With the widespread use of antibiotics, drug-resistant bacterial infections have become a significant threat to human health. Finding new antibacterial strategies that can effectively control drug-resistant bacterial infections has become an urgent task. Unlike small molecule drugs that target bacterial proteins, antisense oligonucleotide (ASO) can target genes related to bacterial resistance, pathogenesis, growth, reproduction and biofilm formation. By regulating the expression of these genes, ASO can inhibit or kill bacteria, providing a novel approach for the development of antibacterial drugs. To overcome the challenge of delivering antisense oligonucleotide into bacterial cells, various drug delivery systems have been applied in this field, including cell-penetrating peptides, lipid nanoparticles and inorganic nanoparticles, which have injected new momentum into the development of antisense oligonucleotide in the antibacterial realm. This review summarizes the current development of small nucleic acid drugs, the antibacterial mechanisms, targets, sequences and delivery vectors of antisense oligonucleotide, providing a reference for the research and development of antisense oligonucleotide in the treatment of bacterial infections.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objectives: To elucidate the potential mechanisms of electroacupuncture (EA) in restoring detrusor-bladder neck dyssynergia (DBND) following suprasacral spinal cord injury (SSCI). Methods: A total of 52 specific pathogen-free (SPF) grade famale Sprague-Dawley (SD) rats (10 – 12 weeks, 250 – 280 g) were randomly assigned to either a sham group (n = 12) or a spinal cord injury model group (n = 40). In the model group, DBND was induced through Hassan Shaker spinal cord transection at T10 level, with 24 rats meeting inclusion criteria and subsequently randomized into DBND group (n = 12) and EA intervention group (DBND + EA group, n = 12). After spinal shock recovery (day 19 after modeling), DBND + EA group received EA treatment at Ciliao (BL32), Zhongji (RN3), and Sanyinjiao (SP6) acupoints for 20 min per session at 10/50 Hz frequencies, once daily for 10 d. Sham and DBND groups received anesthesia only without EA intervention. On day 29 post-modeling, all rats underwent urodynamic assessments, followed by hematoxylin and eosin (HE) staining, tandem mass tag (TMT) proteomics, and Western blot (WB) analysis of detrusor and bladder neck tissues. Differentially expressed proteins (DEPs) were defined as proteins with P < 0.05, unique peptides ≥ 2, and fold change > 1.2 or < 0.83. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed using KOBAS 3.0 (P < 0.01), and protein-protein interaction (PPI) networks were analyzed using Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) 11.5 and Cytoscape 3.9.1. Results: Compared with sham group, DBND group showed significantly elevated leak point pressure (LPP) and maximum cystometric capacity (MCC) (both P < 0.01). EA treatment significantly reduced both LPP and MCC compared with DBND group (P < 0.01 and P < 0.05, respectively). HE staining revealed that EA reduced detrusor fibrosis and improved bladder neck inflammation. TMT proteomics identified 30 overlapping DEPs in detrusor and 59 overlapping DEPs in bladder neck when comparing DBND + EA/DBND groups with sham group. In detrusor tissue, KEGG analysis revealed 10 significantly enriched pathways (P < 0.01), including mitogen-activated protein kinase (MAPK) signaling pathway. PPI analysis showed 22 of 30 DEPs were interconnected. In bladder neck tissue, 14 pathways were significantly enriched (P < 0.01), including relaxin signaling pathway, with 51 of 59 DEPs showing interconnections. Both TMT and WB validations demonstrated that compared with sham controls, DBND rats exhibited upregulated collagen type IV alpha 2 chain (Col4a2) and downregulated guanine nucleotide-binding protein G(z) subunit alpha (Gnaz) in detrusor tissue, while EA treatment normalized both proteins (both P < 0.05). In bladder neck tissue, DBND rats showed decreased expression of smoothelin (Smtn) and calcium-activated potassium channel subunit beta-1 (Kcnmb1) compared with sham controls (both P < 0.01), which were both upregulated following EA treatment (P < 0.01 and P < 0.05, respectively). Conclusion EA restores detrusor-bladder neck coordination in DBND through dual-target mechanisms. In detrusor tissue, EA modulates contraction via extracellular matrix remodeling, cyclic adenosine monophosphate (cAMP) signaling pathway regulation, and enhanced adenosine triphosphate (ATP) biosynthesis mediated by neurotransmitters. In bladder neck tissue, EA promotes relaxation by maintaining contractile phenotypes, reducing fibrosis, suppressing smooth muscle excitation, and regulating presynaptic neurotransmitter release. These findings provide mechanistic insights into EA's therapeutic role in managing DBND.

