Background:To systematically evaluate the efficacy and safety of activating blood and resolving stasis in patients with IgA nephropathy.Methods:From inception to May 2022,databases including PubMed,Embase,the Cochrane...Background:To systematically evaluate the efficacy and safety of activating blood and resolving stasis in patients with IgA nephropathy.Methods:From inception to May 2022,databases including PubMed,Embase,the Cochrane Library,Web of Science,WanFang database,Chinese Biomedical Database,VIP,and China National Knowledge Infrastructure were searched for randomized controlled trials about enhancing blood circulation and removing stasis for IgA nephropathy.For the articles that satisfied the requirements,quality assessment and meta-analysis were done.Results:Seventeen randomized controlled trials with a total of 1653 patients were included.Meta-analysis showed that activating blood and resolving stasis could increase therapeutic effectiveness(risk ratio(RR)=-0.47,95%confidence interval(CI)(-0.37,-0.2),P=0.0006)and decrease levels of serum creatinine(RR=-0.47,95%CI(-0.37,-0.2),P=0.0006),urea nitrogen(RR=0.85,95%CI(1.44,0.26),P=0.005),24-hour urinary protein quantification(RR=1.6,95%CI(2.44,0.95).P=0.00001),and urine red blood cell count(RR=1.7,95%CI(2.57,0.82),P=0.0001).There was no significant difference between the two groups in terms of security(RR=0.6,95%CI(0.36,1.01),P=0.05).Conclusion:Western medicine combined activating blood and resolving stasis is more efficient than Western medicine therapy alone in treating IgA nephropathy,but it still needs to be supported by additional large-scale,multi-center randomized controlled clinical trials due to the poor quality of the included trials.展开更多
Background:The ORAI family of proteins,comprising ORAI1,ORAI2,and ORAI3,plays a crucial role in the regulation of intracellular calcium signaling,which is essential for various cellular functions including proliferati...Background:The ORAI family of proteins,comprising ORAI1,ORAI2,and ORAI3,plays a crucial role in the regulation of intracellular calcium signaling,which is essential for various cellular functions including proliferation,differentiation,and apoptosis.Dysregulation of calcium signaling has been implicated in cancer pathogenesis,influencing tumor progression,metastasis,and resistance to therapy.This study aims to provide a comprehensive analysis of the ORAI family members across a broad spectrum of cancers.Methods:Publicly available datasets from The Cancer Genome Atlas and the Gene Expression Omnibus were utilized.RNA sequencing data,mutation profiles,copy number variation data,and methylation data across different cancer types were analyzed.Differential expression analysis,survival analysis,copy number variation analysis,mutation analysis,methylation analysis,immune cell infiltration analysis using the Cibersort algorithm,and gene set enrichment analysis were conducted using R software.Results:ORAI1 and ORAI3 were significantly upregulated in glioblastoma multiforme,whereas ORAI2 was notably downregulated in kidney chromophobe and pancreatic adenocarcinoma.ORAI2 exhibited higher mutation rates and copy number gains in multiple cancers compared to ORAI1 and ORAI3.The hypermethylation of ORAI2 in head and neck squamous cell carcinoma,esophageal carcinoma,and glioblastoma multiforme negatively correlated with its gene expression.ORAI1 and ORAI3 expression positively correlated with regulatory T cells infiltration,whereas ORAI2 showed a negative correlation with CD8^(+)T cell infiltration.Gene set enrichment analysis revealed that ORAI1 and ORAI2 are associated with immune-related pathways,while ORAI3 is linked to MYC targets and oxidative phosphorylation.Conclusion:Our pan-cancer analysis reveals significant differential expression,genomic alterations,and epigenetic regulation of ORAI family members across various cancers.ORAI1 and ORAI3 appear to promote an immunosuppressive environment,whereas ORAI2 may function as a tumor suppressor in certain contexts.These findings provide a foundation for future research targeting ORAI-mediated pathways in cancer therapy and highlight the therapeutic potential of ORAI proteins.展开更多
Background:Cognitive function is a current research hotspot,residence may be related to differences in cognitive function,and the mediating role of leisure activities are limited in Chinese research.This study used le...Background:Cognitive function is a current research hotspot,residence may be related to differences in cognitive function,and the mediating role of leisure activities are limited in Chinese research.This study used leisure activities as a mediating variable to investigate the mediating role of leisure activity between place of residence(city-town-rural)and cognitive function among Chinese older,this is where the innovation of the article comes in.Methods:Using cross-sectional data from the 2018 Chinese Longitudinal Healthy Longevity Survey,Pearson correlation analyses were employed to examine the relationships among various indicators.Mediation analyses were conducted using the SPSS PROCESS macro program,version 3.5,written by Hayes,to explore the mediating effects of leisure activity between place of residence and cognitive function in older adults.Results:A total of 10955 older adults were included in this study,with a mean age of(84.23±11.57)years.Among them,2739(24.8%)lived in the city,3627(33.1%)in town,and 4615(42.1%)in rural areas;their leisure activity score was(5.34±3.77),and their cognitive function score was(24.69±6.65).Place of residence,leisure activities,and cognitive function were significantly correlated(P<0.01).Using city as a reference,place of residence is negatively associated with cognitive function,and place of residence not only had a direct effect on cognitive function in older adults:town-cognitive function(effect=–0.399;95%confidence interval(CI)=(–0.685,–0.113));rural-cognitive function(effect=–0.42;95%CI=(–0.698,–0.141)).There were also indirect effects on cognitive function through the pathway of leisure activity:town-leisure activity-cognitive function(effect=–0.17;95%CI=(–0.246,–0.1)),rural-leisure activity-cognitive function(effect=–0.199;95%CI=(–0.272,–0.13)).Conclusion:Leisure activities play a partially mediating role between the impact of place of residence and cognitive function in Chinese older adults,and it is vital to pay attention to the impact of place of residence on the cognitive function of older adults in various aspects,and to increase the participation rate of older adults in leisure activities,which is beneficial to the prevention of cognitive decline and the protection of older adult’s physical and mental health.展开更多
Background:The Fascin(FSCN)family,comprising actin-bundling proteins,plays vital roles in cytoskeletal reorganization and cell migration.FSCN1,FSCN2,and FSCN3 are implicated in cancer progression through cell motility...Background:The Fascin(FSCN)family,comprising actin-bundling proteins,plays vital roles in cytoskeletal reorganization and cell migration.FSCN1,FSCN2,and FSCN3 are implicated in cancer progression through cell motility,invasion,and metastasis.However,their specific contributions across different cancer types remain unclear.Methods:We conducted a pan-cancer bioinformatics analysis of FSCN genes using data from The Cancer Genome Atlas.This included differential expression patterns,copy number variations(CNVs),mutations,methylation status,and correlations with tumor mutational burden,microsatellite instability,and immune checkpoint molecule expression.Differential expression was analyzed using DESeq2,while CNV and mutation analyses utilized GISTIC2.0 and MuTect2.Methylation data were assessed using the Illumina Human Methylation 450K BeadChip.Results:FSCN1 and FSCN2 showed significant differential expression in multiple cancers,often correlating with poor prognosis.FSCN3 exhibited less variability but a protective role in certain contexts.CNV analysis indicated frequent gene gains in FSCN genes,correlating with increased expression.FSCN3 had a higher mutation rate,suggesting genetic instability.Methylation analysis showed hypomethylation of FSCN1 and FSCN2 in tumors compared to normal tissues,whereas FSCN3 had minor changes.Significant associations were found between FSCN gene expression and tumor mutational burden,microsatellite instability,and immune checkpoint molecules,suggesting their involvement in tumor immunogenicity and the immune microenvironment.Conclusions:This pan-cancer analysis highlights the multifaceted roles of FSCN genes in cancer biology,emphasizing their potential as biomarkers and therapeutic targets.FSCN1 and FSCN2 are associated with poor prognosis and aggressive phenotypes,while FSCN3 shows protective roles in specific contexts.These findings offer new avenues for cancer diagnosis and treatment,particularly in personalized medicine.Future studies should validate these findings and explore the underlying mechanisms to fully harness the clinical potential of FSCN family proteins in oncology.展开更多
Background:The relationship between tea intake(TI)and sleep disorders(SDs)has been a topic of interest for some time,but there remains a lack of data showing a causal relationship.We aimed to use a two-sample Mendelia...Background:The relationship between tea intake(TI)and sleep disorders(SDs)has been a topic of interest for some time,but there remains a lack of data showing a causal relationship.We aimed to use a two-sample Mendelian randomization study to determine whether there is a causal link between TI and SDs.Methods:We collected data regarding TI,with a focus on green tea intake(GTI),herbal tea intake(HTI),and rooibos tea intake(RTI);and data regarding SDs and insomnia from genome-wide association studies.We analyzed these data using an inverse variance-weighted two-sample Mendelian randomization study,by means of the TwoSampleMR package in R4.2.3 software.Results:We found no genetic causal relationships of TI,GTI,HTI,or RTI with insomnia.The odds ratios(ORs)for these relationships were as follows:TI:OR=0.61,95%confidence interval(CI):0.29–1.28;GTI:OR=1.04,95%CI:0.95–1.14;HTI:OR=0.98,95%CI:0.82–1.17;and RTI:OR=1.04,95%CI:0.99–1.09.In addition,there were no genetic causal relationships of TI,GTI,HTI,or RTI with SDs.The OR values for these relationships were as follows:TI:OR=0.6,95%CI:0.34–1.06;GTI:OR=1,95%CI:0.93–1.07;HTI:OR=0.89,95%CI:0.66–1.2;and RTI:OR=1.02,95%CI:0.98–1.06.Conclusion:We found no causal relationships of TI with SDs or insomnia,irrespective of the type of tea consumed.However,additional Mendelian randomization studies are required to further explore the relationships of the timing and quantity of tea consumption with SDs and insomnia.展开更多
