Objective To analyze the epidemiological characteristics and prognostic factors of acute cardiovascular and cerebrovascular events in Jianyang City from 2020 to 2023. Methods Medical records of acute cardiovascular and cerebrovascular disease patients treated in three hospitals in Jianyang City from January 2020 to December 2023 were selected, and their epidemiological characteristics were analyzed. Multivariate logistic regression was used to analyze the risk factors for mortality. Results From 2020 to 2023, 23000 cases of acute cardiovascular and cerebrovascular events were reported in Jianyang City, with a standardized incidence rate of 508.76/100 000 and a gender ratio of 1.33:1. All diseases and the total standardized incidence rate of men are higher than those of women; ≥ The total incidence rate and all incidence rate of the 85 year old group are the highest; The incidence rate is the highest in 2021, and the incidence rate is the highest in spring and winter. The standardized mortality rate of acute cardiovascular and cerebrovascular events was 108.08/100 000, with significant differences among different ages, disease types, and onset seasons (P<0.05). Multivariate analysis showed that age, onset season, and disease type were independent risk factors for patient mortality (P<0.05). Conclusion From 2020 to 2023, the standardized incidence rate of acute cardiovascular and cerebrovascular events in Jianyang City is higher, which is more common in the elderly population. The risk of men is higher than that of women, and the risk is higher in spring and winter. Age, disease type, and onset season are all directly related to the risk of death. In the future, it is necessary to strengthen the monitoring and prevention of cardiovascular and cerebrovascular diseases, and optimize emergency treatment work in order to improve patient prognosis.

OBJECTIVE To optimize the water extraction technology for Kaixin granules. METHODS UPLC-MS/MS method was established for the simultaneous determination of ginsenoside Rg1， ginsenoside Re， ginsenoside Rb1， tenuifolin， polygalaxanthone Ⅲ and 3， 6′-disinapoyl-sucrose. An orthogonal test was designed with extraction times， extraction duration， and the volume of added water as factors. Using the contents of the aforementioned six indicator components and the extract yield as evaluation indexes， analytic hierarchy process-entropy weight method was employed to determine the combined weights of each indicator. Subsequently， process optimization and validation were conducted by integrating grey relational analysis （GRA） and back propagation （BP） neural network. RESULTS The water extraction technology optimized by the orthogonal test and GRA was 10- fold water for the first decoction and 8-fold water for the subsequent two， extracting 3 times，extracting for 1 h each time； the average comprehensive score of the validation experiment was 91.10 （RSD＝0.31%， n＝3）. The water extraction technology optimized by BP neural network was extracting 3 times with 10-fold water added each time， extracting for 1.5 h each time； the average comprehensive score of the validation experiment was 95.89 （RSD＝0.73%， n＝3）. Considering practical production requirements， the optimal water extraction technology was extraction performed three times， with 10-fold water for the first decoction and 8-fold water for the subsequent two extractions， with an extraction time of 1 h each. CONCLUSIONS The optimized water extraction technology for Kaixin granules is stable and feasible.

