1.Bone marrow mesenchymal stem cell-derived exosomes in the treatment of ischemic stroke
Yang JIN ; Yichen CAI ; Yunsha ZHANG ; Shixin XU
International Journal of Cerebrovascular Diseases 2022;30(5):369-374
Stem cell transplantation has great potential in the treatment of ischemic stroke, and bone marrow mesenchymal stem cells (BMSCs) are the most widely studied. Studies have shown that BMSCs mainly perform their functions in a paracrine manner, and the exosomes released by BMSCs show biological activities similar to BMSCs. As a cell-free therapy, BMSCs exosomes have made a lot of progress in the field of ischemic stroke. This article reviews the research progress of BMSCs-derived exosomes in the treatment of ischemic stroke.
2.Motion assistance analysis for robot-assisted tele-rehabilitation based on bilateral admittance control
Huanian CAI ; Sixian FEI ; Yichen ZHANG ; Qing SUN ; Shuai GUO ; Tao SONG
Chinese Journal of Rehabilitation Theory and Practice 2023;29(9):1104-1109
ObjectiveTo develop a bilateral rehabilitation robot motion assistance strategy based on admittance control, so that rehabilitation physicians can assist patients in rehabilitation training through remote teaching. MethodsA bilateral remote rehabilitation platform with upper limb terminal traction was constructed. Based on the velocity admittance control, the interactive movement between the master robot and the rehabilitation physician was realized, and the position information transmission of the master-slave robot was realized through the communication framework built. The slave robot received the position coordinates of the main robot, and drove the patient to carry out rehabilitation exercises under the attitude admittance controller. ResultsThe robot could drive the patient to accurately track the trajectory of the doctor's teaching in real time, and improve the safety and compliance of the training and human-computer interaction. ConclusionBy introducing two admittance controllers, the trajectory of the physician's end can be accurately tracked when driving the patient's movement from the robotic arm, which effectively avoids the discomfort of the patient's arm in process of rehabilitation.
3.Interpretation of the Gallbladder reporting and data system (GB-RADS) for risk stratification of gallbladder wall thickening on ultrasonography: an international expert consensus
Ziyi YANG ; Shilei LIU ; Chen CAI ; Ziyou WU ; Yichen XIONG ; Wei GONG
Chinese Journal of Digestive Surgery 2022;21(7):852-857
In February 2022, the world′s first gallbladder reporting and data system (GB-RADS) for the assessment of gallbladder wall thickening on ultrasonography was published in the form of an international expert consensus. The GB-RADS system classifies gallbladder wall thickening into six levels (GB-RADS 0?5), with gradually increasing risk of malignancy. It is mainly based on the following features: symmetry and extent (focal versus circumferential) of involvement, layered appearance, intramural features (including intramural cysts and echogenic foci), and interface with the liver. The proposed system is important for the standardized diagnosis and treatment of gallbladder diseases. The authors interpret the consensus, introduce the evaluation points and classification standards, and suggest the future applications and research directions.
4.Invasiveness assessment by CT quantitative and qualitative features of lung cancers manifesting ground-glass nodules in 555 patients: A retrospective cohort study
Yantao YANG ; Wei WANG ; Yichen YANG ; Biying WANG ; Huilian HU ; Ziqi JIANG ; Dezhong CAI ; Yaowu DUAN ; Jiezhi JIANG ; Jia LUO ; Guangqiang ZHAO ; Yunchao HUANG ; Lianhua YE
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2024;31(01):51-58
Objective To explore the correlation between the quantitative and qualitative features of CT images and the invasiveness of pulmonary ground-glass nodules, providing reference value for preoperative planning of patients with ground-glass nodules. Methods The patients with ground-glass nodules who underwent surgical treatment and were diagnosed with pulmonary adenocarcinoma from September 2020 to July 2022 at the Third Affiliated Hospital of Kunming Medical University were collected. Based on the pathological diagnosis results, they were divided into two groups: a non-invasive adenocarcinoma group with in situ and minimally invasive adenocarcinoma, and an invasive adenocarcinoma group. Imaging features were collected, and a univariate logistic regression analysis was conducted on the clinical and imaging data of the patients. Variables with statistical difference were selected for multivariate logistic regression analysis to establish a predictive model of invasive adenocarcinoma based on independent risk factors. Finally, the sensitivity and specificity were calculated based on the Youden index. Results A total of 555 patients were collected. The were 310 patients in the non-invasive adenocarcinoma group, including 235 females and 75 males, with a meadian age of 49 (43, 58) years, and 245 patients in the invasive adenocarcinoma group, including 163 females and 82 males, with a meadian age of 53 (46, 61) years. The binary logistic regression analysis showed that the maximum diameter (OR=4.707, 95%CI 2.060 to 10.758), consolidation/tumor ratio (CTR, OR=1.027, 95%CI 1.011 to 1.043), maximum CT value (OR=1.025, 95%CI 1.004 to 1.047), mean CT value (OR=1.035, 95%CI 1.008 to 1.063), spiculation sign (OR=2.055, 95%CI 1.148 to 3.679), and vascular convergence sign (OR=2.508, 95%CI 1.345 to 4.676) were independent risk factors for the occurrence of invasive adenocarcinoma (P<0.05). Based on the independent predictive factors, a predictive model of invasive adenocarcinoma was constructed. The formula for the model prediction was: Logit(P)=–1.293+1.549×maximum diameter of lesion+0.026×CTR+0.025×maximum CT value+0.034×mean CT value+0.72×spiculation sign+0.919×vascular convergence sign. The area under the receiver operating characteristic curve of the model was 0.910 (95%CI 0.885 to 0.934), indicating that the model had good discrimination ability. The calibration curve showed that the predictive model had good calibration, and the decision analysis curve showed that the model had good clinical utility. Conclusion The predictive model combining quantitative and qualitative features of CT has a good predictive ability for the invasiveness of ground-glass nodules. Its predictive performance is higher than any single indicator.
5.mTORC2/RICTOR exerts differential levels of metabolic control in human embryonic, mesenchymal and neural stem cells.
Qun CHU ; Feifei LIU ; Yifang HE ; Xiaoyu JIANG ; Yusheng CAI ; Zeming WU ; Kaowen YAN ; Lingling GENG ; Yichen ZHANG ; Huyi FENG ; Kaixin ZHOU ; Si WANG ; Weiqi ZHANG ; Guang-Hui LIU ; Shuai MA ; Jing QU ; Moshi SONG
Protein & Cell 2022;13(9):676-682
6.Correction to: mTORC2/RICTOR exerts differential levels of metabolic control in human embryonic, mesenchymal and neural stem cells.
Qun CHU ; Feifei LIU ; Yifang HE ; Xiaoyu JIANG ; Yusheng CAI ; Zeming WU ; Kaowen YAN ; Lingling GENG ; Yichen ZHANG ; Huyi FENG ; Kaixin ZHOU ; Si WANG ; Weiqi ZHANG ; Guang-Hui LIU ; Shuai MA ; Jing QU ; Moshi SONG
Protein & Cell 2022;13(12):961-961