Diabetes is a very complex endocrine disease whose common feature is the increase in blood glucose concentration. Persistent hyperglycemia can lead to blindness, kidney and heart disease, neurodegeneration, and many other serious complications that have a significant impact on human health and quality of life. The number of people with diabetes is increasing yearly. The global diabetes prevalence in 20-79 year olds in 2021 was estimated to be 10.5% (536.6 million), and it will rise to 12.2% (783.2 million) in 2045. The main modes of intervention for diabetes include medication, dietary management, and exercise conditioning. Medication is the mainstay of treatment. Marketed diabetes drugs such as metformin and insulin, as well as GLP-1 receptor agonists, are effective in controlling blood sugar levels to some extent, but the preventive and therapeutic effects are still unsatisfactory. Peptide drugs have many advantages such as low toxicity, high target specificity, and good biocompatibility, which opens up new avenues for the treatment of diabetes and other diseases. Currently, insulin and its analogs are by far the main life-saving drugs in clinical diabetes treatment, enabling effective control of blood glucose levels, but the risk of hypoglycemia is relatively high and treatment is limited by the route of delivery. New and oral anti-diabetic drugs have always been a market demand and research hotspot. Inhibitor cystine knot (ICK) peptides are a class of multifunctional cyclic peptides. In structure, they contain three conserved disulfide bonds (C3-C20, C7-C22, and C15-C32) form a compact “knot” structure, which can resist degradation of digestive protease. Recent studies have shown that ICK peptides derived from legume, such as PA1b, Aglycin, Vglycin, Iglycin, Dglycin, and aM₁, exhibit excellent regulatory activities on glucose and lipid metabolism at the cellular and animal levels. Mechanistically, ICK peptides promote glucose utilization by muscle and liver through activation of IR/AKT signaling pathway, which also improves insulin resistance. They can repair the damaged pancrease through activation of PI3K/AKT/Erk signaling pathway, thus lowering blood glucose. The biostability and hypoglycemic efficacy of the ICK peptides meet the requirements for commercialization of oral drugs, and in theory, they can be developed into natural oral anti-diabetes peptide drugs. In this review, the structural properties, activity and mechanism of ICK pattern peptides in regulating glucose and lipid metabolism were summaried, which provided a reference for the development of new oral peptides for diabetes.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Objective     To construct a radiomics model for identifying clinical high-risk carotid plaques. Methods     A retrospective analysis was conducted on patients with carotid artery stenosis in China-Japan Friendship Hospital from December 2016 to June 2022. The patients were classified as a clinical high-risk carotid plaque group and a clinical low-risk carotid plaque group according to the occurrence of stroke, transient ischemic attack and other cerebrovascular clinical symptoms within six months. Six machine learning models including eXtreme Gradient Boosting, support vector machine, Gaussian Naive Bayesian, logical regression, K-nearest neighbors and artificial neural network were established. We also constructed a joint predictive model combined with logistic regression analysis of clinical risk factors. Results    Finally 652 patients were collected, including 427 males and 225 females, with an average age of 68.2 years. The results showed that the prediction ability of eXtreme Gradient Boosting was the best among the six machine learning models, and the area under the curve (AUC) in validation dataset was 0.751. At the same time, the AUC of eXtreme Gradient Boosting joint prediction model established by clinical data and carotid artery imaging data validation dataset was 0.823. Conclusion     Radiomics features combined with clinical feature model can effectively identify clinical high-risk carotid plaques.

Objective To establish a rapid and convenient UPLC-MS/MS method for the determination of tamoxifen and its active metabolite endoxifen in plasma of patients with breast cancer.Methods With diazepam as the internal standard,the plasma sample was precipitated with acetonitrile and methanol-acetonitrile was used as mobile phase.The samples were separated by chromatographic column ZORBAX Eclipse plus C18(18 μm,2.1 mm x50 mm)and scanned by electrospray ion source and positive ion multiple reaction monitoring mode.The ion channels were detected as tamoxifen m/z 372.0→72.1,endoxifen m/z 374.0→58.2 and diazepam m/z 285→192.9.Results The linearity of tamoxifen and endoxifen were good in the concentration range of 1-500 ng·mL-1(R2=0.999 5)and 0.5-250 ng·mL-1,respectively(R2=0.999 9).The intra-day and inter-day precision of low,medium and high quality control concentrations were all less than 10％.Tamoxifen and endoxifen were stable at low temperature and stable after repeated freeze-thaw.Conclusion The experimental results show that the method meets the requirements of biological sample analysis,and the sample treatment is simple,specific,and can be used for the accurate and rapid determination of tamoxifen and indoloxifen in human plasma.

