Objective:To explore the trend of mortality rates for female breast cancer in China and quantify the impact of demographic and non-demographic factors on the burden of breast cancer mortality.Methods:Mortality data for female breast cancer from 2013 to 2021 were extracted from the Chinese Cause of Death Monitoring Dataset, and the 2000 Chinese population census data were used to standardize the mortality rates. The Joinpoint software was employed to analyze the mortality trends by calculating the Annual Percentage Change (APC) and Average Annual Percentage Change (AAPC). The population decomposition method was utilized to quantify the impact of changes in population age structure, population size, and non-demographic factors on the burden of breast cancer mortality.Results:From 2013 to 2021, the crude mortality rate for female breast cancer in China showed an increasing trend, with an AAPC of 2.3% (95% CI: 1.7%-2.9%). The standardized mortality rate remained relatively stable, with an AAPC of -0.2% (95% CI: -1.6%-1.3%). However, Joinpoint trend analysis indicated that the standardized mortality rate had a turning point in 2017, with a rapid increase before this year (APC: 3.9%, 95% CI: 1.1%-6.9%), and a rapid decline after this year (APC: -4.1%, 95% CI: -6.8% to -1.4%). The growth speed of crude mortality rates in rural areas was higher than that in urban areas, with AAPCs of 3.0% (95% CI: 2.4%-3.5%) and 1.3% (95% CI: 0.4%-2.2%), respectively. The standardized mortality rate in rural areas remained relatively stable, with an AAPC of 0.6% (95% CI: -1.0%-2.2%), while in urban areas, it showed a decreasing trend, with an AAPC of -1.1% (95% CI: -2.2%-0.0%). In the eastern, central, and western regions, the crude mortality rates all showed an increasing trend, with AAPCs of 1.7% (95% CI: 0.7%-2.8%), 3.8% (95% CI: 2.5%-5.2%), and 2.2% (95% CI: 0.5%-4.0%), respectively, while the standardized mortality rates remained relatively stable, with AAPCs of -0.3% (95% CI: -1.7%-1.2%), 0.6% (95% CI: -1.2%-2.4%), and 0.0% (95% CI: -2.2%-2.2%), respectively. Compared with 2013, the number of deaths in 2021 increased by 42.8%, of which changes in population age structure accounted for 21.3%, the age structure changes of urban and rural residents contributed 22.8% and 19.2%, respectively, to the whole changes caused by population age structure, while those in the eastern, central, and western regions contributed 20.6%, 24.3%, and 15.9%, respectively.Demographically, the changes in population size accounted for 18.3%, and non-demographic factors only accounted for 3.2%. Conclusions:From 2013 to 2021, the crude mortality rate for female breast cancer in China continued to rise, a trend mainly influenced by population age structure, with the fastest growth rates in crude mortality rates observed in rural areas and the central region. After adjusted for age structure, the standardized mortality rate for female breast cancer in China began to decline from 2017.

Purpose To investigate the correlation between the methylation level at CpG sites of CXCL17 and the clinicopathological parameters of papillary thyroid carcinoma(PTC).Methods samples from 186 cases of PTC and 191 cases of benign thyroid nodule(BTN)were collected.Methylation levels of CXCL17 were semi-quantitatively as-sessed using mass spectrometry.Logistic regression analysis,which adjusted for age,gender and related hormones,was conducted to evaluate the correlation between CXCL17 methylation and PTC,and calculate the odds ratios(ORs)and 95％confidence intervals(CIs).Results Hypomethylation level of CXCL17_CpG_1.2 was significantly associat-ed with PTC(OR=1.36,95％CI:1.16-1.60,P＜0.001)and early stage of PTC patients(Stage Ⅰ,OR=1.41,95％CI:1.19-1.67,P＜0.001).Gender-based hierarchical management analysis showed that decreased methyla-tion level of CXCL17_CpG_1.2 was significantly associated with female PTC patients(OR=1.39,95％CI:1.15-1.67,P＜0.001).In subgroups stratified by age(＜50 and≥50 years old),hypomethylation at CXCL17_CpG_1.2 was significantly associated with PTC,with a stronger association in the younger subgroup(＜50 years old:OR=1.42,95％CI:1.14-1.77,P＜0.01;≥ 50 years old:OR=1.30,95％CI:1.03-1.64,P＜0.05).Conclusion There was a significant difference in CXCL17 methylation levels between benign and malignant thyroid tumors.It was showed that hypomethylation of CXCL17 is closely associated with PTC,particularly in young women patient.Thus,CXCL17 methylation may serve as a biomarker for accurate differential diagnosis of thyroid nodule.

