Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.

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.

Objective To investigate the prevalence of common diseases among primary and secondary school students in Yichang City from 2019 to 2022, and to provide a scientific basis for formulating effective intervention measures in the future. Methods By random cluster sampling , 7 schools in urban areas and 5 schools in suburban counties were selected to screen common diseases such as myopia, dental caries, obesity and abnormal spinal curvature. Descriptive epidemiological methods were employed for statistical analysis. Results A total of 17 023 primary and secondary school students were screened from 2019 to 2022. The overall detection rate of common diseases from high to low was myopia (54.12%), caries (36.75%), overweight (15.17%), obesity (11.88%), malnutrition (5.80%), and abnormal spinal curvature (3.49%). The detection rates of myopia and abnormal curvature of the spine showed an increasing trend with years and school stages, while the detection rates of malnutrition and dental caries showed a decreasing trend with years and school stages. The detection rates of overweight and obesity showed no trend difference with years, and the detection rates of obesity showed a decreasing trend with school stages. The rates of myopia, overweight and obesity were higher in urban areas than those in suburban counties, and the rate of dental caries was higher in suburban counties than that in urban areas. The prevalence of overweight, obesity, and malnutrition in boys was higher than that in girls. The prevalence of myopia and dental caries in girls was higher than that in boys. The above differences were statistically significant (all P<0.05). Conclusion Myopia, dental caries, obesity, and abnormal curvature of the spine are the current focus of the prevention and treatment of common diseases in students. There are great differences between different regions, school stages, and genders. The ^“tripartite linkage^” of schools, families, and communities should be achieved with the joint efforts of the education and health departments to actively take targeted intervention measures to reduce the prevalence.

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.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

Objective To establish a rapid screening method for 34 emerging contaminants in surface water by ultra-high performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS).Methods The pretreatment conditions of solid phase extraction(SPE)were op-timized by orthogonal experimental design and the surface water samples were concentrated and ex-tracted by Oasis? HLB and Oasis? MCX SPE columns in series.The extracts were separated by Kine-tex? EVO C18 column,with gradient elution of 0.1%formic acid aqueous solution and 0.1%formic acid methanol solution.Q-TOF-MS'fullscan'and'targeted MS/MS'modes were used to detect 34 emerging contaminants and to establish a database with 34 emerging contaminants precursor ion,prod-uct ion and retention times.Results The 34 emerging contaminants exhibited good linearity in the con-centration range respectively and the correlation coefficients(r)were higher than 0.97.The limit of de-tection was 0.2-10 ng/L and the recoveries were 81.2%-119.2%.The intra-day precision was 0.78%-18.70%.The method was applied to analyze multiple surface water samples and 6 emerging contaminants were detected,with a concentration range of 1.93-157.71 ng/L.Conclusion The method is simple and rapid for screening various emerging contaminants at the trace level in surface water.

BACKGROUND:Neuronal autophagy disorder and abnormal protein aggregation are the main pathological changes of neurodegenerative diseases.The relationship and interaction between mesenchymal stem cells and autophagy represent a possible mechanism for the treatment of neurodegenerative diseases. OBJECTIVE:To review the research progress of autophagy and mesenchymal stem cells in the treatment of neurodegenerative diseases and their interaction in order to provide a theoretical basis and new ideas for the treatment of neurodegenerative diseases. METHODS:PubMed and CNKI databases were searched for relevant articles using"autophagy,neurodegenerative diseases,mesenchymal stem cells,Parkinson's disease,Alzheimer's disease"as the search terms in Chinese and English.Totally,59 articles were included for review. RESULTS AND CONCLUSION:(1)Autophagy homeostasis is beneficial for maintaining the stability of the internal and external environment of the central nervous system and for controlling the progression of neurodegenerative disease.(2)As a dynamic circulation mechanism to maintain cell renewal and equilibrium,autophagy can affect the biological functions of mesenchymal stem cells such as migration,survival,differentiation,anti-apoptosis and immune regulation,and optimize their therapeutic efficacy for diseases.(3)Mesenchymal stem cells are an important class of neuroprotective agents that can alleviate pathological features and improve dysfunction in neurodegenerative diseases by regulating the level of cellular autophagy,which may be related to specific cellular conditions and activation levels in catabolic processes.

