Sugar-sugar glycosyltransferases play important roles in constructing complex and bioactive saponins. Here, we characterized a series of UDP-glycosyltransferases responsible for biosynthesizing the branched sugar chain of bioactive steroidal saponins from a widely known medicinal plant Paris polyphylla var. yunnanensis. Among them, a 2'-O-rhamnosyltransferase and three 6'-O-glucosyltrasferases catalyzed a cascade of glycosylation to produce steroidal diglycosides and triglycosides, respectively. These UDP-glycosyltransferases showed astonishing substrate promiscuity, resulting in the generation of a panel of 24 terpenoid glycosides including 15 previously undescribed compounds. A mutant library containing 44 variants was constructed based on the identification of critical residues by molecular docking simulations and protein model alignments, and a mutant UGT91AH1^Y187A with increased catalytic efficiency was obtained. The steroidal saponins exhibited remarkable antifungal activity against four widespread strains of human pathogenic fungi attributed to ergosterol-dependent damage of fungal cell membranes, and 2'-O-rhamnosylation appeared to correlate with strong antifungal effects. The findings elucidated the biosynthetic machinery for their production of steroidal saponins and revealed their potential as new antifungal agents.

Objective:To investigate the ethics and existing problems of experimental animals in medical experiments and experimental teaching, and to formulate countermeasures so that animal ethics and animal welfare can be truly reflected in medical experiments.Methods:In this study, a "Basic Function Experiment Center Animal Experiment Questionnaire" with 25 questions was formulated from three aspects: the ethical cognition of experimental animals, whether animal experiments are ethical or not, how to view the problems of animal ethics and experimental teaching and the cognition of virtual simulation experiment teaching. Questionnaire was sent to Hubei University of Medicine to investigate the international students of Batch 2017 (5-year program), undergraduates of Batch 2017 (5-year program) and nursing students of Batch 2018 (4-year program) as well as teachers, researchers and employees of laboratory animal center (all with bachelor degree or above). The survey results were expressed as percentage.Results:The recovery rate of the questionnaire in this study was 98.04%(2 451/2 500), among which the practitioners, teachers and researchers in the laboratory animal center clearly understood the ethics of experimental animals, but there was a widespread phenomenon of lagging ethics among the students. For example, 16.24% (398/2 451) students had not received animal experiment ethics education and training, 29.46% (722/2 451) were not clear about animal protection laws and regulations, 7.14% (175/2 451) thought animal experiments were immoral; 29.54% (724/2 451) had vague cognition of animal welfare and ethical knowledge; 25.91% (635/2 451) were not familiar with the operation steps; 9.38% (230/2 451) were indifferent to the extra treatment of animals due to operation errors, 7.83% (192/2 451) chose to give up the experiment in the treatment of animals after massive bleeding, only 5.43% (133/2 451) chose to continue the experiment after timely hemostasis and infusion, and 9.26% (227/2 451) chose to do operations unrelated to the experiment. After the experiment, 2.28% (56/2 451) chose to kill the animals by bloodletting, only 5.51% (135/2 451) chose excessive anesthesia euthanasia, and 1.96% (48/2 451) chose to kill the animals by cervical dislocation and violence. Only 15.79% (387/2 451) chose to remember the dead animal for 2 minutes. Only 32.56%(798/2 451) of the respondents understood virtual simulation experiment, 34.92% (856/2 451) of the respondents thought that virtual simulation experiment or experimental teaching video could be used to replace the existing live animal experiment, 77.56% (1 901/2 451) believed that the construction of virtual simulation laboratory should be strengthened.Conclusion:It is imperative to strengthen the education of students' ethics of experimental animals, which is conducive to the establishment of correct ethics of experimental animals for medical students, so that the "3R" principle and animal welfare can be truly implemented in experimental teaching and scientific research experiments.

Wearable monitoring, which has the advantages of continuous monitoring for a long time with low physiological and psychological load, represents a future development direction of monitoring technology. Based on wearable physiological monitoring technology, combined with Internet of Things (IoT) and artificial intelligence technology, this paper has developed an intelligent monitoring system, including wearable hardware, ward Internet of Things platform, continuous physiological data analysis algorithm and software. We explored the clinical value of continuous physiological data using this system through a lot of clinical practices. And four value points were given, namely, real-time monitoring, disease assessment, prediction and early warning, and rehabilitation training. Depending on the real clinical environment, we explored the mode of applying wearable technology in general ward monitoring, cardiopulmonary rehabilitation, and integrated monitoring inside and outside the hospital. The research results show that this monitoring system can be effectively used for monitoring of patients in hospital, evaluation and training of patients' cardiopulmonary function, and management of patients outside hospital.
Humans ; Artificial Intelligence ; Internet of Things ; Wearable Electronic Devices ; Monitoring, Physiologic/methods* ; Electrocardiography ; Internet

