ObjectiveThe development trend and knowledge structure of the research on human use experience （HUE） of traditional Chinese medicine （TCM） were systematically reviewed， and the core challenges and future directions were identified. This study aims to provide reference for the construction of a scientific and feasible research and development framework and evidence transformation system. MethodsLiterature related to "human use experience" published from January 1， 2019 to July 31， 2025 was retrieved from the China National Knowledge Infrastructure （CNKI）， Wanfang， China Science and Technology Journal Database （VIP）， and PubMed databases. Bibliometric visualization was conducted using Excel， VOSviewer， and CiteSpace， followed by in-depth reading and thematic summarization of core literature. ResultsA total of 181 papers were included for bibliometric analysis， with 45 articles used for in-depth thematic mining. The analysis showed that the number of publications on HUE research has increased in a stepwise manner over the past five years. Yang Zhongqi （24 times） was the core of the author network， the journal with the highest number of publications was China Journal of Chinese Materia Medica， the institutions publishing the most articles were mainly research institutions， regulatory agencies， hospitals， and universities， high-frequency keywords included "new TCM drugs"， "real-world studies"， and "clinical comprehensive evaluation"， keyword clustering analysis formed three major clusters： Policy orientation， application fields， and methodological approaches. Thematic analysis reveals that HUE-based evaluation should be integrated throughout the research and development process， encompassing three dimensions： TCM theory， clinical value， and pharmaceutical fundamentals， with toxic herbs and compatibility contraindications being key foci. Data collection primarily relies on empirical data， while real-world data constitute the primary source for clinical research， with efficacy and safety as the shared core. Data management emphasizes quality control and statistical analysis； however， the management of bias and confounding remains a critical bottleneck in evidence transformation. In practice， HUE-based approaches have successfully supported the registration and evaluation of multiple categories of new TCM drugs. ConclusionThe research on HUE of TCM has formed a policy-driven pattern characterized by， rapid development and close link with regulatory practice. A technical framework covering the whole chain of research and development has been constructed with clinical value as the core， which provides methodological basis and strategy reference for the scientific transformation of HUE of TCM from "experience" to "evidence".

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 explore the teaching model of the "LungSmart" smart healthcare system in clinical pulmonology teaching and its effectiveness in enhancing the clinical reasoning skills of postgraduate students. Methods A single-center, single-group pretest-posttest educational intervention study was conducted among 30 postgraduate students who participated in respiratory medicine-related teaching activities and enrolled in the "LungSmart" smart healthcare course at Shanghai Pulmonary Hospital from 2024 to 2025 academic year. The course was structured around three core components, namely an AI case repository, dynamic simulation, and immediate feedback, and was delivered over 16 weeks with a total of 64 class hours. Teaching effectiveness was assessed using pretest and posttest clinical reasoning ability scores, while students’ acceptance of the course was evaluated using a 5-point Likert questionnaire. Results All 30 students completed the teaching activities and were included in the final analysis. The pretest score was (78.83±6.25) points, and the posttest score increased to (93.50±4.18) points, with a mean improvement of (14.67±7.06) points (95%CI, 12.03 to 17.30), indicating a statistically significant improvement after the intervention (t=11.37, P<0.001). A total of 30 valid questionnaires were collected at the end of the course, with a response rate of 100.0%. The overall satisfaction score was (4.67±0.15) points, and the mean scores for content satisfaction, practical value, interest stimulation, and professional competence were (4.72±0.23) points, (4.53±0.35) points, (4.72±0.39) points, and (4.75±0.43) points, respectively. Conclusion These findings suggest that the clinical teaching model based on the "LungSmart" smart healthcare system is feasible and well accepted, and may help improve postgraduate students’ clinical reasoning ability.