Objective To establish an analytical method for the simultaneous determination of 18 perfluoroalkyl compounds(PFCs)in tea leaves using a quick,easy,cheap,effective,rugged,and safe(QuEChERS)method for sample pretreatment combined with ultra-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS).Methods The target analytes—18 PFCs—included 13 carboxylic acid PFCs(perfluorobutanoic acid[PFBA],perfluoropentanoic acid[PFPeA],perfluorohexanoic acid[PFHxA],perfluoroheptanoic acid[PFHpA],perfluorooctanoic acid[PFOA],perfluorononanoic acid[PFNA],perfluorodecanoic acid[PFDA],perfluoroundecanoic acid[PFUdA],perfluorododecanoic acid[PFTrDA],perfluorotridecanoic acid[PFTeDA],perfluorotetradecanoic acid[PFHxDA],perfluorohexadecanoic acid[PFHpS],and perfluorooctadecanoic acid[PFODA])and 5 sulfonic acid PFCs(perfluorobutanesulfonic acid[PFBS],perfluorohexanesulfonic acid[PFHxS],perfluoroheptanesulfonic acid[PFHpS],perfluorooctanesulfonic acid[PFOS],and perfluorodecanesulfonic acid[PFDS]).The QuEChERS pretreatment parameters were systematically optimized using the response surface methodology.The tea leave samples were extracted with an 80%acetonitrile solution and subsequently purified by adding a mixed absorbent consisting of 20 mg N-propyl-ethylenediamine(PSA),210 mg graphitized carbon black GCB),and 60 mg octadecylsilane(C18).The supernatant was concentrated by nitrogen blowing and subsequently re-dissolved in 50%methanol-2 mmol/L ammonium acetate solution.The re-dissolved solution was injected into the UHPLC-MS/MS for analysis.The target analytes were separated on an ACQUITY UPLC BEH C18 column(2.1 mm×50 mm,1.7 μm).The mobile phases consisted of methanol(phase A)and 2 mmol/L aqueous ammonium acetate(phase B),with a gradient elution procedure.The total running time was 18 min.The mass spectrometry analysis was conducted using an electrospray ionization source in negative ionization mode and multi-reaction monitoring(MRM),with quantification performed using the internal standard curve method.The greenness of the analytical method was assessed using Analytical GREEnness calculator(AGREE)and the Analytical Eco-Scale method(AES).Results Under the optimized conditions,the limits of detection(LODs)and limits of quantification(LOQs)of the method were 0.005 7-1.23 ng/g and 0.019-4.09 ng/g,respectively.The average recoveries of most target compounds were 71.1%-117.9%,with relative standard deviations(RSDs)below 15%.The AGREE index of the method was 0.49,and the AES score was 76.At least one PFC was detected in each of the 132 tea leave samples,and the detection rate of carboxylic acid PFC was higher than that of sulfonic acid PFC.The highest detection rates were observed for PFBA at 97.74%,PFHpA at 93.23%,and PFOA at 92.24%.In contrast,PFHpS,PFUdA,PFDoA,PFHxDA,and PFODA were not detected in the samples.Conclusion The proposed method has the advantages of simplicity,rapidity and sensitivity,and is suitable for the analysis of PFCs in tea leaves.The method has high greenness with minimal impact on the operator and the environment.The widespread presence of PFC contamination in tea leaves available in the market warrants strengthened monitoring and regulatory control.

Objective To explore the effect of the knockdown of transmembrane 9 superfamily protein member 2 (TM9SF2) on the replication of vesicular stomatitis virus (VSV), and investigate its role in the mechanism of antiviral innate immunity. Methods Small interfering RNA (siRNA) was used to knock down the TM9SF2 gene in human non-small cell lung cancer A549 cells. The CCK-8 method was used to assess cell proliferation. A VSV-green fluorescent protein (VSV-GFP) infected cell model was established. The plaque assay was used to measure the viral titer in the supernatant. RT-qPCR and Western blotting were employed to quantify the mRNA and protein levels of VSV genome replication in A549 cells following VSV infection, as well as the expression of interferon β (IFN-β) mRNA and interferon regulatory factor 3 (IRF3) protein phosphorylation following polyinosinic-polycytidylic acid (poly(I:C)) stimulation. Results Compared to the negative control, the knockdown of TM9SF2 exhibited a significant effect, with no observed impact on A549 cell proliferation. The VSV-GFP infected A549 cell model was successfully established. After viral stimulation, fluorescence intensity was reduced following TM9SF2 knockdown, and the mRNA and protein levels of VSV were significantly downregulated. The viral titer of VSV was decreased. After poly(I:C) stimulation, TM9SF2 knockdown significantly upregulated the mRNA level of IFN-β and the phosphorylation level of IRF3 protein. Conclusion The knockdown of TM9SF2 inhibits the replication of vesicular stomatitis virus, and positively regulates the type I interferon signaling pathway, thus enhancing the host's antiviral innate immune response.
Humans ; Virus Replication/genetics* ; Signal Transduction ; Membrane Proteins/metabolism* ; A549 Cells ; Vesiculovirus/physiology* ; Interferon-beta/metabolism* ; Interferon Regulatory Factor-3/genetics* ; Interferon Type I/metabolism* ; Vesicular Stomatitis/immunology* ; Gene Knockdown Techniques ; Vesicular stomatitis Indiana virus/physiology* ; RNA, Small Interfering/genetics*

