The aim of this study was to investigate the improvement effect of Wenpi Pills(WPP) on non-alcoholic fatty liver disease(NAFLD). The experiment was divided into two parts, using C57BL/6 mouse models induced by a high-fat diet(HFD) and a methionine and choline deficiency diet(MCD). The HFD-induced experiment lasted for 16 weeks, while the MCD-induced experiment lasted for 6 weeks. Mice in both parts were divided into four groups: control group, model group, low-dose WPP group(3.875 g·kg~(-1), WPP＿L), and high-dose WPP group(15.5 g·kg~(-1), WPP＿H). After sample collection from the HFD-induced mice, lipid content in the serum and liver, liver function indexes in the serum, and hepatic pathology were examined. Real-time fluorescent quantitative reverse transcription PCR(qRT-PCR) was used to detect the expression of lipid-related genes. After sample collection from the MCD-induced mice, serum liver function indexes and inflammatory factors were measured, and hepatic pathology and lipid changes were analyzed by hematoxylin-eosin(HE) staining and widely targeted lipidomic profiling, respectively. The results from the HFD-induced experiment showed that, compared with the HFD group, WPP administration significantly reduced the levels of aspartate aminotransferase(AST), alanine aminotransferase(ALT), triglyceride(TG), and total cholesterol(TC) in the serum, with the WPP＿H group showing the most significant improvement. HE staining results indicated that, compared with the HFD group, WPP treatment improved the morphology of white adipocytes, reducing their size, and alleviated hepatic steatosis and lipid droplet accumulation. The qRT-PCR results suggested that WPP might increase the mRNA expression of liver cholesterol-converting genes, such as liver X receptor α(LXRα) and cytochrome P450 family 27 subfamily A member 1(CYP27A1), as well as lipid consumption genes like peroxisome proliferator-activated receptor α(PPARα) and adenosine mono-phosphate-activated protein kinase(AMPK). Meanwhile, WPP decreased the mRNA expression of lipid synthesis genes, including fatty acid synthetase(FAS), stearoyl-CoA desaturase 1(SCD1), and sterol regulatory element-binding protein 1c(SREBP-1c), thereby reducing liver lipid accumulation. The results from the MCD-induced experiment showed that, compared with the MCD group, WPP administration reduced the levels of ALT, AST, and inflammatory factors in the serum, thereby alleviating liver injury and the inflammatory response. HE staining of liver tissue indicated that WPP effectively improved hepatic steatosis. Non-targeted lipidomics analysis showed that WPP improved lipid metabolism disorders in the liver, mainly by affecting the metabolism of TG and cholesterol esters. In conclusion, WPP can improve hepatic lipid accumulation in NAFLD mice induced by both HFD and MCD. This beneficial effect is primarily achieved by alleviating liver injury and inflammation, as well as regulating lipid metabolism.
Animals ; Non-alcoholic Fatty Liver Disease/genetics* ; Lipid Metabolism/drug effects* ; Mice ; Mice, Inbred C57BL ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Diet, High-Fat/adverse effects* ; Liver/drug effects* ; Humans ; Disease Models, Animal ; Methionine

Objective To achieve intelligent recognition and segmentation of common craniocerebral inju-ries(hereinafter referred to as"segmentation")by training convolutional neural network DeepLabV3+model based on CT images of blunt craniocerebral injury(BCI),and to explore the value of deep learning in automated diagnosis of BCI in forensic medicine.Methods A total of 5 486 CT images of BCI from living persons were collected as the training set,validation set and test set for model training and performance evaluation.Another 255 CT images of BCI and 156 normal craniocerebral CT images from living persons were collected as the blind test set to evaluate the ability of the model to seg-ment the five types of craniocerebral injuries including scalp hematoma,skull fracture,epidural hema-toma,subdural hematoma,and brain contusion.Another 340 BCI and 120 normal craniocerebral CT images from cadavers were collected as the new blind test set to explore the application value of the model trained by living CT images in the segmentation of BCI in cadavers.The five types CT images of all BCI except the blind test set were manually labeled;then,each dataset was inputted into the model to train the model.The performance of the model was evaluated and optimized based on the loss function and accuracy curves of the training set and validation set,and the generalization ability was evaluated based on the Dice value of the test set.According to the accuracy,precision and F1 value of the blind test set,the segmentation performance of the model for five types of BCI was evaluated.Results After training and optimizing the model,the average Dice values of the final optimal model to scalp hematoma,skull fracture,epidural hematoma,subdural hematoma and brain contusion segmen-tation were 0.766 4,0.812 3,0.938 7,0.782 7 and 0.858 1,respectively,all greater than 0.75,meeting the expected requirements.External validation showed that the F1 values were 93.02%,89.80%,87.80%,92.93%and 86.57%in living CT images,respectively;83.92%,44.90%,76.47%,64.29%and 48.89%in cadaveric CT images,respectively.The above suggested that the model was able to accu-rately segment various types of craniocerebral injury on living CT images,while its segmentation ability was relatively poor on cadaveric CT images,but still able to accurately segment scalp hematoma,epidu-ral hematoma and subdural hematoma.Conclusion Deep learning model trained on CT images can be used for BCI segmentation.However,the direct use of living persons'BCI models for the identifica-tion of cadaveric BCI has some limitations.This study provides a new approach for intelligent segmen-tation of virtual anatomical data for BCI.

