Objective To establish an ultra-high-performance liquid chromatography-triple quadrupole tandem mass spectrometry method for the determination of N-(1,3-dimethylbutyl)-N′-phenyl-p-phenylenediamine quinone (6PPDQ) in human plasma and urine. Methods Plasma and urine samples (0.3 mL each) were mixed with 0.9 mL acetonitrile and dichloromethane, vortexed, and subjected to ultrasonic treatment to facilitate extraction. After centrifugation, the extract was collected, evaporated to dry powder under nitrogen, and reconstituted. Separation was performed on a C18 column, and detection was carried out using ultra-high-performance liquid chromatography-triple quadrupole tandem mass spectrometry with external standard quantification. Results 6PPDQ showed good linearity in the range of 0.01-25.00 μg/L in both human plasma and urine, with correlation coefficients of 0.999 5 and 0.999 7, respectively. The detection limits for plasma and urine were 8 and 6 ng/L, and the lower limits of quantification were 27 and 19 ng/L, respectively. The average recovery rates were 97.00%-100.00% for plasma and 90.00%-96.50% for urine. The within-run relative standard deviations (RSDs) were 4.35%-10.00% for plasma and 2.34%-11.11% for urine, while the between-run RSDs were 6.80%-8.46% and 2.60%-10.00%, respectively. Samples can be stored for seven days at 4 ℃ or -20 ℃. respectively. Samples can be stored for seven days at 4 ℃ or -20 ℃. Matrix effects ranged from 87.12%-99.27% for plasma and 91.00%-97.56% for urine. Conclusion The proposed method is simple, highly sensitive, and reproducible, and is suitable for the determination of 6PPDQ in human plasma and urine samples.

Objective:To evaluate the effectiveness of an integrated management model involving the Centers for Disease Control and Prevention (CDC), general hospitals, and community health service centers in improving outcomes for community-dwelling patients with chronic obstructive pulmonary disease (COPD), with the aim of optimizing existing COPD management strategies.Methods:This study was a cluster randomized controlled trial. From January to March 2022, a total of 236 patients with COPD were recruited from four communities in Chibi City, Hubei Province. Ultimately, 223 patients completed follow-up and participated in the intervention evaluation. The participants were cluster-randomized into an intervention group ( n=121) and a control group ( n=102). The intervention group received a one-year "trinity" integrated community management model, while the control group received only basic follow-up. Face-to-face questionnaires were administered before and after the intervention to collect data on demographics, disease awareness, risk factors, respiratory symptoms, medication use, and disease management. Quality of life scores and pulmonary function tests were also assessed. Pre-and post-intervention outcomes were compared using t-tests or chi-square tests. Results:The intervention group demonstrated significantly higher rates of COPD awareness and disease-related knowledge compared to the control group (94.12% vs 77.78% and 78.15% vs 49.49%; both P<0.05), along with lower overall smoking rate and current smoking rate (57.14% vs 70.71% and 29.41% vs 47.47%; both P<0.05). The intervention group showed reduced household polluting fuel use for heating (17.65% vs 28.93%; P<0.05), while the control group exhibited no significant change. Significant improvements were observed in the intervention group for inhaler medication usage (14.05% vs 2.94%), exercise training, and respiratory muscle training (22.31% vs 2.94% and 26.45% vs 0.98%)(all P<0.05). Additionally, the intervention group reported lower prevalence of chronic sputum production, wheezing, and dyspnea (12.40%, 0.83%, 27.27% vs 24.51%, 9.80%, 41.18%; all P<0.05) compared to controls. Pulmonary function tests revealed that the percentage of forced expiratory volume in one second (FEV 1%predicted) was significantly higher in the intervention group than in the control group [(69.53±18.01)% vs (54.90±12.39)%; both P<0.05]. Conclusions:The "trinity" integrated management model effectively enhances health literacy, self-management capabilities, and quality of life among COPD patients, while reducing behavioral risk factors. This model aligns with the long-term and individualized management needs of COPD patients.

G protein-coupled receptor 17(GPR17)is a G protein-coupled receptor whose func-tional diversity is regulated by multiple mechanisms,including receptor dimerization and epigenetic modifications.It is involved in the development of the nervous system,injury repair,and the progres-sion of various neurological diseases.This study integrated a three-dimensional functional network of neurodevelopment-injury repair-metabolic regulation to elucidate the normal developmental process and pathological progression of GPR17 in the nervous system.In the nervous system,GPR17 partici-pates in the fate regulation of oligodendrocyte lineage cells and the activation of microglia,and also affects the pluripotency regulation of neural precursor cells and adult neural tissues.Under neuro-pathological conditions such as demyelinating diseases,brain injuries,and gliomas,GPR17 expres-sion is abnormal.Inhibiting its expression can alleviate myelin sheath damage,while activating its ex-pression can induce the differentiation and apoptosis of glioma cells.Additionally,GPR17 is involved in the regulation of metabolism,aging,and cognitive dysfunction.Although significant progress has been made in current research,the signal transduction mechanisms during development and the spe-cific action pathways in neurological diseases still require further exploration.Given the multifunction-ality and key role of GPR17 in the nervous system,this field holds promise for providing novel ideas and therapeutic strategies for neural development,injury repair,and the treatment of related diseases.

