Background Kurtosis reflecting noise's temporal structure is an effective metric for evaluating noise-induced hearing loss (NIHL), and its threshold is still unclear. Objective To explore the energy range of kurtosis and the threshold of NIHL induced by kurtosis in this energy rangeMethods Using cross-sectional design, 4631 noise-exposed workers in manufacturing industry were selected. The hearing loss and noise exposure data of each worker were collected. Logistic regression model was used to establish the dose-response relationship between noise exposure and hearing loss and estimate the range of energy effects. Restricted cubic spline model was utilized to analyze the dose-response relationship curves of kurtosis to noise-induced hearing loss (NIHI) and high-frequency noise-induced hearing loss (HFNIHL) under different 8 h equivalent sound levels (L_{EX,8 h}), as well as to estimate the kurtosis effect threshold. Results The logistic regression model analysis showed that the prevalence of NIHI and HFNIHL increased significantly with increase of L_{EX,8 h} for steady noise; when L_{EX,8 h} of non-steady noise was 80-100 dB(A), the risk of hearing loss increased with an increase in kurtosis (P<0.05). The restricted cubic spline model showed that when L_{EX,8 h} of non-steady noise was 0-80 dB(A) or >100 dB(A), there was no significant relationship between kurtosis and NIHI or HFNIHL. When L_{EX,8 h} was 80-100 dB(A), there was a significant nonlinear dose-response relationship between kurtosis and NIHL or HFNIHL (P <0.001), and kurtosis > 28.08 exerted effect in elevating NIHI or HFNIHL. Conclusion The effect threshold of kurtosis on NIHL is 28.08 when non-steady noise levels are in the range of 80-100 dB(A). The effect threshold of kurtosis needs further verification.

Objective To explore the medication rules of Professor Hua Baojin in the treatment of subsolid pulmonary nodules through retrospective analysis and data mining techniques. Methods The prescriptions of patients with subsolid pulmonary nodules who were diagnosed and treated by Professor Hua Baojin at Guang’anmen Hospital of the Chinese Academy of Chinese Medical Sciences from January 1, 2021 to December 31, 2024 were retrospectively collected. Data were imported into the Ancient and Modern Medical Case Cloud Platform for analysis of drug frequency, four natures and five flavors, meridian tropism, drug association, and hierarchical clustering. Results A total of 455 prescriptions were included, containing 205 kinds of traditional Chinese medicines, with a total frequency of 12048 times. Fifty-seven commonly used drugs were screened out, among which drugs with high frequencies included astragalus membranaceus (raw) and hawthorn fruit (charred). The nature of the drugs was mainly warm, cold, and neutral. The flavor of the drugs was mostly sweet, bitter, and pungent. The meridians they belonged to mainly included the lung, spleen, and liver meridians. Their efficacy was mainly tonifying deficiency, clearing heat, resolving phlegm, and relieving cough and asthma. Association analysis obtained 19 pairs of drug combinations, 21 groups of three-drug combinations, and four groups of four-drug combinations. Hierarchical clustering obtained 10 groups of drug combinations. Conclusion On the basis of the core pathogenesis of subsolid pulmonary nodule, Professor Hua applies the theory of regulating qi and detoxifying; regulating the qi of the liver, spleen, and lung; and detoxifying the toxins of phlegm and blood stasis, providing valuable experience for the clinical treatment of SSN.

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 clinical information of female patients with pulmonary nodules and the distribution of traditional Chinese medicine (TCM) syndromes and their elements. Methods A cross-sectional study was conducted to collect the basic information, medical history data, image data, and four diagnostic information of female patients with pulmonary nodules. The distribution characteristics of TCM syndromes and their elements in female patients with pulmonary nodules were determined by KMO test, Bartlett spherical test, systematic cluster analysis, chi-square test, and other methods. Results A total of 721 female patients with pulmonary nodules were included in this study. The patients were mainly 45-59 years old, had secondary school education or above, and had a history of oil smoke exposure as clinical characteristics. The pulmonary nodules were mainly 6-10 mm in size and appeared as multiple and ground glass nodules. The clinical symptoms were mainly fatigue, emotional irritability, and shortness of breath. The main syndromes of disease location were the spleen, liver, and lung; and the main syndromes of disease were phlegm, dampness, and qi deficiency. The main complex syndromes were spleen deficiency and dampness, liver stagnation, and qi/yin deficiency. Conclusion Middle age, high education, and multiple small ground glass nodules are the clinical characteristics of female patients with pulmonary nodules. Exposure to oil smoke is an important cause of the occurrence of female pulmonary nodules. During treatment, attention should be paid to strengthening the spleen, removing dampness, soothing the liver, regulating and tonifying qi, and nourishing yin.

ObjectiveThis study aims to develop and validate a novel multimodal predictive model， termed criss-cross network（CCNet）-directed graph neural network（DGNN）（CGN）， for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer， by integrating longitudinal chest computed tomography（CT） imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron， and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently， a DGNN was constructed to integrate heterogeneous features， where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally， model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss， facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set， achieving an area under the receiver operating characteristic curve（AUC） of 0.830， accuracy of 0.843， sensitivity of 0.657， specificity of 0.712， Cohen's Kappa of 0.417， and F₁ score of 0.544. Compared with unimodal baselines， the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components， substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine （TCM）-specific symptomatology led to an additional 5% improvement in AUC， underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis， it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model， by synergistically combining cross-attention encoding with directed graph-based feature integration， enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment， thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.

