ObjectiveTo observe the clinical efficacy and safety of Tianmeng Lingjiao Formula（天礞羚角方， TLF） as an adjunctive therapy for paroxysmal atrial fibrillation （PAF） with phlegm-heat harassing the interior syndrome. MethodsNinety patients with PAF and phlegm-heat harassing the interior syndrome were enrolled and randomly assigned in a 2∶1 ratio to test group （60 cases） and control group （30 cases）. The control group received conventional western medicine， while the test group received TLF in addition to the conventional treatment， with one dose administered daily. The treatment course for both groups was 4 weeks. The efficacy of traditional Chinese medicine （TCM） syndrome and the rate of atrial fibrillation （AF） conversion were compared between groups. Assessments included AF burden， frequency and duration of AF episodes， TCM syndrome scores， and European Heart Rhythm Association （EHRA） AF symptom classification before and after treatment. Safety indicators such as blood routine， urine routine， stool routine， liver function， kidney function， and electrolytes were also monitored. Adverse events were recorded. ResultsA total of 82 patients completed the study （54 in the test group and 28 in the control group）. After treatment， AF burden， the frequency and duration of AF episodes， and TCM syndrome scores were significantly reduced in both groups， and the test group showed lower indicators than the control group （P＜0.01 or P＜0.05）. The AF conversion rate was 25.93% （14/54） in the test group， significantly higher than 3.57% （1/28） in the control group （P＜0.05）. The total effective rate for TCM syndrome efficacy was 83.33% （45/54） in the test group， which was significantly higher than 67.86% （19/28） in the control group （P＜0.05）. After treatment， the EHRA atrial fibrillation symptom severity in the test group showed significant improvement， and the improvement in atrial fibrillation symptoms was superior to that in the control group （P＜0.01or P＜0.05）. No significant abnormalities were observed in safety indicators， and no adverse events occurred during the trial. ConclusionTLF as an adjunctive therapy can reduce AF burden， enhance the conversion rate of AF， decrease the frequency and duration of episodes， and improve clinical symptoms in patients with paroxysmal atrial fibrillation presenting with phlegm-heat harassing the interior syndrome， with a favorable safety profile.

Atherosclerosis(AS)is the important pathological foundation of cardiovascular and cerebrovascular diseases.There is a high degree of consistency between AS and yin-nature carbuncles in terms of etiology,disease-location,severity of illness,pathogenesis,therapies and progression of disease.Based on the theory of yin-nature carbuncles and after the analysis of the characteristics of zang-fu organs mainly involved in AS and the intricate pathogenesis of AS,this paper put forward the use of warming-eliminating,warming-expulsing and warming-tonifying therapies together for treating AS,and established Chiqilin Powder,the experienced prescription including triplet medicinals,i.e.,Notoginseng Radix et Rhizoma,Draconis Sanguis,and Fermentum Rubrum.In the prescription,Notoginseng Radix et Rhizoma mainly has the warming-tonifying and warming-expulsing actions,and also exerts the warming-eliminating actions;Draconis Sanguis exerts eliminating,expulsing and tonifying actions simultaneously;Fermentum Rubrum mainly has the warming-tonifying and warming-eliminating actions,and also exerts the warming-expulsing actions.In clinical practice,the application of Chiqilin Powder in the treatment of AS patients with yang deficiency and phlegm blended with blood stasis syndrome has achieved remarkable therapeutic effects,which will provide reference for the clinical use of Chinese herbal medicine in the treatment of AS.

Objective To explore the clinical feasibility of predicting ischemic penumbra(IP)in patients with acute cerebral infarction based on multiparameter magnetic resonance imaging(MRI)radiomics and deep learning.Methods A total of 105 patients with acute cerebral infarction treated at our hospital between January 2020 and January 2024 were divided into non-IP(n=36)and IP(n=69)groups according to the results of MRI diffusion-weighted imaging(DWI).The clinical data of the two groups were collected,and multipa-rameter MRI radiomics features were screened.Clinical,radiomics,and deep learning models were constructed,and their distinguishing powers were evaluated.A fused model was constructed,and the receiver operating characteristic(ROC),calibration,and clinical decision curves were used to evaluate the predictive efficacy of the four models.Results Increases in the admission National Institutes of Health Stroke Scale(NIHSS)score,anisotropy score(FA),apparent diffusion coefficient(ADC),average diffusion coefficient(DCavg),and N-acetyl aspartate(NAA)were protective factors for IP.An increase in the lactic acid(Lac)level was a risk factor for IP(P<0.05).Of the six considered deep learning models,the support vector machine model performed the best,with an accuracy of 0.952(100/105),sensi-tivity of 0.957(66/69),and specificity of 0.944(34/36).These three models can distinguish the patients with IP.The four models exhibited high differentiation,accuracy,and effectiveness;the prediction efficiency of the fused model was the highest.Conclusion The fused model based on clinical features,multiparameter MRI radiomics,and deep learning accurately predicts IP in patients with acute cerebral infarction and can be used to provide personalized prediction results.

