ObjectiveTo observe the clinical efficacy and safety of Modified Guomin Decoction （加味过敏煎， MGD） in patients with mild to moderate atopic dermatitis （AD） of the traditional Chinese medicine （TCM） pattern of heart fire and spleen deficiency， and to explore its possible mechanisms. MethodsIn this randomized， double-blind， placebo-controlled study， 72 patients with mild to moderate AD and the TCM pattern of heart fire and spleen deficiency were randomly divided into a treatment group and a control group， with 36 cases in each group. The treatment group received oral MGD granules combined with topical vitamin E emulsion， while the control group received oral placebo granules combined with topical vitamin E treatment. Both groups were treated twice daily for 4 weeks. Clinical efficacy， TCM syndrome scores， Visual Analogue Scale （VAS） for pruritus， Dermatology Life Quality Index （DLQI） scores， Scoring Atopic Dermatitis （SCORAD） and serum biomarkers， including interleukin-33 （IL-33）， interleukin-1β （IL-1β）， immunoglobulin E （IgE）， and tumor necrosis factor-α （TNF-α） were compared before and after treatment. Safety indexes was also assessed. ResultsThe total clinical effective rates were 77.78% （28/36） in the treatment group and 38.89% （14/36） in the control group， with cure rates of 19.44% （7/36） and 2.78% （1/36）， respectively. The treatment group showed significantly better clinical outcomes compared to the control group （P＜0.05）. The treatment group exhibited significant reductions in total TCM syndrome scores， including erythema， edema， papules， scaling， lichenification， pruritus， irritability， insomnia， abdominal distension， and fatigue scores， as well as reductions in VAS， DLQI， SCORAD， and serum IgE and IL-33 levels （P＜0.05 or P＜0.01）. Compared to the control group， the treatment group had significantly better improvements in all indicators except for insomnia （P＜0.05）. No adverse events occurred in either group. ConclusionMGD is effective and safe in treating mild to moderate AD patients with heart fire and spleen deficiency pattern. It significantly alleviates pruritus， improves TCM syndromes and quality of life， and enhances clinical efficacy， possibly through modulation of immune responses.

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 explore the potential effects and mechanisms of Liang-Ge-San (LGS) for the treatment of acute respiratory distress syndrome (ARDS) through network pharmacology analysis and to verify LGS activity through biological experiments. METHODS: The key ingredients of LGS and related targets were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform. ARDS-related targets were selected from GeneCards and DisGeNET databases. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed using the Metascape Database. Molecular docking analysis was used to confirm the binding affinity of the core compounds with key therapeutic targets. Finally, the effects of LGS on key signaling pathways and biological processes were determined by in vitro and in vivo experiments. RESULTS: A total of LGS-related targets and 496 ARDS-related targets were obtained from the databases. Network pharmacological analysis suggested that LGS could treat ARDS based on the following information: LGS ingredients luteolin, wogonin, and baicalein may be potential candidate agents. Mitogen-activated protein kinase 14 (MAPK14), recombinant V-Rel reticuloendotheliosis viral oncogene homolog A (RELA), and tumor necrosis factor alpha (TNF-α) may be potential therapeutic targets. Reactive oxygen species metabolic process and the apoptotic signaling pathway were the main biological processes. The p38MAPK/NF-κ B signaling pathway might be the key signaling pathway activated by LGS against ARDS. Moreover, molecular docking demonstrated that luteolin, wogonin, and baicalein had a good binding affinity with MAPK14, RELA, and TNF α. In vitro experiments, LGS inhibited the expression and entry of p38 and p65 into the nucleation in human bronchial epithelial cells (HBE) cells induced by LPS, inhibited the inflammatory response and oxidative stress response, and inhibited HBE cell apoptosis (P<0.05 or P<0.01). In vivo experiments, LGS improved lung injury caused by ligation and puncture, reduced inflammatory responses, and inhibited the activation of p38MAPK and p65 (P<0.05 or P<0.01). CONCLUSION LGS could reduce reactive oxygen species and inflammatory cytokine production by inhibiting p38MAPK/NF-κ B signaling pathway, thus reducing apoptosis and attenuating ARDS.
Drugs, Chinese Herbal/pharmacology* ; Respiratory Distress Syndrome/enzymology* ; p38 Mitogen-Activated Protein Kinases/metabolism* ; NF-kappa B/metabolism* ; Animals ; Signal Transduction/drug effects* ; Molecular Docking Simulation ; Humans ; Male ; Network Pharmacology ; Apoptosis/drug effects* ; Mice

