AIM: To identify the primary active components and underlying mechanisms of Yijing Decoction(YJD)in treating early diabetic retinopathy(DR)based on liquid chromatography-mass spectrometry and network pharmacology.METHODS: Active components of YJD were characterized through LC-MS. Components with optimal ADME(absorption, distribution, metabolism, excretion)properties were selected as key bioactive candidates. Network pharmacology approaches were employed to predict YJD-DR therapeutic targets. Protein-protein interaction(PPI)networks, gene ontology(GO)enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis were subsequently conducted to predict core targets and networks. Critical targets and pathways were experimentally validated through Western blot.RESULTS: Ten core therapeutic targets were identified, including TNF, Alb, EGFR, STAT3, PTGS2, ESR1, PPAR, MMP9, TLR4, and MAPK. YJD was related to cancer-related signaling, fluid shear stress and atherosclerosis, and neurodegenerative diseases, encompassing key biological processes such as inflammatory response regulation, programmed cell death activation, and enhanced cell migration. Furthermore, Western blot analysis confirmed that YJD significantly inhibited high glucose-induced phosphorylation of STAT3(P-STAT3/STAT3)and ERK(P-ERK/ERK)in rat retinal microvascular endothelial cells.CONCLUSION: This study revealed YJD's pharmacodynamical basis and its multi-component, multi-target, and multi-paths pharmacology. YJD exerts therapeutic effects on DR by coordinately regulating critical signaling pathways and alleviating intraocular inflammation, thus preserving retinal vascular endothelial cells, maintaining blood-retinal barrier integrity, and facilitating retinal neurovascular repair.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

AIM: To evaluate the performance of three distinct large language models(LLM), including GPT-3.5, GPT-4, and PaLM2, in responding to queries within the field of ophthalmology, and to compare their performance with three different levels of medical professionals: medical undergraduates, master of medicine, and attending physicians.METHODS: A total of 100 ophthalmic multiple-choice tests, which covered ophthalmic basic knowledge, clinical knowledge, ophthalmic examination and diagnostic methods, and treatment for ocular disease, were conducted on three different kinds of LLM and three different levels of medical professionals(9 undergraduates, 6 postgraduates and 3 attending physicians), respectively. The performance of LLM was comprehensively evaluated from the aspects of mean scores, consistency and confidence of response, and it was compared with human.RESULTS: Notably, each LLM surpassed the average performance of undergraduate medical students(GPT-4:56, GPT-3.5:42, PaLM2:47, undergraduate students:40). Specifically, performance of GPT-3.5 and PaLM2 was slightly lower than those of master's students(51), while GPT-4 exhibited a performance comparable to attending physicians(62). Furthermore, GPT-4 showed significantly higher response consistency and self-confidence compared with GPT-3.5 and PaLM2.CONCLUSION: LLM represented by GPT-4 performs well in the field of ophthalmology, and the LLM model can provide clinical decision-making and teaching aids for clinicians and medical education.

italic>Anoectochilus roxburghii liquid (spray, a hospital preparation of Wu Mengchao Hepatobiliary Hospital of Fujian Medical University) has shown a good clinical treatment effect during the COVID-19 pandemic, but its material basis and mechanism of action are still unclear. In this study, network pharmacology and molecular docking methods were used to predict the molecular mechanism of A. roxburghii liquid against COVID-19, and pharmacodynamic experiments in vitro were conducted to study the interaction between the current targets with clear preventive and therapeutic effects and the key components of A. roxburghii liquid. UPLC-MS and database were used to compare and analyze the active ingredients in the liquid, and 17 potential active ingredients with good drug-like properties were screened by in vivo pharmacokinetics process in SwissADME database. SwissTargetPrediction and GeneCards were searched to find 93 common targets. Cytoscape 3.8.2 software was used to construct the "component-target" network map, and the Metascape platform was used for gene function annotation and pathway enrichment analysis. It was found that the extract could regulate the positive response to external stimuli, inflammatory response, cytokine production and other biological processes by binding the active ingredients such as isorhamnetin, kaempferol, luteolin, quercetin and apigenin to the common targets (NOS3, MPO, MMP3, etc.), and play an anti-COVID-19 role. In the angiotensin-converting enzyme 2 (ACE2) activity inhibition assay, it was found that the stock solution of A. roxburghii liquid (for spray), and the supernatant after removing polysaccharides (mainly containing flavonoids) could to some extent inhibit the activity of ACE2. Crucially, in the experiment of 2019-nCOV-S pseudovirus infecting HEK-293T-ACE2 cells, we found that A. roxburghii liquid may exert anti-COVID-19 effects by blocking the binding of SARS-CoV-S protein to ACE2.