Objective:To investigate the related factors of cognitive impairment in middle-aged and old-aged patients with type 2 diabetes mellitus(T2DM).Methods:A total of 970 patients with T2DM(585 middle-aged group and 385 old-aged group)were selected from residents of a large community in Beijing from September to December 2018.The Mini-Mental State Examination(MMSE)was used to assess the cognitive func-tion.Multivariate logistic regression was used to analyze the related factors.Results:The detection rates of cognitive impairment were 12.0％and 13.5％in middle-aged and old-aged patients with T2DM,respectively.Among mid-dle-aged patients with T2DM,work(OR=0.22,95％CI:0.03-0.77)and education at the junior college or un-dergraduate level and above(OR=0.18,95％CI:0.04-0.55)were protective factors for cognitive impair-ment.Myocardial infarction(OR=4.13,95％CI:1.26-13.63)was a risk factor for cognitive impairment.Among old-aged patients with T2DM,drinking tea 1-2 times a week(OR=0.11,95％CI:0.01-0.58)and education at the junior college or undergraduate level and above(OR=0.19,95％CI:0.05-0.54)were protective factors for cognitive impairment.Stroke(OR=3.64,95％CI:1.55-8.39)and good sleep self-assessment(OR=2.75,95％CI:1.13-7.35)were risk factors for cognitive impairment.Conclusion:Cognitive impairment in middle-aged pa-tients with T2DM is related to work,education level and myocardial infarction,and cognitive impairment in old-aged patients with T2DM is related to lifestyle,education level and stroke.

The quality and teaching level of clinical teaching staff are important factors affecting the training quality of newly recruited nurses, and strengthening the construction of the teaching staff team is the key to ensuring the training quality. This article reviews the relevant contents of the clinical teaching staff training project for newly recruited nurses at home and abroad, including training contents, training duration, training forms, achieved results, and deficiencies. Countermeasures are proposed for the existing problems, aiming to provide referential ideas for constructing a unified teaching staff training program for newly recruited nurses in China.

Objective:To investigate the related factors of cognitive impairment in middle-aged and old-aged patients with type 2 diabetes mellitus(T2DM).Methods:A total of 970 patients with T2DM(585 middle-aged group and 385 old-aged group)were selected from residents of a large community in Beijing from September to December 2018.The Mini-Mental State Examination(MMSE)was used to assess the cognitive func-tion.Multivariate logistic regression was used to analyze the related factors.Results:The detection rates of cognitive impairment were 12.0％and 13.5％in middle-aged and old-aged patients with T2DM,respectively.Among mid-dle-aged patients with T2DM,work(OR=0.22,95％CI:0.03-0.77)and education at the junior college or un-dergraduate level and above(OR=0.18,95％CI:0.04-0.55)were protective factors for cognitive impair-ment.Myocardial infarction(OR=4.13,95％CI:1.26-13.63)was a risk factor for cognitive impairment.Among old-aged patients with T2DM,drinking tea 1-2 times a week(OR=0.11,95％CI:0.01-0.58)and education at the junior college or undergraduate level and above(OR=0.19,95％CI:0.05-0.54)were protective factors for cognitive impairment.Stroke(OR=3.64,95％CI:1.55-8.39)and good sleep self-assessment(OR=2.75,95％CI:1.13-7.35)were risk factors for cognitive impairment.Conclusion:Cognitive impairment in middle-aged pa-tients with T2DM is related to work,education level and myocardial infarction,and cognitive impairment in old-aged patients with T2DM is related to lifestyle,education level and stroke.

The quality and teaching level of clinical teaching staff are important factors affecting the training quality of newly recruited nurses, and strengthening the construction of the teaching staff team is the key to ensuring the training quality. This article reviews the relevant contents of the clinical teaching staff training project for newly recruited nurses at home and abroad, including training contents, training duration, training forms, achieved results, and deficiencies. Countermeasures are proposed for the existing problems, aiming to provide referential ideas for constructing a unified teaching staff training program for newly recruited nurses in China.

