As narrow band imaging（NBI） technology and research for vocal fold leukoplakia have advanced, the diagnostic and therapeutic paradigms for this condition have evolved significantly. This paper provides insight into the challenges of clinical management of vocal fold leukoplakia, drawing on our empirical findings to clarify the etiology, differential diagnosis, pathological grading, morphological characteristics, and recent therapeutic developments of this condition.
Humans ; Vocal Cords/pathology* ; Leukoplakia/therapy*

Osteosarcoma (OS), chondrosarcoma (CS), and Ewing sarcoma (ES) represent primary malignant bone tumors and pose significant challenges in oncology research and clinical management. Conventional research methods, such as two-dimensional (2D) cultured tumor cells and animal models, have limitations in recapitulating the complex tumor microenvironment (TME) and often fail to translate into effective clinical treatments. The advancement of three-dimensional (3D) culture technology has revolutionized the field by enabling the development of in vitro constructed bone tumor models that closely mimic the in vivo TME. These models provide powerful tools for investigating tumor biology, assessing therapeutic responses, and advancing personalized medicine. This comprehensive review summarizes the recent advancements in research on 3D tumor models constructed in vitro for OS, CS, and ES. We discuss the various techniques employed in model construction, their applications, and the challenges and future directions in this field. The integration of advanced technologies and the incorporation of additional cell types hold promise for the development of more sophisticated and physiologically relevant models. As research in this field continues to evolve, we anticipate that these models will play an increasingly crucial role in unraveling the complexities of malignant bone tumors and accelerating the development of novel therapeutic strategies.
Bone Neoplasms/pathology* ; Humans ; Osteosarcoma/pathology* ; Tumor Microenvironment ; Sarcoma, Ewing/pathology* ; Chondrosarcoma/pathology* ; Animals ; Cell Culture Techniques/methods* ; Cell Culture Techniques, Three Dimensional/methods* ; Cell Line, Tumor

The oxytocin receptor (OXTR) has garnered increasing attention for its role in regulating both mature behaviors and brain development. It has been established that OXTR mediates a range of effects that are region-specific or period-specific. However, the current studies of OXTR expression patterns in mice only provide limited help due to limitations in resolution. Therefore, our objective was to generate a comprehensive, high-resolution spatiotemporal expression map of Oxtr mRNA across the entire developing mouse brain. We applied RNAscope in situ hybridization to investigate the spatiotemporal expression pattern of Oxtr in the brains of male mice at six distinct postnatal developmental stages (P7, P14, P21, P28, P42, P56). We provide detailed descriptions of Oxtr expression patterns in key brain regions, including the cortex, basal forebrain, hippocampus, and amygdaloid complex, with a focus on the precise localization of Oxtr⁺ cells and the variance of expression between different neurons. Furthermore, we identified some neuronal populations with high Oxtr expression levels that have been little studied, including glutamatergic neurons in the ventral dentate gyrus, Vgat⁺Oxtr⁺ cells in the basal forebrain, and GABAergic neurons in layers 4/5 of the cortex. Our study provides a novel perspective for understanding the distribution of Oxtr and encourages further investigations into its functions.
Animals ; Receptors, Oxytocin/metabolism* ; Male ; Brain/growth & development* ; Mice ; Mice, Inbred C57BL ; Neurons/metabolism* ; Single-Cell Analysis ; Gene Expression Regulation, Developmental ; RNA, Messenger/metabolism* ; Animals, Newborn

Small nuclear RNAs (snRNAs) refer to a class of highly abundant and functionally important non-coding small RNAs that are localized in the eukaryotic nucleus. These snRNAs are highly conserved in different eukaryotes during evolution and form complexes with specific chaperones to fulfill critical biological functions, including precursor messenger RNA (pre-mRNA) splicing and ribosomal RNA (rRNA) modification. Consequently, the regulation of snRNA gene expression is a crucial biological process for plants. In plants, the transcription and processing of snRNAs are regulated by RNA polymerase (Pol), snRNA-activating protein complex (SNAPc), defective in snRNA processing (DSP), and specific cis-elements in the snRNA promoter regions. Proper regulation of snRNA expression is essential for normal plant growth, development, and stress responses. This review summarizes the classification, structures, transcriptional regulation, and biological functions of plant snRNA genes, while outlining future research directions for snRNAs.
RNA, Small Nuclear/physiology* ; Gene Expression Regulation, Plant ; Transcription, Genetic ; Plants/metabolism* ; RNA, Plant/genetics*

