Objective To reveal the scientific output and trends in pulmonary nodules/early-stage lung cancer prediction models. Methods Publications on predictive models of pulmonary nodules/early lung cancer between January 1, 2002 and June 3, 2023 were retrieved and extracted from CNKI, Wanfang, VIP and Web of Science database. CiteSpace 6.1.R3 and VOSviewer 1.6.18 were used to analyze the hotspots and theme trends. Results A marked increase in the number of publications related to pulmonary nodules/early-stage lung cancer prediction models was observed. A total of 12581 authors from 2711 institutions in 64 countries/regions published 2139 documents in 566 academic journals in English. A total of 282 articles from 1256 authors were published in 176 journals in Chinese. The Chinese and English journals which published the most pulmonary nodules/early-stage lung cancer prediction model-related papers were Journal of Clinical Radiology and Frontiers in Oncology, respectively. Chest was the most frequently cited journal. China and the United States were the leading countries in the field of pulmonary nodules/early-stage lung cancer prediction models. The institutions represented by Fudan University had significant academic influence in the field. Analysis of keywords revealed that multi-omics, nomogram, machine learning and artificial intelligence were the current focus of research. Conclusion Over the last two decades, research on risk-prediction models for pulmonary nodules/early-stage lung cancer has attracted increasing attention. Prognosis, machine learning, artificial intelligence, nomogram, and multi-omics technologies are both current hotspots and future trends in this field. In the future, in-depth explorations using different omics should increase the sensitivity and accuracy of pulmonary nodules/early-stage lung cancer prediction models. More high-quality future studies should be conducted to validate the efficacy and safety of pulmonary nodules/early-stage lung cancer prediction models further and reduce the global burden of lung cancer.

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 evaluate the efficacy and safety of brexpiprazole in treating acute schizophrenia.Methods Patients with schizophrenia were randomly divided into treatment group and control group.The treatment group was given brexpiprozole 2-4 mg·d-1 orally and the control group was given aripiprazole 10-20 mg·d-1orally,both were treated for 6 weeks.Clinical efficacy of the two groups,the response rate at endpoint,the changes from baseline to endpoint of Positive and Negative Syndrome Scale(PANSS),Clinical Global Impression-Improvement(CGI-S),Personal and Social Performance scale(PSP),PANSS Positive syndrome subscale,PANSS negative syndrome subscale were compared.The incidence of treatment-related adverse events in two groups were compared.Results There were 184 patients in treatment group and 186 patients in control group.After treatment,the response rates of treatment group and control group were 79.50％(140 cases/184 cases)and 82.40％(150 cases/186 cases),the scores of CGI-I of treatment group and control group were(2.00±1.20)and(1.90±1.01),with no significant difference(all P＞0.05).From baseline to Week 6,the mean change of PANSS total score wese(-30.70±16.96)points in treatment group and(-32.20±17.00)points in control group,with no significant difference(P＞0.05).The changes of CGI-S scores in treatment group and control group were(-2.00±1.27)and(-1.90±1.22)points,PSP scores were(18.80±14.77)and(19.20±14.55)points,PANSS positive syndrome scores were(-10.30±5.93)and(-10.80±5.81)points,PANSS negative syndrome scores were(-6.80±5.98)and(-7.30±5.15)points,with no significant difference(P＞0.05).There was no significant difference in the incidence of treatment-related adverse events between the two group(69.00％vs.64.50％,P＞0.05).Conclusion The non-inferiority of Brexpiprazole to aripiprazole was established,with comparable efficacy and acceptability.

Purpose::Cerebral edema (CE) is the main secondary injury following traumatic brain injury (TBI) caused by road traffic accidents (RTAs). It is challenging to be predicted timely. In this study, we aimed to develop a prediction model for CE by identifying its risk factors and comparing the timing of edema occurrence in TBI patients with varying levels of injuries.Methods::This case-control study included 218 patients with TBI caused by RTAs. The cohort was divided into CE and non-CE groups, according to CT results within 7 days. Demographic data, imaging data, and clinical data were collected and analyzed. Quantitative variables that follow normal distribution were presented as mean ± standard deviation, those that do not follow normal distribution were presented as median (Q 1, Q 3). Categorical variables were expressed as percentages. The Chi-square test and logistic regression analysis were used to identify risk factors for CE. Logistic curve fitting was performed to predict the time to secondary CE in TBI patients with different levels of injuries. The efficacy of the model was evaluated using the receiver operator characteristic curve. Results::According to the study, almost half (47.3%) of the patients were found to have CE. The risk factors associated with CE were bilateral frontal lobe contusion, unilateral frontal lobe contusion, cerebral contusion, subarachnoid hemorrhage, and abbreviated injury scale (AIS). The odds ratio values for these factors were 7.27 (95% confidence interval ( CI): 2.08 -25.42, p = 0.002), 2.85 (95% CI: 1.11 -7.31, p = 0.030), 2.62 (95% CI: 1.12 -6.13, p = 0.027), 2.44 (95% CI: 1.25 -4.76, p = 0.009), and 1.5 (95% CI: 1.10 -2.04, p = 0.009), respectively. We also observed that patients with mild/moderate TBI (AIS ≤ 3) had a 50% probability of developing CE 19.7 h after injury (χ 2= 13.82, adjusted R2 = 0.51), while patients with severe TBI (AIS > 3) developed CE after 12.5 h (χ 2= 18.48, adjusted R2 = 0.54). Finally, we conducted a receiver operator characteristic curve analysis of CE time, which showed an area under the curve of 0.744 and 0.672 for severe and mild/moderate TBI, respectively. Conclusion::Our study found that the onset of CE in individuals with TBI resulting from RTAs was correlated with the severity of the injury. Specifically, those with more severe injuries experienced an earlier onset of CE. These findings suggest that there is a critical time window for clinical intervention in cases of CE secondary to TBI.