This study constructed a LHCGR-CRE-luc-HEK293 transgenic cell line according to the activation of the cAMP signaling pathway after recombinant human chorionic gonadotropin binding to the receptor. The biological activity of recombinant human chorionic gonadotropin was assayed using a luciferase assay system. The relative potency of the samples was calculated using four-parameter model. And the method conditions were optimized to validate the specificity, relative accuracy, precision and linearity of the method. The results showed that there was a quantitative potency relationship of human chorinonic gonadotropin (hCG) in the method and it was in accordance with the four-parameter curve. After optimization, the conditions were determined as hCG dilution concentration of 2.5 μg·mL^-1, dilution ratio of 1∶4, cell number of 10 000-15 000 cells/well, and induction time of 6 h. The method had good specificity, relative accuracy with relative bias ranging from -8.9% to 3.4%, linear regression equation correlation coefficient of 0.996, intermediate precision geometric coefficient of variation ranging from 3.3% to 15.0%, and linearity range of 50% to 200%. This study successfully established and validated a reporter gene method to detect hCG biological activity, which can be used for hCG biological activity assay and quality control.

The heat shock protein 90 (Hsp90) protein family is a cluster of highly conserved molecules that play an important role in maintaining cellular homeostasis. Hsp90 and its co-chaperones regulate a variety of pathways and cellular functions, such as cell growth, cell cycle control and apoptosis. Hsp90 is closely associated with the occurrence and development of tumors and other diseases, making it an attractive target for cancer therapeutics. Inhibition of Hsp90 expression can affect multiple oncogenic pathways simultaneously. Most Hsp90 small molecule inhibitors are in clinical trials due to their low efficacy, toxicity or drug resistance, but they have obvious synergistic anti-tumor effect when used with histone deacetylase (HDAC) inhibitors, tubulin inhibitors or topoisomerase II (Topo II) inhibitors. To address this issue, the design of Hsp90 dual-target inhibitors can improve efficacy and reduce drug resistance, making it an effective tumor treatment strategy. In this paper, the domain and biological function of Hsp90 are briefly introduced, and the design, discovery and structure-activity relationship of Hsp90 dual inhibitors are discussed, in order to provide reference for the discovery of novel Hsp90 dual inhibitors and clinical drug research from the perspective of medicinal chemistry.

Objective To investigate the association between microvariants at locus DYS570 and Y-SNPs haplogroup.Methods 89 Y-SNPs and 34 Y-STRs in AIYSNP42,AIYSNP47 and YfilerTM Platinum kits were used to detect the genotype of 116 microvariants at locus DYS570 in Kunming,and the Set-B kit was used to detect the core repeat sequences of the DYS570 locus.The data were statistically analyzed by direct counting method.Then,a network map was drawn by Network 10.2,in order to visualize the genetic information of the sample.Results The results demonstrated that 111 DYS570/18.3-21.3 samples had a core repeat sequence of TTT[TITC]18-21,belonging to subgroup O2a2b1a1a1a4-F14494.A DYS570/20.3 sample had a core repeat sequence of[TTTC]15TTC[TTTC]5,belonging to O2a1b1a1a1a1e-F1365 subgroup.A DYS570/17.1 sample had a core repeat sequence of[TTTC]17 T,belonging to the O2a1b1a1a1a-F11 subgroup.Three DYS570(19.2)samples had[TTTC]3 TT[TTTC]16,belonging to the D1a1a-M15 haplogroup.Conclusion The results indicated that the microvariant with the same core repeat structure at locus DYS570 was associated with haplogroups,and the ancestry origin of samples can be inferenced from microvariant characteristics during the practice of forensic medicine.

