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.

This data article describes the"Typical Regional Activity Patterns"(TRAP)dataset,which is based on the Tackling Key Problems in Air Pollution Control Program.In order to explore the interaction between air pollution and physical activity,we collected activity patterns of 9,221 residents with different occupations and lifestyles for three consecutive days in typical regions(Jinan and Baoding)where air pollutant concentrations were higher than those in neighboring areas.The TRAP dataset consists of two aspects of information:demographic indicators(personal information,occupation,personal habits,and living situation)and physical activity pattern data(activity location and intensity);additionally,the exposure measures of physical activity patterns are included,which data users can match to various endpoints for their specific purpose.This dataset provides evidence for exploring the attributes of activity patterns of residents in northern China and for interdisciplinary researchers to develop strategies and measures for health education and health promotion.

ObjectiveTo explore new targets and herbal medicines of total ginsenosides in ameliorating alcoholic hepatitis （AH） by data mining and experimental validation and to provide new directions for the clinical treatment of AH. MethodGSE28619 was selected as the test set from the GEO database and GSE83148 and GSE103580 were selected as the validation sets. The limma package and weighted gene co-expression network analysis （WGCNA） were employed to identify the AH-related differentially expressed genes and modular genes， and Venny was used to extract the common genes. The protein-protein interaction （PPI） network was constructed and the enrichment analysis was carried out. The hub genes were further screened and evaluated for their diagnostic value. After validation with the datasets， new potential targets of AH and traditional Chinese medicine were predicted. Molecular docking between the targets and active ingredients of traditional Chinese medicine was performed， and the results were validated by experiments. Eight out of 48 SD rats were randomly selected into a blank group and received an equal amount of normal saline. The rest rats were subjected to modeling with ethanol by gavage and then randomized into low- （10 mg·kg^-1）， medium- （20 mg·kg^-1）， and high-dose （40 mg·kg^-1） total ginsenosides， model， and positive control （metadoxine， 117 mg·kg^-1） groups. After 3 weeks of gavage， serum samples were collected for the measurement of aspartate aminotransferase （AST） and alanine aminotransferase （ALT） levels， and liver samples were collected for hematoxylin-eosin （HE） staining. Western blot and Real-time PCR were employed to determine the protein and mRNA levels， respectively， of potential targets in the liver tissue. ResultData mining predicted the potential genes： Proto-oncogene FOS and collagen type Ⅰ alpha 2 （COL1A2）. Experimental validation showed that the liver injury was alleviated after drug administration compared with that after modeling. The serum AST and ALT levels were reduced after drug administration. The protein and mRNA levels of FOS were significantly up-regulated， while those of COL1A2 were down-regulated after drug administration. ConclusionTotal ginsenosides ameliorate HA via FOS and COL1A2.

Objective:To carry out cytogenetic and molecular genetic analysis for two infertile patients carrying rare small supernumerary marker chromosomes (sSMC).Methods:Two infertile patients who received reproductive and genetic counseling at CITIC Xiangya Reproductive and Genetic Hospital on October 31, 2018 and May 10, 2021, respectively were selected as the study subjects. The origin of sSMCs was determined by conventional G banding, fluorescence in situ hybridization (FISH) and copy number variation sequencing (CNV-seq). Microdissection combined with high-throughput whole genome sequencing (MicroSeq) was carried out to determine the fragment size and genomic information of their sSMCs. Results:For patient 1, G-banded karyotyping and FISH revealed that he has a karyotype of mos47, XY, del(16)(p10p12), + mar[65]/46, XY, del(16)(p10p12)[6]/48, XY, del(16)(p10p12), + 2mar[3].ish mar(Tel 16p-, Tel 16q-, CEP 16-, WCP 16+ ). CNV analysis has yielded a result of arr[GRCh37]16p12.1p11.2(24999364_33597595)×1[0.25]. MicroSeq revealed that his sSMC has contained the region of chromosome 16 between 24979733 and 34023115 (GRCh37). For patient 2, karyotyping and reverse FISH revealed that she has a karyotype of mos 47, XX, + mar[37]/46, XX[23].rev ish CEN5, and CNV analysis has yielded a result of seq[GRCh37]dup(5)(p12q11.2)chr5: g(45120001_56000000)dup[0.8]. MicroSeq results revealed that her sSMC has contained the region of chromosome 5 between 45132364 and 55967870(GRCh37). After genetic counseling, both couples had opted in vitro fertilization (IVF) treatment and preimplantation genetic testing (PGT). Conclusion:For individuals harboring sSMCs, it is vital to delineate the origin and structural characteristics of the sSMCs for their genetic counseling and reproductive guidance. Preimplantation genetic testing after microdissection combined with high-throughput whole genome sequencing (MicroSeq-PGT) can provide an alternative treatment for carrier couples with a high genetic risk.