Depression is a widespread psychiatric disorder with complex pathogenesis and unsatisfactory therapeutic effects. As a native flavonoid, Isorhamnetin (ISO) has been deemed to exert neuroprotective effects by antioxidation and regulation of immunity. However, no reports of anti-depressed effect of ISO have yet been found. The present study was conducted to clarify the mechanism basis of anti-depressed effect of ISO utilizing behavioral, biochemical, molecular approaches in vitro and in vivo and bio-informatics analysis. The effects of ISO on depressed mice was investigated through the SPT and FST, and the lesions were examined by H&E staining. Besides, the inflammatory factor and indicator in kynurenine pathway were assessed through detection kits, and the microbiota were checked by 16sRNA. Molecular docking study was performed to investigate the target of ISO. Additionally, Western blot was used to test the activation of PI3K/AKT signaling pathway. The results indicated that ISO could enhance the sugar water preference of mice in SPT and reduce immobility time in FST. Further more, ISO suppressed peripheral and central inflammation, regulated the changes in kynurenine pathway and gut microbiota, inhibited activation of PI3K/AKT pathway, and presented good binding patterns with target proteins on PI3K/AKT signaling pathway. Collectively, these findings demonstrate that ISO alleviated depression-like behaviour by normalizing inflammation-induced dysregulation of the crosstalk between KP and gut microbiota disorder through regulated PI3K/AKT/NF-κB pathway.

Background Protein tyrosine phosphatase non-receptor type II (PTPN2) is essential for the regulation of inflammation and immunity, but the specific mechanism of action of Ptpn2 in silicosis is unknown. Objective To investigate the regulatory role of overexpression of Ptpn2 in SiO₂-mediated inflammatory response in alveolar type II epithelial cells based on transcriptome sequencing. Methods This study was an in vitro study. A negative control group (vector transferred) and an overexpression of Ptpn2 group of mouse lung epithelial cell line MLE-12 cells were firstly constructed. Transcriptome sequencing was performed to detect differentially expressed genes (DEGs), differentially expressed mRNAs, and differentially expressed ncRNAs in the two groups of MLE-12 cells, and then the DEGs were analyzed by the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Constructed MLE-12 cells and A549 cells were stimulated using SiO₂ suspension, and divided into a negative control group (vector transferred), an overexpression of Ptpn2 group, a negative control + SiO₂ group, and an overexpression of Ptpn2 + SiO₂ group, respectively. Protein expressions of tumor necrosis factor-α (TNF-α) and interleukin (IL)-17A, IL-2, IL-1β were detected by Western blot. Positive TNF-α expression was detected by immunofluorescence staining. Results The results of Western blot showed that the protein expression level of PTPN2 was up-regulated in the overexpressed Ptpn2 group compared with the negative control group (P < 0.05). The volcano plot and clustering heat map showed that there were 1122 DEGs, 3681 differentially expressed mRNAs, and 474 differentially expressed ncRNAs in the overexpressed Ptpn2 group compared with the negative control group. The results of GO enrichment showed that, in terms of the biological process, the DEGs were mainly related to the regulation of metal ion transport, extracellular matrix organization, and extracellular structural organization; in terms of cellular composition, the DEGs were mainly related to collagen-containing extracellular matrix, receptor complexes, and basement membranes; in terms of molecular function, the DEGs were mainly related to the extracellular matrix structural constituents, glycosaminoglycan binding, and semaphorin receptor binding. The results of KEGG enrichment showed that the DEGs were closely related to cytokin-cytokine receptor interaction, IL-17 signaling pathway, TNF signaling pathway, and chemokine signaling pathway. In MLE-12 and A549 cells, the results of Western blot showed that the protein expression levels of TNF-α , IL-17A, IL-2, and IL-1β were up-regulated in the negative control + SiO₂ group compared with the negative control group (P < 0.05), and the protein expression levels of TNF-α, IL-17A, IL-2, and IL-1β were down-regulated in the overexpression of Ptpn2 + SiO₂ group compared with the negative control + SiO₂ group (P < 0.05). The immunofluorescence staining showed that the expression of TNF-α was increased in the negative control + SiO₂ group compared with the negative control group, and decreased in the overexpression of Ptpn2 + SiO₂ group compared with the negative control + SiO₂ group. Conclusion Overexpression of Ptpn2 inhibits SiO₂-mediated inflammatory response in MLE-12 cells and A549 cells.

