ObjectiveHepatocyte nuclear factor 4-alpha (HNF4A) is a critical transcription factor in the liver and pancreas. Dysfunctions of HNF4A lead to maturity onset diabetes of the young 1 (MODY1). Notably, MODY1 patients with HNF4A pathogenic mutations exhibit decreased responses to arginine and reduced plasma triglyceride levels, but the mechanisms remain unclear. This study aims to investigate the potential target genes transcriptionally regulated by HNF4A and explore its role in these metabolic pathways. MethodsA stable 293T cell line expressing the HNF1A reporter was overexpressed with HNF4A. RNA sequencing (RNA-seq) was performed to analyze transcriptional differences. Transcription factor binding site prediction was then conducted to identify HNF4A binding motifs in the promoter regions of relevant target genes. ResultsRNA-seq results revealed a significant upregulation of transmembrane 4 L six family member 5 (TM4SF5) mRNA in HNF4A-overexpressing cells. Transcription factor binding predictions suggested the presence of five potential HNF4A binding motifs in the TM4SF5 promoter. Finally, we confirmed that the DR1 site in the -57 to -48 region of the TM4SF5 promoter is the key binding motif for HNF4A. ConclusionThis study identified TM4SF5 as a target gene of HNF4A and determined the key binding motif involved in its regulation. Given the role of TM4SF5 as an arginine sensor in mTOR signaling activation and triglyceride secretion, which closely aligns with phenotypes observed in MODY1 patients, our findings provide novel insights into the possible mechanisms by which HNF4A regulates triglyceride secretion in the liver and arginine-stimulated insulin secretion in the pancreas.

Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

In view of the few studies on the influence of Armillaria spp. infection on the content of the chemical components in different parts of Polyporus umbellatus sclerotia, this study determined the biomass of P. umbellatus sclerotia and the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in the separated cavity wall of the sclerotia and the uninfected part of the sclerotia in different harvesting years under the conditions of A. gallica and A. mellea infection respectively. According to the difference of content and dynamic changes of the polysaccharide and the steroid substances, the superior Armillaria sp. was screened to obtain the best harvest years of P. umbellatus. Using HPLC and UV-VIS spectrophotometry methods, the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in P. umbellatus sclerotia infected by the two Armillaria spp. in different years were determined. In addition, the differentially expressed genes related to P. umbellatus polysaccharide synthesis were screened according to the transcriptomic data of different parts of P. umbellatus after A. mellea infection. With the increase of years, the biomass of sclerotia infected by different Armillaria spp. had significant differences, and there were significant differences in the four components of sclerotia. The four components of the separated cavity wall of the sclerotia were significantly higher than those of the uninfected part. The best harvest time was the third year after cultivation. Transcriptomic analysis showed that the infection of Armillaria spp. could significantly promote polysaccharide synthesis, which provided a basis for polysaccharide content determination at the molecular level. The study clarified the influence of different Armillaria spp. infection on the accumulation of chemical components of P. umbellatus sclerotia, laying a foundation for exploring the symbiosis mechanism and provided a scientific clue for screening superior Armillaria sp. and guiding the artificial cultivation of P. umbellatus sclerotia.

In recent years, the deep integration of artificial intelligence (AI) into medical education has created new opportunities for teaching Biochemistry and Molecular Biology, while also offering innovative solutions to the pedagogical challenges associated with protein structure and function. Focusing on the case of anaplastic lymphoma kinase (ALK) gene mutations in non-small-cell lung cancer (NSCLC), this study integrates AI into case-based learning (CBL) to develop an AI-CBL hybrid teaching model. This model features an intelligent case-generation system that dynamically constructs ALK mutation scenarios using real-world clinical data, closely linking molecular biology concepts with clinical applications. It incorporates AI-powered protein structure prediction tools to accurately visualize the three-dimensional structures of both wild-type and mutant ALK proteins, dynamically simulating functional abnormalities resulting from conformational changes. Additionally, a virtual simulation platform replicates the ALK gene detection workflow, bridging theoretical knowledge with practical skills. As a result, a multidimensional teaching system is established—driven by clinical cases and integrating molecular structural analysis with experimental validation. Teaching outcomes indicate that the three-dimensional visualization, dynamic interactivity, and intelligent analytical capabilities provided by AI significantly enhance students’ understanding of molecular mechanisms, classroom engagement, and capacity for innovative research. This model establishes a coherent training pathway linking “fundamental theory-scientific research thinking-clinical practice”, offering an effective approach to addressing teaching challenges and advancing the intelligent transformation of medical education.

