ObjectiveTo observe the short-term and long-term efficacy of traditional Chinese medicine （TCM） surgical operations in treating mixed hemorrhoids. MethodsA multi-center retrospective cohort study was conducted， collecting clinical data from 17，831 mixed hemorrhoid surgery patients in 8 top-tier TCM hospitals in Jiangsu Province. Standardized and structured datasets were obtained through artificial intelligence models. Patients who underwent western surgical treatment were categorized into the western surgery group （11,646 cases）， and those receiving TCM surgical operations were categorized into the TCM surgery group （6185 cases）. Propensity score matching （1∶1 matching） was used to balance baseline data between groups. The primary outcome was the one-year recurrence rate， and secondary outcomes included the main symptoms （rectal bleeding， degree of prolapse） and secondary symptoms （anal distension， anal edema， wound secretion and exudation， anal stenosis， residual skin tags， perianal itching， and anal pain） measured on days 7， 28， and 60 after discharge. ResultsAfter matching， 2194 patients were included in each group. Symptom scores showed that at 28 days after discharge， the TCM surgical group had superior improvement in rectal bleeding ［OR=5.786， 95%CI （3.092，10.827）］， degree of prolapse ［OR=4.510， 95%CI （1.649，12.333）］， and anal edema ［OR=3.188， 95%CI （1.295，7.845）］ compared to the western surgical group. At 60 days post-discharge， the TCM group still showed advantages in improving rectal bleeding ［OR=5.237， 95%CI （1.077，25.464）］ and anal pain ［OR=11.697， 95%CI （1.186，115.336）］ （P＜0.05）. Long-term follow-up showed that the one-year recurrence rate in the TCM surgery group was 1.1% （8/726）， while that in the western surgery group was 2.3% （10/444）， with no statistically significant difference between the two groups （P＞0.05）. ConclusionBased on real-world data， TCM surgical treatment for mixed hemorrhoids shows significant short-term symptom improvement， particularly in terms of hemostasis， reducing swelling， and alleviating prolapse of anal masses.

Objective To explore the functional impact of A-to-I editing in the seed region of miR-411 during post-myocardial infarction (MI) fibrosis and elucidate its therapeutic potential. Methods Integrating GEO database with myocardial RNA-seq data from MI mouse models, we identified dynamic A-to-I RNA editing in small noncoding RNAs across MI progression (1 day to 8 weeks post-MI). Four miRNAs exhibited differential editing rates between MI and controls, with miR-411 showing progressive editing enhancement at seed region position 4 (P＜0.01). This editing event was validated in both murine MI models and human heart failure specimens. Results The A-to-I editing ratio change of the 4th nucleotide in the seed region of miR-411 mainly occurs in cardiac fibroblasts rather than cardiomyocytes, and the editing at this site depends on ADAR2 rather than ADAR1. Edited miR-411 (ED-miR-411) diverged from wild-type miR-411 (WT-miR-411) in suppressing collagen-related pathways (extracellular matrix [ECM]-receptor interaction, collagen-containing ECM, ECM organization; P＜0.01) in cardiac fibroblasts. Mechanistically, dual-luciferase assays confirmed ED-miR-411 directly targeted the 3′UTR and suppressed expression of type Ⅱ transforming growth factor (TGF)-beta receptor (TGFBR2) and CD44, which were key drivers of TGF-β-mediated fibroblast activation. ED-miR-411 overexpression blunted TGF-β-induced collagen synthesis and myofibroblast proliferation (P＜0.05). In vivo, intramyocardial delivery of ED-miR-411 mimics at 1 week post-MI reduced fibrosis by 40% and improved ejection fraction by 15% (P＜0.01 vs controls), whereas WT-miR-411 showed no therapeutic effect. Conclusions A-to-I editing of miR-411 emerges as an endogenous anti-fibrotic mechanism by repressing TGFBR2 and CD44, thereby disrupting TGF-β signaling and ECM dysregulation. Our findings highlight ED-miR-411 as a novel RNA-based therapeutic candidate to mitigate post-infarction cardiac remodeling.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

