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Multi-Task Deep Learning for Sex and Age Estimation from Panoramic Radiographs in a Brazilian Young Population 多任务深度学习在巴西年轻人口的全景x光片性别和年龄估计
IF 3.7 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Pub Date : 2026-01-27 DOI: 10.1016/j.identj.2025.109381
Matheus L. Oliveira , Su Yang , Matheus Sampaio-Oliveira , Deborah Queiroz Freitas , Francisco Haiter-Neto , Sang Heon Lim , Jiyong Han , Sujeong Kim , Jun-Min Kim , Won-Jin Yi , Min-Suk Heo

Introduction and aims

Accurate estimation of age and sex is crucial in forensic and clinical contexts, however conventional methods are subjective and time-consuming. Panoramic radiographs offer valuable data for automated analysis. Therefore, the aim of this study was to present and evaluate a multi-task deep learning framework based on ForensicNet for simultaneous estimation of chronological age and classification of sex using panoramic radiographs of the Brazilian young population aged 5-15 years.

Methods

A total of 2200 high-resolution panoramic radiographs were retrospectively collected, balanced by age and sex. After applying strict inclusion/exclusion criteria, the images were randomly split into training (1320), validation (440), and test (440) sets. A multi-task DL model based on EfficientNet-B3 was implemented with task-specific branches incorporating Convolutional Block Attention Modules (CBAM) to predict age and sex. The model was trained end-to-end using a weighted multi-task loss (α = 0.3 for age, β = 0.7 for sex) and evaluated against five benchmark architectures. Grad-CAM was used for model interpretability.

Results

The proposed ForensicNet outperformed all baseline models, achieving the lowest mean absolute error and highest coefficient of determination in age prediction, and highest accuracy and area under the curve in sex classification. Grad-CAM visualisations confirmed the model’s focus on anatomically relevant areas. Ablation studies showed that removing CBAM or altering task weights reduced performance.

Conclusions

The proposed ForensicNet-based multi-task deep learning model demonstrated robust performance in both chronological age estimation and sex classification using panoramic radiographs from young Brazilian individuals, supporting its potential forensic and clinical applicability.

Clinical relevance

This framework may assist forensic experts and clinicians by providing fast, objective and reproducible estimations of age and sex from routinely acquired panoramic radiographs, potentially improving identification processes in forensic and pediatric contexts.
在法医和临床环境中,准确估计年龄和性别是至关重要的,然而传统的方法是主观的和耗时的。全景x光片为自动化分析提供了有价值的数据。因此,本研究的目的是提出并评估一个基于法医网的多任务深度学习框架,该框架可使用巴西5-15岁年轻人的全景x线照片同时估计实足年龄和性别分类。方法回顾性收集2200张高分辨率全景x线片,按年龄、性别平衡。在应用严格的纳入/排除标准后,将图像随机分为训练集(1320)、验证集(440)和测试集(440)。基于EfficientNet-B3的多任务深度学习模型采用了包含卷积块注意模块(CBAM)的任务特定分支来预测年龄和性别。使用加权多任务损失(年龄α = 0.3,性别β = 0.7)对模型进行端到端训练,并对五个基准架构进行评估。采用Grad-CAM进行模型可解释性分析。结果该方法在年龄预测方面的平均绝对误差最小,确定系数最高,在性别分类方面的准确率和曲线下面积最高,优于所有基线模型。Grad-CAM可视化证实了该模型对解剖学相关区域的关注。消融研究表明,去除CBAM或改变任务权重会降低表现。基于法医网的多任务深度学习模型在使用巴西年轻人的全景x线照片进行实足年龄估计和性别分类方面表现出稳健的性能,支持其潜在的法医和临床适用性。该框架可以通过常规获得的全景x线片提供快速、客观和可重复的年龄和性别估计,从而帮助法医专家和临床医生,潜在地改善法医和儿科环境中的识别过程。
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引用次数: 0
Spatiotemporal Co-occurrence Patterns of Periodontitis and Oral Cancer: A Global Risk Factor and Network Analysis 牙周炎和口腔癌的时空共发模式:一个全球风险因素和网络分析
IF 3.7 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Pub Date : 2026-01-27 DOI: 10.1016/j.identj.2025.109394
Yu Xia , Jukun Song

Aim

To characterise global co-occurrence patterns of periodontal disease and oral cancer using Global Burden of Disease (GBD) 2021 data (1990–2021) and identify shared and condition-specific risk factors.

Methods

We analysed adult incidence (≥25 years) across 204 countries and 68 risk factors. Countries were classified by incidence quartiles as concordant, periodontal-dominant, or oral-cancer-dominant. Shapley Additive Explanations (SHAP) modelling, negative binomial regression, network analysis, and Granger causality testing were applied.

