Objective: To investigate the protective effects of Gouqizi (Lycii Fructus, GQZ)-Danshen (Salviae Miltiorrhizae Radix et Rhizoma, DS) against hydrogen peroxide (H2O2)-induced oxidative injury in 661W retinal photoreceptor cells and to explore whether these effects involve angiopoietin-like 4 (ANGPTL4). Methods: Liquid chromatography-mass spectrometry (LC-MS) was used to identify the major components of GQZ-DS aqueous extract. An H2O2-induced oxidative injury model was established in 661W cells. Working concentrations of H2O2 and GQZ-DS were determined using the cell counting kit-8 (CCK-8) assay. Cells were subjected to GQZ-DS, ANGPTL4 knockdown, or ANGPTL4 overexpression as indicated. Flow cytometry was used to analyze cell cycle distribution, apoptotic rate, and intracellular reactive oxygen species (ROS). Colorimetric determination of malondialdehyde (MDA) content and superoxide dismutase (SOD) activity using the thiobarbituric acid (TBA) method was performed. The protein expression level of ANGPTL4 was assessed by immunofluorescence. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was performed to quantify the mRNA level of ANGPTL4. Western blot was used to detect the protein levels of ANGPTL4 and cleaved caspase-3. Results: LC-MS identified five major constituents in the GQZ-DS aqueous extract: 2-O-β-D-glucopyranosyl-L-ascorbic acid, rutin, D-galactose, salvianolic acid A, and tanshinone IIA. The CCK-8 method selected 300 μmol/L H2O2 as the oxidative stress condition for experiments, and 0.05 and 0.1 g/mL were selected as the low and high doses of GQZ-DS, respectively, for subsequent experiments. The intervention with H2O2 resulted in reduced cell viability, elevated ROS and MDA levels, decreased SOD activity, increased apoptotic rate, upregulated cleaved caspase-3 expression, and G0/G1 phase cell cycle arrest of 661W cells. Both low and high doses of GQZ-DS alleviated these alterations, with high dose exhibiting stronger protective effects (P < 0.05 or P < 0.01). GQZ-DS also downregulated ANGPTL4 expression at both the mRNA and protein levels. Following plasmid transfection of cells, the study further revealed that ANGPTL4 knockdown mitigated oxidative stress and apoptosis-related injury, whereas ANGPTL4 overexpression exacerbated these pathological changes. Moreover, GQZ-DS partially reversed the degree of cellular oxidative damage induced by ANGPTL4 overexpression. Conclusion GQZ-DS can alleviate the H2O2-induced oxidative injury of 661W retinal photoreceptor cells, and the effects are related to the down-regulation of ANGPTL4 expression.

Objective: To explore the characteristics of the diversity and composition of oral microbial flora with age, and to provide a reference for understanding the succession of oral microecology at different ages. Methods: Oral rinse 16S rRNA (V4 region) sequencing data from 9 021 participants 14-69 years of age in the 2009-2012 National Health and Nutrition Examination Survey (NHANES) were analyzed. Alpha diversity (Observed OTUs, Faith’s PD, Shannon Index), beta diversity (Bray-Curtis and UniFrac), and genus-level composition were examined using weighted generalized linear models (GLMs), including quadratic terms for age and adjusting for key covariates (gender, race/ethnicity, BMI, smoking status, and periodontitis severity). Results: Alpha diversity demonstrated a clear inverted U-shaped trajectory across age, peaking at 25-30 years old and declining thereafter. This trend remained consistent across sex, race, smoking, and periodontal health strata. Beta diversity analyses revealed a modest but steady age-related shift in community structure. Genus-level analyses revealed that Rothia, Prevotella_6, and Lactobacillus increased steadily with age, while Haemophilus, Porphyromonas, and Corynebacterium declined significantly. Notably, potential periodontopathogens, such as Fusobacterium and Treponema_2, peaked in early adulthood before declining with age. Conclusion Age is an important driver of oral microbial succession, and the oral microbiome exhibits dynamic changes across different life stages. Future longitudinal and multi-omic studies are warranted to elucidate the mechanisms underlying these age-related trajectories.

Large language models (LLMs) offer a modern approach to help inherit traditional Chinese medicine (TCM). This article discussed the progress of LLM applications in TCM and proposed future development directions by reviewing the existing research. We have found that LLMs and related technologies have excellent applications and performance in the management of TCM knowledge and data. They are often applied in information extraction, knowledge graph construction, and data standardization processing. However, data quality and security issues need to be given more attention. In clinical diagnosis and treatment, LLMs can imitate the thinking of TCM by disassembling and reconstructing its diagnostic process and can achieve functions such as prescription recommendation and question and answer (Q&A). However, this approach involves LLMs making inferences and predictions based on existing corpora and thus may not flexibly handle complex environments and tasks. Moreover, the current evaluation criteria for TCM LLMs can be summarized into 3 categories: general evaluation metrics, technical framework evaluation, and evaluation criteria for the characteristics of TCM (such as consistency rates of prescriptions and diagnostic suggestions). However, the lack of a unified and standardized evaluation system hinders the clinical application of TCM LLMs. The future progress of TCM LLMs should focus on the 3 aforementioned critical aspects to achieve technological breakthroughs. In addition, we are promoting the research on vertical TCM LLMs and application terminals. We believe this will bring new ideas to the research on TCM LLMs.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