The treatment strategy for blast injuries is closely linked to the clinical outcome of blast injury casualties. However, the application of military surgery experience to blast injuries caused by production safety accidents is relatively uncommon. In this study, the authors present 2 cases of blast injuries caused by one gas explosion, both cases involved individuals of the same age and gender and experienced similar degree of injury. The authors highlight the importance of using a military surgery treatment strategy, specifically emphasizing the need to understand the concept of damage control and disposal. It is recommended that relevant training in this area should be strengthened to improve the clinical treatment of such injuries. This study provides a valuable reference for healthcare professionals dealing with blast injuries.

This study was aimed at exploring the epidemiological characteristics of plague,and the evolutionary relation-ships among the isolated plague strains in the Yunnan border area,to provide clues for further studying epidemic causes and ep-idemiological patterns.Plague epidemic data in the border area during the second epidemic period(1982-2007)were collected and analyzed with descriptive epidemiological methods.Whole genome sequences of 262 strains of Yersinia pestis in the border area were obtained for phylogenetic analysis.Plague outbreaks occurred in 17 counties(cities)among 25 border counties(cit-ies);a total of 552 epidemic foci and 123 human cases were identified.The 1.ORI2,1.ORI3,1.IN3,2.ANT and 2.MED geno-types were identified among Yersinia pestis isolated from the Yunnan border area,among which the 1.ORI2 population was dominant.A total of 258 strains of Yersinia pestis from the 1.OR12 population belonged to four subclusters.The Myanmar and Vietnam clade was embedded within the Yunnan clade in the overall phylogeny.The above results indicated that during the sec-ond period of the epidemic,the intensity of plague epidemics in Yunnan's border areas was high,showing a trend of devel-opment from west to south and east.Our findings indicated a risk of cross-border transmission of plague between Yunnan and neighboring countries;therefore,the surveillance,pre-vention,and control of plague in border areas should be strengthened.

Objective To investigate the therapeutic effect and underlying mechanism of Qishishenshu Capsule on renal fibrosis in mice with early diabetic nephropathy(DN).Methods A DN mouse model was established by multiple injections of streptozotocin.The mice were randomly divided into a normal group(NC),model group(DN),and Qishi group(QS)(0.9 g/(kg·d)),with eight mice in each group.Mice were gavaged continuously for 4 weeks,and fasting blood glucose(FBG)was measured weekly.Four weeks later,urinary albumin/creatinine(UACR),serum creatinine,and blood urea nitrogen were measured.Hematoxylin-eosin,periodicacid-Schiff,and Sirius red staining were used to analyze renal pathological changes.Real-time fluorescence quantitative reverse-transcription polymerase chain reaction was used to detect the mRNA levels of fibronectin(FN),collagen type Ⅰ alpha 1(Col1a1),and α-smooth muscle actin(α-SMA).Immunohistochemistry and Western blot were performed to detect FN,collagen type Ⅰ(Collagen Ⅰ),collagen typeⅢ(Collagen Ⅲ),α-SMA,Podocin,Nephrin,and transforming growth factor-β1/SMAD family member2/3(TGF-β1/Smad2/3)pathway-related proteins.Results Compared with mice in the NC group,those in the DN group showed significantly higher levels of FBG and UACR(P＜0.001),and mesangial hyperplasia,basement membrane thickening,and collagen deposition in the renal tissue.The mRNA levels of FN,Col1a1,and α-SMA were increased(P＜0.05).Protein levels of Podocin and Nephrin were decreased(P＜0.05).The levels of FN,Collagen I,Collagen Ⅲ,α-SMA,and TGF-β1/Smad2/3 pathway proteins were increased(P＜0.05).Compared with the DN group,the QS group's level of UACR was decreased(P＜0.05),their renal pathological injury was alleviated,and mRNA levels of FN,Collagen Ⅰ,andα-SMA were attenuated(P＜0.05);whereas their protein levels of Podocin and Nephrin were elevated(P＜0.05).The levels of FN,Collagen Ⅰ,Collagen Ⅲ,α-SMA,and TGF-β1/Smad2/3 pathway proteins were also decreased(P＜0.05).Conclusions Qishishenshu Capsule improved renal fibrosis in DN mice,probably through the inhibition of the TGF-β1/Smad2/3 signaling pathway.