Results

In 2021, global Periodontitis incidence: 1740.92 per 100,000 population (males: 1746.63; females: 1735.63) far exceeded oral cancer (8.97 per 100,000 population (males: 11.81; females: 6.21). Of 204 countries, 72 countries (35.29%) were periodontal-dominant, 62 countries (30.39%) oral-cancer-dominant, and 70 countries (34.31%) concordant. High-burden clusters appeared in South/Southeast Asia, while Northern Europe and North America showed the lowest rates. Key oral cancer risks included tobacco chewing (risk ratio [RR] = 1.075, 95% CI: 1.053-1.096), iron deficiency (RR = 1.067, 95% CI: 1.002-1.136), and high alcohol use (RR = 1.019, 95% CI: 1.000-1.038). Primary periodontal risks were high systolic blood pressure (RR = 1.007), lead exposure (RR = 1.006), and processed meat consumption (RR = 1.006). Granger causality testing suggested potential temporal precedence of periodontal disease (F = 3.323, P = .020), though causal inference is limited by the ecological study design and potential unmeasured confounding.

Conclusions

Periodontal disease and oral cancer exhibit overlapping yet distinct global distributions. Shared exposures (tobacco, pollutants) drive comorbidity, while condition-specific risks necessitate tailored prevention. Integrated primary care approaches targeting modifiable risks could substantially reduce disease burden.
目的利用全球疾病负担(GBD) 2021数据(1990-2021年)表征牙周病和口腔癌的全球共发模式,并确定共同的和特定疾病的风险因素。方法我们分析了204个国家≥25岁的成人发病率和68个危险因素。国家按发病率四分位数分为和谐型、牙周癌为主型或口腔癌为主型。采用Shapley加性解释(SHAP)模型、负二项回归、网络分析和格兰杰因果检验。结果2021年,全球牙周炎发病率为1740.92 / 10万人(男性:1746.63;女性:1735.63),远高于口腔癌发病率(8.97 / 10万人(男性:11.81;女性:6.21)。在204个国家中,72个国家(35.29%)为牙周病为主,62个国家(30.39%)为口腔癌为主,70个国家(34.31%)为和谐型。高负担聚集性病例出现在南亚/东南亚,而北欧和北美的发病率最低。口腔癌的主要危险因素包括嚼烟(危险比[RR] = 1.075, 95% CI: 1.053-1.096)、缺铁(RR = 1.067, 95% CI: 1.002-1.136)和大量饮酒(RR = 1.019, 95% CI: 1.000-1.038)。主要牙周危险因素为高收缩压(RR = 1.007)、铅暴露(RR = 1.006)和加工肉类消费(RR = 1.006)。格兰杰因果检验提示牙周病的潜在时间优先性(F = 3.323, P = 0.020),尽管因果推断受到生态研究设计和潜在未测量混杂因素的限制。结论牙周病与口腔癌在全球范围内的分布既有重叠又有差异。共同接触(烟草、污染物)会导致合并症,而针对具体情况的风险则需要有针对性的预防。针对可改变风险的综合初级保健方法可大大减轻疾病负担。
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引用次数: 0
Photodynamic Therapy Plus Topical Corticosteroid for Erosive Oral Lichen Planus: A Randomized Clinical Trial 光动力疗法加局部皮质类固醇治疗糜烂性口腔扁平苔藓:一项随机临床试验。
IF 3.7 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Pub Date : 2026-01-24 DOI: 10.1016/j.identj.2025.109392
Zhenyuan Wang , Ruru Shao , Junjun Chen , Yiwen Deng , Guanhuan Du , Guoyao Tang

Introduction and aims

Erosive oral lichen planus (E-OLP) is a chronic inflammatory condition that poses a therapeutic challenge due to its recurrent nature and potential for malignant transformation. This study aims to evaluate the efficacy and safety of methylene blue-mediated photodynamic therapy (MB-PDT) combined with topical corticosteroid in treating E-OLP.

Methods

This single-centre, single-blinded, randomized, controlled trial was performed from March 2024 to August 2025. A total of 74 patients with E-OLP were randomly assigned to the MB-PDT group (n = 37) receiving MB-PDT plus 0.1% triamcinolone acetonide (TA) and the TA group (n = 37) treating with topical TA alone. The primary outcome was the clinical efficacy rate between the two groups.

Results

After 4 weeks of treatment, the clinical efficacy rate was significantly higher in the MB-PDT group than in the TA group (P = .006). Change in the Numeric Rating Scale scores were significantly greater in the MB-PDT group compared to the TA group consistently from week 4 to week 12 (P < .01). The recurrence rate was also significantly lower in MB-PDT group compared to TA group at the 12-week follow-up (P = .038). No adverse events were observed during and after treatment.

Conclusion

MB-PDT combined with topical corticosteroid appears to be a safe and effective therapeutic approach for E-OLP, with findings suggesting superior pain relief, lesion healing, and reduced recurrence compared with topical corticosteroid.