OBJECTIVE To explore the antitumor effect and mechanism of total alkaloids of Gelsemium elegans （TA） and sempervirine （SPV） in vitro. METHODS The effects of low， medium and high concentrations of TA （50， 100， 200 μg/mL） and SPV （10， 30， 50 μmol/L） on the morphology of human hepatoma cells （HepG2， Bel-7402）， human lung cancer cells （A549） and human colon cancer cells （HCT-8） were observed， and the toxicity of TA and SPV to four tumor cells was monitored. The effects of TA and SPV on the contents of caspase-3 and caspase-9 in the supernatant of HCT-8 cells， the protein expressions of phosphorylated protein kinase B （p-Akt） （Thr308， Ser473）， B-cell lymphoma 2 （Bcl-2）， Bcl-2-related X protein （Bax）， survivin， C/EBP-homologous protein （CHOP）， immunoglobulin binding protein （Bip） and microtubule-associated protein 1 light chain 3Ⅱ （LC3Ⅱ） in HCT-8 cells were detected. RESULTS After the intervention of TA and SPV， the volume reduction and nuclear shrinkage were founded in four tumor cells； the cell activity decreased to varying degrees， among which TA and SPV had the best inhibitory effect on HCT-8 cells. After the intervention of TA and SPV， the contents of caspase-3 and caspase-9 in the supernatant of HCT-8 cells， the protein expressions of Bax， CHOP， Bip and LC3Ⅱ all increased to different degrees， while the protein expressions of p-Akt （Thr308， Ser473）， Bcl-2 and survivin in HCT-8 cells all decreased to different degrees. CONCLUSIONS TA and SPV have inhibitory effects on the above four tumor cells， and the inhibitory effect on HCT-8 cells is the best. The mechanism of their action on HCT-8 cells may be related to promoting apoptosis， activating endoplasmic reticulum stress and autophagy.

Breathing pattern parameters refer to the characteristic pattern parameters of respiratory movements, including the breathing amplitude and cycle, chest and abdomen contribution, coordination, etc. It is of great importance to analyze the breathing pattern parameters quantificationally when exploring the pathophysiological variations of breathing and providing instructions on pulmonary rehabilitation training. Our study provided detailed method to quantify breathing pattern parameters including respiratory rate, inspiratory time, expiratory time, inspiratory time proportion, tidal volume, chest respiratory contribution ratio, thoracoabdominal phase difference and peak inspiratory flow. We also brought in "respiratory signal quality index" to deal with the quality evaluation and quantification analysis of long-term thoracic-abdominal respiratory movement signal recorded, and proposed the way of analyzing the variance of breathing pattern parameters. On this basis, we collected chest and abdomen respiratory movement signals in 23 chronic obstructive pulmonary disease (COPD) patients and 22 normal pulmonary function subjects under spontaneous state in a 15 minute-interval using portable cardio-pulmonary monitoring system. We then quantified subjects' breathing pattern parameters and variability. The results showed great difference between the COPD patients and the controls in terms of respiratory rate, inspiratory time, expiratory time, thoracoabdominal phase difference and peak inspiratory flow. COPD patients also showed greater variance of breathing pattern parameters than the controls, and unsynchronized thoracic-abdominal movements were even observed among several patients. Therefore, the quantification and analyzing method of breathing pattern parameters based on the portable cardiopulmonary parameters monitoring system might assist the diagnosis and assessment of respiratory system diseases and hopefully provide new parameters and indexes for monitoring the physical status of patients with cardiopulmonary disease.
Humans ; Lung ; Pulmonary Disease, Chronic Obstructive ; Respiration ; Tidal Volume ; Wearable Electronic Devices

OBJECTIVE：To investigate the inhibitory effects of total alkaloids of Gelsemium elegans （TAG） on the proliferation and angiogenesis of human colon cancer cells. METHODS ：Human colon cancer cell line HT- 29 and HUVEC were cultured in vitro . After the intervention of low- ，medium-，high-dose TAG （40，80，120 μg/mL），the morphology of the two cells was observed by fluorescence inversion microscope. The survival rate of HT- 29 cells and HUVEC was detected by CCK- 8 assay. Flow cytometry was used to detect HT- 29 cell cycle. The migration rate ，invasion rate and tube number of HUVEC were observed by scratching test ，Transwell invasion experiment and tube formation experiment. RESULTS ：Compared with blank group ，HT-29 cells and HUVEC were decreased to different extents in TAG groups ；dead cells were observed ，and the survival rate of both decreased significantly （P＜0.05 or P＜0.01）. The proportion of HT- 29 cells at G 2/M phase in TAG groups as well as those at G 0/G1 phase in medium-dose group were increased significantly ；the proportion of HT- 29 cells at S phase in TAG groups as well as those at G 0/G1 phase in high-dose group were decreased significantly （P＜0.05 or P＜0.01）. Survival rate ，migration rate and invasion rate of HUVEC were decreased significantly in TAG groups ，and tube number was also decreased significantly at each time point during 4-24 h（P＜0.01）. CONCLUSIONS ：TAG have inhibitory effect on the proliferation of human colon cancer HT- 29 cells and HUVEC，can change HT- 29 cell cycle ，inhibit the migration ，invasion and tube formation of HUVEC.

