OBJECTIVE: To describe survival trends and global patterns of esophageal cancer (EC) using survival data from population-based cancer registries. METHODS: We systematically searched PubMed, EMBASE, Web of Science, SEER, and SinoMed databases for articles published up to 31 December 2023. Eligible EC survival estimates were evaluated according to country or region, period, sex, age group, pathology, and disease stage. RESULTS: After 2010, Jordan exhibited the highest age-standardized 5-year relative survival rates (RSRs)/net survival rates (NSRs) at 41.1% between 2010 and 2014, while India had the lowest, at 4.1%. Survival rates generally improved with diagnostic age across most countries, with significant increases in South Korea and China, of 12.7% and 10.5% between 2000 and 2017, respectively. Survival was higher among women compared to men, ranging from 0.4%-10.9%. Survival rates for adenocarcinoma and squamous cell carcinoma were similar, differing by about 4%. In China, the highest age-standardized RSRs/NSRs was 33.4% between 2015 and 2017. Meanwhile, the lowest was 5.3%, in Qidong (Jiangsu province) between 1992-1996. CONCLUSION Global EC survival rates have improved significantly in recent decades, but substantial geographical, sex, and age disparities still exist. In Asia, squamous cell carcinoma demonstrated superior survival rates compared to adenocarcinoma, while the opposite trend was observed in Western countries. Future research should clarify the prognostic factors influencing EC survival and tailor prevention and screening strategies to the changing EC survival patterns.
Humans ; Esophageal Neoplasms/mortality* ; Registries ; Male ; Female ; Survival Analysis ; Middle Aged ; Survival Rate ; Aged ; Global Health

OBJECTIVE: Patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection frequently develop central nervous system damage, yet the mechanisms driving this pathology remain unclear. This study investigated the primary pathways and key factors underlying brain tissue damage induced by the SARS-CoV-2 beta variant (lineage B.1.351). METHODS: K18-hACE2 and C57BL/6 mice were intranasally infected with the SARS-CoV-2 beta variant. Viral replication, pathological phenotypes, and brain transcriptomes were analyzed. Gene Ontology (GO) analysis was performed to identify altered pathways. Expression changes of host genes were verified using reverse transcription-quantitative polymerase chain reaction and Western blot. RESULTS: Pathological alterations were observed in the lungs of both mouse strains. However, only K18-hACE2 mice exhibited elevated viral RNA loads and infectious titers in the brain at 3 days post-infection, accompanied by neuropathological injury and weight loss. GO analysis of infected K18-hACE2 brain tissue revealed significant dysregulation of genes associated with innate immunity and antiviral defense responses, including type I interferons, pro-inflammatory cytokines, Toll-like receptor signaling components, and interferon-stimulated genes. Neuroinflammation was evident, alongside activation of apoptotic and pyroptotic pathways. Furthermore, altered neural cell marker expression suggested viral-induced neuroglial activation, resulting in caspase 4 and lipocalin 2 release and disruption of neuronal molecular networks. CONCLUSION These findings elucidate mechanisms of neuropathogenicity associated with the SARS-CoV-2 beta variant and highlight therapeutic targets to mitigate COVID-19-related neurological dysfunction.
Animals ; COVID-19/genetics* ; Mice ; Brain/metabolism* ; Apoptosis ; Mice, Inbred C57BL ; SARS-CoV-2/physiology* ; Pyroptosis ; Gene Expression Profiling ; Transcriptome ; Male ; Female

As an indispensable trace element in the human body,copper plays an important role in various physiological and biochemical reactions.The dyshomeostasis of copper leads to the disorder of copper metabolism and the occurrence of related diseases.Cuproptosis,a newly proposed regulatory cell death mode,is different from the known apoptosis,pyroptosis,necroptosis,and ferroptosis.Recent studies have found that the dyshomeostasis of copper has been observed in a variety of cancers.Therefore,targeting copper for disease treatment may become a new strategy and a new idea.This article systematically summarizes the fundamental properties of copper,copper dyshomeostasis-related diseases (Menkes syndrome,Wilson's disease,and cancer) and their treatment,and reviews the research progress in cuproptosis.
Humans ; Copper/metabolism* ; Homeostasis ; Neoplasms/metabolism* ; Hepatolenticular Degeneration/metabolism* ; Menkes Kinky Hair Syndrome/metabolism*

