Objective To observe brain function changes in insomnia disorder(ID)patients and therapeutic effect of repeated transcranial magnetic stimulation(rTMS)based on resting-state functional MRI(rs-fMRI).Methods Totally 37 patients with ID(ID group)and 20 healthy subjects(control group)were prospectively enrolled.The scores of sleep condition and psychological state scales were compared between groups,also within ID group before and after rTMS treatment.Brain regions with amplitude of low frequency fluctuations(ALFF)and regional homogeneity(ReHo)being significantly different between groups were evaluated based on brain rs-fMRI,and voxel-based resting-state functional connectivity(FC)analysis was performed in the above regions and the predefined regions of interest.Results Before treatment,Pittsburgh sleep quality index(PSQI),insomnia severity index(ISI),Epworth sleepiness score(ESS),Beck depression inventory(BDI)score and Beck anxiety inventory(BAI)score in ID group were all higher than those in control group(all P＜0.05).ALFF values and ReHo of the right median cingulate and paracingulate gyrus(Cingulum_Mid_R)were lower in ID group than those in control group(all FWE correctedP＜0.05).FC between Cingulum_Mid_R and the left anterior cingulate gyrus and cingulate gyrus(Cingulum_Ant_L)decreased,so did that between the left hippocampus(Hippocampus_L)and the right frontal gyrus(Frontal_Mid_R)(all FWE corrected P＜0.05).After rTMS,PSQI,ISI and ESS scores of ID patients decreased compared to those before treatment(all P＜0.05),but no significant change of the above neuroimaging indicators was detected(all FWE corrected P＞0.05).Conclusion ID caused synchronous decrease of Cingulum_Mid_R ALFF value and ReHo,as well as weakened FC between frontal cingulate gyrus and frontal with lobe limbic system.rTMS could improve sleep and mental state of ID patients,but its impact on neuroimaging needed further investigation.

Objective:To understand the current status, research hotspots, and future trends in the field of retinoblastoma (RB).Methods:Using the Web of Science Core Collection SSCI and SCI-Expanded as data sources, relevant RB literature from January 2015 to November 2024 was retrieved. The bibliometric analysis software CiteSpace 6.2.R6 was employed to perform visual analyses of countries/regions, institutions, journals, authors, co-cited references, and keywords.Results:A total of 5 042 relevant publications were identified. Annual publication numbers in this field consistently exceeded 400, peaking at 565 in 2021. The United States contributed the highest number of publications, with 1 600 articles (31.73%). Among institutions, Harvard University ranked first with 167 publications (3.31%). Abramson DH of Memorial Sloan Kettering Cancer Center published the most papers (75). Nature (United Kingdom) received the highest citation count (2 349). The highest betweenness centrality was observed for the United States (0.14) among countries/regions, Shanghai Jiao Tong University (0.21) among institutions, and Berry JL of Children’s Hospital Los Angeles (0.21) at the author level. Co-citation and keyword analyses revealed that RB research hotspots are shifting from a focus on basic molecular mechanisms, such as the cell cycle and RB protein, toward advanced therapeutic strategies, such as intra-arterial chemotherapy and nanoparticle-based drug delivery. Emerging keywords such as complexity, chemoresistance and carboplatin indicate that future studies will focus on optimising diagnosis and treatment. Conclusions:From 2015 to 2024, RB research displayed a sustained growth trend, with the United States and its institutions and scholars contributing the most publications. The research focus has shifted from the exploration of molecular mechanisms to the optimization of precise treatment strategies, among which the application of nanotechnology and the resolution of drug resistance mechanisms will become key breakthrough directions.

Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.

Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.

Objective To observe brain function changes in insomnia disorder(ID)patients and therapeutic effect of repeated transcranial magnetic stimulation(rTMS)based on resting-state functional MRI(rs-fMRI).Methods Totally 37 patients with ID(ID group)and 20 healthy subjects(control group)were prospectively enrolled.The scores of sleep condition and psychological state scales were compared between groups,also within ID group before and after rTMS treatment.Brain regions with amplitude of low frequency fluctuations(ALFF)and regional homogeneity(ReHo)being significantly different between groups were evaluated based on brain rs-fMRI,and voxel-based resting-state functional connectivity(FC)analysis was performed in the above regions and the predefined regions of interest.Results Before treatment,Pittsburgh sleep quality index(PSQI),insomnia severity index(ISI),Epworth sleepiness score(ESS),Beck depression inventory(BDI)score and Beck anxiety inventory(BAI)score in ID group were all higher than those in control group(all P＜0.05).ALFF values and ReHo of the right median cingulate and paracingulate gyrus(Cingulum_Mid_R)were lower in ID group than those in control group(all FWE correctedP＜0.05).FC between Cingulum_Mid_R and the left anterior cingulate gyrus and cingulate gyrus(Cingulum_Ant_L)decreased,so did that between the left hippocampus(Hippocampus_L)and the right frontal gyrus(Frontal_Mid_R)(all FWE corrected P＜0.05).After rTMS,PSQI,ISI and ESS scores of ID patients decreased compared to those before treatment(all P＜0.05),but no significant change of the above neuroimaging indicators was detected(all FWE corrected P＞0.05).Conclusion ID caused synchronous decrease of Cingulum_Mid_R ALFF value and ReHo,as well as weakened FC between frontal cingulate gyrus and frontal with lobe limbic system.rTMS could improve sleep and mental state of ID patients,but its impact on neuroimaging needed further investigation.

