Objective To evaluate the role of distortion product otoacoustic emissions (DPOAE) testing in evaluating early hearing loss among noise-exposed workers. Methods A total of 174 noise-exposed workers in a metal shipbuilding enterprise were selected as the research subjects by the convenience sampling method. Pure tone audiometry (PTA), DPOAE and the level of noise exposure were conducted on the workers. The rank correlation analysis was used to analyze the correlation between DPOAE amplitude and PTA threshold. The multilevel model was used to analyze the effects of gender, age, noise exposure intensity, cumulative noise exposure (CNE), hearing loss classification and PTA threshold on DPOAE results. Results At the frequencies of 0.50, 1.00, 2.00, 3.00, 4.00, 6.00 and 8.00 kHz, the DPOAE amplitude was negatively correlated with the PTA threshold (rank correlation coefficients were -0.12, -0.48, -0.47, -0.18, -0.23, -0.44, -0.19, respectively, all P<0.01). At the most frequencies, DPOAE amplitude was negatively correlated with age and CNE (all P<0.05). The results of multilevel model analysis showed that there were significant differences in DPOAE amplitudes at certain frequencies across gender, age, noise intensity, CNE, and hearing loss classification (all P<0.05). Significant differences in DPOAE responses were found among different CNE and hearing loss groups (all P<0.01). Conclusion DPOAE testing can objectively reflect the hearing status of noise-exposed workers and could be considered for inclusion in routine hearing monitoring to facilitate early detection of noise-induced hearing loss.

OBJECTIVE: To explore, identify, and develop novel blood-based indicators using machine learning algorithms for accurate preoperative assessment and effective prediction of postoperative complication risks in patients with rheumatoid arthritis (RA) undergoing total knee arthroplasty (TKA). METHODS: A retrospective cohort study was conducted including RA patients who underwent unilateral TKA between January 2019 and December 2024. Inpatient and 30-day postoperative outpatient follow-up data were collected. Six machine learning algorithms, including decision tree, random forest, logistic regression, support vector machine, extreme gradient boosting, and light gradient boosting machine, were used to construct predictive models. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), F1-score, accuracy, precision, and recall. SHapley Additive exPlanations (SHAP) values were employed to interpret and rank the importance of individual variables. RESULTS: According to the inclusion criteria, a total of 1 548 patients were enrolled. Ultimately, 18 preoperative indicators were identified as effective predictive features, and 8 postoperative complications were defined as prediction labels for inclusion in the study. Within 30 days after surgery, 453 patients (29.2%) developed one or more complications. Considering overall accuracy, precision, recall, and F1-score, the random forest model [AUC=0.930, 95% CI (0.910, 0.950)] and the extreme gradient boosting model [AUC=0.909, 95% CI (0.880, 0.938)] demonstrated the best predictive performance. SHAP analysis revealed that anti-cyclic citrullinated peptide antibody, C-reactive protein, rheumatoid factor, interleukin-6, body mass index, age, and smoking status made significant contributions to the overall prediction of postoperative complications. CONCLUSION Machine learning-based models enable accurate prediction of postoperative complication risks among RA patients undergoing TKA. Inflammatory and immune-related blood biomarkers, such as anti-cyclic citrullinated peptide antibody, C-reactive protein, and rheumatoid factor, interleukin-6, play key predictive roles, highlighting their potential value in perioperative risk stratification and individualized management.
Humans ; Arthroplasty, Replacement, Knee/adverse effects* ; Arthritis, Rheumatoid/blood* ; Machine Learning ; Postoperative Complications/blood* ; Female ; Male ; Retrospective Studies ; Middle Aged ; Aged ; Risk Factors ; Preoperative Period ; C-Reactive Protein/analysis* ; Risk Assessment

Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans ; Chemoradiotherapy/adverse effects* ; Consensus ; Risk Factors ; Stomatitis/etiology*

