To analyze the disease burden of hypertension in the elderly population from 1990 to 2021 and to predict future trends in China and globally, thereby providing insights for public health decision-making regarding older adults with hypertension in China.

Objective: To investigate the influencing factors for cognitive function among aluminum workers, so as to provide the basis for intervention and prevention of cognitive function among aluminum-exposed populations. Methods: From July to August 2019, male aluminum workers in the electrolytic aluminum workshop of an aluminum factory in Shanxi Province were selected using the cluster sampling method. Demographic information, prevalence of chronic diseases, lifestyle behaviors, night shifts, and sleep quality were collected through questionnaire surveys. Blood aluminum levels were measured using inductively coupled plasma-mass spectrometry. Cognitive function was investigated using the Montreal Cognitive Assessment. Factors affecting cognitive function among aluminum workers were analyzed by a quantile regression model. Results: A total of 142 aluminum workers were surveyed, including 57 workers aged 20 to <40 years (40.14%) and 85 workers aged 40 to 60 years (59.86%). The median blood aluminum level was 38.23 (interquartile range, 21.82) μg/L. The median cognitive function score was 24.00 (interquartile range, 3.00) points. Quantile regression analysis revealed that older age (βQ5=-0.186, 95%CI: -0.269 to -0.102), lower educational level (βQ5=1.933, 95%CI: 1.029 to 2.838; βQ10=1.743, 95%CI: 0.480 to 3.006; βQ50=1.038, 95%CI: 0.141 to 1.935; βQ75=1.006, 95%CI: 0.437 to 1.575; βQ90=1.111, 95%CI: 0.291 to 1.930), smoking (βQ5=-2.056, 95%CI: -3.264 to -0.849), alcohol consumption (βQ5=-1.821, 95%CI: -3.247 to -0.396) and higher blood aluminum level (βQ5=-0.075, 95%CI: -0.110 to -0.040; βQ10=-0.078, 95%CI: -0.127 to -0.029; βQ50=-0.075, 95%CI: -0.110 to -0.040; βQ75=-0.057, 95%CI: -0.079 to -0.035; βQ90=-0.067, 95%CI: -0.099 to -0.035) were associated with cognitive function decline among aluminum workers. Conclusions Educational level and blood aluminum level are the main factors affecting the cognitive function among aluminum workers. Among those with lower cognitive function scores, age, smoking and alcohol consumption are also associated with cognitive function.

