This study aimed to compare the ameliorative effects of Lycii Fructus and Chrysanthemi Flos at different ratios on retinal damage in mice and to elucidate the underlying mechanisms. A retinal injury model was established by intraperitoneal injection of sodium iodate(NaIO_3) solution. The mice were divided into the following groups: blank group, model group, positive drug(AREDS 2) group, low-and high-dose groups of Lycii Fructus and Chrysanthemi Flos at 1∶1, low-and high-dose groups at 3∶1, and low-and high-dose groups at 1∶3. Administration was carried out 15 days after modeling. The visual acuity of the mice was assessed using the black-and-white box test. The fundus was observed using an optical coherence tomography device, and retinal thickness was measured. HE staining was used to observe the morphology and pathological changes of the retina. The levels of oxidative factors in serum and ocular tissues were measured using assay kits. The levels of inflammatory factors in serum and ocular tissues were detected by enzyme-linked immunosorbent assay(ELISA), and the expression of Nrf2, HO-1, and NF-κB proteins in ocular tissues was analyzed by Western blot. The results showed that after administration of Lycii Fructus and Chrysanthemi Flos at different ratios, the model group showed improved retinal thinning and disordered arrangement of retinal layers, elevated content of SOD and GSH in the serum and ocular tissues, and reduced levels of MDA, TNF-α, IL-1β, and IL-6. Lycii Fructus and Chrysanthemi Flos at 1∶1 and 1∶3 showed better improvement effects. The combination significantly upregulated the expression levels of Nrf2 and HO-1 and downregulated the expression of NF-κB p65. These results indicate that Lycii Fructus and Chrysanthemi Flos at different ratios can improve retinal damage, reduce oxidative stress, and alleviate inflammation in both the body and ocular tissues of mice. The mechanism may be related to the regulation of the Nrf2/HO-1 and NF-κB signaling pathways in ocular tissues. These findings provide a theoretical basis for the clinical application of Lycii Fructus and Chrysanthemi Flos in the treatment of dry age-related macular degeneration.
Animals ; Mice ; Retina/injuries* ; Male ; Lycium/chemistry* ; Drugs, Chinese Herbal/administration & dosage* ; Chrysanthemum/chemistry* ; NF-kappa B/genetics* ; Humans ; Retinal Diseases/metabolism* ; NF-E2-Related Factor 2/metabolism* ; Oxidative Stress/drug effects* ; Flowers/chemistry* ; Heme Oxygenase-1/genetics*

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

Objective To propose a method for classifying small bowel capsule endoscopy images by combining the Swin Transformer network with an improved Adapt-RandAugment data augmentation approach,aiming to enhance the accuracy and efficiency of small bowel lesion classification and recognition.Methods An Adapt-RandAugment data augmentation approach was formulated based on the RandAugment data enhancement sub-strategy and the principles of no feature loss and no distortion when enhancing small bowel capsule endoscopy images.In the publicly available Kvasir-Capsule dataset of small bowel capsule endoscopic images,the Adapt-RandAugment data augmentation approach was trained based on the Swin Transformer network,and the convolutional neural networks ResNet152 and DenseNet161 were used as the benchmarks to validate the combined Swin Transformer network and Adapt-RandAugment data augmentation approach for small bowel capsule endoscopy image classification.Results The proposed algorithm gained advantages over ResNet152 and DenseNet161 networks in the indicators,which had the macro average precision(MAC-PRE),macro average recall(MAC-REC),macro average F1 score(MAC-Fi-S)being 0.383 2,0.314 8 and 0.290 5 respectively,the micro average precision(MIC-PRE),micro average recall(MIC-REC)and micro average F1 score(MIC-Fi-S)all being 0.755 3,and the Matthews correlation coe-fficient(MCC)being 0.452 3.Conclusion The proposed small bowel capsule endoscopy image classification method based on Swin Transformer network and Adapt-RandAugment data augmentation approach behaves well in classified recognition efficiency and accuracy.[Chinese Medical Equipment Journal,2024,45(6):9-16]

The working principle of TMC BC ROBO 6 intelligent blood collection system was described in brief.The causes of three faults during daily operation of the system were analyzed,and the countermeasures were put forward accordingly.References were provided for clinical engineers to treat similar faults.[Chinese Medical Equipment Journal,2024,45(6):113-116]

