In order to understand the prevalence of Akabane disease(AKAD)in Guizhou Province and the molecular characteristics of the isolates,the whole-genome sequence of a strain of Akabane virus(AKAV)from a bovine AKAD-positive sample was determined and analyzed.The genotype and genetic variation of the strain were also explored.Based on the conserved S sequence,a fluores-cence quantitative PCR(qPCR)detection method was established and applied for the investigation of AKAV infection status in four large-scale beef cattle farms of Guizhou.Results showed that the S,M and L fragments of the bovine strain were highly homologous to the Tianjin strain(TJ2016/China/2016)and the Australian strain(JaLAB39/Australia/1959),where they were in the same evolutionary branch and belonged to genotype Ⅱ.Sensitivity assay found that the lowest detection limit was 2.5 X 101 copies/μL.Specificity assay showed the established method detected only AKAV with no amplification on bovine bluetongue virus(BLUV),Pasteurella multocida(PM),bovine infectious rhinotracheitis virus(IBRV)and bovine Mycoplasma bovis.The variation coefficients of inter-and intra batches in the repeatability test were both lower than 2.26％.These findings illus-trated that the established qPCR method had high sensitivity,good specificity and repeatability.A total of 298 serum samples from 4 large-scale beef cattle farms in Qianxi City and Huangping County of Guizhou Province were collected and tested for AKAV by the method.Out of 298 sam-ples,25 positive samples(25/298)were detected as positive with a positive rate of 8.39％.In sum-mary,this work provided the reference data for a deep understanding of the molecular prevalence of AKAV in Guizhou Province and laid foundation for the prevention and control of AKAD.

Objective:To evaluate the predictive value of a risk prediction model guided by the ratio of respiratory rate to diaphragm thickening fraction (RR/DTF) for noninvasive-invasive mechanical ventilation transition timing in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD), through ultrasound evaluation of diaphragm movement indicators.Methods:Sixty-four patients diagnosed with AECOPD and undergoing non-invasive ventilation (NIV), who were admitted to the department of critical care medicine of the First Affiliated Hospital of Jinzhou Medical University from January 2022 to July 2023 were enrolled. They were divided into NIV successful group and NIV failure group based on the outcome of NIV within 24 hours. Clinical indicators such as RR/DTF, diaphragmatic excursion (DE), tidal volume (VT), respiratory rate (RR), pH value, partial pressure of carbon dioxide (PaCO 2), and sputum excretion disorder were compared between the two groups after 2 hours of NIV. The factors influencing NIV failure were included in binary Logistic regression analysis, and an RR/DTF oriented risk prediction model was established. Receiver operator characteristic curve (ROC curve) analysis was used to assess the predictive value of this model for the timing of noninvasive-invasive mechanical ventilation transition in AECOPD patients. Results:Among 64 patients with AECOPD, with 43 in the NIV successful group and 21 in the NIV failure group. There were no statistically significant differences in baseline data such as age, gender, body mass index (BMI), oxygenation index (P/F), smoking history, and acute physiological and chronic health evaluation Ⅱ (APACHEⅡ) between the two groups of patients, indicating comparability. Compared to the NIV successful group, the NIV failure group showed a significantly increase in RR/DTF, RR, PaCO 2, and sputum retention, while VT and DE were significantly decreased [RR/DTF (%): 1.00±0.18 vs. 0.89±0.22, RR (bpm): 21.64±3.13 vs. 19.62±2.98, PaCO 2 (mmHg, 1 mmHg≈0.133 kPa): 70.82±8.82 vs. 65.29±9.47, sputum retention: 57.1% vs. 30.2%, VT (mL): 308.09±14.89 vs. 324.48±23.82, DE (mm): 19.91±2.94 vs. 22.05±3.30, all P < 0.05]. Binary Logistic regression analysis showed that RR/DTF [odds ratio ( OR) = 147.989, 95% confidence interval (95% CI) was 3.321-595.412, P = 0.010], RR ( OR = 1.296, 95% CI was 1.006-1.670, P = 0.045), VT ( OR = 0.966, 95% CI was 0.935-0.999, P = 0.044), PaCO 2 ( OR = 1.086, 95% CI was 1.006~1.173, P = 0.035), and sputum retention ( OR = 4.533, 95% CI was 1.025-20.049, P = 0.046) were independent risk factors for predicting NIV failure in AECOPD patients. ROC curve analysis showed that the area under the curve (AUC) of 0.713 with a 95% CI of 0.587-0.839 ( P = 0.005). The sensitivity was 72.73%, the specificity was 88.10%, the Youden index was 0.394, and the optimal cut-off value was 0.87. Conclusion:The RR/DTF risk prediction model has good predictive value for the timing of noninvasive-invasive mechanical ventilation transition in AECOPD patients.

