OBJECTIVE To explore the effects of different concentrations of aconitine on the ventricular electrophysiology of the rat heart when applied to the heart. METHODS By optical mapping technology, the effects of different concentrations of aconitine on ventricular action potential and calcium signal in rats before and 15 min after administration were observed by in vitro administration of aconitine 0.3, 1, 3 ng·mL−1. RESULTS Compared with the blank group, aconitine could be concentration-dependent to delay the conduction of action potentials under both spontaneous and 6 Hz stimulation rhythms, and there was a significant difference at a concentration of 3 ng·mL−1(P<0.05 or P<0.01). Compared with blank group, when the concentration of aconitine was 1 and 3 ng·mL−1, the action potential duration(APD) of the ventricle was significantly prolonged(P<0.01). Aconitine could also increase the dispersion of action potential conduction(P<0.05) and reduce the ratio of effective refractory period(ERP) to APD90(P<0.01). In addition, aconitine could also be concentration-dependent delay of calcium signal conduction, reduce the speed of calcium conduction(P<0.05 or P<0.01), increase the dispersion of calcium conduction and calcium transient duration(P<0.05 or P<0.01), and reduce the amplitude of calcium signal(P<0.01). CONCLUSION Using the optical labeling technique, it can be visualized that aconitine induces arrhythmia by concentration-dependent delay of ventricular action potential and calcium signaling in rats.To explore the effects of different concentrations of aconitine on the ventricular electrophysiology of the rat heart when applied to the heart. METHODS By optical mapping technology, the effects of different concentrations of aconitine on ventricular action potential and calcium signal in rats before and 15 min after administration were observed by in vitro administration of aconitine 0.3, 1, 3 ng·mL−1. RESULTS Compared with the blank group, aconitine could be concentration-dependent to delay the conduction of action potentials under both spontaneous and 6 Hz stimulation rhythms, and there was a significant difference at a concentration of 3 ng·mL−1(P<0.05 or P<0.01). Compared with blank group, when the concentration of aconitine was 1 and 3 ng·mL−1, the action potential duration(APD) of the ventricle was significantly prolonged(P<0.01). Aconitine could also increase the dispersion of action potential conduction(P<0.05) and reduce the ratio of effective refractory period(ERP) to APD90(P<0.01). In addition, aconitine could also be concentration-dependent delay of calcium signal conduction, reduce the speed of calcium conduction(P<0.05 or P<0.01), increase the dispersion of calcium conduction and calcium transient duration(P<0.05 or P<0.01), and reduce the amplitude of calcium signal(P<0.01). CONCLUSION Using the optical labeling technique, it can be visualized that aconitine induces arrhythmia by concentration-dependent delay of ventricular action potential and calcium signaling in rats.

An intensive breast array sensor was designed based on three-dimensional electrical impedance tomography in this work.Firstly,an electrical impedance sensor for detection of breast cancer was developed.The sensor adopted the integrated design of excitation electrode array and ground electrode to achieve structural simplification.It realized electric field densification through conical matrix and double-layer circumferentially arranged electrode array and improved the detection accuracy of target object through taper optimization.Secondly,the imaging system was designed,and the sensor was optimized by numerical simulation.The simulation results showed that halving the number of electrodes did not affect imaging accuracy of the sensor,but could improve the imaging speed.Finally,the performance of the sensor was verified by experiment.The signal-to-noise ratio and channel consistency of the system were at a good level.The sensor was used to reconstruct three-dimensional image of the experimental model with relative volume of the detection field of 0.4%.The image correlation coefficient of the single target imaging was above 0.6 and the position of the double target object could be clearly identified,and thus the visual detection of breast cancer was realized.

ObjectiveTemporal heterogeneity in lung cancer presents as fluctuations in the biological characteristics, genomic mutations, proliferation rates, and chemotherapeutic responses of tumor cells over time, posing a significant barrier to effective treatment. The complexity of this temporal variance, coupled with the spatial diversity of lung cancer, presents formidable challenges for research. This article will pave the way for new avenues in lung cancer research, aiding in a deeper understanding of the temporal heterogeneity of lung cancer, thereby enhancing the cure rate for lung cancer. MethodsRaman spectroscopy emerges as a powerful tool for real-time surveillance of biomolecular composition changes in lung cancer at the cellular scale, thus shedding light on the disease’s temporal heterogeneity. In our investigation, we harnessed Raman spectroscopic microscopy alongside multivariate statistical analysis to scrutinize the biomolecular alterations in human lung epithelial cells across various timeframes after benzo(a)pyrene exposure. ResultsOur findings indicated a temporal reduction in nucleic acids, lipids, proteins, and carotenoids, coinciding with a rise in glucose concentration. These patterns suggest that benzo(a)pyrene induces structural damage to the genetic material, accelerates lipid peroxidation, disrupts protein metabolism, curtails carotenoid production, and alters glucose metabolic pathways. Employing Raman spectroscopy enabled us to monitor the biomolecular dynamics within lung cancer cells in a real-time, non-invasive, and non-destructive manner, facilitating the elucidation of pivotal molecular features. ConclusionThis research enhances the comprehension of lung cancer progression and supports the development of personalized therapeutic approaches, which may improve the clinical outcomes for patients.

