Objective To select the strains which can produce tanshinone ⅡA like its host plant Salvia miltiorrhiza bung. Methods A total of 50 strains of endophytic fungi were isolated from healthy, living and symptomless tissues of Salvia miltiorrhiza bung, among which 29 strains were obtained from the root, 14 from the stem, 3 from the leaf, 3 from the flower and 1 from the seed. Their antimicrobial activities against nine different bacteria, including both Gram-negative and Gram-positive bacteria, were measured by Oxford plate agar diffusion bioassay. Results Our data showed that all but four strains had significant antibacterial activities on at least one indicator bacterium to some extent, and five strains (DR1, DR4, DR16, DR18 and DF2) manifested quite prominent antibacterial activities against certain pathogenic bacteria. In some degree, it might indicate that this endophytic fungus isolated from the tissues of Salvia miltiorrhiza bung has a potential value as a natural antibacterial medicine as well. Thin layer chromatography (TLC) and high-performance liquid chromatography (HPLC) were carried out to test selected strains, both inside and outside of the cell to see if any strain can produce tanshinone ⅡA. The result showed that extracts from three strains, labeled as DR12 (outside cell), DR21 (inside cell) and DF3 (inside cell), had a component with the same Rf value in TLC assay as that of authentic tanshinone ⅡA. The extract from DR12 (outside cell) and DR21 (inside cell) had a peak at retention time identical to that of authentic tanshinone ⅡA in HPLC. Conclusion The fungi appear to produce the bioactive compound tanshinone ⅡA, and they could be used to produce tanshinone ⅡA by fermentation. It provides a new way to synthesize this natural medicine.

Recent decades have seen the remarkable development of China in medical accessibility and quality index, and the application of a number of new advanced cardiovascular technologies benefits more patients. However, according to the Annual Report on Cardiovascular Health and Diseases in China published in this article, which was organized and summarized by National Center for Cardiovascular Diseases, there is still a huge population living with risk factors of cardiovascular diseases (CVD), and the morbidity and mortality of CVD are increasing. It is estimated that there are around 330 million patients suffering from CVD currently, including 245 million of hypertension, 13 million of stroke, 45.3 million of peripheral artery disease, 11.39 million of coronary heart disease (CHD), 8.9 million of heart failure, 5 million of pulmonary heart disease, 4.87 million of atrial fibrillation, 2.5 million of rheumatic heart disease, and 2 million of congenital heart disease. Tobacco use, diet and nutrition factors, physical activity, overweight and obesity, and psychological factors are what affect cardiovascular health, while hypertension, dyslipidemia, diabetes, chronic kidney disease, metabolic syndrome, and air pollution are the risk factors for CVD. In this article, in addition to risk factors for CVD, we also report the epidemiological trends of CVD, including CHD, cerebrovascular disease, arrhythmias, valvular heart disease, congenital heart disease, cardiomyopathy, heart failure, pulmonary vascular disease and venous thromboembolism, and aortic and peripheral artery diseases, as well as the basic research and medical device development in CVD. In a word, China has entered a new stage of transforming from high-speed development focusing on scale growth to high-quality development emphasizing on strategic and key technological development to curb the trend of increasing incidence and mortality of CVD.
Humans ; Cardiovascular Diseases/etiology* ; Hypertension/complications* ; Risk Factors ; Cardiomyopathies ; Heart Failure/complications* ; Heart Defects, Congenital/complications* ; Coronary Disease ; Atrial Fibrillation/complications*

Objective To study the correlation between ultrasonographic features of thyroid nodule and BRAFV600Emutation. Methods A total of 179 patients with 194 suspicious throid nodules were included in this study. They underwent ultrasound, biopsy, pathology and BRAFV600Emutation examination between October 2015 and February 2016 at Chinese PLA General Hospital. The size of nodules were (1.1±0.8) cm. The size, echo, boundary, shape aspect ratio, calcification and capsular invasion of nodules were investigated. The correlation between ultrasonographic features of thyroid nodule and BRAFV600Emutation analyzed by chis-square test and Logistic Regression analysis using statistical data as independent variable, BRAFV600Emutation as dependent variable. Results There were significant different in nodule′s ratio, boundary, capsular invasion characteristic between the BRAFV600Epositive group and the BRAFV600Enegative group(χ2=11.174,45.517,11.046,all P < 0.05),and these signs are possibly associated with BRAFV600Emutation by logistic regression model analysis(OR=2.276,95%CI:1.117-4.638, P < 0.05; OR=8.412, 95%CI: 3.836-18.448,P < 0.001; OR=2.582, 95%CI: 1.138-5.860,P < 0.05). Conclusions The ratio, boundary, capsular invasion characteristic of thyroid nodules are possibly associated with BRAFV600Emutation. These signs can be used to predict BRAFV600Emutation and facilitate subsequent treatment for such nodules.

Purpose To explore the differences of the accuracy of detection and recognition of thyroid nodules and the diagnostic efficacy of benign and malignant thyroid nodules via artificial intelligence(AI)ultrasound assisted systems based on different ultrasound parameters.Materials and Methods A total of 147 patients with 289 nodules who underwent thyroid surgery in the First Medical Center of Chinese PLA General Hospital from March 30,2023 to May 1,2023 were prospectively selected.Different ultrasound parameters were adjusted and the AI system was used to detect and diagnose benign and malignant thyroid nodules via each parameter.Taken pathological results as the gold standard,the accuracy of thyroid nodule detection and the accuracy of benign and malignant diagnosis under different ultrasound parameters were compared,respectively.Results Under the standard ultrasound parameters,the accuracy of AI system in detecting thyroid nodules was 94.1%,the sensitivity for benign and malignant diagnosis was 90.9%,the specificity was 79.6%,and the accuracy was 86.6%,respectively.In terms of detection accuracy,accuracy under low gain(χ2=4.453,P=0.035)and high gain(χ2=6.215,P=0.013)parameters of AI system were significantly lower than those of standard ultrasound parameters.In terms of diagnostic efficacy,specificity(χ2=4.620,P=0.032),accuracy(χ2=7.521,P=0.006),area under the curve(Z=3.102,P=0.001),high gain sensitivity(χ2=6.170,P=0.013),accuracy(χ2=4.127,P=0.042),area under the curve(Z=2.152,P=0.031)and high depth accuracy(χ2=5.011,P=0.025),area under the curve(Z=2.420,P=0.015)of low gain were all significantly reduced compared to standard ultrasound parameters,with statistical differences.Conclusion When using the AI system to assist in the examination of thyroid nodules,attention should be paid to the adjustment of ultrasound instrument parameters.Improper parameter adjustment may reduce the AI system's ability to detect thyroid nodules and the accuracy of benign and malignant diagnosis.