Objective To investigate the sputum metabolic profiles of patients with occupational coal workers' pneumoconiosis (CWP) by an untargeted metabolomics method, and to identify relevant differential metabolic pathways and potential biomarkers. Methods A total of 12 male patients with stage Ⅰ CWP were selected as the CWP group, and 16 healthy male individuals were selected as the control group, using a judgmental sampling method. Sputum metabolites of individuals in both groups were detected to perform non-targeted metabolomic analysis using the ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Differential metabolites (DMs) and their pathways were screened using principal component analysis, partial least squares discriminant analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Potential biomarkers were analyzed and identified via the receiver operating characteristic curve (ROC). Results There were apparent metabolic alterations observed in sputum of CWP patients compared with healthy controls. In the positive ion mode, a total of 42 DMs were identified in sputum from CWP patients, including 19 downregulated and 23 upregulated metabolites. In the negative ion mode, a total of 25 DMs were identified in sputum from CWP patients, including 16 downregulated and 9 upregulated metabolites. KEGG enrichment analysis of sputum from CWP patients showed that seven DMs pathways were enriched in ABC transporters, histidine metabolism, phenylalanine metabolism, arachidonic acid metabolism, linoleic acid metabolism, purine metabolism, and oxidative phosphorylation, involving 26 DMs. ROC analysis indicated that 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate of these 26 DMs may serve as potential biomarkers for CWP. Conclusion Sputum metabolomic profiles were altered in CWP patients compared with healthy controls. The potential biomarkers of CWP prevention and treatment are 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate.

ObjectiveTo explore the main mechanism of self-precipitation formed during the decoction of Sinitang（SNT）， and to provide a research basis for exploring the differences in the toxic and effective components of this compound. MethodsThe average precipitation yields of SNT， Glycyrrhizae Radix et Rhizoma（GRR）-Aconiti Lateralis Radix Praeparata（ALRP） decoction（GF）， ALRP-Zingiberis Rhizoma（ZR） decoction（FJ）， GRR-ZR decoction（GJD）， ALRP decoction（FZ）， ZR decoction（GJ） and GRR decoction（GC） were determined. The four main self-precipitation samples of SNT， GF， FZ and GC were physically characterized by particle size， scanning electron microscopy（SEM）， pH， total dissolved solids（TDS）， conductivity， and Fourier transform infrared spectroscopy（FT-IR） analysis. The chemical compositions of SNT decoction and its different phases was identified by ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive Orbitrap-MS） for SNT， SNT self-precipitation and SNT supernatant， and the contents of its main toxic and effective components were determined by high performance liquid chromatography（HPLC）. ResultsPrecipitation yield results of the 7 samples of SNT decoction and single decoction showed that SNT had the highest self-precipitation yield. The formation of SNT self-precipitation was mainly related to the reaction between ALRP and GRR components to form complexes， and FT-IR showed that GRR had the greatest influence on the formation of self-precipitation. A total of 110 components were identified in the SNT decoction， including 100 components in the SNT self-precipitation and 106 components in the SNT supernatant. And quantitative results of the main toxic and effective components revealed that the reaction between ALRP and GRR components formed complexes， resulting in the following content hierarchy for free components：SNT decoctionsupernatantself-precipitation， these components included free liquiritin， benzoylmesaconine， benzoylaconitine， benzoylhypacoitine， liquiritigenin， aconitine， hypoaconitine， isoliquiritigenin and ammonium glycyrrhizinate. ConclusionSNT exhibits spontaneous precipitation during compound decoction， with GRR exerting the greatest influence on its formation. This suggests GRR plays a significant role in the detoxification of SNT. The differences in the self-precipitated toxic-effective components of SNT compound decoction primarily manifest as changes in component content， reflecting the characteristics of SNT "deposition in vitro and sustained release in vivo" and the importance of "administered at draught" in the clinical application of SNT.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Immunization represents the most effective strategy for the prevention and control of diseases. Nevertheless, some people may still get infected and contract the disease even after being fully vaccinated, which is known as a "breakthrough case." The presence of breakthrough cases shows that although vaccines significantly lower the rates of disease and death, they do not entirely eliminate the risk of illness.Addressing breakthrough cases, comprehending their epidemiological characteristics, and identifying the associated factors carry substantial public health implications for vaccine development, the optimization of vaccination strategies, and the implementation of intervention efforts. This review aims to provide a scientific reference for enhancing the prevention and control of vaccine-preventable diseases by summarizing the definitions, epidemiological characteristics, and relevant factors related to breakthrough infection cases across various diseases.