Objective To evaluate the regulatory effects of psilocybin on social behavior of male C57BL/6J mice.Methods Adult male C57BL/6J mice were intraperitoneally injected with psilocybin(0.2,1 and 5 mg/kg,i.p.),and the effects of psilocybin on prosocial behavior were evaluated by the three-chamber test.Stressed mice undergoing chronic social defeat stress(CSDS)were given acute intraperitoneal injection of psilocybin(1 mg/kg)to evaluate the moderation of social novelty preference behavior using the modified two-chamber test.Results Intraperitoneal injection of psilocybin(1 mg/kg)promoted prosocial behavior and prolonged social time(P＜0.01),while intraperitoneal injection of psilocybin(0.2 mg/kg)had no apparent effect on the prosocial behavior of mice,and intraperitoneal injection of psilocybin(5 mg/kg)inhibited prosocial behavior before promoting it.Further studies showed that intraperitoneal injection of psilocybin(1 mg/kg)increased the social novelty exploration time in stressed mice undergoing CSDS.Conclusion This study shows that 1 mg/kg dose of psilocybin can promote the prosocial behavior in mice,and potentially ameliorate the deficit of social novelty preference behavior in CSDS mice.

Surgical robot is the national strategic diagnostic and therapeutic equipment research focus,get a number of scientific research institutes,colleges and universities and enterprises pay extensive attention to the design and development of a variety of surgical robots,and registration declaration.This article explores the critical technologies of surgical robots and key areas for optimizing their performance,including kinematic positioning errors,pose errors,feedback model errors,image recognition positioning errors,path planning,and safety aspects.The findings not only provide a scientific basis for future standardization research on surgical robots but also offer significant theoretical and practical references for the research,manufacturing,and registration processes in the medical robotics industry.

Objective·To investigate the expression of miR-146a in peripheral blood CD4+T lymphocytes of patients with rheumatoid arthritis(RA)and its correlation with inflammatory cytokines such as tumor necrosis factor-α(TNF-α)and interleukin-6(IL-6).Methods·A total of 30 active RA patients who received medical treatment and 30 healthy controls who underwent physical examinations at the People's Hospital of Longhua,Shenzhen from August 2019 to July 2021 were selected.Peripheral blood mononuclear cells(PBMCs)and CD4+T lymphocytes were isolated from venous blood extracted from RA patients and healthy controls,respectively.Quantitative real-time PCR(qPCR)was used to detect the expression of miR-146a in peripheral blood CD4+T lymphocytes,and enzyme-linked immunosorbent assay(ELISA)was used to detect the levels of TNF-α and IL-6.After transfection of the peripheral blood CD4+T lymphocytes of RA patients with miR-146a mimic,the expression of miR-146a,TNF-α and IL-6 was detected again.The correlations between miR-146a expression and TNF-α and IL-6 expression in RA patients,both before and after transfection,were analyzed by using Pearson correlation coefficient.Results·Before transfection with miR-146a mimic,the expression levels of miR-146a,TNF-α and IL-6 in peripheral blood CD4+T lymphocytes of RA patients were significantly higher than those of healthy controls(all P＜0.001).After transfection,the expression of miR-146a in peripheral blood CD4+T lymphocytes of RA patients was significantly higher,and the expression of TNF-α and IL-6 was significantly lower(all P＜0.001).The results of Pearson correlation analysis showed that the expression of miR-146a in peripheral blood CD4+T lymphocytes of RA patients,both before and after transfection,was positively correlated with the expression of TNF-α and IL-6,respectively(r=0.959,P＜0.001;r=0.916,P＜0.001;r=0.971,P＜0.001;r=0.861,P＜0.001).Conclusion·miR-146a can regulate the levels of TNF-α and IL-6 in peripheral blood CD4+T lymphocytes of RA patients,indicating that miR-146a may play a role in the pathogenesis of RA.

