Various chromatographic methods were comprehensively applied to study the chemical composition of the ethyl acetate extract from Aucklandiae Radix. The structures of all compounds were identified by analyzing their physicochemical properties and using spectroscopic methods. Two new sesquiterpenoids, named auclappsines A and B(1 and 2) were isolated and identified. Through in vitro high content screening and with the use of a guggulsterone-induced L02 cells, the effects of 1 and 2 on farnesoid X receptor(FXR) protein expression were investigated. The results showed that 1 had a significant FXR activation effect, providing a scientific basis for the development of drugs for the treatment of liver and gallbladder diseases.
Receptors, Cytoplasmic and Nuclear/genetics* ; Humans ; Sesquiterpenes/isolation & purification* ; Drugs, Chinese Herbal/isolation & purification* ; Cell Line ; Molecular Structure

This paper aimed to use non-targeted urine metabolomics to reveal the potential biomarkers of toxicity in rats with hepatic injury induced by aqueous extracts of Dictamni Cortex(ADC). Forty-eight SD rats were randomly assigned to a blank group and high-dose, medium-dose, and low-dose ADC groups, with 12 rats in each group(half male and half female), and they were administered orally for four weeks. The hepatic injury in SD rats was assessed by body weight, liver weight/index, biochemical index, L-glutathione(GSH), malondialdehyde(MDA), and pathological alterations. The qPCR was utilized to determine the expression of metabolic enzymes in the liver and inflammatory factors. Differential metabolites were screened using principal component analysis(PCA) and partial least squares-discriminant analysis(PLS-DA), followed by a metabolic pathway analysis. The Mantel test was performed to assess differential metabolites and abnormally expressed biochemical indexes, obtaining potential biomarkers. The high-dose ADC group showed a decrease in body weight and an increase in liver weight and index, resulting in hepatic inflammatory cell infiltration and hepatic steatosis. In addition, this group showed elevated levels of MDA, cytochrome P450(CYP) 3A1, interleukin-1β(IL-1β), and tumor necrosis factor-α(TNF-α), as well as lower levels of alanine transaminase(ALT) and GSH. A total of 76 differential metabolites were screened from the blank and high-dose ADC groups, which were mainly involved in the pentose phosphate pathway, tryptophan metabolism, purine metabolism, pentose and glucuronic acid interconversion, galactose metabolism, glutathione metabolism, and other pathways. The Mantel test identified biomarkers of hepatotoxicity induced by ADC in SD rats, including glycineamideribotide, dIDP, and galactosylglycerol. In summary, ADC induced hepatotoxicity by disrupting glucose metabolism, ferroptosis, purine metabolism, and other pathways in rats, and glycineamideribotide, dIDP, and galactosylglycerol could be employed as the biomarkers of its toxicity.
Animals ; Male ; Rats, Sprague-Dawley ; Rats ; Metabolomics ; Biomarkers/metabolism* ; Liver/metabolism* ; Drugs, Chinese Herbal/adverse effects* ; Female ; Chemical and Drug Induced Liver Injury/metabolism* ; Glutathione/metabolism* ; Humans

OBJECTIVES: To explore potential keywords, research clusters, collaborative pattern, and research trends in the field of medical technology management (MTM) through bibliometric analysis, providing insights for researchers, policy makers, and hospital administrators. METHODS: A retrieval formula was applied to the title, abstract, and keywords in the Web of Science (WoS) Core Collection, along with system-recommended terms, to identify articles on MTM. A total of 181 articles published between 1974 and 2022 were retained for quantitative analysis. The global trend of research output; total citations, average citations, and H-index; and bibliographic coupling, co-authorship, and keyword co-occurrence were analyzed using VOSviewer. RESULTS: The number of articles on MTM has been steadily increasing year by year. The focus of research has shifted from addressing basic medical needs to prioritizing emergency response and medical information security. The United States, Italy, and the United Kingdom emerged as the main contributors, with the United States leading in both volume of publications (60 articles) and academic impact (H-index = 21). Authors from the United Kingdom and the United States led the way in cross-border cooperation. The top five institutions, ranked by total link strength among cross-institutional authors, were primarily located in Canada and Spain. CONCLUSIONS The field of MTM has experienced stable growth over the past three decades (1993-2022). The shift of research focus has prompted a heightened emphasis on protecting patient privacy and ensuring the security of medical data. Future research should emphasize interdisciplinary and professional collaboration, as well as international cooperation and open sharing of knowledge.
Bibliometrics ; Humans ; Biomedical Technology

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

Objective:To investigate the level of occupational health literacy (OHL) among workers in the electronic manufacturing industry, analyze the influencing factors, and provide a scientific basis for occupational health promotion work.Methods:From July to September 2022, a stratified cluster random sampling method was adopted, and 870 workers from 20 large, medium, small and micro electronic manufacturing enterprises in Guangdong Province were selected as the research subjects. The OHL level of workers was investigated by using the "Personal Questionnaire for Monitoring and Surveying Occupational Health Literacy of National Key Populations", and the influencing factors were analyzed by binary logistic regression.Results:The OHL level of workers in electronic manufacturing industry was 36.09% (314/870). The OHL levels in the four dimensions of occupational health legal knowledge, basic knowledge of occupational health protection, healthy work methods and behaviors, and basic skills of occupational health protection were 39.08% (340/870), 78.97% (687/870), 56.55% (492/870), and 22.41% (195/870), respectively. logistic regression analysis showed that junior high school, senior high school/vocational high school/technical secondary school education, and average monthly income of 5000-6999 yuan and ≥7000 yuan were protective factors for high OHL levels among workers ( P<0.05) . Conclusion:The OHL level of workers in the electronic manufacturing industry is relatively low, and the promotion and intervention of OHL should be actively carried out to effectively improve the health literacy level of workers, focusing on workers with low education and low income.

Objective:To establish a one-pot lyophilized detection system based on recombinase polymerase amplification (RPA) and Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and CRISPR-associated protein (Cas13a) technology for the rapid diagnosis of cytomegalovirus (CMV) infection in liver transplantation recipients.Methods:This study is a methodology study. CRISPR RNA (crRNA) and RPA primers were designed targeting the CMV gene sequence. Optimal RPA primer sets were screened to establish the RPA-CRISPR/Cas13a-based CMV detection system. The limit of detection (LOD) was evaluated using gradient-diluted CMV plasmid standards. Cross-reactivity was assessed using genomic DNA from common opportunistic viruses in organ transplant recipients. Lyophilized reagents were validated with CMV-negative and positive samples. P-values were computed using two-sample t-tests for pairwise comparisons and one-way ANOVA for multi-group analyses to assess fluorescence value differences. Subsequently, lyophilized reagents were employed to detect 22 plasma samples from liver transplantation recipients collected at Renji Hospital, Shanghai Jiao Tong University School of Medicine, from June 3, 2024, to May 31, 2025. The test results were then compared with those obtained using quantitative real-time polymerase chain reaction (qPCR). Consistency between the two methods was evaluated using the Kappa coefficient calculated by Kappa test.Result:The established RPA-CRISPR/Cas13a system achieved a detection sensitivity of 1 copy/reaction and exhibited no cross-reactivity with other common opportunistic viruses in organ transplantation. Lyophilized RPA-CRISPR/Cas13a reagents demonstrated performance equivalent to non-lyophilized reagents. Concordance between lyophilized reagent detection and qPCR results for 22 clinical samples was 100% (22/22).Conclusion:A lyophilized CMV detection method based on RPA-CRISPR/Cas13a technology was successfully developed and validated for convenient diagnosing CMV infection in liver transplant recipients.

Alzheimer′s disease (AD) is one of the most common neurodegenerative diseases, and its diagnosis heavily relies on imaging biomarkers. This paper integrates core pathological markers, such as amyloid β (Aβ)-positron emission tomography (PET), tau-PET, structural magnetic resonance imaging, and fluorodeoxyglucose-PET, with the latest advancements in novel imaging biomarkers, including inflammation, synaptic imaging, and cerebrovascular injury-related markers, based on the Aβ proteinopathy, tau proteinopathy, neurodegeneration, inflammation, α-synuclein and vascular brain injury biomarkers (AT 1T 2NISV) framework proposed by the 2024 Alzheimer′s Association diagnostic guidelines. With the development of machine learning and artificial intelligence technologies, future research should focus on enhancing the specificity of imaging biomarkers and developing precise diagnostic models for comorbidities to better address the heterogeneity and complex pathological features of AD.

