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.

Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

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.

OBJECTIVE: To explore clinical efficacy of membrane-induced technique combined with gastrocnemius muscle flap transposition in treating traumatic osteomyelitis of the upper tibia. METHODS: A retrospective analysis was conducted on 7 patients with traumatic osteomyelitis of the upper tibia who were treated with membrane-induced technique combined with gastrocnemius muscle flap transposition from January 2022 to December 2023. Among them, there were 4 males and 3 females; aged from 29 to 57 years old; 4 patients were treated after open fracture, 2 patients were treated after closed fracture, and 1 patient was treated after scalding; the courses of disease ranges from 2 weeks to 8 years; sinus tracts were present in all patients, and the lesion range of the tibia ranged from 5 to 9 cm. The results of deep tissue bacterial culture showed that 2 patients were negative, 3 patients were staphylococcus aureus, 1 patient was methicillin-resistant staphylococcus aureus, and 1 patient was pseudomonas aeruginosa and 1 patient was klebsiella pneumoniae. After debridement, the range of bone defect ranged from 8 to 12 cm, and the cortical defect accounted for approximately 30% of the circumference. The area of soft tissue defect ranged from 8.0 cm×2.0 cm to 10.0 cm×6.0 cm. At the first stage, vancomycin-loaded/meropenem/gentamicin-loaded bone cement was implanted. The gastrocnemius muscle flap was repositioned to cover the wound surface and free skin grafting was performed. After an interval of 7 to 10 weeks, the stageⅡsurgery was performed to remove bone cement. Autologous iliac bone mixed with vancomycin/gentamicin and calcium sulfate artificial bone was transplanted, and the wound was sutured. One patient retained the original internal plants, one patient removed the internal plants and replaced them with steel plate external fixation, one patient replaced the internal plants and added steel plate external fixation, and three patients were simply fixed with steel plate external fixation. One year after operation, the recovery of knee joint and ankle joint functions was evaluated by using Hospital for Special Surgery (HSS) knee joint score and Kofoed ankle joint function score respectively. RESULTS: All patients had their wounds closed simultaneously with bone cement implantation and healed well. All patients were followed up for 12 to 17 months after operation, and satisfactory bone healing was achieved at 6 months after stageⅡsurgery. Twelve months after operation, all patients had good bone healing without obvious limping was observed when walking. At 12 months after operation HSS knee joint score ranged from 93 to 100 points, and Kofoed ankle function score ranged from 96 to 100 points. CONCLUSION For traumatic osteomyelitis of the upper tibia, a staged treatment plan combining membrane-induced technique and gastrocnemius flap transposition on the basis of thorough debridement could safely cover the wound surface, effectively control bone infection and achieve satisfactory bone healing, without adverse effects on limb function.
Humans ; Male ; Female ; Middle Aged ; Osteomyelitis/surgery* ; Adult ; Surgical Flaps ; Retrospective Studies ; Tibia/injuries* ; Muscle, Skeletal/surgery*