This paper summarizes the exploration process and academic significance of the academic thought of Zhou Zhongying,a master of traditional Chinese medicine,who took the creation of a new system of TCM pathogenesis theory as the core,and interprets its theoretical connotation.As a pioneer in the construction of higher education textbooks for traditional Chinese medicine,Professor Zhou Zhongying created the outline of TCM internal medicine viscera differentiation,persisted in carrying out innovative research on patho-genesis theory,achieved fruitful academic results,and enriched and developed the academic system of TCM theory.In the clinical di-agnosis and treatment of exogenous febrile diseases and acute and difficult internal injuries,he systematically created new pathogenesis theories such as stasis-heat theory and cancer toxicity theory.Based on this,the legislation of medication can improve the clinical effi-cacy,and it is realized that identifying the pathogenesis is the key link in syndrome differentiation and treatment.In his later years,Professor Zhou Zhongying,guided by the holistic view,proposed the"thirteen pathogenesis"and constructed a new system of TCM pathogenesis differentiation,highlighting the guiding value of complex pathogenesis and the causal chain of pathogenesis elements to complex clinical diseases and syndromes,forming a theory with the idea of"examining syndromes and seeking pathogenesis,activating syndrome differentiation"as its soul.This theory breaks through the rigid thinking of syndrome differentiation and treatment based on a single pathogenesis or fixed syndrome type,reconstructs the theoretical framework of TCM with the idea of holistic view,and is a major academic innovation in modern TCM.

Objective To investigate the effect and mechanism of tetramethylpyrazine(TMP)on cognitive function in mice with post-traumatic stress disorder(PTSD).Methods The mice were randomly divided into normal group,model group and experimental group.Except for the normal group,the PTSD mouse model was established by single prolonged stress(SPS).The experimental group was intraperitoneally injected with 10 mg·kg-1 TMP,and the normal group and the model group were intraperitoneally injected with an equal amount of 0.9％NaCl.The Morris water maze,open field and elevated plus maze tests were used to evaluate the cognitive behavior of the mice.The apoptosis of neurons was detected by Terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling(TUNEL).The expression of ionized calcium binding adapter molecule-1(Iba-1)protein was detected by immunofluorescence(ICC).The content of oxidative stress inflammatory factors was detected by enzyme-linked immunosorbent assay(ELISA).Results The escape latency of the normal group,model group,and TMP group were(56.50±9.89),(87.16±10.48)and(68.63±10.19)s,respectively;the corner residence time of the open field were(190.37±40.64),(260.39±40.54)and(218.63±38.27)s,respectively;the apoptosis rates were(18.28±2.35)％,(39.36±3.65)％and(30.74±3.58)％,respectively;the fluorescence intensities of Iba-1 were(8.01±2.23)％,(50.87±7.31)％and(7.49±1.41)％;malondialdehyde contents were(5.46±0.95),(12.98±2.06)and(8.31±1.28)nmol·mg-1,respectively;tumor necrosis factor-α contents were(53.59±9.91),(115.46±11.53)and(74.38±10.77)pg·mL-1,respectively.The above indexes in the normal group and the experimental group were statistically significant compared with the model group(P＜0.05,P＜0.01).Conclusion TMP can improve the cognitive function of PTSD mice,and the mechanism may be related to the regulation of inflammation and oxidative stress.

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.