Based on the strategy of metabolomics combined with bioinformatics, this study analyzed the potential allergens and mechanism of pseudo-allergic reactions (PARs) induced by the combined use of Reduning injection and penicillin G injection. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). Based on UPLC-Q-TOF/MS technology combined with UNIFI software, a total of 21 compounds were identified in Reduning and penicillin G mixed injection. Based on molecular docking technology, 10 potential allergens with strong binding activity to MrgprX2 agonist sites were further screened. Metabolomics analysis using UPLC-Q-TOF/MS technology revealed that 34 differential metabolites such as arachidonic acid, phosphatidylcholine, phosphatidylserine, prostaglandins, and leukotrienes were endogenous differential metabolites of PARs caused by combined use of Reduning injection and penicillin G injection. Through the analysis of the "potential allergen-target-endogenous differential metabolite" interaction network, the chlorogenic acids (such as chlorogenic acid, neochlorogenic acid, cryptochlorogenic acid, and isochlorogenic acid A) and β-lactam allergens in the combination of the two may be mainly regulated by PLD1, PLA2G12A and CYP1A1. The three upstream signal target proteins mainly activate the arachidonic acid metabolic pathway, promote the degranulation of mast cells, release downstream endogenous inflammatory mediators, and induce PARs.

Objective To explore the prognostic factor and its predictive value of patients with Wilson disease-related acute-on-chronic liver failure(WD-ACLF).Methods The clinical data of 70 patients diagnosed as WD-ACLF admitted to the Department of Encephalopathy of the First Affiliated Hospital of Anhui University of Chinese Medicine from January 1,2017 to January 1,2022 were retrospectively collected.According to the 12-week prognosis,patients were divided into survival group(n=36)and death group(n=34).The data of the two groups were analyzed by univariate and multivariate logistic analysis to screen the prognostic risk factors and evaluate their predictive value.The model coefficient is omnibus tested,and the model-fitting degree is evaluated by the Hosmer-Lemeshow test.ROC curve was used to analyze the prognostic value for WD-ACLF between the new model and chronic liver failure-sequential organ failure assessment(CLIF-SOFA)score,model for end-stage liver disease(MELD)score and Child-Turcotte-Pugh(CTP)score.Results A total of 70 WD-ACLF patients were enrolled in present study,including 36 cases in survival group[22 males and 14 females with median age of 30.0(17.3,40.0)]and 34 cases in death group[25 males and 9 females with median age of 34.0(28.8,41.0)].Univariate analysis showed that the course of disease,prothrombin time(PT),activated partial thromboplastin time(APTT)were shorter in survival group than that in death group,the white blood cells(WBC),international normalized ratio(INR),aspartate transaminase(AST),total bilirubin(TBIL),blood urea nitrogen(BUN),creatinine(Cre)and ceruloplasmin(CER)levels and the proportion of infection,ascites,and upper gastrointestinal bleeding were lower in survival group than those in death group,however,the proportion of infection,ascites and upper digestive bleeding in the survival group were lower than those in the death group.Meanwhile,the red blood cells(RBC),hemoglobin(Hb),Na+ and total cholesterol(TC)level in the survival group were higher than those in the death group(P<0.05 or P<0.01).The results of multivariate logistic regression analysis showed that disease course(OR=1.176,95%CI 1.043-1.325),INR(OR=7.635,95%CI 1.767-32.980),TBIL(OR=1.012,95%CI 1.003-1.021),and upper gastrointestinal bleeding(OR=11.654,95%CI 1.029-131.980)were independent risk factors affecting the prognosis of WD-ACLF(P<0.05).Based on the results of logistic regression analysis,a joint model for predicting the prognosis of WD-ACLF was established.The AUC of the model for evaluating the prognosis of WD-ACLF was 0.941,which was greater than the CLIF-SOFA score(AUC=0.802),MELD score(AUC=0.897),and CTP score(AUC=0.722).Conclusions The course of disease,TBIL,INR,and upper gastrointestinal bleeding are risk factors that affect the prognosis of WD-ACLF.The prognosis model established based on this can more accurately predict the prognosis of WD-ACLF patients,and its predictive value is superior to CLIF-SOFA score,MELD score,and CTP score.

