Osteoarthritis （OA） is a common chronic， highly prevalent， painful， and disabling degenerative joint disease. It has imposed a heavy burden on social healthcare and patients' psychology and economy due to its clinical symptoms such as impaired joint mobility and severe joint pain and the immature therapies. Studies have shown that OA is closely associated with articular cartilage dysfunction， synthesis and degradation disorders of chondrocyte extracellular matrix （ECM）， and joint inflammation. Moderate autophagy can restore the function of damaged chondrocytes， regulate chondrocyte apoptosis， and promote the synthesis and metabolism of ECM to alleviate the inflammation of joints and delay the onset and progression of OA. According to the clinical symptoms， OA can be classified into the category of impediment in traditional Chinese medicine. With the theories of holistic conception， treatment based on syndrome differentiation， and individualised diagnosis and treatment， traditional Chinese medicine has demonstrated definite effects in the treatment of OA in thousands of years of practice. Moreover， traditional Chinese medicine causes mild adverse reactions， and the patients have high tolerance and acceptance. This paper briefly explains the roles of autophagy and the related regulatory proteins， such as Unc-51-like autophagy-activated kinase 1 （ULK1）， Beclin-1， and microtubule-associated protein light chain 3 （LC3）， and details the latest research achievements in the prevention and control of OA by traditional Chinese medicines and its related markers via the regulation of autophagy， so as to provide a idea for the in-depth research in this field and the clinical application of traditional Chinese medicine in preventing and treating OA.

Osteoarthritis （OA）， rheumatoid arthritis （RA）， gouty arthritis （GA）， and intervertebral disc degeneration （IVDD） are the most common bone and joint-related diseases in clinical practice. They can all affect related joints， leading to joint pain， swelling， dysfunction， and other symptoms. The difference is that OA is mainly caused by joint wear and age-related degradation and is manifested as joint pain， stiffness， and limited movement. RA is an autoimmune disease， manifested as joint pain， swelling， morning stiffness， and systemic symptoms. GA is caused by abnormal uric acid metabolism， manifested as acute arthritis， and IVDD is caused by intervertebral disc degeneration. Studies have shown that the mechanism of the occurrence and development of these bone and joint diseases is extremely complex. Pyroptosis is closely related to these bone and joint-related diseases by participating in bone and joint inflammation， cartilage metabolism imbalance， extracellular matrix degradation， and pathological damage of bone and joint. Inhibition of bone and joint-related pyroptosis will effectively prevent and treat bone and joint-related diseases. At the same time， many studies have confirmed that traditional Chinese medicine （TCM） has a prominent curative effect and obvious advantages in the prevention and treatment of bone and joint-related diseases. TCM can reduce the inflammatory reaction of bone and joints， improve the pathological damage of bone and joint diseases， and relieve bone and joint pain by inhibiting pyroptosis. Therefore， this article aims to briefly explain the relationship between pyroptosis and the occurrence and development of bone and joint-related diseases and summarize the latest research reports on the intervention of pyroptosis in the treatment of bone and joint-related diseases by TCM monomers， TCM extracts， and TCM compounds. It offers new ideas for the in-depth study of the pathogenesis and drug treatment of bone and joint diseases and provides a basis for the clinical use of TCM to prevent and treat bone and joint diseases.

Objective To establish an early prediction model for the diagnosis of severe acute pancreatitis based on the improved machine learning models,and to analyze its clinical value.Methods A case-control study was conducted on 352 patients with acute pancreatitis admitted to the Gastroenterology and Hepatobiliary Surgery Departments of the Army Medical Center of PLA and Emergency and Critical Care Medicine Department of No.945 Hospital of Joint Logistics Support Force of PLA from January 2014 to August 2023.According to the severity of the disease,the patients were divided into the severe group(n=88)and the non-severe group(n=264).The RUSBoost model and improved Archimead optimization algorithm was used to analyze 39 routine laboratory biochemical indicators within 48 h after admission to construct an early diagnosis and prediction model for severe acute pancreatitis.The task of feature screening and hyperparameter optimization was completed simultaneously.The ReliefF algorithm feature importance rank and multivariate logistic analysis were used to analyze the value of the selected features.Results In the training set,the area under curve(AUC)of the improved machine learning model was 0.922.In the testing set,the AUC of the improved machine learning model reached 0.888.The 4 key features of predicting severe acute pancreatitis based on the improved Archimedes optimization algorithm were C-reactive protein,blood chlorine,blood magnesium and fibrinogen level,which were consistent with the results of ReliefF algorithm feature importance ranking and multivariate logistic analysis.Conclusion The application of improved machine learning model analyzing the laboratory examination results can help to early predict the occurrence of severe acute pancreatitis.

