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Comparative evaluation of fluoride release from different modifications of glass ionomer dental restorative material in primary teeth at different time intervals: An ex vivo study. 不同改性玻璃离聚体牙齿修复材料在不同时间间隔内对乳牙中氟化物释放的比较评价:一项离体研究。
Q1 Medicine Pub Date : 2025-11-01 Epub Date: 2025-08-09 DOI: 10.1016/j.jobcr.2025.07.029
Vivek Mehta, Nikhil Srivastava, Saif Ali Chaudhry, Vivek Rana

Purpose: This ex vivo study aims to evaluate and compare the fluoride-releasing capabilities of different modifications of Glass ionomer cement, namely Giomer, Zirconomer, and Pediatric GIC (type IX) with Resin-modified Glass ionomer cement (RMGIC) in the primary dentition at first, fourteenth, and twenty-eighth days.

Materials and methods: Fifty-six extracted human primary molars were allocated into four groups: Group 1, Resin-modified GIC; Group 2, Giomer; Group 3, Zirconomer; and Group 4, Pediatric GIC (type IX). The tooth samples (n = 14) were restored as per the manufacturer's instructions after making class II cavities in primary molars. Extracted tooth specimens were placed in deionized water, and the fluoride ions released were measured for 28 days. The tooth samples were evaluated for cumulative fluoride levels at the end of 24 h, 14th day, and 28th day under normal atmospheric conditions, using a fluoride ion-selective electrode (Orion STAR-A214 Ion analyzer). The data obtained was subjected to statistical analysis, and the results are discussed herein.

Results: Fluoride ions releasing capability was exhibited by primary teeth restored with all the above-mentioned materials. The primary teeth restored with Zirconomer exhibited significantly higher fluoride-releasing capability among the above-compared materials, and the primary teeth restored with Giomer exhibited the least fluoride ions release on 24 h, 14th day, and 28th day, and the difference of fluoride ions releasing ability between the four groups was statistically significant at each time interval (P < 0.001).

Conclusion: The primary teeth restored with Zirconomer exhibited superior fluoride-releasing ability compared to other restorative materials. Therefore, Zirconomer can be a promising restorative material for primary teeth due to its enhanced anti-caries effect.

目的:本体外研究旨在评估和比较不同改性玻璃离子水门钉(Giomer, Zirconomer, Pediatric GIC (type IX))与树脂改性玻璃离子水门钉(RMGIC)在初级牙列第1天、第14天和第28天的氟化物释放能力。材料与方法:56颗拔除的人乳牙分为4组:1组树脂改性GIC;第2组,聚物;第3族,锆共聚物;第4组为小儿GIC (IX型)。14个牙齿样本在制作出初级磨牙II级蛀牙后,按照制造商的说明进行修复。拔牙标本置于去离子水中,测定28天氟离子释放量。在正常大气条件下,使用氟离子选择电极(Orion STAR-A214离子分析仪)评估牙齿样品在24小时、14天和28天的累积氟化物水平。对所得数据进行了统计分析,并对结果进行了讨论。结果:采用上述材料修复的乳牙均表现出释放氟离子的能力。使用锆聚体修复的乳牙在上述材料中释放氟离子的能力明显高于其他材料,而使用聚聚体修复的乳牙在24 h、第14天、第28天释放氟离子的能力最小,且在各时间间隔内,四组间释放氟离子的能力差异均有统计学意义(P)。与其他修复材料相比,锆合金修复的乳牙具有更好的氟释放能力。因此,锆合金具有较好的抗龋效果,是一种很有前途的乳牙修复材料。
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引用次数: 0
Samarium-doped hydroxyapatite: An effective approach for enhancing biomineralization in dental caries management. 掺钐羟基磷灰石:龋治疗中加强生物矿化的有效方法。
Q1 Medicine Pub Date : 2025-11-01 Epub Date: 2025-08-08 DOI: 10.1016/j.jobcr.2025.07.026
C P Harini, Radha Gosala, Ramya Ramadoss

Background: Dental caries is a widespread non-communicable disease caused by interactions among acidogenic bacteria, fermentable carbohydrates, and host factors, leading to tooth demineralization. In dentin caries, this process exposes dentinal tubules, causing sensitivity and structural degradation. Despite available agents, effective dentin remineralization remains a challenge. Recent studies highlight samarium-doped hydroxyapatite (Sm-HAp) as a potential biomaterial for promoting remineralization.