Objective To explore the clinical feasibility of predicting ischemic penumbra(IP)in patients with acute cerebral infarction based on multiparameter magnetic resonance imaging(MRI)radiomics and deep learning.Methods A total of 105 patients with acute cerebral infarction treated at our hospital between January 2020 and January 2024 were divided into non-IP(n=36)and IP(n=69)groups according to the results of MRI diffusion-weighted imaging(DWI).The clinical data of the two groups were collected,and multipa-rameter MRI radiomics features were screened.Clinical,radiomics,and deep learning models were constructed,and their distinguishing powers were evaluated.A fused model was constructed,and the receiver operating characteristic(ROC),calibration,and clinical decision curves were used to evaluate the predictive efficacy of the four models.Results Increases in the admission National Institutes of Health Stroke Scale(NIHSS)score,anisotropy score(FA),apparent diffusion coefficient(ADC),average diffusion coefficient(DCavg),and N-acetyl aspartate(NAA)were protective factors for IP.An increase in the lactic acid(Lac)level was a risk factor for IP(P<0.05).Of the six considered deep learning models,the support vector machine model performed the best,with an accuracy of 0.952(100/105),sensi-tivity of 0.957(66/69),and specificity of 0.944(34/36).These three models can distinguish the patients with IP.The four models exhibited high differentiation,accuracy,and effectiveness;the prediction efficiency of the fused model was the highest.Conclusion The fused model based on clinical features,multiparameter MRI radiomics,and deep learning accurately predicts IP in patients with acute cerebral infarction and can be used to provide personalized prediction results.

Macrophages play an important role in the development of inflammation,the core mechanism of athero-sclerosis.In recent years,nanotechnology has provided a new perspective for the diagnosis and treatment of atherosclerosis with its unique characteristics of biological compatibility and precise targeting.In this paper,the patholog-ical mechanism of atherosclerosis,the realization of atherosclerosis imaging by targeting macrophages with nanomaterials and the application of macrophage cell membrane biomimetic nanoparticles in anti-atherosclerosis were reviewed.

Objective To explore the specific plasma exosomal protein expression in Coronary Heart Disease(CHD)with phlegm-turbidity syndrome(PTS),so as to provide biological reference for the diagnosis of CHD with PTS.Methods A total of 20 CHD patients with PTS and 20 healthy subjects at the same period were included.Plasma exosomes were extracted from all subjects using the qEV size exclusion method.First,10 CHD cases with PTS and 10 healthy subjects were randomly selected,and differentially expressed proteins between the two groups were screened using label free non-targeted protein quantification analysis.Then,MRM targeting protein labeling technique was applied to verify the differentially expressed proteins in the remaining subjects.Results Compared with healthy controls,214 differentially expressed plasma exosomal proteins(61 up-regulated and 153 down-regulated)were found in CHD patients with PTS,mainly related to cholesterol metabolism,complement and coagulation cascade,and immune effects.ANXA6,C4BPB,F8,CFB,APOE,C9,and CLU proteins were further validated by MRM targeting protein.Conclusion CHD patients with PTS had differences in plasma exosomal protein expression from healthy controls,and the differential proteins are mainly related to cholesterol metabolism,complement,and the coagulation cascade.

This study was aimed to set up the fingerprint chromatograms of chemical principles of Dendrobii Caulis by HPLC-DAD-ELSD. This analysis was performed at 30°C on a Dikma Cl8 column (250 mm × 4.6 mm, 5 μm) with a mobile phase consisting of acetonitrile-0.5% glacial acetic acid, gradient elution, at the flow rate of 1.0 mL?min-1 with DAD and ELSD detection. The HPLC fingerprint of Dendrobii Caulis was established. And 9 fingerprint peaks were marked. The similarity among different species was low. This method was stable, reliable and repeatable. It is useful for the study on the relationship between chemical components and species of Dendrobii Cauli.

