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.

Objective:To investigate the effect and mechanism of Grifola frondosa extract on inflammatory response of colon tissue in rats with ulcerative colitis(UC)by regulating interleukin-6(IL-6)/Janus kinase 2(JAK2)/signal transducer and activator of transcription 3(STAT3)signaling pathway.Methods:Forty SD rats were randomly divided into blank control group,UC model group,Grifola frondosa treatment group,western medicine treatment group and combined treatment group,with 8 rats in each group.After UC rats were established by free drinking 3%DSS for 7 days,the treatment group were given Grifola frondosa extract 10 mg/(kg·d),sulfasalazine 0.3 g/(kg·d),and the same amount of two drugs,for 14 consecutive days.During the experiment,general state of rats were observed,and the disease activity index(DAI)score was calculated;pathological changes of rats colon tissue were observed by HE staining;protein expression levels of IL-6,JAK2,STAT3 and p-STAT3 in rats colon tissue were detected by Western blot;content of IL-6 in rats serum was detected by ELISA;protein contents and expressions of IL-6R and MPO in rats colon tissue were determined by immunohistochemistry.Results:Compared with blank control group,general state of rats in UC model group was poor,DAI score was increased,obvious tissue mucosal defects and inflammatory cell infiltration were observed by HE staining;protein expression levels of IL-6,JAK2,STAT3 and p-STAT3 in rats colon tissue and contents of IL-6R and MPO were significantly increased(P<0.01);content of IL-6 in rats serum was significantly increased(P<0.01),the difference was statistically significant.Compared with UC model group,general condition of rats in each treatment group was improved,DAI score was decreased,HE staining showed that mucosal defects were improved to varying degrees,and occasionally inflammatory cell infiltration was observed;protein expression levels of IL-6,JAK2,STAT3 and p-STAT3 in colon tissue were significantly decreased(P<0.01),contents of IL-6R and MPO in colon tissue and content of IL-6 in serum were significantly decreased(P<0.01 or P<0.05),the differences were statistically significant.Conclusion:Grifola frondosa extract can reduce the inflammatory response in colon tissue of UC rats by regulating expressions of IL-6/JAK2/STAT3 signaling pathway related factors.

Objective:To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms.Methods:The patients with septic shock meeting the Sepsis-3 criteria were selected from Medical Information Mart for Intensive Care-Ⅳ v2.0 (MIMIC-Ⅳ v2.0). According to the principle of random allocation, 70% of these patients were used as the training set, and 30% as the validation set. Relevant predictive variables were extracted from three aspects: demographic characteristics and basic vital signs, serum indicators within 24 hours of intensive care unit (ICU) admission and complications possibly affecting indicators, functional scoring and advanced life support. The predictive efficacy of models constructed using five mainstream machine learning algorithms including decision tree classification and regression tree (CART), random forest (RF), support vector machine (SVM), linear regression (LR), and super learner [SL; combined CART, RF and extreme gradient boosting (XGBoost)] for 28-day death in patients with septic shock was compared, and the best algorithm model was selected. The optimal predictive variables were determined by intersecting the results from LASSO regression, RF, and XGBoost algorithms, and a predictive model was constructed. The predictive efficacy of the model was validated by drawing receiver operator characteristic curve (ROC curve), the accuracy of the model was assessed using calibration curves, and the practicality of the model was verified through decision curve analysis (DCA).Results:A total of 3?295 patients with septic shock were included, with 2?164 surviving and 1?131 dying within 28 days, resulting in a mortality of 34.32%. Of these, 2?307 were in the training set (with 792 deaths within 28 days, a mortality of 34.33%), and 988 in the validation set (with 339 deaths within 28 days, a mortality of 34.31%). Five machine learning models were established based on the training set data. After including variables at three aspects, the area under the ROC curve (AUC) of RF, SVM, and LR machine learning algorithm models for predicting 28-day death in septic shock patients in the validation set was 0.823 [95% confidence interval (95% CI) was 0.795-0.849], 0.823 (95% CI was 0.796-0.849), and 0.810 (95% CI was 0.782-0.838), respectively, which were higher than that of the CART algorithm model (AUC = 0.750, 95% CI was 0.717-0.782) and SL algorithm model (AUC = 0.756, 95% CI was 0.724-0.789). Thus above three algorithm models were determined to be the best algorithm models. After integrating variables from three aspects, 16 optimal predictive variables were identified through intersection by LASSO regression, RF, and XGBoost algorithms, including the highest pH value, the highest albumin (Alb), the highest body temperature, the lowest lactic acid (Lac), the highest Lac, the highest serum creatinine (SCr), the highest Ca 2+, the lowest hemoglobin (Hb), the lowest white blood cell count (WBC), age, simplified acute physiology score Ⅲ (SAPSⅢ), the highest WBC, acute physiology score Ⅲ (APSⅢ), the lowest Na +, body mass index (BMI), and the shortest activated partial thromboplastin time (APTT) within 24 hours of ICU admission. ROC curve analysis showed that the Logistic regression model constructed with above 16 optimal predictive variables was the best predictive model, with an AUC of 0.806 (95% CI was 0.778-0.835) in the validation set. The calibration curve and DCA curve showed that this model had high accuracy and the highest net benefit could reach 0.3, which was significantly outperforming traditional models based on single functional score [APSⅢ score, SAPSⅢ score, and sequential organ failure assessment (SOFA) score] with AUC (95% CI) of 0.746 (0.715-0.778), 0.765 (0.734-0.796), and 0.625 (0.589-0.661), respectively. Conclusions:The Logistic regression model, constructed using 16 optimal predictive variables including pH value, Alb, body temperature, Lac, SCr, Ca 2+, Hb, WBC, SAPSⅢ score, APSⅢ score, Na +, BMI, and APTT, is identified as the best predictive model for the 28-day death risk in patients with septic shock. Its performance is stable, with high discriminative ability and accuracy.

