AIM: To explore the diagnostic value of 18 MHz color Doppler ultrasonography for epiretinal membrane.METHODS: A total of 44 cases(80 eyes)of patients with proposed diagnosis of cataract and vitreous opacity by fundus examination in our hospital between January 2020 and January 2022 were collected, and the affected eyes were examined by optical coherence tomography(OCT)and 18 MHz color Doppler ultrasonography, and the differences in the diagnostic sensitivity, specificity, and accuracy were compared between 18 MHz color Doppler ultrasonography and OCT for the diagnosis of epiretinal membrane.RESULTS: In the 80 eyes detected by 18 MHz color Doppler ultrasonography, 62 had epiretinal membrane and 18 had non epiretinal membrane. Totally 54 eyes were confirmed to have epiretinal membrane by OCT, 13 eyes were not diagnosed with epiretinal membrane, 5 eyes were missed diagnosis, and 8 eyes were misdiagnosed. The diagnostic consistency between 18 MHz color Doppler ultrasonography and OCT was high(Kappa=0.892, P<0.05); the 18 MHz color Doppler ultrasonography detection sensitivity of epiretinal membrane was 92%, specificity was 62%, missed diagnosis rate was 8%, misdiagnosis rate was 38%, and accuracy was 84%; compared with OCT detection, 18 MHz color Doppler ultrasonography detected a lower specificity, correct rate, positive prediction accuracy, negative prediction accuracy, and higher misdiagnosis rate(all P<0.05), and the difference in diagnostic sensitivity compared with leakage rate was not statistically significant(all P>0.05).CONCLUSION: 18 MHz color Doppler ultrasonography has some value in identifying epiretinal membrane lesions and is consistent with OCT testing.

The chemical constituents in dried roots of Atractylodes macrocephala were investigated in this study. Through utilizing normal-phase silica gel and ODS column chromatography, TLC, and semi-preparative HPLC, 4 new sesquiterpenoids were purified from the ethyl acetate extract of A. macrocephala. By various spectroscopic techniques, such as 1D and 2D NMR, HR-ESI-MS, IR, UV, and CD, their structures were identified as atractylmacron A (1), 9β-hydroxyasterolide (2), atractylenolide H (3), atractylenolide J (4). Compound 1 possesses a rare 6/7 bicyclic skeleton.

Disorders of consciousness (DOC) are pathological conditions characterized by severely suppressed brain function and the persistent interruption or loss of consciousness. Accurate diagnosis and evaluation of DOC are prerequisites for precise treatment. Traditional assessment methods are primarily based on behavioral scales, which are inherently subjective and rely on observable behaviors. Moreover, traditional methods have a high misdiagnosis rate, particularly in distinguishing minimally conscious state (MCS) from vegetative state/unresponsive wakefulness syndrome (VS/UWS). This diagnostic uncertainty has driven the exploration of objective, reliable, and efficient assessment tools. Among these tools, electroencephalography (EEG) has garnered significant attention for its non-invasive nature, portability, and ability to capture real-time neurodynamics. This paper systematically reviews the application of EEG biomarkers in DOC assessment. These biomarkers are categorized into 3 main types: resting-state EEG features, task-related EEG features, and features derived from transcranial magnetic stimulation-EEG (TMS-EEG). Resting-state EEG biomarkers include features based on spectrum, microstates, nonlinear dynamics, and brain network metrics. These biomarkers provide baseline representations of brain activity in DOC patients. Studies have shown their ability to distinguish different levels of consciousness and predict clinical outcomes. However, because they are not task-specific, they are challenging to directly associate with specific brain functions or cognitive processes. Strengthening the correlation between resting-state EEG features and consciousness-related networks could offer more direct evidence for the pathophysiological mechanisms of DOC. Task-related EEG features include event-related potentials, event-related spectral modulations, and phase-related features. These features reveal the brain’s responses to external stimuli and provide dynamic information about residual cognitive functions, reflecting neurophysiological changes associated with specific cognitive, sensory, or behavioral tasks. Although these biomarkers demonstrate substantial value, their effectiveness rely on patient cooperation and task design. Developing experimental paradigms that are more effective at eliciting specific EEG features or creating composite paradigms capable of simultaneously inducing multiple features may more effectively capture the brain activity characteristics of DOC patients, thereby supporting clinical applications. TMS-EEG is a technique for probing the neurodynamics within thalamocortical networks without involving sensory, motor, or cognitive functions. Parameters such as the perturbational complexity index (PCI) have been proposed as reliable indicators of consciousness, providing objective quantification of cortical dynamics. However, despite its high sensitivity and objectivity compared to traditional EEG methods, TMS-EEG is constrained by physiological artifacts, operational complexity, and variability in stimulation parameters and targets across individuals. Future research should aim to standardize experimental protocols, optimize stimulation parameters, and develop automated analysis techniques to improve the feasibility of TMS-EEG in clinical applications. Our analysis suggests that no single EEG biomarker currently achieves an ideal balance between accuracy, robustness, and generalizability. Progress is constrained by inconsistencies in analysis methods, parameter settings, and experimental conditions. Additionally, the heterogeneity of DOC etiologies and dynamic changes in brain function add to the complexity of assessment. Future research should focus on the standardization of EEG biomarker research, integrating features from resting-state, task-related, and TMS-EEG paradigms to construct multimodal diagnostic models that enhance evaluation efficiency and accuracy. Multimodal data integration (e.g., combining EEG with functional near-infrared spectroscopy) and advancements in source localization algorithms can further improve the spatial precision of biomarkers. Leveraging machine learning and artificial intelligence technologies to develop intelligent diagnostic tools will accelerate the clinical adoption of EEG biomarkers in DOC diagnosis and prognosis, allowing for more precise evaluations of consciousness states and personalized treatment strategies.