ObjectiveTo investigate the protective effects and mechanisms of Bushen Zhuyun prescription （BSZY） on abortion rats with kidney deficiency-corpus luteum inhibition syndrome. MethodsAn abortion rat model with kidney deficiency-corpus luteum inhibition syndrome was constructed. Pregnant mice aged 8-10 weeks were randomly divided into a control group （Control）， a model group （Model）， low-dose BSZY （BSZY-L）， medium-dose BSZY （BSZY-M）， and high-dose BSZY （BSZY-H） groups （2.57， 5.14， 10.28 g·kg^-¹）， and a Zishen Yutai Pill （ZSYT） group （1.575 g·kg^-¹）. Hematoxylin-eosin （HE） staining was used to evaluate histopathological changes in ovarian and decidual tissue of rats in each group. Enzyme-linked immunosorbent assay （ELISA） was employed to measure levels of estrogen （E₂）， progesterone （P）， luteinizing hormone （LH）， prolactin （PRL）， and follicle-stimulating hormone （FSH） in serum. The candidate targets of BSZY were obtained from the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） and Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP） v2.0 databases， while disease targets for recurrent spontaneous abortion （RSA） were retrieved from GeneCards， DrugBank， Online Mendelian Inheritance in Man （OMIM）， and Therapeutic Target Database （TTD）. The intersection targets were identified by the Venny 2.1.0 platform. Pathway enrichment analysis was conducted based on the Metascape database to predict the potential mechanisms of BSZY. Additionally. Western blot was used to verify the effects of BSZY on the expression of estrogen receptor （ERα）， phosphatidylinositol 3-kinase （PI3K）， and protein kinase B （Akt） and explore its protective mechanism on RSA rats. ResultsCompared with the control group， the model group exhibited significantly decreased uterine， ovarian， and embryonic wet weights （P<0.05， P<0.01）， with an abortion rate of 57.18%. The ovarian tissue showed varying degrees of reduction in primordial follicles， primary follicles， mature follicles， and corpora lutea， along with a large number of atretic follicles. The endometrium was thinner， and decidual tissue exhibited cellular edema and disorganized arrangement. In contrast， compared with the model group， the BSZY groups at all doses and the ZSYT group demonstrated increased uterine， ovarian， and embryonic wet weights， along with a reduced abortion rate. The number of primordial follicles， primary follicles， mature follicles， and corpora lutea increased， while atretic follicles decreased. The endometrium thickened， and decidual tissue displayed normal cellular structure with tight arrangement. Additionally， the model group showed significantly decreased levels of E₂， P， PRL， and FSH in serum （P<0.05， P<0.01）， along with a decreasing trend in LH level. In contrast， the BSZY groups at all doses exhibited significantly elevated levels of E₂， P， LH， PRL， and FSH in serum （P<0.05， P<0.01）. Network pharmacology predictions suggested that BSZY may exert protective effects against abortion in rats by activating the ERα/PI3K/Akt signaling pathway. Western blot results confirmed that BSZY significantly upregulated the expression of ERα， PI3K， and p-Akt proteins （P<0.05， P<0.01）. ConclusionBSZY has a protective effect on the abortion rats with kidney deficiency-corpus luteum inhibition syndrome， possibly by activating the ERα/PI3K/Akt signaling pathway to reduce ovarian apoptosis and regulate endocrine function， thereby lowering the abortion rate.

Background Some studies have suggested that exposure to multiple metals is closely linked to the development of metabolic syndrome (MS) in the populations, but the effect of aluminum exposure on MS remains unclear. Objective To analyze the prevalence and influencing factors of MS among employees with aluminum exposure in Shanxi Province. Methods Cluster sampling was employed to survey male frontline workers in an aluminum factory in Shanxi Province. Data on general demographic information, lifestyle, occupational history, medical history, and family history of chronic diseases were collected through questionnaires. The concentration of fasting blood glucose was determined using the glucose oxidase technique, and blood lipid levels were determined using the peroxidase method. Serum aluminum levels were detected using inductively coupled plasma-mass spectrometry (ICP-MS), and blood biochemical indicators were measured using the peroxidase method. Based on the China's 2020 diagnostic criteria for MS, the participants were and divided into an MS group anda non-MS group. Variables with statistical significance in univariate analysis were included to construct a logistic regression model. Results A cohort of 312 workers participated in this research, with 84 individuals diagnosed with MS, yielding a prevalence rate of 26.92%. The logistic regression model revealed that body mass index (BMI)≥24.0 kg·m⁻² (OR=1.967, 95%CI: 1.057, 3.659), alcohol consumption (OR=1.883, 95%CI: 1.063, 3.336), experiencing major life event (OR=3.886, 95%CI: 1.509, 10.008), family history of hypertension (OR=2.112, 95%CI: 1.162, 3.837), serum aluminum concentration (OR=1.024, 95%CI: 1.012, 1.035), alanine aminotransferase (ALT) level (OR=1.032, 95%CI: 1.011, 1.054), and white blood cell (WBC) count (OR=1.210, 95%CI: 1.001, 1.465) were significant influencing factors for MS. Conclusion BMI≥24.0 kg·m⁻², alcohol consumption, experiencing major life event, family history of hypertension, elevated serum aluminum concentration, increased ALT level, and elevated WBC count are risk factors for MS among occupationally aluminum-exposed workers.

