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.

Objective:To investigate the influencing factors for splenomegaly secondary to acute pancreatitis (AP) and construction of a nomogram prediction model.Methods:The retrospective case-control study was conducted. The clinicopathological data of 180 patients with AP who were admitted to Xuanwu Hospital of Capital Medical University from December 2017 to December 2021 were collected. There were 124 males and 56 females, aged (49±15) years. Among them, 60 AP patients who developed secondary splenomegaly were taken as the case group, including 48 males and 12 females, aged (47±13)years, and the rest of 120 cases of AP without secondary splenomegaly were taken as the control group, including 76 males and 44 females, aged (50±16)years. Observation indicators: (1) occurrence and clinical characteristics of splenomegaly secondary to AP; (2) influencing factors for splenomegaly secondary to AP; (3) construction and evaluation of a nomogram prediction model for splenomegaly secondary to AP. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was analyzed using the rank sum test. Count data were represented as absolute numbers, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. The univariate analysis was performed using statistical methods appropriate to the data type. The optimal cut-off value was determined by the receiver operating characteristic curves. Multivariate analysis was conducted using the Logistic regression model with forward method. Based on the results of the multivariate analysis, a nomogram prediction model was constructed. The receiver operating characteristic curve was drawn, and the discrimination was evaluated using the area under curve. The consistency of the nomogram prediction model was evaluated using calibration curve, and its clinical benefit was evaluated using decision curve. Results:(1) Occurrence and clinical characteristics of splenomegaly secondary to AP. The first detection time of 60 patients with splenomegaly secondary to AP was 60(30,120)days after the onset of AP. Cases with persistent respiratory dysfunction, multiple organ failure, severity of illness as mild or moderately severe/severe, pancreatic and/or peripancreatic infection, surgery were 19, 17, 4, 56, 37, 32 for 60 patients with splenomegaly secondary to AP, versus 16, 19, 43, 77, 39, 29 for 120 patients without splenomegaly secondary to AP, respectively, showing significant differences in the above indicators between the two groups ( χ2=8.58, 3.91, 17.64, 13.95, 15.19, P<0.05). (2) Influencing factors for splenomegaly secondary to AP. Resuts of multivariate analysis showed that white blood cell count <5.775×10?/L within 24 hours of AP onset, revised computed tomography (CT) severity index >7 in 3-7 days after onset and the presence of local complications were independent risk factors influencing the splenomegaly secondary to AP ( odds ratio=3.85, 2.86, 6.40, 95% confidence interval as 1.68-8.85, 1.18-6.95, 1.56-26.35, P<0.05). (4) Construction and evaluation of a nomogram prediction model for splenomegaly secondary to AP. The nomogram prediction model was constructed based on white blood cell count within 24 hours of AP onset, revised CT severity index in 3-7 days after onset and local complications. The area under the receiver operating characteristic curve of the nomogram prediction model was 0.76 (95% confidence interval as 0.69-0.83, P<0.05), with a sensitivity of 0.87 and a specificity of 0.55. The calibration curve demonstrated consistency between the predicted rate from the nomogram prediction model and the actually observed rate. The decision curve analysis indicated that the nomogram prediction model had favorable clinical practicability. Conclusions:Patients with AP who develop secondary splenomegaly tend to have a higher severity of illness than those develop no secondary splenomegaly. White blood cell count <5.775×10?/L within 24 hours of AP onset, revised CT severity index >7 in 3-7 days after onset and presence of local complications are independent risk factors influencing splenomegaly secondary to AP, and its nomogram prediction model can predict incidence rate of splenomegaly secondary to AP.