Background:Osteochondral lesions of the talus(OLTs)are a significant challenge for foot and ankle specialists,which could cause pain and decrease patient function.Researchers can use the findings of this study to shap...Background:Osteochondral lesions of the talus(OLTs)are a significant challenge for foot and ankle specialists,which could cause pain and decrease patient function.Researchers can use the findings of this study to shape future directions for research by exploring global trends and hotspots in OLT.Methods:Web of Science Core Collection was used to retrieve literature related to OLT between 2004 and 2021.This report covers the current state of OLTs,such as publications,journals,trends,hotspots,and the performances of relevant countries,institutions and authors.The co-citation analysis,the coauthorship analysis,the cooccurrence analysis,and the bibliographic coupling analysis were conducted with the Bibliometrix R package,VOSviewer v1.6.10.0,and CiteSpace 5.8.R3.Results:During an 18-year review,717 articles and 76 review articles on OLT published from 2004 to 2021 were reviewed.The USA has made the largest contribution to the OLT-related literature,and a significant contribution has been made by Kennedy JG(48/6.05%)and van Dijk CN(30/3.78%).In terms of total link strength,Foot&Ankle International was the leading journal.Analysis showed that the global research hotspots of OLTs focused on the pathogenesis,diagnosis,clinical research,and surgical treatment of OLT.It would be significant to pay close attention to future research on osteochondral autograft transplantation and management,surgery,multidisciplinary integration and mechanisms of OLT,and its related diseases.Conclusions:The study provides information about the current status and hotspots of research in the domain of OLT over the past 18 years that will assist researchers in identifying potential perspectives on hot topics and research frontiers.展开更多
Background:Hepatocellular carcinoma(HCC)is the fourth leading cause of cancer-related deaths globally.Splicing factor proline and glutamine-rich(SFPQ)is a multifunctional protein that controls various biological funct...Background:Hepatocellular carcinoma(HCC)is the fourth leading cause of cancer-related deaths globally.Splicing factor proline and glutamine-rich(SFPQ)is a multifunctional protein that controls various biological functions.As a potential therapeutic target and a promising prognostic indicator,the potential effects and processes of SFPQ in HCC require further investigation.Methods:The RNA sequencing data were obtained from the Gene Expression Omnibus,International Cancer Genome Consortium,and The Cancer Genome Atlas databases to analyze SFPQ expression and differentially expressed genes(DEGs).We utilized the LinkedOmics database to identify co-expressed genes.A Venn diagram was constructed to determine the overlapping genes between the DEGs and the co-expressed genes.Functional enrichment analysis was performed on the overlapping genes and DEGs.Furthermore,our study involved functional enrichment analysis,a protein-protein interaction network analysis,and an analysis of immune cell infiltration.The cBioPortal and Tumor Immune Single-cell Hub were utilized to investigate the genetic alterations of SFPQ and the single-cell transcriptome visualization of the tumor microenvironment.A ceRNA network was established with the assistance of the ENCORI website.Finally,we elucidated the clinical significance of SFPQ in HCC by employing Kaplan-Meier survival analysis,univariate and multivariate Cox regression,and prognostic nomogram models.Results:The expression of SFPQ in HCC tissues was significantly elevated compared to normal tissues.GSEA results indicated that increased expression of SFPQ was associated with pathways related to HCC.The ceRNA network,including SFPQ,hsa-miR-101-3p,AC023043.4,AC124798.1,AC145207.5,and GSEC,was constructed with the assistance of ENCORI.High SFPQ expression was related to a poor prognosis in HCC and its subtypes.Univariate and multivariate Cox regression analysis showed that elevated SFPQ expression is an independent predictive factor.Conclusions:The overexpression of SFPQ may serve as a potential prognostic biomarker,indicating a poor prognosis in HCC.展开更多
Background:Traditional Chinese medicine(TCM)is commonly used for the diagnosis and treatment of insomnia,with tongue diagnosis being particularly important.The aim of our study was to develop and validate a novel tong...Background:Traditional Chinese medicine(TCM)is commonly used for the diagnosis and treatment of insomnia,with tongue diagnosis being particularly important.The aim of our study was to develop and validate a novel tongue imaging-based radiomics(TIR)method for accurately diagnosing insomnia severity.Methods:This two-center analysis prospectively enrolled 399 patients who underwent tongue imaging between July and October 2021 and divided them into primary and validation cohorts by study center.Here,we referred to the Insomnia Severity Index(ISI)standard and the degree of insomnia was evaluated as absent,subthreshold,moderate,or severe.For developed the TIR diagnostic tool,a U-Net algorithm was used to segment tongue images.Subsequently,seven imaging features were selected from the extracted high-throughout radiomics features using the least absolute shrinkage and selection operator algorithm.Then,the final radiomics model was developed in the primary cohort and tested in the independent validation cohort.Finally,we assessed and compared the diagnostic performance differences between TCM tongue diagnosis and our TIR diagnostic tool with the ISI gold standard.The confusion matrix was calculated to evaluate the diagnostic performance.Results:Seven tongue imaging features were selected to build the TIR tool,with showing good correlations with the insomnia degree.The TIR method had an accuracy of 0.798,a macro-average sensitivity of 0.78,a macro-average specificity of 0.906,a weighted-average sensitivity of 0.798,and a weighted specificity of 0.916,showing a significantly better performance compared to the average performance of three experienced TCM physicians(mean accuracy of 0.458,P<0.01).Conclusions:The preliminary study demonstrates the potential application of TIR in the diagnosis of insomnia degree and measurement of sleep health.The integration of quantitative imaging analysis and machine learning algorithms holds promise for advancing both of TCM and precision sleep medicine.展开更多
Background:To explore the effective chemical constituents of Feiduqing formula for prevention and treatment of coronavirus disease 2019(COVID-19).Methods:The compounds and action targets of twelve herbal medicines in ...Background:To explore the effective chemical constituents of Feiduqing formula for prevention and treatment of coronavirus disease 2019(COVID-19).Methods:The compounds and action targets of twelve herbal medicines in Feiduqing formula were collected via Traditional Chinese Medicine Systems Pharmacology Database and Analytic Platform.The genes corresponding to the targets were queried through the UniProt database.The“herbal medicine-ingredient-target”network was established by Cytoscape software.The Gene Ontology function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed by Database for Annotation,Visualization and Integrated Discovery.Molecular docking was used to analyze the binding force of core active compounds of Feiduqing formula with PTGS2,HSP90AA1,SARS-CoV-23CL hydrolase and angiotensin converting enzyme II(ACE2).Results:The“herbal medicine-ingredient-target”network included 434 nodes and 1948 edges,including 222 components such as quercetin,kaempferol,luteolin,etc.The key targets are PTGS2,HSP90AA1,PTGS1,ESR1,AR,NOS2,etc.Gene Ontology function enrichment analysis revealed 2530 items,including RNA polymerase II-specific,response to oxidative stress,transcription factor activity,etc.Kyoto Encyclopedia of Genes and Genomes pathway enrichment screened 169 signal pathways,including Human cytomegalovirus infection,Kaposi sarcoma-associated herpesvirus infection,Hepatitis B,Hepatitis C,IL-17,TNF,etc.The results of molecular docking showed that quercetin,luteolin,β-sitosterol,stigmasterol and other core active compounds have a certain degree of affinity with PTGS2,HSP90AA1,SARS-CoV-23CL hydrolase and ACE2.Conclusion:The active compounds of Feiduqing formula may have a therapeutic effect on COVID-19 pneumonia through the action on PTGS2,HSP90AA1,SARS-CoV-23CL hydrolase and ACE2,and regulating many signaling pathways.展开更多
Background:Stroke is one of the most dangerous and life-threatening disease as it can cause lasting brain damage,long-term disability,or even death.The early detection of warning signs of a stroke can help save the li...Background:Stroke is one of the most dangerous and life-threatening disease as it can cause lasting brain damage,long-term disability,or even death.The early detection of warning signs of a stroke can help save the life of a patient.In this paper,we adopted machine learning approaches to predict strokes and identify the three most important factors that are associated with strokes.Methods:This study used an open-access stroke prediction dataset.We developed 11 machine learning models and compare the results to those found in prior studies.Results:The accuracy,recall and area under the curve for the random forest model in our study is significantly higher than those of other studies.Machine learning models,particularly the random forest algorithm,can accurately predict the risk of stroke and support medical decision making.Conclusion:Our findings can be applied to design clinical prediction systems at the point of care.展开更多