Objective:To investigate the protective effects of an anti-inflammatory mixture on acute lung injury (ALI) induced by sepsis in rats, as well as its possible mechanisms.Methods:A total of 40 Sprague-Dawley (SD) rats were randomly divided into the sham group, septic ALI model group (model group), 3-methyladenine (3-MA) control group, and anti-inflammatory mixture pretreatment group, with 10 rats in each group. Cecal ligation and perforation (CLP) was performed to reproduce a septic ALI model. The rats in the sham group only underwent opening and closing the abdomen without perforation and ligation. Both groups were given saline gavage and intraperitoneal injection for 3 consecutive days before surgery. The 3-MA control group was given intraperitoneal injection of saline and autophagy inhibitor 3-MA 15 mg/kg for 3 consecutive days before modeling. The anti-inflammatory mixture pretreatment group was given 8.8 mL/kg of anti-inflammatory mixture by gavage [the composition of anti-inflammatory mixture: rhubarb 15 g (after the next), coptis chinensis 15 g, baical skullcap root 12 g, magnoliae cortex 12 g, dahurian patrinia herb 30 g] and saline intraperitoneal injection for 3 consecutive days before modeling. The rats in each group were anesthetized 24 hours after surgery and died due to abdominal aortic blood collection. Enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of serum inflammatory cytokines interleukins (IL-1β and IL-6). Lung tissue was taken and then the bronchoalveolar lavage fluid (BALF) was collected, and the levels of IL-1β and IL-6 were detected by ELISA. Lung wet/dry weight (W/D) ratio was measured. After hematoxylin-eosin (HE) staining, the histopathological changes of the lungs were observed under light microscopy. Western blotting was used to detect the expression of autophagy markers microtubule-associated protein 1 light chain 3-Ⅱ/Ⅰ (LC3-Ⅱ/Ⅰ) and Beclin-1 protein in lung tissue. Autophagosomes in lung tissue were observed with transmission electron microscopy.Results:Compared with the sham group, the rats in the model group exhibited severe destruction of lung tissue structure, with significant infiltration of inflammatory cells, the lung W/D ratio and the levels of IL-1β and IL-6 in serum and BALF were significantly increased, the expressions of LC3-Ⅱ/Ⅰ and Beclin-1 protein were down-regulated, the autophagosomes were more. The rats in the 3-MA control group exhibited more severe lung tissue injury as compared with the model group, the lung W/D ratio and the levels of inflammatory cytokines in serum and BALF were further increased, the expressions of LC3-Ⅱ/Ⅰ and Beclin-1 protein still showed a decrease tendency as compared with the sham group, and the autophagosomes were less than that in the model group. Compared with the model group, the anti-inflammatory mixture pretreatment group showed milder lung tissue injury with a minimal amount of inflammatory cell infiltration, the lung W/D ratio was significantly reduced (7.07±1.02 vs. 11.33±1.85, P < 0.05), the levels of IL-1β and IL-6 in both serum and BALF were significantly decreased [IL-1β (ng/L): 26.04±3.86 vs. 40.83±5.46 in serum, 17.75±2.02 vs. 26.86±4.32 in BALF; IL-6 (ng/L): 91.28±10.15 vs. 129.44±13.05 in serum, 76.06±7.51 vs. 120.91±7.47 in BALF, all P < 0.05], and the ratio of LC3-Ⅱ/Ⅰ and Beclin-1 protein expression were significantly increased [LC3-Ⅱ/Ⅰ ratio: 1.23±0.02 vs. 0.60±0.02, Beclin-1 protein (Beclin-1/GAPDH): 2.37±0.33 vs. 0.62±0.05, both P < 0.05]. Furthermore, an increase in the number of autophagosomes was observed. Conclusion:The anti-inflammatory mixture improves lung injury in rats with sepsis induced by CLP and reduce inflammation levels, potentially through upregulation of Beclin-1-mediated autophagy.

The recording and analysis of activities of calcium signals in neurons is of critical importance in the field of neuroscience.Over the past three decades,various fluorescent calcium imaging techniques not only have been used in the imaging study of functional activities of neuronal communities,but also can be combined with specific markers to record the functional activities of specific types of neuronal communities.To analyze neural activities at the cellular level,a series of preprocessing such as motion correction,cell body recognition,calcium signal extraction and peak deconvolution is required for the collected video.However,current methods for manual preprocessing are time-consuming and laborious,so computer automatic analysis technology is urgently needed to quickly repair the jitter in the video,identify the position and outline of a single cell,extract its activity trajectory and infer the action potential peak.In this paper,the methods of calcium imaging data processing used in recent years are summarized,and the future developments are predicted.

Objective To build a neural network based on the Unet infrastructure for recognition and segmentation of two-dimensional calcium imaging fluorescence images.Methods The in vivo miniaturized two-photon microscope(mTPM)was used for brain calcium imaging in freely moving mice.The imaging data was motion corrected using the NoRMCorre algorithm and processed using ImageJ software to obtain the original images after correction,and the labels were produced using the Labelme software.The neural network HDCGUnet was built using the original images and labels for training,and optimized to improve the model structure according to the training effect.Finally,the evaluation indexes were selected and compared with those of other models to verify the utility of this model.Results The HDCGUnet model,which was collected and made on our own,performed best in the two-photon calcium imaging dataset compared to other models,and performed well on the BBBC dataset either.Conclusion The HDCGUnet model provides a novel alternative for the recognition and segmentation of two-photon calcium imaging images.