This study aimed to characterize and identify the non-volatile components in aqueous and ethanolic extracts of the stems and leaves of Rhododendron tomentosum by using sensitive and efficient ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS) combined with a self-built information database. By comparing with reference compounds, analyzing fragment ion information, searching relevant literature, and using a self-built information database, 118 compounds were identified from the aqueous and ethanolic extracts of R. tomentosum, including 35 flavonoid glycosides, 15 phenolic glycosides, 12 flavonoids, 7 phenolic acids, 7 phenylethanol glycosides, 6 tannins, 6 phospholipids, 5 coumarins, 5 monoterpene glycosides, 6 triterpenes, 3 fatty acids, and 11 other types of compounds. Among them, 102 compounds were reported in R. tomentosum for the first time, and 36 compounds were identified by comparing them with reference compounds. The chemical components in the ethanolic and aqueous extracts of R. tomentosum leaves and stems showed slight differences, with 84 common chemical components accounting for 71.2% of the total 118 compounds. This study systematically characterized and identified the non-volatile chemical components in the ethanolic and aqueous extracts of R. tomentosum for the first time. The findings provide a reference for active ingredient research, quality control, and product development of R. tomentosum.
Rhododendron/chemistry* ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Plant Leaves/chemistry*

BACKGROUND AND OBJECTIVE: Hypertension (HT) and atrial fibrillation (AF) are highly prevalent cardiovascular conditions that frequently coexist. Coronary artery disease (CAD) is a major global cause of mortality. The co-occurrence of HT, AF, and CAD presents significant management challenges. This study aims to explore the clinical characteristics and risk factors associated with CAD in patients with HT and persistent AF (HT-AF). METHODS: In this retrospective cross-sectional study, data were collected from 384 hospitalized HT-AF patients at the People's Liberation Army General Hospital between January 2010 and December 2019. CAD diagnosis was confirmed by coronary angiography or computed tomography angiography. Clinical characteristics and comorbidities were compared between patients with and without CAD. Multivariate logistic regression analyses were performed to identify independent risk factors associated with CAD development. RESULTS: The prevalence of CAD among HT-AF patients was 66.41% (255/384). Cardiovascular complications, particularly heart failure (44.7% vs 25.6%, P < 0.05), were significantly more prevalent in the CAD group than in the non-CAD group. Only age was identified as an independent risk factor for CAD (adjusted OR: 1.047; 95% CI: 1.022-1.073; P = 0.000). Of all HT-AF patients, 54.7% had a CHA₂DS₂-VASc score of ≥4, indicating high stroke risk. There was a slightly higher anticoagulant usage rate in the CAD group than those without CAD (8.6% vs 4.7%, P = 0.157), and the overall anticoagulant usage remained low. CONCLUSION: There is a high prevalence of CAD among hospitalized HT-AF patients, among whom age is the sole independent risk factor for CAD. Despite a high stroke risk, the utilization of oral anticoagulants is alarmingly low.
Humans ; Atrial Fibrillation/epidemiology* ; Coronary Artery Disease/etiology* ; Hypertension/epidemiology* ; Male ; Female ; Risk Factors ; Middle Aged ; Retrospective Studies ; Cross-Sectional Studies ; Aged ; Prevalence

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective:To determine whether the Rb1 of ginsenoside has protective effects on PA induced oxidative stress in endothelial cells.Methods:Established a model of palmitic acid-induced oxidative stress injury in human umbilical vein endothelial cells(HUVECs).Using MTT assay,flow cytometry,fluorescent probe staining,and Western blot analysis to detect whether Rb1 of ginsenoside has effects on the cell viability,apoptosis rate,ROS and NO production,mitochondrial membrane potential,and the expression levels of related proteins.Results:MTT assay and flow cytometry revealed that ginsenoside Rb1 can reduce PA-induced apoptosis in HUVECs(P＜0.05).The mechanism may be related to the following two points:(1)reducing ROS production and increasing NO levels,thereby enhancing the antioxidant capacity of HUVECs;(2)regulating the expression of Bcl-2 family proteins,increasing the BCL-2/Bax ratio(P＜0.05),modulating mitochondrial membrane permeability,reducing cytochrome C release(P＜0.001),and decreasing Caspase protein activation(P＜0.01),thereby attenuating PA-induced apoptosis.Conclusion:After the stimulation with PA,ROS production in human umbilical vein endothelial cells increased while NO content and cell activity decreased,oxidative stress induced apoptosis in cells.By regulating the production of ROS and NOx stabilizing the mitochondrial transmembrane potential,reducing the leakage of cytochrome C,Ginsenoside Rb1 can reduce HUVECs apoptosis induced by PA.