Objective To explore the ArcCHECK system-based methods for dose verification of ultra-long target for cervical cancer VMAT so as to assure the precision of cervical cancer radiotherapy.Methods A total of 33 patients with ultra-long target(target length≥26 cm)admitted to some hospital for cervical cancer VMAT from 2021 to 2023 were selected retrospectively,and radiotherapy plans were designed for the patients with VMAT technology and verified dosimetrically with different methods.Firstly,the dose distribution data were collected respectively at 5 and 8 cm away from the center of the ArcCHECK system along the bed exit direction,and enrolled into Group Test 1 and Test 2 respectively.Then the ArcCHECK system was flipped 180°,and the dose distribution data were acquired at 8 cm away from the center along the bed exit direction and included into Group Test 3.Dose merging between Group Test 2 and Test 3 with the Merge function was carried out to obtain the dose distribution data which were divided into Group Test 4.The monitor units of Group Test 1,2 and 4 were summarized,and difference analyses were performed on the length of the target area,detection point and irradiation time.Group Test 1,2 and 4 were compared in terms of γ pass rate,normalized dose deviation,confidence limit(CL)of pass rate and acceptance rate(γ pass rate≥95%and γ pass rate≥90%).Spearman's correlation coefficient was used to correlate the parameters such as maximum transverse diameter,length,volume and monitor unit of the target area and expected execution time of the plan.SPSS 19.0 software was used for statistical analysis.Results Group Test 1,2 and 4 had the monitor unit being(758.76±107.63)MU,and had statistically significant differences in length of the target area,detection point and irradiation time(P<0.01).In Group Test 4 γ pass rate under 2%/2 mm criterion did not reach 90%,and in Group Test 1 and 2 γ pass rates under 3%/3 mm and 3%/2 mm criteria both amounted to 95%.Group Test 1,2 and 4 had statistically significant differences in γ pass rate and normalized dose deviation(all P<0.05).In Group Test 1 there were more than 90%of the verification results where γ pass rate≥95%and more than 95%where γ pass rate≥90%under 3%/3 mm criterion.The monitor unit was positively correlated with the maximum transverse diameter,length and volume of the target area,respectively(0.337≤r≤0.568,P<0.05),and the expected execution time of the plan was positively correlated with the volume and monitor unit of the target area,respectively(0.457≤r≤0.517,P<0.01).Conclusion The dose verification method with the target at 5 cm away from the center along the bed exit direction can be applied clinically with high feasibility to the dose verification during the radiotherapy of the cervical cancer VMAT patients with ultra-long target,with the safety of the verification devices ensured effectively.

Aim To investigate the regulatory effects and underlying mechanisms of 4-methoxybenzyl alcohol(4-MBA),an active ingredient of Gastrodia elata,on hepatic cholesterol metabolism.Methods Acute hy-perlipidemia mouse models were established via egg yolk emulsion induction,and hyperlipidemia rat models were constructed using a high-fat diet.Serum and he-patic total cholesterol(TC),triglycerides(TG),low-density lipoprotein cholesterol(LDL-C),and high-den-sity lipoprotein cholesterol(HDL-C)levels were quan-tified via enzymatic assays.Hepatic histopathological changes were evaluated through hematoxylin-eosin(HE)and Oil Red O staining.Interactions between 4-MBA and key cholesterol metabolism targets were sim-ulated using molecular docking.mRNA and protein ex-pression levels of LDL receptor(LDLR),proprotein convertase subtilisin/kexin type 9(PCSK9),liver X receptor α(LXRα),peroxisome proliferator-activated receptor γ(PPARγ),ATP-binding cassette transporter G1(ABCG1),and cholesterol 7α-hydroxylase(CYP7A1)were assessed using quantitative polymer-ase chain reaction(qPCR)and immunohistochemis-try.Results In acute hyperlipidemic mice,4-MBA administration significantly reduced serum TG and LDL-C levels while elevating HDL-C(P＜0.05).Hy-perlipidemic rats exhibited decreased serum TG and LDL-C,increased HDL-C(P＜0.01),reduced hepatic LDL-C(P＜0.01),and elevated hepatic HDL-C(P＜0.01).Although TC levels showed a downward trend,the difference lacked statistical significance.He-patic lipid accumulation and steatosis were alleviated.Upregulated mRNA and protein expression of LDLR,PPARγ,LXRα,and ABCG1(P＜0.01),alongside downregulated PCSK9(P＜0.05),were observed.Conclusion 4-MBA modulates cholesterol metabolism primarily via the LDLR/PCSK9 pathway to enhance cholesterol uptake and the PPARγ-LXRα-CYP7A1/ABCA1 axis to promote cholesterol utilization and ef-flux.