Objective To investigate the distribution characteristics of pathogens in adult community-acquired pneumonia(CAP)patients who visited the fever clinic before and after the outbreak of the novel coronavirus infection,and to provide theoretical basis for the diagnosis,treatment,and prevention of CAP.Methods CAP patients who visited the fever clinic of Peking University Third Hospital from June 2017 to July 2022 were included in the study and divided into pre-outbreak and post-outbreak groups based on the time point(January 24,2020,when Beijing entered the first-level COVID-19 prevention and control).Respiratory samples were collected and pathogen nucleic acid detection was performed using real-time fluorescence quantitative polymerase chain reaction.The detection and distribution of pathogens were analyzed.Results A total of 415 CAP patients were included,divided into pre-outbreak group(312 cases)and post-outbreak group(103 cases).Mycoplasma pneumoniae,Streptococcus pneumoniae,and Influenza A virus were the three most common pathogens in the pre-outbreak CAP group.In the post-outbreak community-acquired pneumonia,Influenza B virus,Klebsiella pneumoniae and Streptococcus pneumoniae were the three most common pathogens.The incidence of Influenza A virus,Parainflluenza virus,and Mycoplasma pneumoniae was significantly higher in the pre-outbreak period than in the post-outbreak period,and the differences between the two groups were statistically significant(all P＜0.05).Conclusion Before and after the epidemic,viral infection are the main pathogens of CAP patients,which is of great significance for future empirical treatment,protection of susceptible population and control of infectious diseases.

Objective: To understand the distribution of tobacco retailer within 100 meters outside middle schools in Wuhan City and its impact on smoking behavior of middle school students, so as to provide basis and feasible suggestions for the development of tobacco control policy for adolescents. Methods: From February to May 2023, a multi stage stratified cluster random sampling method was used to select 20 middle schools from 4 districts in Wuhan City. To investigate the distribution of tobacco retailer within 100 metres outside the school and the sale of tobacco to minors. A total of 4 882 students were surveyed using the core questions of the 2021 Chinese Adolescent Tobacco Prevalence Questionnaire. Fisher exact probability test, Chi square test and Chi square trend test were used for statistical analysis. Results: Nearly 70.00% of middle schools had tobacco retailer within 100 metres, with an average of (1.10±0.97) per middle school. The awareness rate (100.00%) and labeling rate (87.50%) of licensed tobacco retailer were higher than those of non licensed tobacco retailer (33.33%, 16.67%) ( P <0.05). The rates of tried smoking, current smoking and buying cigarettes within 30 days were 7.13%, 1.99% and 2.54%, respectively. The rates of students who tried smoking ( 8.58 %), current smoking (2.29%) and buying cigarettes within 30 days (2.85%) in schools with tobacco retailer within 100 metres were higher than those in schools without tobacco retailer (3.79%, 1.28%, 1.83%)( χ 2=35.80, 5.37, 4.37 , P <0.05). And as the grade increased, the rates of tried smoking, current smoking and buying cigarettes among middle school students all showed an upward trend ( χ 2 trend =66.20, 36.10, 16.17, P <0.05). Conclusions Middle school students in Wuhan City have high tobacco availability. The findings suggest that school ban should be extended from 50 meters to 100 meters, and the regulatory authorities must strictly prohibit selling tobacco products to minors at tobacco retailer.

