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 discuss the clinical application value of echocardiography in evaluating the early outcomes of transcatheter aortic valve replacement(TAVR)via the transapical approach,and to clarify the role of echocardiography in assessing the efficacy of the surgery.Methods:The clinical data of 85 patients who received J-Valve prosthetic valves via the transapical TAVR were retrospectively analyzed.The patients were divided into AS group(simple aortic stenosis,n=20),AR group(simple aortic regurgitation,n=37),and AS&AR group(aortic stenosis with regurgitation,n=28).Echocardiographic examination was performed on all the patients before operation,1 week after operation,3 months after operation,and 6 months after operation.The parameters including left ventricular end-diastolic volume(LVEDV),left ventricular end-systolic volume(LVESV),left ventricular ejection fraction(LVEF),left ventricular fractional shortening(LVFS),interventricular septal thickness(IVST),left ventricular posterior wall thickness(LVPWT),aortic valve peak flow velocity(AV Vmax),aortic valve mean transvalvular pressure gradient(AV PGmean),and paravalvular leak(PVL)width were measured to evaluate the cardiac function and the function of the prosthetic valve;the occurrence of postoperative complications of the patients in various groups was also analyzed.Results:J-Valve prosthetic valves were successfully implanted in all 85 patients.There were no significant differences in age,gender,New York Heart Association(NYHA)heart function classification,history of hypertension,history of diabetes,history of hyperlipidemia,and history of coronary artery disease among various groups befor operation(P＞0.05),ensuring comparability.Compared with before operation,1 week after operation,the AV Vmax and AV PGmean of the patients in AS group and AS&AR group were decreased(P＜0.05);there were no significant differences in various parameters of the patients in AR group(P＞0.05).Compared with before operation,3 months after operation,the LVEF and LVFS of the patients in AS group were increased(P＜0.05),while the AV Vmax and AV PGmean were decreased(P＜0.05);the LVEDV and LVESV of the patients in AR group were decreased(P＜0.05),while the LVEF and LVFS were increased(P＜0.05);the LVEDV,LVESV,AV Vmax,and AV PGmean of the patients in AS&AR group were decreased(P＜0.05),while the LVEF and LVFS were increased(P＜0.05).Compared with before operation,LVEDV,LVESV,IVST,and LVPWT of the patients in all three groups 6 months after operation were decreased(P＜0.05),while LVEF and LVFS were increased(P＜0.05);the AV Vmax and AV PGmean of the patients in AS group and AS&AR group were decreased(P＜0.05);the AV PGmean of the patients in AR group was decreased(P＜0.05).The postoperative complications included 3 cases of permanent pacemaker implantation(2 cases in AS group,1 case in AR group),1 case of stroke(in AS group),and 13 cases of PVL(4 cases in AS group,5 cases in AR group,4 cases in AS&AR group).No deaths occurred during follow-up.Conclusion:Echocardiography can accurately and quantitatively evaluate early changes in cardiac function and the functional state of prosthetic valves after transapical TAVR,providing objective evidence for evaluating surgical outcomes and postoperative complications.

Liposomes serve as critical carriers for drugs and vaccines,with their biological effects influenced by their size.The microfluidic method,renowned for its precise control,reproducibility,and scalability,has been widely employed for liposome preparation.Although some studies have explored factors affecting liposomal size in microfluidic processes,most focus on small-sized liposomes,predominantly through experimental data analysis.However,the production of larger liposomes,which are equally significant,remains underexplored.In this work,we thoroughly investigate multiple variables influencing liposome size during microfluidic preparation and develop a machine learning(ML)model capable of accurately predicting liposomal size.Experimental validation was conducted using a staggered herringbone micromixer(SHM)chip.Our findings reveal that most investigated variables significantly influence liposomal size,often interrelating in complex ways.We evaluated the predictive performance of several widely-used ML algorithms,including ensemble methods,through cross-validation(CV)for both lipo-some size and polydispersity index(PDI).A standalone dataset was experimentally validated to assess the accuracy of the ML predictions,with results indicating that ensemble algorithms provided the most reliable predictions.Specifically,gradient boosting was selected for size prediction,while random forest was employed for PDI prediction.We successfully produced uniform large(600 nm)and small(100 nm)liposomes using the optimised experimental conditions derived from the ML models.In conclusion,this study presents a robust methodology that enables precise control over liposome size distribution,of-fering valuable insights for medicinal research applications.

