ObjectiveTo explore the effects of Renshentang on atherosclerosis （AS） in mice based on the role of transient receptor potential vanilloid1 （TRPV1） in regulating cholesterol metabolism in foam cells. MethodsNine SPF-grade 8-week-old C57BL/6J mice were set as a normal group， and 60 ApoE^-/- mice were randomized into model， positive drug （simvastatin， 0.02 g·kg^-1·d^-1）， and low-， medium-， and high-dose （1.77， 3.54， 7.08 g·kg^-1·d^-1， respectively） Renshentang groups （n=12） according to body weight. The normal group was fed with a normal diet， and the other groups were fed with a high-fat diet and given corresponding drugs by oral gavage for the modeling of AS. The mice were administrated with corresponding drugs once a day for 12 weeks. After the last administration and fasting for 12 h， the aorta was collected. Plaque conditions， pathological changes， levels of total cholesterol （TC）， triglcerides （TG）， low-density lipoprotein-cholesterol （LDL-C）， and high-density lipoprotein-cholesterol （HDL-C）， and the expression of TRPV1， liver X receptor （LXR）， inducible degrader of the low-density lipoprotein receptor （IDOL）， and low-density lipoprotein receptor （LDLR） in the aortic tissue were observed and detected by gross oil red O staining， HE staining， Western blot， immunohistochemistry， and real-time PCR. ResultsCompared with the normal group， the model group presented obvious plaque deposition in the aorta， raised levels of TC， TG， and LDL-C in the serum （P<0.01）， up-regulated expression level of LDLR in the aorta （P<0.01）， lowered level of HDL-C in the serum， and down-regulated expression levels of TRPV1， LXR， and IDOL in the aorta （P<0.05， P<0.01）. Compared with the model group， the positive drug and Renshentang at different doses alleviated AS， elevated the levels of HDL-C， TRPV1， LXR， and IDOL （P<0.05， P<0.01）， while lowering the levels of TC， TG， LDL-C， and LDLR （P<0.05， P<0.01）. ConclusionRenshentang has a lipid-lowering effect on AS mice. It can effectively reduce lipid deposition， lipid levels， and plaque area of AS mice by activating TRPV1 expression and regulating the LXR/IDOL/LDLR pathway.

ObjectiveTo explore the effects of Renshentang on atherosclerosis （AS） in mice based on the role of transient receptor potential vanilloid1 （TRPV1） in regulating cholesterol metabolism in foam cells. MethodsNine SPF-grade 8-week-old C57BL/6J mice were set as a normal group， and 60 ApoE^-/- mice were randomized into model， positive drug （simvastatin， 0.02 g·kg^-1·d^-1）， and low-， medium-， and high-dose （1.77， 3.54， 7.08 g·kg^-1·d^-1， respectively） Renshentang groups （n=12） according to body weight. The normal group was fed with a normal diet， and the other groups were fed with a high-fat diet and given corresponding drugs by oral gavage for the modeling of AS. The mice were administrated with corresponding drugs once a day for 12 weeks. After the last administration and fasting for 12 h， the aorta was collected. Plaque conditions， pathological changes， levels of total cholesterol （TC）， triglcerides （TG）， low-density lipoprotein-cholesterol （LDL-C）， and high-density lipoprotein-cholesterol （HDL-C）， and the expression of TRPV1， liver X receptor （LXR）， inducible degrader of the low-density lipoprotein receptor （IDOL）， and low-density lipoprotein receptor （LDLR） in the aortic tissue were observed and detected by gross oil red O staining， HE staining， Western blot， immunohistochemistry， and real-time PCR. ResultsCompared with the normal group， the model group presented obvious plaque deposition in the aorta， raised levels of TC， TG， and LDL-C in the serum （P<0.01）， up-regulated expression level of LDLR in the aorta （P<0.01）， lowered level of HDL-C in the serum， and down-regulated expression levels of TRPV1， LXR， and IDOL in the aorta （P<0.05， P<0.01）. Compared with the model group， the positive drug and Renshentang at different doses alleviated AS， elevated the levels of HDL-C， TRPV1， LXR， and IDOL （P<0.05， P<0.01）， while lowering the levels of TC， TG， LDL-C， and LDLR （P<0.05， P<0.01）. ConclusionRenshentang has a lipid-lowering effect on AS mice. It can effectively reduce lipid deposition， lipid levels， and plaque area of AS mice by activating TRPV1 expression and regulating the LXR/IDOL/LDLR pathway.