Background:Piwi-interacting RNAs(piRNAs)are a type of non-coding RNAs,initially identified in germ cells in 2006,known to bind to the Piwi family proteins.Accumulating studies indicate their importance in genome stabi...Background:Piwi-interacting RNAs(piRNAs)are a type of non-coding RNAs,initially identified in germ cells in 2006,known to bind to the Piwi family proteins.Accumulating studies indicate their importance in genome stability,epigenetics regulation,germ cell differentiation,and tumor development.Despite growing interest in piRNA research,there is a lack of comprehensive bibliometric studies on the subject.This study aims to analyze piRNA research trends from 2006 to 2023.Methods:The literature regarding piRNA was sourced from the Web of Science on April 25,2023.VOSviewer,CiteSpace and a bibliometric online website(https://bibliometric.com/app)were employed to perform bibliometric analysis.Network maps were constructed to evaluate the collaborations among countries,institutions,authors,journals,references,keywords,and research hot pots.Results:In this study,2549 literature were published across 464 countries and 6921 institutions,comprising 2010 articles and 539 reviews.The United States led in publication output(n=1011,39.66%),followed by China(635,24.91%).The University of Tokyo had the most publications among all institutions(n=100,3.92%),followed by the Chinese Academy of Sciences(n=86,3.37%).Among 631 published journals,Nucleic Acids Research was the most published journal(n=83,3.26%).Siomi Mikiko C published the most articles(n=58),with Aravin Alexei A as the most co-cited author.Analysis of term co-occurrence unveiled three highly interconnected clusters,including“piRNA biogenesis and function”,“cancer and regulation”,as well as“protein and species”.The research focus has transferred from male reproductive development to tumor progression.Conclusion:This bibliometric analysis offered a thorough overview of the current state of piRNA research,deepening understanding of the progress in this field over the last 17 years and providing a valuable reference for scholars engaged in piRNA studies.展开更多
Background:Septic shock is a common systemic inflammatory response syndrome for critical patients in the intensive care unit.Ulinastatin is currently used for the treatment of septic shock.Our study sought to evaluate...Background:Septic shock is a common systemic inflammatory response syndrome for critical patients in the intensive care unit.Ulinastatin is currently used for the treatment of septic shock.Our study sought to evaluate the efficacy and safety of ulinastatin in the treatment of septic shock patients.Methods:Three English databases(Embase,Medline,and Cochrane Library)and four Chinese databases(China National Knowledge Infrastructure,Wanfang data,SinoMed,and VIP)were searched for published randomized controlled trials.Stata 16.0 software was used to conduct the meta-analysis.Results:A total of 48 articles were included(Chinese article 47,1 in English).The results show that the treatment of ulinastatin could reduce mortality(risk ratio=0.63,95%confidence interval(CI)(0.55,0.72)),multiple organ dysfunction syndrome(risk ratio=0.6,95%CI(0.53,0.68)),length of intensive care unit stay(mean difference(MD)=-3.92,95%CI(-4.65,-3.18)),length of hospital stay(MD=-4.39,95%CI(-6.63,-2.15))and decrease Acute Physiology and Chronic Health Evaluation II score(MD=-4.55,95%CI(-5.63,-3.47))and Sequential Organ Failure Assessment score(MD=-2.02,95%CI(-2.59,-1.44))with P<0.001.Moreover,it lowers TNF-α(standardized mean difference(SMD)=-1.78,95%CI(-2.24,-1.32)),Interleukin-6(SMD=-1.17,95%CI(-1.55,-0.8)),C reactive protein(SMD=-1.49,95%CI(-1.99,-0.99)),hypersensitive C-reactive protein(SMD=-1.9,95%CI(-2.87,-0.94))and procalcitonin(SMD=-0.89,95%CI(-1.12,-0.67))levels in the body.Conclusions:Available evidence shows that ulinastatin reduces case mortality rate,multiple organ dysfunction syndrome,length of intensive care unit stay,and length of hospital stay and decreases Acute Physiology and Chronic Health Evaluation II score and Sequential Organ Failure Assessment score.Moreover,it also lowers TNF-α,Interleukin-6,C reactive protein,hypersensitive C-reactive protein,and procalcitonin levels in the body.展开更多
Background:Type 2 diabetes(T2D)has already become a global pandemic.As its simple,rapid,economical,and relatively non-invasive,metabolic markers have become a method for T2D diagnosis.However,region,race,and diet all ...Background:Type 2 diabetes(T2D)has already become a global pandemic.As its simple,rapid,economical,and relatively non-invasive,metabolic markers have become a method for T2D diagnosis.However,region,race,and diet all affect the metabolism of the body.The purpose of current study is to explore the differences of metabolites in T2D patients from regions.Methods:We recruited 103 T2D patients in two clinical centers,including 52 T2D patients from Beijing(T2D_(B))and 51 T2D patients from Kaifeng(T2D_(K)).The serum samples from T2D patients were analyzed using high-resolution mass spectrometer.After screened using univariate and multivariate analysis,the differential metabolites were identified.Moreover,to reveal biological information,we performed pathway analysis with the differential metabolites.Results:Thirty-six differential metabolites were identified,including 16 metabolites were higher concentrations while 20 metabolites were lower concentrations in the serum of T2D_(B) patients than T2D_(K) patients.There were higher serum concentrations of L-phenylalanine,4-methyl-2-oxovaleric acid,L-carnitine,decanoylcarnitine,9-decenoylcarnitine and sphinganine in T2D_(B) patients,in which decanoylcarnitine in T2D_(B) patients was up to 35-fold higher than T2D_(K) patients.While there were lower concentrations of L-valine,L-isoleucine,arachidonic acid,oleic acid,16-hydroxyhexadecanoic acid,lysophosphatidylcholine(18:0)and 1-Phenylethylamine in T2D_(B) patients,in which 1-phenylethylamine in T2D_(B) patients was decreased to 0.45-fold lower than T2D_(K) patients.The reason for the differences might be that phosphatidylethanolamine biosynthesis,phosphatidylcholine biosynthesis,valine,leucine and isoleucine degradation,and beta-oxidation of very long chain fatty acids were different in T2D_(B) patients and in T2D_(K) patients.Conclusion:Metabolites from different pathways are independently related to regions,providing valuable insight and potential for the diagnosis and treatment of T2D.展开更多
Background:Kawasaki disease is an acute immune vasculitis,which is more common in children under 5 years old.Kawasaki disease mainly affects the cardiovascular system,especially the coronary arteries.Once coronary art...Background:Kawasaki disease is an acute immune vasculitis,which is more common in children under 5 years old.Kawasaki disease mainly affects the cardiovascular system,especially the coronary arteries.Once coronary artery damage occurs,it can significantly impact the patient’s prognosis.Therefore,in some countries and regions,Kawasaki disease has become a common acquired heart disease.Methods:First,univariate analysis was conducted on each predictive factor.Then,Least Absolute Shrinkage and Selection Operator and random forest algorithms were used to screen all predictive factors,and the prediction model was evaluated using receiver operating characteristic curve,calibration curve,and Decision Curve Analysis.Results:This study,based on data from 228 Kawasaki disease patients,utilized a random forest model to identify four predictive factors:white blood cell count,creatine kinase isoenzyme MB,albumin,and neutrophil count.These factors were used to construct a prediction model,which achieved an area under the curve of 0.743.Conclusions:We developed a forest plot based on white blood cell count,creatine kinase isoenzyme MB,albumin,and neutrophil count to effectively predict the occurrence of coronary artery lesions in Kawasaki disease.展开更多
Background:To analyze the epidemiological characteristics of varicella epidemics in Chongqing Municipality from 2014 to 2021,and to provide a scientific basis for the formulation of varicella prevention and control me...Background:To analyze the epidemiological characteristics of varicella epidemics in Chongqing Municipality from 2014 to 2021,and to provide a scientific basis for the formulation of varicella prevention and control measures.Methods:Data on the incidence of varicella outbreaks and vaccination data in Chongqing from 2014 to 2021 were collected through the China Disease Control and Prevention Information System and statistically analyzed using descriptive epidemiological methods.Results:From 2014 to 2021,213,715 cases of varicella were reported in Chongqing Municipality,with an average annual incidence rate of 86.26/100,000,with a statistically significant difference(χ^(2)=24,972.069,P<0.001);varicella incidence is seasonal,with peaks in May/June and October/December each year,presenting a“double-peak distribution”.The average annual incidence rate of varicella in municipal districts was 90.74/100,000,which was higher than that of counties 69.62/100,000 and autonomous counties 84.04/100,000;the average annual incidence rate of varicella in males was 89.37/100,000,and in females,82.22/100,000,with the difference not being statistically significant;the age of onset of the disease was mainly in the group of people under 15 years of age,with a total of 190,021 cases reported(88.9%),with 5-9 years old(35.7%)as the high incidence age group.The incidence occupation was dominated by students in 133,733 cases(62.6%).Conclusion:The overall varicella epidemic in Chongqing is on the rise,and has obvious seasonal,regional and population distribution characteristics.The prevention and control of varicella epidemic should be strengthened,the publicity of varicella vaccine should be increased,and it is recommended that varicella vaccine should be included in the national immunization program.展开更多