Pulmonary fibrosis is a difficult to treat fibrotic disease with multiple triggering factors and complex pathogenesis. It is characterized by diffuse inflammatory damage, tissue structure destruction, and persistent fibrosis, resulting in irreversible damage to lung function. The Hippo signaling pathway is involved in regulating various biological processes such as cell proliferation, differentiation, migration, apoptosis, and is closely related to the occurrence of pulmonary fibrosis. In order to further explore the mechanism of pulmonary fibrosis, this paper comprehensively analyzes the Hippo signaling pathway and its cellular and pathological imbalance related to pulmonary fibrosis, revealing the influence of Hippo signaling pathway in pulmonary fibrosis and its possible mechanism of action, which is expected to provide new targets and strategies for the prevention and treatment of pulmonary fibrosis.

Objective:To screen differential proteins in the serum of workers with rare earth samarium oxide pneumoconiosis, in order to provide new ideas for finding its early diagnostic biomarkers.Methods:In April 2019, three male workers diagnosed with samarium oxide pneumoconiosis at a rare earth factory in Baotou City, Inner Mongolia Autonomous Region were selected as the observation group, and three male workers who were not exposed to dust were selected as the control group. The serum was sequenced using the Label-free proteomic method to screen for differentially expressed proteins, followed by cluster of orthologous groups of proteins (COG) annotation, gene ontology (GO) enrichment analysis, and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis. The interaction gene library retrieval tool database and Cytoscape 3.9.1 software were used to draw protein-protein interaction networks. CytoHubba plugin was used to screen for differentially expressed proteins with high scores, and real-time fluorescence quantitative polymerase chain reaction (RT/q-PCR) was used to validate the proteomic sequencing results.Results:A total of 45 up-regulated differentially expressed proteins and 5 down-regulated differentially expressed proteins were screened out in the serum of workers with rare earth samarium oxide pneumoconiosis. In the COG functional classification, post-translational modifications, protein turnover, and chaperones were the most numerous. GO enrichment included 25 entries for biological processes such as complement activation (classical pathways), 15 entries for cellular components such as extracellular recombinants, and 10 entries for molecular functions such as protein binding. The pathways identified by KEGG enrichment analysis mainly included infectious diseases, immune system, signal transduction, and immune related diseases. The top 10 scoring proteins were haptoglobin, complement C1r subcomponent, complement C1s subcomponent, apolipoprotein C-Ⅲ, apolipoprotein A-Ⅱ, prothrombin, afamin, complement component C8 gamma chain, complement component C6, complement component C7. The RT/q-PCR validation results showed that the mRNA expression levels of haptoglobin, prothrombin and complement C1s subcomponent in the observation group were significantly higher than those in the control group, and the differences were statistically significant ( P<0.05) . Conclusion:Ten differentially expressed proteins in the serum of workers with rare earth samarium oxide pneumoconiosis are screened, which provides a good idea for the screening of biomarkers for early diagnosis of samarium oxide pneumoconiosis.

