ObjectiveTo evaluate the antipyretic effect of the Qingwen Baiduling prescription in a dry yeast-induced rat fever model and to investigate its antipyretic mechanism， providing a theoretical basis for its clinical application. MethodsSPF-grade male SD rats were randomly assigned to six groups （n=6 per group）： control， model， aspirin （20 mg·kg^-1）， and high-， medium-， and low-dose Qingwen Baiduling prescription groups （14.40， 7.20， 3.60 g·kg^-1）. The fever model was established by subcutaneous injection of dry yeast suspension on the back. After model induction， body temperature was recorded every 1 hour. Drugs were administered at 6 hours after modeling， and body temperature was continuously recorded hourly for 12 hours. Record the body temperature of rats to observe the trend of changes in body temperature. Serum interleukin-6 （IL-6）， interleukin-1β （IL-1β）， and tumor necrosis factor-α （TNF-α） levels， as well as hypothalamic prostaglandin E₂ （PGE₂） and cyclic adenosine monophosphate （cAMP）， were measured using enzyme-linked immunosorbent assay （ELISA）. Hypothalamic tissue morphology was examined by hematoxylin and eosin （HE） staining. Western blot was used to detect hypothalamic expression of Toll-like receptor 4 （TLR4）， myeloid differentiation factor 88 （MyD88）， nuclear factor-κB p65 （NF-κB p65）， inhibitor κBα （IκBα）， phosphorylated IκBα （p-IκBα）， IκB kinase α （IKKα）， IKKβ， phosphorylated IKKα/β （p-IKKα/β）， and cyclooxygenase-2 （COX2）. ResultsCompared with the control group， the model group showed a significant increase in body temperature 6 hours after modeling （P0.01）， confirming successful fever induction. Serum IL-6， IL-1β， TNF-α， and hypothalamic cAMP and PGE₂ levels were significantly elevated （P0.01）. Hypothalamic neurons exhibited irregular morphology and disordered distribution， accompanied by inflammatory cell infiltration and microglial aggregation. Expression levels of TLR4/NF-κB pathway-related proteins and phosphorylated proteins were significantly increased （P0.05， P0.01）. Compared with the model group， 2-3 hours after administration， all Qingwen Baiduling prescription dose groups significantly reduced body temperature （P0.01）. All dose groups significantly decreased serum IL-6， IL-1β， TNF-α， and hypothalamic cAMP and PGE₂ levels （P0.05， P0.01）. Neuronal morphology was markedly improved in the high- and medium-dose groups， with narrowed intercellular spaces and reduced inflammatory infiltration. The prescription effectively inhibited hypothalamic expression of TLR4， MyD88， NF-κB p65， p-IκBα， p-IKKα/β， and COX2 proteins （P0.05， P0.01）. ConclusionQingwen Baiduling prescription effectively reduces body temperature in rats by mitigating the further effects of inflammatory cytokines on the hypothalamic thermoregulatory center through the blood-brain barrier. Its antipyretic mechanism may be related to inhibition of NF-κB pathway activation.

Objective To study the effect of neuromodulatory protein-1(NRG-1)in inhibiting sepsis induced myocardial injury and its mechanism.Methods The rat sepsis model was established by cecal ligation and puncture(CLP).SD rats were divided into the sham operation group,sepsis group,sepsis+NRG group(rhNRG,10 μg/kg).After 12,24 h of successful modeling,the heart and peripheral serum of the surviving rats in each group were taken respectively.The HE staining was used to observe the changes of cardiac tissue morphology and structure,and ELISA was used to detect the expression levels of creatine kinase(CK),crea-tine kinase MB isoenzyme(CK-MB),sensitive troponin Ⅰ(cTnⅠ)in serum,tumor necrosis factor-α(TNF-α)in cardiac tissue and IL-6 expression level;Western blot was used to detect the phosphorylation protein ki-nase B(p-Akt),phosphorylation glycogen synthase kinaseβ(p-GSK3β),B-cell lymphoma/leukemia-2(Bcl-2)and Bax protein expression in rat myocardial tissue.Results After 12,24 h of modeling,compared with the sham group,the expression levels of CK,CK-MB and cTnⅠ in serum,TNF-α,IL-6 and Bax protein in myocar-dial tissue in the sepsis group all were significantly increased(P＜0.05),while the expression levels of p-Akt and p-GSK3β in myocardial tissue were significantly decreased(P＜0.05).After 12,24 h of modeling,com-pared with the sepsis group,the expression levels of CK,CK-MB,cTn Ⅰ in the serum and the expression levels of TNF-α,IL-6 in the myocardial tissue of the sepsis+NRG group were significantly decreased;after 24 h of modeling,compared with the sepsis group,the expression level of Bax protein in myocardial tissue of the sep-sis+NRG group was decreased,while the p-Akt,p-GSK3β expression levels were increased(P＜0.05).The pathological results showed that compared with the sham operation group,the sepsis group produced signifi-cant lesions;compared with the sepsis group,the lesions in the sepsis+NRG group were alleviated.Conclusion The expression levels of related biomarkers in septic myocardial injury have change.NRG-1 could improve the cardiac function through Akt/GSK3β pathway,inhibit the related proinflammatory factors and reduce the myocardial tissue damage.