Teaching clinics represent a unique form of outpatient training of resident physicians and serve as a crucial instrument and core component of standardized training of general practice residents. This article reviews the common model and innovations of teaching clinics of general practice in China, and analyzes their reported effectiveness in enhancing the capabilities of consultation of resident physicians, the teaching capabilities of general practice trainers, as well as satisfaction levels of involved participants. It outlines the challenges encountered in implementing teaching clinics, including inadequate teaching facilities and equipment, incomplete incentive system for teaching, difficulties in patient recruitment, and weaknesses in the teaching capabilities of trainers. To address these challenges, this article proposes corresponding strategies based on realistic needs, including the improvement of facilities and equipment in teaching clinics, the establishment of incentive systems for teaching clinics, the expansion of patient recruitment channels for teaching clinics, and the enhancement of training for trainers' teaching capabilities. This is envisaged to provide both theoretical bases and practical guidance for the effective execution and standardized development of teaching clinics in general practice residency training bases.

Objective:To analyze the safety and efficacy of ultrasound-guided percutaneous thermal ablation treatment for multiple T1N0M0 papillary thyroid carcinoma(PTC)with over 5 years follow-up.Methods:From January 2014 to January 2019,a retrospective analysis was conducted on patients with multiple T1N0M0 PTC who underwent ultrasound-guided thermal ablation.Patients with bilateral or unilateral lobes with isthmus PTC were enrolled in this study and were followed up at 1,3,6,12,24,36,48,and 60 months after ablation.The clinical data,ultrasound characteristics and ablation parameters of recurrent and non-recurrent patients were compared,and the efficacy and influencing factors of thermal ablation for multiple T1N0M0 PTC were analyzed.Results:After over 5 years follow-up,a total of 11 patients(16.18％)relapsed,57 patients(83.82％)did not re-lapse.No lymph node and distant metastasis were found.No significant correlation was detected between the recurrence and clinical features,ultrasound findings and ablation parameters(P＞0.05).Among the patients with recurrence,1 patient underwent observation,2 patients underwent total thyroidectomy,and the other 8 patients successfully underwent secondary ablation,all of which had no obvious adverse reactions.Conclusion:The ablation of multiple PTC in T1N0M0 stage is safe and effective,with a recurrence rate of 16.18％over 5 years follow-up,and ablation has no effect on second treatment for recurrent patients.

Objective To investigate the effect and mechanism of andrographolide(AG)on lipopolysaccharide(LPS)-induced ferroptosis in renal tubular epithelial cells(HK-2 cells).Methods HK-2 cells were treated with LPS to simulate the in vitro HK-2 injury model of sepsis.The cells were further treated with AG of 5,10,20,40 μmol/L and randomly divided into control group,LPS group,LPS+dimethyl sulfoxide group(DMSO group),and AG group.Cell viability was detected by the CCK-8 method,and the optimal concentrations of LPS and AG were screened.Cell morphological change,the levels of kidney injury markers,including neutrophil gelatinase-associated lipocalin(NGAL),kidney injury molecule-1(KIM-1),malondialdehyde(MDA),glutathione(GSH)and reactive oxygen species(ROS),as well as the expression levels of ferroptosis regulatory proteins such as solute carrier family 7 member 11(SLC7A11),glutathione peroxidase 4(GPX4)and ferritin in each group were compared,and the pro-tective effect of AG treatment on the cells was evaluated.Results Compared with the control group,the cell viabi-lity and GSH content decreased significantly in HK-2 cells treated with 10 μg/mL LPS;cell shrinkage and adhesion ability were poor;the contents of oxidative products MDA and ROS,as well as the levels of kidney injury markers NGAL and KIM-1 increased significantly,while expression levels of SLC7A11 and GPX4 protein decreased;ferritin expression level increased;differences were all statistically significant(all P＜0.05).Compared with LPS group,the cell viability,GSH content,as well as protein expression levels of SLC7A11 and GPX4 increased significantly after AG intervention,while ferritin expression level decreased,differences were all significant(all P＜0.05).MDA content,ROS fluorescence intensity,and the levels of kidney injury markers NGAL and KIM-1 decreased sig-nificantly,difference were all significant(all P＜0.05).Conclusion AG has a protective effect on LPS-induced HK-2 cell injury,possibly by activating SLC7A11/GPX4 pathway,reducing oxidative stress,up-regulating antioxi-dant enzyme activity,and alleviating ferroptosis.

