Objective To observe the clinical efficacy of therapy of resolving blood stasis and tranquilizing mind in the treatment of insomnia with internal blockage of blood stasis type.Methods A parallel randomized controlled trial was conducted on 88 cases of insomnia patients with internal blockage of blood stasis type who admitted to Bao'an Traditional Chinese Medicine Hospital Affiliated to Guangzhou University of Chinese Medicine from January 2024 to June 2024.The patients were randomly divided into an observation group and a control group,with 44 cases in each group.The observation group was treated with the self-made Huayu Anshen Prescription(modified Xuefu Zhuyu Decoction)orally following the therapy of resolving blood stasis and tranquilizing mind,while the control group was treated with Dexzopiclone Tablets orally.The course of treatment for the two groups covered four weeks.The changes in the scores of traditional Chinese medicine(TCM)syndrome,Pittsburgh Sleep Quality Index(PSQI),Self-Rating Depression Scale(SDS),and Self-Rating Anxiety Scale(SAS)in the two groups before and after treatment were observed,and then the clinical efficacy and medication safety of the patients in the two groups were evaluated.Results(1)After four weeks of treatment,the total effective rate of the observation group was 86.36%(38/44)and that of the control group was 70.45%(31/44),and the intergroup comparison showed that the clinical efficacy of the observation group was significantly superior to that of the control group,the difference being statistically significant(χ2=8.080,P<0.05).(2)After treatment,the scores of TCM syndrome,PSQI,SDS,and SAS of patients in the two groups were all significantly decreased compared with those before treatment(P<0.01),and the decrease in the observation group was significantly superior to that in the control group,the differences all being statistically significant(P<0.05).(3)During the treatment,there were no obvious adverse reactions occurred in the two groups,with higher safety.Conclusion Therapy of resolving blood stasis and tranquilizing mind for treating insomnia with internal blockage of blood stasis type can effectively alleviate patients'clinical symptoms,improve their sleep quality and relieve depression and anxiety,with stronger clinical efficacy and higher safety.

Objective:To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination.Methods:Cervical cytology slide data were retrospectively collected from four hospitals for the external validation of the developed artificial intelligence-assisted diagnostic system. Subsequently, prospective data collection was conducted for human-machine assisted studies.Results:In the retrospective study, a total of 3 162 valid samples were collected as external validation data. The system showed an area under the curve (AUC) of 0.890 (95% CI: 0.878-0.902), accuracy of 0.885 (95% CI: 0.873-0.896), sensitivity of 0.928 (95% CI: 0.914-0.941), and specificity of 0.852 (95% CI: 0.834-0.867). In the prospective study, 212 valid samples were collected, and five junior cytologists participated in the human-machine assisted study. Without artificial intelligence assistance, the average AUC for the five cytologists was 0.686 (95% CI: 0.650-0.722), the accuracy was 0.699 (95% CI: 0.671-0.727), the sensitivity was 0.653 (95% CI: 0.599-0.703), the specificity was 0.719 (95% CI: 0.685-0.750), the Fleiss κ value was 0.510, and the reading time was 223 seconds. With artificial intelligence assistance, the AUC, accuracy, sensitivity, and specificity increased by 0.166, 0.143, 0.225, and 0.107, respectively. Additionally, Fleiss κ was 0.730 and the reading time decreased by 188 seconds. All differences were statistically significant (all P<0.001). Conclusions:Artificial intelligence-assisted diagnosis system shows excellent performance and good generalizability, significantly improving the diagnostic accuracy, consistency, and efficiency of junior cytologists. It can be an effective auxiliary tool for junior cytologists in clinical practice.

Epigenetic modifications of RNA play a crucial role in the initiation and progression of tumors.Among these modifications,N6-methyladenosine(m6A)modification catalyzed by the METTL3 methyltransferase is one of the most common RNA modifications.It is essential for regulating RNA transcription,stability,and translation.At the same time,long non-coding RNAs(lncRNAs)also serve as important regulatory molecules and play a significant role in the development and progression of tumors.However,the reciprocal interaction between lncRNAs and METTL3,as well as their functional mechanisms within tumors,are not fully understood.This paper aims to provide a comprehensive over-view of the mutual regulation between lncRNAs and METTL3 in tumors.The goal is to offer new insights and theoretical foundations for a better understanding of tumor pathogenesis.

