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.

Objective: To explore the feasibility of constructing a lung cancer early-warning risk model based on facial image features, providing novel insights into the early screening of lung cancer. Methods: This study included patients with pulmonary nodules diagnosed at the Physical Examination Center of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from November 1, 2019 to December 31, 2024, as well as patients with lung cancer diagnosed in the Oncology Departments of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine and Longhua Hospital during the same period. The facial image information of patients with pulmonary nodules and lung cancer was collected using the TFDA-1 tongue and facial diagnosis instrument, and the facial diagnosis features were extracted from it by deep learning technology. Statistical analysis was conducted on the objective facial diagnosis characteristics of the two groups of participants to explore the differences in their facial image characteristics, and the least absolute shrinkage and selection operator (LASSO) regression was used to screen the characteristic variables. Based on the screened feature variables, four machine learning methods: random forest, logistic regression, support vector machine (SVM), and gradient boosting decision tree (GBDT) were used to establish lung cancer classification models independently. Meanwhile, the model performance was evaluated by indicators such as sensitivity, specificity, F1 score, precision, accuracy, the area under the receiver operating characteristic (ROC) curve (AUC), and the area under the precision-recall curve (AP). Results: A total of 1 275 patients with pulmonary nodules and 1 623 patients with lung cancer were included in this study. After propensity score matching (PSM) to adjust for gender and age, 535 patients were finally included in the pulmonary nodule group and the lung cancer group, respectively. There were significant differences in multiple color space metrics (such as R, G, B, V, L, a, b, Cr, H, Y, and Cb) and texture metrics [such as gray-levcl co-occurrence matrix (GLCM)-contrast (CON) and GLCM-inverse different moment (IDM)] between the two groups of individuals with pulmonary nodules and lung cancer (P < 0.05). To construct a classification model, LASSO regression was used to select 63 key features from the initial 136 facial features. Based on this feature set, the SVM model demonstrated the best performance after 10-fold stratified cross-validation. The model achieved an average AUC of 0.8729 and average accuracy of 0.799 0 on the internal test set. Further validation on an independent test set confirmed the model’s robust performance (AUC = 0.823 3, accuracy = 0.729 0), indicating its good generalization ability. Feature importance analysis demonstrated that color space indicators and the whole/lip Cr components (including color-B-0, wholecolor-Cr, and lipcolor-Cr) were the core factors in the model’s classification decisions, while texture indicators [GLCM-angular second moment (ASM)_2, GLCM-IDM_1, GLCM-CON_1, GLCM-entropy (ENT)_2] played an important auxiliary role. Conclusion The facial image features of patients with lung cancer and pulmonary nodules show significant differences in color and texture characteristics in multiple areas. The various models constructed based on facial image features all demonstrate good performance, indicating that facial image features can serve as potential biomarkers for lung cancer risk prediction, providing a non-invasive and feasible new approach for early lung cancer screening.

In order to explore the possible role and molecular mechanism of the combined action of leech and bear bile in liver and gallbladder diseases, this study first used network pharmacology methods to screen the components and targets of leech and bear bile, as well as the related target genes of liver and gallbladder diseases. The selected key genes were subjected to interaction network and GO/KEGG enrichment analysis. Then, using sodium oleate induced HepG2 cell lipid deposition model and DL-ethionine induced mouse fatty liver model, the activity of leech and bear bile alone and in combination in reducing liver fat was evaluated in vitro and in vivo, and the expression of key pathway related proteins suggested by network pharmacology was detected by Western blot. The results of network pharmacology analysis showed that the active ingredients of leech and bear bile have 295 intersecting targets with liver and gallbladder related diseases, involving more than 200 signaling pathways, including the PI3K/Akt signaling pathway and phospholipase D signaling pathway closely related to glucose and lipid metabolism. The results of in vitro validation experiments showed that both leech and bear bile, alone and in combination, can significantly inhibit the lipid deposition induced by sodium oleate in human liver cells, reduce the triacylglycerol level in cell culture supernatant, and inhibit the lipid content in liver cells. The observation results of Nile red staining confocal microscopy showed that the combination of leech and bear bile had better activity in reducing lipid deposition in liver cells compared to using them alone. In a mouse fatty liver model, the combination of leech and bear bile can better reduce elevated organ indices, blood lipids, and liver lipid levels, as well as lower the levels of serum liver injury biomarkers. The animals used in this experiment and related disposal meet the requirements of animal welfare. Before the experiment, it was reviewed and approved by IACUC, Institute of Materia Medica, Chinese Academy of Medical Sciences. The Western blot experiment results showed that the combination of leech and bear bile can significantly upregulate the expression levels of p-PI3K and p-Akt proteins, and increase the p-PI3K/PI3K and p-Akt/Akt ratios, which is consistent with the predicted results of network pharmacology. The combination of leech and bear bile has great potential for treating fatty liver disease, and activating the PI3K/Akt pathway may be one of the important mechanisms for reducing lipid deposition in liver cells.

