Objective:To investigate the intervention effect and mechanism of regulating miR-155 on young rats with dysfunction of blood coagulation.Methods:Twenty-six healthy and clean SD male rats were selected to establish the coagulopathy models.Twenty-four rats successfully established models and were randomly divided into three groups:model group,up-regulated miR-155 group and down-regulated miR-155 group,with 8 rats in each group.The expression of miR-155 was detected by real-time fluorescence quantitative polymerase chain reaction.The changes of coagulation factors and coagulation indicators were observed.Liver pathological tissues were observed by HE staining.The expressions of HMGB1-RAGE/TLRs-NF-κB signaling pathway related proteins were detected by Western blot.Results:Compared with model group,the expressions of HMGB1,RAGE,TLR2,TLR4 and NF-κB were significantly increased in up-regulated miR-155 group(all P＜0.05),while decreased in down-regulated miR-155 group(all P＜0.05).Compared with model group,the expressions of coagulation factor Ⅱ,Ⅶ,Ⅸ,and X were significantly decreased in up-regulated miR-155 group(all P＜0.05),while increased in down-regulated miR-155 group(P＜0.05).There was no significant difference in the expression of coagulation factor Ⅺ among the three groups(P＞0.05).Compared with model group,the levels of prothrombin time(PT)and activated partial thromboplastin time(APTT)were lower and fibrinogen(FIB)was higher in up-regulated miR-155 group(all P＜0.05),while in the down-regulated miR-155 group they were opposite.Conclusion:Down-regulation of miR-155 can effectively improve coagulation factors and coagulation indexes and inhibit inflammation in young rats with dysfunction of blood coagulopathy,and the mechanism may be related to HMGB1-RAGE/TLRs-NF-κ B signaling pathway.

Spinal intradural (subdural and subarachnoid) hematoma following percutaneous kyphoplasty is an extremely rare complication. In this report, we described a case of 2 episodes of subarachnoid hemorrhage with delayed paralysis after kyphoplasty. A 73-year-old man underwent percutaneous kyphoplasty in our hospital an osteoporotic vertebral fracture at the T12 level. On the 55 h after kyphoplasty for T12 osteoporotic vertebral fracture, he developed paralysis of the lower limbs. An emergency posterior decompression from T8 to L2 was performed. And the subarachnoid hematomas were removed. Postoperatively, the neurological symptoms improved rapidly. However, 2 weeks after the operation, the patient experienced a setback with severe neurological decline (paraplegia with sensory and autonomic dysfunction). An emergency posterior decompression from T5 to L2 was performed. The subarachnoid hematomas were removed. This case reflects the cause and progression of spinal subdural hematoma. Previous literature has debated the best treatment approach for spinal subarachnoid hemorrhage, but the prognosis of patients is heavily dependent on precise symptom evaluation and localization.

Objective To explore the distribution and localization of dopamine receptor D3-D5 in the small intestine of different species.Methods The distribution and expression of D3-D5 in the small intestine of mice,rats and rhesus monkeys were detected by immunohistochemistry and Western blotting.The expression of D3-D5 in immunoglobulin A positive plasma cells(IgA+PC)located in the lamina propria(LP)were detected by immunofluorescence double labeling.Results D3 and D5 were widely distributed in the epithelium,LP,submucosal plexus(SMP)and intermuscular plexus(MP)of the small intestine in mice,rats and rhesus monkeys.The distribution of D4 in the small intestinal of mice and rhesus monkeys were consistent with the result of D3 and D5.D4 was distributed only within the epithelium and LP of rat small intestine.D3 and D5 were expressed in the IgA+PC in the LP of mice and rats,whereas D4 was not.Conclusion The distribution and localization pattern of D3 and D5 are similar in the small intestine of mice,rats and rhesus monkeys,whereas those of D4 vary between different species.Dopamine may be involved in regulating the functions of IgA+PC.

Objective: To establish a predictive model for survival benefit of patients with intrahepatic cholangiocarcinoma (ICC) who received adjuvant chemotherapy after radical resection. Methods: The clinical and pathological data of 249 patients with ICC who underwent radical resection and adjuvant chemotherapy at 8 hospitals in China from January 2010 to December 2018 were retrospectively collected. There were 121 males and 128 females,with 88 cases>60 years old and 161 cases≤60 years old. Feature selection was performed by univariate and multivariate Cox regression analysis. Overall survival time and survival status were used as outcome indicators,then target clinical features were selected. Patients were stratified into high-risk group and low-risk group,survival differences between the two groups were analyzed. Using the selected clinical features, the traditional CoxPH model and deep learning DeepSurv survival prediction model were constructed, and the performance of the models were evaluated according to concordance index(C-index). Results: Portal vein invasion, carcinoembryonic antigen>5 μg/L,abnormal lymphocyte count, low grade tumor pathological differentiation and positive lymph nodes>0 were independent adverse prognostic factors for overall survival in 249 patients with adjuvant chemotherapy after radical resection (all P<0.05). The survival benefit of adjuvant chemotherapy in the high-risk group was significantly lower than that in the low-risk group (P<0.05). Using the above five features, the traditional CoxPH model and the deep learning DeepSurv survival prediction model were constructed. The C-index values of the training set were 0.687 and 0.770, and the C-index values of the test set were 0.606 and 0.763,respectively. Conclusion: Compared with the traditional Cox model, the DeepSurv model can more accurately predict the survival probability of patients with ICC undergoing adjuvant chemotherapy at a certain time point, and more accurately judge the survival benefit of adjuvant chemotherapy.