Isoflavones which mainly distributed in leguminous plants have plenty of health benefits.Isoflavone synthase(IFS)is a membrane-associated cytochrome P450 enzyme(CYP450)which carries out the unique aryl-ring migration and hydroxylation.So far,few crystal structures of plant P450s have been obtained.We determined the crystal structure of IFS from Medicago truncatula at 1.9 ? by MAD method using a selenomethionine substituted crystal and conducted molecular docking and mutagenesis study.The structure of IFS complexed with imidazole exhibits the helix Ⅰa-loop-helix Ⅰβ motif which cor-responds to helix Ⅰ of other P450s.Compared with structures of common P450s,IFS/imidazole structure contains an extra domain,i.e.,the γ-domain.The structure reveals a homodimer in which the γ-domain of one molecule interacts with the β-domain of another.The plane of heme group makes an angle of ap-proximately 40° with the helix Ⅰa-loop-helix Ⅰβ motif.Molecular docking combined with mutagenesis study suggested that Trp-128 and Asp-300 might play important roles in substrate binding and recogni-tion.Phe-301,Ser-303 and Gly-305 from the helix Ⅰa-loop-helix Ⅰβ motif may play important roles in the aryl-ring migration.These novel structural features reveal insights into the unique reaction mechanism of IFS and provide a basis for engineering IFS in leguminous crops for health purpose.

Objective:Analyze the imaging and clinical data of cases undergoing thoracoscopic subsegmental resection for non-small cell lung cancer(NSCLC) with a diameter≤2 cm, and explore the clinical outcomes of subsegmental resection.Methods:A retrospective analysis was conducted on the clinical data of 58 patients who underwent thoracoscopic subsegmentectomy in China-Japan Friendship Hospital from January 2020 to July 2024. Three-dimensional reconstruction technology was used for surgical planning before the operation, and thoracoscopic subsegmentectomy was performed, including single lung subsegmentectomy(Group 1), multiple lung subsegmentectomy(Group 2), and combined segmentectomy and subsegmentectomy(Group 3).Results:All patients successfully completed the surgery, with 23 cases of single lung subsegmentectomy, 6 cases of multiple lung subsegmentectomy, and 29 cases of combined segmentectomy and subsegmentectomy. The median intraoperative blood loss was 30.0(20.0, 30.0)ml, the average operation time was(2.03±0.68) h, the average pathological size of the nodules was(10.53±4.45) mm, and the average postoperative tube retention was(2.55±0.92) days. There were 6 cases of postoperative complications, including pulmonary air leakage in 2 cases, cerebral embolism in 1 case, pulmonary embolism in 1 case, pulmonary infection in 1 case, and atrial fibrillation in 1 case. All patients had negative surgical margins in the postoperative pathology. Group 1 had less average intraoperative blood loss than Group 2, with statistically significant differences( P=0.027). Surgical procedures for the upper lobe of the lung mainly involve the resection of combined segments and subsegments, while those for the lower lobe primarily consist of single segmentectomy. Conclusion:Subsegmentectomy is an effective surgical approach when the nodule is small and a clear margin can be ensured, allowing for better preservation of remaining lung tissue. Bleeding during multiple subsegmentectomies is greater than that in single subsegmentectomy and combined segmentectomy with subsegmentectomy, which may be related to the more complex vascular variations in multiple subsegmentectomies.

Objective:To construct a decision tree model to predict the risk of breast cancer in patients with pathological nipple discharge.Methods:A total of 157 patients with pathological nipple discharge,who were diagnosed and treated at Weifang Municipal Hospital of Traditional Chinese Medicine from January 2019 to April 2024 and met the inclusion criteria,were selected.A risk prediction model for concurrent breast cancer in patients with pathological nipple discharge was developed using Logistic regression analysis.A decision tree was then constructed,and the predictive performance of the model was assessed based on the area under the receiver operating characteristic curve(AUC).Re-sults:The incidence of concurrent breast cancer among patients with pathological nipple discharge was 24.2%.Accord-ing to the results of binary Logistic regression analysis,elevated CEA and CA 153 levels in nipple discharge,as well as bloody discharge,emerged as independent risk factors for the development of breast cancer in such patients(P<0.05).Based on these findings,a decision tree model was constructed to predict the risk of concurrent breast cancer in patients with pathological nipple discharge.The validation results showed that the Logistic regression model had an AUC value of 0.800,while the decision tree model achieved an AUC value of 0.889.Conclusions:The decision tree model,built upon the identified influencing factors,exhibits strong predictive power for the risk of developing concurrent breast can-cer in patients with pathological nipple discharge,thus facilitating more precise preoperative diagnoses by clinicians for these patients.