OBJECTIVE: To identify the underlying mechanism by which quercetin (Que) alleviates sepsis-related acute respiratory distress syndrome (ARDS). METHODS: In vivo, C57BL/6 mice were assigned to sham, cecal ligation and puncture (CLP), and CLP+Que (50 mg/kg) groups (n=15 per group) by using a random number table. The sepsisrelated ARDS mouse model was established using the CLP method. In vitro, the murine alveolar macrophages (MH-S) cells were classified into control, lipopolysaccharide (LPS), LPS+Que (10 μmol/L), and LPS+Que+acetylcysteine (NAC, 5 mmol/L) groups. The effect of Que on oxidative stress, inflammation, and apoptosis in mice lungs and MH-S cells was determined, and the mechanism with reactive oxygen species (ROS)/p38 mitogen-activated protein kinase (MAPK) pathway was also explored both in vivo and in vitro. RESULTS: Que alleviated lung injury in mice, as reflected by a reversal of pulmonary histopathologic changes as well as a reduction in lung wet/dry weight ratio and neutrophil infiltration (P<0.05 or P<0.01). Additionally, Que improved the survival rate and relieved gas exchange impairment in mice (P<0.01). Que treatment also remarkedly reduced malondialdehyde formation, superoxide dismutase and catalase depletion, and cell apoptosis both in vivo and in vitro (P<0.05 or P<0.01). Moreover, Que treatment diminished the release of inflammatory factors interleukin (IL)-1β, tumor necrosis factor-α, and IL-6 both in vivo and in vitro (P<0.05 or P<0.01). Mechanistic investigation clarifified that Que administration led to a decline in the phosphorylation of p38 MAPK in addition to the suppression of ROS expression (P<0.01). Furthermore, in LPS-induced MH-S cells, ROS inhibitor NAC further inhibited ROS/p38 MAPK pathway, as well as oxidative stress, inflammation, and cell apoptosis on the basis of Que treatment (P<0.05 or P<0.01). CONCLUSION Que was found to exert anti-oxidative, anti-inflammatory, and anti-apoptotic effects by suppressing the ROS/p38 MAPK pathway, thereby conferring protection for mice against sepsis-related ARDS.
Animals ; Sepsis/drug therapy* ; Quercetin/therapeutic use* ; Respiratory Distress Syndrome/enzymology* ; p38 Mitogen-Activated Protein Kinases/metabolism* ; Mice, Inbred C57BL ; Reactive Oxygen Species/metabolism* ; Apoptosis/drug effects* ; Male ; Oxidative Stress/drug effects* ; MAP Kinase Signaling System/drug effects* ; Lung/drug effects* ; Mice ; Lipopolysaccharides ; Macrophages, Alveolar/pathology* ; Inflammation/pathology* ; Protective Agents/therapeutic use*

OBJECTIVE To study the toxicokinetics and tissue distribution characteristics of alpha-amanitin in rats.METHODS The tail venous blood was collected from SD rats before and 5,10,20,30 and 45 min,1,1.5,2.5,4 and 8 h after intraperitoneal injection of alpha-amanitin(1.5 mg·kg-1),and the concentration of alpha-amanitin in blood was determined by liquid chromatography-mass spectrometry(LC-MS/MS).DAS 2.0 software was used to analyze and plot the drug-time curve with toxicokinetic parame-ters.Based on the toxicokinetics results,18 SD rats were randomly divided into three groups.The rats were sacrificed,and left ventricular arterial(LVA)blood and 9 types of tissue samples involving the heart,liver,spleen,lung,kidney,whole brain,small intestine,stomach wall and testis were collected 15 min,40 min and 2.5 h after dosing,and the concentrations of alpha-amanitin were measured by LC-MS/MS to obtain the tissue distribution results of alpha-amanitin in SD rats.RESULTS Toxicokinetics studies revealed that the peak blood concentration(Cmax)was(633±121)μg·L-1,the elimination half-life(T1/2)was(0.72±0.37)h,and the peak time(Tmax)was(0.52±0.16)h.The total clearance rate(CLz)was(1.62±0.26)L·h·kg-1,the area under the curve(AUC0-t)was(946±183)μg·h·L-1,and the mean reten-tion time(MRT0-t)was(1.18±0.17)h.The apparent volume of distribution(Vz)was(1.65±0.86)L·kg-1.The results of tissue distribution study showed that alpha-amanitin was widely distributed in SD rats with the highest concentration in the kidney,followed by the lung,small intestines,stomach wall,LVA blood and liver,but was low in the heart,spleen,testicles and other tissues,and very low in the brain.Alpha-amanitin was absorbed and eliminated quickly,peaked at 40 min in each tissue,and the concen-tration was minimized after 2.5 h.CONCLUSION The absorption and elimination of alpha-amanitin by intraperitoneal injection are rapid in SD rats,and the blood concentration reaches the peak about 31 min after administration,but can not be detected 4 h later.Alpha-amanitin is mainly distributed in the kidney,followed by the tissues and metabolic organs with rich blood flow,such as the lung,small intestines,stomach wall,LVA blood and liver.The content of alpha-amanitin is low in the heart,spleen,testicles and other tissues,and very low in the brain.It is speculated that it may have toxic targeting effect on the kidney and low blood-brain barrier permeability.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