Objective To analyze the medication rules of national patented Chinese herbal compounds for the treatment of diabetic peripheral neuropathy(DPN)by data mining method,and to provide reference for clinical medication.Methods The patents of Chinese medicine compound for the treatment of DPN were retrieved from the website of the China National Intellectual Property Administration(CNIPA).Excel 2021 was used for frequency statistics.RAW Graphs 2.0 was used to make a Sankey diagram of the efficacy of high-frequency Chinese medicinals.SPSS Statistics 25.0 software was used for hierarchical cluster analysis of the medicines,and the core prescriptions were mined based on Cytoscape 3.9.1.Results A total of 101 patented prescription were included,involving 243 herbs.The top three Chinese medicines in the descending order of occurrence frequency were Salviae Miltiorrhizae Radix et Rhizoma,Astragali Radix,and Paeoniae Radix Alba.Most of the medicines of patented Chinese medicine compounds for the treatment of DPN were warm and mild in nature,sweet,bitter and pungent in flavor,and had the meridian tropism of liver,heart and spleen meridians.According to the therapeutic actions,the medicine can be divided into tonic drugs,blood-activating and stasis-removing drugs,exterior-releasing drugs,liver-calming and wind-extinguishing drugs,heat-clearing drugs,bleeding-arresting drugs,mind-calming drugs,and urination-promoting and dampness-percolating drugs.The association rule analysis revealed the drug combination of Astragali Radix and Angelicae Sinensis Radix with the highest support.After hierarchical cluster analysis,the top 31 Chinese medicinals were classified into 7 groups.The core prescription which was composed of 7 medicines,namely Astragali Radix,Chuanxiong Rhizoma,Spatholobi Caulis,Salviae Miltiorrhizae Radix et Rhizoma,Achyranthis Bidentatae Radix,Cinnamomi Ramulus and Angelicae Sinensis Radix was finally mined out.Conclusion The treatment of DPN with patented Chinese herbal compounds is based on the therapies of supplementing deficiency,activating blood and removing stasis,and warming and unblocking meridians and collaterals.Meanwhile,consolidating the acquired foundation by strengthening spleen and soothing liver is also stressed.Clinically,the herbal pairs of Astragali Radix-Angelicae Sinensis Radix,Paeoniae Radix Alba-Salviae Miltiorrhizae Radix et Rhizoma are the optional drugs,and the core prescription composed of Astragali Radix,Chuanxiong Rhizoma,Spatholobi Caulis,Salviae Miltiorrhizae Radix et Rhizoma,Achyranthis Bidentatae Radix,Cinnamomi Ramulus and Angelicae Sinensis Radix can be used for the whole course of DPN.

