1.Effects of individualized exercise on the cardiopulmonary functioning of senile persons with chronic obstructive pulmonary disease
Qianqian ZHANG ; Zhigang LIU ; Jinjuan LIU ; Ruiyang DING ; Lili BAO
Chinese Journal of Physical Medicine and Rehabilitation 2023;45(3):238-242
Objective:To explore any effect of following an individualized exercise program on the cardio-pulmonary health of elderly persons with stable chronic obstructive pulmonary disease (COPD).Methods:A total of 120 elderly COPD patients were randomly divided into an experimental group and a control group, each of 60. Both groups were given medication and routine rehabilitation treatment for 3 months, but the experimental group also followed an individualized exercise program based on the cardiopulmonary exercise test. Before and after the treatment, Borg scoring was used to assess the subjects′ degree of dyspnea. Forced expiratory volume (FEV 1), forced vital capacity (FVC), maximum oxygen uptake (VO 2max), anaerobic threshold (AT), heart rate (HR) and a heart index (CI) were also recorded. The 6-minute walk test (6 MWD) was administered to evaluate the rehabilitation effect. Results:There were no significant differences in the average Borg scores, cardiopulmonary function indexes or 6MWD distances between the two groups before treatment. After the treatment significant improvement was observed in all of the measurements in both groups, but at that point all of the experimental group′s averages were better than those of the control group.Conclusion:Individualized exercise based on the cardiopulmonary exercise test can alleviate the symptoms of dyspnea in elderly COPD patients, improve their cardiopulmonary functioning and exercise endurance and improve the rehabilitation effect.
2.The effect of oxycodone on postoperative acute pain in patients undergoing thoracoscopic surgery
Ruiyang DING ; Zongbin SONG ; Zhuoyi LIU ; Zhenping ZHAI ; Zhigang CHENG ; Qulian GUO
Journal of Chinese Physician 2023;25(11):1610-1614
Objective:To retrospectively observe the effect of oxycodone on acute postoperative pain in patients undergoing thoracoscopic surgery.Methods:A retrospective analysis was conducted on the clinical data of 404 patients undergoing thoracoscopic thoracic surgery under combined general anesthesia at the Xiangya Hospital, Central South University from April 1, 2020 to September 30, 2021. They were divided into A group ( n=99, oxycodone group) and B group ( n=305, control group) based on whether oxycodone was used during the surgery. The two groups of patients were further matched 1∶1 using the nearest neighbor matching method. We compared the Visual Analogue Scale (VAS) of activity and resting pain and the incidence of moderate to severe pain between two groups of patients 24 hours after surgery, and observed the incidence and severity of pain related adverse reactions such as nausea, vomiting, itching, and dizziness. Resultsl:After matching the propensity scores of the two groups of patients, the balance was good ( SMD<0.20). There was no statistically significant difference between the groups in age, gender, body mass index, American Society of Anesthesiologist (ASA) grade, surgical time, intraoperative bleeding, and the use of antiemetics and analgesics during the perioperative period (all P>0.05). Compared with the control group, patients in the group A had a resting VAS [(2.03±1.61)points vs (1.62±1.31)points, P=0.049], and activity VAS [(4.13±1.72)points vs (3.51±1.79)points, P=0.013] was even lower, and the incidence of moderate to severe pain (VAS≥4) during activity was lower [59.6%(59/99) vs 37.4%(37/99), P=0.003]. There was no statistically significant difference in the incidence of analgesic related adverse reactions between the two groups ( P>0.05). Conclusions:Intravenous injection of oxycodone can effectively alleviate acute pain in patients undergoing thoracoscopic surgery within 24 hours, and reduce the incidence of moderate to severe pain during activity.
3.Analysis of transcriptional factors expression profile during dedifferentiation of liver cell cultured in vitro.
Ruiyang LI ; Yunzhi WANG ; Rui GE ; Wenhao SHI ; Chen DING
Chinese Journal of Biotechnology 2018;34(2):294-302
Primary hepatocytes are widely used in drug metabolism and toxicity assessment. As the culture of primary hepatocytes in vitro is a process of dedifferentiation, hepatocytes lose normal metabolic detoxification function gradually. The mechanism of hepatocyte dedifferentiation has been not clear so far. TFs play an important role in the dedifferentiation and non-parenchymal cells can maintain the function of hepatocytes in vitro. However, the current methods cannot be used in effective identification and quantitative analysis of a large number of TFs. In this paper, the mo-culture system (only primary hepatocytes) and co-culture system (primary hepatocytes and non-parenchymal cells) were established. The cells were cultured for 24 h, 48 h, 72 h as monolayer. The changes of TFs during the culture were obtained by TOT (Transcription factor response elements on tip) transcription factor enrichment method and mass spectrometry. A total of 219 TFs were identified in three individual replicates. The result revealed that up-regulated TFs were enriched in cell proliferation, death and immune response pathways, and down-regulated TFs were involved in metabolism pathway. The establishment of such culture-TFs identification system is of great significance to reveal the mechanism of primary hepatocyte dedifferentiation and crosstalk between hepatocytes and non-parenchymal cells.