Aim To investigate the regulatory effects and underlying mechanisms of 4-methoxybenzyl alcohol(4-MBA),an active ingredient of Gastrodia elata,on hepatic cholesterol metabolism.Methods Acute hy-perlipidemia mouse models were established via egg yolk emulsion induction,and hyperlipidemia rat models were constructed using a high-fat diet.Serum and he-patic total cholesterol(TC),triglycerides(TG),low-density lipoprotein cholesterol(LDL-C),and high-den-sity lipoprotein cholesterol(HDL-C)levels were quan-tified via enzymatic assays.Hepatic histopathological changes were evaluated through hematoxylin-eosin(HE)and Oil Red O staining.Interactions between 4-MBA and key cholesterol metabolism targets were sim-ulated using molecular docking.mRNA and protein ex-pression levels of LDL receptor(LDLR),proprotein convertase subtilisin/kexin type 9(PCSK9),liver X receptor α(LXRα),peroxisome proliferator-activated receptor γ(PPARγ),ATP-binding cassette transporter G1(ABCG1),and cholesterol 7α-hydroxylase(CYP7A1)were assessed using quantitative polymer-ase chain reaction(qPCR)and immunohistochemis-try.Results In acute hyperlipidemic mice,4-MBA administration significantly reduced serum TG and LDL-C levels while elevating HDL-C(P＜0.05).Hy-perlipidemic rats exhibited decreased serum TG and LDL-C,increased HDL-C(P＜0.01),reduced hepatic LDL-C(P＜0.01),and elevated hepatic HDL-C(P＜0.01).Although TC levels showed a downward trend,the difference lacked statistical significance.He-patic lipid accumulation and steatosis were alleviated.Upregulated mRNA and protein expression of LDLR,PPARγ,LXRα,and ABCG1(P＜0.01),alongside downregulated PCSK9(P＜0.05),were observed.Conclusion 4-MBA modulates cholesterol metabolism primarily via the LDLR/PCSK9 pathway to enhance cholesterol uptake and the PPARγ-LXRα-CYP7A1/ABCA1 axis to promote cholesterol utilization and ef-flux.

Objective To observe the value of changes of neutrophil-to-lymphocyte ratio(NLR)before and after the first interventional treatment of hepatocellular carcinoma(HCC)for predicting patient's overall survival(OS).Methods Totally 92 HCC patients who underwent the first time TACE or TACE+hepatic artery infusion chemotherapy(HAIC)were retrospectively enrolled.The patients were divided into NLR ratio(NLRR)＜1.29 group(n=54)and≥1.29 group(n=38)based on the ratio of NLR after to before treatment,also ΔNLR＜0.87 group(n=60)and≥0.87 group(n=32)based on the difference of NLR after and before treatment.Clinical data were compared between groups,survival analysis was performed,and the value of NLRR and ΔNLR for predicting OS were analyzed.Results No significant difference of clinical data was found between NLRR＜1.29 and≥1.29 groups,nor between ΔNLR＜0.87 and≥0.87 groups(all P＞0.05).The median OS of 92 patients was 30.90 months,which in NLRR＜1.29 group(55.10 months)was longer than that in NLRR≥1.29 group(22.30 months,P=0.005),while in ΔNLR＜0.87 group(55.10 months)was longer than that in ΔNLR≥0.87 group(14.20 months,P=0.003).Cox regression analysis showed that the maximum diameter of tumor≥5 cm,distant metastasis,ascites,NLRR≥1.29 and ΔNLR≥0.87 were all independent risk factors of OS(all P＜0.05).Taken 1.29 and 0.87 as the best cut-off value,respectively,the area under the curve of NLRR and ΔNLR for predicting OS was 0.620 and 0.610,respectively.Conclusion NLRR and ΔNLR were helpful for predicting OS of HCC patient after the first interventional treatment.