Objective:To study the clinical safety and validity of retrograde new endoscopic field of vision in miniature pigs.Methods:6 live miniature pigs were selected as study subjects,En-doscopic Retrograde New View(ERNV)was selected.The performance,image quality and intraoper-ative and postoperative complications were evaluated.To evaluate whether all the experimental ani-mals could complete the relevant endoscopy.Verify ERNV's operating performance,including whether the duodenoscope can enter the biliary tract smoothly,and made sure whether the injection,suction,and instrument channels were unobstructed.Choledochoscope image clarity,color resolu-tion,image deformation and distortion,accurate evaluation of lumen conditions and clear observation of mucosal surface conditions were analyzed.Whether there were operant injuries such as bleeding and perforation,as well as adverse events such as respiratory depression and cardiac arrest.The sur-vival status and adverse reactions of all pigs were observed.Results:The choledochoscope was successfully inserted into the bile duct of 6 miniature pigs.The product had good operation perfor-mance and could enter the bile duct through the duodenoscope smoothly.The injection,suction and instrument channels were relatively smooth.In addition,the endoscopic images are clear,with better color resolution,and without image deformation and distortion,which can realize accurate evaluation of the conditions in the lumen and observe the mucosal surface conditions more clearly.No bile duct stenosis or dilatation occurred in all miniature pigs,and the bile duct mucosa was smooth,without hyperemia and edema,and no abnormal thickening or bending of mucous vessels.During the exami-nation,there were no operational injuries such as bleeding and perforation,and no adverse events such as respiratory depression and cardiac arrest occurred.The vital signs of all miniature pigs tended to be stable after operation,and the survival state was good,and there were no complications such as cholangitis,bleeding and perforation.Conclusion:ERNV has good clinical safety and efficacy,ex-cellent operation performance and excellent image quality,and is worthy of clinical application.

ObjectiveAngle-closure glaucoma (ACG) is one of the major eye-blinding diseases. To diagnose ACG, it is crucial to examine the anterior chamber angle. Current diagnostic tools include slit lamp gonioscopy, water gonioscopy, ultrasound biomicroscopy (UBM), and anterior segment optical coherence tomography (AS-OCT). Slit lamp and water gonioscopy allow convenient observation of the anterior chamber angle, but pose risks of invasive operation and eye infections. UBM can accurately measure the structure of the anterior chamber angle. However, it is complex to operate and unsuitable for patients, who have undergone trauma or ocular surgery. Although AS-OCT provides detailed images, it is costly. The aim of this study is to explore a non-invasive, non-destructive optical reflection tomography (ORT) technique. This technique can achieve low-cost three-dimensional imaging and full-field anterior chamber angle measurement of the porcine eye. MethodsThe experiment involved assembling an optical reflection tomography system, which included a complementary metal oxide semiconductor (CMOS) camera, a telecentric system, a stepper motor, and a white light source, achieving a spatial resolution of approximately 8.5 μm. The process required positioning the porcine eye at the center of the field of the imaging system and rotating it around its central axis using a stepper motor. Reflection projection images were captured at each angle with an exposure time of 1.0 ms and an interval of 2°. The collected reflection-projection data were processed using a filtered reflection tomography algorithm, generating a series of two-dimensional slice data. These slices essentially represented cross-sectional views of the three-dimensional structural image, and were reconstructed into a complete three-dimensional structural image. Based on the reconstructed three-dimensional structural image of the porcine eye, the anterior chamber angles at different positions were measured, and a distribution map of these angles was drawn. Simultaneously, the ORT measurements were compared with the standard results obtained from optical coherence tomography (OCT) to assess the accuracy of ORT measurements. ResultsIn this study, we successfully obtained the reflection projection data of a porcine eye using ORT technology, reconstructed its three-dimensional structural image, and measured the anterior chamber angle, generating the corresponding distribution map. To better distinguish the different structural parts of porcine eye, the three-dimensional structural image was marked with blue, green, and yellow dashed lines from the outer to the inner layers. The area between the blue and green dashed lines corresponded to the sclera. The area between the green and yellow dashed lines corresponded to the iris. The area inside the yellow dashed line corresponded to the pupil. The three-dimensional structural image clearly revealed the key anatomical features of the porcine eye. It was able to measure the anterior chamber angle at different positions. Additionally, the anterior chamber angle measurements of the porcine eye using ORT were compared with the measurements obtained using a TEL320C1 type OCT system, showing an average deviation of 0.51° and a mean square error MSE of 0.317. ConclusionORT is a non-invasive, non-destructive, low-cost, and high-resolution imaging technique capable of achieving three-dimensional structural imaging and full-field anterior chamber angle measurement of a porcine eye. This technology offers a new perspective for the diagnosis of angle-closure glaucoma and is significant for the screening, diagnosis, and monitoring of eye diseases, potentially benefiting clinics and small hospitals in remote areas in the future.

