ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

OBJECTIVE: The aim of this study is to explore the clinical efficacy and safety of endocrinotherapy combined with Shenqi Pills on hormone-sensitive prostate cancer (HSPC). METHODS: Eighty patients who were diagnosed with HSPC and renal-yang deficiency at the First Affiliated Hospital of Hunan University of Traditional Chinese Medicine and the Hospital of Traditional Chinese Medicine of Mayang Miao Autonomous County from 1st April 2021 to 30th April 2024 were randomly divided into 2 groups. The patients in the control group were treated with androgen deprivation therapy (ADT). And the patients in treatment group were treated with Shenqi Pills orally on the basis of the control group. The baseline data of the two groups were analyzed. After 36 months of treatment, the differences between the two groups were compared in terms of overall survival (OS), prostate-specific antigen (PSA) level, PSA response rate, Functional Assessment Scale for Prostate Cancer Therapy (FACT-P), Chinese medicine evidence scores, testosterone level and safety. RESULTS: A total of 80 study subjects were included in this study, including 42 cases in the treatment group and 38 cases in the control group. There was no statistical difference in the baseline data between the two groups before treatment (P>0.05). At the end of the observation period, a statistically significant difference in OS was found in the treatment group compared to the control group in the subgroup of patients with a disease duration ranged of 0-6 months (P<0.05). There was no statistically significant difference in PSA levels in the treatment group at 3 months (P>0.05). And the differences in the proportion of PSA50 (98.1% vs 91.4%), PSA90 (92.9% vs 84.6%) and the proportion of decrease in PSA (56.7% vs 33.8%) in the treatment group were found compared to those in the control group after 6 months of tre atment. After 12 months of treatment, the scores of FACT-4 and renal-yang deficiency in the treatment group were (95.28±7.93) and (15.73±5.70) respectively, compared to the scores in the control group (［85.46±10.12］ and ［18.20±4.27］ (P<0.05). However, there was no significant difference in serum testosterone (［0.60±0.24］ nmol/L vs ［1.09±2.10］ nmol/L) between the two groups (P>0.05). After 24 months of treatment, there were significant differences in in the FACT-4 total score (［97.95±7.54］ vs ［80.33±8.58］), renal-yang deficiency syndrome score (［14.64±5.15］ vs ［24.94±8.75］) between the treatment group and the control group (P<0.05). However, there was no significant difference in serum testosterone ( ［0.73±1.01］ nmol/L vs ［0.59±0.25］ nmol/L) between the two groups (P> 0.05). Better therapeutic results were showed in the treatment group in terms of total FACT-P score, physical situation score, social and family situation score, emotional state score, functional state score, additional score and renal-yang deficiency symptom score (P<0.05). After treatment, there was no serious adverse reaction in the course of treatment, and no obvious abnormality was found in the liver and kidney function of the patients from two groups. CONCLUSION Endocrinotherapy combined with Shenqi Pills is safe and effective in HSPC and can reduce the risk of death in HSPC patients, and the earlier the intervention, the longer the overall survival of the patients. In addition, this treatment regimen can increase the PSA response rate, improve patients' quality of life, and reduce the renal-yang deficiency syndrome score without the risk of elevating serum testosterone levels.
Humans ; Male ; Drugs, Chinese Herbal/therapeutic use* ; Prostatic Neoplasms/drug therapy* ; Androgen Antagonists/therapeutic use* ; Prostate-Specific Antigen/blood* ; Aged ; Middle Aged ; Treatment Outcome ; Testosterone

Apical microsurgery is accurate and minimally invasive, produces few complications, and has a success rate of more than 90%. However, due to the lack of awareness and understanding of apical microsurgery by dental general practitioners and even endodontists, many clinical problems remain to be overcome. The consensus has gathered well-known domestic experts to hold a series of special discussions and reached the consensus. This document specifies the indications, contraindications, preoperative preparations, operational procedures, complication prevention measures, and efficacy evaluation of apical microsurgery and is applicable to dentists who perform apical microsurgery after systematic training.
Microsurgery/standards* ; Humans ; Apicoectomy ; Contraindications, Procedure ; Tooth Apex/diagnostic imaging* ; Postoperative Complications/prevention & control* ; Consensus ; Treatment Outcome