Lipopolysaccharides (LPS) are major outer membrane components of Gram-negative bacteria. Unlike most Gram-negative bacteria, Acinetobacter baumannii can still survive and acquire polymyxin resistance after complete loss of LPS. Previous studies of LPS-deficient Acinetobacter baumannii mostly focused on LPS-deficient strains induced by polymyxin, whose background was complex and unstable. To investigate LPS loss-mediated polymyxin resistant-Acinetobacter baumannii, this study constructed a stable and clear background LPS-deficient strain by knocking out lpxC gene in Acinetobacter baumannii ATCC 19606 with CIRSPR/Cas9, and then studied the phenotypic changes of the lpxC-deficient strain including morphology, growth rate, antibiotic susceptibility, virulence, membrane permeability, and membrane potential. Animal experiments were approved by the Animal Care and Welfare Committee Institute of Medicinal Biotechnology, CAMS and PUMC (approval number: IMB-20240119D₉). The results indicated that the lpxC gene of Acinetobacter baumannii ATCC 19606 was successfully knocked out. After losing the lpxC, the strain underwent the morphological change from rod-shaped to spherical. Furthermore, it leads to reduced growth rate, enhanced membrane permeability, decreased membrane potential, lower virulence, and increased antibiotic susceptibility to β-lactams, quinolones, aminoglycosides, macrolides, glycopeptides. The lpxC deletion results in significant changes in membrane homeostasis and adaptability of Acinetobacter baumannii. Understanding the phenotypic changes of colistin-resistant Acinetobacter baumannii mediated by LPS loss is useful for exploring the resistance mechanism of Acinetobacter baumannii and developing new therapeutic strategies.

Outer membrane vesicles (OMVs) are nanoscale vesicles secreted by Gram-negative bacteria. As a unique bacterial secretion, OMV secretion can help bacteria maintain the outer membrane stability or remove harmful substances. Studies have shown that local separation of outer membrane and peptidoglycan layers led by abnormalities in outer membrane protein function, abnormal structure or excessive accumulation of LPS, and erroneous accumulation of phospholipids in the outer leaflet, which can all lead to bacterial outer membrane protrusion and eventually bud formation of OMVs. Since OMVs are mainly composed of bacterial outer membrane and periplasmic components, the pathogen associated molecular patterns (PAMPs) on their surface can trigger strong immune responses. For example, OMVs can recruit and activate neutrophils, polarize macrophages to secrete large amounts of inflammatory factors. More importantly, OMVs can act as adjuvants to induce dendritic cell (DC) maturation to enhance adaptive immune response in the body. At the same time, OMVs are derived from bacteria, which make it easy to modify. The methods by genetic engineering and others can improve their tumor targeting, give them new functions, or reduce their immunotoxicity, which is conducive to their application in tumor therapy. OMVs not only induce apoptosis or pyroptosis of tumor cells, but also regulate the host immune system, which makes OMVs themselves have a certain killing effect on tumors. In addition, the tendency of neutrophils to inflammatory tumor sites and the formation of neutrophil extracellular traps enable OMVs to target tumor sites, and the suitable size and the characteristic that they are easily taken up by DCs give OMVs a certain lymphatic targeting ability. Therefore, OMVs are often employed as excellent drug or vaccine carriers in tumor therapy. This review mainly discusses the biological mechanism of OMVs, the regulatory effects of OMVs on immune cells, the functional modification strategies of OMVs, and their research progress in tumor therapy.

Objective:To investigate the safety and effectiveness of endoscopic retrograde cholangiopancreatography (ERCP) for the diagnosis and treatment of pediatric pancreaticobiliary maljunction (PBM).Methods:Data of 40 pediatric patients under 14 with PBM diagnosed and treated by ERCP at Department of Gastroenterology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School from November 2012 to September 2022 were collected. PBM types, ERCP-related diagnosis and treatment, adverse events and prognosis were retrospectively analyzed.Results:Nineteen cases were P-B type (joining of common bile duct with pancreatic duct), 17 were B-P type (joining of pancreatic duct with common bile duct), and 4 were complex type. Forty children with PBM underwent 50 ERCP-related operations, among which 48 procedures succeeded. One case failed during cannulation of ERCP, replaced by rendezvous-assisted endoscopic retrograde pancreatography (RV-ERP) afterwards. There were no serious postoperative adverse events such as bleeding, perforation or death. Thirty-four patients (85%) were followed up successfully, among which 14 underwent further surgery and 20 continued conservative treatment.Conclusion:ERCP is the golden standard to diagnose pediatric PBM, and it is also safe and effective treatment for PBM.

Objective:To evaluate the efficacy and safety of lenvatinib combined with camrelizumab as the second-line treatment for advanced intrahepatic cholangiocarcinoma (ICC).Methods:The clinical data of patients with advanced ICC undergoing the second-line treatment of lenvatinib combined with camrelizumab in the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University from June 2021 to June 2022 were screened and analyzed. A total of 12 patients were enrolled, including seven males and five females, aged (67.5±8.6) years. Response evaluation criteria in solid tumor 1.1 was used to evaluate the efficacy of treatment. The safety assessment adopts the Adverse Event Evaluation Standard 5.0. Kaplan-Meier method was conducted to plot survival curves.Results:Among the 12 patients (after 1-7 cycles of immune and targeted therapy), three achieved partial response, four achieved stable disease, and five were defined as progression disease. Adverse events of different degrees occurred in seven cases, among which three patients had adverse events of grade ≥ 3: one with hypertension, which was managed after antihypertensive and symptomatic treatment; one with elevated serum total bilirubin, which was improved after reducing the dose of lenvatinib; one with liver dysfunction, which was considered as immune-related liver toxicity and alleviated after discontinuing camrelizumab. The 1-month, 3-month, and 6-month survival rates and progression-free survival rates of the patients were 100.0%, 91.7%, 66.7%, and 83.3%, 41.7%, and 25.0%, respectively. The median overall survival of patients was 14.7 months (95% CI: 9.2-21.2) and the median time to progression was 8.0 months (95% CI: 4.1-11.9). Conclusion:Combination of lenvatinib and camrelizumab could bring survival benefits with controllable adverse events as the second-line treatment of patients with advanced ICC.