Objective:To investigate the attention level of oral medicine residents in standardized training (referred to as residency training) to oral aesthetic information and its influencing factors.Methods:This study was a cross-sectional study, which included 262 residents undergoing standardized training at Hospital of Stomatology, Wuhan University in January 2020. Among them, there were 73 males and 189 females, with an age range of 23-33 (26±2) years. A questionnaire survey method was used, and the questionnaire included the basic characteristics of the subjects (gender, grade, major, identity, and having training experience in prosthodontic base or not) as well as their attention to oral aesthetic information (facial proportions, facial midline, smile line, facial contour, E-line, nasolabial angle, tooth shape and contour, and tooth proportions). Differences in the attention to oral aesthetic information among residents with different basic characteristics were compared, and a multivariable logistic regression was used to identify the influencing factors.Results:Among the 262 oral medicine residents, 256 (97.7%) believed that it was necessary to pay attention to oral aesthetic information. The differences in attention to facial proportions between residents of different genders and between those with and without training experience in the prosthodontic base were statistically significant (both P<0.05). The results of the multivariate logistic regression showed that male residents were less likely to pay attention to facial proportions compared with female residents ( OR=0.45, 95% CI: 0.23-0.88). Compared with residents specializing in orthodontics, non-orthodontic residents were less likely to pay attention to the E-line ( OR=0.14-0.27, 95% CI: 0.04-0.68) and nasolabial angle ( OR=0.14-0.31, 95% CI: 0.04-0.81). Residents who were graduate students with integrated four certificates were more likely to pay attention to the E-line compared with industry-based personnel ( OR=1.88, 95% CI: 1.01-3.49). Residents without training experience in the prosthodontic base were less likely to pay attention to the facial proportion ( OR=0.44, 95% CI: 0.20-0.97) and tooth shape and contour ( OR=0.33, 95% CI: 0.11-0.98) compared with those with such training experience in prosthodontic base. Conclusions:Oral medicine residents have a high level of attention to oral aesthetic information. Gender, major, identity, and having training experience in the prosthodontic base or not are factors that influence their attention to oral aesthetic information.

Liposomes serve as critical carriers for drugs and vaccines, with their biological effects influenced by their size. The microfluidic method, renowned for its precise control, reproducibility, and scalability, has been widely employed for liposome preparation. Although some studies have explored factors affecting liposomal size in microfluidic processes, most focus on small-sized liposomes, predominantly through experimental data analysis. However, the production of larger liposomes, which are equally significant, remains underexplored. In this work, we thoroughly investigate multiple variables influencing liposome size during microfluidic preparation and develop a machine learning (ML) model capable of accurately predicting liposomal size. Experimental validation was conducted using a staggered herringbone micromixer (SHM) chip. Our findings reveal that most investigated variables significantly influence liposomal size, often interrelating in complex ways. We evaluated the predictive performance of several widely-used ML algorithms, including ensemble methods, through cross-validation (CV) for both liposome size and polydispersity index (PDI). A standalone dataset was experimentally validated to assess the accuracy of the ML predictions, with results indicating that ensemble algorithms provided the most reliable predictions. Specifically, gradient boosting was selected for size prediction, while random forest was employed for PDI prediction. We successfully produced uniform large (600 nm) and small (100 nm) liposomes using the optimised experimental conditions derived from the ML models. In conclusion, this study presents a robust methodology that enables precise control over liposome size distribution, offering valuable insights for medicinal research applications.