Objective:To understand the current status, research hotspots, and future trends in the field of retinoblastoma (RB).Methods:Using the Web of Science Core Collection SSCI and SCI-Expanded as data sources, relevant RB literature from January 2015 to November 2024 was retrieved. The bibliometric analysis software CiteSpace 6.2.R6 was employed to perform visual analyses of countries/regions, institutions, journals, authors, co-cited references, and keywords.Results:A total of 5 042 relevant publications were identified. Annual publication numbers in this field consistently exceeded 400, peaking at 565 in 2021. The United States contributed the highest number of publications, with 1 600 articles (31.73%). Among institutions, Harvard University ranked first with 167 publications (3.31%). Abramson DH of Memorial Sloan Kettering Cancer Center published the most papers (75). Nature (United Kingdom) received the highest citation count (2 349). The highest betweenness centrality was observed for the United States (0.14) among countries/regions, Shanghai Jiao Tong University (0.21) among institutions, and Berry JL of Children’s Hospital Los Angeles (0.21) at the author level. Co-citation and keyword analyses revealed that RB research hotspots are shifting from a focus on basic molecular mechanisms, such as the cell cycle and RB protein, toward advanced therapeutic strategies, such as intra-arterial chemotherapy and nanoparticle-based drug delivery. Emerging keywords such as complexity, chemoresistance and carboplatin indicate that future studies will focus on optimising diagnosis and treatment. Conclusions:From 2015 to 2024, RB research displayed a sustained growth trend, with the United States and its institutions and scholars contributing the most publications. The research focus has shifted from the exploration of molecular mechanisms to the optimization of precise treatment strategies, among which the application of nanotechnology and the resolution of drug resistance mechanisms will become key breakthrough directions.

Lipids,including fats(triglycerides)and lipoids(phospholipids and sterols),not only serve as an energy source for the body but also play a pivotal role throughout the reproductive process,particularly in the establishment and maintenance of early pregnancy.This encompasses the regulate of early embryonic development and uterine tolerance,and the facilitation of embryo implantation.Given the diversity of lipids,this review focuses on extensively studied lipid mediators such as polyunsaturated fatty acids,endocannabinoids,prostaglandins,lysophosphatidic acid,sphingolipids and steroid hormones.It systematically elaborates on the regulatory effects of fatty acid,phospholipid,and cholesterol metabolism on the formation of endometrial receptivity and embryo implantation,as well as the potential underlying mechanisms.The review aims to provide new insights and feasible intervention approaches for predicting and improving the outcomes of natural pregnancy and/or assisted reproductive technology.

Objective:To investigate the predictive performance of triglyceride and triglyceride glucose (TyG) index in the first trimester for the onset of gestational diabetes mellitus (GDM).Methods:Pregnant women who visited Beijing Chaoyang Maternal and Child Health Care Hospital and Beijing Haidian Maternal and Child Health Care Hospital from 2019 to 2022 were prospectively included. Concurrently, 78 healthy non-pregnant women who visited the Department of Endocrinology of Peking Union Medical College Hospital were included. The clinical characteristics and laboratory biomarkers including fasting blood glucose and blood lipid profiles were collected at the first visit in early pregnancy. Oral glucose tolerance test (OGTT) was performed at 24-28 weeks of gestation for GDM screening. Multivariate Logistic regression analysis was used to determine the association between biomarkers in early pregnancy and the risk of GDM. The receiver operating characteristic curve was used to evaluate the predictive performance and to identify the optimal cut-off value of triglyceride and TyG index in the first trimester for the risk of GDM.Results:A total of 1 677 pregnant women were included in this study, and the prevalence of GDM in our cohort was 19.6%. Compared with women who did not develop GDM, women with GDM showed an older maternal age, higher pre-pregnancy body mass index, and increased levels of laboratory biomarkers including fasting blood glucose, fasting insulin, total cholesterol, triglyceride, low-density lipoprotein cholesterol, TyG index, and Homeostasis Model Assessment of Insulin Resistance ( P<0.001). Logistic regression analysis showed that both triglyceride and TyG index in the first trimester were independent risk factors for GDM. The optimal cut-off values of triglyceride and TyG index for predicting the risk of GDM were 0.93 mmol/L and 8.10, respectively. The predictive performance can be further improved if maternal age and pre-pregnancy BMI are included. Conclusion:Triglyceride and TyG index in early pregnancy are closely associated with the risk of GDM, and can be used as early predictors of GDM.

To understand the pathogenicity,virulence genes,drug resistance genes,and drug resistance of Staphylococcus aureus isolated from yaks in some areas of Lhasa and Nagqu City,55 yak nasal swab samples were analyzed for S.aureus in this study.The cocci were isolated and identified,and the carriage of virulence genes and drug resistance genes,as well as the pathogenicity and drug sensitivity of the isolated S.aureus strains,were detected with PCR,artificially infected mice,and the K-B drug susceptibility disk method.Seven strains of S.aureus were isolated from the 55 yak nasal swab samples,with an iso-lation rate of 12.73％.The isolated strains were all pathogenic to mice,with a fatality rate exceeding 60％.These seven strains of S.aureus carried three drug resistance genes(tetM,tet,and mecA)and six virulence genes(seb,sec,clfA,hla,hlb,and nuc).The detection rate of the three drug resistance genes was 100％,whereas the detection rate of the six virulence genes in the isolates ranged from 83.33％to 100％.The resistance rates of the isolated strains to penicillin,ampicillin,and cotrimox-azole reached 85.71％-100％,whereas the resistance rates to tetracycline and ceftazidime were both 28.57％.Thus,yaks in Lhasa and Nagqu cities were found to be infected by S.aureus strains carrying various drug-resistance genes and virulence genes.These strains were highly pathogenic and showed sensi-tivity to most antibacterial drugs.These findings may serve as a reference for treating S.aureus infection in yaks in the cities of Lhasa and Nagqu.