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.

ObjectiveTo explore the feasibility， evaluation methods and metabolic differences of high-fat diet（HFD） combined with myocardial ischemia-reperfusion injury（MIRI） to establish a rat model of myocardial ischemia-reperfusion with phlegm and blood stasis blocking collaterals syndrome（PBSBCS）. MethodsThirty-two SD rats were randomly divided into the sham operation， HFD， MIRI， and MIRI+HFD groups. Rats in the sham operation and MIRI groups were fed a standard diet（regular chow）， while the HFD and MIRI+HFD groups received a HFD for 10 weeks. Rats in the MIRI and MIRI+HFD groups underwent myocardial ischemia-reperfusion surgery， while the sham operation group underwent only thread placement without ligation. Cardiac function was assessed via small-animal echocardiography， including left ventricular ejection fraction（EF）， left ventricular fractional shortening（FS）， cardiac output（CO）， and stroke volume（SV）. Serum levels of creatine kinase（CK）， CK-MB， triglyceride（TG）， total cholesterol（TC）， high-density lipoprotein cholesterol（HDL-C）， low-density lipoprotein cholesterol（LDL-C）， lactate dehydrogenase（LDH）， endothelin-1（ET-1）， endothelial nitric oxide synthase（eNOS）， tumor necrosis factor-α（TNF-α）， interleukin-18（IL-18）， oxidized LDL（ox-LDL）， and cardiac troponin T（cTnT） were measured by biochemical assays and enzyme-linked immunosorbent assay（ELISA）. Myocardial histopathology was evaluated via hematoxylin-eosin（HE） staining， while myocardial infarction and no-reflow area were assessed using 2，3，5-triphenyltetrazolium chloride（TTC）， Evans blue， and thioflavin staining. Changes in syndrome characteristics［body weight， tongue surface red-green-blue ［RGB］ values， and pulse amplitude］ of PBSBCS were recorded. Serum differential metabolites were analyzed by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）. ResultsCompared with the sham operation group， the HFD and MIRI+HFD groups showed significant increases in body weight（P<0.01）， RGB values and pulse amplitude decreased in the HFD， MIRI and MIRI+HFD groups， TC， TG， LDL-C and ox-LDL levels increased in the HFD and MIRI+HFD groups， while HDL-C decreased. Blood perfusion peak time and myocardial no-reflow area increased， serum eNOS level decreased， and CK-MB， LDH， and cTnT activities increased in the HFD， MIRI and MIRI+HFD groups（P<0.05， P<0.01）. Whole blood viscosity was increased in the HFD group at medium shear rate， and in the MIRI and MIRI+HFD groups at low， medium and high shear rates（P<0.05， P<0.01）. Platelet aggregation rate increased in the MIRI and MIRI+HFD groups， accompanied by elevated ET-1， TNF-α， and IL-18 levels， reduced cardiac function indices， expanded myocardial no-reflow and infarction areas， and increased serum CK， CK-MB， LDH， and cTnT activities（P<0.05， P<0.01）. Compared with the MIRI group， the HFD and MIRI+HFD groups showed significant increase in body weight， TC， TG， LDL-C and ox-LDL levels， and significant decrease in HDL-C content（P<0.01）. The MIRI+HFD group showed decrease in RGB values and pulse amplitude， and an increase in whole blood viscosity， platelet aggregation， blood perfusion peak time， myocardial no-reflow and infarction areas， elevated ET-1， TNF-α and IL-18 levels， decreased eNOS content， EF and SV， increased serum CK， CK-MB and cTnT activities， and worsened myocardial pathology（P<0.05）. Compared with the HFD group， the MIRI+HFD group showed similar aggravated trends（P<0.05， P<0.01）. Metabolomics results showed that 34 potential biomarkers involving 13 common metabolic pathways were identified in the MIRI+HFD group compared with the sham operation group. ConclusionThe MIRI group resembles blood stasis syndrome in hemodynamics and myocardial injury， and the HFD group mirrors phlegm-turbidity syndrome in lipid profiles and tongue characteristics. While the MIRI+HFD group aligns with PBSBCS in comprehensive indices， effectively simulating clinical features of coronary heart disease（CHD）， which can be used for the evaluation of the pathological mechanism and pharmacodynamics of CHD with PBSBCS.