Objective:To summarize and analyze the composition characteristics and problems of basic medical insurance policies for traditional Chinese medicine in various provinces of China,providing reference for optimizing and improving subsequent basic medical insurance policies for traditional Chinese medicine.Methods:Based on the perspective of policy instrument,combined with two dimensions of policy instrument types and policy development process,the content analysis method is used to quantitatively analyze the content of the basic medical insurance policies for traditional Chinese medicine released at the provincial level from 2011 to 2023.Results:The 93 included policy documents were coded and sorted,with a cumulative total of 487 codes.From the perspective of policy instrument dimensions,subcategories of policy instruments involve diverse themes,but there are differences in the level of attention paid to each policy tool.From the perspective of policy development process,each link also presents a discrete trend,indicating a dominant feature of policy planning and implementation.Conclusion:To improve the basic medical insurance policy system of traditional Chinese medicine in China,it is necessary to optimize the combination of policy instrument and construct a coordinated and balanced policy instrument framework;Overall planning of the development process of traditional Chinese medicine medical insurance policies,highlighting the unique advantages of traditional Chinese medicine;Emphasize policy synergy between dimensions and strengthen the implementation of traditional Chinese medicine medical insurance policies.

Purpose: Polyacrylamide hydrogel (PAHG), which had been used widely for breast augmentation, has been banned for more than 15 years. Patients who had been injected PAHG for breast augmentation need evacuation surgery to remove as much as possible. To provide a series of diagnosis and treatment process MRI and intraoperative color Doppler ultrasound are combined for maximal removal of PAHG. Methods: The patients who received evacuation surgery in Peking University Third Hospital from 2010 to 2022 after PAHG injection for breast augmentation were included in this research. MR scanning was performed preoperatively and postoperatively in some of these patients and color Doppler ultrasound was applied to help evacuate PAHG intraoperatively. The mean clearance rate of PAHG was calculated according to the MRI outcomes. Results: Two hundred and 4 patients had received evacuation surgery after PAHG injection for breast augmentation with an average age of 42.8 years and an average body mass index of 21.2 kg/m 2 . The average PAHG retention time was 13.5 years. Among them, 52 patients underwent pre- and postoperative MRI scanning. The mean three-dimensional (3D) volume of PAHG was 684.8 mL (range, 350.0–1,123.9 mL), and the average residual 3D volume of PAHG was 53.7 mL (range, 12.4–98.3 mL). The mean clearance rate was 92.1%. Conclusion MRI and intraoperative color Doppler ultrasound can provide effective and precise location information of PAHG for evacuation surgery, which is a reliable method to ensure the maximal removal of PAHG.

The material basis and mechanism of Chaenomelis Fructus in the treatment of rheumatoid arthritis(RA) were explored by network pharmacology, and the potential anti-RA targets of Chaenomelis Fructus were verified by molecular docking and animal experiments. The active components and targets of Chaenomelis Fructus were searched against the Traditional Chinese Medicine System Pharmacology Database and Analysis Platform. GeneCards, DisGeNET, and OMIM were used to obtain RA-related targets. The common targets shared by Chaenomelis Fructus and RA were considered as the potential targets of Chaenomelis Fructus in the treatment of RA. Cytoscape 3.9.0 was employed to establish a "traditional Chinese medicine-active component-common target-disease" network. The protein-protein interaction(PPI) network was established by STRING, and the core genes were visualized by RStudio 4.1.0. DAVID was used for Gene Ontology(GO) annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment to predict and visualize the involved signaling pathways. Molecular docking was carried out with the active components screened out as ligands and RA core genes as the targets. Finally, the prediction results were verified by animal experiments. Four main active components of Chaenomelis Fructus were obtained, which corresponded to 137 targets. Chaenomelis Fructus and RA shared 37 common targets. GO annotation yielded 239 terms(P<0.05), and KEGG pathway enrichment analysis screened out 94 signaling pathways(P<0.05), mainly involving interleukin-17(IL-17), tumor necrosis factor, Toll-like receptor, and nuclear factor-kappa B(NF-κB) signaling pathways. Molecular docking results showed that the main active components of Chaenomelis Fructus bound well with the core targets of RA. The results of animal experiments proved that Chaenomelis Fructus can alleviate joint swelling in the mice with RA. The results of ELISA showed that Chaenomelis Fructus lowered the levels of interleukin-6(IL-6) and interleukin-1β(IL-1β). Western blot showed that Chaenomelis Fructus down-regulated the protein level of vascular endothelial growth factor A(VEGFA). Chaenomelis Fructus exerts anti-inflammatory effect and reduces pannus formation by regulating the core targets such as VEGFA, IL-1β, and IL6 in the treatment of RA. The findings of this study provide new ideas for the future treatment of RA with Chaenomelis Fructus.
Animals ; Mice ; Network Pharmacology ; Vascular Endothelial Growth Factor A ; Molecular Docking Simulation ; Arthritis, Rheumatoid/genetics* ; Tumor Necrosis Factor-alpha ; NF-kappa B ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional