BACKGROUND:Carboxylesterase 1 and inflammatory factors play a crucial role in regulating lipid metabolism and glucose homeostasis.However,the effects of different exercise intensity interventions on carboxylesterase 1 and inflammatory factors in skeletal muscle of type 2 diabetic rats remain to be revealed. OBJECTIVE:To investigate the effects of different exercise intensity interventions on carboxylesterase 1 and inflammatory factors in skeletal muscle of type 2 diabetic rats. METHODS:Thirty-two 8-week-old male Sprague-Dawley rats were randomly divided into normal control group(n=12)and modeling group(n=20)after 1 week of adaptive feeding.Rat models of type 2 diabetes mellitus were prepared by high-fat diet and single injection of streptozotocin.After successful modeling,the rats were randomly divided into diabetic control group(n=6),moderate-intensity exercise group(n=6)and high-intensity intermittent exercise group(n=6).The latter two groups were subjected to treadmill training at corresponding intensities,once a day,50 minutes each,and 5 days per week.Exercise intervention in each group was carried out for 6 weeks.After the intervention,ELISA was used to detect blood glucose and blood lipids of rats.The morphological changes of skeletal muscle were observed by hematoxylin-eosin staining.The mRNA expression levels of carboxylesterase 1 and inflammatory cytokines were detected by real-time quantitative PCR.The protein expression levels of carboxylesterase 1 and inflammatory cytokines were detected by western blot and immunofluorescence. RESULTS AND CONCLUSION:Compared with the normal control group,fasting blood glucose,triglyceride,low-density lipoprotein cholesterol,insulin resistance index in the diabetic control group were significantly increased(P<0.01),insulin activity was decreased(P<0.05),and the mRNA and protein levels of carboxylesterase 1,never in mitosis gene A related kinase 7(NEK7)and interleukin 18 in skeletal muscle tissue were upregulated(P<0.05).Compared with the diabetic control group,fasting blood glucose,triglyceride,low-density lipoprotein cholesterol,and insulin resistance index in the moderate-intensity exercise group and high-intensity intermittent exercise group were down-regulated(P<0.05),and insulin activity was increased(P<0.05).Moreover,compared with the diabetic control group,the mRNA level of NEK7 and the protein levels of carboxylesterase 1,NEK7 and interleukin 18 in skeletal muscle were decreased in the moderate-intensity exercise group(P<0.05),while the mRNA levels of carboxylesterase 1,NEK7,NOD-like receptor heat protein domain associated protein 3 and interleukin 18 and the protein levels of carboxylesterase 1 and interleukin 18 in skeletal muscle were downregulated in the high-intensity intermittent exercise group(P<0.05).Hematoxylin-eosin staining showed that compared with the diabetic control group,the cavities of myofibers in the moderate-intensity exercise group became smaller,the number of internal cavities was reduced,and the cellular structure tended to be more intact;the myocytes of rats in the high-intensity intermittent exercise group were loosely arranged,with irregular tissue shape and increased cavities in myofibers.To conclude,both moderate-intensity exercise and high-intensity intermittent exercise can reduce blood glucose,lipid,insulin resistance and carboxylesterase 1 levels in type 2 diabetic rats.Moderate-intensity exercise can significantly reduce the expression level of NEK7 protein in skeletal muscle,while high-intensity intermittent exercise can significantly reduce the expression level of interleukin 18 protein in skeletal muscle.In addition,the level of carboxylesterase 1 is closely related to the levels of NEK7 and interleukin 18.