Developing and implementing biosafety standards for pathogenic microbiology laboratories is essential to achieving scientific, efficient, and standardized management and operation. This article analyzes the current standardization construction in biosafety in pathogenic microbiology laboratories domestically and internationally. It proposes a framework for the biosafety standard system of pathogenic microbiology laboratories, which mainly includes four parts: basic standards, management standards, technical standards, and industry applications. It provides a reference for the standardization work of pathogenic microbiology laboratories and helps to standardize the biosafety industry in China.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

Objective:To investigate the clinical value of deep learning model based on contrast enhanced ultrasound (CEUS) video in the differential diagnosis of benign and malignant liver tumors.Methods:Between May 2010 and June 2022, 1 213 patients who underwent CEUS examination for liver masses in the Affiliated Hospital of Southwest Medical University were retrospectively collected, and the enrolled patients were divided into training and independent test cohorts with December 31, 2021 as the time cut-off. In the training cohort, the TimeSformer algorithm was used as the infrastructure, and multiple fixed-time segments were obtained from CEUS arterial videos by using the sliding window of the video, and the classification results of the entire video were obtained after fusing the features of multiple segments, so as to build a deep learning model based on CEUS videos. In the independent test cohort, ROC curves were used to verify the validity of the model and compared with three radiologists with different CEUS experience (R1, R2, and R3, with 3, 6, and 10 years of CEUS experience, respectively).Results:A total of 1 213 patients with liver masses were included in the study, including 1 066 patients in the training cohort (426 cases of malignancy) and 147 patients in the independent test cohort (50 cases of malignancy). The area under curve (AUC)value of deep learning model was 0.93±0.01 in the training cohort and 0.89±0.01 in the independent test cohort, and the accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were 80.42%, 74.19%, 92.00%, 94.52% and 65.71%, respectively. Among the three radiologists, R1 had the lowest diagnostic performance, with accuracy, sensitivity, specificity, PPV and NPV of 67.83%, 51.61%, 98.00%, 97.96% and 52.13%, respectively, while the above indicators of R3 were 82.52%, 76.36%, 94.00%, 95.95% and 68.12%, respectively. McNemar′s test showed that the difference between R1 and the deep learning model was statistically significant ( P<0.001), while the differences between R2 and R3 and the deep learning model were not statistically significant ( P=0.720, 0.868). In addition, the analysis time of the model for a single case was (340.24±16.32)ms, while the average analysis time of radiologists was 62.9 s. Conclusions:The deep learning model based on CEUS can better identify benign and malignant liver masses, and may reach the diagnostic level of experienced radiologists.