Objectives:To investigate the mutation of PIK3CA in colorectal cancer and to analyze their clinicopathological features, and evaluate their role in clinical treatment and prognostication.Methods:A total of 128 paraffin-embbeded tissue samples of colorectal cancer from Shanxi Cancer Hospital from 2018 to 2021 were collected. DNA was extracted from the samples, and next-generation sequencing (NGS) was used to detect PIK3CA mutation. The relationship between PIK3CA mutation, their clinicopathological features, and prognosis were analyzed.Results:Among the 128 colorectal cancer samples, there were 75 males and 53 females; with aged range 32-86 years, median 61.5 years, 27 (21.09%) had PIK3CA mutations. Colorectal cancer with PIK3CA mutation was more likely to occur in male patients ( P=0.007), which was related to tumor site ( P=0.032), tumor size ( P=0.029) and TP53 wild-type ( P=0.001). The common site mutations of PIK3CA mostly occurred in tumors with tumor mutation burden≥10 Muts/Mb ( P=0.031).PIK3CA mutation had no significant effect on the survival prognosis of patients, but the efficacy of anti-angiogenic therapy was poor in these patients. Conclusions:PIK3CA mutation is a common mutation in colorectal cancer and plays an important role in the occurrence and development of colorectal cancer. PIK3CA mutation may lead to resistance to anti-angiogenic drugs in colorectal cancer, but its impact on survival and prognosis to patients needs further study.

Objective:To explore the application of flash glucose monitoring (FGM) system in patients with type 2 diabetes and its impact on patients, and to provide reference for improving blood glucose management in patients with type 2 diabetes.Methods:Qualitative research method was adopted. Purposive sampling was used to select patients with type 2 diabetes who received FGM in Nanjing Hospital Affiliated to Nanjing Medical University, Nanjing First Hospital from December 2023 to February 2024 as interview subjects. Semi-structured interview method was conducted for one-to-one in-depth interview, and thematic analysis was used to sort out and analyze data, identify and refine themes.Results:A total of 15 interviewees were included, including 7 males and 8 females, aged (61.27 ± 14.07) years. The interview results were summarized into five themes: behavioral changes of wearing FGM system (including changes of patients′blood glucose monitoring, diet, exercise and medication behaviors); FGM system improves the convenience and comfort of blood glucose monitoring; FGM system can effectively improve patients′sense of security; the advice of medical staff affects the willingness of patients to wear FGM system; price factors affect patients′willingness to wear FGM systems on a regular basis.Conclusions:The FGM system plays an important role in the management of patients with type 2 diabetes, improving patients′self-management behavior and blood glucose monitoring experience, and improving patients′sense of security. Medical personnel play an important role in the decision-making of patient disease management. However, price is an important factor restricting patients to wear regularly, and efforts should be made to improve the popularity of FGM system.