Background:The prevalence of multimorbidity is increasing,with a notable shift towards younger age groups.Methods:Convenience sampling was employed to select 15,988 young and middle-aged adults in Chongqing as the stu...Background:The prevalence of multimorbidity is increasing,with a notable shift towards younger age groups.Methods:Convenience sampling was employed to select 15,988 young and middle-aged adults in Chongqing as the study population.The Apriori algorithm was used to identify the multimorbidity patterns within this population,while an unordered binary logistic regression model was applied to assess the association between sleep,diet and the risk of multimorbidity.Results:The study population had an average age of 39.2±10.1 years.Apriori association rules revealed that the most prevalent binary chronic disease multimorbidity pattern was dyslipidaemia+hypertension(14.78%),while the most common ternary chronic disease multimorbidity pattern was diabetes+dyslipidaemia+hypertension(9.66%).The logistic regression analysis revealed that a lower rating of sleep quality was associated with an elevated risk of multimorbidity(odds ratio(OR)=1.17,95%confidence interval(CI):1.01,1.36).Individuals who adhere to a meat-based diet(OR=1.45,95%CI:1.25,1.68)and those with elevated salt intake(OR=1.22,95%CI:1.01,1.47)were also observed to have an increased risk of multimorbidity.Additionally,a greater likelihood of multimorbidity was observed among those following a spicy diet(OR=1.3,95%CI:1.11,1.52)and consuming more oil(OR=1.16,95%CI:1.01,1.33).Conclusion:A poor sleep quality and a dietary preference for meat-based,salt,spicy and oils were found to be associated with an increased risk of multimorbidity progression among young and middle-aged populations.It is recommended that young and middle-aged adults should pay attention not only to sleep duration but also to sleep quality and improve dietary habits to reduce the likelihood of multimorbidity.展开更多
Background:Hepatocellular carcinoma(HCC)appears to be strongly associated with immune-related genes.However,immune-related genes are not well understood as a prognostic marker in HCC caused by the hepatitis B virus(HB...Background:Hepatocellular carcinoma(HCC)appears to be strongly associated with immune-related genes.However,immune-related genes are not well understood as a prognostic marker in HCC caused by the hepatitis B virus(HBV).The purpose of this study was to investigate the prognostic significance of immune-related genes in HBV-infected HCC.Methods:Gene expression data from 114 HBV-infected HCC and 50 normal tissues were integrated into The Cancer Genome Atlas.Differentially expressed immune-associated genes were analyzed to identify immune-associated differential genes associated with overall survival.Least Absolute Shrinkage and Selection Operator and multivariate Cox regressions were used to constructing immunoprognostic models.An independent prognostic factor analysis using multiple Cox regressions was also performed for HBV-infected HCCs.Immunocorrelation analysis markers and immune cell infiltration were also investigated.Results:We found 113 differentially expressed immune-associated genes.Immune-related differential genes were significantly correlated with the overall survival of HCC patients.We constructed an immune-based prognostic model using multivariate Cox regression analysis including seven immune-related genes.According to further analysis,immune-related prognostic factors may serve as independent prognostic indicators in the clinical setting.There is also evidence that the 7-gene prognostic model reflects the tumor immune microenvironment as a result of the risk score model and immune cell infiltration.Conclusions:As a result of our study,we screened immune-related genes for prognosis in HBV-infected HCC and developed a novel immune-based prognostic model.The research not only provides new prognostic biomarkers but also offers insight into the tumor immune microenvironment and lays the theoretical groundwork for immunotherapy.展开更多
Background:Patients with type 2 diabetes are at high risk for developing multiple chronic complications.However,there is a lack of studies of the cumulative number of diabetic complications in China.Methods:A retrospe...Background:Patients with type 2 diabetes are at high risk for developing multiple chronic complications.However,there is a lack of studies of the cumulative number of diabetic complications in China.Methods:A retrospective cohort study was performed from 2009 to 2021.Type 2 diabetes patients who were first diagnosed after the age of 35 years between January 1,2009,and December 31,2017,were included.Five states were defined according to the number of chronic complications:no(S0),one(S1),two(S2),three(S3),and four or more complications(S4).A multi-state Markov model was constructed to estimate transition probability,transition intensity,mean sojourn time,and the possible factors for each state.Results:The study included 32653 type 2 diabetes patients(mean age,59.59 years;15929(48.8%)male),and mean follow-up time of 7.75 years.In all,4375 transitions were observed.The 12-year transition probability of from state S0 to S1 was the lowest at 16.4%,while that from S2 to S3 was the highest,at 45.6%.Higher fasting blood glucose,lower high-density lipoprotein cholesterol,higher total cholesterol,and an unhealthy diet were associated with higher risk of progression from S0 to S1.Being female,less than 60 years old,weekly physical activity,and vegetarian diet decreased this risk.Being female and less than 60 years old reduced the likelihood of transition from S1 to S2,whereas lower high-density lipoprotein cholesterol increased this likelihood.Conclusions:Following the occurrence of two complications in type 2 diabetes patients,the risk for accumulating a third complication within a short time is significantly increased.It is important to take advantage of the stable window period when patients have fewer than two complications,strengthen the monitoring of blood glucose and blood lipids,and encourage patients to maintain good living habits to prevent further deterioration.展开更多
Background:Telemedicine refers to the use of information technology by medical institutions to directly provide diagnostic and therapeutic services to patients outside the healthcare facility.It encompasses various as...Background:Telemedicine refers to the use of information technology by medical institutions to directly provide diagnostic and therapeutic services to patients outside the healthcare facility.It encompasses various aspects such as remote diagnosis,remote monitoring,remote consultation,and remote outpatient services.Numerous articles have evaluated its role in controlling diseases like hypertension,diabetes,atrial fibrillation,and ischemic stroke.However,the existing literature exhibits varying quality and sample sizes,lacking robust convincing power and systematic effectiveness evaluation.Methods:Following The Preferred Reporting Items for Systematic reviews and Meta-Analyses 2020 guidelines,we identified articles on remote medical intervention in ischemic stroke through databases including Web of Science,PubMed,EMBASE,Cochrane Library,CNKI,Weipu,and Wanfang.The search spanned from the inception of the databases to June 30,2022.Two researchers independently assessed literature quality,extracted data,and conducted meta-analysis using RevMan 5.3 software.Results:Ten articles,involving 5092 patients,were included.Meta-analysis results indicate that telemedicine can effectively enhance compliance with doctors’advice in ischemic stroke patients.Telemedicine is also associated with reduced stroke recurrence,moderate to severe disability,systolic and diastolic blood pressure,National Institutes of Health Stroke Scale scores,and Modified Rankin Scale scores.Additionally,telemedicine demonstrates effectiveness in improving Fugl-Meyer motor function assessment and the Barthel Index of activity of daily living in ischemic stroke patients.However,telemedicine does not significantly reduce stroke hospitalization in the past year and the death rate.Conclusion:In comparison to traditional healthcare,telemedicine exhibits advantages in improving compliance and enhancing functionality in ischemic stroke patients.It is worth promoting telemedicine for better management of ischemic stroke patients.However,this study does not explain how telemedicine improves the functionality of ischemic stroke patients,indicating a need for further research.展开更多
Background:Meta-analysis is a quantitative approach that systematically integrates results from previous research to draw conclusions.Structural equation modelling is a statistical method that integrates factor analys...Background:Meta-analysis is a quantitative approach that systematically integrates results from previous research to draw conclusions.Structural equation modelling is a statistical method that integrates factor analysis and path analysis.Meta-analytic structural equation modeling(MASEM)combines meta-analysis and structural equation modeling.It allows researchers to explain relationships among a group of variables across multiple studies.Methods:We used a simulated dataset to conduct a univariate MASEM analysis,using Comprehensive Meta Analysis 3.3,Analysis of Moment Structures 24.0 software.Results:Despite the lack of concise literature on the methodology,our study provided a practical step-by-step guide on univariate MASEM.Conclusion:Researchers can employ MASEM analysis in applicable fields based on the description,principles,and practices expressed in this study and our previous publications mentioned in this study.展开更多
文摘Background:To systematically evaluate the efficacy and safety of activating blood and resolving stasis in patients with IgA nephropathy.Methods:From inception to May 2022,databases including PubMed,Embase,the Cochrane Library,Web of Science,WanFang database,Chinese Biomedical Database,VIP,and China National Knowledge Infrastructure were searched for randomized controlled trials about enhancing blood circulation and removing stasis for IgA nephropathy.For the articles that satisfied the requirements,quality assessment and meta-analysis were done.Results:Seventeen randomized controlled trials with a total of 1653 patients were included.Meta-analysis showed that activating blood and resolving stasis could increase therapeutic effectiveness(risk ratio(RR)=-0.47,95%confidence interval(CI)(-0.37,-0.2),P=0.0006)and decrease levels of serum creatinine(RR=-0.47,95%CI(-0.37,-0.2),P=0.0006),urea nitrogen(RR=0.85,95%CI(1.44,0.26),P=0.005),24-hour urinary protein quantification(RR=1.6,95%CI(2.44,0.95).P=0.00001),and urine red blood cell count(RR=1.7,95%CI(2.57,0.82),P=0.0001).There was no significant difference between the two groups in terms of security(RR=0.6,95%CI(0.36,1.01),P=0.05).Conclusion:Western medicine combined activating blood and resolving stasis is more efficient than Western medicine therapy alone in treating IgA nephropathy,but it still needs to be supported by additional large-scale,multi-center randomized controlled clinical trials due to the poor quality of the included trials.