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.

China is a high-incidence region for gastric cancer globally. The disease is characterized by a high morbidity rate, low early diagnostic rate, and poor long-term outcomes, imposing a significant burden on both patients and society. Therefore, exploring the pathogenesis of gastric cancer, developing novel therapeutic strategies, and identifying new drug targets is of great importance. Telomerase expression is broadly associated with cancer cell targeting, and its up-regulation is one of the key factors driving the initiation and progression of gastric cancer. Additionally, telomerase is intricately involved in the regulation of autophagy and autophagy-associated cell death. While autophagy can induce chemoresistance, excessive autophagy may lead to cell death, which also constitutes one of the mechanisms of chemotherapy. Telomerase not only directly contributes to gastric cancer pathogenesis but also indirectly influences its development and treatment by modulating autophagy and autophagic cell death. Therefore, telomerase holds promise as a novel therapeutic target in gastric cancer.
Humans ; Stomach Neoplasms/genetics* ; Telomerase/genetics* ; Autophagy/physiology*

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.

Glioma is the most common primary malignant tumor of the central nervous system in adults. Despite the standard treatment of surgery combined with radiotherapy and chemotherapy, the prognosis for high-grade glioma patients remains poor, highlighting the urgent need to further explore its pathogenesis and develop new therapeutic strategies. This article reviews the research progress in the field of glioma in China in 2024, covering tumorigenesis mechanisms, tumor immune microenvironment composition, advances in imaging techniques and novel imaging agents, improvements in surgical approaches, mechanisms of radio- and chemoresistance, and explorations of new therapeutic modalities. These studies provide a solid theoretical foundation for advancing clinical diagnosis and treatment of gliomas and may offer new opportunities to improve patient outcomes.

There are many kinds of zirconia repair materials that have been introduced at home and abroad.Mechanical and aesthetic properties are the important factors for selecting zirconia materials.The process of diagnosis and treatment by dentists and the production by the workers in laboratory affect the final repair effects.To achieve accurate and efficient simulation of dental repair and treatment,effective cooperation between dentists and technicians is required.In this paper,the factors affecting mechanical and aes-thetic properties in the process of material selection,tooth wearing,restoration design and fabrication,concerning zirconia veneer,sin-gle-crown,fixed bridge and edentulous jaw implant fixed repair were discussed and summarized.The common failure reasons were ana-lyzed in order to improve the communication efficiency between dentists and technicians in the process of zirconia repair system and to a-chieve better repair effects.

Background In vitro-in vivo extrapolation (IVIVE) is an approach utilizing in vitro experimental data to predict in vivo phenomena. It is a promising tool for chemical risk assessment. Objective To learn the hotspots, evolution path, and trend of IVIVE in risk assessment by literature search and bibliometric analysis, and provide reference and data support for subsequent research. Methods PubMed and Web of Science Core Collection were selected as foreign databases to search for literature about IVIVE applied in risk assessment published by December 31, 2023. The number of relevant documents in CNKI and Wanfang database was too small, so the Chinese databases were not included in this study. This study employed bibilometric analysis using VOSviewer and CiteSpace for visualizing networks categorized by author, institution, country, journal, keyword, and co-citation. Results A total of 189 articles were included in this study. The first article was published in 2006, and since then the number of publications overall showed an upward trend and increased significantly after 2016. The institution with the most publications was the United States Environmental Protection Agency (28 articles). The United States was the most productive country (87 articles), and had a close cooperation with the United Kingdom. The journal with the most publications and the highest number of citations per article was Archives of Toxicology (19 articles). The keyword co-occurrence analysis suggested that research on IVIVE in risk assessment mainly studied the methods and models of IVIVE and prediction of chemical toxicity, and toxicity, in vitro, and models were the research hotspots in this field. Keyword timeline cluster analysis suggested that the assessment objects gradually expanded from drugs to environmental chemicals, organic chemicals and food additives. The co-citation analysis suggested that articles about IVIVE in risk assessment mostly cited journals in the environment, food, and drug fields, and these articles were mainly methodological studies followed by literature reviews. Conclusion The research of IVIVE in risk assessment has developed rapidly. With the improvement of prediction models and the expansion of application scope, animal experiments in risk assessment may be greatly reduced and the efficiency of risk assessment can be increased. At present, the United States has a leading position in this field, while China has few relevant studies and needs to actively carry out international cooperation to improve the level of applied research of IVIVE. In the future, it is hoped that the IVIVE method can be further refined to improve its application and expand its research fields.