Objective To investigate the prevalence of hepatitis D virus (HDV) infection among patients with chronic hepatitis B virus (HBV) infection in some regions of China. Methods Serum samples were collected from 3 131 patients with chronic HBV infection in 10 provinces, cities, and autonomous regions of China from March 2021 to June 2022, and anti-HDV IgG ELISA was used for the detection of all serum samples. Nested reverse transcription-polymerase chain reaction (nRT-PCR) was used to detect HDV RNA in anti-HDV IgG-positive samples, and the nRT-PCR amplification products of HDV RNA-positive samples were sequenced and analyzed to determine HDV genotype. The clinical features of anti-HDV IgG-positive patients were analyzed. The Mann-Whitney U rank sum test was used for comparison of continuous data between two groups, and the chi-square test or the Fisher's exact test was used for comparison of categorical data between two groups. Results The positive rate of anti-HDV IgG in the 3 131 patients with chronic HBV infection was 0.70% (22/3 131), and that in the patients with chronic HBV infection in Inner Mongolia Autonomous Region, Xinjiang Uygur Autonomous Region, Beijing, and Hunan Province was 1.81% (16/886), 0.88% (2/226), 0.28% (2/708), and 1.00% (2/200), respectively; the patients with chronic HBV infection in Inner Mongolia Autonomous Region had a significantly higher positive rate of anti-HDV IgG than those in Beijing ( P =0.004), and there was no significant difference between the other regions ( P > 0.05). Clinical features of the patients with chronic HBV infection in Inner Mongolia Autonomous Region showed that compared with the anti-HDV IgG-negative group, the anti-HDV IgG-positive group had a significantly higher proportion of patients with Mongol nationality ( P =0.001), abnormal alanine aminotransferase ( P =0.007), or antiviral treatment ( P =0.029), as well as a significantly lower median HBV DNA level ( P =0.030). A total of 19 HDV RNA-positive samples were identified, all of which had HDV genotype 1. Conclusion The prevalence rate of HDV varies greatly across different regions of China, with a higher prevalence rate of HDV in patients with chronic HBV infection from Inner Mongolia Autonomous Region. HDV genotype 1 is the predominant genotype in some provinces and cities of northern China.

Genome-scale metabolomics analysis is increasingly used for pathway and function dis-covery in the post-genomics era.The great potential offered by developed mass spectrometry(MS)-based technologies has been hindered,since only a small portion of detected metabolites were iden-tifiable so far.To address the critical issue of low identification coverage in metabolomics,we adopted a deep metabolomics analysis strategy by integrating advanced algorithms and expanded reference databases.The experimental reference spectra and in silico reference spectra were adopted to facilitate the structural annotation.To further characterize the structure of metabolites,two approaches were incorporated into our strategy,i.e.,structural motif search combined with neutral loss scanning and metabolite association network.Untargeted metabolomics analysis was performed on 150 rice cultivars using ultra-performance liquid chromatography coupled with quadrupole-Orbitrap MS.Consequently,a total of 1939 out of 4491 metabolite features in the MS/MS spectral tag(MS2T)library were annotated,representing an extension of annotation coverage by an order of magnitude in rice.The differential accumulation patterns of flavonoids between indica and japon-ica cultivars were revealed,especially O-sulfated flavonoids.A series of closely-related flavonolignans were characterized,adding further evidence for the crucial role of tricin-oligolignols in lignification.Our study provides an important protocol for exploring phytochemical diversity in other plant species.

Objective:To explore the application value of artificial intelligence-assisted diagnosis model based on convolutional neural network (CNN) in the differential diagnosis of benign and malignant breast masses.Methods:A total of 10 490 images of 2 098 patients with breast lumps (including 1 132 cases of benign tumor, 779 cases of malignant tumor, 32 cases of inflammation, 155 cases of adenosis) were collected from January 2016 to January 2018 in Beijing Tiantan Hospital Affiliated to the Capital University of Medical Sciences. They were divided into training set and test set and the auxiliary artificial intelligence diagnosis model was used for training and testing. Two sets of data training models were compared by two-dimensional imaging (2D) and two-dimensional and color Doppler flow imaging (2D-CDFI). The ROC curves of benign breast tumors, malignant tumors, inflammation and adenopathy were analyzed, and the area under the ROC curve (AUC) were calculated.Results:The accuracies of 2D-CDFI ultrasonic model for training group and testing group were significantly improved. ①For benign tumors, the result from training set with 2D image was: sensitivity 92%, specificity 95%, AUC 0.93; the result from training set with 2D-CDFI images was: sensitivity 93%, specificity 95%, AUC 0.93; the result for test set with 2D images was: sensitivity 91%, specificity 96%, AUC 0.94; the result for test set with 2D-CDFI images was: sensitivity 93%, specificity: 94%, AUC 0.94. ② For malignancies, the result for training set with 2D images was: sensitivity 93%, specificity 97%, AUC 0.94; the result for training set with 2D-CDFI images was: sensitivity 93%, specificity 96%, AUC 0.94; the result for test set with 2D images was: sensitivity 93%, specificity 96%, AUC 0.94; the result for test set with 2D-CDFI images was: sensitivity 93%, specificity 96%, AUC 0.94. ③For inflammation, the result for training set with 2D images was: sensitivity 81%, specificity 99%, AUC 0.91; the result for training set with 2D-CDFI images was: sensitivity 86%, specificity 99%, AUC 0.89; the result for test set with 2D images was: sensitivity 100%, specificity 98%, AUC 0.98; the result for test set with 2D-CDFI images was: sensitivity 100%, specificity 99%, AUC 0.96. ④For adenopathy, the result for training set with 2D images was: sensitivity 88%, specificity 97%, AUC 0.94; the result for training set with 2D-CDFI images was: sensitivity 93%, specificity 98%, AUC 0.94; the result for test set with 2D images was: sensitivity 94%, specificity 98%, AUC 0.93; the result for test set with 2D-CDFI images was: sensitivity 88%, specificity 99%, AUC 0.90. Its diastolic accuracy was not affected even if the maximum diameter of the tumor was less than 1 cm.Conclusions:Through the deep learning of artificial intelligence based on CNN for breast masses, it can be more finely classified and the diagnosis rate can be improved. It has potential guiding value for the treatment of breast cancer patients.