基金supported by grants from the Tianjin Health Technology Project(Grant no.2022QN106).
文摘Background:The ORAI family of proteins,comprising ORAI1,ORAI2,and ORAI3,plays a crucial role in the regulation of intracellular calcium signaling,which is essential for various cellular functions including proliferation,differentiation,and apoptosis.Dysregulation of calcium signaling has been implicated in cancer pathogenesis,influencing tumor progression,metastasis,and resistance to therapy.This study aims to provide a comprehensive analysis of the ORAI family members across a broad spectrum of cancers.Methods:Publicly available datasets from The Cancer Genome Atlas and the Gene Expression Omnibus were utilized.RNA sequencing data,mutation profiles,copy number variation data,and methylation data across different cancer types were analyzed.Differential expression analysis,survival analysis,copy number variation analysis,mutation analysis,methylation analysis,immune cell infiltration analysis using the Cibersort algorithm,and gene set enrichment analysis were conducted using R software.Results:ORAI1 and ORAI3 were significantly upregulated in glioblastoma multiforme,whereas ORAI2 was notably downregulated in kidney chromophobe and pancreatic adenocarcinoma.ORAI2 exhibited higher mutation rates and copy number gains in multiple cancers compared to ORAI1 and ORAI3.The hypermethylation of ORAI2 in head and neck squamous cell carcinoma,esophageal carcinoma,and glioblastoma multiforme negatively correlated with its gene expression.ORAI1 and ORAI3 expression positively correlated with regulatory T cells infiltration,whereas ORAI2 showed a negative correlation with CD8^(+)T cell infiltration.Gene set enrichment analysis revealed that ORAI1 and ORAI2 are associated with immune-related pathways,while ORAI3 is linked to MYC targets and oxidative phosphorylation.Conclusion:Our pan-cancer analysis reveals significant differential expression,genomic alterations,and epigenetic regulation of ORAI family members across various cancers.ORAI1 and ORAI3 appear to promote an immunosuppressive environment,whereas ORAI2 may function as a tumor suppressor in certain contexts.These findings provide a foundation for future research targeting ORAI-mediated pathways in cancer therapy and highlight the therapeutic potential of ORAI proteins.
文摘Background:Cognitive function is a current research hotspot,residence may be related to differences in cognitive function,and the mediating role of leisure activities are limited in Chinese research.This study used leisure activities as a mediating variable to investigate the mediating role of leisure activity between place of residence(city-town-rural)and cognitive function among Chinese older,this is where the innovation of the article comes in.Methods:Using cross-sectional data from the 2018 Chinese Longitudinal Healthy Longevity Survey,Pearson correlation analyses were employed to examine the relationships among various indicators.Mediation analyses were conducted using the SPSS PROCESS macro program,version 3.5,written by Hayes,to explore the mediating effects of leisure activity between place of residence and cognitive function in older adults.Results:A total of 10955 older adults were included in this study,with a mean age of(84.23±11.57)years.Among them,2739(24.8%)lived in the city,3627(33.1%)in town,and 4615(42.1%)in rural areas;their leisure activity score was(5.34±3.77),and their cognitive function score was(24.69±6.65).Place of residence,leisure activities,and cognitive function were significantly correlated(P<0.01).Using city as a reference,place of residence is negatively associated with cognitive function,and place of residence not only had a direct effect on cognitive function in older adults:town-cognitive function(effect=–0.399;95%confidence interval(CI)=(–0.685,–0.113));rural-cognitive function(effect=–0.42;95%CI=(–0.698,–0.141)).There were also indirect effects on cognitive function through the pathway of leisure activity:town-leisure activity-cognitive function(effect=–0.17;95%CI=(–0.246,–0.1)),rural-leisure activity-cognitive function(effect=–0.199;95%CI=(–0.272,–0.13)).Conclusion:Leisure activities play a partially mediating role between the impact of place of residence and cognitive function in Chinese older adults,and it is vital to pay attention to the impact of place of residence on the cognitive function of older adults in various aspects,and to increase the participation rate of older adults in leisure activities,which is beneficial to the prevention of cognitive decline and the protection of older adult’s physical and mental health.
基金supported by grants from the Tianjin Health Technology Project(Grant no.2022QN106).
文摘Background:The Fascin(FSCN)family,comprising actin-bundling proteins,plays vital roles in cytoskeletal reorganization and cell migration.FSCN1,FSCN2,and FSCN3 are implicated in cancer progression through cell motility,invasion,and metastasis.However,their specific contributions across different cancer types remain unclear.Methods:We conducted a pan-cancer bioinformatics analysis of FSCN genes using data from The Cancer Genome Atlas.This included differential expression patterns,copy number variations(CNVs),mutations,methylation status,and correlations with tumor mutational burden,microsatellite instability,and immune checkpoint molecule expression.Differential expression was analyzed using DESeq2,while CNV and mutation analyses utilized GISTIC2.0 and MuTect2.Methylation data were assessed using the Illumina Human Methylation 450K BeadChip.Results:FSCN1 and FSCN2 showed significant differential expression in multiple cancers,often correlating with poor prognosis.FSCN3 exhibited less variability but a protective role in certain contexts.CNV analysis indicated frequent gene gains in FSCN genes,correlating with increased expression.FSCN3 had a higher mutation rate,suggesting genetic instability.Methylation analysis showed hypomethylation of FSCN1 and FSCN2 in tumors compared to normal tissues,whereas FSCN3 had minor changes.Significant associations were found between FSCN gene expression and tumor mutational burden,microsatellite instability,and immune checkpoint molecules,suggesting their involvement in tumor immunogenicity and the immune microenvironment.Conclusions:This pan-cancer analysis highlights the multifaceted roles of FSCN genes in cancer biology,emphasizing their potential as biomarkers and therapeutic targets.FSCN1 and FSCN2 are associated with poor prognosis and aggressive phenotypes,while FSCN3 shows protective roles in specific contexts.These findings offer new avenues for cancer diagnosis and treatment,particularly in personalized medicine.Future studies should validate these findings and explore the underlying mechanisms to fully harness the clinical potential of FSCN family proteins in oncology.
基金supported by 2021 Construction project of key disciplines of Traditional Chinese Medicine(clinical)in Guangdong Province([2021]No.129)2020 Foshan City’s‘14th Five-Year’key specialized projects of traditional Chinese medicine(No.15).Foshan self-financing science and technology plan project(2320001009048).