The prevalence of Class III malocclusion varies among different countries and regions. The populations from Southeast Asian countries (Chinese and Malaysian) showed the highest prevalence rate of 15.8%, which can seriously affect oral function, facial appearance, and mental health. As anterior crossbite tends to worsen with growth, early orthodontic treatment can harness growth potential to normalize maxillofacial development or reduce skeletal malformation severity, thereby reducing the difficulty and shortening the treatment cycle of later-stage treatment. This is beneficial for the physical and mental growth of children. Therefore, early orthodontic treatment for Class III malocclusion is particularly important. Determining the optimal timing for early orthodontic treatment requires a comprehensive assessment of clinical manifestations, dental age, and skeletal age, and can lead to better results with less effort. Currently, standardized treatment guidelines for early orthodontic treatment of Class III malocclusion are lacking. This review provides a comprehensive summary of the etiology, clinical manifestations, classification, and early orthodontic techniques for Class III malocclusion, along with systematic discussions on selecting early treatment plans. The purpose of this expert consensus is to standardize clinical practices and improve the treatment outcomes of Class III malocclusion through early orthodontic treatment.
Humans ; Malocclusion, Angle Class III/classification* ; Orthodontics, Corrective/methods* ; Consensus ; Child

Patients with periodontal disease often require combined periodontal-orthodontic interventions to restore periodontal health, function, and aesthetics, ensuring both patient satisfaction and long-term stability. Managing these patients involving orthodontic tooth movement can be particularly challenging due to compromised periodontal soft and hard tissues, especially in severe cases. Therefore, close collaboration between orthodontists and periodontists for comprehensive diagnosis and sequential treatment, along with diligent patient compliance throughout the entire process, is crucial for achieving favorable treatment outcomes. Moreover, long-term orthodontic retention and periodontal follow-up are essential to sustain treatment success. This expert consensus, informed by the latest clinical research and practical experience, addresses clinical considerations for orthodontic treatment of periodontal patients, delineating indications, objectives, procedures, and principles with the aim of providing clear and practical guidance for clinical practitioners.
Humans ; Consensus ; Orthodontics, Corrective/standards* ; Periodontal Diseases/complications* ; Tooth Movement Techniques/methods* ; Practice Guidelines as Topic

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*

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Background The active metabolite of benzo[a]pyrene (BaP), 7,8-dihydroxy-9,10-epoxybenzo[a]pyrene (BPDE), can form adducts with DNA, but the spectrum of BPDE-DNA adducts is unclear. Objective To identify the distribution of BPDE adduct sites and associated genes at the whole-genome level by chromatin immunoprecipitation followed by sequencing (ChIP-Seq), and serve as a basis for further exploring the toxicological mechanisms of BaP. Methods Human bronchial epithelial-like cells (16HBE) were cultured to the fourth generation inthe logarithmic growth phase. Cells were harvested and added to chromatin immunoprecipitation lysis buffer. The lysate was divided into experimental and control groups. The experimental group received a final concentration of 20 μmol·L⁻¹ BPDE solution, while the control group received an equivalent volume of dimethyl sulfoxide solution. The cells were then incubated at 37 °C for 24 h. Chromatin fragments of 100-500 bp were obtained through sonication. BPDE-specific antibody (anti-BPDE 8E11) was used to enrich DNA fragments with BPDE adducts. High-throughput sequencing was conducted to detect BPDE adduct sites. The top 1000 peak sequences were subjected to motif analysis using MEME and DREME software. BPDE adduct target genes at the whole-genome level were annotated, and Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of BPDE adduct target genes were conducted using bioinformatics techniques. Results The high-throughput sequencing detected a total of 842 BPDE binding sites, distributed across various chromosomes. BPDE covalently bound to both coding and non-coding regions of genes, with 73.9% binding sites located in intergenic regions, 19.6% in intronic regions, and smaller proportions in upstream 2 kilobase, exonic, downstream 2 kilobase, and 5' untranslated regions. Regarding the top 1000 peak sequences, four reliable motifs were identified, revealing that sites rich in adenine (A) and guanine (G) were prone to binding. Through the enrichment analysis of binding sites, a total of 199 BPDE-adduct target genes were identified, with the majority located on chromosomes 1, 5, 7, 12, 17, and X. The GO analysis indicated that these target genes were mainly enriched in nucleic acid and protein binding, participating in the regulation of catalytic activity, transport activity, translation elongation factor activity, and playing important roles in cell division, differentiation, motility, substance transport, and information transfer. The KEGG analysis revealed that these target genes were primarily enriched in pathways related to cardiovascular diseases, cancer, and immune-inflammatory responses. Conclusion Using ChIP-Seq, 199 BPDE adduct target genes at genome-wide level are identified, impacting biological functions such as cell division, differentiation, motility, substance transport, and information transfer. These genes are closely associated with cardiovascular diseases, tumors, and immune-inflammatory responses.