Objective To investigate the inhibitory effect of mannose on proliferation and apoptosis of HeLa cells of cervical cancer and its effect on Wnt/β-catenin pathway.Methods Cervical cancer HeLa cells were cultured in vitro and divided into control group(without any treatment)and low,medium and high dose experimental groups(cells treated with 5,10 and 25 mmol·L-1 mannose).Cell counting kit 8(CCK-8)and flow cytometry were used to detect cell proliferation and apoptosis.The B cell lymphoma-2(Bcl-2),p21,Bcl-2 associated X protein(Bax)and Wnt/β-catenin pathway-related proteins were detected by Western blot.Results The cell inhibition rates of control group and low,medium,high dose experimental groups were(0.00±0.13)％,(11.25±3.42)％,(23.78±3.41)％and(35.98±4.52)％;apoptosis rates were(4.59±0.35)％,(11.45±1.32)％,(18.47±2.01)％and(25.69±2.43)％;p21 protein expression were 0.21±0.03,0.34±0.04,0.51±0.06 and 0.69±0.05;the Bcl-2 protein expression were 0.89±0.06,0.67±0.04,0.52±0.05 and 0.35±0.06;Bax protein expression were 0.34±0.05,0.49±0.06,0.65±0.07 and 0.81±0.06;Wnt1 protein expression were 0.74±0.07,0.60±0.05,0.46±0.05 and 0.32±0.04;β-catenin protein expression were 0.80±0.06,0.65±0.05,0.47±0.06 and 0.29±0.05.The above indexes showed statistically significant differences between control group and low,medium and high dose experimental groups(all P＜0.05).Conclusion Mannose inhibits proliferation and induces apoptosis of HeLa cells of cervical cancer,and the mechanism may be related to the inhibition of Wnt/β-catenin pathway.

Objective:To develop a Core Competency Scale for Ophthalmic Specialist Nurses and test its reliability and validity.Methods:This study was a questionnaire development study. This study transformed the core competency evaluation indicators for ophthalmic specialist nurses constructed through literature review, semi-structured interviews, expert consultations, and other methods to form the initial draft of the Core Competency Scale for Ophthalmic Specialist Nurses. From October 2022 to March 2023, a survey was conducted on 364 ophthalmic specialist nurses in China using purposive and snowball sampling. Item analysis, exploratory factor analysis, and reliability testing were performed on the scale.Results:The final Core Competency Scale for Ophthalmic Specialist Nurses included six dimensions of ophthalmic specialized knowledge, ophthalmic specialized skills, essential nursing practice ability, communication and education ability, scientific research ability, and professional competence, totaling 30 items. Exploratory factor analysis extracted six common factors, with a cumulative variance contribution rate of 73.077%. The total Cronbach's α coefficient of the scale was 0.955, the half reliability coefficient was 0.796, and the retest reliability coefficient was 0.973.Conclusions:The Core Competency Scale for Ophthalmic Specialist Nurses has good reliability and validity, which can be used to evaluate the core competency of ophthalmic specialist nurses.

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]

Objective To design a log strategy-based medical imaging equipment monitoring and management system to achieve intelligent monitoring and management based on the Internet of Things.Methods A medical imaging equipment monitoring and management system was developed with B/S architecture and Java language.The system constructed a keyword database of medical imaging equipment logs and log parsing rules by designing a strategy for collecting and analyzing medical imaging equipment log information,which consisted of three functional modules for intelligent analysis of medical imaging equipment abnormal status logs,intelligent reminder of medical imaging equipment monitoring parameter settings and risky failures and operational benefit analysis of medical imaging equipment.Results The system developed realized closed-loop management of medical imaging equipment through intelligent monitoring,shortened the average fault reporting and processing time and improved the efficiency of medical imaging equipment management.Conclusion The system developed implements intelligent mangement and benefit analysis for medical imaging equipment,and provides support for precision managment and decision making in modem hospitals.[Chinese Medical Equipment Journal,2024,45(7):40-45]