Objective: To construct an evaluation index system of cervical cancer prevention and control literacy, so as to provide an assessment tool for cervical cancer prevention and control literacy. Methods: The preliminary framework for cervical cancer prevention and control literacy was designed based on literature review. Twenty-one experts with both theoretical and practical experience in cervical cancer prevention and control were invited to participate in two rounds of Delphi consultation. The weights of indicators were determined by the percentage weighting method and product method, and the response rate, authority level, opinion concentration degree, and coordination degree of experts were evaluated. Results: Twenty-one experts participated in the consultation, including 3 males and 18 females. There were 11 experts with a doctor's degree, 7 with a master's degree and 3 with a bachelor's degree. All of them had senior professional titles and had more than 10 years of working experience. The recovery rates of the two rounds of consultations were 100.00% and 95.24%, the authority coefficients were 0.963 and 0.948, and Kendall's coefficients of concordance were 0.175 and 0.148 (both P<0.05), respectively. The final cervical cancer prevention and control literacy evaluation index system included 3 primary indicators (basic knowledge and concepts: 0.334; healthy lifestyle and behaviors: 0.338; basic skills: 0.328), 12 secondary indicators, with "capability to accurately acquire, comprehend, evaluate and apply health information" having the highest weight (0.166), and 51 tertiary indicators, with "HPV vaccination" (0.086), "consulting on relevant issues" (0.082), and "expressing personal perspectives" (0.080) having relatively higher weights. Conclusion The evaluation index system of cervical cancer prevention and control literacy serves as a valid assessment tool for women of appropriate age, providing the reference for developing targeted health education to enhance cervical cancer prevention and control literacy.

Objective To evaluate the influence of the wearing position of dosimeters outside lead aprons on effective dose estimation for interventional radiology workers, analyze the differences between single and double dosimeter methods in effective dose estimation, and provide a reference for the personal dose monitoring of interventional radiology workers. Methods This study employed a combined approach of on-site monitoring and Monte Carlo simulation to evaluate the impact of the wearing position of dosimeters outside lead aprons on effective dose estimation, as well as the differences between effective doses measured using single and double dosimeters. Interventional radiology workers wore dosimeters at three positions: the neck outside the lead collar, the left chest outside the lead apron, and inside the lead apron. Effective doses were estimated using the single and double dosimeter methods specified in GBZ 128-2019 Specifications for individual monitoring of occupational external exposure, and the impact of different wearing positions on the estimation results was compared. Geant4 Monte Carlo simulations were used to model dose distributions at the neck outside the lead collar and at the left chest outside the lead apron for operators performing cardiovascular interventions under tube voltages of 70, 80, 90, and 100 kVp and exposure angles of posteroanterior (PA), anteroposterior (AP), and left anterior oblique 45° (LAO45°) positions. The study assessed the impact of dosimeter wearing position on effective dose estimation. Results Monte Carlo simulations demonstrated that neck doses consistently exceeded left chest doses across different tube voltages and exposure angles, with neck-to-chest dose ratios of 0.80-0.90. Under identical tube voltage conditions, AP showed the highest doses, followed by LAO45°, and PA demonstrated the lowest doses. The single and double dosimeter methods exhibited consistent patterns in effective dose estimation. Single dosimeter method generally yielded higher effective doses with relative deviations of 9.9% to 83%, though these deviations decreased under high tube voltages. Field monitoring data indicated that most interventional radiology workers maintained relative deviations between single and double dosimeter calculations below 6%, with neck-to-chest dose ratios of 0.95-1.1. The estimation patterns remained consistent across both methods, though single dosimeter method showed slightly higher results. Conclusion Under PA, AP, or LAO45°, the doses at the neck consistently exceeded those at the left chest. Therefore, when wearing lead protective equipment, the dosimeter should be properly positioned at the neck outside the lead collar to accurately reflect the radiation doses of surgeons. Some interventional radiology workers improperly positioned the dosimeter (intended at the neck outside the lead collar) at the left chest outside the lead apron, and this may result in an underestimation of the effective dose.

