1.Study on the approach of promoting service trade of traditional Chinese medicine into Sri Lanka
Yichen HUANG ; Chengyu WANG ; Xinyang SONG
International Journal of Traditional Chinese Medicine 2019;41(1):5-7
Sri Lanka and China enjoy profound traditional friendship and active bilateral friendly cooperation. With the deepening of bilateral FTA negotiations, service trade of traditional Chinese enters into Sri Lanka is also promising. Though the current policy and law exists insufficiency, leveraging the FTA negotiations, TCM-Center binding Confucius Institute, providing TCM features and developing tour routes of medical tourism can help to push service trade of traditional Chinese medicine into Sri Lanka. The development of overseas Chinese medicine health services is not only benefit to the local, but also contribute to the new pattern of Chinese economic reformation.
2.A two-phase culture system for megakaryocyte differentiation of human mobilized peripheral blood CD34+ cells.
Qing LUO ; Guanbin SONG ; Chengyu ZOU
Journal of Biomedical Engineering 2010;27(2):373-378
In our study, a two-phase culture system was developed to acquire large amount of CD41+ and polyploidy cells. Human mobilized peripheral blood CD34+ (PB CD34+) cells were first cultured in expansion medium (Cocktail or CC100 medium) for 3,4,5 or 6 days, and then cultured in megakaryocytic differentiation medium containing TPO and SCF for additional 7, 8 or 9 days. Cell expansion, morphology, CD41+ cell percentage and DNA content were investigated to evaluate the protocol. The result showed that more CD41+ and polyploidy cells could be obtained following the two-phase culture with Cocktail medium than with CC100. Moreover, with 3 days expansion in Cocktail medium plus 7 days in differentiation medium, the initial CD 34+ cells obtained 16-fold expansion of CD41+ cells and 3-fold expansion of polyploidy cells, such obtained level being significantly higher than that of culturing cells with only one step in TPO or TPO+SCF. We conclude that with the two-phase culture system, PB CD34+ cells can expand and differentiate to more CD41+ and polyploidy cells than those cultured only in accordance to the one-stage culture protocol, so a new and highly efficient megakaryocyte differentiation model for megakaryocyte and platelet related researches is provided already.
Antigens, CD34
;
blood
;
Blood Cells
;
cytology
;
Cell Culture Techniques
;
methods
;
Cell Differentiation
;
physiology
;
Colony-Stimulating Factors
;
physiology
;
Hematopoietic Stem Cell Mobilization
;
methods
;
Humans
;
Megakaryocytes
;
cytology
;
Stem Cells
;
cytology
3.Analysis of trends and hot spots in the research of atrial fibrillation and cognitive impairment
Chengyu SONG ; Jingrong WANG ; Yumei WEN ; Zheng ZHU
Chinese Journal of General Practitioners 2022;21(11):1036-1042
Objective:To explore the research trends and hot spots of atrial fibrillation and cognitive impairment.Methods:Research papers and review articles related to atrial fibrillation and cognitive impairment was retrieved from the Web of Science core collection database from inception to November 17, 2021. The bibliometric and visualization analysis on the publishing times,journals and countries,related disciplines and key words was conducted with Excel and VOSviewer software.Results:A total of 1 496 articles were collected,showing a parabolic rise in the number of published articles in recent years. During this period,journal Stroke published more high quality articles in the field than others. The academic areas with the most publications were neurology, cardiovascular research, peripheral vascular disease and geriatrics. "Stroke" and "risk factors" were the keywords with the highest frequency. The research hot spots of atrial fibrillation and cognitive impairment mainly focused on anticoagulant drugs, mechanism research, epidemiology catheter ablation and status quo investigation. Conclusion:Through visualization, the development trend and research hot spots on atrial fibrillation and cognitive dysfunction are displayed intuitively, to provide reference for future studies.