Objective:To investigate the clinical value of multiparameteric quantitative ultrasound combined with a non-invasive prediction model for assessing high-risk steatohepatitis.Methods:One hundred and ninety-four cases with metabolic-associated fatty liver disease (MAFLD) who underwent liver biopsy in Huashan Hospital, Fudan University, from June 2021 to September 2022 were selected. Shear wave elastography (SWE), shear wave dispersion (SWD) imaging, and attenuation imaging (ATI) examinations were conducted in all patients before biopsy. High-risk steatohepatitis was defined as a total activity score of ≥4 in patients with steatohepatitis, hepatocellular ballooning, and liver lobular inflammation based on pathological hepatic steatosis, inflammatory activity, and fibrosis scoring system (SAF), and fibrosis stage≥F2. Binary logistic regression analysis was used to identify the factors influencing high-risk steatohepatitis. A predictive model for diagnosing high-risk steatohepatitis was constructed using R language. The DeLong test was used to compare the area under the curve between groups. Measurement data was compared between groups using the t-test or rank-sum test, and count data were compared between groups using the χ2 test. Results:There were 46 cases (23.7%) with high-risk steatohepatitis. The quantitative ultrasound parameters included elastic modulus ( OR=2.958, 95% CI: 1.889-4.883, P<0.001), dispersion coefficient ( OR=1.786, 95% CI: 1.424-2.292, P<0.001) and attenuation coefficient ( OR=42.642, 95% CI: 3.463-640.451, P=0.004). Serological indexes of fasting blood glucose ( OR=1.196, 95% CI: 1.048-1.392, P=0.011), alanine aminotransferase ( OR=1.012, 95% CI: 1.006-1.019, P<0.001), aspartate aminotransferase ( OR=1.027, 95% CI: 1.014-1.042, P<0.001), γ-glutamyl transferase ( OR=1.008, 95% CI: 1.001-1.017, P=0.041) and HDL cholesterol ( OR=0.087, 95% CI: 0.016-0.404, P=0.003) were the factors influencing its progression. The AUCs of elastic modulus, dispersion coefficient, attenuation coefficient, multiparametric ultrasound model, serological index model, and ultrasound combined with serology model for the diagnosis of high-risk steatohepatitis were 0.764, 0.758, 0.634, 0.786, 0.773 and 0.825, respectively. The results of the DeLong test showed that the ultrasound combined with the serological model was significantly better than the serological index model and the elastic modulus, dispersion coefficient, and attenuation coefficient alone ( P=0.024, 0.027, 0.038 and <0.001). Conclusion:The combination of multiparametric quantitative ultrasound is helpful for the non-invasive diagnosis of high-risk steatohepatitis and possesses great clinical significance.

Cell metabolism is one of the basic characteristics of life, and the host metabolic state is closely related to the process and outcome of viral infection. Viruses can use the metabolites in host cells to complete the life cycle. When the virus particles are adsorbed onto the surface of the susceptible cells and enter the cells, a series of biomolecules synthesized by the host cells are involved in the intracellular transport of the virus. Thus, the virus completes its replication cycle and infects more cells. Besides, metabolic reactions and metabolites can regulate the host antiviral responses at various stages of viral infection, thus affecting the outcome of viral infection. Therefore, cell metabolism plays key roles in affecting viral infection and host antiviral responses. In this paper, the effects of cell metabolism on the interaction between viruses and host cells will be described from the six stages of virus replication cycle in vivo.

Objective:To investigate the correlation between liver stiffness and histopathological changes in a rat model of acute hepatitis using virtual touch tissue imaging quantification (VTIQ) technology.Methods:A total of 100 SPF-grade SD rats were randomly divided into 3 groups: control ( n=30), low-dose ( n=35), and high-dose ( n=35) groups. Acute hepatitis models were induced in the low-dose and high-dose groups using 400 mg/kg and 600 mg/kg of Thioacetamide (TAA), respectively. Liver stiffness parameters of the right median lobe and right lobe were measured using VTIQ technology, Mean-H and Mean-L represent the liver lobes with higher and lower liver stiffness measurments, respectively, while Mean represent the average of the measurements from both liver lobes. Comparative analyses of liver stiffness parameters were performed across three groups and between the two lobes of the liver. The correlations between the Mean values of liver stiffness and semi-quantitative histopathological data were investigated. Ten rats were randomly selected from each of the 3 groups to test the repeatability of VTIQ values before and after euthanasia with intraperitoneal anesthesia. Subsequently, 10 rats after euthanasia from each 3 group were randomly chosen to assess the repeatability of VTIQ measurements for inter-observer and intra-observer variabilities. Results:VTIQ results showed statistically significant differences in Mean, Mean-H, and Mean-L among the 3 groups (all P<0.01). The high-dose group had higher measurements compared to the low-dose and control groups, with significant intergroup differences (all P<0.01). Significant differences in Mean-H and Mean-L were observed between the two liver lobes in both low and high-dose groups (all P<0.01). The Mean value showed significant positive correlations with semi-quantitative histopathological data of hepatocellular edema, periportal inflammatory cell infiltration, macrophage proliferation, and bile duct proliferation ( r=0.391, 0.648, 0.577, 0.542; all P<0.01). Multivariate linear regression analysis indicated that hepatocellular edema, eosinophilic change, and bile duct proliferation significantly and positively predicted the Mean value (β=-0.278, -0.196, -0.333; all P<0.05). There were no significant differences of VTIQ measurements befor and after euthanasia (all P>0.05), with repeatability coefficients of 0.166, 0.182, 0.185 for Mean, Mean-H, and Mean-L, respectively. Post-euthanasia, inter- and intra-observer VTIQ differences remained non-significant (all P>0.05), with Mean, Mean-H, Mean-L coefficients of 0.114, 0.194, 0.165 and 0.206, 0.322, 0.268, respectively. Conclusions:VTIQ technology demonstrates potential clinical value in assessing a rat model of acute hepatitis, offering a new perspective for non-invasive evaluation of acute hepatitis. However, its clinical application requires further validation.

