Four furan α-butenolactones were isolated from 50% acetone extract of tuber of Alisma orientale by silica gel column, chromatography gel column and high performance liquid chromatography techniques. Their structures were identified by modern wave spectroscopy techniques and electronic circular dichroism (ECD) and assigned as (5R)-5-hydroxy-3,4-dimethylfuran-2(5H)-one (1), 5-hydroxy-3,5-dimethylfuran-2(5H)-one (2), 5-hydroxy-4-(1-methylethyl)-2(5H)-furanone (3) and alismanoid A (4). Compound 1 was new compound and compounds 2–4 were first isolated from Alisma orientale. Compound 1-4 had potential antifibrotic activities.

Objective:To examine the burden and trends of acute viral hepatitis in Guangdong Province from 1990 to 2019, and provide reference evidences for hepatitis prevention and control in the province.Methods:Data on acute viral hepatitis (hepatitis A, B, C, and E) in Guangdong from 1990 to 2019 were extracted from the Global Burden of Disease Study 2019 database. The incidence, prevalence, mortality, and disability-adjusted life years (DALY) data were analyzed by age and gender, and the estimated annual percentage change (EAPC) was calculated to describe the changing trends in disease burden.Results:From 1999 to 2019, the standardized incidence, prevalence, mortality, and DALY of acute viral hepatitis in Guangdong were higher than the national averages. In 2019, 51.43% (2 245 087/4 365 221) of acute viral hepatitis cases in Guangdong Province were mainly attributed to hepatitis B, and 77.18% (106/138) of deaths were due to acute hepatitis B. In different age groups, except for acute hepatitis B, which was more common in adults, the incidence rates of other types of viral hepatitis such as hepatitis A, B, and E showed an overall decreasing trend with age. The mortality rates of different types of acute viral hepatitis, except for the <5 age group, increased with age. The overall incidence and mortality rates of acute viral hepatitis were higher in men than in women.Conclusions:The overall burden of acute viral hepatitis in Guangdong declined in 2019, but remained higher than the national level. Further efforts are needed to strengthen hepatitis prevention and screening in different population in Guangdong Province, especially in children and the elderly.

Objective To carry out rigid-body inverse dynamics modelling and analysis of a self-designed 6RSS parallel bio-inspired masticatory robot.Methods Firstly,the functions of kinematic variables including translational/rotational velocities and accelerations were derived for rigid-body inverse dynamics modelling.Secondly,the rigid-body inverse dynamics model was established with the Newton-Euler's law.Finally,the chewing motion trajectories of the oral health volunteers were tracked and numerical calculations were carried out in the case where the robot was subjected to a chewing reaction force.Results Numerical calculations showed that the driving torque and the constraint force of the robot peaked when the chewing reaction force was at its maximum.Conclusion The external force has a large impact on the inverse dynamics of the robot,and theoretical references are provided for the motion control and optimal design of the robot.[Chinese Medical Equipment Journal,2024,45(3):16-22]

In 2015, the United States put forward the concept of precision medicine, which changed medical treatment from "one size fits all" to personalization, and paid more attention to personalization and drug customization. In the same year, Spritam^®, the world's first 3D printed tablet, was in the market, marking the emerging pharmaceutical 3D printing technology was recognized by regulatory authorities, and it also provided a new way for drug customization. 3D printing technology has strong interdisciplinary and high flexibility, which puts forward higher requirements for pharmaceutical staffs. With the development of artificial intelligence (AI), modern society can perform various tasks, such as disease diagnosis and robotic surgery, with superhuman speed and intelligence. As a major AI technology, machine learning (ML) has been widely used in many aspects of 3D printing drug, accelerating the research and development, production, and clinical application, and promoting the new process of global personalized medicine and industry 4.0. This paper introduces the basic concepts and main classifications of 3D printing drug, non-AI drug optimization technology and ML. It focuses on the analysis of the research progress of ML in 3D printing drug, and elucidates how AI can empower the intelligent level of 3D printing drug in pre-processing, printing, and post-processing process. It provides a new idea for accelerating the development of 3D printed drug.