4.Design and Implementation of Software Platform for AI-ECG Algorithm Research.
Ruiyang YAN ; Xiaoman DING ; Xintao DENG ; Aiguo WANG ; Cuiwei YANG
Chinese Journal of Medical Instrumentation 2021;45(6):616-621
A software platform for AI-ECG algorithm research is designed and implemented to better serve the research of ECG artificial intelligence classification algorithm and to solve the problem of subjects data information management. Matlab R2019b and MySQL Sever 8.0 are used to design the software platform. The software platform is divided into three modules including data management module, data receiving module and data processing module. The software platform can be used to query and set the subjects information. It has realized the functions of data receiving, signal processing and the display, analysis and storage of ECG data. The software platform is easy to operate and meets the basic needs of scientific research. It is of great significance to the research of AI-ECG algorithm.
Algorithms
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Artificial Intelligence
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Electrocardiography
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Humans
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Signal Processing, Computer-Assisted
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Software
5.Research advances of encapsulation and co-delivery modes during islet transplantation
Zuhan CHEN ; Ruiyang MA ; Jingwen WANG ; Huanjing BI ; Xiaoming DING
Chinese Journal of Organ Transplantation 2023;44(8):502-507
This review summarized the latest advances in islet transplantation, islet encapsulation and co-delivery strategies of cell and growth factors.
6. Prospective study of relationship between metabolic diseases and stroke in Jinchang Cohort
Xiaoyu REN ; Dian SHI ; Desheng ZHANG ; Jiao DING ; Haiyan LI ; Ting GAN ; Ruiyang PU ; Yana BAI ; Ning CHENG
Chinese Journal of Epidemiology 2019;40(5):521-525
Objective:
To understand the incidence of stroke in the population of Jinchang Cohort and the relationship between metabolic diseases and stroke, and provide scientific evidence for the prevention and treatment of stroke in the population.
Methods:
The epidemiological investigation data and physical examination data of the 33 042 follow-up participants in Jinchang Cohort were collected for a prospective cohort study. Restricted cubic splines functions was used to analyze the dose-response relationship between metabolic indexes and the risk of stroke incidence.
Results:
1) The incidence rate of stroke in Jinchang Cohort was 1.59%, and the standardized incidence rate was 3.99%. 2) Hypertension (male
7.Analysis of the molecular mechanism of pancreatic islet ischemic injury and identification of core transcription factors based on single-cell transcriptomics
Boqing DONG ; Ying WANG ; Chenge WANG ; Huanjing BI ; Jingwen WANG ; Ruiyang MA ; Jin ZHENG ; Wujun XUE ; Xiaoming DING ; Yang LI
Organ Transplantation 2024;15(6):920-927
Objective To explore the molecular mechanisms and cell-cell interactions in the injury process of pancreatic islet transplantation. Methods Single-cell transcriptome data from mouse islets treated with inflammatory factors were used, and data processing was performed using the Seurat package, with integrated data to remove batch effects. Cell subpopulations were annotated based on known markers. Cell-cell interactions in the inflammatory factor-treated group were analyzed using the CellChat package, and inferred based on the expression of cell surface receptors and ligands. Gene set enrichment analysis was used to clarify the biological processes enriched in β-cells after treatment with inflammatory factors. Finally, differentially expressed transcription factors were identified and verified using microarray datasets of donor islet ischemic injury and Western blotting. Results A total of 7 different cell subpopulations were found in mouse islets, with β-cells being the most abundant. Cell-cell interaction network analysis showed that the number and strength of interactions between ductal cells and other cells were the highest. Gene set enrichment analysis showed that after treatment with inflammatory factors, the immune response was positively enriched in β-cells, while peptide hormone metabolism, bile acid metabolism, and ion homeostasis were downregulated. The common differential transcription factors identified in the mouse single-cell transcriptome and the microarray dataset of donor islet ischemic injury were early growth response 1 (EGR1), nuclear factor-κB inhibitor α (NFKBIA), and activating transcription factor 3 (ATF3). Among them, NFKBIA and ATF3 were upregulated, while EGR1 was downregulated. The expression of EGR1 protein was downregulated after 24 h, 48 h, and 72 h of cold ischemia. Conclusions EGR1 is a transcription factor closely related to islet cold ischemia, and future research should focus on the specific mechanisms of EGR1 and its downstream target genes, in order to provide more effective strategies for clinical treatment of islet transplantation.