Background Arsenic exposure has been implicated as an important environmental contributor to pulmonary fibrosis, the pathogenesis of which is closely associated with abnormal activation of pulmonary fibroblasts. However, the specific mechanism remain incompletely understood. Objective To examine sirtuin 3 (SIRT3) expression during arsenite-induced fibrotic responses in lung fibroblasts, and to investigate its effects on aerobic glycolysis and profibrotic progression, as well as its underlying mechanisms. Methods Human embryonic lung fibroblasts (HELF) were treated with sodium arsenite (NaAsO₂) at different concentrations (0, 2.5, 5, 10, 20, 40, and 80 μmol·L⁻¹) for 48 h. Cell viability was assessed, and lactate and hydroxyproline (HYP) levels were measured as indicator of glycolytic activity and fibrotic response. Western blot and quantitative polymerase chain reaction (q-PCR) were used to determine the protein and mRNA expression levels of SIRT3, hypoxia-inducible factor 1-alpha (HIF-1α), fibrosis-related genes [Collagen type Ⅰ (Collagen-Ⅰ), and α-smooth muscle actin (α-SMA)], and glycolysis-related genes [pyruvate kinase M2 (PKM2), hexokinase 2 (HK2), and lactate dehydrogenase A (LDHA)]. Results Based on the cell viability results, the NaAsO₂ concentrations of 2.5, 5, and 10 μmol·L⁻¹ for 48 h were selected for subsequent experiments. Compared with the control group, HYP levels were significantly increased in the 2.5, 5, and 10 μmol·L⁻¹ NaAsO₂ exposure groups (P <0.05). The protein and mRNA expression levels of HIF-1α, glycolysis-related genes (PKM2, HK2, and LDHA) and fibrosis-related genes (Collagen-Ⅰ, and α-SMA) were significantly upregulated, whereas SIRT3 protein and mRNA expression levels were significantly down-regulated, in the NaAsO₂ treated groups compared with the control group (P<0.05). SIRT3 overexpression significantly reduced HYP levels and downregulated the protein and mRNA expression levels of HIF-1α, glycolysis-related genes (PKM2, HK2, and LDHA), fibrosis-related genes (Collagen-Ⅰ, and α-SMA) compared with the NaAsO₂ + negative control group (P<0.05). Similarly, HIF-1α knockdown significantly decreased HYP levels and downregulated the protein and mRNA expression levels of glycolysis-related genes (PKM2, HK2, and LDHA) and fibrosis-related genes (Collagen-Ⅰ, and α-SMA) compared with the NaAsO₂ + negative control group (P<0.05). In contrast, simultaneous overexpression of SIRT3 and HIF-1α abolished the inhibitory effects of SIRT3 overexporession, as HYP levels and the expression of glycolysis- and fibrosis-related markers showed no statistically significant differences compared with the NaAsO₂ + negative control group (P>0.05). Conclusion NaAsO₂ exposure could induce profibrotic and glycolysis-related responses in HELF cells, accompanied by SIRT3 downregulation and HIF-1α activation. These findings suggest that the SIRT3/HIF-1α regulatory axis may be a potential target for preventing or attenuating arsenic exposure-related pulmonary fibrotic responses.

Radiomics provides quantitative support for the diagnosis,treatment strategy and prognosis evaluation of brain arteriovenous malformation(bAVM)through high-throughput analysis of imaging data,and it also shows significant advantages in clinical symptom prediction,personalized treatment and clinical outcome prediction.Emerging imaging techniques,such as blood oxygen level-dependent cerebrovascular reactivity imaging and ultrasound technology,provide a new perspective for evaluating the hemodynamic changes and epilepsy susceptibility associated with bAVM.In addition,advances in deep learning algorithms in automatic segmentation of bAVM lesions have greatly improved the accuracy and efficiency of segmentation.With the continuous progress of imaging technology,data analysis algorithms and software,radiomics is expected to play a greater role in precision medicine and individualized treatment,bringing better diagnosis and treatment services and better treatment effects for bAVM patients.

BackgroundPrevious studies have identified a close relationship among psychological neglect and abuse， negative affect， different stages of adolescence， and suicidal ideation. However， the mechanisms underlying the impact of psychological abuse and neglect on suicidal ideation among left-behind adolescents remain unclear， and this field of research is still in its relative infancy. ObjectiveTo explore the relationship between psychological neglect/abuse and suicidal ideation among left-behind adolescents， as well as the mediating role of negative affect and the moderating effect of different stages of adolescence， so as to provide insights for preventing and intervening suicidal ideation in this population. MethodsFrom November 2021 to May 2022， a cluster random sampling technique was utilized to select 2 309 left-behind adolescents in western China. Assessments were conducted using the Child Psychological Abuse and Neglect Scale （CPANS）， the Positive and Negative Suicide Ideation （PANSI） and the Positive and Negative Affect Schedule for Children （PANAS-C）. Spearman correlation coefficients were calculated across all samples， and Process 4.1 was employed to test the mediating role of negative affect and the moderating role of different stages of adolescence in the pathway linking psychological abuse/neglect to suicidal ideation. ResultsA total of 2 119 left-behind adolescents （mean age： 14.94±1.20 years） completed the study， with males comprising 51.34% （1 088/2 119） and females 48.66% （1 031/2 119）.Among left-behind adolescents， scores on CPANS psychological neglect subscale showed positive correlations with both psychological abuse subscale scores and PANAS-C negative affect subscale scores （r=0.446， 0.496， P<0.01）. Additionally， CPANS psychological neglect and psychological abuse subscale scores were also positively correlated with PANSI scores （r=0.487， 0.508， P<0.01）. Furthermore， PANAS-C negative affect subscale scores demonstrated a positive correlation with PANSI scores （r=0.499， P<0.01）. Negative affect partially mediated the relationship between psychological abuse/psychological neglect and suicidal ideation， with effect sizes of 0.166 （95% CI： 0.141~0.191） and 0.131 （95% CI： 0.112~0.152）. Different stages of adolescence moderated the latter part （negative emotion → suicidal ideation） of the indirect mediation path from psychological neglect to suicidal ideation through negative affect （β=-0.066， P<0.01）. ConclusionBoth psychological neglect and psychological abuse may influence suicidal ideation among left-behind adolescents via negative affect. Moreover， different stages of adolescence may moderate the indirect path from psychological neglect to suicide ideation through negative affect.