Objective To survey and analysis of cephalometric indicators of Wa adults in China.Methods Cephalometric parameters were measured in 1996 cases(858 males and 1138 females)of Wa adults in China,including 927 cases(381 males and 546 females)of the Baraoke ethnic group,564 cases(241 males and 323 females)of the A Wa ethnic group,and 505 cases(236 males and 269 females)of the Wa ethnic group by using sliding caliper and spreading caliper.Seventeen direct cephalofacial parameters and one indirect parameter for each of the three dialect ethnic groups were derived separately and analyzed for age correlations,inter-sex u-tests,and multiple comparisons.Finally,the three dialect ethnic groups were subjected to cluster analysis and principal component analysis with 15 ethnic groups in China.Results Nose breadth,mouth breadth and physiognomic ear length were significantly and positively correlated with age for both sexes in the three Wa dialect ethnic groups,while head breadth and lip height were significantly and negatively correlated with age.Except for the interocular breadth,there were gender differences between males and females in the cephalometric parameters of the three Wa dialect ethnic groups.The cephalofacial features of the Baraoke,A Wa and Wa ethnic groups were different,as evidenced by the fact that males and females of the Baraoke and Wa dialect ethnic group had higher lip height,wider nasal breadth and wider mouth breadth,while males and females of the A Wa ethnic group had lower nasal height.Conclusion The cephalofacial features of the three Wa dialect ethnic groups are close to those of the Khmus and Mang,who have their origins in the ancient Baipu people and are also members of the Mon-Khmer language group of the Austroasiatic linguistic.

Objective To discuss the clinical value of echocardiographic indicators in assessing the short-term efficacy of transcatheter aortic valve replacement(TAVR)and surgical aortic valve replacement(SAVR)in treating patients with severe aortic valve stenosis(AS).Methods The clinical data of 70 patients with severe AS,who received treatment at the Daping Hospital of Army Military Medical University of China between June 2019 and September 2022 were retrospectively analyzed.The patients were divided into SAVR group(n=40)and TAVR group(n=30).The preoperative one-week and postoperative one-month echocardiographic indicators were compared between the two groups.Results In both groups,the postoperative one-month peak aortic valve velocity(Vmax),aortic valve mean transvalvular pressure gradient(mPG),relative thickness of chamber wall(RWT),and left ventricular mass index(LVMI)were decreased when compared with preoperative values(all P＜0.05);in TAVR group the left ventricular ejection fraction(LVEF),LVMI and incidence of perivalvular leakage were remarkably higher than those in SAVR group,while the Vmax and mPG were obviously lower than those in SAVR group(all P＜0.05).In TAVR group,the mitral regurgitation decreased from preoperative 12 patients(40％)to postoperative 2 patients(6.7％)and the over-moderate tricuspid regurgitation decreased from preoperative 7 patients(23.3％)to postoperative one patient(3.3％)(all P＜0.05).In SAVR group,the mitral regurgitation decreased from preoperative 15 patients(37.5％)to postoperative 2 patients(5.0％)and the over-moderate tricuspid regurgitation decreased from preoperative 9 patients(22.5％)to postoperative one patient(2.5％)(all P＜0.05).The pulmonary artery hypertension in TAVR group decreased from preoperative 17 patients(56.7％)to postoperative 4 patients(13.3％),which in SAVR group decreased from preoperative 22 patients(55.0％)to postoperative 5 patients(12.5％)(P＜0.05),but the differences in the above indexes between the two groups were not statistically significant(all P＞0.05).Conclusion TAVR and SAVR have similar efficacy in improving secondary valve regurgitation and pulmonary artery hypertension caused by severe AS.TAVR is superior to SAVR in improving postoperative ventricular reverse remodeling and hemodynamics,although the incidence of paravalvular leakage in TAVR is higher than that in SAVR.(J Intervent Radiol,2024,33:479-482)

Objective To explore the value of deep learning(DL)models semi-automatic training system for automatic optimization of clinical image quality control of transthoracic echocardiography(TTE).Methods Totally 1 250 TTE videos from 402 patients were retrospectively collected,including 490 apical four chamber(A4C),310 parasternal long axis view of left ventricle(PLAX)and 450 parasternal short axis view of great vessel(PSAXGv).The videos were divided into development set(245 A4C,155 PLAX,225 PSAXGV),semi-automated training set(98 A4C,62 PLAX,90 PSAXGV)and test set(147 A4C,93 PLAX,135 PSAXGV)at the ratio of 5:2:3.Based on development set and semi-automatic training set,DL model of quality control was semi-automatically iteratively optimized,and a semi-automatic training system was constructed,then the efficacy of DL models for recognizing TTE views and assessing imaging quality of TTE were verified in test set.Results After optimization,the overall accuracy,precision,recall,and F1 score of DL models for recognizing TTE views in test set improved from 97.33％,97.26％,97.26％and 97.26％to 99.73％,99.65％,99.77％and 99.71％,respectively,while the overall accuracy for assessing A4C,PLAX and PSAXGV TTE as standard views in test set improved from 89.12％,83.87％and 90.37％to 93.20％,90.32％and 93.33％,respectively.Conclusion The developed DL models semi-automatic training system could improve the efficiency of clinical imaging quality control of TTE and increase iteration speed.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.