BACKGROUND:Chlorfenapyr is used to kill insects that are resistant to organophosphorus insecticides.Chlorfenapyr poisoning has a high mortality rate and is difficult to treat.This article aims to review the mechanisms,clinical presentations,and treatment strategies for chlorfenapyr poisoning. DATA RESOURCES:We conducted a review of the literature using PubMed,Web of Science,and SpringerLink from their beginnings to the end of October 2023.The inclusion criteria were systematic reviews,clinical guidelines,retrospective studies,and case reports on chlorfenapyr poisoning that focused on its mechanisms,clinical presentations,and treatment strategies.The references in the included studies were also examined to identify additional sources. RESULTS:We included 57 studies in this review.Chlorfenapyr can be degraded into tralopyril,which is more toxic and reduces energy production by inhibiting the conversion of adenosine diphosphate to adenosine triphosphate.High fever and altered mental status are characteristic clinical presentations of chlorfenapyr poisoning.Once it occurs,respiratory failure occurs immediately,ultimately leading to cardiac arrest and death.Chlorfenapyr poisoning is difficult to treat,and there is no specific antidote. CONCLUSION:Chlorfenapyr is a new pyrrole pesticide.Although it has been identified as a moderately toxic pesticide by the World Health Organization(WHO),the mortality rate of poisoned patients is extremely high.There is no specific antidote for chlorfenapyr poisoning.Therefore,based on the literature review,future efforts to explore rapid and effective detoxification methods,reconstitute intracellular oxidative phosphorylation couplings,identify early biomarkers of chlorfenapyr poisoning,and block the conversion of chlorfenapyr to tralopyril may be helpful for emergency physicians in the diagnosis and treatment of this disease.

BackgroundThe occurrence rate of dangerous behaviors in patients with severe mental disorders is higher than that of the general population. In China， there is limited research on the prediction of dangerous behaviors in community-dwelling patients with severe mental disorders， particularly in terms of predicting models using data mining techniques other than traditional methods. ObjectiveTo explore the influencing factors of dangerous behaviors in community-dwelling patients with severe mental disorders and testing whether the classification decision tree model is superior to the Logistic regression model. MethodsA total of 11 484 community-dwelling patients with severe mental disorders who had complete follow-up records from 2013 to 2022 were selected on December 2023. The data were divided into a training set （n=9 186） and a testing set （n=2 298） in an 8∶2 ratio. Logistic regression and classification decision trees were separately used to establish predictive models in the training set. Model discrimination and calibration were evaluated in the testing set. ResultsDuring the follow-up period， 1 115 cases （9.71%） exhibited dangerous behaviors. Logistic regression results showed that urban residence， poverty， guardianship， intellectual disability， history of dangerous behaviors， impaired insight and positive symptoms were risk factors for dangerous behaviors （OR=1.778， 1.459， 2.719， 1.483， 3.890， 1.423， 2.528， 2.124， P<0.01）. Being aged ≥60 years， educated， not requiring prescribed medication and having normal social functioning were protective factors for dangerous behaviors （OR=0.594， 0.824， 0.422， 0.719， P<0.05 or 0.01）. The predictive effect in the testing set showed an area under curve （AUC） of 0.729 （95% CI： 0.692~0.766）， accuracy of 70.97%， sensitivity of 59.71%， and specificity of 72.05%. The classification decision tree results showed that past dangerous situations， positive symptoms， overall social functioning score， economic status， insight， household registration， disability status and age were the influencing factors for dangerous behaviors. The predictive effect in the testing set showed an AUC of 0.721 （95% CI： 0.705~0.737）， accuracy of 68.28%， sensitivity of 64.46%， and specificity of 68.60%. ConclusionThe classification decision tree does not have a greater advantage over the logistic regression model in predicting the risk of dangerous behaviors in patients with severe mental disorders in the community. ［Funded by Chengdu Medical Research Project （number， 2020052）］