OBJECTIVE To investigate the distribution and regulation of G-quadruplex(G4)in enzymes related to glycolysis.METHODS The sequences of the transcription start site(TSS)region upstream of 1500 bp to the 5'-Untranslated region in 200 enzymes and their subtypes in glycolysis were selected for bioinformatics analysis.Related enzymes in glycolysis containing putative G-quadru-plex-forming sequences(PQSs)were identified.Circular Dichroism and Native polyacrylamide gel elec-trophoresis were used to verify the formation of G4.The ExonucleaseⅠhydrolysis assay was used to validate the stability of the formed G4 under 0,0.5,2,8,16,and 32 min.A reporter gene plasmid was constructed by inserting specific fragments of the related enzymes before the luciferase expression sequence.The dual-luciferase reporter assay system validate the expression level of luciferase to assess the impact of G4 on promoter activity.Real-time quantitative PCR was performed to validate the transcriptional regulatory role of G4 by detecting the mRNA levels of luciferase.RESULTS ①Bioin-formatics analysis showed that out of the 200 glycolysis-related enzymes,12 contained PQSs.Based on the analysis of the length and structure of PQSs,aldolase A(ALDOA)and phosphoglycerate mutase 2(PGAM2)proved to be able to form stable G4.② ALDOA and PGAM2 had the maximum positive absorption peak at 260 nm and maximum negative absorption peak at 240 nm.Both of them could form a G4 at the same time.③After digestion with ExonucleaseⅠ,ALDOA and PGAM2 showed no significant hydrolysis and demonstrated the stability of G4 structures.However,both of them could be gradually hydrolyzed after mutations in their PQSs.④ After PQS mutation of ALDOA and PGAM2,the mRNA levels and expression of downstream luciferase of ALDOA were significantly increased(P<0.05,P<0.01),while PGAM2 was significantly decreased(P<0.05,P<0.01).CONCLUSION The gene sequences of glycolysis-related enzymes and their subtypes contain a large number of PQSs.ALDOA and PGAM2 can form stable G4 and perform transcriptional regulatory functions.

Objective To propose strategies for developing clinical predictive models,aiming to assist researchers in conducting standardized clinical prediction model studies.Methods Literature review was conducted to summarize the operational steps and content for developing clinical predictive models.Then,a methodological framework was summarized and refined through expert consultation.Results The 11-step methodological framework for developing clinical predictive models was obtained by synthesizing the experience of 456 clinical predictive modeling studies and expert consultation,and the details were analyzed and elaborated.Conclusions This study presents methodological strategies and recommendations for the development of clinical predictive models,intended to serve as a guide for researchers.