Clinical relevance

This combination therapy is expected to become a promising management option for patients with E-OLP, with potential to improve long-term disease control and quality of life.
简介和目的:糜烂性口腔扁平苔藓(E-OLP)是一种慢性炎症性疾病,由于其复发性和潜在的恶性转化,给治疗带来了挑战。本研究旨在评价亚甲基蓝介导的光动力疗法(MB-PDT)联合外用皮质类固醇治疗E-OLP的疗效和安全性。方法:本研究于2024年3月至2025年8月进行单中心、单盲、随机对照试验。74例E-OLP患者随机分为MB-PDT联合0.1%曲安奈德(TA)治疗组(37例)和单纯局部TA治疗组(37例)。主要观察指标为两组患者的临床有效率。结果:治疗4周后,MB-PDT组临床有效率显著高于TA组(P = 0.006)。从第4周到第12周,MB-PDT组的数值评定量表得分的变化明显大于TA组(P < 0.01)。随访12周,MB-PDT组复发率明显低于TA组(P = 0.038)。治疗期间和治疗后均无不良事件发生。结论:MB-PDT联合外用皮质类固醇似乎是一种安全有效的治疗E-OLP的方法,与外用皮质类固醇相比,研究结果表明,与外用皮质类固醇相比,MB-PDT具有更好的疼痛缓解、病灶愈合和复发减少的特点。临床意义:这种联合治疗有望成为E-OLP患者的一种有希望的治疗选择,具有改善长期疾病控制和生活质量的潜力。
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引用次数: 0
MIR31HG Promotes the Onset and Progression of Peri-Implantitis by Regulating the miR-641 Levels MIR31HG通过调节miR-641水平促进种植体周围炎的发生和发展。
IF 3.7 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Pub Date : 2026-01-24 DOI: 10.1016/j.identj.2025.109375
Mingyuan Wang , Jiuyu Gao

Objective

Peri-implantitis (PI) is the primary cause of implant failure. Long noncoding RNA MIR31HG is highly expressed in PI. This study aims to investigate the clinical value and potential regulatory mechanisms of MIR31HG in PI.

Methods

The study included 112 patients with PI. RT-qPCR assessed MIR31HG and miR-641 expression levels in patients and cells; it also evaluated the mRNA expression of inflammatory factors TNF-α, IL-6, IL-1β and osteogenic markers ALP, OCN and OPN in cells. Cell proliferation capacity was evaluated using the CCK-8 assay. Apoptosis was detected via flow cytometry. The DLR assay examined the binding relationship between MIR31HG and miR-641. Logistic regression analysed independent factors influencing PI prognosis. GO and KEGG analyses identified potential signaling pathways involving miR-641 target genes.

Results

MIR31HG expression was significantly upregulated in PI patients, while miR-641 was downregulated. MIR31HG also serves as a risk factor for poor prognosis in PI patients. MIR31HG negatively regulates miR-641 expression. Following MIR31HG knockdown, miR-641 expression increased, leading to reduced apoptosis, enhanced proliferation, decreased inflammatory factor levels and markedly elevated levels of osteogenic differentiation biomarkers. Inversely, inhibition of miR-641 significantly reversed these changes. miR-641 target genes may participate in mTOR and Ras signaling pathways to influence PI progression.