Cryoablation therapy with explicit anti-tumor mechanisms and histopathological manifestations has a long history.A large number of clinical practice has shown that cryoablation therapy is safe and effective,making it an ideal tumor treatment method in theory.Previously,its efficacy and clinical application were constrained by the limitations of refrigerants and refrigeration equipment.With the development of the new generation of cryoablation equipment represented by argon helium knives,significant progress has been made in refrigeration efficien-cy,ablation range,and precise temperature measurement,greatly promoting the progression of tumor cryoablation technology.This consensus systematically summarizes the mechanism of cryoablation technology,indications for oral mucosal melanoma(OMM)cryotherapy,clinical treatment process,adverse reactions and management,cryotherapy combination therapy,etc.,aiming to provide reference for carrying out the standardized cryoablation therapy of OMM.

Objective To establish a scoring model for predicting the prognosis and drug sensitivity of colorectal cancer(CRC)based on the expression of disulfidptosis-related genes by bioinformatics analyses combined with the validation with CRC patient-derived organoids(CRC-PDOs).Methods NMF(non-negative Matrix Factorization)algorithm,Cox and LASSO regression analyses were used to identify disulfidptosis-related genes with predictive value for CRC prognosis,and disulfidptosis-related risk scoring formula was constructed.The differential genes and enrichment pathways among different clusters were analyzed by GO(Gene Ontology)and KEGG(Kyoto Encyclopedia of Genes and Genomes).The sensitivity of the high/low-risk clusters of CRC patients to chemotherapy drugs was predicted using the GDSC database and validated using CRC-PDOs.Results The results of NMF algorithm showed that CRC patients could be grouped into two clusters based on the disulfidptosis-related genes.COX regression analysis demonstrated that LRPPRC and SLC7A11 were the only two genes with significance to predict the prognosis of CRC patients(P=0.047,0.033).Low expression of SLC7A11 or high expression of LRPPRC in tumors of CRC patients was significantly correlated with overall survival(OS)(P=0.004,0.003).Based on LASSO regression analysis,the mortality risk scoring formula for disulfidptosis was as follows:Risk score=LRPPRC×(-0.670 5)+SLC7A11×0.311 2,and the GSE161158 dataset could be re-grouped into high-risk and low-risk clusters accordingly.There were 125 differentially expressed genes(DEGs)between the two clusters.According to the GO and KEGG results,the up-regulated genes in high-risk cluster were mainly enriched in immune regulation,such as leukocyte chemotaxis,granulocyte migration and toll-like receptor binding.Low-risk cluster was characterized by pathways associated with sulfide metabolism,such as sulfur compound transmembrane transporter activity.Based on the GDSC database,the expression level of SLC7A11 and LRPPRC could predict chemotherapy drug sensitivity.As a representative,the efficacy of chemotherapy drug(irinotecan)on inhibiting the growth of CRC-PDOs was shown to be linearly correlated with the relative gene expression levels of SLC7A11 and LRPPRC in CRC tissues of patients(P=0.007,0.040).Conclusion According to the results based on the bioinformatics analyses and drug sensitivity testing on CRC-PDOs,disulfidptosis risk score could predict the prognosis and drug sensitivity of CRC patients,with potential clinical application prospect.