Objective To investigate the pathological damage to and inflammation of different intestinal segments in a rat model of severe hemorrhage,and to explore the effect of polarization of intestinal macrophage on the pathophysiology of intestinal inflammation.Methods Male Wistar rats were randomly divided into two groups:the sham operation group and hemorrhage group.In the hemorrhage group,40％of the total blood volume was lost in 25-30 minutes,while in the sham operation group,only the femoral artery and vein were intubated without bleeding.The rats were killed at 0,3,6,12 and 24 hours.The entire intestine was isolated quickly,and sections of the intestine were cut at the duodenum,jejunum,ileocecal junction,colon and rectum for histopathological evaluation.ELISA was adopted to determine related inflammation factors while multi-color immunohistochemistry was used to calculate macrophage surface markers.The data was statistically analyzed.Results(1)Compared with the sham group,there was no significant difference in colon histology at 3 h and 6 h,but significant difference was detected in rectum scores only at 24 h.The scores of other intestinal segments were significantly different at each time point.The severity of ileocecal and colonic lesions after bleeding increased with time.The duodenum,jejunum and ileocecum were more critically injured at 3 h than the rectum at 6 h.The injury to the duodenum,jejunum,ileum and colon was much more pronounced than to the rectum at 12 h.(2)The expressions of TNF-α and IL-1β in the rectum were increased significantly at 12 h post operation.The expressions of IL-1β,TNF-α in the jejunum increased obviously at 3 h and 6 h,respectively.(3)Three hours after severe bleeding,the level of macrophages in the jejunum and ileocececal area increased significantly,and the percentage of M1 macrophages was higher.After 6 hours,the proportion of M2 macrophages in the jejunum and M1 macrophages decreased significantly.After 3 hours,the percentage of M1 macrophages in the colon decreased,but that of M2 macrophages increased.The proportion of M2 polarized macrophages in the duodenum and rectum increased at 3 h after severe bleeding but decreased at 6 h.Conclusion Pathological damage to intestinal sections after bleeding varies depending on the time,and is correlated with the inflammatory level of macrophages.

Objective:To discuss the clinical efficacy of treating lumbar muscle strain(LMS)with Tuina(Chinese therapeutic massage)plus Chinese medication hot compress. Methods:A total of 147 LMS patients were randomized into a Tuina group,a Chinese medication hot compress group,and a combined group,each consisting of 49 cases.The Tuina group received Tuina treatment;the Chinese medication hot compress group received Chinese medication hot compress treatment;and the combined group received the forementioned two therapies alternately.The three groups of patients were assessed using the visual analog scale(VAS)and Oswestry disability index(ODI)before treatment and after 2 weeks of treatment.A 2-month follow-up was also conducted to observe the relapse rate. Results:The VAS and ODI scores dropped significantly after treatment in all three groups compared with their baseline(P<0.05),and the combined group surpassed the other two groups in comparing the ODI score(P<0.05).The 2-month follow-up showed that the combined group had the lowest relapse rate among the three groups(P<0.05). Conclusion:Compared to each therapy used alone,Tuina plus Chinese medication hot compress can relieve pain,improve daily living function,and reduce the short-term relapse rate better in treating LMS patients.

Itaconate is a pivotal intermediate metabolite in the tricarboxylic acid (TCA) cycle of immune cells. It is produced by decarboxylation of cis-aconitic acid under the catalysis of aconitate decarboxylase 1 (ACOD1), which is encoded by the immune response gene 1 (IRG1). Itaconate has become a focal point of research on immunometabolism. Studies have demonstrated that itaconate plays a crucial role in diseases by regulating inflammation, remodeling cell metabolism, and participating in epigenetic regulation. This paper reviewed the research progress in itaconnate from its chemical structure, regulatory effects on different diseases, and mechanisms, proposes the future research directions, aiming to provide a theoretical basis for the development of itaconate-related drugs.
Humans ; Succinates/metabolism* ; Carboxy-Lyases/genetics* ; Inflammation/metabolism* ; Citric Acid Cycle ; Animals ; Epigenesis, Genetic ; Neoplasms/immunology*