Objective:To investigate the clinical characteristics of first-episode and recurrent acute hypertriglyceridemic pancreatitis (HTGP).Methods:The retrospective cohort study was con-ducted. The clinical data of 313 patients with HTGP admitted to 26 medical centers in China in the Chinese Acute Pancreatitis Clinical Research Group (CAPCTG)-PERFORM database from November 2020 to December 2021 were collected. There were 219 males and 94 females, aged 38(32,44)years. Of the 313 patients, 193 patients with first-episode HTGP were allocated into the first-episode group and 120 patients with recurrent HTGP were allocated into the recurrent group. Observation indica-tors: (1) propensity score matching and comparison of general data of patients between the two groups after matching; (2) comparison of severity and prognosis in the course of disease within 14 days between the two groups; (3) the association between recurrent HTGP and the risk of persistent organ failure (POF); (4) follow-up. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Wilcoxon rank sum test. Count data were expressed as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the Wilcoxon rank sum test. The Kaplan-Meier method was used to plot the cumulative recurrence rate curve and Log-Rank test was used for survival analysis. The Logistic regression model was used for multivariate analysis, and continuous variables were converted into categorical variables according to the mean value or common criteria. Propensity score matching was performed by 1∶1 nearest neighbor matching method, with caliper value of 0.02. Paired t test or Wilcoxon rank sum test and McNemar′s test were used for comparison between matched groups. Results:(1) Propensity score matching and comparison of general data of patients between the two groups after matching. Of the 313 patients,208 cases were successfully matched, including 104 cases in the first-episode group and 104 cases in the recurrent group. After propensity score matching, there was no significant difference in demographic characteristics, severity of illness scores and laboratory test between the two groups ( P>0.05). The elimination of gender, acute physiology and chornic health evaluation (APACHE) Ⅱ score, computed tomography severity index score, systemic inflammatory response syndrome score, sequential organ failure assessment score, apolipoprotein E, C-reactive protein, creatinine, lactic acid dehydrogenase, procal-citonin confounding bias ensured comparability between the two groups. (2) Comparison of severity and prognosis in the course of disease within 14 days between the two groups. There were signifi-cant differences in POF and local complications between the first-episode group and the recurrent group ( P<0.05). (3) The association between recurrent HTGP and the risk of POF. Results of uncor-rected univariate analysis showed that there was no association between recurrent HTGP and the risk of POF ( odds ratio=0.78, 95% confidence interval as 0.46-1.30, P>0.05). Results of multivariate analysis after adjusting for covariates such as gender, age, APACHE Ⅱ score, C-reactive protein, triglyceride and total cholesterol showed that compared with first-episode HTGP, recurrent HTGP was associated with a higher risk of POF ( odds ratio=2.22, 95% confidence interval as 1.05-4.71, P<0.05). Results of subgroup analysis showed that age<40 years was associated with an increased risk of POF ( odds ratio=3.31, 95% confidence interval as 1.09-10.08, P<0.05). (4) Follow-up. Twelve of the 313 patients died during hospitalization, including 9 cases in the first-episode group and 3 cases in the recurrent group. The rest of 301 surviving patients, including 184 cases in the first-episode group and 117 cases in the recurrent group, were followed up for 19.2(15.5, 21.9)months. Results of follow-up showed that for 184 survived patients of the first-episode group, 164 cases were followed up and 24 cases experienced recurrence, for 117 survived patients of the recurrent group,29 cases experienced recurrence, showing a significant difference between the two groups ( χ2=4.67, P<0.05). Conclusion:Compared with first-episode HTGP, patients with recurrent HTGP are more prone to POF and local complications, and are more prone to recurrence after discharge. The risk of POF in recurrent HTGP patients is 2.22 times that of those with first-episode, and the risk is higher in patients with age <40 years.

AIM To investigate the consistency of chemical constituents between formula granules and standard decoction of Coptidis Rhizoma.METHODS Eighteen batches of standard decoctions were prepared,after which the extraction rate and contents,transfer rates of magnolflorine,jatrorrhizine,columbamine,epiberberine,coptisine,palmatine,berberin were determined,HPLC characteristic chromatograms were established.RESULTS There were 11 common peaks in the characteristic chromatograms of 18 batches of standard decoctions and 24 batches of formula granules with the similarities of 0.861-1.000,which were clusterd into two categories.The formula granules and standard decoction demonstrated approximated extraction rate and contents,transfer rates of index constituents.CONCLUSION The chemical constituents between formula granules and standard decoction of Coptidis Rhizoma display good consistency,which can provide references for the quality control,process research and clinical application of the former.