OBJECTIVE To study the quality standard of the ethnic medicine Diplazium lanceum， and to provide reference for its quality control.METHODS The medicinal material of D. lanceum was identified by properties， microscopy， and thin-layer chromatography（TLC）， and its moisture， ash， and extract contents were determined. The contents of chlorogenic acid and rutin in 10 batches of D. lanceum were determined by high-performance liquid chromatography . RESULTS The rhizome of D. lanceum is slender and creeping， the leaf is leathery and shriveled， and yellow sporangia are borne on the abaxial surface of the leaf. The transverse section of the leaf shows inclusions， sclerenchyma， phloem cells， etc.； the transverse section of the petiole shows ground tissue， sclerenchyma， endodermis， etc.； the transverse section of the rhizome shows ground tissue， tracheids， vascular bundles， etc.； and the powder shows spiral vessels and brown inclusions. The TLC identification results showed that the chromatogram of the test sample exhibited spots of the same color at the corresponding positions as the chromatogram of the chlorogenic acid reference substance. The content ranges of moisture， total ash， acid-insoluble ash， extract， chlorogenic acid， and rutin in the 10 batches of samples were 10.18%-12.43%， 7.08%-19.12%， 0.95%-10.62%， 14.13%-26.05%， 0.113 1-1.015 9 mg/g， and 0.009 9-0.208 9 mg/g， respectively. CONCLUSIONS In the quality standard of D. lanceum， the moisture content should be ≤12.5%， total ash content should be ≤20.0%， acid-insoluble ash content should be ≤11.0%， extract content should be ≥14.0%， and chlorogenic acid content should be ≥0.11 mg/g. The established method is simple， specific， and reproducible， and can provide a scientific basis for the quality control of D. lanceum.

The compilation explanation for the Expert Consensus on Clinical Application of Ruyi Zhenbao pills systematically expounds the formulation methods and evidence-based basis of this consensus. In response to the weak clinical application evidence and ambiguous indications of Ruyi Zhenbao pills， the Institute of Basic Research in Clinical Medicine of China Academy of Chinese Medical Sciences， Wangjing Hospital of China Academy of Chinese Medical Sciences， and Dongzhimen Hospital of Beijing University of Chinese Medicine invited 39 experts from 31 medical institutions across China to complete the compilation through multi-disciplinary collaboration. The compilation strictly adheres to the World Health Organization （WHO） guidelines for guideline development and the GRADE evidence grading system. The work process covered the construction of clinical questions （a total of 30 clinical questions were determined based on expert voting results）， evidence retrieval （covering Chinese and English databases and gray literature）， safety assessment （integrating drug monitoring data and clinical research）， and the formation of recommendation opinions and consensus suggestions （18 recommendation opinions were reached through the GRADE grid method， and 22 consensus suggestions were reached through majority voting rules）. The results show that the consensus clearly states that this medicine is suitable for knee osteoarthritis， gouty arthritis， rheumatoid arthritis， neuropathic pain， and sequelae of stroke. In terms of safety， the adverse reactions are mainly gastrointestinal reactions such as nausea， vomiting， and abdominal pain. Pregnant women and those allergic to the ingredients of this medicine are contraindicated. The compilation process underwent three rounds of expert reviews and adopted methods such as nominal group technique and Delphi method to ensure the rigor of the consensus compilation process. It provides a paradigm for the formulation of expert consensus on clinical application of Tibetan medicine through the academic promotion and dynamic revision.

Objective: Blood donor selection criteria provide the core framework for assessing whether a prospective donor is suitable to donate blood, with the dual aim of protecting donor health and recipient safety while supporting a sufficient and accessible blood supply. Over the past century, with the establishment of blood banking systems and the progressive identification of transfusion-transmissible pathogens, health questionnaires, physical assessment and laboratory testing have become integral parts of the donor selection process, contributing to the safe, reliable and effective operation of blood services. In recent decades, advances in science and technology, together with a deeper understanding of human physiology, disease risk and transfusion safety, have made it necessary to systematically re-examine the scientific basis, necessity and appropriateness of existing donor selection criteria. As an introductory commentary to this series on whole-blood interdonation intervals and the upper age limit for blood donation, this article discusses the rationale underlying the establishment and dynamic adjustment of donor selection criteria. Drawing on the relevant expert consensus statements in this series and an overview of multicenter real-world studies from China, it explores the balance between donor safety and blood supply sufficiency and proposes future directions for optimizing donor selection criteria in China through local adaptation of policies, evidence-informed decision-making, and pilot evaluation.