OBJECTIVE:Nowadays,machine learning algorithms are gradually being applied to predict stroke and cardiovascular disease.Compared with traditional regression models,machine learning can learn from data to achieve high prediction accuracy by exploring the flexible relationship between a large number of predictive features and outcome variables,providing a new method for the formulation of individualized treatment and rehabilitation programs.This study aims to systematically evaluate stroke functional recovery and prognosis prediction models based on machine learning,comprehensively assessing their predictive performance and clinical application potential to provide references for the development,application,and promotion of related predictive models.METHODS:This review was conducted following the PRISMA(Preferred Reporting Items for Systematic Reviews and Meta-Analyses)guidelines.Relevant literature on stroke prognosis prediction using machine learning methods was selected by searching PubMed,EMbase,Web of Science Core Collection,CNKI,WanFang,and the China Biomedical Literature Database,with the search period from January 1,2014,to July 1,2024.Two researchers independently screened the literature and extracted data based on inclusion and exclusion criteria,using the Prediction model Risk Of Bias ASsessment Tool(PROBAST)to assess model quality.RESULTS:(1)A total of 3 126 articles were obtained in the preliminary search.After screening and exclusion,18 articles were finally included.150 prediction models were constructed using 13 machine learning methods.The three most frequently used methods are Logistic Regression,Random Forest,and Extreme Gradient Boosting(XGBoost).Only one study was externally validated.Eight studies reported how the missing data were handled.(2)In terms of outcome indicators,8 studies used the combination of clinical data and imaging data to build models,9 studies only used clinical data to build models,and 1 study only used imaging data to build models.(3)Each of the 18 studies gave the most important characteristics of the study,with the most mentioned being the National Institute of Health Stroke Scale and age.All studies reported area under curve values ranging from 0.74 to 0.96,with the highest area under curve being 0.96.The overall risk of bias in all models was high.The high risk of bias in the field of model analysis was the main reason for the high risk of overall bias in all models.(4)The results of meta-analysis showed that age and National Institute of Health Stroke Scale score had significant influence on stroke prognosis,with age[MD=8.49,95％CI(6.24,10.75),P＜0.01]and National Institute of Health Stroke Scale score[MD=4.78,95％CI(2.56,7.00),P＜0.01].CONCLUSION:This study systematically evaluated the predictive model of functional recovery and prognosis of stroke based on machine learning,and all the models have good predictive potential.However,future studies should increase the sample size of the included model,adopt prospective studies,and add external validation of the model to improve the stability and prediction accuracy of the model,control the risk of bias,and contribute to the validation and promotion of the model in practical clinical applications.At the same time,the interpolation of missing values is more transparent and accurate.Although existing machine learning models show good predictive performance,it is also important to focus on the functionality and usability of the model,and the inclusion of features will reduce ease of use.We should develop easy to use model interfaces and user-friendly clinical tools to enable medical staff to better apply the model for clinical decision.

To investigate the transcriptionally regulatory mechanism of the senp8 promoter in yellow cat-fish(Pelteobagrus fulvidraco);this study used P.fulvidraco as the research subject.Dual-luciferase re-porter assay and electrophoretic mobility shift assay were employed to analyze the functional activity of the promoter;coupled with in vivo experiments.The results indicated that the 2 045 bp senp8 promoter se-quence contained key transcription factor binding sites such as SP1;TATA-Box;CCAAT-Box;SREBP1;PPARα;and PPARγ.The binding sites of SREBP1(-901/-910 bp);PPARα(-1 291/-1 308 bp);and PPARγ(-1 292/-1 306 bp)in the senp8 promoter positively regulate its activity;and oleic acid or palmitic acid promote this binding.Furthermore;high-fat feeding promoted the expression of the senp8 gene and its protein in the liver of P.fulvidraco;oleic acid or palmitic acid treatment significantly en-hanced the activity of the senp8 promoter;and this enhancement could be achieved through the regulatory effects of SREBP1;PPARα;and PPARγ response elements.Additionally;high-fat feeding influenced the mRNA and protein expression levels of genes related to deSUMOylation modification in the liver of P.fulvidraco.This study provides new insights into the relationship between deSUMOylation modification and the regulation of lipid metabolism in the vertebrates.

In this study,a sensitive lateral flow immunoassay(LFIA)platform based on carbon dots-mesoporous silica nanocomposite(CD-MSNs)fluorescent probes was constructed for high-performance detection of inflammatory marker interleukin-6(IL-6).Green fluorescent carbon dots(CDs)were prepared by hydrothermal method with 3,9-perylenic acid and 3-aminopropyltriethoxysilane(APTES)as raw materials,and highly fluorescent CD-MSNs composites were then constructed by encapsulating the prepared CDs in mesoporous silica nanoparticles(MSNs).Fluorescent probes were prepared by covalent coupling of CD-MSNs with IL-6 antibody.Fluorescent immunochromatographic test strips were constructed by spraying IL-6 capture antibody and goat anti-mouse IgG on nitrocellulose membrane as detection line(T-line)and quality control line(C-line),respectively.The fluorescence immunoassay analyzer was used to quantitatively detect the fluorescence intensity of T-line,and the experimental results showed that the LFIA platform based on this probe had a good linear relationship in IL-6 concentration range of 102-106 pg/mL,and the detection limit was 64 pg/mL,which was two orders of magnitude more sensitive than that of the traditional colloidal gold test strips.This method effectively solved the issue of insufficient sensitivity of traditional LFIA technique,and provided a rapid and highly sensitive detection method for early diagnosis of inflammatory diseases.