Objective:To explore the construction of an evaluation model for aortic root anatomy and calcium burden in patients with bicuspid aortic valve (BAV) stenosis before transcatheter aortic valve replacement (TAVR) based on deep learning (DL) algorithms.Methods:A retrospective collection of 362 BAV stenosis patients who underwent TAVR from September 2023 to May 2024 was performed. All patients underwent cardiac CT angiography. The patients were divided into training group ( n=104), internal validation group ( n=206), and external validation group ( n=52). A DL model was trained on the training dataset to assess aortic root anatomy and calcification burden. The evaluation included the segmentation accuracy of the algorithm, the measurement performance of key anatomical structures (i.e., valve leaflets and type-1 and type-2 fusion raphe), and calcification burden, as well as the measurement efficiency. Overall segmentation performance was assessed using the average Dice coefficient (ADC). The fine-scale segmentation quality was validated by the 95th-percentile Hausdorff distance (HD-95) and the average symmetric surface distance (ASSD). The consistency of the measurement results was assessed using the Pearson correlation coefficient and the intraclass correlation coefficient ( ICC) with a two-way mixed model for absolute agreement. In addition, the total time and total mouse movement distance required for manual assessment versus the DL model on the validation datasets were recorded and compared. Results:The algorithm demonstrated excellent segmentation performance on aortic root anatomical targets, achieving outstanding consistency within both internal and external validation datasets (0.955

Objective:This study utilizes data from the 2021 Chinese Longitudinal Healthy Longevity and Happy Family Survey(CLHLS-HF)to examine the current status of Long-Term Care Insurance(LTCI)implementation and to identify the factors influencing whether disabled elderly individuals receive formal care services.The study aims to provide policy recommendations to enhance the effectiveness and equity of the system.Methods:In this cross-sectional study, a sample of 1 447 older participants with dependency, residing in LTCI pilot areas and meeting the inclusion criteria from the 2021 CLHLS-HF, was selected.Chi-square tests and binary logistic regression analyses were employed to explore the factors influencing the receipt of formal care by dependent older individuals.Results:Among the 1 447 participants, there were 496 males with an average age of 92 years(SD 9)and 951 females with an average age of 95 years(SD 9). Of these, 701 received formal care.The logistic regression analysis revealed that factors influencing the receipt of formal care included urban residence( OR=2.237, 95% CI: 1.675-2.987, P<0.001), residing in the eastern region( OR=2.907, 95% CI: 1.747-4.837, P<0.001), living in the western region( OR=3.132, 95% CI: 1.816-5.501, P<0.001), having no children( OR=2.478, 95% CI: 1.108-5.540, P=0.027), and the degree of disability, with severe disability being more likely to receive care compared to mild( OR=0.497, 95% CI: 0.388-0.637, P<0.001)and moderate disabilities( OR=0.589, 95% CI: 0.433-0.801, P=0.001). Conclusions:Dependent older individuals in the eastern and western regions, particularly those without children or with severe disabilities, are more likely to receive formal care through the LTCI system.However, there are substantial inequities in LTCI coverage among individuals with varying degrees of disability.To enhance the effectiveness of the LTCI system, greater efforts should be directed towards economically disadvantaged regions and older individuals with mild to moderate disabilities, thereby ensuring better protection for the disabled population.