Epigenetic modifications of RNA play a crucial role in the initiation and progression of tumors.Among these modifications,N6-methyladenosine(m6A)modification catalyzed by the METTL3 methyltransferase is one of the most common RNA modifications.It is essential for regulating RNA transcription,stability,and translation.At the same time,long non-coding RNAs(lncRNAs)also serve as important regulatory molecules and play a significant role in the development and progression of tumors.However,the reciprocal interaction between lncRNAs and METTL3,as well as their functional mechanisms within tumors,are not fully understood.This paper aims to provide a comprehensive over-view of the mutual regulation between lncRNAs and METTL3 in tumors.The goal is to offer new insights and theoretical foundations for a better understanding of tumor pathogenesis.

Objective:To analyze the burden and trends of noncommunicable chronic disease(NCD) attributable to metabolic factors in China from 1990 to 2021.Methods:Data from the Global Burden of Diseases(GBD) 2021 database were utilized to describe changes in mortality and disability-adjusted life years(DALYs) of NCD in China from 1990 to 2021. Stratified analyses were conducted by age, sex, sociodemographic index(SDI), and related risk factors. Statistical analyses and predictions were conducted using the age-period-cohort model and the Nordpred model.Results:In 2021, the age-standardized mortality rate and age-standardized DALYs rate of NCD attributable to metabolic factors in China were 227.56 per 100 000 and 4 829.39 per 100 000, respectively. Their average annual percentage changes were -0.76%( P<0.001) and -0.77%( P<0.001). Overall, the burden decreased progressively with higher SDI levels. Analysis using the age-period-cohort model indicated reduced birth cohort and period effects for metabolic factor-attributable NCD, while age effects rose significantly. The minimum relative risk( RR) value was observed in the 15-19 age group( RR=0.01), and the maximum RR value occurred in the 95-99 age group( RR=996.86). The overall rising mortality trend indicated that age effects are the predominant driver at present. Projections estimate that by 2046, deaths from metabolic factor-attributable NCD in China will reach 8 189 563, with an age-standardized mortality rate of 236.95 per 100 000. Conclusions:China continues to face a substantial burden of NCD linked to metabolic factors, with older adults, males, and individuals with hypertension, diabetes, and prediabetes identified as key populations requiring targeted interventions.

Objective:To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination.Methods:Cervical cytology slide data were retrospectively collected from four hospitals for the external validation of the developed artificial intelligence-assisted diagnostic system. Subsequently, prospective data collection was conducted for human-machine assisted studies.Results:In the retrospective study, a total of 3 162 valid samples were collected as external validation data. The system showed an area under the curve (AUC) of 0.890 (95% CI: 0.878-0.902), accuracy of 0.885 (95% CI: 0.873-0.896), sensitivity of 0.928 (95% CI: 0.914-0.941), and specificity of 0.852 (95% CI: 0.834-0.867). In the prospective study, 212 valid samples were collected, and five junior cytologists participated in the human-machine assisted study. Without artificial intelligence assistance, the average AUC for the five cytologists was 0.686 (95% CI: 0.650-0.722), the accuracy was 0.699 (95% CI: 0.671-0.727), the sensitivity was 0.653 (95% CI: 0.599-0.703), the specificity was 0.719 (95% CI: 0.685-0.750), the Fleiss κ value was 0.510, and the reading time was 223 seconds. With artificial intelligence assistance, the AUC, accuracy, sensitivity, and specificity increased by 0.166, 0.143, 0.225, and 0.107, respectively. Additionally, Fleiss κ was 0.730 and the reading time decreased by 188 seconds. All differences were statistically significant (all P<0.001). Conclusions:Artificial intelligence-assisted diagnosis system shows excellent performance and good generalizability, significantly improving the diagnostic accuracy, consistency, and efficiency of junior cytologists. It can be an effective auxiliary tool for junior cytologists in clinical practice.

Objective:To analyze the burden and trends of noncommunicable chronic disease(NCD) attributable to metabolic factors in China from 1990 to 2021.Methods:Data from the Global Burden of Diseases(GBD) 2021 database were utilized to describe changes in mortality and disability-adjusted life years(DALYs) of NCD in China from 1990 to 2021. Stratified analyses were conducted by age, sex, sociodemographic index(SDI), and related risk factors. Statistical analyses and predictions were conducted using the age-period-cohort model and the Nordpred model.Results:In 2021, the age-standardized mortality rate and age-standardized DALYs rate of NCD attributable to metabolic factors in China were 227.56 per 100 000 and 4 829.39 per 100 000, respectively. Their average annual percentage changes were -0.76%( P<0.001) and -0.77%( P<0.001). Overall, the burden decreased progressively with higher SDI levels. Analysis using the age-period-cohort model indicated reduced birth cohort and period effects for metabolic factor-attributable NCD, while age effects rose significantly. The minimum relative risk( RR) value was observed in the 15-19 age group( RR=0.01), and the maximum RR value occurred in the 95-99 age group( RR=996.86). The overall rising mortality trend indicated that age effects are the predominant driver at present. Projections estimate that by 2046, deaths from metabolic factor-attributable NCD in China will reach 8 189 563, with an age-standardized mortality rate of 236.95 per 100 000. Conclusions:China continues to face a substantial burden of NCD linked to metabolic factors, with older adults, males, and individuals with hypertension, diabetes, and prediabetes identified as key populations requiring targeted interventions.