OBJECTIVE: To evaluate the association between erectile dysfunction (ED) and myocardial infarction (MI) using two sample Mendelian randomization. METHODS: A Mendelian randomization study was conducted using comprehensive data on ED and MI from extensive genome-wide association data. Using inverse variance weighted analysis for causal relationships, and correct for confounding factors using multivariate Mendelian randomization, the potential mediating effects were evaluated as well. Based on Genecard data, the genes related to ED and MI were identified. Molecular docking was used to reveal spontaneously bound drug molecules. RESULTS: Our study found that exposure to ED was a risk factor for MI (OR: 1.001 0, 95% CI: 1.000 2－1.001 8, P=0.017 7), which also held true in the validation dataset (OR: 1.028 5, 95% CI: 1.005 0－1.052 6, P=0.017 2). No statistically significant heterogeneity or horizontal pleiotropy was found. The results of reverse Mendelian randomization analysis showed any reverse causal relationship between ED and MI. In multivariate Mendelian randomization analysis, after excluding confounding factors (excluding triglycerides and high-density lipoprotein), the P-value remained less than 0.05, and the OR ranged from 1.000 1 to 1.000 7, indicating that ED was still a risk factor for MI. In the mediation analysis, it was found that the current mediation ratio of smoking to MI was 13.06%. In summary-data-based mendelian randomization analysis, it was found that the gene PTPN11 was a common target gene for MI and ED (OR=0.990, P<0.001). Subsequent molecular docking with sildenafil, clopidogrel, and dapoxetine could spontaneously bind to the PTPN11 gene receptor. CONCLUSION There is a causal relationship between ED and MI, with smoking as a potential mediating factor, and the gene PTPN11 being a co-target gene.
Humans ; Male ; Mendelian Randomization Analysis ; Myocardial Infarction/genetics* ; Erectile Dysfunction/complications* ; Risk Factors ; Genome-Wide Association Study ; Molecular Docking Simulation ; Polymorphism, Single Nucleotide

OBJECTIVE: High-altitude hypoxia exposure often damages hippocampus-dependent learning and memory. Nogo-A is an important axonal growth inhibitory factor. However, its function in high-altitude hypoxia and its mechanism of action remain unclear. METHODS: In an in vivo study, a low-pressure oxygen chamber was used to simulate high-altitude hypoxia, and genetic or pharmacological intervention was used to block the Nogo-A/NgR1 signaling pathway. Contextual fear conditioning and Morris water maze behavioral tests were used to assess learning and memory in rats, and synaptic damage in the hippocampus and changes in oxidative stress levels were observed. In vitro, SH-SY5Y cells were used to assess oxidative stress and mitochondrial function with or without Nogo-A knockdown in Oxygen Glucose-Deprivation/Reperfusion (OGD/R) models. RESULTS: Exposure to acute high-altitude hypoxia for 3 or 7 days impaired learning and memory in rats, triggered oxidative stress in the hippocampal tissue, and reduced the dendritic spine density of hippocampal neurons. Blocking the Nogo-A/NgR1 pathway ameliorated oxidative stress, synaptic damage, and the learning and memory impairment induced by high-altitude exposure. CONCLUSION: Our results demonstrate the detrimental role of Nogo-A protein in mediating learning and memory impairment under high-altitude hypoxia and suggest the potential of the Nogo-A/NgR1 signaling pathway as a crucial therapeutic target for alleviating learning and memory dysfunction induced by high-altitude exposure. GRAPHICAL ABSTRACT available in www.besjournal.com.