Conclusion

MIR31HG modulates gingival mesenchymal stem cells (GMSC) inflammation and osteogenic differentiation by regulating miR-641 levels, thereby participating in the pathogenesis and progression of PI. MIR31HG holds promise as a clinical diagnostic and prognostic biomarker for PI patients and may serve as a molecular-level therapeutic target for PI management.
目的:种植体周围炎(PI)是导致种植体失败的主要原因。长链非编码RNA MIR31HG在PI中高表达。本研究旨在探讨MIR31HG在PI中的临床价值及可能的调控机制。方法:选取112例PI患者作为研究对象。RT-qPCR检测患者和细胞中MIR31HG和miR-641的表达水平;同时检测细胞中炎症因子TNF-α、IL-6、IL-1β和成骨标志物ALP、OCN、OPN的mRNA表达。采用CCK-8法测定细胞增殖能力。流式细胞术检测细胞凋亡。DLR检测检测MIR31HG和miR-641之间的结合关系。Logistic回归分析影响PI预后的独立因素。GO和KEGG分析确定了涉及miR-641靶基因的潜在信号通路。结果:PI患者MIR31HG表达显著上调,miR-641表达下调。MIR31HG也是PI患者预后不良的危险因素。MIR31HG负调控miR-641的表达。MIR31HG下调后,miR-641表达增加,导致细胞凋亡减少,增殖增强,炎症因子水平降低,成骨分化生物标志物水平显著升高。相反,抑制miR-641可显著逆转这些变化。miR-641靶基因可能参与mTOR和Ras信号通路影响PI的进展。结论:MIR31HG通过调节miR-641水平调节牙龈间充质干细胞(GMSC)炎症和成骨分化,参与PI的发病进展。MIR31HG有望作为PI患者的临床诊断和预后生物标志物,并可能作为PI管理的分子水平治疗靶点。
{"title":"MIR31HG Promotes the Onset and Progression of Peri-Implantitis by Regulating the miR-641 Levels","authors":"Mingyuan Wang ,&nbsp;Jiuyu Gao","doi":"10.1016/j.identj.2025.109375","DOIUrl":"10.1016/j.identj.2025.109375","url":null,"abstract":"<div><h3>Objective</h3><div>Peri-implantitis (PI) is the primary cause of implant failure. Long noncoding RNA MIR31HG is highly expressed in PI. This study aims to investigate the clinical value and potential regulatory mechanisms of MIR31HG in PI.</div></div><div><h3>Methods</h3><div>The study included 112 patients with PI. RT-qPCR assessed MIR31HG and miR-641 expression levels in patients and cells; it also evaluated the mRNA expression of inflammatory factors TNF-α, IL-6, IL-1β and osteogenic markers ALP, OCN and OPN in cells. Cell proliferation capacity was evaluated using the CCK-8 assay. Apoptosis was detected via flow cytometry. The DLR assay examined the binding relationship between MIR31HG and miR-641. Logistic regression analysed independent factors influencing PI prognosis. GO and KEGG analyses identified potential signaling pathways involving miR-641 target genes.</div></div><div><h3>Results</h3><div>MIR31HG expression was significantly upregulated in PI patients, while miR-641 was downregulated. MIR31HG also serves as a risk factor for poor prognosis in PI patients. MIR31HG negatively regulates miR-641 expression. Following MIR31HG knockdown, miR-641 expression increased, leading to reduced apoptosis, enhanced proliferation, decreased inflammatory factor levels and markedly elevated levels of osteogenic differentiation biomarkers. Inversely, inhibition of miR-641 significantly reversed these changes. miR-641 target genes may participate in mTOR and Ras signaling pathways to influence PI progression.</div></div><div><h3>Conclusion</h3><div>MIR31HG modulates gingival mesenchymal stem cells (GMSC) inflammation and osteogenic differentiation by regulating miR-641 levels, thereby participating in the pathogenesis and progression of PI. MIR31HG holds promise as a clinical diagnostic and prognostic biomarker for PI patients and may serve as a molecular-level therapeutic target for PI management.</div></div>","PeriodicalId":13785,"journal":{"name":"International dental journal","volume":"76 2","pages":"Article 109375"},"PeriodicalIF":3.7,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146046535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Generative AI–Enhanced Low-Dose CBCT for Impacted Mandibular Third Molars: an Another Perspective 生成人工智能增强下颌第三磨牙低剂量CBCT:另一个视角
IF 3.7 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Pub Date : 2026-01-23 DOI: 10.1016/j.identj.2025.109403
Jie Xia
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引用次数: 0
Meis1 Negatively Regulates Epithelial-Mesenchymal Transition via Wnt/β-catenin Pathway in Oral Submucous Fibrosis Meis1通过Wnt/β-catenin通路负调控口腔黏膜下纤维化的上皮-间质转化
IF 3.7 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Pub Date : 2026-01-23 DOI: 10.1016/j.identj.2025.109323
Jingwen Cai , Jun Chen , Yifan Jiang , Binjie Liu

Objectives

Oral submucous fibrosis (OSF) is an irreversible and potentially malignant oral disorder. Epithelial-mesenchymal transition (EMT) is a key driver of its pathogenesis. However, the underlying molecular mechanisms remain incompletely elucidated. This study aimed to investigate the role of Meis1, a novel regulatory molecule, in the pathogenesis of OSF and explore its underlying mechanism.

Materials and methods

Bioinformatics analysis explored the correlation between Meis1 and OSF. Meis1 expression in clinical OSF tissues and cell models was verified by q-PCR, western blotting, and immunohistochemistry. Cell migration and proliferation were assessed via wound healing assays and EDU staining. RNA sequencing identified Meis1’s downstream pathways. Rescue experiments determined if Meis1 regulates EMT via the Wnt/β-catenin pathway.

Results

Meis1 was predicted and confirmed to be downregulated in OSF, with its expression showing a progressive decrease as the disease severity advanced. Meis1 overexpression reversed TGF-β1-induced EMT, while Meis1 knockdown activated the Wnt/β-catenin pathway. Notably, the EMT process induced by Meis1 knockdown was rescued by inhibition of the Wnt/β-catenin pathway.

Conclusions

This study identified Meis1 as a novel molecule involved in OSF progression. Furthermore, Meis1 suppressed EMT in OSF by inhibiting the Wnt/β-catenin pathway.