Polysaccharides have significant immunomodulatory activity and have good development value in food and medicine fields. At present, there are many studies on the chemical structure and immune activity of polysaccharides, but the relationship between them of polysaccharides has not been fully explained, which limits the further development and utilization of polysaccharide resources. The immune activity of polysaccharides is closely related to their own structure. This paper systematically summarized the relationship between the relative molecular weight, monosaccharide composition, glycosidic bond types, chemical modification, and advanced conformation of polysaccharides and the immune regulation, aiming to provide references for the profound study of polysaccharide structure-activity relationship and utilization of polysaccharides.
Monosaccharides/chemistry* ; Structure-Activity Relationship ; Molecular Weight ; Antioxidants/pharmacology* ; Polysaccharides/chemistry*

Huoluo Xiaoling Dan is a classical prescription commonly used for blood circulation and pain relief in clinic with obvious effects. To make it directly treat lesion and improve the effect, this research optimized the preparation process of Huoluo Xiaoling gel paste and further evaluated its in vitro transdermal absorption performance, so as to provide a scientific basis for its development and utilization. Using primary viscosity, holding viscosity, and sensory score as evaluation indexes, the matrix amount of gel paste was determined by the single factor test and Box-Behnken response surface method. The ultra-performance liquid chromatography(UPLC) method was established to determine the content of eight active ingredients, including Danshensu, ferulic acid, salvianolic acid B, salvianolic acid A, ligustilide, tanshinone Ⅱ_A, 11-keto-β-boswellic(KBA), and 3-acetyl-11-keto-β-boswellic acid(AKBA). A mo-dified Franz diffusion cell method was used to evaluate and compare the absorption properties of the gel paste without volatile oil and with volatile oil microemulsion. The results showed that the optimal prescription for Huoluo Xiaoling gel paste matrix was NP700(1.35 g), glycerol(7.00 g), micropowder silica gel(1.25 g), sodium carboxymethyl cellulose(0.20 g), tartaric acid(0.06 g), and glyceryl aluminum(0.04 g). The mass fractions of eight active ingredients in the paste were successively 0.48, 0.014, 0.95, 0.39, 0.57, 0.055, 0.35, and 0.97 mg·g~(-1). The results of the in vitro transdermal absorption test showed that the addition of the volatile oil or the volatile oil microemulsion promoted the transdermal absorption of the active ingredients, and the law of drug penetration conformed to the zero equation or the Higuchi equation. The gel paste prepared by the optimal prescription has good appearance and adhesion, with no residue, and has the characteristics of skeletal slow-release preparation, which is easy to reduce the number of administration, la-ying a foundation for the development of new external dosage forms of Huoluo Xiaoling Dan.
Administration, Cutaneous ; Skin Absorption ; Chromatography, Liquid ; Oils, Volatile ; Viscosity

Hepatic encephalopathy is a common metabolic neuropsychiatric syndrome in the development of end-stage liver disease. Since the concept of intestinal-liver-brain axis was proposed, the relationship between the pathogenesis of hepatic encephalopathy and the gut microbiota has been a hot research topic. In recent years, studies have confirmed that gut microbiota is involved in and affects various pathological processes of hepatic encephalopathy. This article combines the latest research progress at home and abroad to elaborate on the research status of regulating gut microbiota and thus interfering with the pathological process of hepatic encephalopathy, hoping to provide new ideas and methods for the intervention of hepatic encephalopathy based on the regulation of gut microbiota.

An immunologically stressed rat model was used in a metabolomics study on the ability of Paeoniae Rubra Radix to reduce the liver toxicity of Psoraleae Fructus. Different groups of rats were given the extracts of Psoraleae Fructus and Psoraleae Fructus together with Paeoniae Rubra Radix or combined with a non-toxic dose of lipopolysaccharide (LPS). The biochemical indices of liver function and pathological changes in liver tissue were used to evaluate histopathological changes. UHPLC-QTOF/MS was used to analyze the metabolic profile of serum samples, combined with principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) methods. The HMDB database and Metabo Analyst online tool were used for biomarker identification and metabolic pathway-enrichment analysis. The results show that the co-treatment Psoraleae Fructus and LPS resulted in significant liver injury, indicated by the elevation of aspartate aminotransferase (AST) and alanine aminotransferase (ALT) activities, as well as obvious pathological changes. Liver injury was significantly decreased by treatment with Paeoniae Rubra Radix. Metabolomic analysis showed that the addition of Paeoniae Rubra Radix ameliorated the abnormal serum metabolism in rats mainly through regulation of arachidonic acid metabolism and glycerophospholipid metabolism pathways.