Leiomyosarcoma of urinary bladder (LMS-UB) is a highly malignant mesenchymal tumor, accounting for less than 0.5% of all bladder malignancies, with a predominant clinical presentation of hematuria. Here we report a case of low-grade LMS-UB. A 44-year-old male patient was admitted to the hospital with urodynia for 2 weeks. The patient's pelvis CT showed a mass on the right part of the bladder. For this reason, he was initially diagnosed with bladder cancer. We performed a robot-assisted laparoscopic enucleation of the bladder tumor and low-grade LMS-UB was diagnosed with the histopathological examination. He underwent 5 cycles of adjuvant chemotherapy after surgery. At 19months postoperative follow-up, the patient had no symptoms, recurrence, or distant metastasis. There is no report on the treatment of LMS-UB with minimally invasive enucleation worldwide. This case provides a new comprehensive treatment method of enucleation combined with adjuvant chemotherapy for early low-grade LMS-UB to reduce complications and improve patients' quality of life after surgery.
Male ; Humans ; Adult ; Urinary Bladder/surgery* ; Leiomyosarcoma/secondary* ; Robotics ; Quality of Life ; Pelvis/pathology* ; Urinary Bladder Neoplasms/pathology* ; Laparoscopy/methods*

With the growing demand of personalized medicine for children, it is especially important to develop medicines for children. In this study, using metoprolol tartrate as model drug, we developed 3D printed chewable tablets suitable for children with automated dosage distribution using semi-solid extruded (SSE) 3D printing technology. Based on the quality by design concept, this study prepared a semi-solid material with good printability using gelatin as the substrate, constructed 3D models and printed tablets with the aid of computer-aided design. The printing parameters were optimized and determined as follows: print temperature of 35-37 ℃, print speed of 25 mm·s^-1, fill rate of 15%, and number of outer profile layers of 2. Subsequently, the printing process and the quality uniformity of the tablets were verified, and a linear relationship between the dose and the number of model layers was obtained. Finally, 3D printed chewable tablets were superior in terms of appearance, dose accuracy and compliance compared with traditional split-dose commercially available tablets. In this study, 3D printed metoprolol tartrate chewable tablets with good performance were successfully prepared to address the personalized medication needs of pediatric patients.

Objective: To analyze the characteristics of scientific papers in the field of global liver diseases published by Chinese scholars that were retracted for diverse reasons from the Retraction Watch database, so as to provide a reference to publishing-related papers. Methods: The Retraction Watch database was retrieved for retracted papers in the field of global liver disease published by Chinese scholars from March 1, 2008 to January 28, 2021. The regional distribution, source journals, reasons for retraction, publication and retraction times, and others were analyzed. Results: A total of 101 retracted papers that were distributed across 21 provinces/cities were retrieved. Zhejiang area (n = 17) had the most retracted papers, followed by Shanghai (n = 14), and Beijing (n = 11). The vast majority were research papers (n = 95). The journal PLoS One had the highest number of retracted papers. In terms of time distribution, 2019 (n = 36) had the most retracted papers. 23 papers, accounting for 8.3% of all retractions, were retracted owing to journal or publisher concerns. Liver cancer (34%), liver transplantation (16%), hepatitis (14%), and others were the main areas of retracted papers. Conclusion: Chinese scholars have a large number of retracted articles in the field of global liver diseases. A journal or publisher chooses to retract a manuscript after investigating and discovering more flawed problems, which, however, require further support, revision, and supervision from the editorial and academic circles.
Humans ; Biomedical Research ; China ; Liver Diseases ; Scientific Misconduct

Objective:To predict and analyze the number of acute pancreatitis (AP) inpatients based on time series model, and to explore the predictive efficiency of the model.Methods:Clinical data of AP inpatients in the Affiliated Hospital of Southwest Medical University from January 2014 to December 2019 were collected. R software was used to collect the time series of AP inpatients, and the trend and seasonal characteristics of AP inpatients from 2014 to 2018 were analyzed. Furthermore, the autoregressive moving average (ARIMA) model was established through stationarity test, model ordering and model testing steps, and the best selected model was used to predict the monthly number of inpatients in 2019 to verify its prediction efficiency.Results:A total of 3 939 AP patients were included in the study. The most common etiology for AP was cholestrogenic (48.2%), followed by hyperacylglyceremia (36.3%). The peak age of hospitalization was from 40 to 60 years old. Time series analysis showed that the number of AP inpatients increased year by year. The highest peak of the disease was from February to March, followed by September to November; and there was seasonal variation and the incidence was relatively small in summer. The established original training set sequence did not pass the stationarity test ( P=0.061), so the ARIMA model was established after it was transformed into a stationarity sequence by first-order difference. According to the criterion of minimum AIC value, ARIMA(2, 1, 1)(1, 1, 1) 12 was selected as the best model. The model was used to predict the number of AP inpatients in 2019, showing that it could better fit the trend of onset time and had good short-term prediction effect. The mean root error and absolute error were 6.8790 and 4.7783, respectively. Conclusions:The number of AP inpatients increases year by year with seasonal changes. ARIMA model is effective in predicting the number of AP inpatients and can be used for short-term prediction.