Objective:To assess the predictive performance of a nomogram model integrating endoscopic ultrasound（EUS）radiomic features with clinical variables for distinguishing early esophageal squamous cell carcinoma（ESCC）from non-cancerous lesions.Methods:Clinical and imaging data from 454 patients who underwent EUS for suspected esophageal malignancies were retrospectively collected in the First Affiliated Hospital of Nanjing Medical University（training cohort， n = 323）and Dongyang People's Hospital（external validation cohort， n = 131）from January 2020 to November 2023. Independent clinical predictors of early ESCC were identified using univariable and multivariable Logistic regression analyses to establish a clinical model. Pearson correlation and Least Absolute Shrinkage and Selection Operator（LASSO）algorithms were used to construct a radiomics model. A combined model integrating radiomics scores and clinical predictors was developed and visualized as a nomogram. The predictive performance of each model was assessed using the area under the ROC curve（AUC），and calibration curves were used to evaluate the model's fitting capability. Results:The training set and validation set indicated that there were statistically significant differences in age，smoking history and lesion location between the early ESCC group and the non-cancerous lesion change group（all P < 0.05）. According to univariate and multivariate Logistic regression analysis，age（ OR = 1.039，95% CI = 1.003–1.077， P = 0.036）and smoking（ OR = 2.358，95% CI = 1.270 - 4.376， P = 0.007）were identified as independent predictors and used to develop the clinical model，with AUCs of 0.608 and 0.694 in the training and validation cohorts，respectively. Fourteen optimal radiomic features were selected to construct the radiomics model，with AUCs of 0.881 and 0.807 in the training and validation cohorts，respectively. The combined nomogram model demonstrated superior predictive performance with AUCs of 0.893 and 0.830，sensitivities of 82.5% and 79.1%，and specificities of 82.2% and 81.3% in the training and validation cohorts，respectively. Conclusions:The EUS-based nomogram model demonstrates optimal predictive performance and can serve as a non-invasive tool to assist endoscopists in distinguishing early ESCC from non-cancerous lesions.

Objectives:There is a lack of long-term follow-up study results on severe microvascular complications in a larger Chinese population with diabetes.This study aims to explore long-term impact of newly diagnosed diabetes(NDD)on the incidence and risk of severe microvascular complications.Methods:A total of 598 NDD and 493 normal glucose tolerance(NGT)subjects were included in this study in 1986.By questionnaire and systematic case review,the occurrence of severe microvascular complications,including severe diabetic retinopathy,severe diabetic nephropathy,and severe diabetic neuropathy,was followed up and collected over a period of 34 years.Results:The cumulative incidence of severe microvascular complications in the NDD population was 65.03%(95%CI:58.90%-70.48%)over 34 years,significantly higher than that in the NGT population(16.8%,95%CI:12.64%-20.11%).After adjusting for related risk factors,the risk of severe microvascular complications in the NDD population was 7.08 times than that of the NGT population(HR=7.08,95%CI:5.09-9.84,P<0.0001).Stratified analysis by sex showed that the cumulative incidence and risk of severe microvascular complications were slightly higher in male NDD population(68.02%,95%CI:57.27%-76.61%;HR=9.45,95%CI:5.78-15.47,P<0.0001)than in female NDD population(63.37%,95%CI:55.69%-70.09%;HR=5.86,95%CI:3.75-9.16,P<0.0001);however,the cumulative incidence increased more rapidly in women during the follow-up period of 10-25 years.Conclusions:The incidence and risk of severe microvascular complications in diabetes were significantly higher than those in the NGT population;and the incidence of severe vascular complications increased rapidly after the duration of diabetes exceeded 10 years,indicating that strict control of blood glucose in the early stage of diabetes is of vital importance.

Objective:To investigate the feasibility and clinical value of artificial intelligence-assisted compressed sensing (ACS) technology in accelerating MR simulation (MR-sim) for radiotherapy of nasopharyngeal carcinoma (NPC).Methods:Thirty patients with NPC scheduled to receive radical radiotherapy at Sun Yat-sen University Cancer Center were prospectively enrolled. All patients underwent head and neck MR-sim on a 3.0 T scanner, with axial T 1 weighted imaging (WI), T 2WI, contrast-enhanced T 1WI, and fat-suppressed contrast-enhanced T 1WI images acquired using both ACS and parallel imaging (PI) techniques. Paired-sample t tests or rank-sum tests were used to compare scan time, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of MR-sim images between the two techniques. A 5-point Likert scale was applied to evaluate tumor lesion visualization, lesion margin clarity, artifacts, and overall image quality, with chi-square tests used to compare subjective image quality scores between the two techniques. Tumor target volumes were delineated on MR-sim images obtained by both ACS and PI techniques after fusion with CT simulation images, and consistency was assessed using the Dice similarity coefficient (DSC). Results:For both individual sequences and overall protocols, ACS significantly reduced MR-sim acquisition time compared with PI ( P < 0.001). The total acquisition time with ACS was (378.60±17.07) s versus (694.93±17.07) s with PI, representing a 45.52% time reduction. SNR, CNR, tumor lesion identification, margin clarity, artifacts, and overall image quality scores of MR-sim images did not differ significantly between ACS and PI ( P > 0.05). Tumor target volumes delineated from ACS- and PI-based MR-sim images showed high consistency after fusion with CT simulation images ( P > 0.05), with mean DSC values of primary tumors and metastatic cervical lymph nodes approaching 1. Conclusion:Compared with conventional MR acceleration methods (PI), ACS enables faster MR-sim acquisition in NPC without compromising image quality or the accuracy of tumor target delineation.