AIM: To investigate the mechanism of baicalin-induced apoptosis in human laryngeal cancer cells. METHODS: AMC-HN-8 cells were selected for the study, and baicalin was applied to the cells at different concentrations (0, 10, 30, 100, and 300 μmol/L), and the half-inhibitory concentration (IC50) was measured by the CCK-8 method. Bax, cleaved-caspase-3, Cyto-c, IRF4 protein expression by protein blotting (Western blot); miR-125b-5p and IRF4 expression by RT-qPCR. Dual-luciferase reporter gene validation of Targetscan prediction (binding of miR-125b-5p to IRF4-3'UTR); apoptosis and necrosis inhibitors explore the way baicalein induces death in laryngeal cancer cells. AMC-HN-8 was then divided into blank group, baicalein (IC50), miR-125b-5p inhibitor group, baicalein + inhibitor NC group, baicalein+miR-125b-5p inhibitor group, and cell invasion and clone formation assays to detect cell invasion and proliferation ability, respectively. Apoptosis was detected by flow cytometry. RESULTS: Baicalein inhibited the proliferation of AMC-HN-8 cells in a dose-dependent manner with an IC50 value of 47.31 μmol/L. Compared with the blank group, 47.31 μmol/L baicalin induced apoptosis and inhibited cell invasion, while upregulating the expression of miR-125b-5p and suppressing the mRNA and protein levels of IRF4. The luciferase results showed that the miR-125b-5p mimic was able to inhibit the activity of the IRF4-3'UTR promoter relative to the NC mimic (mimic) group. Baicalein induces laryngeal cancer cell death in an apoptotic manner. In addition, the combination of 47.31 μmol/L baicalin and miR-125b-5p inhibitor affected the behavior of AMC-HN-8 cells, showing that compared with the blank group, the baicalin group showed a decrease in the number of cell clones, weakened invasion ability, and increased apoptosis; the miR - 125b-5p inhibitor group showed an increase in the number of cell clones, enhanced invasion ability and decreased apoptosis. The baicalin+ inhibitor NC group was consistent with baicalin, with no significant effect of inhibitor NC on cell behavior. The cloning, invasion, and apoptosis of cells in the baicalin+miR-125b-5p inhibitor group were intermediate between the baicalin and miR-125b-5p inhibitor groups. CONCLUSION: Baicalin inhibits the proliferation of AMC-HN-8 cells, and the mechanism may be related to miR-125b-5p targeting to inhibit the expression of IRF4, inducing the pro-apoptotic proteins Bax, cleaved-caspase3, and Cyto-c, and inhibiting the apoptosis suppressor protein Bcl-2 thereby inducing apoptosis.

Arrhythmia is a significant cardiovascular disease that poses a threat to human health, and its primary diagnosis relies on electrocardiogram (ECG). Implementing computer technology to achieve automatic classification of arrhythmia can effectively avoid human error, improve diagnostic efficiency, and reduce costs. However, most automatic arrhythmia classification algorithms focus on one-dimensional temporal signals, which lack robustness. Therefore, this study proposed an arrhythmia image classification method based on Gramian angular summation field (GASF) and an improved Inception-ResNet-v2 network. Firstly, the data was preprocessed using variational mode decomposition, and data augmentation was performed using a deep convolutional generative adversarial network. Then, GASF was used to transform one-dimensional ECG signals into two-dimensional images, and an improved Inception-ResNet-v2 network was utilized to implement the five arrhythmia classifications recommended by the AAMI (N, V, S, F, and Q). The experimental results on the MIT-BIH Arrhythmia Database showed that the proposed method achieved an overall classification accuracy of 99.52% and 95.48% under the intra-patient and inter-patient paradigms, respectively. The arrhythmia classification performance of the improved Inception-ResNet-v2 network in this study outperforms other methods, providing a new approach for deep learning-based automatic arrhythmia classification.
Humans ; Arrhythmias, Cardiac/diagnostic imaging* ; Cardiovascular Diseases ; Algorithms ; Databases, Factual ; Electrocardiography