文摘Background:The relationship between tea intake(TI)and sleep disorders(SDs)has been a topic of interest for some time,but there remains a lack of data showing a causal relationship.We aimed to use a two-sample Mendelian randomization study to determine whether there is a causal link between TI and SDs.Methods:We collected data regarding TI,with a focus on green tea intake(GTI),herbal tea intake(HTI),and rooibos tea intake(RTI);and data regarding SDs and insomnia from genome-wide association studies.We analyzed these data using an inverse variance-weighted two-sample Mendelian randomization study,by means of the TwoSampleMR package in R4.2.3 software.Results:We found no genetic causal relationships of TI,GTI,HTI,or RTI with insomnia.The odds ratios(ORs)for these relationships were as follows:TI:OR=0.61,95%confidence interval(CI):0.29–1.28;GTI:OR=1.04,95%CI:0.95–1.14;HTI:OR=0.98,95%CI:0.82–1.17;and RTI:OR=1.04,95%CI:0.99–1.09.In addition,there were no genetic causal relationships of TI,GTI,HTI,or RTI with SDs.The OR values for these relationships were as follows:TI:OR=0.6,95%CI:0.34–1.06;GTI:OR=1,95%CI:0.93–1.07;HTI:OR=0.89,95%CI:0.66–1.2;and RTI:OR=1.02,95%CI:0.98–1.06.Conclusion:We found no causal relationships of TI with SDs or insomnia,irrespective of the type of tea consumed.However,additional Mendelian randomization studies are required to further explore the relationships of the timing and quantity of tea consumption with SDs and insomnia.
文摘Background:Osteochondral lesions of the talus(OLTs)are a significant challenge for foot and ankle specialists,which could cause pain and decrease patient function.Researchers can use the findings of this study to shape future directions for research by exploring global trends and hotspots in OLT.Methods:Web of Science Core Collection was used to retrieve literature related to OLT between 2004 and 2021.This report covers the current state of OLTs,such as publications,journals,trends,hotspots,and the performances of relevant countries,institutions and authors.The co-citation analysis,the coauthorship analysis,the cooccurrence analysis,and the bibliographic coupling analysis were conducted with the Bibliometrix R package,VOSviewer v1.6.10.0,and CiteSpace 5.8.R3.Results:During an 18-year review,717 articles and 76 review articles on OLT published from 2004 to 2021 were reviewed.The USA has made the largest contribution to the OLT-related literature,and a significant contribution has been made by Kennedy JG(48/6.05%)and van Dijk CN(30/3.78%).In terms of total link strength,Foot&Ankle International was the leading journal.Analysis showed that the global research hotspots of OLTs focused on the pathogenesis,diagnosis,clinical research,and surgical treatment of OLT.It would be significant to pay close attention to future research on osteochondral autograft transplantation and management,surgery,multidisciplinary integration and mechanisms of OLT,and its related diseases.Conclusions:The study provides information about the current status and hotspots of research in the domain of OLT over the past 18 years that will assist researchers in identifying potential perspectives on hot topics and research frontiers.
文摘Background:Hepatocellular carcinoma(HCC)is the fourth leading cause of cancer-related deaths globally.Splicing factor proline and glutamine-rich(SFPQ)is a multifunctional protein that controls various biological functions.As a potential therapeutic target and a promising prognostic indicator,the potential effects and processes of SFPQ in HCC require further investigation.Methods:The RNA sequencing data were obtained from the Gene Expression Omnibus,International Cancer Genome Consortium,and The Cancer Genome Atlas databases to analyze SFPQ expression and differentially expressed genes(DEGs).We utilized the LinkedOmics database to identify co-expressed genes.A Venn diagram was constructed to determine the overlapping genes between the DEGs and the co-expressed genes.Functional enrichment analysis was performed on the overlapping genes and DEGs.Furthermore,our study involved functional enrichment analysis,a protein-protein interaction network analysis,and an analysis of immune cell infiltration.The cBioPortal and Tumor Immune Single-cell Hub were utilized to investigate the genetic alterations of SFPQ and the single-cell transcriptome visualization of the tumor microenvironment.A ceRNA network was established with the assistance of the ENCORI website.Finally,we elucidated the clinical significance of SFPQ in HCC by employing Kaplan-Meier survival analysis,univariate and multivariate Cox regression,and prognostic nomogram models.Results:The expression of SFPQ in HCC tissues was significantly elevated compared to normal tissues.GSEA results indicated that increased expression of SFPQ was associated with pathways related to HCC.The ceRNA network,including SFPQ,hsa-miR-101-3p,AC023043.4,AC124798.1,AC145207.5,and GSEC,was constructed with the assistance of ENCORI.High SFPQ expression was related to a poor prognosis in HCC and its subtypes.Univariate and multivariate Cox regression analysis showed that elevated SFPQ expression is an independent predictive factor.Conclusions:The overexpression of SFPQ may serve as a potential prognostic biomarker,indicating a poor prognosis in HCC.
基金supported by the Shandong Province Traditional Chinese Medicine Science and Technology Project (M-2022012)。
文摘Background:Traditional Chinese medicine(TCM)is commonly used for the diagnosis and treatment of insomnia,with tongue diagnosis being particularly important.The aim of our study was to develop and validate a novel tongue imaging-based radiomics(TIR)method for accurately diagnosing insomnia severity.Methods:This two-center analysis prospectively enrolled 399 patients who underwent tongue imaging between July and October 2021 and divided them into primary and validation cohorts by study center.Here,we referred to the Insomnia Severity Index(ISI)standard and the degree of insomnia was evaluated as absent,subthreshold,moderate,or severe.For developed the TIR diagnostic tool,a U-Net algorithm was used to segment tongue images.Subsequently,seven imaging features were selected from the extracted high-throughout radiomics features using the least absolute shrinkage and selection operator algorithm.Then,the final radiomics model was developed in the primary cohort and tested in the independent validation cohort.Finally,we assessed and compared the diagnostic performance differences between TCM tongue diagnosis and our TIR diagnostic tool with the ISI gold standard.The confusion matrix was calculated to evaluate the diagnostic performance.Results:Seven tongue imaging features were selected to build the TIR tool,with showing good correlations with the insomnia degree.The TIR method had an accuracy of 0.798,a macro-average sensitivity of 0.78,a macro-average specificity of 0.906,a weighted-average sensitivity of 0.798,and a weighted specificity of 0.916,showing a significantly better performance compared to the average performance of three experienced TCM physicians(mean accuracy of 0.458,P<0.01).Conclusions:The preliminary study demonstrates the potential application of TIR in the diagnosis of insomnia degree and measurement of sleep health.The integration of quantitative imaging analysis and machine learning algorithms holds promise for advancing both of TCM and precision sleep medicine.
基金Key Projects in Xianning science and technology project (No.2020SFYF01)Youth Talent Project of Health Commission of Hubei Province (No.ZY2021Q026).
文摘Background:To explore the effective chemical constituents of Feiduqing formula for prevention and treatment of coronavirus disease 2019(COVID-19).Methods:The compounds and action targets of twelve herbal medicines in Feiduqing formula were collected via Traditional Chinese Medicine Systems Pharmacology Database and Analytic Platform.The genes corresponding to the targets were queried through the UniProt database.The“herbal medicine-ingredient-target”network was established by Cytoscape software.The Gene Ontology function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed by Database for Annotation,Visualization and Integrated Discovery.Molecular docking was used to analyze the binding force of core active compounds of Feiduqing formula with PTGS2,HSP90AA1,SARS-CoV-23CL hydrolase and angiotensin converting enzyme II(ACE2).Results:The“herbal medicine-ingredient-target”network included 434 nodes and 1948 edges,including 222 components such as quercetin,kaempferol,luteolin,etc.The key targets are PTGS2,HSP90AA1,PTGS1,ESR1,AR,NOS2,etc.Gene Ontology function enrichment analysis revealed 2530 items,including RNA polymerase II-specific,response to oxidative stress,transcription factor activity,etc.Kyoto Encyclopedia of Genes and Genomes pathway enrichment screened 169 signal pathways,including Human cytomegalovirus infection,Kaposi sarcoma-associated herpesvirus infection,Hepatitis B,Hepatitis C,IL-17,TNF,etc.The results of molecular docking showed that quercetin,luteolin,β-sitosterol,stigmasterol and other core active compounds have a certain degree of affinity with PTGS2,HSP90AA1,SARS-CoV-23CL hydrolase and ACE2.Conclusion:The active compounds of Feiduqing formula may have a therapeutic effect on COVID-19 pneumonia through the action on PTGS2,HSP90AA1,SARS-CoV-23CL hydrolase and ACE2,and regulating many signaling pathways.
