in hepatocellular carcinoma, which is related to gender, Stage, T stage and Grade classification. Ubiquitination, cell cycle, RNA degradation, mTOR signal pathway, Wnt signal pathway and MAPK signal pathway may be the key pathways for SSR1 to promote the occurrence and development of hepatocellular carcinoma.