Depression is a widespread psychiatric disorder with complex pathogenesis and unsatisfactory therapeutic effects. As a native flavonoid, Isorhamnetin (ISO) has been deemed to exert neuroprotective effects by antioxidation and regulation of immunity. However, no reports of anti-depressed effect of ISO have yet been found. The present study was conducted to clarify the mechanism basis of anti-depressed effect of ISO utilizing behavioral, biochemical, molecular approaches in vitro and in vivo and bio-informatics analysis. The effects of ISO on depressed mice was investigated through the SPT and FST, and the lesions were examined by H&E staining. Besides, the inflammatory factor and indicator in kynurenine pathway were assessed through detection kits, and the microbiota were checked by 16sRNA. Molecular docking study was performed to investigate the target of ISO. Additionally, Western blot was used to test the activation of PI3K/AKT signaling pathway. The results indicated that ISO could enhance the sugar water preference of mice in SPT and reduce immobility time in FST. Further more, ISO suppressed peripheral and central inflammation, regulated the changes in kynurenine pathway and gut microbiota, inhibited activation of PI3K/AKT pathway, and presented good binding patterns with target proteins on PI3K/AKT signaling pathway. Collectively, these findings demonstrate that ISO alleviated depression-like behaviour by normalizing inflammation-induced dysregulation of the crosstalk between KP and gut microbiota disorder through regulated PI3K/AKT/NF-κB pathway.

Depression is a widespread psychiatric disorder with complex pathogenesis and unsatisfactory therapeutic effects. As a native flavonoid, Isorhamnetin (ISO) has been deemed to exert neuroprotective effects by antioxidation and regulation of immunity. However, no reports of anti-depressed effect of ISO have yet been found. The present study was conducted to clarify the mechanism basis of anti-depressed effect of ISO utilizing behavioral, biochemical, molecular approaches in vitro and in vivo and bio-informatics analysis. The effects of ISO on depressed mice was investigated through the SPT and FST, and the lesions were examined by H&E staining. Besides, the inflammatory factor and indicator in kynurenine pathway were assessed through detection kits, and the microbiota were checked by 16sRNA. Molecular docking study was performed to investigate the target of ISO. Additionally, Western blot was used to test the activation of PI3K/AKT signaling pathway. The results indicated that ISO could enhance the sugar water preference of mice in SPT and reduce immobility time in FST. Further more, ISO suppressed peripheral and central inflammation, regulated the changes in kynurenine pathway and gut microbiota, inhibited activation of PI3K/AKT pathway, and presented good binding patterns with target proteins on PI3K/AKT signaling pathway. Collectively, these findings demonstrate that ISO alleviated depression-like behaviour by normalizing inflammation-induced dysregulation of the crosstalk between KP and gut microbiota disorder through regulated PI3K/AKT/NF-κB pathway.

ObjectiveTo construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in. MethodsFrom October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes. ResultsA total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes. ConclusionThe medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.

OBJECTIVE To evaluate the comprehensive value of novel oral anticoagulant drugs （NOACs） after major orthopedic surgery. METHODS The evaluation evidence was collected through literature research； evidence and value：impact on decision-making （EVIDEM） framework was introduced to integrate the evaluation process； the multi-criteria decision analysis （MCDA） method was used to construct a multi-dimensional evaluation system； the weights assigned to each evaluation criterion were determined by the combination of Delphi method and analytic hierarchy process， and the rivaroxaban， dabigatran and apixaban were comprehensively evaluated. RESULTS The clinical comprehensive evaluation system of NOACs after major orthopedic surgery was successfully established， and the final clinical comprehensive evaluation weights of NOACs （rivaroxaban， dabigatran， apixaban） after major orthopedic surgery were calculated， with scores of 0.399 7 for rivaroxaban， 0.244 4 for apixaban， and 0.355 9 for dabigatran， indicating that rivaroxaban demonstrated the highest overall clinical value. Among them， rivaroxaban had the highest weight score in the evaluation of pharmaceutical characteristics， cost-effectiveness and other attributes in a single dimension. In terms of efficacy and safety evaluation， apixaban had the highest weighting score. CONCLUSIONS Among NOACs， rivaroxaban is more suitable for routine anticoagulation management after major orthopedic surgery， especially in terms of pharmacological properties， cost-effectiveness and other attributes.