Objective:To investigate the additional value of 99Tc m-hydrazinonicotinamide (HYNIC)-Tyr3-octreotide (TOC) SPECT/CT imaging in the diagnosis and treatment of gastroenteropancreatic neuroendocrine tumors (GEP-NETs). Methods:A total of 54 patients (28 males and 26 females, age: (52.6±11.7) years) who underwent enhanced CT (MR) and 99Tc m-HYNIC-TOC SPECT/CT in People′s Hospital of Zhengzhou University between December 2017 and June 2023 were analyzed retrospectively. Surgical pathology or biopsy was the gold standard of patients′ diagnosis (primary tumors), and comprehensive evaluation based on pathology, imaging and follow-up results was used as the diagnostic criteria of lesions. McNemar χ2 test was used to compare the diagnostic efficacy of different imaging methods. Results:Pathological results showed that 43 of the 54 patients were with GEP-NETs and 11 were with non-neuroendocrine tumors (NETs). The sensitivities of enhanced CT and enhanced MR in the diagnosis of patients with GEP-NETs were 65.1%(28/43) and 60.0%(15/25) respectively, which increased to 93.0%(40/43) and 92.0%(23/25) with the addition of 99Tc m-HYNIC-TOC imaging ( χ2 values: 8.64, 4.90, P values: 0.002, 0.021). There were 22 and 15 patients showing atypical enhancement on enhanced CT and enhanced MR respectively. The sensitivities of these two methods for GEP-NETs in patients with atypical enhancement were 54.5%(12/22) and 8/15 respectively, which increased to 95.5%(21/22) and 14/15 with the addition of 99Tc m-HYNIC-TOC imaging ( χ2 values: 5.82, 4.17, P values: 0.012, 0.031). Compared with enhanced CT, the detection rates of liver and bone metastatic lesions were improved significantly from 90.8%(158/174) and 55.2%(32/58) to 96.6%(168/174) and 87.9%(51/58) with the addition of 99Tc m-HYNIC-TOC imaging ( χ2 values: 5.79, 9.82, P values: 0.013, 0.001). Compared with enhanced MR, the detection rate of bone metastases was improved significantly from 56.0%(14/25) to 88.0%(22/25) with the addition of 99Tc m-HYNIC-TOC imaging ( χ2=4.08, P=0.039). After 99Tc m-HYNIC-TOC imaging, stages were changed in 7.0%(3/43) of patients and a greater number or extent of metastases were detected in 11.6%(5/43) of patients. 99Tc m-HYNIC-TOC imaging detected additional recurrent or metastatic lesions in 40.0%(8/20) of patients during follow-up compared to enhanced CT. Conclusion:99Tc m-HYNIC-TOC imaging can provide an added value for diagnosing GEP-NETs with atypically enhanced CT(MR), and in the detection of liver metastasis and early bone metastasis, thus helping the optimization of clinical treatment strategies.

