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: To determine the inhibitory effects of pachymic acid on lung adenocarcinoma (LUAD) cells and elucidate its underlying mechanism. Methods: CCK-8, wound healing, Transwell, Western blot, tube formation, and immunofluorescence assays were carried out to measure the effects of various concentrations of pachymic acid on LUAD cell proliferation, metastasis, angiogenesis as well as autophagy. Subsequently, molecular docking technology was used to detect the potential targeted binding association between pachymic acid and protein tyrosine phosphatase 1B (PTP1B). Moreover, PTP1B was overexpressed in A549 cells to detect the specific mechanisms of pachymic acid. Results: Pachymic acid suppressed LUAD cell viability, metastasis as well as angiogenesis while inducing cell autophagy. It also targeted PTP1B and lowered PTP1B expression. However, PTP1B overexpression reversed the effects of pachymic acid on metastasis, angiogenesis, and autophagy as well as the expression of Wnt3a and β-catenin in LUAD cells. Conclusions: Pachymic acid inhibits metastasis and angiogenesis, and promotes autophagy in LUAD cells by modulating the Wnt/ β-catenin signaling pathway via targeting PTP1B.

Human-animal interaction has a long-standing tradition dating back to ancient times. With the rapid advancements in intelligent chips, wearable devices, and machine algorithms, the intelligent interaction between animals and electronic technology, facilitated by electronic devices and systems for communication, perception, and control, has become a reality. These electronic devices aim to implement an animal-centric working mode to enhance human understanding of animals and promote the development of animal intelligence and creativity. This article takes medium-sized and large animals as research objects, with the goal of developing their ability enhancement, and introduces the concept of “intelligent animal augmentation system (IAAS)”. This concept is used to describe the characteristics of such devices and provides a comprehensive overview of existing animal and computer interface solutions. In general, IAAS can be divided into implantable and non-implantable types, each composed of interface platforms, perception and interpretation, control and instruction components. Through various levels of enhancement systems and architectural patterns, intelligent interaction between humans and animals can be realized. Although existing IAAS still lack a complete independent interaction system architecture, they hold great promise and development space in the future. Not only can they be applied as substitutes for cutting-edge devices and transportation equipment, but they are also expected to achieve cross-species information interaction through intelligent interconnection. Additionally, IAAS can promote bidirectional interaction between humans and animals, playing a significant role in advancing animal ethics and ecological protection. Furthermore, the development of interaction models based on animal subjects can provide insightful research experiences for the design of human-computer interaction systems, thereby contributing to the more efficient realization of the ambitious goal of human-machine integration.

The main protease (M^pro) of SARS-CoV-2 is an attractive target in anti-COVID-19 therapy for its high conservation and major role in the virus life cycle. The covalent M^pro inhibitor nirmatrelvir (in combination with ritonavir, a pharmacokinetic enhancer) and the non-covalent inhibitor ensitrelvir have shown efficacy in clinical trials and have been approved for therapeutic use. Effective antiviral drugs are needed to fight the pandemic, while non-covalent M^pro inhibitors could be promising alternatives due to their high selectivity and favorable druggability. Numerous non-covalent M^pro inhibitors with desirable properties have been developed based on available crystal structures of M^pro. In this article, we describe medicinal chemistry strategies applied for the discovery and optimization of non-covalent M^pro inhibitors, followed by a general overview and critical analysis of the available information. Prospective viewpoints and insights into current strategies for the development of non-covalent M^pro inhibitors are also discussed.

Objective China is among the 30 countries with a high burden of tuberculosis(TB)worldwide,and TB remains a public health concern.Kashgar Prefecture in the southern Xinjiang Autonomous Region is considered as one of the highest TB burden regions in China.However,molecular epidemiological studies of Kashgar are lacking. Methods A population-based retrospective study was conducted using whole-genome sequencing(WGS)to determine the characteristics of drug resistance and the transmission patterns. Results A total of 1,668 isolates collected in 2020 were classified into lineages 2(46.0%),3(27.5%),and 4(26.5%).The drug resistance rates revealed by WGS showed that the top three drugs in terms of the resistance rate were isoniazid(7.4%,124/1,668),streptomycin(6.0%,100/1,668),and rifampicin(3.3%,55/1,668).The rate of rifampicin resistance was 1.8%(23/1,290)in the new cases and 9.4%(32/340)in the previously treated cases.Known resistance mutations were detected more frequently in lineage 2 strains than in lineage 3 or 4 strains,respectively:18.6%vs.8.7 or 9%,P<0.001.The estimated proportion of recent transmissions was 25.9%(432/1,668).Multivariate logistic analyses indicated that sex,age,occupation,lineage,and drug resistance were the risk factors for recent transmission.Despite the low rate of drug resistance,drug-resistant strains had a higher risk of recent transmission than the susceptible strains(adjusted odds ratio,1.414;95%CI,1.023-1.954;P = 0.036).Among all patients with drug-resistant tuberculosis(DR-TB),78.4%(171/218)were attributed to the transmission of DR-TB strains. Conclusion Our results suggest that drug-resistant strains are more transmissible than susceptible strains and that transmission is the major driving force of the current DR-TB epidemic in Kashgar.