In the treatment of persistent atrial fibrillation with radiofrequency ablation,it is often necessary to add the ablation of external trigger foci of pulmonary vein on the basis of annular pulmonary vein isolation,including linear ablation,BOX ablation and fragmentation potential ablation.The isthmus of mitral valve is the most important component of linear ablation,but it is difficult to reach the isthmus of mitral valve for complete blockade by conventional radiofrequency ablation.The guide catheter was transported through the inferior vena cava to the coronary sinus,and the injection of Marshall vein anhydrous ethanol for ablation could achieve epicardial and myocardial block in the mitral isthmus,and the ablation combined with the endocardial patch ablation in the mitral isthmus could significantly improve the ablation effect,but there were disadvantages such as Marshall vein and coronary vein injury,high surgical cost and long time.This paper reports a case of persistent atrial fibrillation treated by self-made perforated balloon with Marshall intravenous anhydrous ethanol combined with individualized ablation strategy.No major adverse cardiovascular events or recurrence of atrial fibrillation occurred during 6 months of follow-up after discharge.

Exploring the risk "time interval window" of sequential medication of Reduning injection (RDN) and penicillin G injection (PG) by detecting the correlation between serum biochemical indexes and plasma metabonomic characteristics, in order to reduce the risk of adverse reactions caused by the combination of RDN and PG. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). The changes of biochemical indexes in serum of rats were detected by enzyme-linked immunosorbent assay. It was determined that RDN combined with PG could cause pseudo-allergic reactions (PARs) activated by complement pathway. Further investigation was carried out at different time intervals (1.5, 2, 3.5, 4, 6, and 8 h PG+RDN). It was found that sequential administration within 3.5 h could cause significant PARs. However, PARs were significantly reduced after administration interval of more than 4 h. LC-MS was used for plasma metabolomics analysis, and the levels of serum biochemical indicators and plasma metabolic profile characteristics were compared in parallel. 22 differential metabolites showed similar or opposite trends to biochemical indicators before and after 3.5 h. And enriched to 10 PARs-related pathways such as arachidonic acid metabolism, steroid hormone biosynthesis, linoleic acid metabolism, glycerophospholipid metabolism, and tryptophan metabolism. In conclusion, there is a risk "time interval window" phenomenon in the adverse drug reactions caused by the sequential use of RDN and PG, and the interval medication after the "time interval window" can significantly reduce the risk of adverse reactions.

Objective To observe the clinical efficacy of Sanjiao Tiaoqi Acupuncture in the treatment of post-stroke respiratory dysfunction.Methods Seventy-two patients with post-stroke respiratory dysfunction were randomly divided into observation group and control group,36 cases in each group.The control group was given routine treatment,and the observation group was treated with Sanjiao Tiaoqi Acupuncture on the basis of the control group,both groups were treated for 14 consecutive days.After 2 weeks of treatment,the clinical efficacy of the two groups was evaluated,and the changes of white blood cell count(WBC),C-reactive protein(CRP)and clinical pulmonary infection score(CPIS)were observed before and after treatment.The changes of diaphragmatic activity were compared before and after treatment between the two groups.Results(1)After treatment,the WBC and CRP levels of patients in the two groups were significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving the WBC and CRP levels,with statistically significant differences(P＜0.05).(2)After treatment,the CPIS scores of patients in the two groups were significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving CPIS scores,with a statistically significant difference(P＜0.05).(3)After treatment,the diaphragm mobility of patients in the two groups was significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving diaphragm mobility,and the difference was statistically significant(P＜0.05).(4)The total effective rate was 91.67％(33/36)in the observation group and 75.00％(27/36)in the control group.The efficacy of the observation group was superior to that of the control group,and the difference was statistically significant(P＜0.05).Conclusion Sanjiao Tiaoqi Acupuncture for post-stroke respiratory dysfunction can significantly promote the absorption of inflammatory factors in patients and improve diaphragm mobility,with remarkable clinical efficacy.