Clinical significance

Our study might provide a novel potential target for the targeted therapy of OSF.
目的口腔黏膜下纤维化(OSF)是一种不可逆的潜在恶性口腔疾病。上皮间质转化(Epithelial-mesenchymal transition, EMT)是其发病机制的关键驱动因素。然而,潜在的分子机制仍未完全阐明。本研究旨在探讨新型调控分子Meis1在OSF发病中的作用,并探讨其潜在机制。材料与方法生物信息学分析探讨Meis1与OSF的相关性。采用q-PCR、western blotting和免疫组织化学方法验证Meis1在临床OSF组织和细胞模型中的表达。通过伤口愈合试验和EDU染色评估细胞迁移和增殖。RNA测序鉴定了Meis1的下游通路。救援实验确定Meis1是否通过Wnt/β-catenin途径调节EMT。结果预测并证实了meis1在OSF中表达下调,随着病情加重,其表达水平逐渐降低。Meis1过表达逆转TGF-β1诱导的EMT,而Meis1敲低激活Wnt/β-catenin通路。值得注意的是,通过抑制Wnt/β-catenin通路,Meis1敲低诱导的EMT过程得以恢复。结论本研究发现Meis1是参与OSF进展的新分子。此外,Meis1通过抑制Wnt/β-catenin通路抑制OSF中的EMT。临床意义本研究可能为OSF的靶向治疗提供新的潜在靶点。
{"title":"Meis1 Negatively Regulates Epithelial-Mesenchymal Transition via Wnt/β-catenin Pathway in Oral Submucous Fibrosis","authors":"Jingwen Cai ,&nbsp;Jun Chen ,&nbsp;Yifan Jiang ,&nbsp;Binjie Liu","doi":"10.1016/j.identj.2025.109323","DOIUrl":"10.1016/j.identj.2025.109323","url":null,"abstract":"<div><h3>Objectives</h3><div>Oral submucous fibrosis (OSF) is an irreversible and potentially malignant oral disorder. Epithelial-mesenchymal transition (EMT) is a key driver of its pathogenesis. However, the underlying molecular mechanisms remain incompletely elucidated. This study aimed to investigate the role of Meis1, a novel regulatory molecule, in the pathogenesis of OSF and explore its underlying mechanism.</div></div><div><h3>Materials and methods</h3><div>Bioinformatics analysis explored the correlation between Meis1 and OSF. Meis1 expression in clinical OSF tissues and cell models was verified by q-PCR, western blotting, and immunohistochemistry. Cell migration and proliferation were assessed via wound healing assays and EDU staining. RNA sequencing identified Meis1’s downstream pathways. Rescue experiments determined if Meis1 regulates EMT via the Wnt/β-catenin pathway.</div></div><div><h3>Results</h3><div>Meis1 was predicted and confirmed to be downregulated in OSF, with its expression showing a progressive decrease as the disease severity advanced. Meis1 overexpression reversed TGF-β1-induced EMT, while Meis1 knockdown activated the Wnt/β-catenin pathway. Notably, the EMT process induced by Meis1 knockdown was rescued by inhibition of the Wnt/β-catenin pathway.</div></div><div><h3>Conclusions</h3><div>This study identified Meis1 as a novel molecule involved in OSF progression. Furthermore, Meis1 suppressed EMT in OSF by inhibiting the Wnt/β-catenin pathway.</div></div><div><h3>Clinical significance</h3><div>Our study might provide a novel potential target for the targeted therapy of OSF.</div></div>","PeriodicalId":13785,"journal":{"name":"International dental journal","volume":"76 2","pages":"Article 109323"},"PeriodicalIF":3.7,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146035003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploration Novel Therapeutic Targets for Periodontitis via Stress Granules Biomarkers 利用应激颗粒生物标志物探索治疗牙周炎的新靶点
IF 3.7 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Pub Date : 2026-01-22 DOI: 10.1016/j.identj.2025.109390
Yu Wang , Xie Yang , Bowei Shi , Bowen Zhu , Hai Zhuang , Jialu Chen

Background

Periodontitis (PD) is associated with stress granules (SGs), which are involved in cellular stress responses. Identifying biomarkers related to SGs in PD is key to grasping its pathogenesis and devising novel therapeutic approaches.

Methods

Microarray datasets GSE10334 and GSE106090 were downloaded from public databases, and experimental verification was conducted. Differentially expressed genes (DEGs) were determined via differential expression analysis and intersected with SGs-related genes (SGs-RGs). Machine learning methods and gene expression validation were used to further refine the biomarkers. Subsequently, a nomogram was constructed for disease prediction, and its accuracy was evaluated. Enrichment analysis was performed to investigate signalling pathways, and immune cell infiltration was analysed. Moreover, a transcription factor (TF) regulatory network and a disease-biomarker-drug interaction network were constructed.