Objective In the present study,we use GC/MS-based metabolomics approaches to make analysis of serum metabolic profiles of healthy people and the hyperactivity of liver yang type of constitution in patients with essential hypertension.Try to establish the discriminant model,to discover biomarkers (group) of the hyperactivity of liver yang type of essential hypertension,and to explore the essential material basis of Traditional Chinese medicine syndrome theory.Methods Classified according to the guiding principles of Chinese medicine research,the hyperactivity of liver yang type of constitution in male patients with essential hypertension (n=18),as well as health volunteers (n=15) were randomly selected from Guang An Men Hospital clinic,wards and medical center in the first half of 2010,selected patients with essential hypertension requirements are not taking any drugs or Chinese herbs,or stop taking the various drugs more than one week.Extracted Venous Blood of subjects fasting for 12 hours,and serum was separated through centrifugation.Serum samples are stored and at-86℃ refrigerator.Survey and evaluate endogenous metabolism in serum samples of health control group and types of syndrome mentioned above by gas chromatograph mass spectrometry (GCMS)analysis.Then,analyze the metabolites with Partial Least Squares-Discriminant Analysis.Further use PCA to analyze the principal component factor loadings matrix analysis,and for variable scatter plot (Loading plot),significant increase or decrease the variables can be found from the figure.The combination of these variables is the lesion biomarkers group.Results Compared with the health control group,13 differentially expressed metabolites in the essential hypertension hyperactivity of liver yang type group can be identified (P＜0.05).8 metabolites were up-regulated expression:Uric acid,citrate,Octadecanoic acid,Hexadecanoic acid,Octadecadienoic acid,Leucine,Cholesterol,Norvaline,and 5 metabolites were down-regulated expression:arachidonate,Oleate,Alanine,Aspartic acid,glycine.Conclusion We are incline to regard that the 13 of EH patient serum differentially expressed metabolites are EH hyperactivity of liver yang syndrome metabolic biomarkers:Uric acid,citrate,Octadecanoic acid,Hexadecanoic acid,Octadecadienoic acid,Leucine,Cholesterol,Norvaline,Arachidonate,Oleate,Alanine,Aspartic acid,glycine.

To investigate the transgenic expressing efficacy of helper-dependent adenoviral vector (HDAd) in vitro, we constructed a HDAd encoding enhanced green fluorescent protein (EGFP), denominated as HDAd/EGFP, performed large scale preparation and purification, and then identified the purified HDAd/EGFP under fluorescent microscope and electron microscope. After the concentration of HDAd/EGFP was determined by spectrophotometer, the transgenic expression efficiency of HDAd/EGFP was compared with first generation adenoviral vector encoding EGFP (FGAd/EGFP) in vitro. Therefore, we infected A549 cells with 2000 virus particles (vp) per cell by HDAd/EGFP and FGAd/EGFP respectively and analyzed EGFP expressing level by flow cytometry. Consequently, the fluorescent expression rate and fluorescent intensity of EGFP were higher in early infected A549 cells by HDAd/EGFP than by FGAd/EGFP. HDAd, capable of expressing transgene instantly and efficiently in vitro, is a potential vaccine vector.
Adenoviridae ; genetics ; metabolism ; Cell Line, Tumor ; Genetic Vectors ; genetics ; Green Fluorescent Proteins ; genetics ; Helper Viruses ; genetics ; metabolism ; Humans ; Transgenes ; Viral Fusion Proteins ; genetics ; metabolism

Objective To study the effect of carbachol(CCH) on membrane potential of smooth muscle cells of gastric antrum of diabetic rats to verify the mechanism of gastric motility disturbance.Methods Fifty healthy Wistar rats of 2-month old,weighing 100-160 g,were divided into the control group(n=20) and diabetes mellitus group(n=30).Three months after the establishment of the rat model of diabetes by intraperitoneal injection of 60 mg/kg streptozotocin,gastric emptying time and gastric electrical activity were measured,and the resting membrane potentials of smooth muscle cells in antrum were measured by confocal laser scanning microscopy,then treated with carbachol of 10~(-9) mmol/L,10~(-8) mmol/L,10~(-7) mmol/L,the membrane potentials were measured.Results As compared with the normal rats,gastric emptying time in diabetic rats was significantly longer and abnormal gastric electric rhythm was significantly increased,the abnormal rhythm index(ARI) and the coefficient of variation(CV) of slow wave frequency in diabetic rats were significantly higher,but the resting membrane potentials remained unchanged and the sensitivity of CCH-induced membrane depolarization was increased.Conclusion The increase of sensitivity of CCH-induced membrane depolarization may be involved in the diabetes-induced gastric motor disorders.