Objectives:To investigate the relationship between the improvement of lumbar symptoms and imaging parameters in patients with tandem spinal stenosis(TSS)primarily manifesting as cervical spondylotic myelopathy(CSM)after initial cervical decompression surgery,and to explore related imaging predictive factors.Methods:A retrospective analysis was conducted on 69 TSS patients who underwent primary cervical decom-pression surgery,with an average age of 64.3±10.5 years(ranging from 41 to 86 years old)and a follow-up period of 33.8±5.5 months(ranging from 24 to 48 months).Preoperative symptoms and signs,Nurick gait clas-sification,and preoperative and final follow-up Japanese Orthopaedic Association(JOA)scores for both the cer-vical and lumbar spine were recorded and analyzed.The patients were divided into an improvement group(n=37)and a non-improvement group(n=32)based on the improvement conditions of lumbar spine JOA scores at the final follow-up.Imaging parameters were measured including spinal cord compression ratio,cross-sectional area of the dural sac at the narrowest point of the cervical spinal cord,the ratio of the vertebral canal to the vertebral body and the actual spinal canal width from C3 to C7,and the actual width of the vertebral canal from L1 to L5.The conditions of spinal canal stenosis were evaluated according to the grading system of spinal canal stenosis of cervical and lumbar spine proposed by Lee et al,and the number of cervical verte-brae with a stenosis score ≥1,score at the narrowest part of cervical spinal canal,and the total score of cervical stenosis,as well as the number of lumbar vertebrae with a stenosis score ≥1,score at the narrowest part of lumbar spinal canal,and the total score of lumbar stenosis were calculated.Intergroup comparisons were performed using t tests,chi-square tests,and Mann-Whitney U tests.For the statistic data with statisti-cal differences between the two groups,receiver operating characteristic(ROC)curve was used to determine op-timal thresholds for each parameter,and the area under the ROC curve(AUC)and its corresponding 95％ con-fidence interval(CI)were calculated.Multivariate logistic regression analysis was conducted to identify radiolog-ical predictive factors for non-improvement of lumbar symptoms in TSS patients.Results:The non-improvement group was significantly higher than the improvement group in the total score of lumbar stenosis(5.00±1.68 vs 2.68±1.23,P＜0.001),the number of lumbar vertebrae with a stenosis score≥1(2.47±0.84 vs 1.86±0.95,P=0.004),and the prevalence of redundant nerve roots(14/18 vs 6/13,P=0.017).The AUC of the total lumbar stenosis score was 0.864(P＜0.001,95％CI 0.779-0.950),with an optimal threshold of 3.5(sensitivity:81.3％;specificity:75.7％).The AUC of the number of lumbar vertebrae with a stenosis score ≥1 was 0.691(P=0.007;95％CI 0.565-0.817),with an optimal threshold of 1.5(sensitivity:87.5％;specificity:56.8％).Multivariate logistic regression showed that the number of lumbar spinal stenosis＞1.5(OR=1.493;95％CI 0.392-5.686;P=0.557)and presence of redundant nerve roots(OR=2.815;95％CI 0.740-10.711;P=0.129)had no significant relationship with improvement of lumbar symptoms.The total lumbar stenosis score＞3.5 was significantly related with improvement of lumbar symptoms(OR=10.983;95％CI 3.261-36.994;P＜0.001),which was an independent risk factor for non-improvement in lumbar symtoms after initial cervical decompression in TSS patients.Conclusions:When the total score of lumbar spinal stenosis exceeds 3.5 in TSS patients,the possibility of improvement in lumbar symptoms after initial cervical decompression is small.

Objective To establish the reference interval of urine Alzheimer-associated neuronal thread protein(AD7c-NTP)for healthy adults in Mianyang area using the indirect method.Methods The detection results of urine AD7c-NTP from 5 093 healthy in-dividuals were collected from the information management database of Medical Laboratory Department of Sichuan Science City Hospital from March 2017 to March 2022.Skewness-kurtosis and Kolmogorov-Smirnov tests were used to determine whether the data followed a normal distribution.After removing outliers using the Box Plots method,the enrolled subjects were grouped by gender and age.The Mann-Whitney U or Kruska-Wallis H tests were used to analyze the between-group differences of urine AD7c-NTP in healthy individu-als with different genders and ages.The adjacent age groups without statistically significant difference(P＞0.05)were combined,and the indirect method(non-parametric test method)was used to calculate the reference intervals for different gender and age groups.Results Skewness-kurtosis and Kolmogorov-Smirnov tests showed that the data followed a non-normal distribution.After removing 293 outliers using the Box Plots method,a total of 4 800 subjects,including 3 199 males and 1 601 females,were enrolled.The enrolled subjects were grouped by gender and age,and the non-parametric test method were used to establish the reference intervals of urine AD7c-NTP in healthy populations with different genders.The Mann-Whitney U test confirmed that urine AD7c-NTP levels existed gen-der differences(Z=14.09,P＜0.01),and the reference intervals for males and females were≤1.10 ng/mL and≤1.40 ng/mL,re-spectively.There were also statistical differences in urine AD7c-NTP levels among different age groups of the same gender.After combi-ning adjacent age groups without statistically significant difference(P＞0.05),the reference intervals of urine AD7c-NTP in healthy populations with different genders and ages were established by the non-parametric test method,which were≤1.00 ng/mL for male 20-39 years old group,≤1.10 ng/mL for male 40-79 years old group,≤1.60 ng/mL for male≥80 years old group,≤1.30 ng/mL for female 20-69 years old group,and≤1.60 ng/mL for female≥70 years old group,respectively.The established reference intervals of urine AD7c-NTP were further verified by healthy individuals,and the results met the standards.Conclusion The reference intervals of urine AD7c-NTP in healthy populations with different genders and ages in Mianyang area are established successfully using the indi-rect method,which may help to predict the risk of Alzheimer's disease in clinical practice and provide support for the diagnosis and treatment of the disease.