OBJECTIVES: To explore the clinical value of endoscopic findings under white light gastroscopy in diagnosing Helicobacter pylori (Hp) infection in children. METHODS: A retrospective analysis was conducted on the clinical data of 340 children who underwent gastroscopy and gastric mucosa tissue Hp culture from July 2022 to June 2023 in the Department of Gastroenterology at Wuxi Children's Hospital due to upper gastrointestinal symptoms. Based on the results of Hp culture, the children were categorized into an Hp-infected group (146 cases) and a non-infected group (194 cases). The detection rates of various endoscopic findings in the gastric mucosa between the two groups were compared, and the association between each endoscopic finding and different Hp infection statuses was analyzed, as well as the diagnostic value of each endoscopic finding under different Hp infection statuses. RESULTS: The proportions of white mucus, diffuse redness, mucosal edema, enlarged folds, chicken skin-like changes, and ulcers in the Hp-infected group were higher than those in the non-infected group (P<0.05), while the proportions of regular arrangement of collecting venules (RAC) and ridge-like redness were lower in the Hp-infected group compared to the non-infected group (P<0.05). Multivariate logistic regression analysis showed that diffuse redness, enlarged folds, mucosal edema, and chicken skin-like changes were closely associated with Hp infection (P<0.05), while RAC and ridge-like redness were closely associated with the absence of Hp infection (P<0.05). Receiver operating characteristic curve analysis indicated that the area under the curve for diffuse redness, enlarged folds, mucosal edema, and chicken skin-like changes in predicting Hp infection was 0.798, 0.731, 0.782, and 0.760, respectively (P<0.05). The area under the curve for RAC and ridge-like redness in predicting the absence of Hp infection was 0.861 and 0.589, respectively (P<0.05). CONCLUSIONS Endoscopic findings under white light gastroscopy are associated with Hp infection in children, with diffuse redness, mucosal edema, chicken skin-like changes, and enlarged folds showing significant diagnostic value for Hp infection.
Humans ; Helicobacter Infections/diagnostic imaging* ; Female ; Male ; Gastroscopy/methods* ; Child ; Helicobacter pylori ; Retrospective Studies ; Child, Preschool ; Adolescent ; Gastric Mucosa/pathology* ; Infant ; Logistic Models

ObjectiveThrough the correlation analysis between intestinal absorption profile and inhibition of macrophage foaming， the pharmacodynamic components of Zhuriheng dripping pills（ZRH） were explored to provide a basis for establishing its quality standard. MethodIntestinal absorption fluids with 0， 5， 10， 15， 20 times clinical equivalent doses were prepared by a rat everted gut sac（EGS）， and the oxidized low density lipoprotein（ox-LDL）-induced RAW264.7 macrophage foaming model was used to investigate the effect of intestinal absorption fluid with different doses on the accumulation of lipids in RAW264.7 cells by oil red O staining and cholesterol content determination， and to screen for the optimal dose. Ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive Orbitrap MS） was used to analyze and identify intestinal absorption fractions of ZRH intestinal absorption fluids， and partial least squares-discriminant analysis（PLS-DA） and orthogonal partial least squares-discriminant analysis（OPLS-DA） were performed on different doses of ZRH intestinal absorption fluids using SIMCA 13.0 with peak area as the independent variable and the pharmacodynamic indicators as the dependent variables to screen the compounds with variable importance in the projection（VIP） value>1.0 as contributing components， and Pearson correlation analysis was used to determine the spectral effect relationship， determined the compounds and positive correlation with pharmacodynamic were as active ingredients. Molecular docking was used to verify the binding energy of peroxisome proliferator-activated receptor α（PPARα）， PPARγ， PPARβ， human retinoid X receptor α（RXRA） and nuclear transcription factor-κB（NF-κB） with the active ingredients in ZRH intestinal absorption fluids. Real-time fluorescence quantitative polymerase chain reaction（Real-time PCR） was performed to detect the mRNA levels of PPARγ， scavenger receptor A1（SRA1） and adenosine triphosphate-binding cassette transporter A1（ABCA1） in RAW264.7 cells， Westen blot was used to detect the expression level of PPARγ protein in RAW264.7 cells， and enzyme-linked immunosorbent assay（ELISA） was used to detect the levels of interleukin（IL）-1β and NF-κB in RAW264.7 cells. ResultAccording to the results of oil red O staining and cholesterol content determination， the ZRH intestinal absorption fluids could significantly reduce macrophage foaming， and intestinal absorption fluids with 15， 20 times clinical equivalent doses had the best effect， the 15-fold ZRH intestinal absorption fluid was finally determined as the study subject. Spectral effect relationship showed that 52 corresponding peaks in the ZRH-containing intestinal fluid were positively correlated with the efficacy， including organic acids， phenylpropanoids， iridoids， flavonoids， bile acids， coumarins and chromones. Target validation results showed that 86.9%-96.2% of the total components processed good binding activities with the key targets of PPARα， PPARγ， PPARβ， RXRA and NF-κB， and the docking energy values were all less than -6.0 kcal·mol^-1（1 cal≈4.19 J）. The results of validation showed that， compared with the normal group， the model group showed a significant increase in the levels of SRA1 and PPARγ mRNA expression， a significant decrease in ABCA1 mRNA expression， a significant increase in the level of PPARγ protein expression， and a significant increase in the levels of IL-1β and NF-κB（P<0.01）， compared with the model group， the 15-fold intestinal absorption fluid group showed a significant decrease in the levels of SRA1 and PPARγ mRNA expression（P<0.05， P<0.01）， ABCA1 mRNA expression level was significantly up-regulated， the levels of IL-1β and NF-κB were significantly reduced（P<0.01）， and PPARγ protein expression level was significantly reduced（P<0.05）. ConclusionThis study identifies 52 components and their metabolites in ZRH intestinal absorption fluid that are positively correlated with the inhibition of macrophage foaming， which may be related to the regulation of the PPARs pathway in cells and the reduction of the levels of inflammatory factors， and can provide a reference for the quality control and clinical application of ZRH.