Background Quartz dust cannot be degraded in the lungs, and inhalation of a large amount of quartz dust in the occupational production process will lead to the occurrence of pulmonary fibrosis, and then develop into silicosis. In recent years, studies have found that exosomes may be involved in the pathogenesis of fibrotic diseases by carrying microribonucleic acid (miRNA), but the mechanism of their actions in silicosis still needs to be studied. Objective To investigate the role of exosome-derived miRNA-21-5p/mothers against decapentaplegic homolog 7 (Smad7) in quartz dust-induced pulmonary fibrosis in rats. Methods Twenty-four healthy male SD rats were randomly divided into four groups (six rats in each group): control 4-week group, control 16-week group, quartz 4-week group, and quartz 16-week group. At the beginning of the experiment, 1 mL of quartz suspension (50 mg·mL⁻¹) and 1 mL of normal saline were injected into the trachea of rats in the quartz group and the control group, respectively, by means of one-time non-exposure intratracheal dust staining. Alveolar lavage was performed at the 4th and 16th weeks after dust staining, the exosomes in lavage solution were extracted by polyethylene glycol (PEG) precipitation, morphological identification was conducted by transmission electron microscopy (TEM), particle size of exosomes was detected by nano-tracking analysis (NTA), and the marker proteins CD9 and CD63 of exosomes were detected by Western blotting (WB). The expression of miRNA-21-5p in exosomes was determined by reverse transcription polymerase chain reaction (RT-PCR). The degree of lung tissue injury and fibrosis was observed by hematoxylin-eosin staining (HE) and Masson staining. The collagen content of lung tissue was detected by hydroxyproline (HYP) method. The expression of Smad7 protein in lung tissue was detected by WB. Results The results of pathological staining showed that compared with the control group, lung inflammatory cell infiltration, alveolar wall thickening, and collagen increase were observed after 4 weeks of dusting, and collagen deposition and silicon nodules appeared after 16 weeks of dusting. Compared with the control group, the expression level of HYP in the lung tissue of the quartz group was increased after 4 weeks and 16 weeks of dust staining (P<0.05). Transmission electron microscopy showed that exosomes were saucer-shaped, and the average particle size of exosomes was 95.8 nm by NTA. Positive expression of exosome marker proteins CD9 and CD81 was found by WB. Compared with the control group, the expression of exosome-derived miRNA-21-5p in alveolar lavage fluid in the quartz group increased in the 4th week and the 16th week (P<0.05), and the expression of Smad7 protein in lung tissue decreased (P<0.05). Conclusion Exosome-derived miRNA-21-5p and Smad7 may be involved in the mechanism of quartz dust-induced pulmonary fibrosis in rats.

Objective: To investigate the causal relationship between gut microbiota and polycystic ovary syndrome (PCOS) using a Mendelian randomization (MR) study, so as to provide insights into the pathogenesis of PCOS and the formulation of prevention and treatment strategies. Methods: The genetic data on gut microbiota was derived from a meta-analysis of genome-wide association studies (GWAS) involving 18 340 participants. The genetic data on PCOS was sourced from two GWAS meta-analyses in European populations, serving as the discovery set and the validation set, respectively. A two-sample MR analysis was conducted using the discovery set, with the inverse variance weighted (IVW) method as the primary approach. Sensitivity analyses employed the weighted median method, MR-Egger regression, and the MR-PRESSO test. The validation set was utilized for verification, and a meta-analysis was performed to combine the results from the two datasets. Results: Forward MR analysis results showed that nine types of gut microbiota were statistically associated with PCOS (all P<0.05). Specifically, the association of family Streptococcaceae (OR=1.442, 95%CI: 1.097-1.895), genus Actinomyces (OR=1.359, 95%CI: 1.036-1.784), genus Ruminococcaceae UCG 011 (OR=0.755, 95%CI: 0.619-0.921), genus Sellimonas (OR=0.766, 95%CI: 0.657-0.893) and genus Streptococcus with PCOS (OR=1.496, 95%CI: 1.136-1.972) remained consistent in the sensitivity analysis. Reverse MR analysis showed no evidence for the causal association between PCOS and the aforementioned five types of gut microbiota (all P>0.05). The MR analysis results of the validation set showed that there was no statistical association between the aforementioned five types of gut microbiota and PCOS (all P>0.05). However, the associations remained significant for genus Actinomyces (OR=1.226,95%CI：1.010-1.503) and genus Streptococcus (OR=1.266,95%CI：1.042-1.452) in the meta-analysis (both P<0.05). Conclusion This study provides the evidence that genus Actinomyces and genus Streptococcus are causally associated with PCOS.