Ameloblastoma is a benign tumor characterized by locally invasive phenotypes,leading to facial bone destruction and a high recurrence rate.However,the mechanisms governing tumor initiation and recurrence are poorly understood.Here,we uncovered cellular landscapes and mechanisms that underlie tumor recurrence in ameloblastoma at single-cell resolution.Our results revealed that ameloblastoma exhibits five tumor subpopulations varying with respect to immune response(IR),bone remodeling(BR),tooth development(TD),epithelial development(ED),and cell cycle(CC)signatures.Of note,we found that CC ameloblastoma cells were endowed with stemness and contributed to tumor recurrence,which was dominated by the EZH2-mediated program.Targeting EZH2 effectively eliminated CC ameloblastoma cells and inhibited tumor growth in ameloblastoma patient-derived organoids.These data described the tumor subpopulation and clarified the identity,function,and regulatory mechanism of CC ameloblastoma cells,providing a potential therapeutic target for ameloblastoma.

Objective:To explore the effectiveness and safety of endoscopic ultrasound-guided pancreatic duct drainage (EUS-PD).Methods:A retrospective analysis was conducted on data of 16 patients who underwent EUS-PD because of endoscopic retrograde pancreatography (ERP) failure, poor effectiveness or anatomical changes and couldn't undergo the routine ERP in Nanjing Drum Tower Hospital from June 2018 to July 2022. The technical success of EUS-PD, clinical efficacy and post-procedure adverse events were analyzed.Results:In the 16 patients, there were 14 males and 2 females, with age of 50.69±12.95 years. A total of 19 times of EUS-PD operations were included, 3 of them were rendezvous-assisted endoscopic retrograde pancreatography (RV-ERP), 15 transgastric or transenteric EUS-guided stent placement and 1 was EUS-guided nasopancreatic duct placement. Technical success was achieved in 84.21% (16/19) patients, and among whom 93.75% (15/16) achieved clinical success. The overall incidence of postoperative adverse events was 52.63% (10/19) including 47.37% (9/19) abdominal pain, 15.79% (3/19) fever and 15.79% (3/19) postoperative pancreatitis. All adverse effects were relieved after general conservative treatment and no primary disease or surgery-related death occurred. The mean follow-up was 17.6 (8.2,22.3) months and 93.75% (15/16) of the patients were followed up. By the time of follow-up, 76.92% (10/13) of the patients who had successfully received EUS-PD had no recurrence of abdominal pain or distension.Conclusion:EUS-PD is a safe and effective alternative therapy for those with pancreatic diseases with ERP failure, poor efficacy or anatomical changes.

Dementia is a neurodegenerative disease closely related to brain network dysfunction. In this study, we assessed the interdependence between brain regions in patients with early-stage dementia based on phase-lock values, and constructed a functional brain network, selecting network feature parameters for metrics based on complex network analysis methods. At the same time, the entropy information characterizing the EEG signals in time domain, frequency domain and time-frequency domain, as well as the nonlinear dynamics features such as Hjorth and Hurst indexes were extracted, respectively. Based on the statistical analysis, the feature parameters with significant differences between different conditions were screened to construct feature vectors, and finally multiple machine learning algorithms were used to realize the recognition of early categories of dementia patients. The results showed that the fusion of multiple features performed well in the categorization of Alzheimer's disease, frontotemporal lobe dementia and healthy controls, especially in the identification of Alzheimer's disease and healthy controls, the accuracy of β-band reached 98%, which showed its effectiveness. This study provides new ideas for the early diagnosis of dementia and computer-assisted diagnostic methods.
Humans ; Electroencephalography/methods* ; Alzheimer Disease/physiopathology* ; Dementia/physiopathology* ; Early Diagnosis ; Algorithms ; Brain/physiopathology* ; Machine Learning ; Frontotemporal Dementia/physiopathology* ; Diagnosis, Computer-Assisted