Objective To investigate the effect of Lianpu Yin on duodenal microinflammation in rats with functional dyspepsia(FD)by regulating NLRP3 activation.Methods Wistar rats were randomly divided into blank group and model group.FD rats were reconstructed by iodoacetamide method(2%sucrose solution containing 0.1%iodoacetamide),and the model was verified.FD model rats were randomly divided into model group,Lianpu Yin group and Moxapride group by random number expression method.After a period of two weeks of administration,measurements were taken to determine the body mass,three-hour food consumption,as well as the rates of gastric emptying and intestinal propulsion.The pathological structure of duodenal tissue was observed by HE staining.The serum levels of IL-1β and IL-18 were quantified using the enzyme-linked immunosorbent assay(ELISA)method.The expression levels of NLRP3 and Caspase-1 in each group were detected by Western blot.Expression levels of NLRP3 and Caspase-1 proteins were detected by immunofluorescence.Results Compared with the blank group,body weight,food intake at 3 h,gastric emptyand intestinal propulsion rate in model group were significantly decreased(P<0.01),and inflammatory infiltration of duodenum tissue appeared in the model group.Meanwhile,the expressions of NLRP3 and Caspase-1 proteins,as well as the levels of IL-1β and IL-18 in the duodenal tissue of the model group,showed significant increasing(P<0.05).Compared with the model group,rats in the Lianpu Yin and Moxapride groups displayed significant increasing in body weight,gastric emptying rate,and intestinal propulsion rate(P<0.01).Additionally,inflammatory infiltration of duodenum tissue reduced in these groups.Furthermore,NLRP3 and Caspase-1 protein expressions,as well as IL-1β and IL-18 levels,significantly decreased in the Lianpu Yin and Moxapride groups compared to the model group(P<0.05).Conclusion Lianpu Yin can treat FD rats by inhibiting duodenal microinflammation and then restoring gastrointestinal motility,which may be related to the abnormal activation of NLRP3 inflammasome.

Dampness-heat syndrome of the spleen and stomach refers to the evil dampness-heat invading the spleen and stomach,the abnormal rise and fall of the middle jiaoqi machinery,dampness-heat depression and steaming,the physiological dysfunction of the spleen and stomach,with abdominal distention and distention,nausea and lethargy of the limbs,poor loose stool,red tongue and yellow greasy fur,and slippery pulse as the main symptoms of the syndrome,most common in digestive system diseases,among which chronic gastritis is the first.This paper summarized the research results in the past decade and related fields.In the mode of combination of disease and syndrome,based on the principle of corresponding prescription and syndrome,combined with the etiology and pathogenesis evolution of spleen and stomach damp-heat syndrome,the biological connotation of spleen and stomach damp-heat syndrome was explained from various aspects such as inflammation and immune disorders,gastrointestinal motivity disorders,water and humidity loss,endoplasmic reticulum function,and micro-ecological disorders.Enrich the research of the essence of syndrome.

Objective To systematically sort out the current situation of animal model construction and evaluation of damp-heat syndrome of spleen and stomach under the pattern of combining disease and evidence,references for optimizing the standardized research of this syndrome were provided.Methods The references in the past 20 years from CNKI,Wanfang,VIP,PubMed and other databases were searched to summarize and analyze the modeling ideas,evaluation systems and problems of the animal models of spleen-stomach damp-heat syndrome.Results Most of the existing models used high-fat and high-sugar feeds combined with hot and humid environment exposure,compound pathogenic microbial infection or chemical stimulation to construct the combined disease and evidence model.The model validity was evaluated by macroscopic signs,gastrointestinal function indexes,inflammatory factors,and intestinal bacterial flora,etc.However,there were still problems of insufficient stability of the model,and inconsistencies in the criteria for evaluation of the evidence.Conclusion The combination of disease and evidence model can better simulate the clinical characteristics of spleen and stomach damp-heat syndrome,but it is necessary to strengthen the construction of multimodal evaluation system and molecular mechanism research.The standardization of animal models can be promoted through the integration of multidisciplinary technology,which can provide a more accurate method for the modernization of traditional Chinese medicine research.