ObjectiveTo investigate the mechanism of liver injury induced by tripterygium glycosides tablets （TG） and the molecular mechanism of compound glycyrrhizin tablets （CG） in alleviating the abnormalities of cholesterol metabolism caused by TG via cholesterol metabolism. MethodsAccording to the body weights， male Sprague-Dawley （SD） rats were randomly grouped as follows： control （pure water）， low-dose TG （TG-L， 189.0 mg·kg^-1·d^-1）， high-dose TG （TG-H， 472.5 mg·kg^-1·d^-1）， TG-L+CG （189.0 mg·kg^-1·d^-1 TG + 20.25 mg·kg^-1·d^-1 CG）， and TG-H+CG （472.5 mg·kg^-1·d^-1 TG + 20.25 mg·kg^-1·d^-1 CG）， with 6 rats in each group. Rats were administrated with corresponding drugs once daily for 3 weeks. At the end of the last administration， the mRNA and protein levels of liver X receptor-alpha （LXR-α）， low-density lipoprotein receptor （LDLR）， adenosine triphosphate-binding cassette transporter A1 （ABCA1）， adenosine triphosphate-binding cassette transporter G1 （ABCG1）， 3-hydroxy-3-methylglutaryl coenzyme A reductase （HMGCR）， cholesterol 7α-hydroxylase （CYP7A1）， cholesterol 12α-hydroxylase （CYP8B1）， and sterol 27-hydroxylase （CYP27A1） in the liver tissue were determined by Real-time PCR and Western blotting， respectively. The level of 3-hydroxy-3-methylglutaryl coenzyme A reductase （HMG-CoAR）， a regulatory enzyme of cholesterol synthesis， was measured by enzyme-linked immunosorbent assay （ELISA）. HepG2 cells were used to observe the effect of TG on the cell proliferation in vitro. Specifically， HepG2 cells were grouped as follows： Low-dose TG （TG-l， 15 mg·L^-1）， medium-dose TG （TG-m， 45 mg·L^-1）， high-dose TG （TG-h， 135 mg·L^-1）， fenofibrate （FB， 10 μmol·L^-1）， CG extract， TG-h+FB （135 mg·L^-1 TG + 10 μmol·L^-1 FB）， TG-m+FB （45 mg·L^-1 TG + 10 μmol·L^-1 FB）， TG-l+FB （15 mg·L^-1 TG + 10 μmol·L^-1 FB）， TG-h+CG （135 mg·L^-1 TG + 60 μmol·L^-1 CG）， TG-m+CG （45 mg·L^-1 TG + 60 μmol·L^-1 CG）， and TG-l+CG （15 mg·L^-1 TG + 60 μmol·L^-1 CG）. The mRNA and protein levels of LXR-α， ABCG1， LDLR， CYP7A1， CYP8B1， and CYP27A1 in HepG2 cells were determined by Real-time PCR and Western blotting， respectively. ResultsThe rat experiment showed that compared with the control group， the TG-H group showed down-regulated mRNA levels of CYP7A1， CYP8B1， and CYP27A1 in the liver tissue （P<0.05， P<0.01）， which were up-regulated by the application of CG （P<0.05， P<0.01）， and the TG-H+CG group showed up-regulated mRNA level of LDLR （P<0.01）. Compared with the control group， the TG-L and TG-H groups showed down-regulated protein levels of LDLR， CYP7A1， and CYP8B1 in the liver tissue （P<0.05， P<0.01）. In addition， the protein levels of ABCG1 and LXR-α were down-regulated in the TG-H and TG-L groups， respectively （P<0.05）. Compared with TG alone， TG+CG up-regulated the protein levels of ABCG1 and LDLR （P<0.05， P<0.01）， and the protein levels of CYP7A1 and CYP8B1 in the TG-H+CG group were up-regulated （P<0.05， P<0.01）. The cell experiment showed that compared with the control group， the TG-h group presented up-regulated mRNA level of LXR-α （P<0.01）， and the TG-m and TG-h groups showcased down-regulated mRNA levels of LDLR and CYP7A1 （P<0.01） and up-regulated mRNA level of CYP27A1 （P<0.01） in HepG2 cells. The combination of CG with TG restored the above changes （P<0.01）. Western blotting results showed that compared with the control group， the TG-m and TG-h groups showed down-regulated protein levels of LXR-α， ABCG1， LDLR， CYP7A1， CYP8B1， and CYP27A1 in HepG2 cells （P<0.01）. Compared with the TG-h group， the TG-h+CG group showed up-regulated protein level of LDLR （P<0.05）. Compared with the TG-m group， the TG-m+CG group showcased up-regulated protein levels of LDLR， ABCG1， CYP7A1， and CYP27A1 （P<0.05， P<0.01）. ConclusionThe administration of TG at 189.0， 472.5 mg·kg^-1 for 3 weeks could modulate the signaling pathways associated with cholesterol efflux， endocytosis， and cholesterol biotransformation in hepatocytes， leading to the accumulation of cholesterol and subsequent liver injury in rats. CG could ameliorate the liver injury induced by lipid metabolism disorders caused by TG by up-regulating the expression of LXR-α， LDLR， ABCG1， CYP7A1， CYP8B1， and CYP27A1 to promote cholesterol biotransformation.