Results

A total of 1618 DEGs, 95 candidate genes, and 4 biomarkers (PECAM1, IL18, EGFR, and CCL5) were identified. PECAM1 and CCL5 showed significant overexpression, while IL18 and EGFR showed significant underexpression in PD patients. The nomogram based on these biomarkers showed high predictive accuracy. Enrichment analysis revealed that the biomarkers were primarily accumulated within translation pathways, like ribosome and rRNA processing. Besides, 14 differentially infiltrated immune cell types were identified, with significant positive correlations between IL18/EGFR and memory B cells, PECAM1/CCL5 and plasma cells. Notably, TFs such as CEBPB, ELF1, and STAT3 were identified as important regulatory factors for the biomarkers. Potential drugs for the biomarkers included mycophenolate, afatinib, and fluticasone, and the biomarkers were associated with diseases such as gingivitis, diabetes, and cardiovascular diseases.

Conclusions

This study identified four SGs-related biomarkers in PD and proposed potential therapeutic targets, providing preliminary insights into its pathogenesis that warrant further experimental validation at the protein and functional levels.
牙周炎(PD)与应激颗粒(SGs)有关,应激颗粒参与细胞应激反应。确定PD中与SGs相关的生物标志物是掌握其发病机制和设计新的治疗方法的关键。方法从公共数据库下载微阵列数据集GSE10334和GSE106090,并进行实验验证。通过差异表达分析确定差异表达基因(DEGs),并与sgs相关基因(SGs-RGs)相交。使用机器学习方法和基因表达验证来进一步完善生物标志物。随后,构建疾病预测的nomogram,并对其准确性进行了评价。富集分析研究信号通路,免疫细胞浸润分析。此外,还构建了转录因子(TF)调控网络和疾病-生物标志物-药物相互作用网络。结果共鉴定出1618个DEGs、95个候选基因和4个生物标志物(PECAM1、IL18、EGFR、CCL5)。PD患者中PECAM1、CCL5显著过表达,IL18、EGFR显著过表达。基于这些生物标记物的nomogram预测准确率较高。富集分析显示,这些生物标志物主要在翻译途径中积累,如核糖体和rRNA加工。此外,鉴定出14种差异浸润免疫细胞类型,il - 18/EGFR与记忆B细胞、PECAM1/CCL5和浆细胞呈显著正相关。值得注意的是,CEBPB、ELF1和STAT3等tf被确定为生物标志物的重要调控因子。生物标志物的潜在药物包括霉酚酸盐、阿法替尼和氟替卡松,这些生物标志物与牙龈炎、糖尿病和心血管疾病等疾病相关。本研究确定了PD中4种与sgs相关的生物标志物,并提出了潜在的治疗靶点,为其发病机制提供了初步的见解,需要进一步在蛋白质和功能水平上进行实验验证。
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引用次数: 0
Serum and Salivary microRNA Biomarkers Reveal Oxidative Stress Dysregulation in Coronary Artery Disease 血清和唾液microRNA生物标志物揭示冠状动脉疾病中氧化应激失调
IF 3.7 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Pub Date : 2026-01-22 DOI: 10.1016/j.identj.2025.109391
Anandhi Sekar Arthisri , Vishnu Priya Veeraraghavan , A Thirumal Raj , Raghavendra M. Shetty , Shankargouda Patil

Introduction and aim

Coronary artery disease (CAD) is a major cause of death. Epicardial adipose tissue (ECAT) contributes to CAD via oxidative stress, regulated by non-coding RNAs like miRNAs and lncRNAs.

Methods

Oxidative stress-related genes were retrieved from GeneCards. Microarray datasets (GSE64554 and GSE64563) identified differentially expressed genes and miRNAs in ECAT. PPI network and clustering revealed 51 key genes. Bottleneck analysis highlighted CD44, RUNX3, and KLRD1. miR-127-3p, regulating these genes, showed downregulation in ECAT, saliva, and plasma samples from 30 CAD patients.

Results

Out of 407 overlapping oxidative stress genes, 51 were strongly regulated via miRNA–lncRNA networks. CD44, RUNX3, and KLRD1 were key biomarkers. miR-127-3p showed significant downregulation (P < .05) and the highest lncRNA interaction count. Its consistent decrease in ECAT, saliva, and plasma indicates systemic dysregulation in CAD.

Conclusions

CD44, RUNX3, and KLRD1 are oxidative stress biomarkers in ECAT, regulated by miR-127-3p. Its consistent downregulation in ECAT, plasma, and saliva supports its role in CAD pathogenesis and systemic relevance.