文摘Background:Stroke is one of the most dangerous and life-threatening disease as it can cause lasting brain damage,long-term disability,or even death.The early detection of warning signs of a stroke can help save the life of a patient.In this paper,we adopted machine learning approaches to predict strokes and identify the three most important factors that are associated with strokes.Methods:This study used an open-access stroke prediction dataset.We developed 11 machine learning models and compare the results to those found in prior studies.Results:The accuracy,recall and area under the curve for the random forest model in our study is significantly higher than those of other studies.Machine learning models,particularly the random forest algorithm,can accurately predict the risk of stroke and support medical decision making.Conclusion:Our findings can be applied to design clinical prediction systems at the point of care.
基金This study was funded by grants from the Zhejiang Province Traditional Chinese Medicine Science and Technology Project(2023ZL056)the Foundation Project of Zhejiang Chinese Medical University(2022JKJNTZ16).
文摘Background:Piwi-interacting RNAs(piRNAs)are a type of non-coding RNAs,initially identified in germ cells in 2006,known to bind to the Piwi family proteins.Accumulating studies indicate their importance in genome stability,epigenetics regulation,germ cell differentiation,and tumor development.Despite growing interest in piRNA research,there is a lack of comprehensive bibliometric studies on the subject.This study aims to analyze piRNA research trends from 2006 to 2023.Methods:The literature regarding piRNA was sourced from the Web of Science on April 25,2023.VOSviewer,CiteSpace and a bibliometric online website(https://bibliometric.com/app)were employed to perform bibliometric analysis.Network maps were constructed to evaluate the collaborations among countries,institutions,authors,journals,references,keywords,and research hot pots.Results:In this study,2549 literature were published across 464 countries and 6921 institutions,comprising 2010 articles and 539 reviews.The United States led in publication output(n=1011,39.66%),followed by China(635,24.91%).The University of Tokyo had the most publications among all institutions(n=100,3.92%),followed by the Chinese Academy of Sciences(n=86,3.37%).Among 631 published journals,Nucleic Acids Research was the most published journal(n=83,3.26%).Siomi Mikiko C published the most articles(n=58),with Aravin Alexei A as the most co-cited author.Analysis of term co-occurrence unveiled three highly interconnected clusters,including“piRNA biogenesis and function”,“cancer and regulation”,as well as“protein and species”.The research focus has transferred from male reproductive development to tumor progression.Conclusion:This bibliometric analysis offered a thorough overview of the current state of piRNA research,deepening understanding of the progress in this field over the last 17 years and providing a valuable reference for scholars engaged in piRNA studies.
基金funded Secondary Classroom Project fund of Capital Medical University (Project Number:D2KT 2021092).
文摘Background:Septic shock is a common systemic inflammatory response syndrome for critical patients in the intensive care unit.Ulinastatin is currently used for the treatment of septic shock.Our study sought to evaluate the efficacy and safety of ulinastatin in the treatment of septic shock patients.Methods:Three English databases(Embase,Medline,and Cochrane Library)and four Chinese databases(China National Knowledge Infrastructure,Wanfang data,SinoMed,and VIP)were searched for published randomized controlled trials.Stata 16.0 software was used to conduct the meta-analysis.Results:A total of 48 articles were included(Chinese article 47,1 in English).The results show that the treatment of ulinastatin could reduce mortality(risk ratio=0.63,95%confidence interval(CI)(0.55,0.72)),multiple organ dysfunction syndrome(risk ratio=0.6,95%CI(0.53,0.68)),length of intensive care unit stay(mean difference(MD)=-3.92,95%CI(-4.65,-3.18)),length of hospital stay(MD=-4.39,95%CI(-6.63,-2.15))and decrease Acute Physiology and Chronic Health Evaluation II score(MD=-4.55,95%CI(-5.63,-3.47))and Sequential Organ Failure Assessment score(MD=-2.02,95%CI(-2.59,-1.44))with P<0.001.Moreover,it lowers TNF-α(standardized mean difference(SMD)=-1.78,95%CI(-2.24,-1.32)),Interleukin-6(SMD=-1.17,95%CI(-1.55,-0.8)),C reactive protein(SMD=-1.49,95%CI(-1.99,-0.99)),hypersensitive C-reactive protein(SMD=-1.9,95%CI(-2.87,-0.94))and procalcitonin(SMD=-0.89,95%CI(-1.12,-0.67))levels in the body.Conclusions:Available evidence shows that ulinastatin reduces case mortality rate,multiple organ dysfunction syndrome,length of intensive care unit stay,and length of hospital stay and decreases Acute Physiology and Chronic Health Evaluation II score and Sequential Organ Failure Assessment score.Moreover,it also lowers TNF-α,Interleukin-6,C reactive protein,hypersensitive C-reactive protein,and procalcitonin levels in the body.
基金supported by the National Natural Science Foundation of China(82130112)Capital’s Funds for Health Improvement and Research(CFH2024-2-1193)the Youth Beijing Scholar(2022-051).
文摘Background:Type 2 diabetes(T2D)has already become a global pandemic.As its simple,rapid,economical,and relatively non-invasive,metabolic markers have become a method for T2D diagnosis.However,region,race,and diet all affect the metabolism of the body.The purpose of current study is to explore the differences of metabolites in T2D patients from regions.Methods:We recruited 103 T2D patients in two clinical centers,including 52 T2D patients from Beijing(T2D_(B))and 51 T2D patients from Kaifeng(T2D_(K)).The serum samples from T2D patients were analyzed using high-resolution mass spectrometer.After screened using univariate and multivariate analysis,the differential metabolites were identified.Moreover,to reveal biological information,we performed pathway analysis with the differential metabolites.Results:Thirty-six differential metabolites were identified,including 16 metabolites were higher concentrations while 20 metabolites were lower concentrations in the serum of T2D_(B) patients than T2D_(K) patients.There were higher serum concentrations of L-phenylalanine,4-methyl-2-oxovaleric acid,L-carnitine,decanoylcarnitine,9-decenoylcarnitine and sphinganine in T2D_(B) patients,in which decanoylcarnitine in T2D_(B) patients was up to 35-fold higher than T2D_(K) patients.While there were lower concentrations of L-valine,L-isoleucine,arachidonic acid,oleic acid,16-hydroxyhexadecanoic acid,lysophosphatidylcholine(18:0)and 1-Phenylethylamine in T2D_(B) patients,in which 1-phenylethylamine in T2D_(B) patients was decreased to 0.45-fold lower than T2D_(K) patients.The reason for the differences might be that phosphatidylethanolamine biosynthesis,phosphatidylcholine biosynthesis,valine,leucine and isoleucine degradation,and beta-oxidation of very long chain fatty acids were different in T2D_(B) patients and in T2D_(K) patients.Conclusion:Metabolites from different pathways are independently related to regions,providing valuable insight and potential for the diagnosis and treatment of T2D.
基金supported by the Joint Special Fund for Applied Basic Research of Yunnan Provincial Science and Technology Department and Kunming Medical University(202101AY070001-217).
文摘Background:Kawasaki disease is an acute immune vasculitis,which is more common in children under 5 years old.Kawasaki disease mainly affects the cardiovascular system,especially the coronary arteries.Once coronary artery damage occurs,it can significantly impact the patient’s prognosis.Therefore,in some countries and regions,Kawasaki disease has become a common acquired heart disease.Methods:First,univariate analysis was conducted on each predictive factor.Then,Least Absolute Shrinkage and Selection Operator and random forest algorithms were used to screen all predictive factors,and the prediction model was evaluated using receiver operating characteristic curve,calibration curve,and Decision Curve Analysis.Results:This study,based on data from 228 Kawasaki disease patients,utilized a random forest model to identify four predictive factors:white blood cell count,creatine kinase isoenzyme MB,albumin,and neutrophil count.These factors were used to construct a prediction model,which achieved an area under the curve of 0.743.Conclusions:We developed a forest plot based on white blood cell count,creatine kinase isoenzyme MB,albumin,and neutrophil count to effectively predict the occurrence of coronary artery lesions in Kawasaki disease.
基金supported by the Center for Public Health Security Research 2022 Policy Research Project(ggwsaqyjzx202205).
文摘Background:To analyze the epidemiological characteristics of varicella epidemics in Chongqing Municipality from 2014 to 2021,and to provide a scientific basis for the formulation of varicella prevention and control measures.Methods:Data on the incidence of varicella outbreaks and vaccination data in Chongqing from 2014 to 2021 were collected through the China Disease Control and Prevention Information System and statistically analyzed using descriptive epidemiological methods.Results:From 2014 to 2021,213,715 cases of varicella were reported in Chongqing Municipality,with an average annual incidence rate of 86.26/100,000,with a statistically significant difference(χ^(2)=24,972.069,P<0.001);varicella incidence is seasonal,with peaks in May/June and October/December each year,presenting a“double-peak distribution”.The average annual incidence rate of varicella in municipal districts was 90.74/100,000,which was higher than that of counties 69.62/100,000 and autonomous counties 84.04/100,000;the average annual incidence rate of varicella in males was 89.37/100,000,and in females,82.22/100,000,with the difference not being statistically significant;the age of onset of the disease was mainly in the group of people under 15 years of age,with a total of 190,021 cases reported(88.9%),with 5-9 years old(35.7%)as the high incidence age group.The incidence occupation was dominated by students in 133,733 cases(62.6%).Conclusion:The overall varicella epidemic in Chongqing is on the rise,and has obvious seasonal,regional and population distribution characteristics.The prevention and control of varicella epidemic should be strengthened,the publicity of varicella vaccine should be increased,and it is recommended that varicella vaccine should be included in the national immunization program.