Poly(ADP-ribosyl)ation (PARylation) is a specific form of post-translational modification (PTM) predominantly triggered by the activation of poly-ADP-ribose polymerase 1 (PARP1). However, the role and mechanism of PARylation in the advancement of acute kidney injury (AKI) remain undetermined. Here, we demonstrated the significant upregulation of PARP1 and its associated PARylation in murine models of AKI, consistent with renal biopsy findings in patients with AKI. This elevation in PARP1 expression might be attributed to trimethylation of histone H3 lysine 4 (H3K4me3). Furthermore, a reduction in PARylation levels mitigated renal dysfunction in the AKI mouse models. Mechanistically, liquid chromatography-mass spectrometry indicated that PARylation mainly occurred in receptor for activated C kinase 1 (RACK1), thereby facilitating its subsequent phosphorylation. Moreover, the phosphorylation of RACK1 enhanced its dimerization and accelerated the ubiquitination-mediated hypoxia inducible factor-1α (HIF-1α) degradation, thereby exacerbating kidney injury. Additionally, we identified a PARP1 proteolysis-targeting chimera (PROTAC), A19, as a PARP1 degrader that demonstrated superior protective effects against renal injury compared with PJ34, a previously identified PARP1 inhibitor. Collectively, both genetic and drug-based inhibition of PARylation mitigated kidney injury, indicating that the PARylated RACK1/HIF-1α axis could be a promising therapeutic target for AKI treatment.

Lirispirolides A-L (1-12), twelve novel sesquiterpene-monoterpene heterodimers featuring distinctive carbon skeletons, were isolated from the branches and leaves of Chinese tulip tree [Liriodendron chinense (L. chinense)], a rare medicinal and ornamental plant endemic to China. The structural elucidation was accomplished through comprehensive spectroscopic analyses, quantum-chemical calculations, and X-ray crystallography. These heterodimers exhibit a characteristic 2-oxaspiro[4.5]decan-1-one structural motif, biosynthetically formed through intermolecular [4 + 2]-cycloaddition between a germacrane-type sesquiterpene and an ocimene-type monoterpene. The majority of the isolated compounds demonstrated significant anti-neuroinflammatory effects in lipopolysaccharide (LPS)-induced BV-2 microglial cells by reducing the production of pro-inflammatory mediators, specifically tumor necrosis factor-α (TNF-α) and nitric oxide (NO). Further investigation revealed that the lirispirolides' inhibition of NO release correlated with decreased messenger ribonucleic acid (mRNA) expression of inducible NO synthase (iNOS).
Sesquiterpenes/isolation & purification* ; Anti-Inflammatory Agents/isolation & purification* ; Animals ; Mice ; Tumor Necrosis Factor-alpha/genetics* ; Nitric Oxide/immunology* ; Microglia/immunology* ; Molecular Structure ; Liriodendron/chemistry* ; Monoterpenes/isolation & purification* ; Plants, Medicinal/chemistry* ; Cell Line ; Lipopolysaccharides ; Nitric Oxide Synthase Type II/immunology* ; Plant Extracts/pharmacology* ; China

Flavonoid 3-O-glucosyltransferase (3GT) is a key enzyme in the glucosidation of anthocyanins. To investigate the 3GT gene in rhododendron, we cloned an open reading frame (ORF) of 3GT gene (named Rh3GT) from Rhododendron hybridum Hort (Red cultivar) and then characterized this gene and the deduced protein in terms of the biochemical characteristics, expression level, and enzymatic function. The results showed that Rh3GT had a full length of 993 bp and encoded 330 amino acid residues. The deduced protein was hydrophilic, stable, weak acid, belonging to the glycosyltransferase family (GT-B type), with glutamine (Q) at position 44 in the PSPG box. The phylogenetic analysis showed that Rh3GT was most closely related to Vc3GT from Vaccinium corymbosum and Vm3GT from Vaccinium myrtillus. Rh3GT was expressed in the stems, leaves, and flowers and almost not expressed in the roots, with the highest expression level in petals during full blooming stage. Introduction of pCAMBIAL1302-Rh3GT into petals significantly up-regulated the expression level of Rh3GT and increased the total anthocyanin accumulation. Rh3GT was successfully expressed in Escherichia coli BL21 in the form of inclusion bodies with a size of about 36 kDa. The results of HPLC showed that the recombinant Rh3GT after denaturation, purification, and dilution could catalyze the synthesis of cyanidin and UDP-glucose to synthesize cyanidin 3-O-glucoside, indicating that the expressed protein had 3GT activity. This study provides basic data for further studying the molecular regulation mechanism of anthocyanin biosynthesis and theoretical support for molecular breeding of rhododendron.
Rhododendron/classification* ; Glucosyltransferases/metabolism* ; Cloning, Molecular ; Escherichia coli/metabolism* ; Recombinant Proteins/biosynthesis* ; Anthocyanins/biosynthesis* ; Phylogeny ; Plant Proteins/metabolism* ; Amino Acid Sequence