The Department of Thoracic Surgery of Shanghai Chest Hospital has performed esophageal function testing for over 30 years, being the only department of its kind in China with this capability. The pressure testing and 24-hour pH/impedance monitoring of the esophagus is of great help to assist in the diagnosis and treatment of benign and malignant esophageal diseases related to it. Thanks to the esophageal function test, in addition to the routine various endoscopic anti-reflux procedures, our hospital has taken the lead in China in recent years to carry out a series of clinical and research work for benign esophageal diseases, such as the development of magnetic ring, double nedoscopic combination and new anti-reflux endoscopic techniques. In recent years, we have carried out high-resolution esophageal manometry and 24-hour pH/impedance monitoring for patients with interstitial pneumonia and pulmonary fibrosis suspected to be caused by gastroesophageal acid reflux. We can better assess the correlation between gastroesophageal reflux and pulmonary fibrosis, and to provide the different clinical treatments and even surgical interventions. The Bravo capsule is used more often in the United States, and it has obvious advantages over traditional approach for acid measurement. We strongly call for the collaboration between industry and academic institutions in this field, and the development of our own related products with independent intellectual property rights.

Aim To analyze the anti-A549 and HI299 lung ade-nocarcinoma activities via using examples of baicalin, astragalo-side, hesperidin and cisplatin based on real time cellular analysis (RTCA) technology, and to build a new strategy for EC50 e-valuation reflecting the time-dimensional characteristic. Methods Using RTCA Software Pro for data analysis and GraphPad Prism and Origin Pro plotting, the in vitro anti-A549 and H1299 lung adenocarcinoma activities of baicalin, astragaloside, hesperidin, and cisplatin were characterized using the endpoint method and time dimension, respectively. Results (X) There were significant differences in EC50 values of A549 and H1299 cells at 24 h and 48 h endpoint methods. (2) The correlation coefficient of the curve fitted with the four-parameter equation was > 0. 9, and the dynamic change of EC50 remained relatively stable (the linear fitting of EC50 at adjacent 4 points I slope 1^1) used to calculate the EC50 value within this time dimension. The EC50 of baicalin, astragaloside, hesperidin and cisplatin on A549 cells was 52. 97 ±1.75 плпо! • L~1(16~48 h) , 62.88 ± 2.91 ijunol • L"1 (32.25 -48 h) , 78.84 ±0.33 плпо1 • L"1 (21.5 -29.75 h), 13.57 ±1.54 плпо1 • L_1(27.5 -48 h), respectively; the EC50 of baicalin, astragaloside, hesperidin and cisplatin on H1299 cells was 43. 71 ± 1. 26 |лто1 • L_1 ( 19. 5 -48 h), 47.23 ±1. 19 |лто1 • L_1(14 -48 h) , 39.45 ±0.24 плпо1 • L"1 (12.75 -46.25 h), 25.97 ±4.76 плпо1 • L"1 (10. 25 -48 h) , respectively. The results showed that the time window for the anti-tumor effect of the test solution/drug was different. Conclusions Based on RTCA technology, it is more accurate and reasonable to select EC50 data that exhibit better fitting, stable changes, and time-dimensional characteristics for the evaluation of anti-tumor activity. In addition, this method of distinguishing different effective time of antitumor drugs can provide a reference for the timing of clinical combination drugs, and this approach will also provide a reference for further related studies.

Patients with chronic obstructive pulmonary disease have the disease phenomenon of fear of exercise because of dyspnea, which can accelerate the body degradation rate, weaken muscle strength, reverse increase dyspnea, and delay the recovery of the disease. As a result, this article examines the theoretical underpinnings and specific measures of dyspnea belief intervention programs for chronic obstructive pulmonary disease patients at home and abroad, summarizes the limitations of previous studies, and makes pertinent recommendations in an effort to serve as a guide for early patient prevention and the development of scientific and feasible intervention programs.

Influenza virus causes serious threat to human life and health. Due to the inherent high variability of influenza virus, clinically resistant mutant strains of currently approved anti-influenza virus drugs have emerged. Therefore, it is urgent to develop antiviral drugs with new targets or mechanisms of action. RNA-dependent RNA polymerase is directly responsible for viral RNA transcription and replication, and plays key roles in the viral life cycle, which is considered an important target of anti-influenza drug design. From the point of view of medicinal chemistry, this review summarizes current advances in diverse small-molecule inhibitors targeting influenza virus RNA-dependent RNA polymerase, hoping to provide valuable reference for development of novel antiviral drugs.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