Clinical trials have demonstrated that kilohertz-frequency transcutaneous spinal cord stimulation (TSCS) can be used to facilitate the recovery of sensory-motor function for patients with spinal cord injury, whereas the neural mechanism of TSCS is still undetermined so that the choice of stimulation parameters is largely dependent on the clinical experience. In this paper, a finite element model of transcutaneous spinal cord stimulation was used to calculate the electric field distribution of human spinal cord segments T ₁₂ to L ₂, whereas the activation thresholds of spinal fibers were determined by using a double-cable neuron model. Then the variation of activation thresholds was obtained by varying the carrier waveform, the interphase delay, the modulating frequency, and the modulating pulse width. Compared with the sinusoidal carrier, the usage of square carrier could significantly reduce the activation threshold of dorsal root (DR) fibers. Moreover, the variation of activation thresholds was no more than 1 V due to the varied modulating frequency and decreases with the increased modulating pulse width. For a square carrier at 10 kHz modulated by rectangular pulse with the frequency of 50 Hz and the pulse width of 1 ms, the lowest activation thresholds of DR fibers and dorsal column fibers were 27.6 V and 55.8 V, respectively. An interphase delay of 5 μs was able to reduce the activation thresholds of the DR fibers to 20.1 V. The simulation results can lay a theoretical foundation on the selection of TSCS parameters in clinical trials.
Humans ; Spinal Cord Stimulation/methods* ; Nerve Fibers/physiology* ; Finite Element Analysis ; Spinal Cord/physiology* ; Computer Simulation ; Spinal Cord Injuries/physiopathology* ; Lumbosacral Region ; Lumbar Vertebrae ; Transcutaneous Electric Nerve Stimulation/methods* ; Models, Neurological

Objective To explore the accuracy of the multiplication coefficient method and the moment synthesis method for determining the spatial position of the center of gravity(CoG)of the human body based on machine vision.Methods The mechanical measurement platform was built,and the three-dimensional(3D)human body CoG measurement method under static and dynamic conditions were designed to calculate the space coordinates of the CoG.Through experiments,the calculation accuracy of the multiplication coefficient and moment synthesis method were studied and analyzed.Results In the static experiments,the calculation results of the torque synthesis method were more accurate than those of the multiplication coefficient method for each dimension.The errors in the 3D CoG of the human body in the X,Y,and Z directions calculated using the torque synthesis method were 3.9%,4.1%,and 8.5%,respectively.In the dynamic experiment,the average and relative errors of the torque synthesis method in the X or Y direction were lower than those of the multiplication-coefficient method.When the action decomposition method was used to analyze the height direction of the CoG along the Z axis,the final rendering effect of the torque synthesis method improved.Conclusions The accuracy of the 3D CoG calculated by the moment synthesis method was relatively high,and was closer to the measurement data of the mechanical measurement platform.The 3D CoG calculated using the moment synthesis method can replace the mechanical measurement platform and can be used in subsequent studies.

