Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Artificial intelligence (AI) has emerged as a transformative technology in accelerating drug discovery and development within natural medicines research. Natural medicines, characterized by their complex chemical compositions and multifaceted pharmacological mechanisms, demonstrate widespread application in treating diverse diseases. However, research and development face significant challenges, including component complexity, extraction difficulties, and efficacy validation. AI technology, particularly through deep learning (DL) and machine learning (ML) approaches, enables efficient analysis of extensive datasets, facilitating drug screening, component analysis, and pharmacological mechanism elucidation. The implementation of AI technology demonstrates considerable potential in virtual screening, compound optimization, and synthetic pathway design, thereby enhancing natural medicines' bioavailability and safety profiles. Nevertheless, current applications encounter limitations regarding data quality, model interpretability, and ethical considerations. As AI technologies continue to evolve, natural medicines research and development will achieve greater efficiency and precision, advancing both personalized medicine and contemporary drug development approaches.
Biological Products/pharmacology* ; Artificial Intelligence ; Humans ; Drug Discovery/methods* ; Machine Learning ; Deep Learning

Instrument separation is a critical complication during root canal therapy, impacting treatment success and long-term tooth preservation. The etiology of instrument separation is multifactorial, involving the intricate anatomy of the root canal system, instrument-related factors, and instrumentation techniques. Instrument separation can hinder thorough cleaning, shaping, and obturation of the root canal, posing challenges to successful treatment outcomes. Although retrieval of separated instrument is often feasible, it carries risks including perforation, excessive removal of tooth structure and root fractures. Effective management of separated instruments requires a comprehensive understanding of the contributing factors, meticulous preoperative assessment, and precise evaluation of the retrieval difficulty. The application of appropriate retrieval techniques is essential to minimize complications and optimize clinical outcomes. The current manuscript provides a framework for understanding the causes, risk factors, and clinical management principles of instrument separation. By integrating effective strategies, endodontists can enhance decision-making, improve endodontic treatment success and ensure the preservation of natural dentition.
Humans ; Root Canal Therapy/adverse effects* ; Consensus ; Root Canal Preparation/adverse effects*

OBJECTIVE: Poxviruses are zoonotic pathogens that infect humans, mammals, vertebrates, and arthropods. However, the specific role of ticks in transmission and evolution of these viruses remains unclear. METHODS: Transcriptomic and metatranscriptomic raw data from 329 sampling pools of seven tick species across five continents were mined to assess the diversity and abundance of poxviruses. Chordopoxviral sequences were assembled and subjected to phylogenetic analysis to trace the origins of the unblasted fragments within these sequences. RESULTS: Fifty-eight poxvirus species, representing two subfamilies and 20 genera, were identified, with 212 poxviral sequences assembled. A substantial proportion of AT-rich fragments were detected in the assembled poxviral genomes. These genomic sequences contained fragments originating from rodents, archaea, and arthropods. CONCLUSION Our findings indicate that ticks play a significant role in the transmission and evolution of poxviruses. These viruses demonstrate the capacity to modulate virulence and adaptability through horizontal gene transfer, gene recombination, and gene mutations, thereby promoting co-existence and co-evolution with their hosts. This study advances understanding of the ecological dynamics of poxvirus transmission and evolution and highlights the potential role of ticks as vectors and vessels in these processes.
Animals ; Poxviridae/physiology* ; Ticks/virology* ; Phylogeny ; Transcriptome ; Evolution, Molecular ; Poxviridae Infections/virology* ; Genome, Viral

OBJECTIVE To investigate the mechanism by which Ginkgo flavone aglycone （GA） reduces the cardiotoxicity of doxorubicin （DOX） based on transcriptomics and proteomics. METHODS Thirty-six mice were randomly assigned to control group （CON group， tail vein injection of equal volume of physiological saline every other day+daily intragastric administration of an equal volume of physiological saline）， DOX group （tail vein injection of 3 mg/kg DOX every other day）， and GDOX group （daily intragastric administration of 100 mg/kg GA+tail vein injection of 3 mg/kg DOX every other day）， with 12 mice in each group. The administration of drugs/physiological saline was continued for 15 days. Mouse heart tissues were collected for RNA-Seq transcriptomic sequencing and 4D-Label-free quantitative proteomic analysis to screen differentially expressed genes and proteins， which were then subjected to Kyoto encyclopedia of genes and genomes （KEGG） enrichment analysis. The expression levels of Apelin peptide （Apelin）， phosphatidylinositol 3-kinase （PI3K）， and protein kinase B （Akt） mRNA and protein in mouse heart tissues， as well as the phosphorylation levels of PI3K and Akt proteins， were verified. H9c2 cardiomyocytes were divided into control group （CON group）， DOX group （2 μmol/L）， and GDOX group （2 μg/mL GA+2 μmol/L DOX） to determine cell viability and the levels of key glycolytic substances in the cells. RESULTS Six common pathways were identified from transcriptomics and proteomics， including the Apelin signaling pathway， the PI3K-Akt signaling pathway， and insulin resistance. Among them， the Apelin and PI3K-Akt signaling pathways were the most enriched in terms of gene numbers. Target validation experiments showed that compared to the CON group， the relative expression of Apelin， PI3K and Akt mRNA and protein levels， as well as the phosphorylation levels of PI3K and Akt proteins， were significantly decreased in the DOX group （P＜0.05 or P＜0.01）. The relative expression of Apelin， PI3K and Akt mRNA and the phosphorylation levels of PI3K and Akt proteins were significantly increased in the GDOX group as compared with the DOX group （P＜0.05 or P＜0.01）. Cellular experiments indicated that compared to the CON group， cell viability in the DOX group was significantly decreased （P＜0.05）， the relative uptake of glucose and the relative production of pyruvate and lactate were significantly increased （P＜0.05）， and the relative production of ATP was significantly reduced （P＜0.05）. Compared to the DOX group， cell viability in the GDOX group was significantly increased （P＜ 0.05）， and the relative production of pyruvate and lactate was significantly reduced （P＜0.05）. CONCLUSIONS GA may alleviate DOX-induced cardiotoxicity by upregulating the mRNA and protein expression of Apelin， PI3K， and Akt in heart tissues， and regulating glycolytic processes.