Animals ; Oxidative Stress ; Hippocampus/metabolism* ; Rats ; Nogo Proteins/genetics* ; Male ; Rats, Sprague-Dawley ; Hypoxia/metabolism* ; Altitude ; Synapses ; Humans ; Altitude Sickness/metabolism*

Objective:To discuss the clinical value of pan-immune inflammation index(PIV)in predicting the major adverse cardiovascular events(MACE)within 1 year after percutaneous coronary intervention(PCI)in the elderly patients with coronary heart disease,and to clarify the role of inflammatory response in postoperative recovery and prognosis of the patients with coronary heart disease.Methods:A total of 150 elderly patients with coronary heart disease who underwent PCI from July 2020 to August 2023 were selected as the research subjects;according to the occurrence of MACE within 1 year after operation,they were divided into MACE group(n=28)and non-MACE group(n=122);the baseline data and biochemical indicators of the patients were collected,and PIV was calculated;multivariate Logistic regression was used to analyze the influencing factors of MACE within 1 year after PCI in the elderly patients with coronary heart disease;receiver operating characteristic(ROC)curve was used to analyze the predictive value of PIV for MACE within 1 year after PCI in the elderly patients with coronary heart disease.Results:Compared with non-MACE group,the levels of total cholesterol(TC)and low-density lipoprotein cholesterol(LDL-C),neutrophils(NEUT),platelets(PLT)counting and PIV in the patients in MACE group were significantly increased(P<0.05);there were no significant differences in other data between two groups(P>0.05).The multivariate Logistic regression analysis results showed that the levels of TC(OR=1.571,95％CI:1.088-2.270)and LDL-C(OR=32.506,95％CI:8.880-118.994)and PIV(OR=1.014,95％CI:1.010-1.019)were the influencing factors of MACE within 1 year after PCI in the elderly patients with coronary heart disease(P<0.05).The ROC curve analysis results showed that the area under the ROC curve(AUC)of PIV for predicting MACE was 0.857(95％CI:0.762-0.951),the sensitivity was 0.821,the specificity was 0.959,the maximum Youden index was 0.780,and the best cut-off value was 778.805(P<0.01).Conclusion:PIV has important predictive value for MACE within 1 year after PCI in elderly patients with coronary heart disease.

Objective To investigate the diagnostic value of our regression model based on quantitative parameters of dual-energy CT and clinical features for stages T2 and T3 colorectal cancer.Methods A cross-section study was performed on 91 patients with colorectal cancer confirmed by postoperative pathology in our hospital from January 2022 to November 2023.All of them underwent dual-energy CT examination.According to the pathological T staging criteria of Chinese Colorectal Cancer Diagnosis and Treatment Standard(2020 Edition),they were divided into T2 group(n=43)and T3 group(n=48).Univariate analysis was used to compare the differences in quantitative CT parameters and clinical features between the 2 groups,and the obtained significant variables were employed to construct diagnosis models by univariate or multivariate logistic regression analysis.The area under receiver operating characteristic curve(AUC)of the CT parametric model and the model combined with clinical features was compared to evaluate the efficacy of diagnosing T2 and T3 stages.Results Univariate analysis showed that carcinoembryonic antigen(CEA),N stage,tumor location,tumor longest diameter(LD),CT value of virtual noncontrast(CT-VNC),fat fraction,electron density(Rho)and dual energy index(DEI)were significantly different between the T2 and T3 groups(P＜0.05).Multivariate logistic regression analysis found that N stage,tumor location,LD,fat fraction and DEI were independent risk factors for the diagnosis of stage T3.The AUC value of the model of above CT parameters in diagnosing stage T3 colorectal cancer was 0.671(95％CI:0.558～0.783),and the AUC value of the combined model of above CT parameters and clinical features was 0.886(95％CI:0.815～0.957),and statistical difference was observed in the AUC value between the combined model and the CT parametric model(P＜0.01).Conclusion The regression model constructed with dual-energy CT quantitative parameters combined with clinical features has high value in the preoperative diagnosis of stages T2 and T3 colorectal cancer before surgery.