As a recognized rare and highly fatal disease, hereditary angioedema (HAE) is difficult to diagnose and characterized by recurrent edema involving the head, limbs, genitals and larynx, etc. Diagnosis of HAE is not difficult. However, low incidence and lack of clinical characteristics lead to difficulty of doctors on timely diagnosis and correct intervention for HAE patients. Therefore, it is crucial to improve the awareness of this disease and prevent its recurrence. for HAE patients. In view of absent cognition of doctors and the general public on HAE, patients often suffer from sudden death or become disabled due to laryngeal edema which cannot be treated in time. Thus, based on the Internet mobile terminal platform, the team set up an all-day rapid emergency response system which is provided for HAE patients by setting up "one-click help". The aim is to offer optimization on overall management of HAE and designed the intelligent follow-up management to provide timely assistance and specialized suggestion for patients with acute attacks.
Humans ; Angioedemas, Hereditary/drug therapy*

As a recognized rare and highly fatal disease, hereditary angioedema (HAE) is difficult to diagnose and characterized by recurrent edema involving the head, limbs, genitals and larynx, etc. Diagnosis of HAE is not difficult. However, low incidence and lack of clinical characteristics lead to difficulty of doctors on timely diagnosis and correct intervention for HAE patients. Therefore, it is crucial to improve the awareness of this disease and prevent its recurrence. for HAE patients. In view of absent cognition of doctors and the general public on HAE, patients often suffer from sudden death or become disabled due to laryngeal edema which cannot be treated in time. Thus, based on the Internet mobile terminal platform, the team set up an all-day rapid emergency response system which is provided for HAE patients by setting up "one-click help". The aim is to offer optimization on overall management of HAE and designed the intelligent follow-up management to provide timely assistance and specialized suggestion for patients with acute attacks.
Humans ; Angioedemas, Hereditary/drug therapy*

Objective: To investigate the localization methods of supratrochlear artery (STA) and supraorbital artery (SOA), and to explore the clinical benefit of locating nerve via accompanying vascular localization in combined transfrontal and intranasal endoscopic approaches. Methods: From June 2019 to May 2021, 14 patients, including 11 males and 3 females, aging from 18 to 69 years old, were underwent frontal sinus surgery through the combined transfrontal and intranasal endoscopic approaches in the Department of Otorhinolaryngology Head and Neck Surgery of the Third Affiliated Hospital of Sun Yat-sen University. Before the surgery, localization of STA and SOA was determined by color doppler flow imaging (CDFI), computerized topographic angiography (CTA) and contrast enhanced magnetic resonance angiography (CE-MRA) respectively, and the distances between STA and SOA from facial midline were measured on 28 eyebrows. The position of external incision was determined according to the preoperative localization of STA and SOA. The examination time, cost and postoperative complications of the three methods were recorded. The accuracy of localization at 14 sides was verified by the surgery. GraphPad Prism 8.3 software was used for statistical analysis. Results: STA and SOA could be located by CDFI, CTA and CE-MRA. There was no significant difference in the measurement of the distance between STA and SOA from the facial midline among 3 methods (all P>0.05). Determining the position of external incision according to the localization of STA and SOA could protect both the blood vessels and accompanying nerves. No postoperative complications such as numbness of the forehead skin occurred. The measurement time of CDFI, CTA and CE-MRA was 22.50 (15.75, 30.00), 30.00 (28.00, 34.25) and 48.00 (44.00, 52.75) min (M (Q₁, Q₃)), respectively (all P<0.05). CDFI incurred the lowest costs and took the shortest time. Conclusions: CDFI is an efficient and economic localization method. The localization of STA and SOA facilitates the precise selection of the position of external incision, protects the accompanying nerve and reduces postoperative complications.
Adolescent ; Adult ; Aged ; Angiography ; Arteries ; Endoscopy ; Female ; Humans ; Male ; Middle Aged ; Postoperative Complications ; Young Adult

Objective:Structure-based angiotension converting enzyme 2 (ACE2) and interleukin-6R (IL-6R) were taken as the target proteins to in the investigation of the material basis of Xuanfei Huazhuo prescription in the treatment of coronavirus disease-2019 (COVID-19) by molecular docking. Method:The compounds in Xuanfei Huazhuo prescription were retrieved through TCMSP. Structure-based ACE2 and IL-6R were taken as the target proteins to screen out the compounds with a better activity by molecular docking, and analyze structural properties of these compounds. Furthermore, the potential molecular mechanism of Xuanfei Huazhuo prescription in the treatment of COVID-19 was analyzed by target reverse prediction. Result:There were 312 potentially active compounds in Xuanfei Huazhuo prescription, including 75 highly active compounds and 15 highly active compounds for ACE2. There were 100 eligible active compounds and 3 highly active compounds for IL-6R, most of which belong to flavonoids. The herb-component-target network included 10 herbs, 126 compounds and 130 targets. String analysis showed that PIK3R1, SRC, AKT1, AR and EGFR might be the key targets of Xuanfei Huazhuo prescription. Conclusion:Based on the virtual screening of multi-target molecular docking, the anti-virus and anti-inflammatory material basis of Xuanfei Huazhuo prescription was preliminarily obtained. At the same time, based on the reverse prediction and analysis, potential targets and molecular mechanism of the recipe in the treatment of COVID-19 were explored, so as to provide clues for the multi-angle mining of Xuanfei Huazhuo prescription and its relevant prescriptions and the modernization development of monomer components.