Objective:To investigate the impact of the interval period between biopsy and MR examination on tumor detection and extraprostatic extension (EPE) assessment for prostate cancer (PCa) using multi-parametric MRI (mpMRI).Methods:The study was cross-sectional and retrospectively included 130 patients with PCa who underwent RP and preoperative systematic biopsies followed by mpMRI between January 2021 and December 2022 in the First Medical Center of Chinese PLA General Hospital. Patients were divided into 3 groups according to interval following biopsy (group A,<3 weeks, 31 cases; group B, 3-6 weeks, 67 cases; group C,>6 weeks, 32 cases). The percentages of hemorrhage volume in the total prostate were drawn on T 1WI and calculated. The junior, senior and expert radiologists independently localized the index lesions and calculated the accuracy for tumor detection, in addition to assessing the probabilities of EPE according to EPE grade. The correlation between the hemorrhage extent and interval was analyzed using the Spearman correlation coefficient. The accuracy for tumor detection was compared using χ2 test among groups. The diagnostic performance of the radiologists for EPE prediction was assessed using the receiver operating characteristic curve, and the differences between the corresponding area under the curve (AUC) were compared using the DeLong test. Results:The percentage of hemorrhage was correlated with the interval between biopsy and MR examination ( r=-0.325, P<0.001). The detection accuracy of junior radiologist was 83.9% (26/31), 76.1% (51/67), and 78.1% (25/32) in group A, B and C, respectively; no differences were observed in the detection accuracy among three groups ( χ2=0.76, P=0.685). The detection accuracy of senior radiologist was 83.9% (26/31), 80.6% (54/67), and 71.9% (23/32) in 3 groups with no differences ( χ2=1.53, P=0.464). The detection accuracy of expert radiologist was 80.6% (25/31), 77.6% (52/67), and 93.8% (30/32) with no differences ( χ2=3.95, P=0.139). The AUC (95% CI) for predicting EPE were 0.830 (0.652-0.940), 0.704 (0.580-0.809), 0.800 (0.621-0.920) in the group A, B and C for junior radiologist; 0.876 (0.708-0.966), 0.768 (0.659-0.863), 0.896 (0.736-0.975) for senior radiologist; and 0.866 (0.695-0.961), 0.813 (0.699-0.895), 0.852 (0.682-0.952) for expert radiologist, respectively. No differences were observed among the subgroups in each radiologist ( P>0.05). Conclusion:The interval period does not significantly affect the detection accuracy and EPE assessment of PCa using mpMRI. There is probably no necessity for prolonged intervals following systematic biopsy to preserve the clarity of MRI interpretation for PCa.