OBJECTIVE: To explore the brain effect mechanism and the correlation between brain functional imaging and cognitive function in treatment of depressive disorder (DD) with transcutaneous auricular vagus nerve stimulation (taVNS) based on the resting-state functional magenetic reasonance imaging (rs-fMRI). METHODS: Thirty-two DD patients were included in a depression group and 32 subjects of healthy condition were enrolled in a normal group. In the depression group, the taVNS was applied to bilateral Xin (CO₁₅) and Shen (CO₁₀), at disperse-dense wave, 4 Hz/20 Hz in frequency and current intensity ≤20 mA depending on patient's tolerance, 30 min each time, twice daily. The duration of treatment consisted of 8 weeks. The patients of two groups were undertaken rs-fMRI scanning. The scores of Hamilton depression scale (HAMD), Hamilton anxiety scale (HAMA) and Wisconsin card sorting test (WCST) were observed in the normal group at baseline and the depression group before and after treatment separately. The differential brain regions were observed before and after treatment in the two groups and the value of degree centrality (DC) of fMRI was obtained. Their correlation was analyzed in terms of HAMD, HAMA and WCST scores. RESULTS: The scores of HAMD and HAMA in the depression group were all higher than those in the normal group (P<0.05). After treatment, the scores of HAMD and HAMA were lower than those before treatment in the depression group; the scores of total responses, response errors and perseverative errors of WCST were all lower than those before treatment (P<0.05). The brain regions with significant differences included the left inferior temporal gyrus, the left cerebellar peduncles region 1, the left insula, the right putamen, the bilateral supplementary motor area and the right middle frontal gyrus. After treatment, the value of DC in left supplementary motor area was negatively correlated to HAMD and HAMA scores respectively (r=-0.324, P=0.012; r=-0.310, P=0.015); the value of DC in left cerebellar peduncles region 1 was negatively correlated to the total responses of WCST (r=-0.322, P=0.013), and the left insula was positively correlated to the total responses of WCST (r=0.271, P=0.036). CONCLUSION The taVNS can modulate the intensity of the functional activities of some brain regions so as to relieve depressive symptoms and improve cognitive function.
Humans ; Depression/therapy* ; Magnetic Resonance Imaging/methods* ; Vagus Nerve Stimulation/methods* ; Brain/diagnostic imaging* ; Transcutaneous Electric Nerve Stimulation/methods* ; Vagus Nerve

Alzheimer's disease (AD) is an irreversible neurodegenerative disorder that damages patients' memory and cognitive abilities. Therefore, the diagnosis of AD holds significant importance. The interactions between regions of interest (ROIs) in the brain often involve multiple areas collaborating in a nonlinear manner. Leveraging these nonlinear higher-order interaction features to their fullest potential contributes to enhancing the accuracy of AD diagnosis. To address this, a framework combining nonlinear higher-order feature extraction and three-dimensional (3D) hypergraph neural networks is proposed for computer-assisted diagnosis of AD. First, a support vector machine regression model based on the radial basis function kernel was trained on ROI data to obtain a base estimator. Then, a recursive feature elimination algorithm based on the base estimator was applied to extract nonlinear higher-order features from functional magnetic resonance imaging (fMRI) data. These features were subsequently constructed into a hypergraph, leveraging the complex interactions captured in the data. Finally, a four-dimensional (4D) spatiotemporal hypergraph convolutional neural network model was constructed based on the fMRI data for classification. Experimental results on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database demonstrated that the proposed framework outperformed the Hyper Graph Convolutional Network (HyperGCN) framework by 8% and traditional two-dimensional (2D) linear feature extraction methods by 12% in the AD/normal control (NC) classification task. In conclusion, this framework demonstrates an improvement in AD classification compared to mainstream deep learning methods, providing valuable evidence for computer-assisted diagnosis of AD.
Humans ; Alzheimer Disease/diagnostic imaging* ; Neural Networks, Computer ; Magnetic Resonance Imaging/methods* ; Neuroimaging/methods* ; Diagnosis, Computer-Assisted ; Brain ; Cognitive Dysfunction

MYB transcription factors are involved in the regulation of various secondary metabolites biosynthesis. Gardenia jasminoides Ellis is the commonly used Chinese herbal medicine, and its main active ingredient is geniposide. Here, leaves and flower buds at different developmental stages of G. jasminoides were used to explore MYB transcription factors related to geniposide biosynthesis based on genome and transcriptome analysis. Transcriptome data analysis showed that, different from the expression of the common pathway genes for terpenoid biosynthesis, the expression level of genes in the specific pathway of geniposide biosynthesis was significantly higher in flower buds than in leaves, which was the same as the organ accumulation pattern of this component. And the promoter regions of geraniol synthase, iridoid synthase and geniposidic acid methyltransferase involved in the specific pathway all contained multiple MYB-binding sites. A total of 105 MYB transcription factors were obtained by annotating the coding genes of G. jasminoides, which were divided into 68 1R-MYB, 33 R2R3-MYB, 3 3R-MYB and 1 atypical MYB transcription factor according to the number of conserved domain. Based on the analysis of phylogenetic tree and quantitative real-time PCR, three candidate MYB transcription factors related to geniposide biosynthesis were selected, including potential positive regulation factor GjMYB23 and negative regulation factors GjMYB31 and GjMYB73. The results of this study will lay a foundation for searching the regulation of geniposide biosynthesis and further analysis of the quality formation mechanism of G. jasminoides, so as to promote the breeding of excellent varieties of G. jasminoides.