After the production of the gradient coil of the magnetic resonance imaging system, electromagnetic field testing is required to verify whether the assembly accuracy meets the electromagnetic field requirements. Since the passive magnetic field B _z satisfies the Laplace ^,s equation and is a harmonic function, and according to the extreme value principle of harmonic function, the maximum or minimum values of B _z can only appear on the boundaries, so the observation points of the magnetic field are generally selected on the surface of the spherical imaging area. For superconducting magnets used for human body magnetic resonance imaging, a spherical area with a center diameter of 40~50 cm is generally selected as the shimming target area. Only the field value of the target area needs to be measured, and the spherical harmonic coefficients obtained after data processing are used to determine the magnetic field performance of the gradient coil. There are many testing principles and methods for electromagnetic fields, so there is no unified way and method in the field of commercial applications. This article is based on the Gauss-Legendre numerical integration, measures and analyzes the magnetic field performance of gradient coils by building a data acquisition system, and this article applies numerical analysis methods to calculate the spherical harmonic coefficients of the magnetic field using discrete test data, providing a feasible method for the production and testing of gradient coils.
Magnetic Resonance Imaging/methods* ; Magnetic Fields ; Electromagnetic Fields ; Equipment Design

The casting and curing of gradient coils in the production process is a relatively complex process. The chemical process similar to the black box model requires confirmation of the impact of each step of input on the output results, while the curing temperature and molding method affect the roundness and deformation of the gradient coils. The analysis of the curing temperature and demolding method of gradient coils has important practical significance for the formation and micro deformation of gradient coils. This article uses ANSYS finite element simulation software to analyze the thermal structural coupling and the specific performance of actual products. It has been found that the product quality is more stable under the heat conduction mode, and the roundness of the mold is better when placed vertically and waiting for temperature cooling before being demolding than when placed horizontally.

Objective　To explore the effect of Mp1p on host macrophages through transcriptomics combined with metabolomics. Methods Firstly, a THP-1 macrophage strain (THP-1-Mp1p+) stably expressing Mp1p was constructed using lentivirus. Secondly, using high-throughput RNA sequencing (RNA Seq) technology, the expression level of intracellular mRNA was detected in transcriptomics analysis to determine differentially expressed genes; In metabolomics analysis, metabolite identification was performed through database comparison, and pathway analysis was performed on differential metabolites to reveal potential mechanisms of action. Finally, the results of metabolomics and transcriptomics were combined for analysis, and differential metabolites and genes were analyzed to further elucidate the mechanism of action of Mp1p on macrophages. Results Transcriptome analysis showed that, compared with the negative control group, the THP-1-Mp1p+ group had a total of 1 180 differentially expressed genes (DEGs), with 345 upregulated genes and 835 downregulated genes. GO enrichment analysis of DEGs showed that there were 135 differentially expressed genes, including 105 in biological processes (BP), 28 in cellular components (CC), and 2 in molecular functions (MF). The KEGG analysis results showed that the effect of Mp1p on THP-1 macrophages was highly correlated with the TNF pathway. The metabolomic analysis found that both the blank control group and the THP-1-Mp1p+ macrophage group achieved good separation between QC samples in both positive and negative ion modes. The threshold for significant differential metabolites was set at: VIP≥1 and T-test P<0.05, resulting in the identification of 488 differential metabolites, with 230 in the positive ion mode and 258 in the negative ion mode. Pathway enrichment analysis of the identified metabolites pointed to significant enrichment in metabolic pathways. The combined analysis confirmed that the tumor necrosis factor signaling pathway, interleukin-17 signaling pathway, and NF-kappaB signaling pathway were important metabolic pathways involved. Conclusions The virulence factor Mp1p may affect host macrophages by modulating the tumor necrosis factor signaling pathway, interleukin-17 signaling pathway, and NF-kappaB signaling pathway. The findings contribute to a better understanding of the mechanisms of action of Mp1p and may offer potential directions for the selection of relevant diagnostic and therapeutic targets in the future.

Diabetes mellitus (DM) affects about 9.3% of the population globally. Hyperhomocysteinemia (HHcy) has been implicated in the pathogenesis of DM, owing to its promotion of oxidative stress, β-cell dysfunction, and insulin resistance. HHcy can result from low status of one-carbon metabolism (OCM) nutrients (e.g., folate, choline, betaine, vitamin B6, B12), which work together to degrade homocysteine by methylation. The etiology of HHcy may also involve genetic variation encoding key enzymes in OCM. This review aimed to provide an overview of the existing literature assessing the link between OCM nutrients status, related genetic factors, and incident DM. We also discussed possible mechanisms underlying the role of OCM in DM development and provided recommendations for future research and practice. Even though the available evidence remains inconsistent, some studies support the potential beneficial effects of intakes or blood levels of OCM nutrients on DM development. Moreover, certain variants in OCM-related genes may influence metabolic handling of methyl-donors and presumably incidental DM. Future studies are warranted to establish the causal inference between OCM and DM and examine the interaction of OCM nutrients and genetic factors with DM development, which will inform the personalized recommendations for OCM nutrients intakes on DM prevention.