Objective:To explore the mechanism of Amomi Fructus in ameliorating ethanol-induced gastric ulcer (GU) in mice using metabolomics, network pharmacology and molecular docking techniques.Methods:The mice were divided into the blank group, model group, aqueous extract of Amomi Fructus group, volatile oil of Amomi Fructus group, combined aqueous extract and volatile oil of Amomi Fructus group and omeprazole group according to the random number table method, with 10 mice in each group. The blank and model groups were gavaged with sodium carboxymethyl cellulose, the Amomi Fructusaqueous extract group was gavaged with 0.152 5 g/kg of Amomi Fructus aqueous extract, the Amomi Fructus volatile oil group was gavaged with 26 μl/kg of Amomi Fructus volatile oil, the Amomi Fructus aqueous extract and volatile oil combined group was gavaged with 0.152 5 g/kg+26 μl/kg of Amomi Fructus aqueous extract and volatile oil synergistic solution, and the omeprazole group was gavaged with 5.2 mg/kg of omeprazole, 1 time/day, which was administered continuously for 7 d. The gastric ulcer model was established by using ethanol 2 h after the last administration, and the pathological changes of gastric histology were observed by using HE staining; the main differential metabolites were detected by UPLC-Q-TOF-MS/MS non-targeted metabolomics technique, and the metabolic pathway enrichment analysis was carried out; the potential targets and key pathways of the anti-GU action of Amomi Fructus were predicted by network pharmacology; the "metabolite-response-enzyme-gene" network was established by combining the serum metabolomics and network pharmacology; and the key targets were verified by molecular docking technology.Results:HE staining showed that the gastric mucosa of mice in the model group was severely damaged, with cellular tissue damage and inflammatory cell infiltration, whereas the drug administration group showed some protective effects; the results of non-targeted metabolomics showed that 2 metabolites were up-regulated and 17 metabolites were down-regulated in sera of mice in the co-administration group of aqueous extract and volatile oil of Amomi Fructus compared with the control group, and the 19 metabolites were strongly correlated and well clustered, involving nicotinic acid and nicotinamide metabolism, citric acid cycle, glyoxylate and dicarboxylic acid metabolism, phenylalanine metabolism, alanine, aspartate and glutamate metabolism and other metabolic pathways; the results of network pharmacology showed that Amomi Fructus improved GU by affecting target proteins, such as STAT3, AKT1, SRC, and TLR4, which were closely linked to the signaling pathways of cancer pathway, human cytomegalovirus infection, and lipids and atherosclerosis; the joint analysis of network pharmacology and the combined analysis of network pharmacology and metabolomics identified the glycerophospholipid metabolic pathway as the main metabolic pathway in which Amomi Fructus may exert gastroprotective effects; the molecular docking results showed that the main active component of quercetin had a better binding ability to the key targets.Conclusion:Amomi Fructus exerts a protective effect on ethanol induced GU model by regulating the glycerophospholipid metabolism pathway, providing theoretical basis for further research on Amomi Fructus.

Objective To investigate the causal relationship between gut microbiota and viral pneumonia,as well as the underlying mechanisms,using two-sample and two-step Mendelian randomization(MR)approaches,thereby providing novel insights for the prevention and treatment of viral pneumonia.Methods All data were obtained from publicly available genome-wide association studies(GWAS)pooled datasets,including gut microbiota data from the MiBioGen Consortium and the Netherlands Microbiome Project,viral pneumonia data from the FinnGen R10 database,and plasma metabolome data from the publicly available GWAS Catalog.Instrumental variables(IVs)were extracted according to the predefined threshold values.MR analyses were conducted using inverse variance weighting(IVW),MR-Egger,weighted median(WME),weighted mode(WM),and Bayesian-weighted Mendelian randomization(BWMR)methods.Reverse MR analysis was performed to determine whether there was a reverse association.Two-step MR analysis was used to explore the potential mediating role of plasma metabolites,and a series of sensitivity analyses were performed to test the stability of the results.Results Among 196 gut microbiota taxa from the MiBioGen consortium GWAS,11 taxa were associated with viral pneumonia.An increase in the abundance of 4 taxa increased the risk of viral pneumonia,while an increase in the abundance of 7 taxa had a protective effect against viral pneumonia.Among the 207 gut microbiota taxa from the Dutch Microbiome Project GWAS data,10 taxa were associated with viral pneumonia,with 6 risk-increasing and 4 protective taxa identified.Mediation analysis results showed that the causal effect of Defluviitaleaceae on viral pneumonia(OR=0.708,95%CI 0.540-0.929,P=0.013)was mediated to some extent by the N6-acetyllysine levels,with a mediation ratio of 18.4%.Sensitivity analyses did not reveal significant heterogeneity or horizontal pleiotropy.Conclusions Specific gut microbiota are causally associated with viral pneumonia and show potential differences across different populations;the protective effect of Defluviitaleaceae against viral pneumonia may be mediated by the N6-acetyllysine levels.Targeting metabolites may become a potential therapeutic approach for viral pneumonia.