Objective To understand the molecular epidemiological characteristics of Norovirus outbreaks and the genome evolution of Norovirus epidemic strains in Hainan Province from 2020 to 2022.Methods The information and samples have been collected from the norovirus outbreaks from 2020 to 2022.Norovirus was detected by using the real-time PCR in these samples,then the detected sequences were amplified the analyzed.The Norovirus se-quences of 8 strains had been amplified and analyzed.Results From 2020 to 2022,39 gastroenteritis outbreaks were reported,and 25 outbreaks caused by Norovirus which mainly occurred in childcare institutions and schools(20/25,80％).The Norovirus outbreaks were mainly concentrated in counties around Haikou(northeast),which including Ding'an(5 cases),Wenchang(4 cases),Chengmai(4 cases),and Lingao(3 cases);following by western regions which included Baisha(2 cases),Ledong(2 cases),and Dongfang(3 cases).1 case was in Wanning in the southeast.Among individuals aged 2-17,the positive proportion of Norovirus in males was higher than that in females.Among individuals aged over 55,the proportion of Norovirus positive in females was higher than that in males.The gender of positive samples among individuals aged 18-40 was related to their profession.According to RT-PCR typing and sequencing,GⅡ group Norovirus were classified in13 outbreaks.There were 4 genotypes detected.GⅡ.2[P1 6]was the main epidemic strain with 60％(9/13),and the other three genotypes were GⅡ.4 Sydney[P31](15.4％,2/13)GⅡ.4 Sydney[P16](7.7％,1/13)and GⅡ.3[P12](7.7％,1/13).Further genic analysis of 8 Norovirus strains showed that all of them were still in the same branch as the previ-ous strain,and all exhibited a certain amount of amino acid variation.Conclusion Norovirus is the main pathogen of gastroenteritis outbreaks in Hainan province,and the main epidemic strain is GⅡ.2[P16].It is necessary to continue to strengthen the monitoring that provides scientific evidence for the prevention and control of norovirus out-breaks in Hainan region.