ObjectiveTo investigate the antiviral effect of Menispermi Rhizoma total alkaloids and its relationship with the type Ⅰ interferon （IFN-Ⅰ） signaling pathway. MethodThe effects of Menispermi Rhizoma total alkaloids on the intracellular replication of influenza A virus （H1N1）， vesicular stomatitis virus （VSV）， and cerebral myocarditis virus （EMCV） were detected by fluorescent inverted microscope， flow cytometry， Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）， and Western blot. A mouse model infected with H1N1 was constructed， and the mice were divided into a control group， H1N1 model group， Menispermi Rhizoma total alkaloids groups （10， 20， 30 mg·kg^-1）， and oseltamivir group （40 mg·kg^-1）， so as to study the effects on the weight and survival rate of infected mice. Real-time PCR was used to detect the activation effect of Menispermi Rhizoma total alkaloids on the IFN-Ⅰ pathway in cells， and the relationship between the antiviral effect of Menispermi Rhizoma total alkaloids in IFNAR1 knockout A549 cells （IFNAR1^-/--A549） and IFN-Ⅰ pathway was detected. ResultCompared with the control group， the virus proliferated significantly in the model group （P<0.01）. Compared with the model group， Menispermi Rhizoma total alkaloids could significantly inhibit the replication of H1N1， VSV， and EMCV in vitro （P<0.01）， inhibit the weight loss of the mice infected with the H1N1 in vivo， and improve the survival rate of mice （P<0.05）. In addition， Menispermi Rhizoma total alkaloids activated the IFN-I pathway and relied on this pathway to exert the function of antiviral infection. ConclusionMenispermi Rhizoma total alkaloids exert antiviral effects in vivo and in vitro by activating the IFN-Ⅰ pathway.

Based on FangNet platform,the data of the prescriptions for the effective cases of post-stroke sequelae treated by national renowned Chinese medical practitioner LIU Mao-Cai were collected for the analysis of medication frequency of the prescribed drugs as well as their properties,flavors and meridian tropism.The medication rules of LIU Mao-Cai for treating post-stroke sequelae was summarized by analyzing the weight scale,co-occurrence and mutual exclusivity of the prescribed drugs and by drug-symptom association rule analysis and drug clustering analysis.The results showed that a total of 105 prescriptions involving 95 Chinese medicines were obtained.The drugs in the prescriptions were mainly warm in nature,sweet in flavor and had the meridian tropism of liver meridian.There were 17 driver herbs,and they were Astragali Radix,Gastrodiae Rhizoma,Corni Fructus,Codonopsis Radix,Eucommiae Cortex,Achyranthis Bidentatae Radix,Chuanxiong Rhizoma,Polygalae Radix,Curcumae Longae Rhizoma,Acori Tatarinowii Rhizoma,Ophiopogonis Radix,Atractylodis Macrocephalae Rhizoma,Salviae Miltiorrhizae Radix et Rhizoma,Poria,Uncariae Ramulus cum Uncis,Pinelliae Rhizoma Praeparatum,and Ligustri Lucidi Fructus.The results of drug co-occurrence analysis yielded 12 drug pairs such as Achyranthis Bidentatae Radix-Eucommiae Cortex,drug-symptom association rule analysis yielded 9 groups of drug-symptom association combinations such as Gastrodiae Rhizoma-dizziness,and cluster analysis yielded 4 drug combinations.The results indicated that the drugs for post-stroke sequelae treated by LIU Mao-Cai are mild in nature and mainly have the actions of supporting healthy-qi and replenishing the deficient,and Astragali Radix and Codonopsis Radix are often used to replenish the vital energy,and Corni Fructus,Achyranthis Bidentatae Radix and Eucommiae Cortex are usually used to tonify the liver and kidney.Moreover,simultaneous treatment of phlegm and blood stasis,and simultaneous application of purging and nourishing therapeutics are also stressed.