OBJECTIVE: To analyze the acupoint selection patterns and core prescriptions of acupuncture for polycystic ovary syndrome (PCOS) using data mining, and to explore the molecular mechanisms of core acupoints through network acupuncture medicine. METHODS: The randomized controlled trials (RCTs) on acupuncture for PCOS published from January 1, 2004 to July 21, 2024 were retrieved from CNKI, VIP, Wanfang, PubMed, and Web of Science databases. R software (version 4.4.0) was used for acupoint frequency and association rule analysis to identify core acupoint prescriptions. Potential targets were predicted via the STITCH and Swiss Target Prediction databases, and a "core prescription-active compounds-targets- PCOS" network was constructed. Cytoscape 3.7.1 was applied to build protein-protein interaction (PPI) networks of potential targets of core acupoint prescriptions. Key therapeutic targets were subjected to gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses using the DAVID and Microbioinformatics platforms. RESULTS: A total of 176 RCTs were included, covering 208 prescriptions and 89 acupoints. The five most frequently used acupoints were Guanyuan (CV4), Sanyinjiao (SP6), Zigong (EX-CA1), Zusanli (ST36) and Zhongji (CV3). Association rule analysis yielded 13 core acupoint combinations, with Guanyuan (CV4), Sanyinjiao (SP6), Zigong (EX-CA1) and Zusanli (ST36) as the core prescription. Twenty-seven active compounds were involved, with 852 potential therapeutic targets, among which 208 targets overlapped with PCOS-related targets. Network acupuncture medicine analysis suggested that the core prescription may act through targets such as estrogen receptor 1 (ESR1), proto-oncogene tyrosine-protein kinase Src (SRC), signal transducer and activator of transcription 3 (STAT3), peroxisome proliferator-activated receptor gamma (PPARG), and RAC-alpha serine/threonine-protein kinase (AKT1). GO and KEGG analyses indicated that the main pathways included the hypoxia-inducible factor 1 (HIF-1) signaling pathway, phosphatidylinositol 3-kinase-protein kinase B (PI3K-AKT) signaling pathway, and advanced glycation end products-receptor for advanced glycation end products (AGE-RAGE) signaling pathway, involving processes such as signal transduction, receptor complex formation, and cytokine activity. CONCLUSION The core acupoint prescription for PCOS might exert therapeutic effects through multiple targets and pathways, providing a theoretical basis for mechanistic research on acupoint prescriptions.
Humans ; Acupuncture Therapy ; Data Mining ; Acupuncture Points ; Polycystic Ovary Syndrome/metabolism* ; Female ; Protein Interaction Maps ; Randomized Controlled Trials as Topic

Proteolysis-targeting chimeras(PROTACs)represent a promising class of drugs that can target disease-causing proteins more effectively than traditional small molecule inhibitors can,potentially revolu-tionizing drug discovery and treatment strategies.However,the links between in vitro and in vivo data are poorly understood,hindering a comprehensive understanding of the absorption,distribution,metabolism,and excretion(ADME)of PROTACs.In this work,14C-labeled vepdegestrant(ARV-471),which is currently in phase Ⅲ clinical trials for breast cancer,was synthesized as a model PROTAC to characterize its preclinical ADME properties and simulate its clinical pharmacokinetics(PK)by estab-lishing a physiologically based pharmacokinetics(PBPK)model.For in vitro-in vivo extrapolation(IVIVE),hepatocyte clearance correlated more closely with in vivo rat PK data than liver microsomal clearance did.PBPK models,which were initially developed and validated in rats,accurately simulate ARV-471's PK across fed and fasted states,with parameters within 1.75-fold of the observed values.Human models,informed by in vitro ADME data,closely mirrored postoral dose plasma profiles at 30 mg.Furthermore,no human-specific metabolites were identified in vitro and the metabolic profile of rats could overlap that of humans.This work presents a roadmap for developing future PROTAC medications by elucidating the correlation between in vitro and in vivo characteristics.