AIM:To investigate the role of Ywhab in the growth of mouse B-cell lymphoma,and to explore the potential underlying mechanisms.METHODS:The correlation between Ywhab and human diffuse large B-cell lymphoma(DLBCL)was investigated by bioinformatics analysis.Infection with retroviral vector was performed to establish stable mouse B-cell lymphoma 38B9 cell line with overexpression of Ywhab gene,which was verified by RT-qPCR and Western blot.The impact of Ywhab overexpression on 38B9 cell growth both in vitro and in vivo was detected by cell counting,CCK-8 assay,and subcutaneous tumor loading experiments.The expression of apoptosis-related proteins was detected by RT-qPCR and Western blot.Co-immunoprecipitation combined with mass spectrometry(CoIP-MS)was employed to search for proteins specifically binding to Ywhab gene product 14-3-3β,which was confirmed by Western blot and molecu-lar docking analysis.RESULTS:The Ywhab gene exhibited low expression in DLBCL,which was correlated with poor clinical prognosis of DLBCL patients.Compared with normal mouse bone marrow B cells,Ywhab expression was low in 38B9 cells.Overexpression of Ywhab induced apoptosis of 38B9 cells both in vitro and in vivo,promoted the expression of pro-apoptotic proteins Puma,Noxa and Bax at both mRNA and protein levels,and inhibited the mRNA and protein expres-sion of anti-apoptotic protein Bcl2(P＜0.05).The 14-3-3β protein specifically bound to Hsp90aa1 and reduced Hsp90aa1 protein levels,thereby suppressing the growth of 38B9 cells.CONCLUSION:Ywhab promotes the apoptosis of B-cell lymphoma cells by binding to Hsp90aa1 and thereby inhibiting the function of Hsp90aa1.

ECG signals and sleep monitoring parameters complement each other and can be used for qualitative diagnosis of sleep apnea syndrome and cardio-related diseases.However,due to the limitations of the instrument volume and the detection environment,it is often challenging to integrate these two functions in practical applications.In this paper,a 12-lead dynamic electrocardiograph integrated with sleep monitoring is designed.The system's volume is reduced by combining the integrated ECG simulation front end with a miniature sensor.The system achieves the extraction,conditioning,and calculation of 12-lead ECG signals and sleep-related parameters and writes the data to a memory card in real time,which offers convenience for users and doctors in the diagnostic process.

AIM:This study aims to investigate the expression differences of the ultraconserved RNA gene cluster uc.102-uc.106 and its host gene Obg-like ATPase 1(OLA1)in various tissues of C57BL/6J mice.METHODS:Five healthy male C57BL/6J mice aged 8～10 weeks were selected,and under normal physiological conditions,various tis-sues and organs,including liver,testis,bone marrow,brain,kidney,blood,lung,colon,thymus,spleen,stomach,heart,lymph nodes and bladder,were collected.Simultaneously,magnetic bead separation technology was employed to extract bone marrow blood cells,including B cells,macrophages,erythroid precursor,and mature red blood cells.The ex-pression levels of uc.102-uc.106 and OLA1 mRNA were determined by RT-qPCR with GAPDH as the internal reference.RESULTS:The OLA1 mRNA exhibited high expression levels in the brain,lymph nodes,testis and thymus of C57BL/6J mice,and low expression levels in the liver,spleen,lung,colon and peripheral blood(P<0.05).The expression trend of the uc.102-uc.106 gene cluster was generally opposite to that of OLA1 mRNA,except for both exhibiting high expression levels in testicular tissue(P<0.05).In blood cells,the OLA1 mRNA and the uc.102-uc.106 gene cluster showed the highest expression levels in B cells and the lowest expression levels in mature red blood cells(P<0.05).CONCLU-SION:This study indicates that OLA1 gene and uc.102-uc.106 gene cluster are expressed in different tissues and blood cells of C57BL/6J mice.Notably,the high expression levels of OLA1 gene and uc.102-uc.106 gene cluster in the mouse testis suggest a potential association with male reproductive functions.