ObjectiveTo explore the feasibility， evaluation methods and metabolic differences of high-fat diet（HFD） combined with myocardial ischemia-reperfusion injury（MIRI） to establish a rat model of myocardial ischemia-reperfusion with phlegm and blood stasis blocking collaterals syndrome（PBSBCS）. MethodsThirty-two SD rats were randomly divided into the sham operation， HFD， MIRI， and MIRI+HFD groups. Rats in the sham operation and MIRI groups were fed a standard diet（regular chow）， while the HFD and MIRI+HFD groups received a HFD for 10 weeks. Rats in the MIRI and MIRI+HFD groups underwent myocardial ischemia-reperfusion surgery， while the sham operation group underwent only thread placement without ligation. Cardiac function was assessed via small-animal echocardiography， including left ventricular ejection fraction（EF）， left ventricular fractional shortening（FS）， cardiac output（CO）， and stroke volume（SV）. Serum levels of creatine kinase（CK）， CK-MB， triglyceride（TG）， total cholesterol（TC）， high-density lipoprotein cholesterol（HDL-C）， low-density lipoprotein cholesterol（LDL-C）， lactate dehydrogenase（LDH）， endothelin-1（ET-1）， endothelial nitric oxide synthase（eNOS）， tumor necrosis factor-α（TNF-α）， interleukin-18（IL-18）， oxidized LDL（ox-LDL）， and cardiac troponin T（cTnT） were measured by biochemical assays and enzyme-linked immunosorbent assay（ELISA）. Myocardial histopathology was evaluated via hematoxylin-eosin（HE） staining， while myocardial infarction and no-reflow area were assessed using 2，3，5-triphenyltetrazolium chloride（TTC）， Evans blue， and thioflavin staining. Changes in syndrome characteristics［body weight， tongue surface red-green-blue ［RGB］ values， and pulse amplitude］ of PBSBCS were recorded. Serum differential metabolites were analyzed by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）. ResultsCompared with the sham operation group， the HFD and MIRI+HFD groups showed significant increases in body weight（P<0.01）， RGB values and pulse amplitude decreased in the HFD， MIRI and MIRI+HFD groups， TC， TG， LDL-C and ox-LDL levels increased in the HFD and MIRI+HFD groups， while HDL-C decreased. Blood perfusion peak time and myocardial no-reflow area increased， serum eNOS level decreased， and CK-MB， LDH， and cTnT activities increased in the HFD， MIRI and MIRI+HFD groups（P<0.05， P<0.01）. Whole blood viscosity was increased in the HFD group at medium shear rate， and in the MIRI and MIRI+HFD groups at low， medium and high shear rates（P<0.05， P<0.01）. Platelet aggregation rate increased in the MIRI and MIRI+HFD groups， accompanied by elevated ET-1， TNF-α， and IL-18 levels， reduced cardiac function indices， expanded myocardial no-reflow and infarction areas， and increased serum CK， CK-MB， LDH， and cTnT activities（P<0.05， P<0.01）. Compared with the MIRI group， the HFD and MIRI+HFD groups showed significant increase in body weight， TC， TG， LDL-C and ox-LDL levels， and significant decrease in HDL-C content（P<0.01）. The MIRI+HFD group showed decrease in RGB values and pulse amplitude， and an increase in whole blood viscosity， platelet aggregation， blood perfusion peak time， myocardial no-reflow and infarction areas， elevated ET-1， TNF-α and IL-18 levels， decreased eNOS content， EF and SV， increased serum CK， CK-MB and cTnT activities， and worsened myocardial pathology（P<0.05）. Compared with the HFD group， the MIRI+HFD group showed similar aggravated trends（P<0.05， P<0.01）. Metabolomics results showed that 34 potential biomarkers involving 13 common metabolic pathways were identified in the MIRI+HFD group compared with the sham operation group. ConclusionThe MIRI group resembles blood stasis syndrome in hemodynamics and myocardial injury， and the HFD group mirrors phlegm-turbidity syndrome in lipid profiles and tongue characteristics. While the MIRI+HFD group aligns with PBSBCS in comprehensive indices， effectively simulating clinical features of coronary heart disease（CHD）， which can be used for the evaluation of the pathological mechanism and pharmacodynamics of CHD with PBSBCS.

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.

This paper introduces the academic characteristics of Professor ZHANG Ren in treatment with acupuncture for refractory eye diseases in modern times, guided by "homotherapy for heteropathy" (same therapy for different diseases sharing the same pathogenesis). The refractory eye diseases in modern times include a variety of conditions such as glaucoma, macular degeneration, diabetic retinopathy, high myopia and its complications, dry eye, cortical visual impairment and genetic eye diseases. The same therapy is used because these diseases share the similar location and pathogenesis. Professor ZHANG optimizes the methods of acupoint selection and provides the comprehensive prescriptions, "basic prescription, prescription based on disease differentiation, and supplementary prescription". A variety of acupuncture manipulation techniques are operated in clinical practice, such as compound needling methods, penetration needling, manipulations for promoting qi movement and conducting qi flow. "Early, regular and persistent" treatment is the common requirement with "the same acupoints, the same prescription and the same acupuncture method" as well as at "the same time". It is also proposed that the treatment should be provided flexibly according to the different symptoms, "identifying the differences within similarities".
Acupuncture Therapy/methods* ; Humans ; Eye Diseases/history* ; Acupuncture Points ; History, 20th Century ; China ; History, 21st Century