Objective To analyze the factors influencing the occupational health literacy (OHL) level among workers in key industries from the perspectives of both individual workers and enterprises. Methods A total of 32 336 front-line workers from 12 key industries in the secondary industry in Guangdong Province were selected as the research subjects by a stratified cluster random sampling method. Their OHL level was investigated using Occupational Health Literacy Questionnaire of National Key Populations, and the influencing factors were analyzed. Results The OHL level of the research subjects was 48.5%. The OHL level of the research subjects in four dimensions from high to low was basic knowledge of occupational health protection, occupational health practice and behavior, legal knowledge of occupational health, and basic skills of occupational health protection (80.7%, 61.2%, 48.3% and 29.5%, respectively). The multivariable logistic regression analysis showed that the OHL level of female workers was lower than that of males (P<0.05). Lower OHL was also associated with older age, lower education level, lower personal monthly income of workers (all P<0.01). The workers with length of service < 3 years and ≥ 20 years had lower OHL level than those with length of service 3-<10 years and 10-<20 years, respectively (all P<0.05). Workers in larger enterprises had higher OHL levels (all P<0.01). The OHL level of workers in the sixth category of industries with occupational injuries had higher occupational injury risks than those in the third and fourth categories (all P<0.05). The OHL levels of workers in state-owned enterprises, private enterprises, foreign-funded enterprises, and other enterprises were higher than that of workers in public institutions (all P<0.05). Conclusion The influencing factors of workers′ OHL in key industries of the secondary industry include individual factors (gender, age, education level, personal monthly income, length of service) and enterprise factors (enterprise size, enterprise nature and industry injury risk category). Female, older workers, those with lower education or income, and those with short length of service represent priority groups for OHL interventions, while small and micro enterprises are priority units for future workplace health promotion intervention.

Objective To explore the association between long working hours, anxiety symptoms, and insomnia symptoms among footwear industry workers, and to examine the mediating effect of anxiety symptoms between long working hours and insomnia symptoms. Methods A total of 710 workers from 15 footwear manufacturing enterprises in Guangdong Province were selected as study subjects using a stratified random sampling method. Long working hours, anxiety symptoms, and insomnia symptoms among the workers were assessed using the National Key Population Occupational Health Literacy Monitoring Questionnaire, the Chinese version of the Generalized Anxiety Disorder Self-Rating Scale, and the Self-Rating Sleep Questionnaire. Binary logistic regression was applied to analyze the associations of long working hours and anxiety symptoms with insomnia symptoms, and a mediation effect model was used to examine the mediating role of anxiety symptoms. Results The workers with long working hours accounted for 69.6% of participants. The detection rates of anxiety symptoms and insomnia symptoms were 17.0% and 20.7% in these workers, respectively. Binary logistic regression analysis showed that both long working hours and anxiety symptoms were influencing factors for insomnia symptoms (both P<0.01). Mediation analysis indicated that long working hours had a direct effect on insomnia symptoms, accounting for 67.9% of the total effect. Anxietysymptoms played a partial mediating role between long working hours and insomnia symptoms, with an effect value of 0.18 (95% confidence interval 0.07-0.30, P<0.01), accounting for 32.1% of the total effect. Conclusion Both long working hours and anxiety symptoms are influencing factors for insomnia symptoms among the footwear industry workers, and anxiety symptoms partially mediate the impact of long working hours on insomnia symptoms.

Objective To analyze the current status of occupational health literacy (OHL) among front-line workers in the metal products industry and to explore its influencing factors. Methods A total of 5 193 front-line workers from the metal products industry in 14 prefecture-level cities in Guangdong Province were selected as the research subjects by the stratified cluster random sampling method. The Occupational Health Literacy Questionnaire of National Key Populations was used to assess their OHL levels. To analyze the influencing factors of OHL, binary logistic regression analysis was conducted. Results The overall OHL level among the participants was 40.0% (2 079/5 193). The result of binary logistic regression analysis showed that workers with lower educational level, lower average monthly personal income, and smaller enterprise size had lower OHL levels (all P<0.01). In addition, workers in foreign-funded enterprises had higher OHL levels than those in private enterprises (P<0.01). Conclusion There remains considerable room for improvement in OHL among front-line workers in the metal products industry. Priority focus is to improve OHL among workers with lower education and income levels, as well as those employed in private and micro- or small-sized enterprises.