Objective:To investigate the association of time in range with metabolic associated fatty liver disease(MAFLD) and advanced liver fibrosis in patients with type 2 diabetes.Methods:This study was a retrospective study. A total of 494 type 2 diabetic patients were recruited in the Department of Endocrinololgy of Henan Provincial People′s Hospital from November 2019 to April 2022. Time in range(TIR) was calculated with continuous glucose monitoring data. Abdominal ultrasound scan was used to diagnose fatty liver. Liver stiffness measurement(LSM) by transient elastography was used to evaluate liver fibrosis. Pearson and multivariate linear regression analysis was used to evaluate the association between TIR and LSM. Multivariate logistic regression analysis was used to analyze the association of TIR with risk of MAFLD and advanced liver fibrosis.Results:Pearson correlation analysis showed that LSM was negatively correlated with TIR( r=-0.86, P<0.001) and was positively correlated with homeostasis model assessment for insulin resistance(HOMA-IR; r=0.48, P<0.001). After adjusting for confounding factors, multivariate linear regression analysis showed that TIR significantly negatively predicted LSM( β=-0.75, P<0.001), and HOMA-IR significantly positively predicted LSM( β=0.21, P=0.025). After adjusting for confounding factors, logistic regression analysis showed that compared with TIR Q4 patients, TIR Q1 patients had an increased risk of MAFLD( OR=1.96, 95% CI 1.07-3.62, P=0.027), advanced liver fibrosis( OR=3.82, 95% CI 1.17-12.50, P=0.027), and HOMA-IR was an independent risk factor for MAFLD( OR=1.22, 95% CI 1.04-1.43, P=0.005) and advanced liver fibrosis( OR=1.26, 95% CI 1.03-1.54, P=0.025). Conclusions:TIR and insulin resistance are independent risk factors for MAFLD and advanced liver fibrosis in patients with type 2 diabetes. TIR has a significant predictive value for MAFLD and advanced liver fibrosis.

BACKGROUND:In the process of exploring the mechanism of Alzheimer's disease,the important role of bioinformatics for common target screening has been revealed,enabling the use of its screening results as a basis for exploring the therapeutic effects of drugs on the disease. OBJECTIVE:To predict the targets of liraglutide,a glucagon-like peptide-1 receptor agonist,in the treatment of Alzheimer's disease by bioinformatics and molecular biology. METHODS:DisGeNET database and SEA database were used to obtain the common genes of Alzheimer's disease and liraglutide.GO/KEGG enrichment analysis of common targets was conducted using DAVID online database.Protein-protein interaction networks were constructed using STRING database.The optimal dosage of liraglutide was determined using cell counting kit-8 assay.Expression of key proteins was analyzed using immunofluorescence and immunoblotting techniques.The mouse hippocampal neuron HT22 cell line was used for ex vivo experiments,and the cells were randomly divided into three groups:HT22 group,HT22+Aβ group,and HT22+Aβ+Lir group.No special treatment was done in the HT22 group,while Aβ1-42 was used to intervene in the HT22 cell line for 24 hours to construct an Aβ injury cell model in the HT22+Aβ group.In additional to modeling,liraglutide was added to the HT22+Aβ+Lir group for 12 hours. RESULTS AND CONCLUSION:A total of 3 333 genes associated with Alzheimer's disease were screened from DisGeNET database.Then 147 potential targets of liraglutide were obtained from SEA database.Finally,64 common targets of Alzheimer's disease and Liraglutide were determined using R packets.GO/KEGG analysis of common targets using DAVID online database suggested that common targets were mainly enriched in the following biological processes:neuroactive ligand-receptor interaction,renin-angiotensin system,bladder cancer,endopeptidase activity,peptide receptor activity,G protein-coupled peptide receptor activity,and transport vesicles.The obtained 64 common target proteins were imported into SRTING online database for protein-protein interaction network construction,and the top three genes,matrix metalloproteinases 2,9 and interleukin 1β,were obtained.The activity of cultured cells was detected by the cell counting kit-8 kit.Liraglutide at 100 nmol/L was the optimal concentration for antagonizing Aβ1-42.In the western blot and immunofluorescence assays,the expression of matrix metalloproteinases 2,9 and interleukin 1β was significantly increased in the HT22+Aβ group compared with the HT22 group(P＜0.05)but significantly decreased in the HT22+Aβ+Lir group compared with the HT22+Aβ group(P＜0.05).To conclude,the above bioinformatics data and secondary validation of differential genes in the GEO database suggest that both matrix metalloproteinases 2,9 and interleukin 1β could be potential targets of liraglutide in the treatment of Alzheimer's disease.