Clinical relevance

The consistent downregulation of miR-127-3p in plasma and saliva highlights its potential as a clinically relevant, non-invasive biomarker, supporting early detection and monitoring strategies for CAD through accessible body fluids.
冠状动脉疾病(CAD)是人类死亡的主要原因之一。心外膜脂肪组织(ECAT)通过氧化应激参与CAD,由mirna和lncrna等非编码rna调节。方法从GeneCards中检索氧化应激相关基因。微阵列数据集(GSE64554和GSE64563)鉴定了ECAT中差异表达的基因和mirna。PPI网络和聚类共发现51个关键基因。瓶颈分析突出了CD44、RUNX3和KLRD1。调节这些基因的miR-127-3p在30例CAD患者的ECAT、唾液和血浆样本中显示下调。结果在407个重叠的氧化应激基因中,51个受到miRNA-lncRNA网络的强烈调控。CD44、RUNX3和KLRD1是关键的生物标志物。miR-127-3p出现显著下调(P < 0.05), lncRNA相互作用计数最高。其ECAT、唾液和血浆的持续下降表明CAD的系统性失调。结论scd44、RUNX3和KLRD1是受miR-127-3p调控的ECAT氧化应激生物标志物。其在ECAT、血浆和唾液中的持续下调支持了其在CAD发病机制和系统性相关性中的作用。血浆和唾液中miR-127-3p的持续下调突出了其作为临床相关的非侵入性生物标志物的潜力,支持通过可获得的体液早期检测和监测CAD策略。
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引用次数: 0
Evolving Trends and Emerging Frontiers in Clear Aligner Therapy: A Bibliometric and Social Impact Analysis (2015-2024) 明确对齐疗法的发展趋势和新兴领域:文献计量学和社会影响分析(2015-2024)
IF 3.7 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Pub Date : 2026-01-22 DOI: 10.1016/j.identj.2025.109372
Jianing Wu , Jiatong Zhang , Xinlin Yu, Yifan Jia, Xiaoxi Wei

Introduction and aims

Clear aligner therapy (CAT) serves as an innovative alternative to traditional fixed appliances, gaining rapid clinical adoption in recent years due to its superior aesthetics, treatment efficiency, patient comfort, and ease of use, which has driven explosive growth in related research. This bibliometric analysis aims to reveal research focuses and development trends in the CAT field.

Methods

Articles related to CAT from 2015 to 2024 were retrieved from the Web of Science Core Collection database using a specific topic query, yielding 999 records, with 973 high-quality articles and reviews included after screening. Bibliometric analysis was performed using VOSviewer and Bibliometrix software, including collaboration networks, keyword co-occurrence analysis, and extraction of data on publication years, authors, institutions, countries, journals, keywords, and citations.

Results

From 2015 to 2024, a total of 973 publications in the CAT field were identified, showing exponential growth overall. The American Journal of Orthodontics and Dentofacial Orthopaedics ranked first with 90 articles. The study by Rossini G (2015, Angle Orthod) emerged as the most influential with the highest total citations (421) and annual citations (38.27). The 3 articles with high societal impact were those by Weir, Ke, and Azaripour. The keyword "Invisalign" (n = 232) appeared most frequently. China led in publication volume (n = 221, 22.7%), with the closest collaborations among China, the United States, and Italy. Sichuan University had the highest publication count (n = 109), Weir Tony was the most productive author (n = 26), and Castroflorio Tommaso had the highest total citations (TC = 1045) and local citations (LC = 677).

Conclusion

This analysis offers a comprehensive overview and in-depth examination of future development trends and potential research directions in CAT, which can inspire both clinical and scientific researchers.