Objective: Some regions in China have lowered the minimum interval for whole blood donation to 3 months through local regulations: Hainan, effective from March 1, 2012, allows men to donate at intervals of≥3 months and women at intervals of≥4 months; Shenzhen, effective from November 1, 1995, allows whole blood donation at intervals of≥3 months. The aim of this study was to evaluate the impact of shortening the whole blood donation interval on blood donation adverse reactions and donation behavior, thereby providing scientific evidence for policy evaluation and revision of relevant regulations. Methods: This was a multicenter, retrospective cohort study based on blood donation registry data from Shenzhen and Hainan. Data were obtained from the blood information management systems of Hainan Province (1991-2025) and Shenzhen City (2018-2024). Eligible participants were donors aged 18-65 years who had donated whole blood at least twice and met health eligibility criteria. The exposure was defined as a shorter donation interval (whole-blood interval≥3 months and<6 months) and was treated as a time-varying variable. The primary outcome was blood donation adverse reactions. Negative binomial regression with person-years as an offset was used to estimate incidence rate ratios for adverse reactions. Marginal standardization was used to estimate the adjusted incidence rate difference, and donor-level bootstrap resampling was used to estimate the 95% confidence interval of the adjusted incidence rate difference. Non-inferiority was assessed by comparing the upper limit of the 95% confidence interval with the prespecified non-inferiority margin of Δ=0.00 070 per person-year. In addition, Andersen-Gill models were used to analyze adverse reaction-free probability for recurrent events. Secondary outcomes were donation behavior, including annual repeat donation rate, annual donation frequency, mean donation interval, and annual whole-blood donation volume. These were analyzed using logistic regression, negative binomial regression, and linear regression models, respectively, with adjustment for age, sex, region, and donation site. This study was approved by the Ethics Committee of the Institute of Blood Transfusion, Chinese Academy of Medical Sciences (Approval No.2025011) and registered in the Chinese Clinical Trial Registry (ChiCTR2500114968). Results: A total of 375 075 repeat whole-blood donors were included, contributing 1 292 748 whole-blood donations. Among them, 119 993 had ever donated at a shorter interval and 255 082 had never done so. Over 1 281 842 person-years of follow-up in the dynamic cohort, 2 100 blood donation adverse reactions were recorded. The incidence rates of adverse reactions were 1.76 and 1.58 per 1 000 person-years in the ever-short interval and never-short interval groups, respectively. After adjustment for age, sex, province, and donation site, the ever-short interval group had a slightly higher adverse reaction rate than the never-short interval group (IRR=1.28, 95%CI: 1.15-1.41, P<0.001). Marginal standardization showed that the adjusted incidence rates were 1.73 and 2.21 per 1 000 person-years in the never-short interval and ever-short interval groups, respectively. The adjusted incidence rate difference was 0.000 48 per person-year, with a bootstrap 95%CI of 0.000 26-0.000 69 per person-year; the upper limit of the 95%CI was below the prespecified non-inferiority margin. Andersen-Gill recurrent-event analysis showed that the ever-short interval group had a higher probability of remaining adverse reaction-free. Analysis of donation behavior showed that among donors followed for at least 365 days, the ever-short interval group had a higher annual repeat donation rate than the never-short interval group (74.2% vs 18.3%; adjusted OR=12.5, 95%CI: 12.3-12.7, P<0.001). They also had a higher annual whole-blood donation rate (adjusted RR=1.98, 95%CI: 1.97-1.98, P<0.001), a shorter mean whole-blood donation interval (β=-239 days, 95%CI: -242 to -237 days, P<0.001), and a higher annual whole-blood donation volume (adjusted RR=2.14, 95%CI: 2.13-2.15, P<0.001). Conclusion: Based on real-world data from repeat whole-blood donors in Shenzhen and Hainan, lowering the minimum whole blood donation interval to 3 months did not show an absolute increase in blood donation adverse reactions exceeding the prespecified margin within the scope of this outcome. Shorter whole-blood donation interval behavior was also associated with greater repeat-donation activity, higher annual donation frequency, and higher annual whole-blood donation volume. Given the observational nature of this study and the lack of long-term donor health indicators such as iron status and longitudinal hemoglobin changes, the long-term safety of setting the minimum whole blood donation interval at 3 months requires further evaluation.

Objective To propose a framework for risk assessment and stepwise management of pulmonary nodules based on existing guidelines and key studies, and to clarify the boundaries for triage, workup escalation, and referral in different detection scenarios. Methods A problem-oriented evidence synthesis approach was used, prioritizing Chinese expert consensus, Fleischner Society Guidelines, British Thoracic Society (BTS) Guidelines, and Lung-RADS. This was supplemented by studies on risk models, imaging measurements, liquid biopsy, tissue sampling, and surgical treatments. This paper is not presented as a formal consensus or a validated clinical pathway. Results A three-tiered framework consisting of basic non-invasive assessment, advanced assessment, and invasive diagnosis was established. It specified the applicable populations, boundaries for the use of risk models, imaging review, management of conflicting results, evaluation of histopathological consistency, and post-intervention follow-up. Liquid biopsy, genetic testing, and artificial intelligence were defined as investigational or adjunctive tools. Conclusion This framework can serve as a preliminary reference for multidisciplinary teams in developing local protocols. It cannot replace applicable guidelines, pathological diagnosis, shared decision-making with patients, or real-world validation.