Objective To investigate the current status of cleaning and disinfection of endoscopic ultrasound micro-probes in tertiary hospitals in Beijing.Methods 51 tertiary hospitals in Beijing were selected with convenience sam-pling method,and a questionnaire survey was conducted on head nurses in endoscopy centers,the investigation in-cluded pre-treatment,cleaning,disinfection,sterilization,biological testing,disinfection traceability,storage and maintenance of endoscopic ultrasound microprobes.Results Among the 51 tertiary hospitals,33 were first-class hospitals and 18 were second-class hospitals.76.47％(n=39)of hospitals performed bed-side pre-cleaning on ultrasound microprobes after use,bed-side pre-treatment methods for endoscopic ultrasound microprobes mainly included enzyme solution wiping(38.47％,15/39)and ethanol wiping(30.77％,12/39);96.08％(n=49)of hospitals performed manual cleaning for ultrasound microprobes,with"enzyme wash-scrub-dry"as the main method(58.82％,n=30);96.08％(n=49)of hospitals disinfected microprobes after use,with chemical disinfectant im-mersion as the main methods(65.31％,n=32);43.14％(n=22)of hospitals sterilized the microprobes,and the main method of sterilization was immersion in 0.2％-0.35％peroxyacetic acid for 10-15 minutes(77.27％,17/22);41.18％(n=21)of hospitals regularly conducted biological monitoring on microprobes;37.25％(n=19)of hospitals traced the cleaning and disinfection process of microprobes;88.24％(n=45)of hospitals regularly inspec-ted,maintained,and repaired microprobes.Conclusion The pre-treatment,cleaning,disinfection,sterilization,and biological monitoring of endoscopic ultrasound microprobes in 51 tertiary hospitals in Beijing varies significantly,and it is recommended that a relevant expert consensus or guideline be formulated as early as possible,so as to standardize the cleaning and disinfection of endoscopic ultrasound microprobes.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To evaluate the performance of our self-developed deep learning (DL) model which was designed to automatically classify the knee X-ray images into one non-surgical category and 4 surgical categories, including non-surgical knees (NSK), high tibial osteotomy (HTO), total knee arthroplasty (TKA), unicompartmental knee arthroplasty (UKA), and tibial plateau fracture fixation with an internal fixation plate (TPFF).Methods:The knee X-ray images were collected of the patients who had undergone knee joint surgery at Department of Orthopaedics, Fuzhou Second General Hospital from January 2017 to December 2022. On the Baidu EasyDL AI platform, a multi-class object recognition DL model was built using the You Only Look Once (YOLO) algorithm. The model was trained on a dataset of 1,281 knee anteroposterior X-ray images (including NSK, HTO, TKA, UKA, and TPFF) to generate a DL model which was able to automatically recognize and classify the knee X-ray images. The reliability of the model classification performance was evaluated by analyzing the 5 indicators [accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV)] using a test set of 450 knee anteroposterior X-ray images with the above 5 categories. The receiver operating characteristic curve was plotted and the area under the curve (AUC) was calculated to further quantify the classification performance of the model.Results:In the test set, on the whole, the model achieved an accuracy of 97.0%, a sensitivity of 92.4%, a specificity of 98.1%, a PPV of 92.4%, and a NPV of 98.1%, an AUC of 0.947, indicating a high reliability in classifying various categories. The model showed a best performance for TKA, with the 5 indicators being 99.1%, 99.0%, 99.1%, 97.1% and 99.7%. The model showed a slightly lower sensitivity for TPFF and HTO (87.0% and 86.0%, respectively).Conclusion:A successful DL model has been developed which can automatically classify the knee X-ray images into non-surgical and surgical categories due to its satisfactory performance, particularly in accuracy and AUC.