Intermittent theta burst stimulation (iTBS), a time-saving and cost-effective repetitive transcranial magnetic stimulation regime, has been shown to improve cognition in patients with Alzheimer's disease (AD). However, the specific mechanism underlying iTBS-induced cognitive enhancement remains unknown. Previous studies suggested that mitochondrial functions are modulated by magnetic stimulation. Here, we showed that iTBS upregulates the expression of iron-sulfur cluster assembly 1 (ISCA1, an essential regulatory factor for mitochondrial respiration) in the brain of APP/PS1 mice. In vivo and in vitro studies revealed that iTBS modulates mitochondrial iron-sulfur cluster assembly to facilitate mitochondrial respiration and function, which is required for ISCA1. Moreover, iTBS rescues cognitive decline and attenuates AD-type pathologies in APP/PS1 mice. The present study uncovers a novel mechanism by which iTBS modulates mitochondrial respiration and function via ISCA1-mediated iron-sulfur cluster assembly to alleviate cognitive impairments and pathologies in AD. We provide the mechanistic target of iTBS that warrants its therapeutic potential for AD patients.
Humans ; Mice ; Animals ; Transcranial Magnetic Stimulation ; Alzheimer Disease/therapy* ; Cognitive Dysfunction/therapy* ; Cognition ; Sulfur ; Iron ; Iron-Sulfur Proteins ; Mitochondrial Proteins

Objectives To investigate the relationship between self-reported occupational noise exposure and levels of plasma inflammatory cytokines in asthmatic patients. Methods A total of 910 adult asthmatic patients were selected as the study subjects, and their occupational noise exposure history and other related information were collected. The peripheral blood samples were collected from the patients, and the expression levels of plasma soluble CD14 (sCD14), complement factor D (CFD), Eotaxin-11 (CCL11), and IL-9 were determined. The relationship between self-reported occupational noise exposure and the expression levels of the four inflammatory cytokines in patients’ plasma were analyzed using multiple linear regression models. The interactions between confounding factors and self-reported occupational noise exposure were further analyzed by interaction analysis. Results The plasma CCL11, sCD14 and CFD expressions in asthmatic patients with self-reported occupational noise exposure were significantly higher than those in patients without the exposure (P<0.05). After adjusting for confounding factors, compared with patients reporting no occupational noise exposure, the plasma CFD expression was increased by 0.17 (95% CI: 0.02, 0.31) natural logarithm units in patients with self-reported occupational noise exposure. During remission, the levels of plasma CCL11 and sCD14 in asthmatic patients with self-reported occupational noise exposure were increased by 0.27 (95% CI: 0.05, 0.49) and 0.22 (95% CI: 0.02, 0.41) natural logarithm units, respectively, when compared with patients without the exposure. Interaction analysis showed that self-reported occupational noise exposure had significant multiplicative interaction with smoking or pet ownership on plasma CCL11 or CFD expressions in asthmatic patients (all P<0.05). Conclusion Self-reported occupational noise exposure is significantly associated with increased expression levels of plasma CFD, CCL11, and sCD14 in adult asthmatic patients.