Objective:To investigate the relationship between intracerebral high-density foci and progressive stroke (PS) morbidity by using dual-energy CT, which can quantify the intracerebral high-density foci of patients with acute ischemic stroke after endovascular treatment.Methods:Ninety-two patients with acute ischemic stroke who received interventional treatment in Gaozhou People′s Hospital from May 2019 to August 2020, and underwent dual-energy CT scan immediately after intervention, were analyzed. The patients were divided into PS group ( n=35) and non-PS group ( n=57) according to the National Institutes of Health Stroke Scale (NIHSS) score, and the patients whose NIHSS score increased≥4 points within 72 hours of stroke were included in the PS group, while the patients whose NIHSS score increased<4 points were included in the non-PS group. The clinical data, volume of high-density foci and CT values were compared between the 2 groups. Logistic regression analysis was used to adjust for confounding factors and screen for risk factors. The correlations of the admission NIHSS score, presence and volume of high-density lesions, maximum CT (CTmax) value and average CT (CTave) value with the onset of PS were analyzed, and the receiver operating characteristic curve was used to screen predictive indicators of PS. Results:In the PS group, the NIHSS score (18.80±8.50 vs 14.40±9.58, t=2.229, P=0.028), proportion of high-density foci [29/35(82.9%) vs 32/57 (56.1%), χ 2=6.928, P=0.008], high-density focal volume [13.23 (39.33) cm 3vs 0.76 (9.82) cm 3, U=1 440.000, P<0.001], CTmax value [80.00 (92.00) HU vs 65.00 (87.50) HU, U=1 337.000, P=0.005] and CTave value [53.48 (23.79) HU vs 45.94 (55.11) HU, U=1 345.000, P=0.004] were higher than those in the non-PS group. The NIHSS score ( OR=1.054, 95% CI 1.004-1.106, P=0.033; rs=0.255, 95% CI 0.051-0.447, P=0.014), presence of high-density foci ( OR=3.776, 95% CI 1.358-10.503, P=0.011; rs=0.274, 95% CI 0.093-0.460, P=0.008), high-density focal volume ( OR=1.026, 95% CI 1.003-1.049, P=0.027; rs=0.381, 95% CI 0.183-0.560, P<0.001), CTmax value ( OR=1.006, 95% CI 1.001-1.011, P=0.014; rs=0.292, 95% CI 0.088-0.475, P=0.005) and CTave value ( OR=1.021, 95% CI 1.007-1.035, P=0.004; rs=0.299, 95% CI 0.092-0.484, P=0.004) were all risk factors affecting PS morbidity and were positively correlated with PS morbidity. The area under the receiver operating characteristic curve of NIHSS score, high-density lesion volume, CTmax value, and CTave value to predict the onset of PS was 0.652, 0.722, 0.670 and 0.674, respectively. The volume of high-density lesions had moderate predictive value for the onset of PS. Conclusions:For AIS patients, CT examination should be performed immediately after interventional operation. The volume, CTmax value and CTave value of high-density lesions newly appeared in the ischemic area are positively correlated with the onset of PS. Quantifying the volume of high-density lesions can help to predict the onset of PS.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

Objective:To explore the application of a scenario-based onsite first-aid skills station in objective structured clinical examination (OSCE).Methods:Based on common scenarios and cases in medical practice, an evaluation framework of the OSCE onsite first-aid skills station—containing assessment indicators, exam room setting, examiner training, and assessment process—was designed to evaluate the onsite first-aid competencies of medical graduates of the five-year program for three consecutive years. SPSS 24.0 was used to perform the Kruskal-Wallis test and Pearson correlation analysis to calculate the correlation between course examination scores and OSCE onsite first-aid skills station assessment scores. Excel was used to calculate the difficulty index and discrimination index of test items.Results:The graduates' OSCE onsite first-aid skills station assessment scores were improved year by year, with a mean score of about 80 points. The station assessment items showed a moderate difficulty level (0.7-0.8), a good discrimination level (>0.4), and good internal consistency (Cronbach's α>0.7). The examiners and examinees had a high recognition of the design and effectiveness of this station assessment method. There was a positive correlation between the OSCE scores and corresponding course scores (2016, r=0.245, P=0.001; 2017, r=0.108, P=0.026; 2018, r=0.198, P=0.006). Conclusions:Through scientific scoring and strict examination management, the OSCE scenario-based onsite first-aid skills station can effectively evaluate examinees' injury treatment competencies in different situations, which can provide a reference for course teaching.