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.

The chemical constituents in dried roots of Atractylodes macrocephala were investigated in this study. Through utilizing normal-phase silica gel and ODS column chromatography, TLC, and semi-preparative HPLC, 4 new sesquiterpenoids were purified from the ethyl acetate extract of A. macrocephala. By various spectroscopic techniques, such as 1D and 2D NMR, HR-ESI-MS, IR, UV, and CD, their structures were identified as atractylmacron A (1), 9β-hydroxyasterolide (2), atractylenolide H (3), atractylenolide J (4). Compound 1 possesses a rare 6/7 bicyclic skeleton.

OBJECTIVE To investigate the effect and mechanism of Jingangteng capsules in the treatment of non-alcoholic fatty liver disease （NAFLD）. METHODS Thirty-two SD rats were randomly divided into normal group and modeling group. The modeling group was fed a high-fat diet to establish a NAFLD model. The successfully modeled rats were then randomly divided into model group， atorvastatin group[positive control， 2 mg/（kg·d）]， and Jingangteng capsules low- and high-dose groups [0.63 and 2.52 mg/（kg·d）]， with 6 rats in each group. The pathological changes of the liver were observed by hematoxylin-eosin staining and oil red O staining. Enzyme-linked immunosorbent assay was performed to determine the serum levels of triglycerides （TG）， total cholesterol （TC）， high-density lipoprotein cholesterol （HDL-C）， low-density lipoprotein cholesterol （LDL-C）， alanine transaminase （ALT）， aspartate transaminase （AST）， tumour necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， IL-6， IL-18. 16S rDNA amplicon sequencing and metabolomics techniques were applied to explore the effects of Jingangteng capsules on gut microbiota and metabolisms in NAFLD rats. Based on the E-mail：591146765@qq.com metabolomics results， Western blot analysis was performed to detect proteins related to the nuclear factor kappa-B （NF-κB）/NOD-like receptor family protein 3 （NLRP3） signaling pathway in the livers of NAFLD rats. RESULTS The experimental results showed that Jingangteng capsules could significantly reduce the serum levels of TG， TC， LDL-C， AST， ALT， TNF-α， IL-1β， IL-6， IL-18， while increased the level of HDL-C， and alleviated the hepatic cellular steatosis and inflammatory infiltration in NAFLD rats. They could regulate the gut microbiota disorders in NAFLD rats， significantly increased the relative abundance of Romboutsia and Oscillospira， and significantly decreased the relative abundance of Blautia （P＜0.05）. They also regulated metabolic disorders primarily by affecting secondary bile acid biosynthesis， fatty acid degradation， O-antigen nucleotide sugar biosynthesis， etc. Results of Western blot assay showed that they significantly reduced the phosphorylation levels of NF-κB p65 and NF-κB inhibitor α， and the protein expression levels of NLRP3， caspase-1 and ASC （P＜0.05 or P＜0.01）. CONCLUSIONS Jingangteng capsules could improve inflammation， lipid accumulation and liver injury in NAFLD rats， regulate the disorders of gut microbiota and metabolisms， and inhibit NF-κB/NLRP3 signaling pathway. Their therapeutic effects against NAFLD are mediated through the inhibition of the NF-κB/NLRP3 signaling pathway.

ObjectiveTo observe the clinical effectiveness and potential mechanism of combined tongue three-needle acupuncture and acupoint application on Lianquan （CV 23） for patients with dysphagia after ischemic stroke. MethodsA prospective study was conducted on 160 patients with post-stroke dysphagia， who were randomly divided into a treatment group and a control group， with 80 cases in each group. The control group received conventional rehabilitation training， while the treatment group received tongue three-needle acupuncture combined with acupoint application on Lianquan （CV 23） on the basis of conventional rehabilitation training， for 4 weeks in both groups. We compared the clinical effectivenss of both groups after treatment， and assessed the swallowing function including videofluoroscopic swallowing study （VFSS）， standardized swallowing assessment （SSA） and functional oral intake scale （FIOS）， swallowing contrast test including hyoid maximum displacement （HmaxD）， pharyngeal transit time （PTT）， and upper esophageal sphincter （UES） opening， surface electromyography （sEMG） test including maximum amplitude and swallowing duration as well as swallowing quality of life questionnaire （SWAL-QOL） score of the patients in both groups before treatment， after 2 weeks and 4 weeks of treatment， respectively. ResultsThe total effective rate in treatment group was 82.50% （66/80）， significantly higher than 66.25% （53/80） in control group （P＜0.05）. The VFSS， and FOIS scores， UES opening rate and HmaxD， sEMG maximal amplitude values， and SWAL-QOL scores were increased in both groups after 2 weeks and 4 weeks of treatment compared with the values before treatment （P＜0.05）， while SSA scores， PTT， and swallowing duration were decreased compared within group before treatment （P＜0.05）. VFSS and FOIS scores， UES opening rate and HmaxD， sEMG maximal amplitude values， and SWAL-QOL scores after 2 and 4 weeks of treatment in the treatment group were higher （P＜0.05）， while SSA scores， PTT， and swallowing duration were lower （P＜0.05） than those in the control group at the same time. ConclusionCombined tongue three-needle acupuncture and acupoint application on Lianquan （CV 23） for patients with dysphagia after ischemic stroke can significantly improve swallowing activities， and its mechanism of action may be related to the improvement of the contraction ability and coordination of swallowing-related muscle groups.