Objectives: To construct a nomogram for prediction of intrahepatic cholangiocarcinoma (ICC) lymph node metastasis based on inflammation-related markers,and to conduct its clinical verification. Methods: Clinical and pathological data of 858 ICC patients who underwent radical resection were retrospectively collected at 10 domestic tertiary hospitals in China from January 2010 to December 2018. Among the 508 patients who underwent lymph node dissection,207 cases had complete variable clinical data for constructing the nomogram,including 84 males,123 females,109 patients≥60 years old,98 patients<60 years old and 69 patients were pathologically diagnosed with positive lymph nodes after surgery. Receiver operating characteristic curve was drawn to calculate the accuracy of preoperative imaging examinations to determine lymph node status,and the difference in overall survival time was compared by Log-rank test. Partial regression squares and statistically significant preoperative variables were screened by backward stepwise regression analysis. R software was applied to construct a nomogram,clinical decision curve and clinical influence curve,and Bootstrap method was used for internal verification. Moreover,retrospectively collecting clinical information of 107 ICC patients with intraoperative lymph node dissection admitted to 9 tertiary hospitals in China from January 2019 to June 2021 was for external verification to verify the accuracy of the nomogram. 80 patients with complete clinical data but without lymph node dissection were divided into lymph node metastasis high-risk group and low-risk group according to the score of the nomogram among the 858 patients. Log-rank test was used to compare the overall survival of patients with or without lymph node metastasis diagnosed by pathology. Results: The area under the curve of preoperative imaging examinations for lymph node status assessment of 440 patients was 0.615,with a false negative rate of 62.8% (113/180) and a false positive rate of 14.2% (37/260). The median survival time of 207 patients used to construct a nomogram with positive or negative postoperative pathological lymph node metastases was 18.5 months and 27.1 months,respectively (P<0.05). Five variables related to lymph node metastasis were screened out by backward stepwise regression analysis,which were combined calculi,neutrophil/lymphocyte ratio,albumin,liver capsule invasion and systemic immune inflammation index,according to which a nomogram was constructed with concordance index(C-index) of 0.737 (95%CI: 0.667 to 0.806). The C-index of external verification was 0.674 (95%CI:0.569 to 0.779). The calibration prediction curve was in good agreement with the reference curve. The results of the clinical decision curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.32,the maximum net benefit could be obtained by 0.11,and the cost/benefit ratio was 1∶2. The results of clinical influence curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.6,the probability of correctly predicting lymph node metastasis could reach more than 90%. There was no significant difference in overall survival time between patients with high/low risk of lymph node metastasis assessed by the nomogram and those with pathologically confirmed lymph node metastasis or without lymph node metastasis (Log-rank test:P=0.082 and 0.510,respectively). Conclusion: The prediction accuracy of preoperative nomogram for ICC lymph node metastasis based on inflammation-related markers is satisfactory,which can be used as a supplementary method for preoperative diagnosis of lymph node metastasis and is helpful for clinicians to make personalized decision of lymph node dissection for patients with ICC.

Humans ; Amino Acid Metabolism, Inborn Errors/genetics* ; Mutation, Missense ; Proline Oxidase/genetics*

Aim To apply network pharmacology, molecular docking, and in vitro experimental techniques to predict as well as verify the antidepressant pharmacological mechanisms of Mengyao Anshen Buxin Liuwei pills. Methods TCMSP database and literature mining were used to obtain the active ingredients of Anshen Buxin six flavor pills , Swiss Target Prediction was applied to predict the ingredient related target information, and Cytoscape was employed to construct a medicinal herb ingredient target network. Depression targets were retrieved through GeneCards , Drugbank , OMIM and other databases. STRING database was used to obtain protein interaction relationship network information. DAVID database was used for GO biological process enrichment analysis and KEGG signaling pathway enrichment analysis. Autodock vina software was applied for molecular docking validation. In vitro injury model was established in BV2 microglial cells, cell viability was assessed by CCK-8 assay, and the mRNA expression of relevant core targets was assessed by qPCR. Results A total of 34 active components of Anshen Buxin Liuwei pills were screened, involving 140 potential targets and 59 core targets, involving 99 signaling pathways. Molecular docking results showed that betulinic acid, stigmasterol p-stiosterol 10 active components such as sitosterol and quercetin had good binding ability with AKT1, APP, ALB, MAPK3, VE GFA and MAPK 1 targets. The re suits in vitro showed that the activity of BV2 cells increased significantly compared with the model group. Anshen Buxin Liuwei pills could regulate the mRNA expression of each core target. Conclusion Anshen Buxin Liuwei pills may play an antidepressant role mainly through serotonin synaptic and other signaling pathways and related core targets.

Aim To explore the material basis of anti-tumor effect of Compound Muji Granules. Methods The anti-tumor pharmacodynamics of Compound Muji Granules in vitro was studied by microfluidic chip technology. The fingerprint of Compound Muji Granules was established by HPLC. The "Spectrum-Material-Effect" of Compound Muji Granules was analyzed by grey correlation analysis,partial least squares regression analysis and network pharmacology approach. Results Seven batches of Compound Muji Granules with different extraction methods were successfully established. The results of grey correlation analysis showed that there was a positive correlation between Compound Muji Granules and 7 of the 14 components with pharmacodynamic correlation coefficient >0.80. The contribution of anti liver tumor was peak number 48(luteolin)>6(gallic acid)>19(chlorogenic acid)>59(quercetin)>67(kaempferol)>65(naringin)>38(ellagic acid),in that order. Conclusions Through the establishment of "Spectrum-Material-Effect" research method,it is clear that the above seven active monomers may be the anti-tumor material basis of Compound Muji Granules.

COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.

Humans ; Gemcitabine ; Neoplasms