Objective To investigate the impact of emodin(EM)on vascular endothelial cell injury in rats with diabetes macroangiopathy by regulating hypoxia inducible factor-1α(HIF-1α)/vascular endothelial growth factor(VEGF)signaling pathway.Methods SD rats were divided into blank group and modeling group,the rats in the modeling group were fed with high fat and high sugar combined with N-nitro-L-arginine methyl ester to build the diabetes macroangiopathy model,and the blank group was fed with ordinary diet.The vascular endothelial cells successfully isolated from the thoracic aorta of rats in blank group and modeling group were named control group and model group,respectively.The vascular endothelial cells in the modeling group were divided into model group,dimethyloxallyl glycine(DMOG)group(10 μmol·L-1DMOG),combined group(80 mg·L-1EM+10 μmol·L-1 DMOG)and experimental-L,-M,-H groups(20,40,80 mg·L-1 EM).The apoptosis of rat vascular endothelial cells was detected by flow cytometry;Western blot was applied to detect the expression of HIF-1αand VEGF proteins in rat vascular endothelial cells.Results The apoptosis rates of vascular endothelial cells in experimental-M,-H groups,DMOG group,combined group,model group and control group were(10.18±0.36)％,(6.28±0.20)％,(24.96±1.18)％,(12.36±0.49)％,(18.76±0.68)％and(4.59±0.26)％;HIF-1α protein levels were 0.96±0.07,0.78±0.06,2.03±0.12,1.05±0.13,1.58±0.12 and 0.69±0.05;VEGF protein levels were 0.59±0.05,0.23±0.02,0.98±0.06,0.63±0.04,0.86±0.07 and 0.11±0.01.The above indexes in the model group were compared with the control,DMOG,experimental-M and experimental-H groups,and the above indexes in the combined group were compared with the experimental-H group,and the differences were statistically significant(all P＜0.05).Conclusion EM may inhibit HIF-1α/VEGF pathway to improve vascular endothelial cell injury in rats with diabetes macroangiopathy.

Objective To evaluate the pharmacokinetics characteristics of single-dose of Etripamil nasal spray 70 mg in healthy adult Chinese subjects.Methods This was a single-center,randomized,double-blind,placebo-controlled study.Twelve healthy adult Chinese subjects were randomized to receive single-dose of Etripamil nasal spray 70 mg(n=10)or placebo nasal spray(n=2).Blood and urine samples were collected prior and post dose.Etripamil in plasma and urine were analyzed by liquid chromatography-tandem mass spectrometry.The pharmacokinetic parameters were calculated by WinNonlin non-compartmental model.Results Following the single-dose of Etripamil nasal spray 70 mg in healthy adult Chinese subjects,the peak concentration of Etripamil in plasma was quickly attained,with a Cmax of(66.76±56.61)ng·mL-1 and a median(range)tmax of 4.00(3.00-5.00)min.The plasma concentrations of Etripamil had fallen approximately 65％from peak value at 25 min after dosing,and close to 80％within 50 min.The AUC0-last and AUC0-∞ were(3 104.16±2 654.46)and(4 048.77±2 682.38)ng·min·mL-1,respectively.The urine excretion percentage of Etripamil during 24 h was(0.01±0.01)％.Among the 12 subjects who were treated with Etripamil or placebo,10 subjects reported a total of 29 treatment-emergent adverse events(TEAEs).All of the TEAEs were mild in severity.The most common TEAEs were rhinorrhoea and lacrimation increased.Conclusion Etripamil was quickly absorbed after intranasal administration,followed by rapid distribution and elimination(not primarily excreted by renal);Etripamil 70 mg was safe and well tolerated by the healthy Chinese adult subjects.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

AIM To compare the components difference between Lonicera fragrantissima Lindl.et Paxt.(LFL)and Lonicerae japonicae Flos(LJF),and to evaluate the medicinal value of LFL,so as to provide reference for the development and utilization of LFL and LJF.METHODS With 70%methanol as extraction solvent,the components were analyzed by UPLC-TOF-MS,and the contents of 20 components were determined by HPLC-QQQ-MS.The components difference was determined by multivariate statistical analysis.RESULTS A total of 52 components were identified in the buds of LFL and LJF.There were 4 different components in LJF,and the contents of 20 quantitative components were significantly different.The contents of isochlorogenic acid C,ferulic acid,luteolin and rutin in the buds of LFL were more than 2 times that of LJF,and the contents of marchanic acid and marchanin were 11.96 times and 37.23 times that of LJF respectively.Maganin,isochlorogenic acid A,maganic acid,rutin and dicomachanic acid are the key differentiating components of LFL and LJF.CONCLUSION The buds of LFL and LJF have similar species,but the content difference is obvious.The buds of LFL have important medicinal value,which need further development and utilization.

Objective:To extract the early result of postoperative echocardiographic evaluation in patients underwent left ventricular assist device (LVAD) implantation, and to assess the efficacy of surgical treatment for end-staged heart failure.Methods:Between June 2019 and May 2023, the patients underwent left ventricular assist device implantation were enrolled in this study. Demographic baseline characteristics and perioperative echocardiographic parameters were collected and analyzed.Results:A total of 28 patients were included in the study. After LVAD implantation, the heart sizes of the patients obviously reduced and the left heart contractibility function improved. The right ventricular contractibility remained stable. The proportion of the patients with moderate to severe mitral regurgitation was significantly reduced, but patients with mild to moderate aortic insufficiency increased. No serious complications such as death, pericardial tamponade and thrombosis events were observed during the follow-up period.Conclusion:LVAD implantation improved the left cardiac function, while the right cardiac function remained stable. However, it should be paid attention that the aortic valve function was impaired after the surgery. Generally, the early results of LVAD implantation for the treatment of end-stage heart failure were satisfactory.