Obiective Alzheimer’s disease (AD) is a degenerative disease of the central nervous system (CNS) caused by a variety of risk factors. There are various pathological changes, but apoptosis of the neurological meridian cells is one of the most important pathological bases. Hyperlipidemia is a high-risk factor for the development of AD, which can lead to increased levels of oxidized low-density lipoprotein (ox-LDL) in brain tissues. PCSK9 is a protease closely related to lipid metabolism, but studies have shown that it may be related to the development of AD. LRP1 is abundantly expressed in neuronal cells, and it is an important transporter for the clearance of Aβ. There is now a large amount of literature confirming that PCSK9 can induce the degradation of LRP1. PI3K/AKT is an important signaling pathway in vivo, which plays an important role in apoptosis, and there is now a large amount of literature confirming that LRP1 activates the PI3K/AKT pathway, which has an anti-apoptotic effect. So can PCSK9 affect the PI3K/AKT pathway through LRP1 and thus regulate neuronal apoptosis? This deserves further investigation.The aim of this study was to explore the role of PCSK9 in mediating ox-LDL pro-apoptotic neuronal cell death and its mechanism, and then further elaborate the mechanism of hyperlipidemia leading to neurodegenerative diseases such as AD. MethodsFirstly, PC12 cells were treated with different concentrations of ox-LDL (0, 25, 50, 75 and 100 mg/L) for 24 h. Oil red O staining was used to detect lipid accumulation in PC12 cells, Hoechst33258 staining and flow cytometry to detect apoptosis in PC12 cells, ELISA to detect the content of Aβ secreted by PC12, Western blot to detect expression of SREBP2, PCSK9 and LRP1. Then PC12 cells were treated with 75 mg/L ox-LDL for different times (0, 6, 12, 24, 48 h), and Western blot were performed to detect the expression of SREBP2, PCSK9 and LRP1. Finally, after transfecting 100 nmol/L PCSK9 siRNA into PC12 cells for 48 h, PC12 cells were treated with 75 mg/L ox-LDL for 24 h, Hoechst33258 staining and flow cytometry to detect apoptosis rate of PC12 cells, and Western blot to detect PCSK9, LRP1, PI3K, AKT, P-PI3K , P-AKT, NF-κB, Bcl-2, Bax, Caspase-9 and Caspase-3 expression, and ELISA detected Aβ content secreted by PC12 cells. Resultsox-LDL increased lipid accumulation and promoted apoptosis and Aβ secretion in PC12 cells, as well as increasing the expression of SREBP2 and PCSK9 and decreasing the expression of LRP1 in PC12 cells. pCsk9 siRNA could be inhibited through the PI3K/AKT pathway and the NF-κB-Bcl-2/Bax-Caspase-9/3 pathway to inhibit ox-LDL-induced apoptosis in PC12 cells while increasing Aβ secretion in PC12 cells. Conclusionox-LDL plays a bidirectional regulatory role in ox-LDL-induced apoptosis of PC12 cells by inducing an increase in PCSK9 expression and a decrease in LRP1 expression in PC12 cells, which in turn affects different signaling pathways downstream.

Objective To establish the methods of galvanic vestibular stimulation-vestibular evoked myogenic potentials(GVS-VEMPs)in healthy children and to obtain the normal value of GVS-cVEMP and GVS-oVEMP in these children in China.Methods Twenty(3～14 years)healthy children and 24 healthy adults(18～30 years)were enrolled for conventional examinations of GVS-cVEMP and GVS-oVEMP.Using the galvanic stimulation in-tensity under 3 mA/1 ms for children and 5 mA/1 ms for adults.The characteristics of elicitation and parameter re-sults of GVS-cVEMP and GVS-oVEMP in children and adults,as well as the pain scores and the elicitation of differ-ent stimulus intensities in the two age groups were recorded.Results The elicitation of GVS-cVEMP and GVS-oVEMP were both 100.0％in children and adult groups.The p1 latency,n1 latency and p1-n1 interval latency of GVS-cVEMP were 10.46±1.84 ms,16.98±2.12 ms and 6.52±1.42 ms respectively in children group,the n1 la-tency and p1-n1 interval latency were significantly shorter than the adult group(P＜0.05).The n1 latency,p1 la-tency and p1-n1 interval latency of GVS-oVEMP were 8.87±1.40 ms,12.25±1.80 ms and 3.39±1.07 ms re-spectively in children group with no significant difference between the two groups.The thresholds of GVS-cVEMP and GVS-oVEMP in children group were significantly lower than adult group(P＜0.01),but no differences were found in adult group regarding on the amplitude and interaural amplitude asymmetry ratio.In addition,with the in-crease of the intensity of galvanic stimulation,the correlation between pain scores and the elicitation rates of GVS-cVEMP and GVS-oVEMP also increased.Conclusion Using appropriate stimulus intensity and recording methods,GVS-cVEMP and GVS-oVEMP could be successfully assessed and detected in healthy children over 3 years old and adolescents.The latency of GVS-cVEMP in children is slightly shorter than that in adults,therefore we recommend selecting the matched age group for assessment in the children group.