Objective:To evaluate the effectiveness of an integrated management model involving the Centers for Disease Control and Prevention (CDC), general hospitals, and community health service centers in improving outcomes for community-dwelling patients with chronic obstructive pulmonary disease (COPD), with the aim of optimizing existing COPD management strategies.Methods:This study was a cluster randomized controlled trial. From January to March 2022, a total of 236 patients with COPD were recruited from four communities in Chibi City, Hubei Province. Ultimately, 223 patients completed follow-up and participated in the intervention evaluation. The participants were cluster-randomized into an intervention group ( n=121) and a control group ( n=102). The intervention group received a one-year "trinity" integrated community management model, while the control group received only basic follow-up. Face-to-face questionnaires were administered before and after the intervention to collect data on demographics, disease awareness, risk factors, respiratory symptoms, medication use, and disease management. Quality of life scores and pulmonary function tests were also assessed. Pre-and post-intervention outcomes were compared using t-tests or chi-square tests. Results:The intervention group demonstrated significantly higher rates of COPD awareness and disease-related knowledge compared to the control group (94.12% vs 77.78% and 78.15% vs 49.49%; both P<0.05), along with lower overall smoking rate and current smoking rate (57.14% vs 70.71% and 29.41% vs 47.47%; both P<0.05). The intervention group showed reduced household polluting fuel use for heating (17.65% vs 28.93%; P<0.05), while the control group exhibited no significant change. Significant improvements were observed in the intervention group for inhaler medication usage (14.05% vs 2.94%), exercise training, and respiratory muscle training (22.31% vs 2.94% and 26.45% vs 0.98%)(all P<0.05). Additionally, the intervention group reported lower prevalence of chronic sputum production, wheezing, and dyspnea (12.40%, 0.83%, 27.27% vs 24.51%, 9.80%, 41.18%; all P<0.05) compared to controls. Pulmonary function tests revealed that the percentage of forced expiratory volume in one second (FEV 1%predicted) was significantly higher in the intervention group than in the control group [(69.53±18.01)% vs (54.90±12.39)%; both P<0.05]. Conclusions:The "trinity" integrated management model effectively enhances health literacy, self-management capabilities, and quality of life among COPD patients, while reducing behavioral risk factors. This model aligns with the long-term and individualized management needs of COPD patients.

Objective To analyze differential metabolites (DMs) in the urine of workers with occupational nickel exposure using non-targeted metabolomics, and to screen differential metabolic pathways. Methods A total of 30 nickel exposed workers were selected as the exposure group, and 30 administrative staff from the same factory were selected as the control group using the judgment sampling method. Urine samples of the individuals from the two groups were collected. The ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry and non-targeted metabolomics were used to detect and identify metabolites. The differential metabolic profiles were compared between workers of the two groups, and key differential metabolic pathways and potential biomarkers were screened. The association of DMs and urinary nickel level were evaluated by Spearman correlation coefficients. The sensitivity and specificity of biomarkers were assessed by receiver operating characteristic (ROC) curve analysis. Results A total of 418 metabolites were identified in the urine of worker in the exposure and control groups. The result of principal component analysis and orthogonal partial least squares analysis showed that there were 128 DMs in the urine of workers in the exposure group compared with the control group. These DMs were mainly enriched in glutathione metabolism, carnitine synthesis, and amino acid and nucleotide metabolism pathways, including glycine and serine metabolism. The result of correlation analysis and ROC curve analysis revealed that 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid could be the potential biomarkers for nickel exposure (all area under the ROC curve >0.800). Conclusion There were significant differences in the urinary metabolic profiles of workers with occupational nickel exposure. The five DMs including 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid. These DMs could be potential biomarkers of occupational nickel exposure.

Biotoxins, which include bacterial, fungal, marine, plant, and animal toxins, are widespread in living and occupational environments, posing potential threats to human health. Rapid detection of biotoxins in blood is crucial for preventing health hazards and enabling timely disease diagnosis and treatment. Biosensors and immunoassay technologies have critical advantages in the rapid detection of biotoxins in blood. Common biosensors, such as surface plasmon resonance biosensors and fluorescent biosensors, enhance sensitivity and reduce detection limits through signal amplification. Common immunoassay methods, such as colloidal gold immunochromatography, fluorescence immunochromatography, and chemiluminescence immunoassay, improve detection efficacy and sensitivity through specific antibody-antigen binding and nanotechnology. However, current rapid detection technologies of bitoxins in blood face challenges such as matrix interference and insufficient specificity, and they fall short in high-throughput detection of multiple toxins simultaneously. Future developments should focus on improving sample pretreatment, innovating signal amplification methods, enhancing specificity on recognition of elements, and designing portable detection devices and high-throughput platforms for simultaneous toxin analysis. These advancements aim to improve the sensitivity and reliability of detection methods, providing more accurate and convenient solutions for biotoxin detection in blood.