AIM: To compare the efficacy of different intraocular lens(IOL)fixation in aphakic patients lacking capsule support.METHODS:Retrospective study. Totally 120 cases(120 eyes)of aphakia patients who lacked capsule support admitted to our hospital from June 2019 to June 2024 were selected as the study subjects and randomly assigned into group A and group B, with 60 cases in each group. Group A underwent subcapsular IOL deep scleral fixation, while group B underwent IOL suture suspension fixation in the ciliary groove. The surgery time, uncorrected visual acuity(UCVA), best corrected visual acuity(BCVA), intraocular pressure(IOP), corneal endothelial cell density(CECD), corneal endothelial cell loss rate, and postoperative complications were compared between the two groups before and at 1, 3, 6 mo after surgery.RESULTS:The operation time of the group A was lower than that of the group B(24.69±2.69 vs. 32.75±3.75 min, t=11.937, P<0.05). The UCVA and BCVA in both groups were better than those before operation, and the group A was better than the group B(all P<0.05). The loss rates of corneal endothelial cells in the group A were lower than those in the group B at 1, 3 and 6 mo after surgery, the IOP in the group A was lower than that in the group B at 1 mo after surgery, and the CECD in the group A was higher than the group B(all P<0.05). The 3 eyes(5.0%)of the postoperative IOL ectopic in the group A were less than 11 eyes in the group B(18.3%, P=0.023).CONCLUSION:Subcapsular IOL deep scleral fixation has prominent curative effects on aphakic patients who lack capsule support. It helps improve vision, with less operation time, and fewer postoperative complications.

T7 RNA polymerase (T7 RNAP) is one of the simplest known RNA polymerases. Its unique structural features make it a critical model for studying the mechanisms of RNA synthesis. This review systematically examines the static crystal structure of T7 RNAP, beginning with an in-depth examination of its characteristic “thumb”, “palm”, and “finger” domains, which form the classic “right-hand-like” architecture. By detailing these structural elements, this review establishes a foundation for understanding the overall organization of T7 RNAP. This review systematically maps the functional roles of secondary structural elements and their subdomains in transcriptional catalysis, progressively elucidating the fundamental relationships between structure and function. Further, the intrinsic flexibility of T7 RNAP and its applications in research are also discussed. Additionally, the review presents the structural diagrams of the enzyme at different stages of the transcription process, and through these diagrams, it provides a detailed description of the complete transcription process of T7 RNAP. By integrating structural dynamics and kinetics analyses, the review constructs a comprehensive framework that bridges static structure to dynamic processes. Despite its advantages, T7 RNAP has a notable limitation: it generates double-stranded RNA (dsRNA) as a byproduct. The presence of dsRNA not only compromises the purity of mRNA products but also elicits nonspecific immune responses, which pose significant challenges for biotechnological and therapeutic applications. The review provides a detailed exploration of the mechanisms underlying dsRNA formation during T7 RNAP catalysis, reviews current strategies to mitigate this issue, and highlights recent progress in the field. A key focus is the semi-rational design of T7 RNAP mutants engineered to minimize dsRNA generation and enhance catalytic performance. Beyond its role in transcription, T7 RNAP exhibits rapid development and extensive application in fields, including gene editing, biosensing, and mRNA vaccines. This review systematically examines the structure-function relationships of T7 RNAP, elucidates the mechanisms of dsRNA formation, and discusses engineering strategies to optimize its performance. It further explores the engineering optimization and functional expansion of T7 RNAP. Furthermore, this review also addresses the pressing issues that currently need resolution, discusses the major challenges in the practical application of T7 RNAP, and provides an outlook on potential future research directions. In summary, this review provides a comprehensive analysis of T7 RNAP, ranging from its structural architecture to cutting-edge applications. We systematically examine: (1) the characteristic right-hand domains (thumb, palm, fingers) that define its minimalistic structure; (2) the structure-function relationships underlying transcriptional catalysis; and (3) the dynamic transitions during the complete transcription cycle. While highlighting T7 RNAP’s versatility in gene editing, biosensing, and mRNA vaccine production, we critically address its major limitation—dsRNA byproduct formation—and evaluate engineering solutions including semi-rationally designed mutants. By synthesizing current knowledge and identifying key challenges, this work aims to provide novel insights for the development and application of T7 RNAP and to foster further thought and progress in related fields.

Aim To study the effect of menthol on hypobaric hypoxia-induced pulmonary arterial hypertension and explore the underlying mechanism in mice. Methods 10 to 12 weeks old wild type (WT) mice and TRPM8 gene knockout (TRPM8

Objective To explore the effects of glycyrrhizic acid(GA)on neurons injury in traumatic brain injury(TBI)rats and the possible mechanism.Methods The rats were randomly divided into sham-operation group,model group,control group and experimental-L,-M,-H groups,with 20 rats each group.The sham-operation group was only treated with craniotomy;the other 5 groups were used to establish TBI models by extracorporeal shock method.At 0,24 and 48 h after modeling,the experimental-L,-M,-H groups were intraperitoneally injected with 10,50 and 100 mg·kg-1 GA solution,respectively;control group was intraperitoneally injected with 2 mg·kg-1 nimodipine;sham-operation and model groups were intraperitoneally injected with the equal volume of phosphate buffered solution.The degree of neurological dysfunction was evaluated by cerebral edema and modified neurological severity score(mNSS).The apoptosis rates of neurons in rat brain tissue was evaluated by apoptosis staining.Western blot was used to analyze the expression levels of apoptosis-related proteins and aquaporin 4(AQP4)protein.Results The mNSS scores of experimental-M,-H groups,control group,model group,sham-operation group were(6.98±0.82),(5.28±0.37),(5.91±0.52),(13.28±1.59)and(0.36±0.01)points;the degrees of brain edema were(63.27±10.33)％,(60.09±9.38)％,(66.86±9.91)％,(85.92±11.93)％and(52.17±8.53)％;the apoptosis rates of neurons were(6.81±0.73)％,(5.39±0.25)％,(5.87±0.62)％,(15.13±3.29)％and(2.56±0.03)％;the relative expression levels of B cell lymphoma 2(Bel-2)protein were 0.49±0.06,0.68±0.15,0.62±0.03,0.13±0.03 and 0.95±0.13;the relative expression levels of Bel-2 associated X protein were 0.61±0.08,0.55±0.17,0.39±0.09,0.92±0.19 and 0.16±0.02;the relative expression levels of AQP4 protein were 0.69±0.15,0.38±0.03,0.47±0.09,0.86±0.13 and 0.13±0.09,respectively.There were statistically significant differences in the above indexes between the model group and the experimental-M,-H groups and control group(all P＜0.05).Conclusion GA is able to reduce the brain edema degree and neurological dysfunction in TBI rats,and inhibit neuronal damage and apoptosis,and the mechanism of action may be associated with the inhibition of AQP 4 expression.

Objective To construct machine learning models that can be used to predict AUC fold change(FC)using a database of existing pharmacokinetic(PK)and drug-drug interaction(DDI)information,which can be used to explore the possibility of predicting existing drug interactions and to provide certain rational recommendations for clinical drug use.Methods PK data of DDIs and AUC fold change data were extracted from FDA-approved drug labels.Peptide and pharmacodynamic(PD)information related to drug interactions were retrieved through DrugBank,and PPDT identification of relevant peptide IDs was performed using Protein Resource(UniProt),and a matrix normalization code was used to generate multidimensional vector data that were easy to analysis.The effect of PPDT on the AUC,and the resulting multiplicity change was used as the dependent variable for machine learning model construction.The model with the smallest root mean square error(RMES)value was used for model construction to train a bagged decision tree(Bagged)prediction model.The models were tested using the trained models for some of the drug tests.The models were evaluated by reviewing the available literature findings on detection of drug interaction pairs and analyzing and comparing the predicted values.Results A total of 16 pairs of model drug pairs were tested for the effects of 16 drugs on tacrolimus,and it was found that the accuracy of the prediction of the presence or absence of drug interactions was 81.25％;the prediction results were classified according to the FDA standard classification of the strong and weak for the strength of drug interactions,and the results showed that the prediction of the strength of drug interactions,with a large deviation from the larger prediction was less.Conclusion The evaluation of the model to predict the presence or absence of drug interactions was general;however,after classifying the strengths and weaknesses of drug interactions,the prediction of drug interactions was better,and the prediction results indicated that the model prediction performance has a certain reference value for potential DDI assessment before clinical trials.

Objective This study aimed to evaluate whether the onset of the plateau phase of slow hepatitis B surface antigen decline in patients with chronic hepatitis B treated with intermittent interferon therapy is related to the frequency of dendritic cell subsets and expression of the costimulatory molecules CD40,CD80,CD83,and CD86. Method This was a cross-sectional study in which patients were divided into a natural history group(namely NH group),a long-term oral nucleoside analogs treatment group(namely NA group),and a plateau-arriving group(namely P group).The percentage of plasmacytoid dendritic cell and myeloid dendritic cell subsets in peripheral blood lymphocytes and monocytes and the mean fluorescence intensity of their surface costimulatory molecules were detected using a flow cytometer. Results In total,143 patients were enrolled(NH group,n = 49;NA group,n = 47;P group,n = 47).The results demonstrated that CD141/CD1c double negative myeloid dendritic cell(DNmDC)/lymphocytes and monocytes(%)in P group(0.041[0.024,0.069])was significantly lower than that in NH group(0.270[0.135,0.407])and NA group(0.273[0.150,0.443]),and CD86 mean fluorescence intensity of DNmDCs in P group(1832.0[1484.0,2793.0])was significantly lower than that in NH group(4316.0[2958.0,5169.0])and NA group(3299.0[2534.0,4371.0]),Adjusted P all<0.001. Conclusion Reduced DNmDCs and impaired maturation may be associated with the onset of the plateau phase during intermittent interferon therapy in patients with chronic hepatitis B.

Objective To explore characteristics of clinical parameters and cytokines in patients with drug-induced liver injury(DILI)caused by different drugs and their correlation with clinical indicators. Method The study was conducted on patients who were up to Review of Uncertainties in Confidence Assessment for Medical Tests(RUCAM)scoring criteria and clinically diagnosed with DILI.Based on Chinese herbal medicine,cardiovascular drugs,non-steroidal anti-inflammatory drugs(NSAIDs),anti-infective drugs,and other drugs,patients were divided into five groups.Cytokines were measured by Luminex technology.Baseline characteristics of clinical biochemical indicators and cytokines in DILI patients and their correlation were analyzed. Results 73 patients were enrolled.Age among five groups was statistically different(P=0.032).Alanine aminotransferase(ALT)(P=0.033)and aspartate aminotransferase(AST)(P=0.007)in NSAIDs group were higher than those in chinese herbal medicine group.Interleukin-6(IL-6)and tumor necrosis factor alpha(TNF-α)in patients with Chinese herbal medicine(IL-6:P<0.001;TNF-α:P<0.001)and cardiovascular medicine(IL-6:P=0.020;TNF-α:P=0.001)were lower than those in NSAIDs group.There was a positive correlation between ALT(r=0.697,P=0.025),AST(r=0.721,P=0.019),and IL-6 in NSAIDs group. Conclusion Older age may be more prone to DILI.Patients with NSAIDs have more severe liver damage in early stages of DILI,TNF-α and IL-6 may partake the inflammatory process of DILI.

Objective:To investigate the efficacy and prognosis of CLAG±DAC (Clofarabine, Cytarabine, G-CSF±Decitabine) chemotherapy in patients with relapsed/refractory acute myeloid leukemia (R/R AML) .Methods:Continuous cases of R/R AML treated with the CLAG+DAC protocol or CLAG alone at the First Affiliated Hospital of Soochow University from January 2017 to December 2021 were retrospectively analyzed. The baseline characteristics, individual treatment regimen, treatment effect, disease progression, and survival status of patients were recorded. The factors influencing the efficacy of the CLAG±DAC chemotherapy regimens were analyzed, and the overall survival (OS) time after reinduction was calculated using the Kaplan-Meier method.Results:This study included a total of 53 patients, with 33 male patients and an average age of 40.6 years. Thirty-three patients achieved complete remission (CR+CRi) of the disease after the CLAG±DAC chemotherapy regimen and six patients achieved partial remission (PR), while 14 did not. Thirty-two patients eventually underwent hematopoietic stem cell transplantation, and the median OS of the patients was 55.9 months until follow-up. Patients with disease remission after the application of the CLAG±DAC chemotherapy had a significantly longer survival time than those without remission ( P<0.001). The results of the multifactorial analysis have revealed that combined DAC ( OR=4.60, 95% CI 1.14-23.5, P=0.04) and DNMT3A mutation ( OR=0.14, 95% CI 0.01-0.89, P=0.05) were the factors influencing the efficacy of the CLAG±DAC chemotherapy regimen. The remission rate was relatively higher in patients with R/R AML combined with FLT3-ITD mutation by applying the DAC+CLAG regimen ( OR=10.84, 95% CI 1.48-288.50, P=0.04) . Conclusion:The CLAG±DAC regimen is considered effective in patients with R/R AML, whereas decitabine combined with the CLAG regimen is more suitable for patients with R/R AML combined with FLT3-ITD mutation.

Objective To compare the three methods in intensity modulated radiation therapy(IMRT)dose verification using PTW Detector729.Methods A total of 50 patients with nasopharyngeal cancer,lung cancer,breast cancer,cervical cancer and whole brain radiation therapy who completed radiation treatment at some hospital from January to December 2022 were selected retrospectively.Two-dimensional(zero and actual gantry angles)and three-dimensional dose verifications were carried out for the IMRT plans using PTW Detector729 2D ionization chamber matrix combined with PTW RW3 solid water and PTW Ocavius 4D rotation unit.The dose assessment threshold was set to 10％,and the γ pass rates of the three verification methods were counted under four assessment criteria,namely 3％/1 mm,2％/2 mm,3％/2 mm and 3％/3 mm.SPSS 22.0 statistical software was used for data analysis.Results Under the 10％dose assessment threshold criterion,zero-gantry-angle 2D dose verification had the highest γ pass rate,and the differences were statistically significant(P＜0.05);actual-gantry-angle 2D dose verification had the γ pass rate higher than that of 3D verification,and the differences were statistically significant(P＜0.05).The γ pass rates of the three verification methods gradually increased under four criteria,namely,3％/1 mm,2％/2 mm,3％/2 mm and 3％/3 mm,and exceeded 90％under the 3％/2 mm criterion,and the results met the requirements of clinical radiotherapy.Conclusion The results of the three verification methods satisfy the requirements of the IMRT dose verification practice guidelines,and the selection of appropriate verification methods is of great significance to ensure the implementation of the treatment plan.[Chinese Medical Equipment Journal,2024,45(5):56-59]

Objective To evaluate healthcare-associated infection(HAI)status and influencing factors in coronary heart disease(CHD)patients after percutaneous coronary intervention(PCI)treatment,and construct a risk predic-tion model.Methods CHD patients who underwent PCI in a hospital from May 2019 to October 2023 were retro-spectively selected as the research subjects.Infection status of the CHD patients was analyzed.Patients were ran-domly divided into a modeling set and a testing set in a 7:3 ratio.Univariate and multivariate logistic regression ana-lyses were performed to analyze the data in the modeling set and determine the influencing factors for HAI in pa-tients.R software was used to construct and validate a nomogram model.Results A total of 858 CHD patients were included in the analysis,601 in the modeling set and 257 in the testing set.In the modeling set,41 cases were in the infected group and 560 cases in the non-infected group.The incidence of HAI in CHD patients after PCI treat-ment was 6.88％(59/858).Infection site were mainly upper respiratory tract and urinary tract.A total of 74 pathogens were isolated,including Gram-positive bacteria,Gram-negative bacteria,and fungi being 39,31,and 4 strains,respectively.Multivariate analysis showed that old age,combined diabetes,high grade of New York Heart Association(NYHA)classification,and invasive procedures were all risk factors for HAI in CHD patients after PCI treatment(all P＜0.05),while high mini-nutritional assessment short-form(MNA-SF)score was a protective fac-tor(P＜0.05).The area under the receiver operating characteristic(ROC)curve(AUC)of the nomogram predic-tion model constructed based on the above five indicators was 0.894(95％CI:0.815-0.931),with a sensitivity of 89.0％and a specificity of 82.5％.The testing set data validation showed an AUC value of 0.879(95％CI:0.801-0.923),with a sensitivity of 87.5％and a specificity of 81.3％,which were comparable to the modeling set and presented the stability of the model.The H-L goodness of fit test showed no statistical significance(P＞0.05),in-dicating that the model didn't exhibit overfitting.Calibration curve analysis showed that the model had good consis-tency.Decision curve analysis confirmed that the model had practical value in clinical practice.Conclusion The no-mogram model has a good predictive ability for HAI in CHD patients after PCI treatment,and can provide a simple and effective evaluation tool for medical staff to identify HAI high-risk individuals.