Objective:To compare the differences in inhaled medication prescriptions among patients with chronic obstructive pulmonary disease (COPD) who visited the Global Initiative for Chronic Obstructive Pulmonary Disease (GOLD 2023) one year after its release and the previous year, and to analyze the impact of GOLD 2023 on physician inhaled medication prescriptions.Methods:This study was a cross-sectional study, with data sourced from the RealDTC study. The study subjects were chronic obstructive pulmonary disease patients who visited the respiratory and critical care departments of 13 hospitals in southern China from November 14, 2021 to November 15, 2023. According to the time of patient visits, they are divided into the following two groups: the group 1 year before the release of GOLD 2023 (November 14, 2021 to November 14, 2022), and the group 1 year after the release of GOLD 2023 (November 15, 2022 to November 15, 2023). We collected demographic characteristics, lung function, symptom scores, history of acute exacerbation in the past year, and inhaled medication prescriptions from patients. According to the symptom score of COPD patients in GOLD 2023 and their history of acute exacerbation in the past year, they were divided into three groups: A, B, and E. The treatment status of inhaled drugs in groups A, B, and E before and after the release of GOLD 2023 was compared.Results:There were statistically significant differences in COPD Assessment Test (CAT) scores, Modified Medical Research Council (mMRC) scores, and the number of acute exacerbations in the past year between patients with COPD before and after the release of GOLD 2023 (all P<0.05). Compared with the group one year before the release of GOLD 2023, the proportion of patients in the group one year after the release of GOLD 2023 using long-acting muscarinic antagonists (LAMA) and inhaled corticosteroids (ICS)+ long-acting β2-receptor agonists (LABA) was lower, while the proportion of patients using LABA+ LAMA and ICS+ LABA+ LAMA was higher (all P<0.05). There was no statistically significant difference ( P>0.05) in the proportion of patients in group A using LAMA between the year before and after the release of GOLD 2023. Compared to the year before the release of GOLD 2023, the proportion of patients in group A who prescribed ICS+ LABA was lower, while the proportion of using LABA+ LAMA and ICS+ LABA+ LAMA was higher (all P<0.05); The proportion of patients in group B who prescribed LAMA and ICS+ LABA was lower (all P<0.05), while the proportion of using LABA+ LAMA and ICS+ LABA+ LAMA was higher (all P<0.05); The proportion of patients in group E who prescribed LAMA and ICS+ LABA was lower (all P<0.05), while the proportion of using LABA+ LAMA and ICS+ LABA+ LAMA was higher (all P<0.05). Conclusions:After the release of GOLD 2023, the prescription of ICS+ LAMA in groups A, B, and E decreased, and the prescriptions of LABA+ LAMA and ICS+ LABA+ LAMA increased compared to before; However, in the real world, the compliance of physicians with GOLD 2023 is still not ideal.

Objective To observe the alterations in functional complexity of brain regions in autism spectrum disorder(ASD)patients and correlations with the predicted brain age.Methods Open brain resting-state functional MRI(rs-MRI)data of 93 ASD patients and 96 typically developing adolescents(healthy subjects)were downloaded.The functional complexity in brain regions were extracted with self-developed virtual digital brain software,and the alterations in functional complexity of brain regions in ASD patients and correlations with their ages were analyzed.Two networks were prospectively trained with data of 65 ASD patients and 67 healthy subjects as the training set to predict brain age,and the results were evaluated,and the predicting errors were compared using test set,i.e.the other 28 ASD patients and 29 healthy subjects.Results Compared to healthy subjects,on the basis of anatomical automatic labeling(AAL)atlas,ASD patients exhibited significantly reduced functional complexity based on Shannon entropy in the left precuneus,left cuneus and right parahippocampal gyrus.Conversely,functional complexity of ASD patients based on permutation entropy significantly increased in the left cuneus and right cerebellar Crus Ⅱ region.The left hippocampus showed reduced functional complexity based on Pearson correlation coefficient,while the left middle temporal gyrus showed increased functional complexity based on Pearson correlation coefficient.The functional complexity in brain regions of ASD patients were not closely correlated with ages(all|r|＜0.4).According to the trained fully connected network,the predicted brain ages of ASD patients and healthy subjects in test set were all lower than their physiological ages,but no significant difference was found between the prediction errors of ASD patients and healthy subjects(P=0.283).Conclusion Functional complexity changed in some brain region functions in ASD patients.The predicted brain ages of ASD patients based on the obtained fully connected network were on the low side,but not obviously affected by the alterations of functional complexity in brain regions.