Background Air pollution is a major public health concern. Air Quality Health Index (AQHI) is a very important air quality risk communication tool. However, AQHI is usually constructed by single-pollutant model, which has obvious disadvantages. Objective To construct an AQHI based on the joint effects of multiple air pollutants (J-AQHI), and to provide a scientific tool for health risk warning and risk communication of air pollution. Methods Data on non-accidental deaths in Yunnan, Guangdong, Hunan, Zhejiang, and Jilin provinces from January 1, 2013 to December 31, 2018 were obtained from the corresponding provincial disease surveillance points systems (DSPS), including date of death, age, gender, and cause of death. Daily meteorological (temperature and relative humidity) and air pollution data (SO₂, NO₂, CO, PM_2.5, PM₁₀, and maximum 8 h O₃ concentrations) at the same period were respectively derived from China Meteorological Data Sharing Service System and National Urban Air Quality Real-time Publishing Platform. Lasso regression was first applied to select air pollutants, then a time-stratified case-crossover design was applied. Each case was matched to 3 or 4 control days which were selected on the same days of the week in the same calendar month. Then a distributed lag nonlinear model (DLNM) was used to estimate the exposure-response relationship between selected air pollutants and mortality, which was used to construct the AQHI. Finally, AQHI was classified into four levels according to the air pollutant guidance limit values from World Health Organization Global Air Quality Guidelines (AQG 2021), and the excess risks (ERs) were calculated to compare the AQHI based on single-pollutant model and the J-AQHI based on multi-pollutant model. Results PM_2.5, NO₂, SO₂, and O₃ were selected by Lasso regression to establish DLNM model. The ERs for an interquartile range (IQR) increase and 95% confidence intervals (CI) for PM_2.5, NO₂, SO₂ and O₃ were 0.71% (0.34%–1.09%), 2.46% (1.78%–3.15%), 1.25% (0.9%–1.6%), and 0.27% (−0.11%–0.65%) respectively. The distribution of J-AQHI was right-skewed, and it was divided into four levels, with ranges of 0-1 for low risk, 2-3 for moderate risk, 4-5 for high health risk, and ≥6 for severe risk, and the corresponding proportions were 11.25%, 64.61%, 19.33%, and 4.81%, respectively. The ER (95%CI) of mortality risk increased by 3.61% (2.93–4.29) for each IQR increase of the multi-pollutant based J-AQHI , while it was 3.39% (2.68–4.11) for the single-pollutant based AQHI . Conclusion The J-AQHI generated by multi-pollutant model demonstrates the actual exposure health risk of air pollution in the population and provides new ideas for further improvement of AQHI calculation methods.

Objective: To analyze the risk factors of coronary artery occlusion in female patients with ischemic angina pectoris. Methods: Clinical data of 1 600 patients (666 females and 934 males) who underwent coronary angiography from January 2013 to December 2015 due to angina pectoris in 6 major coronary intervention centers in China were retrospectively analyzed. The clinical characteristics were compared between the female and male groups, and between the non-obstructive coronary artery disease (INOCA) and ischemic obstructive coronary artery disease (IOCA) subgroups of female subjects with angina pectoris. The risk factors related to the degree of coronary artery occlusion in female patients were analyzed. Results: In the enrolled patients who underwent coronary angiography for angina pectoris, female group was older than the male group, and the proportion of patients with hypertension, diabetes and ischemia accompanied by IOCA was significantly higher than that of the male group (P<0.05). Univariate analysis showed that age≥65 years, hypertension, diabetes, and typical angina symptoms were associated with an increased risk of IOCA in female patients with angina pectoris. Multivariate regression analysis showed that age≥65 years old (OR=1.784, 95%CI: 1.146-2.776, P=0.010), hypertension (OR=1.782, 95%CI: 1.201-2.644, P=0.004) and typical angina symptoms (OR=1.642, 95%CI: 1.127-2.393, P=0.010) were independent risk factors for female patients with angina pectoris diagnosed as IOCA. The correlation analysis between the number of risk factors and the type of coronary artery disease obstruction showed that the incidence of INOCA decreased significantly with the increase of the number of risk factors, from 45.5% to 14.2%. The incidence of IOCA increased significantly with the number of risk factors, from 54.5% to 85.8% (P for trend<0.001). Conclusion: The incidence of INOCA in female patients with angina pectoris suspected of coronary heart disease is higher than that of male. The incidence of IOCA increased significantly, and the incidence of INOCA decreased significantly in proportion to the increase of the number of combined risk factors.
Humans ; Male ; Female ; Aged ; Coronary Artery Disease/complications* ; Retrospective Studies ; Angina Pectoris/epidemiology* ; Risk Factors ; Coronary Angiography ; Hypertension/complications* ; Coronary Occlusion/complications* ; Ischemia/complications*