Objective To investigate the capability oftomography ultrasound (TUI) in evaluating the development of the normal anorectal structure to provide a reference for prenatal diagnosis of imperforate anus.Methods From June 2017 to July 2018,315 singleton pregnant women at 19-40 weeks of gestational age were selected from Beijing Tiantan Hospital,and they ranged in age from 23 to 40 years,with an average age of 29±3 years.The TUI technique was applied to measure the fetal anal sphincter diameter (ASD),anal canal diameter (ACD),and anal canal length (ACL).The correlation between ASD,ACD,or ACL and gestational age was analyzed by Pearson correlation analysis,and the regression equation and curve were established.The intraclass correlation coefficient (ICC) and 95％ confidence interval (CI) were used to evaluate the repeatability of the measurement ofASD,ACD,and ACL.Results The display rate of fetal anorectum in all fetuses by the TUI technique was 97.8％ (308/315).Pearson correlation analysis showed that the normal fetal ASD,ACD,and ACL were positively correlated with the gestational age of the fetus,and the regression equations are:ASD,Y=-0.001X2 + 0.421X-1.726 (r=0.83,P ＜ 0.01);ACD,Y=0.418X-4.207 (r=0.89,P ＜ 0.01);and ACL,Y=0.526X-1.062 (r=0.87,P ＜ 0.01).Conclusion TUI for assessment of fetal anorectum is feasible.This method can be applied to improve the display rate of fetal anorectum.

Objective To study the effects of different color light stimulus, duration of stimulus and day/night training on the incentive conditioned reflex of rats,and to provide a data basis for the methodology of incentive conditional reflection experiments. Methods Three experiments were included in this study. During the experiment 1, a total of 30 male 8-week-old Wistar rats were divided into three groups:red light stimulation group,yellow light stimulation group and blue light stimulation group. During the experiment 2, a total of 32 male 8-week-old Wistar rats were divided into three groups:the group I(with a light stimulation duration of 10 s), the group II(with a light stimulation duration of 30 s), and the group III(with a light stimulation duration of 60 s). During the experiment 3,a total of 16 male 8-week-old Wistar rats were randomly divided into two groups,of which the first group was trained at 9:00 a.m. every day, and the second group was trained at 21:00 every day. All the laboratory animals were given reward conditioned reflex training, and indicators such as the number of correct nose pokes,the number of incorrect nose pokes,the ratio of correct nose pokes and so on were counted and calculated. Results During the experiment 1,there was no significant difference in the numbers of correct nose pokes and incorrect nose pokes,movement distances and average speeds of the rats among the three groups. During the experiment 2,compared with the group with a light duration of 10 s,the rats in the groups with a light duration of 30 s or 60 s had a higher number of correct nose pokes(P< 0.05). Moreover,on the 13th and 14th days,the ratio of correct nose pokes of the group with a light duration of 30 s was significantly higher than that of the group with a light duration of 10 s(P< 0.001). During the experiment 3,there were no significant differences in the number of correct nose pokes and the nose poke accuracy of the rats between the two groups. Conclusions In the reward conditioned reflex test, red,yellow and blue light stimuli have similar reward prediction effect. When stimulated with the same light, the time of stimulation has an impact on the learning ability of the rats,and an appropriate extension of stimulation is beneficial to the formation of conditioned reflex in them. The day/night training has no effect on the learning and memory ability of the rats.