4.The incidence of rotator cuff tear in proximal humeral fractures and its correlation with fracture type and age distribution
Chengyu ZHUANG ; Zhe CHEN ; Yanyan SONG ; Lei WANG ; Caiqi XU ; Yu CHEN ; Tingjun YE ; Jie CHEN
Chinese Journal of Orthopaedics 2017;37(21):1356-1360
Objective To evaluate the prevalence of full thickness rotator cuff tear in patients with proximal humeral fractures,and the relationships between different risk factors.Methods Data of 113 patients with proximal humeral fractures from January 2014 to January 2016 who underwent surgical treatment were retrospectively analyzed.The general characteristics of patients (age,sex,cause of injury) were recorded and the rotator cuff was evaluated preoperatively on MRI and explored intra-operatively.We calculated and compared the incidence rate of age,sex in patients with and without rotator cuff tear.And the incidence rate of rotator cuff tear in different types of fracture according to Neer classification was calculated.Results The full thickness ro tator cuff tear were indentified in 28 patients (24.8%),and 21 of them had been confirmed by MRI preoperatively.Statistical significant difference was found between patients with rotator cuff tear group (average of 75.11± 10.89 years old) and without rotator cuff tear group (64.68± 13.43) for the age of the patient.Full thickness rotator cuff tear was most common in Neer 3 GT fracture (33.3%,8/54),followed by Neer 2 GT (26.67%,4/15) and Neer 2 SN (17.65,6/34),however,no full thickness rotator was found in Neer 4 type fracture.There were 4 patients with total rotator cuff tear who had symptom of shoulder before the operation.The other 24 patients had no symptom of shoulder.Conclusion Patient age was found as a risk factor for full thickness rotator cuff tear in humeral proximal fractures with the rate of 24.8%.Full thickness rotator cuff tear was most common in Neer 3 GT fracture.
5.Research progress of tRNA-derived fragments as biomarkers for diagnostic and prognostic assessment of tumors
Lingying ZHANG ; Jiapaer ZEYIDAN ; Chengyu LI ; Shannan SONG ; Yuyan ZHANG ; Yongsheng LI
International Journal of Biomedical Engineering 2023;46(3):251-257
Cancer is the second-leading cause of death worldwide. Cancer mortality is largely caused by the absence of recognizable early signs and a poor prognosis. Therefore, developing efficient diagnostic and prognostic biomarkers is crucial to reducing the incidence of cancer and improving its prognostic accuracy. tRNA-derived fragments are a new class of non-coding RNAs with important regulatory roles in cancer biology. In this paper, the research progress of tRNA-derived fragments as biomarkers in tumorigenesis, development, and prognosis was reviewed to provide a theoretical basis for cancer diagnosis and prognostic assessment.
6.Analysis of paclitaxel concentration in rat plasma by Raman spectrums combined with partial least square.
Meiyu TENG ; Jia SONG ; Yi ZHAO ; Chengyu LU ; Gaoyang XING ; Lanzhou LI ; Guodong YAN ; Di WANG
Journal of Biomedical Engineering 2018;35(4):578-582
Partial least square (PLS) combining with Raman spectroscopy was applied to develop predictive models for plasma paclitaxel concentration detection. In this experiment, 312 samples were scanned by Raman spectroscopy. High performance liquid chromatography (HPLC) was applied to determine the paclitaxel concentration in 312 rat plasma samples. Monte Carlo partial least square (MCPLS) method was successfully performed to identify the outliers and the numbers of calibration set. Based on the values of degree of approach ( ), moving window partial least square (MWPLS) was used to choose the suitable preprocessing method, optimum wavelength variables and the number of latent variables. The correlation coefficients between reference values and predictive values in both calibration set ( ) and validation set ( ) of optimum PLS model were 0.933 1 and 0.926 4, respectively. Furthermore, an independent verification test was performed on the prediction model. The results showed that the correlation error of the 20 validation samples was 9.36%±2.03%, which confirmed the well predictive ability of established PLS quantitative analysis model.