Objective:To investigate the effect of Chloriti Lapis on metal elements in brain tissue and plasma of epileptic rats kindled by pentylenetetrazol （PTZ）， and to explore the possible material basis of Chloriti Lapis. Method:PTZ kindling method was used to establish epileptic rat model. Inductively coupled plasma mass spectrometry （ICP-MS） and inductively coupled plasma optical emission spectrometer （ICP-OES） were used to determine the contents of metal elements in brain tissue and plasma of the blank group， model group， carbamazepine group （0.1 g·kg^-1） and Chloriti Lapis group （2 g·kg^-1）. The data were statistically analyzed by SPSS 18.0 software. Result:Compared with the blank group， the contents of Sr， Sb and Ba in brain tissue of rats in the model group were significantly increased （P<0.05， P<0.01）， while the contents of Zn， Fe， Cu， K， Li， Co， Sn and Pb were significantly decreased （P<0.05， P<0.01）. Compared with the model group， the contents of Zn， Fe， K， Li， Co， As and Pb in brain tissue of rats in the Chloriti Lapis group were obviously increased （P<0.05， P<0.01）， while the contents of Sr and Sb were significantly decreased （P<0.01）. These results showed that Chloriti Lapis had positive effect on the regulation of the content of metal elements in rat brain tissue to normal level， the intervention effect was clear， and the overall effect was better than that of carbamazepine group. The determination of 21 metal elements in plasma showed that compared with the blank group， the levels of K， Sr and Cd in the model group were significantly increased （P<0.05）， and the contents of Li， Al， Ti and Cr were significantly decreased （P<0.05）. Compared with the model group， the contents of Ca， K， Li， Al and V in the Chloriti Lapis group were obviously increased （P<0.05， P<0.01）， and the contents of Fe， Ti， Sr and Cd were significantly decreased （P<0.05，P<0.01）. The correlation analysis of metal elements among the groups showed that there were 17 pairs of elements had positively correlation in the brain tissue of rats， 2 pairs of elements had significant negative correlation. In the plasma of rats， 8 pairs of elements had significant positive correlation and 6 pairs of elements had significant negative correlation. Conclusion:The metal element groups represented by Zn， Fe， K， Li， Co， As， Pb， Sr， Sb， Ca， Al， V， Ti and Cd may be the effective material basis for Chloriti Lapis to interfere PTZ-kindled epileptic model rats， which may be related to the influence of these metal element groups on the release of neurotransmitters and the electrical balance of neurons， the regulation of abnormal synchronous discharge induced by Na⁺， K⁺， Ca²⁺ channel disorders and intervention of metabolism pathways in brain tissue related to epilepsy. It can make the excitatory and inhibitory activities restrain each other， and finally reach the normal physiological state of neurons and cells. The intervention effect of Chloriti Lapis group was better than that of carbamazepine group.

Objective:To explore the possible mechanism of Chloriti Lapis in the treatment of epilepsy by the metabonomics of brain tissue in pentylenetetrazol （PTZ）-kindled epileptic rats treated with Chloriti Lapis. Method:The epileptic animal model in rats was established by PTZ kindling， and the rats were divided into the control group， model group， carbamazepine group and Chloriti Lapis group. The brain tissue samples were detected by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry（UPLC/Q-TOF-MS）， and the experimental results were statistically analyzed by partial least squares-discriminant analysis （PLS-DA） and SPSS 18.0. Result:The metabolic fingerprints and metabolic profiles of the rat brain tissue were established， which showed that the metabolic profiles of each group had changed significantly and could be separated well among the groups. Moreover， the Chloriti Lapis group had a tendency to be closer to the control group than the carbamazepine group. Seven differential metabolites were screened， including phosphatidylserine （PS） （18∶0/18∶0）， L-glutamic acid， docosahexaenoyl ethanolamide， arachidonic acid， glucosylsphingosine， cholestane-3，7，12，24，25-pentol and lysophosphatidylcholine （LysoPC） （P-18∶0）. Except for docosahexaenoyl ethanolamide and LysoPC （P-18∶0）， Chloriti Lapis had significant intervening and regulating effects on the other five differential metabolites. There were 12 possible metabolic pathways that affected the metabolic disorder of PTZ-kindled rats， and 3 important metabolic pathways （pathway impact>0.1）， namely， D-glutamine and D-glutamate metabolism， alanine， aspartate and glutamate metabolism， and arachidonic acid metabolism， among which D-glutamine and D-glutamate metabolism was the most important metabolic pathways. Conclusion:From this point of view， Chloriti Lapis has a clear intervention effect on PTZ-kindled epileptic rats， which may be related to the intervention of the above differential metabolite contents and related metabolic pathways. It can reduce the toxic effect of excitatory neurotransmitters on neurons in brain tissue and inhibit the development of inflammation in brain tissue， so as to maintain the biological function of brain cells and slow down the occurrence of epilepsy.