Objective To investigate the independent risk factors of comprehensive complication index(CCI)≥26.2 after radical resection of colon cancer,and use these factors to establish and verify a dynamic web-based nomogram model.Methods The clinical data of colon cancer patients who underwent radical resection in the Affiliated Hospital of Jiangnan University from November 2020 to April 2022 were retrospectively collected,and divided into main cohort(November 2020 to October 2021,n=438)and validation cohort(November 2021 to April 2022,n=196).CCI scores of all patients were obtained based on CCI calculator(http://www.assessurgery.com).Univariate and multivariate logistic regression analysis were performed to identify the risk factors for CCI≥26.2,and a nomogram model was constructed.Receiver operator characteristic curve(ROC),C index and calibration curve were used to evaluate the differentiation and consistency of predictive nomogram model,and the decision curve analysis was conducted to assess the clinical benefits of the model.Internal validation of the model is performed in the validation cohort.Results A total of 438 patients were identified in present study,of which 63 cases(14.4%)had CCI≥26.2.Multivariate logistic regression analysis revealed that age≥60 years(OR=2.662,95%CI 1.341-5.285,P=0.005),low third lumbar spine skeletal muscle mass index(L3MI;OR=4.572,95%CI 2.435-8.583,P<0.001),NRS2002≥3(OR=4.281,95%CI 2.304-7.952,P<0.001),and preoperative bowel obstruction(OR=3.785,95%CI 1.971-7.268,P<0.001)were significant independent risk factors for postoperative CCI≥26.2.Based on these results,a static and web-based dynamic nomogram was established(https://jndxfsyywcwksyf.shinyapps.io/DynNomCCI/).The C-index and area under the curve(AUC)of the nomogram were 0.742 and 0.787,respectively.The calibration curve indicated a good consistency between the predicted probability and the actual probability.In the validation cohort,the nomogram also presented good discrimination(C-index=0.722,AUC=0.795)and predictive consistency.The decision curve analysis indicated the clinical benefit and application value of the nomogram prediction model.Conclusion This easy-to-use dynamic nomogram based on 4 independent risk factors can conveniently and reliably predict the probability of CCI≥26.2 after radical resection of colon cancer,which helps optimize the preoperative evaluation system,formulate precise individualized treatment strategies,and enhance recovery after surgery.

Post-endoscopic retrograde cholangiopancreatography pancreatitis(PEP)is one of the most common complications after endoscopic retrograde cholangiopancreatography(ERCP).Numerous PEP prediction models have been established based on different statistical methods at home and abroad.The PEP prediction model,as a tool for evaluating and screening high-risk populations,can provide a basis for medical staff to find high-risk PEP patients early and take effective preventive measures.In recent years,new PEP prediction models have appeared one after another,but there is still a lack of recognized reliable prediction models in clinic.This article reviews the research status of PEP risk prediction models,aim to provide a direction for establishing a more reliable,accurate,and practical PEP risk prediction model in the later period.

Sialic acid-binding immunoglobulin-like lectins(Siglecs)are expressed on most white blood cells and play a key role in signal transduction of immune cells.Recent studies have shown that many bacterial pathogens regulate the host immune response through the interaction between sialic acid(Sia)and Siglecs,thereby influencing the occurrence and development of diseases.Understanding bacterial pathogenic mechanisms is essential to identify potential effective therapeutic targets and help manage bacterial infectious diseases.Herein,the structure,biological function,and research progress in Siglecs in bacterial in-fectious diseases are briefly reviewed.