Objective To analyze the differences in distribution of traditional Chinese medicine (TCM) syndrome elements and salivary microbiota between the individuals with pulmonary nodules and those without, and to explore the potential correlation between the distribution of TCM syndrome elements and salivary microbiota in patients with pulmonary nodules. Methods We retrospectively recruited 173 patients with pulmonary nodules (PN) and 40 healthy controls (HC). The four diagnostic information was collected from all participants, and syndrome differentiation method was used to analyze the distribution of TCM syndrome elements in both groups. Saliva samples were obtained from the subjects for 16S rRNA high-throughput sequencing to obtain differential microbiota and to explore the correlation between TCM syndrome elements and salivary microbiota in the evolution of the pulmonary nodule disease. Results The study found that in the PN group, the primary TCM syndrome elements related to disease location were the lung and liver, and the primary TCM syndrome elements related to disease nature were yin deficiency and phlegm. In the HC group, the primary TCM syndrome elements related to disease location were the lung and spleen, and the primary TCM syndrome elements related to disease nature were dampness and qi deficiency. There were differences between the two groups in the distribution of TCM syndrome elements related to disease location (lung, liver, kidney, exterior, heart) and disease nature (yin deficiency, phlegm, qi stagnation, qi deficiency, dampness, blood deficiency, heat, blood stasis) (P<0.05). The species abundance of the salivary microbiota was higher in the PN group than that in the HC group (P<0.05), and there was significant difference in community composition between the two groups (P<0.05). Correlation analysis using multiple methods, including Mantel test network heatmap analysis and Spearman correlation analysis and so on, the results showed that in the PN group, Prevotella and Porphyromonas were positively correlated with disease location in the lung, and Porphyromonas and Granulicatella were positively correlated with disease nature in yin deficiency (P<0.05). Conclusion The study concludes that there are notable differences in the distribution of TCM syndrome elements and the species abundance and composition of salivary microbiota between the patients with pulmonary nodules and the healthy individuals. The distinct external syndrome manifestations in patients with pulmonary nodules, compared to healthy individuals, may be a cascade event triggered by changes in the salivary microbiota. The dual correlation of Porphyromonas with both disease location and nature suggests that changes in its abundance may serve as an objective indicator for the improvement of symptoms in patients with yin deficiency-type pulmonary nodules.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

ObjectiveTo compare the effects of Taxillus chinensis from different hosts with different meridian affinity on bone microstructure and bone metabolism in ovariectomized osteoporotic rats， and investigate its mechanism of action. MethodEighty-eight specific-pathogen-free （SPF）-grade female Sprague-Dawley （SD） rats were selected and randomly divided into 11 groups： sham-operated group， model group， low-， medium- and high-dose groups of T. chinensis from Morus alba （2.5， 5， and 10 g·kg^-1）， low-， medium- and high-dose groups of T. chinensis from Cinnamomum cassia （2.5， 5， and 10 g·kg^-1）， and low-， medium- and high-dose groups of T. chinensis from C. burmannii （2.5， 5， and 10 g·kg^-1）. After 12 weeks of drug intervention， the rats were examined for proximal femur bone density and bone microstructure using dual-energy X-ray absorptiometry （DXA） and micro-computed tomography （Micro-CT）. Histopathological changes in rat femur were observed by the hematoxylin-eosin staining （HE）. Contents of serum estradiol （E₂）， bone Gla protein （BGP）， bone alkaline phosphatase （BALP）， tartrate-resistant acid phosphatase 5b （TRACP-5b） and pre-collagen type Ⅰ amino-terminal protopeptide （PINP） were measured by the enzyme-linked immunosorbent assay （ELISA）. Real-time quantitative polymerase chain reaction （Real-time PCR） was employed to detect the messenger ribonucleic acid （mRNA） expressions of bone morphogenetic protein-2 （BMP-2）， Smad1， Smad9 and recombinant runt-related transcription factor 2 （Runx2） in rat humerus. Western blot was used to detect the protein expressions of BMP-2， p-Smad1/5/9 and Runx2 in rat humerus. ResultCompared with that in the sham-operated group， the femur microstructure of rats in the model group was significantly disrupted， with significant decreases in bone mineral density （BMD） value， bone volume fraction （BV/TV）， trabecular number （Tb.N）， and trabecular thickness （Tb.Th） （P<0.01）， and significant increases in trabecular separation （Tb.Sp） and structure model index （SMI） （P<0.01）. The serum levels of BGP， BALP， TRACP-5b and PINP were significantly increased （P<0.05， P<0.01）， and E₂ levels were significantly decreased （P<0.01）. The mRNA expressions of BMP-2， Smad1， Smad9， and Runx2 were significantly decreased in rat humerus （P<0.01）， and the protein expressions of BMP-2， p-Smad1/5/9， and Runx2 were significantly reduced （P<0.01）. Compared with the model group， the administration groups of T. chinensis from different hosts all elevated the BMD， BV/TV， Tb.N， Tb.Th， Tb.Sp， and SMI levels in the femur， improved bone microstructure， increased serum E₂ levels （P<0.05， P<0.01）， lowered the levels of serum BGP， BALP， TRACP-5b， and PINP， upregulated the mRNA expression of BMP-2， Smad1， and Runx2 and upregulated the mRNA expression levels of Smad9 （P<0.05， P<0.01）， and upregulated the protein expressions levels of BMP-2， p-Smad1/5/9， and Runx2 （P<0.01）. The best effect was observed in the group of T. chinensis from C. cassia. ConclusionT. chinensis from different hosts improved osteoporosis in ovariectomized rats， with the group of T. chinensis from C. cassia being the most potent among the administered groups， and its treatment of osteoporosis may regulate the balance of bone conversion by regulating BMP/Smad signaling pathway.