Chikungunya virus (CHIKV), which is primarily transmitted by Aedes aegypti and Ae. albopictus, has recently rapidly spread across the world, which poses a huge threat to public health. Chikungunya fever (CHIKF), caused by CHIKV infection, typically manifests as acute febrile illness with severe polyarthralgia that may persist for months to years. A few severe CHIKF cases may be accompanied by serious neurological complications, even resulting in death. The accelerating global expansion of CHIKV is closely associated with genetic variations of the virus, and mutated genes in CHIKV may augment the virus adaptability to Aedes vectors and transmission efficiency. Currently, the diagnosis of the CHIKV infection primarily relies on molecular and serological assays; however, there are still multiple challenges for early and differential diagnosis of CHIKV infections due to co-infections with arboviruses and nonspecific early symptoms. The first prophylactic vaccine for CHIKF has been recently approved in the United States; however, the large-scale application still awaits further validations. More importantly, there are no licensed antiviral therapies against CHIKV until now. This review describes the structure and pathogenesis of CHIKV, summarizes the latest epidemiology and advances in the diagnosis of CHIKV infections, and depicts the current status and prospects of antiviral agents and vaccine development, so as to inform evidence-based prevention and control strategies.

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

Stem cells play a crucial role in maintaining tissue regenerative capacity and homeostasis. However, mechanisms associated with stem cell senescence require further investigation. In this study, we conducted a proteomic analysis of human dental pulp stem cells (HDPSCs) obtained from individuals of various ages. Our findings showed that the expression of NUP62 was decreased in aged HDPSCs. We discovered that NUP62 alleviated senescence-associated phenotypes and enhanced differentiation potential both in vitro and in vivo. Conversely, the knocking down of NUP62 expression aggravated the senescence-associated phenotypes and impaired the proliferation and migration capacity of HDPSCs. Through RNA-sequence and decoding the epigenomic landscapes remodeled induced by NUP62 overexpression, we found that NUP62 helps alleviate senescence in HDPSCs by enhancing the nuclear transport of the transcription factor E2F1. This, in turn, stimulates the transcription of the epigenetic enzyme NSD2. Finally, the overexpression of NUP62 influences the H3K36me2 and H3K36me3 modifications of anti-aging genes (HMGA1, HMGA2, and SIRT6). Our results demonstrated that NUP62 regulates the fate of HDPSCs via NSD2-dependent epigenetic reprogramming.
Humans ; Dental Pulp/cytology* ; Nuclear Pore Complex Proteins/genetics* ; Cellular Senescence/genetics* ; Stem Cells/metabolism* ; Epigenesis, Genetic ; Cell Proliferation ; Cell Differentiation ; Histone-Lysine N-Methyltransferase/metabolism* ; Cells, Cultured ; Cellular Reprogramming ; Cell Movement ; Proteomics

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*

Objective:To investigate the current status of nutritional support specialist nurses' knowledge, attitude and practice about nutrition nursing practice and analyze their influencing factors, so as to provide reference for optimizing and improving the level of nutritional support specialist nurses' knowledge, attitude and practice, and constructing a training program for nutritional support specialist nurses.Methods:From October to November 2023, 557 nutritional support specialist nurses in 28 provinces, autonomous regions, and municipalities directly under the central government of China were selected for the survey using the convenience sampling method. General information questionnaire and Nutrition Nursing Practice Knowledge, Attitude and Practice Questionnaire were used to conduct the survey. Multiple linear regression was used to explore the influencing factors of knowledge, attitude and practice.Results:A total of 557 questionnaires were distributed and 507 questionnaires were effectively recovered, with an effective recovery rate of 91.0%. The nutrition nursing practice knowledge dimension scores, attitude dimension scores, and practice dimension scores of 507 nutritional support specialist nurses were 30.00 (28.00, 31.00) , 47.00 (41.00, 50.00) , (22.65±6.77) , respectively. Multiple linear regression analyses showed that education was an influencing factor in the knowledge dimension of nutrition nursing practice among nutritional support nurse specialists ( P<0.05) ; title, hospital level, and years of experience as a nutritional support nurse specialist were influencing factors in the attitude dimension of nutrition nursing practice ( P<0.05) . Conclusions:Nutritional support specialist nurses have a good knowledge base of nutrition nursing practice and a positive attitude, but their practices need to be further improved. Knowledge, attitude, and practice are affected by multiple factors such as education, title, hospital level, and number of years in the professional field. In the process of nurse specialist training, managers should pay attention to the learning needs of nurses at different levels, carry out targeted training, establish a standard workflow for nurse specialists, and emphasize the construction of talents in primary hospitals, so as to promote the high-quality development of nutrition support specialist nurses.