基金supported by Chongqing Natural Science Foundation General Project(cstc2021jcyi msxmX0069)Chongqing Social Science Planning Project(2022NDYB196).
文摘Background:The prevalence of multimorbidity is increasing,with a notable shift towards younger age groups.Methods:Convenience sampling was employed to select 15,988 young and middle-aged adults in Chongqing as the study population.The Apriori algorithm was used to identify the multimorbidity patterns within this population,while an unordered binary logistic regression model was applied to assess the association between sleep,diet and the risk of multimorbidity.Results:The study population had an average age of 39.2±10.1 years.Apriori association rules revealed that the most prevalent binary chronic disease multimorbidity pattern was dyslipidaemia+hypertension(14.78%),while the most common ternary chronic disease multimorbidity pattern was diabetes+dyslipidaemia+hypertension(9.66%).The logistic regression analysis revealed that a lower rating of sleep quality was associated with an elevated risk of multimorbidity(odds ratio(OR)=1.17,95%confidence interval(CI):1.01,1.36).Individuals who adhere to a meat-based diet(OR=1.45,95%CI:1.25,1.68)and those with elevated salt intake(OR=1.22,95%CI:1.01,1.47)were also observed to have an increased risk of multimorbidity.Additionally,a greater likelihood of multimorbidity was observed among those following a spicy diet(OR=1.3,95%CI:1.11,1.52)and consuming more oil(OR=1.16,95%CI:1.01,1.33).Conclusion:A poor sleep quality and a dietary preference for meat-based,salt,spicy and oils were found to be associated with an increased risk of multimorbidity progression among young and middle-aged populations.It is recommended that young and middle-aged adults should pay attention not only to sleep duration but also to sleep quality and improve dietary habits to reduce the likelihood of multimorbidity.
基金supported by the Shenyang City-School Joint Funding Project (No.2400022093).
文摘Background:Hepatocellular carcinoma(HCC)appears to be strongly associated with immune-related genes.However,immune-related genes are not well understood as a prognostic marker in HCC caused by the hepatitis B virus(HBV).The purpose of this study was to investigate the prognostic significance of immune-related genes in HBV-infected HCC.Methods:Gene expression data from 114 HBV-infected HCC and 50 normal tissues were integrated into The Cancer Genome Atlas.Differentially expressed immune-associated genes were analyzed to identify immune-associated differential genes associated with overall survival.Least Absolute Shrinkage and Selection Operator and multivariate Cox regressions were used to constructing immunoprognostic models.An independent prognostic factor analysis using multiple Cox regressions was also performed for HBV-infected HCCs.Immunocorrelation analysis markers and immune cell infiltration were also investigated.Results:We found 113 differentially expressed immune-associated genes.Immune-related differential genes were significantly correlated with the overall survival of HCC patients.We constructed an immune-based prognostic model using multivariate Cox regression analysis including seven immune-related genes.According to further analysis,immune-related prognostic factors may serve as independent prognostic indicators in the clinical setting.There is also evidence that the 7-gene prognostic model reflects the tumor immune microenvironment as a result of the risk score model and immune cell infiltration.Conclusions:As a result of our study,we screened immune-related genes for prognosis in HBV-infected HCC and developed a novel immune-based prognostic model.The research not only provides new prognostic biomarkers but also offers insight into the tumor immune microenvironment and lays the theoretical groundwork for immunotherapy.
基金supported by the National Natural Science Foundation of China(grant No.72074011)the Real World Study Project of Hainan Boao Lecheng Pilot Zone(Real World Study Base of NMPA)(HNLC2022RWS012)+1 种基金the fundamental research funds for central public welfare research institutes(2023CZ-11)National Natural Science Foundation of China(No.82003536).
文摘Background:Patients with type 2 diabetes are at high risk for developing multiple chronic complications.However,there is a lack of studies of the cumulative number of diabetic complications in China.Methods:A retrospective cohort study was performed from 2009 to 2021.Type 2 diabetes patients who were first diagnosed after the age of 35 years between January 1,2009,and December 31,2017,were included.Five states were defined according to the number of chronic complications:no(S0),one(S1),two(S2),three(S3),and four or more complications(S4).A multi-state Markov model was constructed to estimate transition probability,transition intensity,mean sojourn time,and the possible factors for each state.Results:The study included 32653 type 2 diabetes patients(mean age,59.59 years;15929(48.8%)male),and mean follow-up time of 7.75 years.In all,4375 transitions were observed.The 12-year transition probability of from state S0 to S1 was the lowest at 16.4%,while that from S2 to S3 was the highest,at 45.6%.Higher fasting blood glucose,lower high-density lipoprotein cholesterol,higher total cholesterol,and an unhealthy diet were associated with higher risk of progression from S0 to S1.Being female,less than 60 years old,weekly physical activity,and vegetarian diet decreased this risk.Being female and less than 60 years old reduced the likelihood of transition from S1 to S2,whereas lower high-density lipoprotein cholesterol increased this likelihood.Conclusions:Following the occurrence of two complications in type 2 diabetes patients,the risk for accumulating a third complication within a short time is significantly increased.It is important to take advantage of the stable window period when patients have fewer than two complications,strengthen the monitoring of blood glucose and blood lipids,and encourage patients to maintain good living habits to prevent further deterioration.
基金supported by 2021 Construction project of key disciplines of Traditional Chinese Medicine(clinical)in Guangdong Province([2021]No.129)2020 Foshan City’s‘14th Five-Year’key specialized projects of traditional Chinese medicine(No.15).Foshan self-financing science and technology plan project(2320001009048).
文摘Background:Telemedicine refers to the use of information technology by medical institutions to directly provide diagnostic and therapeutic services to patients outside the healthcare facility.It encompasses various aspects such as remote diagnosis,remote monitoring,remote consultation,and remote outpatient services.Numerous articles have evaluated its role in controlling diseases like hypertension,diabetes,atrial fibrillation,and ischemic stroke.However,the existing literature exhibits varying quality and sample sizes,lacking robust convincing power and systematic effectiveness evaluation.Methods:Following The Preferred Reporting Items for Systematic reviews and Meta-Analyses 2020 guidelines,we identified articles on remote medical intervention in ischemic stroke through databases including Web of Science,PubMed,EMBASE,Cochrane Library,CNKI,Weipu,and Wanfang.The search spanned from the inception of the databases to June 30,2022.Two researchers independently assessed literature quality,extracted data,and conducted meta-analysis using RevMan 5.3 software.Results:Ten articles,involving 5092 patients,were included.Meta-analysis results indicate that telemedicine can effectively enhance compliance with doctors’advice in ischemic stroke patients.Telemedicine is also associated with reduced stroke recurrence,moderate to severe disability,systolic and diastolic blood pressure,National Institutes of Health Stroke Scale scores,and Modified Rankin Scale scores.Additionally,telemedicine demonstrates effectiveness in improving Fugl-Meyer motor function assessment and the Barthel Index of activity of daily living in ischemic stroke patients.However,telemedicine does not significantly reduce stroke hospitalization in the past year and the death rate.Conclusion:In comparison to traditional healthcare,telemedicine exhibits advantages in improving compliance and enhancing functionality in ischemic stroke patients.It is worth promoting telemedicine for better management of ischemic stroke patients.However,this study does not explain how telemedicine improves the functionality of ischemic stroke patients,indicating a need for further research.
文摘Background:Meta-analysis is a quantitative approach that systematically integrates results from previous research to draw conclusions.Structural equation modelling is a statistical method that integrates factor analysis and path analysis.Meta-analytic structural equation modeling(MASEM)combines meta-analysis and structural equation modeling.It allows researchers to explain relationships among a group of variables across multiple studies.Methods:We used a simulated dataset to conduct a univariate MASEM analysis,using Comprehensive Meta Analysis 3.3,Analysis of Moment Structures 24.0 software.Results:Despite the lack of concise literature on the methodology,our study provided a practical step-by-step guide on univariate MASEM.Conclusion:Researchers can employ MASEM analysis in applicable fields based on the description,principles,and practices expressed in this study and our previous publications mentioned in this study.