OBJECTIVE: The study aim was to investigate the effects of exposure to multiple environmental organic pollutants on cardiopulmonary health with a focus on the potential mediating role of oxidative stress. METHODS: A repeated-measures randomized crossover study involving healthy college students in Beijing was conducted. Biological samples, including morning urine and venous blood, were collected to measure concentrations of 29 typical organic pollutants, including hydroxy polycyclic aromatic hydrocarbons (OH-PAHs), bisphenol A and its substitutes, phthalates and their metabolites, parabens, and five biomarkers of oxidative stress. Health assessments included blood pressure measurements and lung function indicators. RESULTS: Urinary concentrations of 2-hydroxyphenanthrene (2-OH-PHE) ( β = 4.35% [95% confidence interval ( CI): 0.85%, 7.97%]), 3-hydroxyphenanthrene ( β = 3.44% [95% CI: 0.19%, 6.79%]), and 4-hydroxyphenanthrene (4-OH-PHE) ( β = 5.78% [95% CI: 1.27%, 10.5%]) were significantly and positively associated with systolic blood pressure. Exposures to 1-hydroxypyrene (1-OH-PYR) ( β = 3.05% [95% CI: -4.66%, -1.41%]), 2-OH-PHE ( β = 2.68% [95% CI: -4%, -1.34%]), and 4-OH-PHE ( β = 3% [95% CI: -4.68%, -1.29%]) were negatively associated with the ratio of forced expiratory volume in the first second to forced vital capacity. These findings highlight the adverse effects of exposure to multiple pollutants on cardiopulmonary health. Biomarkers of oxidative stress, including 8-hydroxy-2'-deoxyguanosine and extracellular superoxide dismutase, mediated the effects of multiple OH-PAHs on blood pressure and lung function. CONCLUSION Exposure to multiple organic pollutants can adversely affect cardiopulmonary health. Oxidative stress is a key mediator of the effects of OH-PAHs on blood pressure and lung function.
Humans ; Oxidative Stress/drug effects* ; Male ; Cross-Over Studies ; Female ; Young Adult ; Environmental Pollutants/toxicity* ; Environmental Exposure/adverse effects* ; Biomarkers/blood* ; Adult ; Blood Pressure/drug effects* ; Polycyclic Aromatic Hydrocarbons/urine* ; Beijing

Pancreatic cancers (PCs) is a common malignant tumor with poor prognosis in the digestive system. Its main treatment methods include surgery, radiotherapy, chemotherapy, and targeted therapy. The early diagnosis rate of hidden onset of PCs is low, and most patients have already lost the opportunity to undergo surgery when diagnosed with PCs. Chemotherapy is still the main treatment for advanced PCs, but the use of chemotherapy drugs in PCs can easily lead to drug resistance. The most significant feature that distinguishes PCs from other tumors is its rich and dense matrix, which not only hinders drug penetration but also impedes the infiltration of immune cells. The above reasons have led to a very low survival rate of PCs patients. Therefore, drug delivery systems are very important in the diagnosis and treatment of PCs. They can improve drug delivery, enhance biological barrier penetration, reduce side effects, and combine multiple treatment methods. Therefore, the treatment prospects of PCs are very broad. Currently, drug delivery systems widely applied in PCs primarily include nanodrug delivery systems, tumor microenvironment-targeted drug delivery system, immunotherapy drug delivery system, gene therapy drug delivery system, and combination therapy drug delivery system that synergize multiple therapeutic modalities. Emerging drug delivery systems (DDSs) have revolutionized PCs treatment by addressing these challenges through multiple mechanisms. Nanoformulations improve drug solubility, prolong circulation time, and reduce systemic toxicity via passive/active targeting. Smart DDSs responsive to PCs-specific stimuli enable extracellular matrix degradation, tumor-associated fibroblasts reprogramming, and vascular normalization to enhance drug accessibility. Last but not least, carrier systems loaded with myeloid-derived suppressor cell inhibitors or T cell activators can reverse immunosuppression and potentiate immunotherapy efficacy. Advanced platforms co-deliver chemotherapeutics with immunomodulators, gene-editing tools, or sonodynamic agents to achieve synergistic antitumor effects. These platforms aim to address critical challenges in PCs treatment, such as enhancing drug bioavailability, overcoming stromal barriers, reprogramming immunosuppressive niches, and achieving multi-mechanistic antitumor effects. This article provides a systematic summary and prospective analysis of the current development status, latest cutting-edge advances, opportunities, and challenges of the above-mentioned drug delivery systems in the field of PCs therapy.