italic>Lamiophlomis rotata is an important medicinal plant species endemic to the Tibetan Plateau, which is prone to strong climate change impacts on its habitable range due to the high sensitivity of the Tibetan Plateau to climate change. Accurate quantification of species vulnerability to climate change is essential for assessing species extinction risk and developing effective conservation strategies. Therefore, we carried out the α-shape analysis to determine the habitat of L. rotata. We then carried out the climate-niche factor analysis (CNFA) to assess the vulnerability of L. rotata to climate change based on five climate variables (i.e., mean diurnal range, temperature seasonality, mean temperature of warmest quarter, precipitation of driest month and precipitation of warmest quarter) in the context of two shared socioeconomic pathways (i.e., SSP126 and SSP585) and three global climate models (CMCC-ESM2: Centro Euro-Mediterraneo sui Cambiamenti Climatici-Earth System Model version 2; HadGEM3-GC31-LL: Hadley Global Environment Model version 3-Global Coupled configuration 3.1; IPSL-CM6A-LR: Institut Pierre Simon Laplace-Climate Model version 6) during two different periods (2041-2060 and 2081-2100). The vulnerability of L. rotata to climate change was calculated by integrating the sensitivity and exposure indices of L. rotata to five climate variables. The results showed that L. rotata had the highest vulnerability to the precipitation of warmest quarter. Its vulnerability within its habitat range generally showed a spatial pattern of high value in the southern region and low in the northern region, high in the western region and low in the eastern region. In general, the vulnerability of L. rotata under the SSP585 scenario was higher than that under the SSP126 scenario. The climate data of different global climate models have some influence on the results, while the resulted uncertainty can be reduced by data integration methods. As a result of climate change, the pressure on the survival of L. rotata in the future will be intensified in the low-altitude areas such as the Yarlung Zangbo River, Yigongzangbu River, Zayu River, and Jiaomuzu River, etc., while the highly weathered scree flats or stony alpine meadows in the high-altitude zones, such as the eastern Tanggula Mountain Range, the northern part of Hengduan Mountain Range, and the western part of the Qinling Mountains, may become its refuge. It is necessary to focus on and strengthen the protection and management of L. rotata resources in these vulnerble and critical areas.

Damarane-type triterpene saponins are the main active ingredients in Gynostemma pentaphyllum (Thunb.) Makino. By using D101 macroporous adsorption resin and silica gel open-columns, C18 medium-pressure column chromatography, and preparative high performance liquid chromatography, we isolated four compounds from the leaves of G. pentaphyllum planted in Guangxi Zhuang Autonomous Region. Their structures were determined by comprehensive analyses of MS, NMR data and circular dichroism spectroscopy and identified as (3β,12β)-dihydroxy-25-peroxyhydrohydrodammarane-20,23-diene-3-O-[β-D-glucopyranosyl(1→2)]-β-D-glucopyranoside (1), (3β,12β,24S)-trihydroxydammarane-20,25-diene-3-O-[β-D-glucopyranosyl(1→2)]-β-D-glucopyranoside (2), (3β,20α)-dihydroxy-24-en-12β,22S-epoxydammarane-3-O-[β-D-glucopyranosyl(1→2)]-β-D-glucopyranoside (3), (3β,12β,20S)-trihydroxydammarane-24-en-3-O-[6-O-acetyl-β-D-glucopyranosyl(1→2)-β-D-glucopyranosyl]-20-O-β-D-xylopyranosyl(1→3)-α-L-rhamnopyranosyl (1→6)-β-D-glucopyranoside (4). Compounds 1-4 are new dammarane-type triterpene saponins.