Surgical resection is the best method for patients with colorectal cancer liver metastases. However, tumor recurrence rate is still high after surgery. Preoperative chemotherapy can help shrink the tumor, test biological behavior, and reduce recurrence rate; but it may also cause liver injury and delay surgery. There is still controversy whether neoadjuvant chemotherapy should be performed and how to select patients from chemotherapy before surgery. Thus, in this article, combined the research progress and the clinical experience of author's center, we discuss this issue in 4 aspects: the development of neoadjuvant chemotherapy; the indications and guideline recommendation for neoadjuvant chemotherapy; the selection of neoadjuvant chemotherapy regimens; common problems in neoadjuvant chemotherapy.

To achieve continuously physiological monitoring on hospital inpatients, a ubiquitous and wearable physiological monitoring system SensEcho was developed. The whole system consists of three parts: a wearable physiological monitoring unit, a wireless network and communication unit and a central monitoring system. The wearable physiological monitoring unit is an elastic shirt with respiratory inductive plethysmography sensor and textile electrocardiogram (ECG) electrodes embedded in, to collect physiological signals of ECG, respiration and posture/activity continuously and ubiquitously. The wireless network and communication unit is based on WiFi networking technology to transmit data from each physiological monitoring unit to the central monitoring system. A protocol of multiple data re-transmission and data integrity verification was implemented to reduce packet dropouts during the wireless communication. The central monitoring system displays data collected by the wearable system from each inpatient and monitors the status of each patient. An architecture of data server and algorithm server was established, supporting further data mining and analysis for big medical data. The performance of the whole system was validated. Three kinds of tests were conducted: validation of physiological monitoring algorithms, reliability of the monitoring system on volunteers, and reliability of data transmission. The results show that the whole system can achieve good performance in both physiological monitoring and wireless data transmission. The application of this system in clinical settings has the potential to establish a new model for individualized hospital inpatients monitoring, and provide more precision medicine to the patients with information derived from the continuously collected physiological parameters.

The analysis of big data in medical field cannot be isolated from the high quality clinical database, and the construction of first aid database in our country is still in the early stage of exploration. This paper introduces the idea and key technology of the construction of multi-parameter first aid database. By combining emergency business flow with information flow, an emergency data integration model was designed with reference to the architecture of the Medical Information Mart for Intensive Care III (MIMIC-III), created by Computational Physiology Laboratory of Massachusetts Institute of Technology (MIT), and a high-quality first-aid database was built. The database currently covers 22 941 medical records for 19 814 different patients from May 2015 to October 2017, including relatively complete information on physiology, biochemistry, treatment, examination, nursing, etc. And based on the database, the first First-Aid Big Data Datathon event, which 13 teams from all over the country participated in, was launched. The First-Aid database provides a reference for the construction and application of clinical database in China. And it could provide powerful data support for scientific research, clinical decision making and the improvement of medical quality, which will further promote secondary analysis of clinical data in our country.
Big Data ; Critical Care ; Databases, Factual ; Humans ; Medical Informatics

Objective To study the distribution of diseases in Medical Information Mart for Intensive Care Ⅲ(MIMIC-Ⅲ) database in order to provide reference for clinicians and engineers who use MIMIC-Ⅲ database to solve clinical research problems. Methods The exploratory data analysis technologies were used to explore the distribution characteristics of diseases and emergencies of patients (excluding newborns) in MIMIC-Ⅲ database were explored; then, neonatal gestational age, weight, length of hospital stay in intensive care unit (ICU) were analyzed with the same method. Results In the MIMIC-Ⅲ database, 46 428 patients were admitted for the first time, and 49 214 ICU records were recorded. There were 26 076 males and 20 352 females; the median age was 60.5 (38.6, 75.6) years, and most patients were between 60 and 80 years old. The first diagnosis in the disease spectrum analysis was firstly ranked by circulatory diseases (32%), followed by injury and poisoning (14%), digestive system disease (8%), tumor (7%), respiratory disease (6%) and so on. Patients with ischemic heart disease accounted for the largest proportion of circulatory disease (42%), the proportion of these patients gradually increased with age of 60-70 years old, then decreased. However, the proportion of patients with cerebrovascular disease declined first and then increased with age, which was the main cause of death of circulatory system disease (ICU mortality was 22.5%). Injury and poisoning patients showed a significant decrease with age. Digestive system diseases were younger than the general population (most people aged between 50 to 60 years), and non-infectious enteritis and colitis were the main causes of death (ICU mortality was 18.3%). Respiratory infections were predominant in infected patients (34%), but circulatory system infections were the main cause of death (ICU mortality was 25.6%). Secondly, in the neonatal care unit, premature infants accounted for the vast majority (82%). As the gestational age increased, the duration of ICU was decreased, and the mortality was decreased. Conclusions The diseases distribution of patients can be provided by MIMIC-Ⅲ database, which helps to grasp the overview of the volume and age distribution of the target patients in advance, and carry out the next step of research. Meanwhile, it points out the important role of exploratory data analysis in electronic health records analysis.