Acute kidney injury (AKI) is a common clinically critical syndrome in hospitalized patients with high morbidity and mortality. At present, the mechanism of AKI has not been fully elucidated, and no therapeutic drugs exist. As known, glycolytic product lactate is a key metabolite in physiological and pathological processes. The kidney is an important gluconeogenic organ, where lactate is the primary substrate of renal gluconeogenesis in physiological conditions. During AKI, altered glycolysis and gluconeogenesis in kidneys significantly disturb the lactate metabolic balance, which exert impacts on the severity and prognosis of AKI. Additionally, lactate-derived posttranslational modification, namely lactylation, is novel to AKI as it could regulate gene transcription of metabolic enzymes involved in glycolysis or Warburg effect. Protein lactylation widely exists in human tissues and may severely affect non-histone functions. Moreover, the strategies of intervening lactate metabolic pathways are expected to bring a new dawn for the treatment of AKI. This review focused on renal lactate metabolism, especially in proximal renal tubules after AKI, and updated recent advances of lactylation modification, which may help to explore potential therapeutic targets against AKI.
Humans ; Acute Kidney Injury/metabolism* ; Lactic Acid/metabolism* ; Animals ; Glycolysis/physiology* ; Gluconeogenesis/physiology* ; Kidney/metabolism*

The prevalence of Class III malocclusion varies among different countries and regions. The populations from Southeast Asian countries (Chinese and Malaysian) showed the highest prevalence rate of 15.8%, which can seriously affect oral function, facial appearance, and mental health. As anterior crossbite tends to worsen with growth, early orthodontic treatment can harness growth potential to normalize maxillofacial development or reduce skeletal malformation severity, thereby reducing the difficulty and shortening the treatment cycle of later-stage treatment. This is beneficial for the physical and mental growth of children. Therefore, early orthodontic treatment for Class III malocclusion is particularly important. Determining the optimal timing for early orthodontic treatment requires a comprehensive assessment of clinical manifestations, dental age, and skeletal age, and can lead to better results with less effort. Currently, standardized treatment guidelines for early orthodontic treatment of Class III malocclusion are lacking. This review provides a comprehensive summary of the etiology, clinical manifestations, classification, and early orthodontic techniques for Class III malocclusion, along with systematic discussions on selecting early treatment plans. The purpose of this expert consensus is to standardize clinical practices and improve the treatment outcomes of Class III malocclusion through early orthodontic treatment.
Humans ; Malocclusion, Angle Class III/classification* ; Orthodontics, Corrective/methods* ; Consensus ; Child

OBJECTIVE: To examine the mechanistic of organochlorine-associated changes in lung function. METHODS: This study investigated 76 healthy older adults in Jinan, Shandong Province, over a five-month period. Personal exposure to organochlorines was quantified using wearable passive samplers, while inflammatory factors and thyroid hormones were analyzed from blood samples. Participants' lung function was evaluated. After stratifying participants according to their thyroid hormone levels, we analyzed the differential effects of organochlorine exposure on lung function and inflammatory factors across the low and high thyroid hormone groups. Mediation analysis was further conducted to elucidate the relationships among organochlorine exposures, inflammatory factors, and lung function. RESULTS: Bis (2-chloro-1-methylethyl) ether (BCIE), was negatively associated with forced vital capacity (FVC, -2.05%, 95% CI: -3.11% to -0.97%), and associated with changes in inflammatory factors such as interleukin (IL)-2, IL-7, IL-8, and IL-13 in the low thyroid hormone group. The mediation analysis indicated a mediating effect of IL-2 (15.63%, 95% CI: 0.91% to 44.64%) and IL-13 (13.94%, 95% CI: 0.52% to 41.07%) in the association between BCIE exposure and FVC. CONCLUSION Lung function and inflammatory factors exhibited an increased sensitivity to organochlorine exposure at lower thyroid hormone levels, with inflammatory factors potentially mediating the adverse effects of organochlorines on lung function.
Environmental Exposure ; Hydrocarbons, Chlorinated/metabolism* ; China ; Ethyl Ethers/metabolism* ; Environmental Monitoring ; Thyroid Hormones/blood* ; Lung/physiology* ; Inhalation Exposure/statistics & numerical data* ; Air Pollution/statistics & numerical data* ; Air Pollutants/metabolism* ; Humans ; Male ; Female ; Middle Aged ; Aged

Congenital orofacial cleft, the most common birth defect in the maxillofacial region, exhibits a wide range of prognosis depending on the severity of deformity and underlying etiology. Non-syndromic congenital orofacial clefts typically present with milder deformities and more favorable treatment outcomes, whereas syndromic congenital orofacial clefts often manifest with concomitant organ abnormalities, which pose greater challenges for treatment and result in poorer prognosis. This consensus provides an elaborate classification system for varying degrees of orofacial clefts along with corresponding diagnostic and therapeutic guidelines. Results serve as a crucial resource for families to navigate prenatal screening results or make informed decisions regarding treatment options while also contributing significantly to preventing serious birth defects within the development of population.
Humans ; Cleft Lip/diagnosis* ; Cleft Palate/diagnosis* ; Consensus ; Prenatal Diagnosis ; Female