Clinical relevance

CAT demonstrates advantages in treatment efficacy, patient comfort, and oral health-related quality of life. The integration of digital workflows, including AI-assisted planning and 3D printing, enhances treatment precision and monitoring. Addressing challenges such as patient compliance and public perception is essential for optimising individualised treatment plans and expanding clinical adoption.
CAT (clear aligner therapy)作为传统固定矫治器的一种创新替代方案,近年来因其优越的美观、治疗效率、患者舒适度和易用性而迅速获得临床应用,推动了相关研究的爆炸式增长。本文的文献计量分析旨在揭示计算机辅助科学领域的研究热点和发展趋势。方法采用特定主题查询方法从Web of Science Core Collection数据库检索2015 - 2024年与CAT相关的文献,共收录文献999篇,筛选出高质量文献和综述973篇。使用VOSviewer和Bibliometrix软件进行文献计量分析,包括协作网络、关键词共现分析,提取出版年份、作者、机构、国家、期刊、关键词、引文等数据。结果2015 - 2024年,共发现CAT领域文献973篇,总体呈指数级增长。《美国正畸与牙面矫形学杂志》以90篇文章排名第一。Rossini G (2015, Angle Orthod)的研究以最高的总引用量(421)和年引用量(38.27)成为最具影响力的研究。具有较高社会影响的3篇文章分别是Weir、Ke和Azaripour的文章。关键词“Invisalign”(n = 232)出现频率最高。中国在出版物数量上领先(n = 221, 22.7%),中国、美国和意大利之间的合作最为密切。四川大学的论文发表数最多(n = 109), Weir Tony的论文发表量最多(n = 26), Castroflorio Tommaso的总被引次数最多(TC = 1045),地方被引次数最多(LC = 677)。结论对CAT的未来发展趋势和潜在的研究方向进行了全面的概述和深入的探讨,对临床和科研人员都有启发意义。临床相关性:ecat在治疗疗效、患者舒适度和口腔健康相关生活质量方面具有优势。数字工作流程的集成,包括人工智能辅助规划和3D打印,提高了治疗精度和监测。解决患者依从性和公众认知等挑战对于优化个性化治疗计划和扩大临床采用至关重要。
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引用次数: 0
Panoramic Landmarks: Comparing LLM-Assisted, Manual Tracing, and Self-Directed Learning in Dental Education 全景地标:比较llm辅助,手工追踪和牙科教育自主学习
IF 3.7 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Pub Date : 2026-01-22 DOI: 10.1016/j.identj.2025.109393
Suresh Kandagal Veerabhadrappa , Jayanth Kumar Vadivel , Seema Yadav Roodmal , Thantrira Porntaveetus , Anand Marya , Siddharthan Selvaraj

Background

Accurate identification of anatomical landmarks on panoramic radiographs is a foundational yet challenging skill in dentistry. Traditional didactic teaching often requires supplementation to achieve proficiency. This study evaluates and compares the efficacy of three supplementary learning modalities: self-directed learning (SDL), traditional manual tracing (MT), and an AI-driven approach using ChatGPT.

Methods

In this prospective study, 63 third-year dental students were assigned to one of three groups (n = 21 each): SDL, MT, or ChatGPT-assisted learning. Following a theoretical lecture, students were assessed using a 30-item test immediately after the lecture (baseline) and again at a 4-week follow-up. Intra- and intergroup differences were analysed using Wilcoxon signed-rank and Kruskal–Wallis tests, respectively.

Results

Intergroup analysis demonstrated that the MT group achieved significantly higher overall scores than both the SDL and ChatGPT groups (P < .05), correctly identifying the most landmarks (26/30). Within-group analysis revealed significant improvements from baseline in the MT group for 24 landmarks (P < .05 for key structures like the hard palate and hyoid bone) and in the ChatGPT group for 16 landmarks (P < .05 for the glossopharyngeal air space). The SDL group showed no significant improvement. Notably, the ChatGPT group outperformed MT in identifying four specific landmarks, including the zygomatic process and nasopharyngeal air space.

Conclusion

For optimal learning in dental radiology, an integrated approach is recommended. MT proved most effective overall, while ChatGPT added value for specific landmarks. Combining both methods may further enhance student proficiency.

Clinical Relevance

Identification of landmarks is essential for accurate diagnosis and treatment planning. This study demonstrates that MT significantly enhances landmark recognition, while ChatGPT provides supplementary value. Integrating traditional and AI-assisted methods may further strengthen dental radiology education.
背景:在全景x线片上准确识别解剖标志是牙科的一项基础但具有挑战性的技能。传统的说教式教学往往需要补充知识才能达到熟练程度。本研究评估并比较了三种辅助学习模式的有效性:自主学习(SDL)、传统手工追踪(MT)和使用ChatGPT的人工智能驱动方法。方法在这项前瞻性研究中,63名三年级牙科学生被分为三组(每组21人):SDL、MT或chatgpt辅助学习。在一次理论讲座之后,学生们在讲座结束后立即(基线)进行了30项测试,并在4周的随访中再次进行了评估。组内和组间差异分别采用Wilcoxon符号秩检验和Kruskal-Wallis检验进行分析。结果组间分析表明,MT组的总体得分明显高于SDL和ChatGPT组(P < 0.05),正确识别了大多数地标(26/30)。组内分析显示MT组有24个标志(如硬腭和舌骨等关键结构P <; 0.05), ChatGPT组有16个标志(舌咽部空气空间P <; 0.05)较基线有显著改善。SDL组无明显改善。值得注意的是,ChatGPT组在识别四个特定标志方面优于MT,包括颧突和鼻咽部空气空间。结论口腔放射学的综合学习是最佳的学习方法。总的来说,MT被证明是最有效的,而ChatGPT为特定的地标增加了价值。两种方法结合可以进一步提高学生的熟练程度。临床相关性识别标志对于准确诊断和治疗计划至关重要。本研究表明,MT显著增强了地标识别,而ChatGPT提供了补充价值。将传统方法与人工智能辅助方法相结合,可以进一步加强口腔放射学教育。
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引用次数: 0
期刊
International dental journal
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