Objective:To explore the effect of family-based body weight management on cardiac function and readmission in patients with chronic heart failure.Methods:The study was a single-blind randomized controlled trial. Elderly patients with heart failure who were treated in Yichuan Community Health Service Center of Putuo District from June 2019 to May 2020 were enrolled in the study. The patients were randomly divided into the control group and the intervention group. All patients were treated with anti-heart failure drugs; in addition, the intervention group received family-based weight management and the control group received the conventional weight management. The cognition of self-management and weight management of patients was assessed by the Heart Failure Patient Self-Management Scale and the Weight Management Scale, before intervention and after 12 months of intervention, respectively. At the same time, the 6-min walking test, the New York Heart Association (NYHA) cardiac function grading assessment were performed, plasma N-terminal proB-type natriuretic peptide (NT-proBNP) was measured, left ventricular ejection fraction (LVEF) was determined and body weight measurement was completed; and the readmissions of patients due to heart failure during follow-up were recorded.Results:A total of 249 patients aged (65.2±2.9) years, including 104 males (41.8%) were enrolled; there were 124 in the intervention group and 125 in the control group. There were no significant differences in age, gender, marital status and educational level between the two groups (all P>0.05). There were no significant differences in the baseline scores of the Heart Failure Patient Self-Management Scale between the two groups (all P>0.05). After intervention, all scores of the intervention group were significantly better than those of the control group (all P<0.01). There were no significant differences in the scores of the Weight Management Scale between the two groups before intervention (all P>0.05), whereas all scores of the intervention group were significantly better than those of the control group after intervention (all P<0.01). There was no significant difference in body weight between the two groups before intervention ( P=0.397), while the average body weight of the intervention group was significantly lower than that of the control group after intervention ( P=0.029). At baseline, there were no significant differences in the LVEF, NT-proBNP level, 6-min walking distance, and the proportion of NYHA patients with grade Ⅲ/Ⅳ heart function between the two groups (all P>0.05). After intervention, LVEF and 6-min walking distance of patients in the intervention group were significantly higher than those in the control group (all P<0.01); the plasma NT-proBNP level and the proportion of NYHA grade Ⅲ/Ⅳ were significantly lower than those in the control group (all P<0.01). During follow-up, the rate of readmission due to heart failure in the intervention group was lower than that in the control group ( P<0.001). Conclusion:Family-based weight management can improve heart function and reduce the readmission rate in elderly patients with heart failure.

OBJECTIVE To develop the evaluation system for the readability of drug instructions based on Chinese patient needs， and to provide scientific evidence for improving the readability of drug instructions in China. METHODS The literature review and expert consultation were adopted to establish the evaluation index system for the readability of drug instructions. Then， by the analytic hierarchy process， the index weight in the evaluation system was determined， and the evaluation system for the readability of drug instructions was established. Fuzzy comprehensive evaluation was used to test the evaluation system， taking drug instruction of Dexamethasone acetate cream as an example. RESULTS The evaluation system for the readability of drug instructions was established with 5 primary criteria such as text expression， numerical application， content design， behavioral suggestions， and layout design， as well as 17 sub-criteria such as easy-to-understand words and appropriately long sentences. The reliability and validity tests met the requirements. The result of 100 respondents evaluating the readability of the drug instructions of Dexamethasone acetate cream showed that the readability of drug instructions was scored as good as 4.24. CONCLUSIONS Established evaluation system for the readability of drug instructions in the study can be used to evaluate the quality and readability of drug instructions in China.

Morita therapy has been bom for more than 100 years.Inpatient Morita therapy is highly oper-able and easy to master.It can improve many refractory neuroses through four-stage treatment.But more neuroses are treated in outpatient clinics,and Morita therapy cannot be used in hospitalized patients.Therefore,the formula-tion of expert opinions on outpatient operations is particularly important.This paper is based on domestic and for-eign references,and after many discussions by domestic Morita therapy experts,and then drew up the first version of the expert opinions on operation of outpatient Morita therapy.Meanwhile the operation rule of Morita therapy in three stages of outpatient treatment was formulated:in the etiological analysis stage,under the theoretical guidance of Morita therapy,analyze the pathogenic factors,to improve treatment compliance and reduce resistance;during the operating stage,guide patients to engage in constructive and meaningful actions,realizing the achievement of letting nature take its course principle;in the cultivating character and enriching life stage,pay attention to positive infor-mation,expanding the scope and content of actions,improving the ability to adapt to complex life,and preventing recurrence caused by insufficient abilities.It will lay a foundation for the promotion of Morita therapy in domestic outpatient clinics,so that more patients with neurosis and other psychological diseases could receive characteristic Morita therapy treatment in outpatient clinics.