This study aimed to identify the related substances of phloroglucinol injection by two-dimensional liquid chromatography quadrupole time-of-flight mass spectrometry (2D-LC-Q-TOF/MS). The first-dimensional separation was carried out on an HSS T3 (250 mm × 4.6 mm, 5 μm) column by gradient elution using 1.36 g·L^-1 potassium dihydrogen phosphate buffer solution (pH adjusted to 3.0 with diluted phosphoric acid) and acetonitrile as the mobile phases. The separated components were then trapped in switch valve tube lines respectively and delivered to the second-dimensional desalting gradient elution which was performed with a BDS C18 (100 mm × 4.6 mm, 2.4 μm) column using 0.1% formic acid and methanol as the mobile phases. After rapid desalting, electrospray-ionization quadrupole time-of-flight high resolution mass spectrometry was used for determining the accurate masses and elemental compositions of the parents and their product ions for both phloroglucinol and its related substance. Structures of the related substances were then figured out by mass spectrometry elucidation, organic reaction mechanism analysis, and/or comparison with reference substances. Under the established analytical conditions, phloroglucinol and its related substances were adequately separated, 17 main related substances were detected and identified in the injection and its stressed samples for the first time. The identification results can provide reference for the quality control of phloroglucinol injection.

Influenza virus causes serious threat to human life and health. Due to the inherent high variability of influenza virus, clinically resistant mutant strains of currently approved anti-influenza virus drugs have emerged. Therefore, it is urgent to develop antiviral drugs with new targets or mechanisms of action. RNA-dependent RNA polymerase is directly responsible for viral RNA transcription and replication, and plays key roles in the viral life cycle, which is considered an important target of anti-influenza drug design. From the point of view of medicinal chemistry, this review summarizes current advances in diverse small-molecule inhibitors targeting influenza virus RNA-dependent RNA polymerase, hoping to provide valuable reference for development of novel antiviral drugs.

OBJECTIVE To explore the effectiveness, potential mechanism and compatibility characteristics of efficacy groups of Dunhuang medical prescription Daxiefei decoction in preventing and treating pneumonia based on chemical bioinformatics method. METHODS To study the effect of Daxiefei decoction freeze-dried powder solution on the proliferation activity of lung epithelial cells through cell experiments. Daxiefei decoction was divided into three groups: clearing away heat group, resolving phlegm group, and nourishing Yin group according to its efficacy characteristics. The chemical components of Daxiefei decoction were obtained by TCMSP database and literature search, and the targets were predicted in Swiss Target Prediction database. Pneumonia disease targets were obtained by DrugBank, TTD, Genecards and DisGeNET databases. STRING database and Cytoscape were used to construct the intersection target interaction network and "drug-component-target- pathway" network and DAVID database was used for KEGG pathway enrichment analysis. The network was used to analyze the scientific connotation of the compatibility of efficacy groups. Furthermore, molecular docking was used to evaluate the target-compound affinity and molecular dynamics was used to explore the dynamic molecular mechanism. RESULTS Cell experiments showed that Daxiefei decoction can maintain the proliferation of lung epithelial cells, reverse the decrease of mitochondrial activity induced by LPS and reduce apoptosis. Complex network analysis showed that the pathways enriched by the three functional groups contained in Daxiefei decoction were mainly distributed in two modules: inflammation regulation and reducing airway mucus hypersecretion. Each module was connected by a common target gene and had its own focus. The results of molecular docking showed that the components quercetin, baicalein, isorhamnetin etc. might be the effective multi-target components of Daxiefei decoction. SRC, EGFR, PPARA etc. had good affinity with each potential active component, which might be a potential target of Daxiefei decoction for preventing and treating pneumonia. Molecular dynamics simulation showed that the potential active component quercetin formed stable intermolecular interactions with SRC. CONCLUSION This study initially reveal the material basis and molecular mechanism of Daxiefei decoction in the prevention and treatment of pneumonia. It also explores the scientific connotation of Daxiefei decoction in the prevention and treatment of pneumonia with different efficacy groups, and its modern development and clinical application provide chemical bioinformatics basis.