Objective:To determine whether the Rb1 of ginsenoside has protective effects on PA induced oxidative stress in endothelial cells.Methods:Established a model of palmitic acid-induced oxidative stress injury in human umbilical vein endothelial cells(HUVECs).Using MTT assay,flow cytometry,fluorescent probe staining,and Western blot analysis to detect whether Rb1 of ginsenoside has effects on the cell viability,apoptosis rate,ROS and NO production,mitochondrial membrane potential,and the expression levels of related proteins.Results:MTT assay and flow cytometry revealed that ginsenoside Rb1 can reduce PA-induced apoptosis in HUVECs(P＜0.05).The mechanism may be related to the following two points:(1)reducing ROS production and increasing NO levels,thereby enhancing the antioxidant capacity of HUVECs;(2)regulating the expression of Bcl-2 family proteins,increasing the BCL-2/Bax ratio(P＜0.05),modulating mitochondrial membrane permeability,reducing cytochrome C release(P＜0.001),and decreasing Caspase protein activation(P＜0.01),thereby attenuating PA-induced apoptosis.Conclusion:After the stimulation with PA,ROS production in human umbilical vein endothelial cells increased while NO content and cell activity decreased,oxidative stress induced apoptosis in cells.By regulating the production of ROS and NOx stabilizing the mitochondrial transmembrane potential,reducing the leakage of cytochrome C,Ginsenoside Rb1 can reduce HUVECs apoptosis induced by PA.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

OBJECTIVE: To investigate the efficacy of posterior three-columns osteotomy in the treatment of severe tuberculous angular kyphosis. METHODS: Total of 33 patients with severe tuberculous angular kyphosis were treated with posterior three-columns osteotomy from January 2006 to January 2019 including 24 males and 9 females with an average age of (40.6±23.3) years old ranging from 15 to 62 years old and an average disease duration of (23.5±15.5) years ranging from 4 to 40 years. The Cobb's angle of kyphosis was (118.65±28.82)°. Interradicular bone-disc-bone osteotomy(BDBO), posterior-only vertebral column resection (PVCR) and posterior multilevel vertebral osteotomy (PMVO) were performed to correct spinal deformity individually. The visual analogue scale (VAS), Oswestry disability index (ODI), sagittal vertical axis (SVA), ASIA spinal cord functional classification and motor function score, and deformity correction rate were measured and statistically analyzed before, after and at the final follow-up. RESULTS: Total of 33 patients were followed up from 15 to 96 months with an average of (38.00±6.38) months. The last follow-up of kyphosis Cobb angle (23.88±5.45)° showed no significant loss from postoperative 12 months (20.40±9.13)°, P>0.05. The SVA, VAS, ODI and ASIA spinal cord functional classification and motor function score were significantly improved at 1 year and last follow-up after operation(P<0.01). The fusion time of the osteotomy site was (18.50±5.16) months. The ASIA classification of 15 patients with spinal cord injury were improved by at least 2 grades after operation, and their daily life and work ability were various levels of restored. Postoperative complications of spinal cord injury occurred in 3 cases. CONCLUSION Posterior three-columns osteotomy is the most effective method for the treatment of angular kyphosis of spinal tuberculosis.Careful preoperative design and individualized osteotomy can not only correct the deformity, but also a successful decompression to the spinal cord and promote the recovery of spinal cord function.
Humans ; Male ; Female ; Osteotomy/methods* ; Kyphosis/surgery* ; Adult ; Adolescent ; Middle Aged ; Young Adult ; Tuberculosis, Spinal/complications* ; Treatment Outcome