The participation of nurses in nutritional screening and assessment is not only the foundation for achieving full coverage of nutritional screening and assessment for hospitalized patients, but also an important guarantee for preventing and improving adverse clinical outcomes in hospitalized patients. Nurses should start by distinguishing between the concepts of nutritional screening and nutritional assessment, selecting patient-appropriate nutritional screening and assessment tools, and accurately timing nutritional screening and assessment to correctly perform nutritional screening and assessment. At the same time, nurses have a unique role and value in identifying nutritional risks in hospitalized patients, performing nutritional screening and assessment, and multidisciplinary nutritional diagnosis and treatment. Although nurses face many challenges in practice, they can address these challenges through artificial intelligence empowerment, the development of nutritional screening and assessment standard processes, the provision of health education to assist patients in self-management, and the establishment of training systems.

Objective:To develop and validate a combined model integrating radiomics, dosiomics, and clinical parameters based on CT simulation and dosimetric images in order to predict the occurrence of radiation pneumonitis (RP) in patients with non-small cell lung cancer (NSCLC).Methods:A retrospective study was conducted on the clinic data of 143 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022. Patients were randomly stratified into a training group ( n = 100) and an internal validation group ( n = 43) at a 7∶3 ratio. Moreover, clinic data were collected from 34 NSCLC patients who received radiotherapy at the Jining Cancer Hospital between January 2019 and December 2022 as an external validation group. All three groups (the training group, internal validation, and external validation groups) were further categorized into two groups based on the RP severity (i.e., RP ≥ grade 2 and RP < grade 2). Their radiotherapy dose, CT simulation, and 3D dose distribution images were collected. Then, the total lung minus planning target volume (TL-PTV) was defined as the region of interest (ROI) for radiomics and dosiomic feature extraction, followed by feature dimensionality reduction. Consequently, key features associated with RP were determined. Four predictive models were developed using machine learning approaches (especially multilayer perceptron, MLP): a clinical model (CM), a radiomics model (RM), a dosiomics model (DM), and a radiomics and dosiomics nomogram (RDN), with a nomogram subsequently constructed. Ultimately, the performance and clinical feasibility of these models were assessed using receiver operating characteristic (ROC), area under the curve (AUC), and decision curve analysis (DCA). Results:A total of 1 834 radiomic features and 1 834 dosiomic features were extracted. Using the occurrence of RP ≥ grade 2 as the marker variable, 14 radiomic features, 15 dosiomic features, and three clinical features were selected from the training group to construct the prediction models (CM, RM, DM, and RDN). The performance and generalizability of these models were subsequently validated in both the internal validation and external validation groups. Specifically, the RDN exhibited AUCs of 0.915 (95% CI: 0.852-0.978), 0.879 (95% CI: 0.777-0.982), and 0.838 (95% CI: 0.701-0.975) in the three groups, respectively. A nomogram was established for RDN by integrating the radiomics score (R-score), dosiomics score (D-score), mean lung dose (MLD), V20, and V30. This nomogram allowed for individualized risk estimation of RP and facilitated personalized radiotherapy planning. Conclusions:The RDN model that is developed based on CT simulation and 3D dose distribution images and integrates radiomics, dosiomics, and clinical features can effectively predict the RP risk of NSCLC patients. The integration of multidimensional data contributes to the formation of the optimal predictive model, offering guidance for clinicians.