ObjectiveTo explore whether miR-375 regulates the malignant characteristics of osteosarcoma (OS) by influencing the expression of MMP13. MethodsPlasmid DNAs and miRNAs were transfected into OS cells and HEK293 cells using Lipofectamine 3000 reagent. Real-time quantitative polymerase chain reaction was performed to measure the expression of miR-375 and MMP13 in OS patients and OS cells. Western blot was performed to analyze the MMP13 protein in the patients with OS and OS cells. The targeting relationship between miR-375 and MMP13 was analyzed by luciferase assay. Migration and invasion were analysed by heal wound and transwell assays, respectively. ResultsmiR-375 expression in OS tissues was lower than that in normal tissues. The expression of MMP13 was upregulated in OS tissues. MMP13 expression was negatively correlated withmiR-375 expression in patients with OS. Migration and invasion were significantly inhibited in OS cells with the miR-375 mimic compared with OS cells with the miRNA control. MMP13 partially reversed the inhibition of migration and invasion induced by miR-375 in the OS cells. ConclusionmiR-375 attenuates migration and invasion by downregulating the expression of MMP13 in OS cells.

Developmental dyslexia (DD) is a prevalent learning disorder, and the KIAA0319 gene is a DD-associated gene, potentially affecting reading ability by influencing brain development. This review provides an overview of the impact of KIAA0319 gene on brain development in fish, non-primate mammals, primate mammals, and humans. In studies involving fish, the kiaa0319 gene was found to be expressed in the brain, eyes and ears of zebrafish. In mammalian studies, abnormal Kiaa0319 gene expression affected neuronal migration direction and final position, as well as dendritic morphology during embryonic development in rats, leading to abnormal white and gray matter development. Knocking down the Kiaa0319 gene impaired the primary auditory cortex in rats, resulting in phoneme processing impairment similar to DD. In mice, Kiaa0319 overexpression affected the neuronal migration process, causing delayed radial migration of neurons to the cortical plate. Knockout of the Kiaa0319 gene led to abnormal development of the gray matter in mice, resulting in reduced volume of the medial geniculate nucleus and then impacting auditory processing. In primate studies, research on marmosets found that KIAA0319 gene is expressed in the visual, auditory, and motor pathways, while studies on chimpanzees revealed that KIAA0319 gene abnormalities primarily affected the gray matter volume and microstructure of the posterior superior temporal gyrus, morphology of the superior temporal sulcus and gray matter volume of the inferior frontal gyrus. The impact of KIAA0319 gene on human brain development is mainly concentrated in the left temporal lobe, where abnormal KIAA0319 gene expression caused reduced gray matter in the left inferior temporal gyrus, middle temporal gyrus and fusiform gyrus, as well as reduced white matter volume in the left temporoparietal cortex. Abnormalities in KIAA0319 gene also led to decreased hemispheric asymmetry in the superior temporal sulcus. The above-mentioned brain regions are crucial for language and reading processing. It is analyzed that the abnormalities in the DD-associated KIAA0319 gene affect neuronal migration and morphology during brain development, resulting in abnormal development of subcortical structures (such as the medial geniculate nucleus and lateral geniculate nucleus) and cortical structures (including the left temporal cortex, temporoparietal cortex and fusiform gyrus) which are involved in human visual and auditory processing as well as language processing. Impairment of the medial geniculate nucleus affects the information transmission to the auditory cortex, leading to impaired phoneme processing. Abnormalities in the magnocellular layers within the lateral geniculate nucleus hinder the normal transmission of visual information to the visual cortex, affecting the dorsal visual pathway. The left temporal lobe is closely related to language and reading, and abnormalities in its gray matter and connections with other brain areas can affect the language and word processing. In summary, abnormalities in the KIAA0319 gene can partly explain current research findings on the cognitive and neural mechanisms of DD, providing a genetic basis for theoretical models related to DD (such as general sensorimotor theory and the magnocellular theory). However, the mechanism of developmental dyslexia is complex, and there are mutual influences between different DD-associated genes and between genes and the environment, which require further exploration.

Neonatal lupus erythematosus(NLE)is caused by the transmission of maternal anti-Ro/SSA antibodies,anti-La/SSB antibodies,and other autoantibodies to the fetus through the placenta.Usually,with the disappearance of autoantibodies in the children's body,abnormal changes in the mucocutaneous,blood system,and digestive system can spontaneously subside,but the damage to various systems caused by autoantibodies may persist for a long time.This article provides a comprehensive review of the manifestations and prognosis of NLE in various systems,including mucocutaneous,blood system,circulatory system,nervous system,digestive system,respiratory system,aiming to provide reference for clinical work.