AIM To study the phenylpropanoids from Brandisia hancei Hook.f.and their antioxidant activities.METHODS The extract from B.hancei was isolated and purified by Rp-C18,MCI,semi-preparative HPLC,silica gel and Sephadex LH-20,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The cytotoxicities was determined by MTT method,and the antioxidant activities were determined by DPPH and ABTS+free radical scavenging methods.RESULTS Fifteen phenylpropanoids were isolated and identified as(+)-pinonesinol(1),(-)-medioresinol(2),(-)-syringaresinol(3),buddlenol D(4),(7R,7'R,7″S,8S,8'S,8″S)-4',5″-dihydroxy-3,5,3',4″-tetramethoxy-7,9':7',9-diepoxy-4,8″-oxy-8,8'-sesquineo-lignan-7″,9″-diol(5),(-)-(7R,7'R,7″R,8S,8'S,8″S)-4',4″-dihydroxy-3,3',3″,5-tetramethoxy-7,9':7',9-diepoxy-4,8″-oxy-8,8'-sesquineolignan-7″,9″-diol(6),hedyotol A(7),dracunculifoside R(8),acteoside(9),isoacteoside(10),arenarioside(11),isomartynoside(12),curcasinlignan B(13),erythro-2,3-bis(4-hydroxy-3-methoxyphenyl)-3-ethoxypropan-l-ol(14),citrusin C(15).Compounds 1-4 and 9-10 had no obvious cytotoxicity to HepG2 hepatoma cells.Compounds 1,3,9,10 and 12 had strong scavenging activities against DPPH radicals.Compounds 1-3,9-10,12 and 14 showed strong scavenging activities against ABTS+radical.CONCLUSION Compounds 1-8 and 12-15 are isolated from genus Brandisia for the first time.The phenylpropanoids from B.hancei show strong antioxidant activities.

Objectives To explore the feasibility of temporary veno-venous extracorporeal membrane oxygenation(VV-ECMO)technology for early on-site treatment,through establishing an animal model of severe blast lung injury in goats by free-field chemical explosion experiments in high-altitude regions.Methods A total of 16 adult goats were selected,and divided into the control group and the treatment group according to the random number table method,with 8 goats in each group.A model of severe blast lung injury was established at an altitude of 4 600 meters above sea level,then the goats in the control group were given respiratory support and the goats in the treatment group were given temporary VV-ECMO treatment.The survival status of the goats 15 minutes after injury was recorded,the vital signs[including body temperature,respiration rate,heart rate,and mean arterial pressure(MAP)]and arterial blood gas analysis indicators[including pH,arterial partial pressure of oxygen(PO2),arterial partial pressure of carbon dioxide(PCO2),oxygen saturation(SaO2),lactate(LAC),calcium(Ca2+),hematocrit(HCT),and hemoglobin(Hb)]before injury and 1 hour,2 hours,3 hours after injury were compared in the two groups.The post-mortem examination was performed on all dead goats and sacrificed goats after treatment,the severity of lung injury was assessed by organ injury scaling(OIS),and the lung injury score was evaluated by abbreviated injury scale(AIS).The wet-to-dry weight ratio(W/D)and lung coefficient were calculated.Results Within 15 minutes after the explosion,4 goats in the control group died and 4 goats survived;and 5 goats in the treatment group died and 3 goats survived.There was no statistically significant difference in the body temperature,respiration rate,heart rate,or MAP before and after injury between the two groups(P>0.05).The PaO2 and SaO2 1 hour,2 hours,and 3 hours after injury in the treatment group were superior than those in the control group(P<0.05),the Ca2+ 2 hours after injury was significantly higher than that in the control group(P<0.05),and there was no statistically significant difference in the pH,PCO2,LAC,HCT or Hb at different time points after injury between the two groups(P>0.05).There was no statistically significant difference in the OIS,AIS or lung coefficient between the two groups(P>0.05),but the W/D of the lung tissue in the control group was lower than that in the treatment group(P<0.05).Conclusion We have established a novel,feasible,and stable treatment effect temporary VV-ECMO animal treatment strategy for the first time in the high-altitude regions,which can provide animal experiment evidence for the early on-site VV-ECMO treatment of severe blast lung injury in high-altitude regions.

OBJECTIVE To provide a detailed report and interpretation of the method and results for determining the weights of the technical indicators from the “multi-dimensional and multi-criteria comprehensive evaluation index system （first edition）” stated in Guideline for Multi-dimensional and Multi-criteria Comprehensive Evaluation of Chinese Patent Medicine. METHODS Normalization calculations were performed on the comprehensive weight values calculated by the analytic hierarchy process and expert weighting method to obtain the objective weights of the indicators. RESULTS The weight results of the six primary dimensions in the current comprehensive evaluation indicator system of Chinese patent medicine showed effectiveness dimension＞ safety dimension＞standard dimension＞application dimension＞scientific dimension＞economic dimension， with weight values of 0.281 0， 0.268 5， 0.195 8， 0.107 3， 0.096 1 and 0.051 3 respectively， consistent with the results of most researches currently. CONCLUSIONS The process of weight determination in this indicator system is scientifically reasonable， with clear methods and clear interpretations， and is worthy of further optimization and widespread application.