Objective To investigate the correlation between DNA methyltransferase 3a(DNMT3a)expression and prognosis of lung squamous cell carcinoma(LSCC),as well as to elucidate the potential molecular mechanisms of DNMT3a in LSCC progression.Methods A retrospective analysis was conducted on a cohort of 47 LSCC patients who underwent surgery in the Department of Thoracic Surgery,the Second Affiliated Hospital of Air Force Medical University between May 2009 and January 2014.DNMT3a expression in LSCC tissues and paired adjacent non-cancerous tissues was assessed using immunohistochemical(IHC)staining.Patients were categorized into two groups based on the median IHC score of DNMT3a in LSCC tissues:high DNMT3a expression group(n=25)and low DNMT3a expression group(n=22).Prognostic correlation was analyzed in combination with clinicopathological data and public biological databases.To explore the molecular mechanisms of DNMT3a in LSCC progression,H1703 LSCC cell lines with overexpressed DNMT3a were established using a lentiviral infection method,with the creation of DNMT3a overexpression group and control group.Functional phenotype experiments were then conducted to test the differences in cell proliferation and migration between the two groups.DNMT3a overexpression tumor xenograft models were also established in nude mice,with the creation of DNMT3a overexpression group and control group(3 mice per group),to observe the growth of subcutaneous xenograft tumors.Western blotting analysis was employed to detect the expression of related proteins in the two groups of cells and subcutaneous xenograft tumors.Functional rescue experiments involved treating DNMT3a overexpression cells with c-Myc inhibitor(10058-F4)and assessing cell proliferation using EdU proliferation staining.Subsequently,DNMT3a overexpression cells were infected with RNAi-Zinc finger E-box binding homeobox 1(ZEB1)lentivirus to knock down ZEB1 expression,and a Transwell migration assay was utilized to detect cell migration.Finally,DNMT3a overexpression group and control group were treated with DNMT specific inhibitor(SGI-1027),and the effects of DNMT3a inhibition on cell proliferation and migration were observed in both overexpression and control groups.Results IHC analysis revealed significantly higher DNMT3a level in LSCC tissues compared to adjacent non-cancerous tissues(P<0.0001).High DNMT3a expression was closely associated with N stage,clinical stage and tumor differentiation degree(P<0.05 or P<0.01),and it was identified as an independent risk factor for poor prognosis in LSCC patients(P<0.05).Functional phenotype experiments indicated that DNMT3a overexpression group exhibited significantly higher colony formation number,proportion of EdU-positive cells,wound healing migration rate,and Transwell cell migration number compared with control group(P<0.05).The volume and weight of subcutaneous xenograft tumors in DNMT3a overexpression group were significantly higher than those in control group(P<0.001).Western blotting showed that the protein expression levels of c-Myc and ZEB1 in DNMT3a overexpression group were significantly higher than those in control group.Functional rescue experiments demonstrated a significant reduction in the proportion of EdU-positive cells after 10058-F4 treatment in DNMT3a overexpression group(P<0.05).Knockdown of ZEB1 led to a significant decrease in the number of Transwell cell migration in DNMT3a overexpression group(P<0.05),with no significant change in DNMT3a protein expression.Additionally,inhibition of DNMT3a with SGI-1027 resulted in a significant decrease in colony formation number and migration rate in both DNMT3a overexpression group and control group(P<0.05).Conclusions High expression of DNMT3a is a significant independent risk factor for poor prognosis of LSCC patients.DNMT3a is likely to promote the proliferation of LSCC by upregulating c-Myc expression and to enhance the migration of LSCC by increasing ZEB1 expression.

OBJECTIVE: Circular RNAs (circRNAs) participate in several important pathological processes and have been used in the diagnosis and treatment of various diseases. This study aimed to investigate the role of circRNAs in neural tube defects (NTDs). METHOD: We characterized circRNA-associated competitive endogenous RNA (ceRNA) networks in brain tissue of low folate -induced NTDs mouse at embryonic day 13.5 by high-throughput sequencing. The expression levels of Circzfp644, miR-20-5p and Gas7 were detected by RT-PCR. Gas7 and Circzfp644 functions were determined by miRNA-mimics and inhibitors in mouse teratocarcinoma cells (F9 cells), and luciferase gene reporter assay was assessed in the F9 cells. In addition, the expression levels of Circzfp644, miR-20-5p and Gas7 were determined by Nanostring in human NTDs tissues. RESULTS: We detected 57 circRNA transcripts, 16 miRNAs, and 148 mRNAs that were significantly dysregulated in NTDs brain tissues compared with their expression levels in control (normal) tissues. Circzfp644 shared miRNA response elements with the growth arrest specific 7 ( Gas7) gene and competitively bound with miR-20-5p to increase the expression of Gas7. Downregulation of Circzfp644 and Gas7 and upregulation of miR-20-5p were found in human NTD tissue. CONCLUSION This study provides new perspectives on the role of circRNAs in nervous system development and the pathogenesis of NTDs.
Humans ; Animals ; Mice ; RNA, Circular/genetics* ; MicroRNAs/metabolism* ; Down-Regulation ; Neural Tube Defects/genetics* ; Folic Acid