BACKGROUND:Scoliosis mainly refers to sequence abnormalities in the coronal,sagittal,and axial positions of the spine,with a Cobb angle of≥10°.The patients may experience symptoms such as unequal shoulder height and back asymmetry.Severe cases may affect the patient's cardiopulmonary function,thereby affecting their daily life.Conservative treatment can control the progression of scoliosis and avoid later surgery.Scoliosis orthosis is currently a commonly used and effective treatment measure in conservative treatment. OBJECTIVE:To summarize and analyze the current research status,hotspots,and trends of scoliosis orthoses both domestically and internationally,providing reference for related research. METHODS:Using bibliometrics and visual analysis as tools,and using a comparison between China and foreign countries as a method,this paper analyzes the literature on scoliosis orthosis journals in the past decade.Based on bibliometrics,the current status of research on scoliosis orthoses is determined.Citespace software is used to analyze key words and identify the current hotspots and future trends in scoliosis orthosis research. RESULTS AND CONCLUSION:(1)At present,the number of literature on scoliosis orthoses is still on a fluctuating upward trend.China and the United States are the main countries for research,with a literature share of over 40%.However,the average citation rate of foreign language literature by Chinese scholars is relatively low.(2)The basic fields of domestic research are mainly surgery and pediatrics,while orthotics and clinical neurology are mainly studied abroad.Among them,there is also a certain number of documents in domestic Chinese medicine,indicating that China is also engaged in the combination of Chinese and Western treatment of scoliosis.The National Natural Science Foundation of China has the highest proportion in the aspect of Chinese and foreign literature,reflecting the importance of the fund attaches to the research of scoliosis orthosis.(3)The authors with the highest number of publications are Qiu Yong and Negrini Stefano,and the most published institutions are the Spinal Surgery Department of Gulou Hospital affiliated to Nanjing University Medical College and UDICE-French Research University.Domestic and foreign authors and institutions have certain communications about this,but not closely,which requires relevant institutions and scholars to further explore and study.(4)From the research hotspots and future trends,the main treatment type is adolescent idiopathic scoliosis,while the production method of the short-column side bending orthosis is three-dimensinoal printing,and the main treatment index is convex progression.The ultimate purpose of treatment is to improve the quality of life of the patients.

The imprint desorption electrospray photoionization mass spectrometry was employed to locally image the spatial distribution of chemical components in dried tobacco leaves after initial curing. The relative content distribution of different chemical components was obtained in tobacco leaves. The application of imprinting method could transfer tobacco internal compounds to the surface of porous polytetrafluoroethylene plate,which realized the detection and visual analysis of tobacco internal substances. Besides,the imprint desorption electrospray ionization/post-photoionization (Imprint DESI/PI) mass spectrometry imaging technique had the advantages of non-polarity discrimination,soft ionization and high ionization efficiency for plant samples,and could simultaneously detect and image rich compounds in tobacco samples. A total of 40 kinds of chemical components including alkaloids,amino acids,sugars,acids,ketones and phenols were identified based on high resolution mass spectrometry. The results showed that the representative chemical components of tobacco,such as alkaloids,amino acids and sugars,were mainly distributed near the leaf tip from the vertical analysis and at the left and right leaf edges from the horizontal analysis. Amadori compound (1-Deoxy-1-L-proline-d-fructose) was detected,and the content of Amadori was found to be consistent with that of free amino acid (proline). In addition,the technique was further used to study the climate spot disease area of tobacco,and it was found that the compounds had specific distribution in the climate spot area,which further proved the superiority of this method in studying the growth stress of tobacco leaves.