OBJECTIVE: To observe the clinical efficacy and safety of acupuncture combined with blade needle therapy for knee osteoarthritis (KOA). METHODS: A total of 60 patients with KOA were randomly divided into an observation group and a control group, 30 cases each group. The control group received acupuncture at Neixiyan (EX-LE4)，Dubi (ST35), Yinlingquan (SP9), Liangqiu (ST34), Xuehai (SP10), Yanglingquan (GB34) and Zusanli (ST36) on the affected side, once every other day, 3 times a week. The observation group received blade needle therapy on the basis of the treatment in the control group, once every 3 days, 2 times a week. Both groups were treated for 4 weeks. Before treatment, after 2, 4 weeks of treatment, and after 1 month of treatment completion (in follow-up), the scores of pain visual analogue scale (VAS), Western Ontario and McMaster Universities osteoarthritis index (WOMAC) and Lequesne index were observed in the two groups, and the clinical efficacy and safety were evaluated. RESULTS: After 2, 4 weeks of treatment and in follow-up, the pain VAS scores, Lequesne index scores, and pain, stiffness, function scores of WOMAC in both groups were decreased compared with those before treatment (P<0.05), and the VAS scores, Lequesne index scores and pain, function scores of WOMAC in the observation group were lower than those in the control group (P<0.05). The effective response rate in the observation group was 76.7% (23/30), while that in the control group was 70.0% (21/30), there was no statistically significant difference in the effective response rates between the two groups (P>0.05). No adverse reactions were observed in either group. CONCLUSION Acupuncture combined with blade needle therapy could alleviate pain and promote functional recovery in KOA patients, and achieve long-lasting improvements.
Humans ; Osteoarthritis, Knee/physiopathology* ; Acupuncture Therapy/instrumentation* ; Male ; Female ; Middle Aged ; Aged ; Acupuncture Points ; Treatment Outcome ; Adult ; Needles ; Combined Modality Therapy

BACKGROUND: Pancreatic cancer is a lethal malignancy prone to gemcitabine resistance. The single-strand selective monofunctional uracil DNA glycosylase (SMUG1), which is responsible for initiating base excision repair, has been reported to predict the outcomes of different cancer types. However, the function of SMUG1 in pancreatic cancer is still unclear. METHODS: Gene and protein expression of SMUG1 as well as survival outcomes were assessed by bioinformatic analysis and verified in a cohort from Fudan University Shanghai Cancer Center. Subsequently, the effect of SMUG1 on proliferation, cell cycle, and migration abilities of SMUG1 cells were detected in vitro . DNA damage repair, apoptosis, and gemcitabine resistance were also tested. RNA sequencing was performed to determine the differentially expressed genes and signaling pathways, followed by quantitative real-time polymerase chain reaction and Western blotting verification. The cancer-promoting effect of forkhead box Q1 (FOXQ1) and SMUG1 on the ubiquitylation of myelocytomatosis oncogene (c-Myc) was also evaluated. Finally, a xenograft model was established to verify the results. RESULTS: SMUG1 was highly expressed in pancreatic tumor tissues and cells, which also predicted a poor prognosis. Downregulation of SMUG1 inhibited the proliferation, G1 to S transition, migration, and DNA damage repair ability against gemcitabine in pancreatic cancer cells. SMUG1 exerted its function by binding with FOXQ1 to activate the Protein Kinase B (AKT)/p21 and p27 pathway. Moreover, SMUG1 also stabilized the c-Myc protein via AKT signaling in pancreatic cancer cells. CONCLUSIONS SMUG1 promotes proliferation, migration, gemcitabine resistance, and c-Myc protein stability in pancreatic cancer via protein kinase B signaling through binding with FOXQ1. Furthermore, SMUG1 may be a new potential prognostic and gemcitabine resistance predictor in pancreatic ductal adenocarcinoma.
Humans ; Pancreatic Neoplasms/pathology* ; Forkhead Transcription Factors/genetics* ; Signal Transduction/genetics* ; Animals ; Cell Line, Tumor ; Proto-Oncogene Proteins c-akt/metabolism* ; Cell Proliferation/physiology* ; Mice ; Uracil-DNA Glycosidase/genetics* ; Female ; Male ; Gemcitabine ; Mice, Nude ; Apoptosis/physiology* ; Deoxycytidine/analogs & derivatives* ; Cell Movement/genetics*

Selenoproteins, as the active form of selenium, play an important role in various physiological and pathological processes, such as anti-oxidation, anti-tumor, immune response, metabolic regulation, reproduction and aging. Although the expression level of selenoproteins in adipose tissue is significantly influenced by dietary selenium intake, it is closely related to the homeostasis of adipose tissue. In this review, we summarized the role of selenoproteins in the physiological function of adipose tissue and the pathogenesis of obesity in recent years, in order to provide a rationale for developing potential therapeutic agents for the treatment of obesity and related metabolic diseases.
Selenoproteins/metabolism* ; Adipose Tissue/physiology* ; Obesity/metabolism* ; Humans ; Animals ; Selenium