Objective:To investigate the diagnostic value of preferentially expressed antigen in melanoma (PRAME) immunohistochemical staining in differential diagnosis of primary endometrial and endocervical adenocarcinomas.Methods:Eighty‐seven cases of endometrial adenocarcinoma and sixty-three cases of cervical adenocarcinoma were collected from May 2018 to November 2023 in the Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School and all the cases were subject to PRAME immunohistochemical staining. The difference of PRAME expression between endometrial and endocervical adenocarcinomas was analyzed.Results:In 87 cases of endometrial adenocarcinoma, patients′ age ranged from 35 to 71 years (average 59 years, median 59 years); in 63 cases of cervical adenocarcinoma patients′ age ranged from 28 to 80 years (average 49 years, median 47 years). Seventy‐eight cases (78/87, 89.7%) of endometrial adenocarcinoma; 2 cases (2/63, 3.2%) of cervical adenocarcinoma showed positive PRAME staining, and both cases of cervical adenocarcinoma were clear cell carcinoma. The sensitivity and specificity of PRAME in distinguishing between endometrial and cervical adenocarcinoma in the cohort were 89.7% and 96.8%, while those in differentiating non-clear cell carcinoma of the uterus from that of the cervix reached up to 91% and 100%, respectively.Conclusions:Immunohistochemical staining for PRAME demonstrates statistically significant differences between endometrial and cervical carcinomas, making it a useful auxiliary diagnostic marker for differentiating cervical and endometrial adenocarcinoma, especially non-clear cell carcinoma.

Objective:To investigate the predictive value of controlling nutritional status (CONUT) score in the prognosis of patients with advanced diffuse large B-cell lymphoma (DLBCL).Methods:A retrospective case series study was performed. The clinical data of 654 patients newly diagnosed with advanced DLBCL diagnosed in 7 medical centers in Huaihai Lymphoma Working Group from October 2009 to January 2022 were retrospectively collected. All the patients received rituximab-based immune chemotherapy regimens. The patients were randomly assigned to the training set (458 cases) and the validation set (196 cases) in a 7:3 ratio. The clinicopathological data of patients were collected, and the CONUT score was calculated based on albumin, lymphocyte count, and total cholesterol. The optimal critical value of CONUT scote was determined by using MaxStat method. Kaplan-Meier method was used to draw survival curves; Cox proportional hazards model was used to make univariate analysis and multivariate analysis on the factors influencing overall survival (OS). The efficacy of CONUT score in combination with the International prognostic index (IPI) and an enhanced IPI (NCCN-IPI) in predicting OS was evaluated by using receiver operating characteristic (ROC) curves.Results:The median follow-up time of 654 patients was 38.1 months (95% CI: 35.3 months- 40.9 months), and the 5-year OS rate was 49.2%. According to the MaxStat method, the optimal critical value for CONUT score was determined to be 6 points. All the patients were classified into the normal nutritional status group (CONUT score ≤ 6 points, 489 cases) and the poor nutritional status group (CONUT score > 6 points, 165 cases). The results of the multivariate analysis showed that CONUT score > 6 points, male, lactate dehydrogenase >240 U/L, high white blood cell count, low hemoglobin level and age > 60 years were independent risk factors for OS of patients with advanced DLBCL (all P < 0.05). Patients in the poor nutritional status group (CONUT score > 6 points) had worse OS compared with that in the normal nutritional status group in the overall cohort of advanced DLBCL. Subgroup analysis revealed that among patients with Eastern Cooperative Oncology Group-performance status (ECOG PS) score < 2 points, IPI low-intermediate risk, IPI intermediate-high risk, NCCN-IPI low-intermediate risk, and NCCN-IPI intermediate-high risk, the patients in the poor nutritional status group (CONUT score > 6 points) had worse OS compared with that in the normal nutritional status group (CONUT score ≤ 6 points) (all P < 0.05). Conclusions:CONUT score has a certain value in the assessment of the prognosis of patients with advanced DLBCL, and its predictive efficacy is further improved when combined with IPI and NCCN-IPI.