Objective:To develop a robotic digestive endoscope system (RDES) and to evaluate its feasibility, safety and control performance by experiments.Methods:The RDES was designed based on the master-slave control system, which consisted of 3 parts: the integrated endoscope, including a knob and button robotic control system integrated with a gastroscope; the robotic mechanical arm system, including the base and arm, as well as the endoscopic advance-retreat control device (force-feedback function was designed) and the endoscopic axial rotation control device; the control console, including a master manipulator and an image monitor. The operator sit far away from the endoscope and controlled the master manipulator to bend the end of the endoscope and to control advance, retract and rotation of the endoscope. The air supply, water supply, suction, figure fixing and motion scaling switching was realized by pressing buttons on the master manipulator. In the endoscopy experiments performed on live pigs, 5 physicians each were in the beginner and advanced groups. Each operator operated RDES and traditional endoscope (2 weeks interval) to perform porcine gastroscopy 6 times, comparing the examination time. In the experiment of endoscopic circle drawing on the inner wall of the simulated stomach model, each operator in the two groups operated RDES 1∶1 motion scaling, 5∶1 motion scaling and ordinary endoscope to complete endoscopic circle drawing 6 times, comparing the completion time, accuracy (i.e. trajectory deviation) and workload.Results:RDES was operated normally with good force feedback function. All porcine in vivo gastroscopies were successful, without mucosal injury, bleeding or perforation. In beginner and advanced groups, the examination time of both RDES and ordinary endoscopy tended to decrease as the number of operations increased, but the decrease in time was greater for operating RDES than for operating ordinary endoscope (beginner group P=0.033; advanced group P=0.023). In the beginner group, the operators operating RDES with 1∶1 motion scaling or 5∶1 motion scaling to complete endoscopic circle drawing had shorter completion time [1.68 (1.40, 2.17) min, 1.73 (1.47, 2.37) min VS 4.13 (2.27, 5.16) min, H=32.506, P<0.001], better trajectory deviation (0.50±0.11 mm, 0.46±0.11 mm VS 0.82±0.26 mm, F=38.999, P<0.001], and less workload [42.00 (30.00, 50.33) points, 43.33 (35.33, 54.00) points VS 52.67 (48.67, 63.33) points, H=20.056, P<0.001] than operating ordinary endoscope. In the advanced group, the operators operating RDES with 1∶1 or 5∶1 motion scaling to complete endoscopic circle drawing had longer completion time than operating ordinary endoscope [1.72 (1.37, 2.53) min, 1.57 (1.25, 2.58) min VS 1.15 (0.86, 1.58) min, H=13.233, P=0.001], but trajectory deviation [0.47 (0.13, 0.57) mm, 0.44 (0.39, 0.58) mm VS 0.52 (0.42, 0.59) mm, H=3.202, P=0.202] and workload (44.62±21.77 points, 41.24±12.57 points VS 44.71±17.92 points, F=0.369, P=0.693) were not different from those of the ordinary endoscope. Conclusion:The RDES enables remote control, greatly reducing the endoscopists' workload. Additionally, it gives full play to the cooperative motion function of the large and small endoscopic knobs, making the control more flexible. Finally, it increases motion scaling switching function to make the control of endoscope more flexible and more accurate. It is also easy for beginners to learn and master, and can shorten the training period. So it can provide the possibility of remote endoscopic control and fully automated robotic endoscope.

OBJECTIVE To provide reference for improving the disease diagnosis related groups （DRG） payment reform， promoting refined hospital operation and management and rational drug use. METHODS Taking the orthopedic department of our hospital （the Third Affiliated Hospital of Anhui Medical University） as the research object， based on evidence-based medicine， a medication clinical pathway （hereinafter referred to as medication pathway） for DRG diseases in this department was constructed and implemented. All patients who met the DRG disease were included in the medication path management， and the patients in the same DRG disease group were treated with the same treatment method. Segmented regression model （SRM） was adopted to analyze the effects of medication pathway on the medical service capacity， efficiency and quality of our hospital. RESULTS During the implementation of medication pathway， significant decreases were observed in average length of hospital stay， cost per hospitalization， the proportion of medication expenses， medication cost per hospitalization and defined daily dose； the proportion of medical service revenue and the qualified rate of medical orders significantly increased （P＜0.05）. After the implementation of medication pathway， the average length of hospital stay and defined daily dose continued to decrease， and the qualified rate of medical orders also continued to significantly increase （P＜0.05）. CONCLUSIONS The implementation of medication pathway enhances the quality of medical services， improves operational efficiency， reduces medical expenses， and contributes to the development of a refined hospital management system.