Aim To explore the mechanism and mate-rial basis of Shenkang injection(SKI)in the treatment of renal fibrosis(RF)by bioinformatics and in vitro experiments.Methods The differentially expressed genes of RF were screened by GEO database.With the help of CMAP database,based on the similarity princi-ple of gene expression profile,the drugs that regulated RF were repositioned,and then the components of SKI potential treatment RF were screened by molecular fin-gerprint similarity analysis.At the same time,the core targets and pathways of SKI regulating RF were predic-ted based on network pharmacology.Finally,it was verified by molecular docking and cell experiments.Results Based on the GEO database,two RF-related data sets were screened,and CMAP was relocated to three common RF therapeutic drugs(saracatinib,da-satinib,pp-2).Molecular fingerprint similarity analysis showed that RF therapeutic drugs had high structural similarity with five SKI components such as salvianolic acid B and hydroxysafflor yellow A.Molecular docking results showed that salvianolic acid B,hydroxysafflor yellow A and other components had good binding abili-ty with MMP1 and MMP13,which were the core targets of SKI-regulated potential treatment of RF.Network pharmacology analysis suggested that the core targets of SKI were mainly enriched in signaling pathways such as Relaxin and AGE-RAGE.Cell experiments showed that SKI could significantly reduce the mRNA expres-sion levels of AGER,NFKB1,COL1A1,SERPINE1,VEGFC in AGE-RAGE signaling pathway and MMP1 and MMP13 in Relaxin signaling pathway in RF model cells,and significantly increase the mRNA expression level of RXFP1.Conclusions SKI can play a role in the treatment of RF by regulating Relaxin and AGE-RAGE signaling pathways,and its material basis may be salvianolic acid B,hydroxysafflor yellow A and other components.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

This study was aimed at creating an engineered strain of Bacillus subtilis for efficient expression of biologically active type 2 toxin B(TcdB2)derived from a highly virulent strain of Clostridium difficile.The TcdB2 gene was cloned from ST1/RT027 strain genome DNA,incorporated into the PHT01 vector,and then transformed into B.subtilis strain WB800N for prokaryotic expression.Cell toxicity assays revealed that the recombinant TcdB2 exhibited cytotoxic effects in various cells.The engineered B.subtilis strain effectively expressed biologically active TcdB2,thus providing a basis for further exploration of the pathogenic mechanisms of highly virulent strains of C.difficile and establishing a foundation for potential vaccine can-didate targets.

Objective To investigate the efficacy and clinical results of total internal protection technique in anterior cru-ciate ligament reconstruction.Methods A total of 56 patients undergoing anterior cruciate ligament reconstruction treated from January 2018 to December 2019 were selected.According to the different surgical methods,they were divided into total inter-nal reconstruction group and standard bone tunnel group.There were 21 patients in the total internal reconstruction group,in-cluding 15 males and 6 females,aged from 20 to 48 with an average of(35.6±6.7)years old,and 35 patients in the standard tibial tunnel group,including 26 males and 9 females,aged 22 to 51 years old with an average of(33.7±9.6)years old.Preop-erative examination of Lachman test was positive,magnetic resonance indicated anterior cruciate ligament rupture.There were no significant differences between the two groups in age,sex,body mass index,time from injury to ACL reconstruction,com-bined meniscus injury and operation method,operation time,ligament diameter,ligament length and other general information.Postoperative evaluation included operation duration,length and diameter of transplanted tendon after braid.International Knee Documentation Committee(IKDC)score,Lysholm score,Tegner score and perioperative complications 2 years after surgery.Results Both groups were followed up,ranging from 24 to 30 months with an average of(26.9±3.4)months.Postoperative inci-sion healing was good,and no failure or joint infection occurred at the last follow-up.There was no statistically significant dif-ference between the two groups in IKDC score,Lysholm score and Tegner score before,1 year and 2 years after surgery.How-ever,IKDC score,Lysholm score and Tegner score at 1 year and 2 years after surgery.Conclusion The same postoperative function and stability of knee joint can be obtained by both the residual whole technique and the standardized reconstruction technique.In the residual whole group,only the semitendinosus muscle is taken,and the femoral thin muscle is retained,with greater tibial bone mass preserved,which is safe and effective in clinical practice.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.

The resin ethanol extract of Gegen Qinlian Decoction(GGQLD) has been found to significantly alleviate the intestinal toxicity caused by Irinotecan, but further research is needed to establish its overall quality and clinical medication standards. This study aimed to establish an HPLC characteristic fingerprint of the resin ethanol extract of GGQLD, predicted the targets and signaling pathways of its pharmacological effects based on network pharmacology, identified core compounds with pharmacological relevance, and analyzed potential quality markers(Q-markers) of the resin eluate of GGQLD for relieving Irinotecan-induced toxicity. By considering the uniqueness, measurability, and traceability of Q-markers based on the "five principles" of Q-markers and combining them with network pharmacology techniques, the overall efficacy of the resin ethanol extract of GGQLD can be characterized. Preliminary predictions suggested that the four components of puerarin, berberine, baicalin, and baicalein might serve as potential Q-markers for the resin etha-nol extract of GGQLD. This study provides a basis and references for the quality control and clinical mechanism of the resin ethanol extract of GGQLD.
Irinotecan ; Network Pharmacology ; Drugs, Chinese Herbal/therapeutic use*