Aim: To synthesize and characterize the samarium doped hydroxyapatite (Sm-HAp) as a potential agent in dentin remineralization.

Materials and methods: Sm-HAp was synthesized via wet-chemical precipitation. Characterization was performed using SEM for morphology, FTIR for functional groups, and XRD for crystalline features. MTT assay evaluated for biocompatibility and in vitro mineralization analyzed on human tooth samples.

Results: SEM showed flake-like, and needle-shaped crystals. XRD indicated the formation Sm doped hydroxyapatite without any additional phase, which further confirmed by FTIR. MTT assay showed >85 % cell viability, confirming high biocompatibility and also an efficient dentine mineralization was observed with Sm-HAp treatment.

Conclusion: Sm-HAp demonstrates favorable structural, chemical, and biological properties, supporting its potential as a dentin remineralizing agent in dental caries management.

背景:龋齿是一种广泛存在的非传染性疾病,由产酸细菌、可发酵碳水化合物和宿主因素相互作用引起,导致牙齿脱矿。在牙本质龋齿中,这个过程暴露了牙本质小管,导致敏感和结构退化。尽管有可用的药物,有效的牙本质再矿化仍然是一个挑战。最近的研究表明,钐掺杂羟基磷灰石(Sm-HAp)是一种潜在的促进再矿化的生物材料。目的:合成并表征钐掺杂羟基磷灰石(Sm-HAp)作为牙本质再矿化的潜在剂。材料与方法:采用湿化学沉淀法合成Sm-HAp。用SEM表征形貌,FTIR表征官能团,XRD表征晶体特征。MTT法评价了人类牙齿样品的生物相容性和体外矿化分析。结果:扫描电镜显示片状、针状晶体。XRD分析表明形成了Sm掺杂的羟基磷灰石,没有任何附加相,FTIR进一步证实了这一点。MTT实验显示细胞存活率为> 85%,证实了Sm-HAp处理的高生物相容性和有效的牙本质矿化。结论:Sm-HAp具有良好的结构、化学和生物学特性,支持其作为牙本质再矿化剂在龋齿治疗中的潜力。
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引用次数: 0
Integrative nanoformulation of paclitaxel, ruthenium (II), and curcumin for enhanced oral cancer cell suppression 紫杉醇、钌(II)和姜黄素的整合纳米配方增强口腔癌细胞抑制
Q1 Medicine Pub Date : 2025-11-01 DOI: 10.1016/j.jobcr.2025.10.024
Rethinam Senthil , Deepak Angamuthu , P. Geetha Sravanthy , Pradeep Kumar R.

Background

Oral squamous cell carcinoma (OSCC) often responds poorly to conventional chemotherapy. This study aimed to enhance the efficacy of paclitaxel (PTX) by co-encapsulating it with a ruthenium (II) complex (Ru-II) and curcumin nanoparticles (C-NP).

Methods

C-NPs were prepared via wet milling, and Ru-II was synthesized through ligand coordination and reduction. The conjugate (CoENC-PTX) was obtained by combining PTX, Ru-II, and C-NP, followed by ultrafiltration. Characterization was performed using UV–Vis, FTIR, XRD, and HRSEM. In vitro evaluations included drug release, cytotoxicity assays on OSCC cells, live/dead cell labeling, and quantitative PCR (qPCR) analysis.

Results

CoENC-PTX showed efficient encapsulation with distinct spectral, crystalline, and morphological features. Drug release exhibited a biphasic profile, with 94.8 % release in 48 h. Cytotoxicity assays indicated dose-dependent reduction in OSCC cell viability, with maximum effect at 100 μg/mL. Live/dead staining confirmed apoptosis, while qPCR revealed p53 and c-Myc overexpression, indicating apoptosis activation and cell cycle regulation.

Conclusion

The PTX–Ru-II–C-NP formulation significantly improved the anticancer activity against OSCC, offering a promising synergistic approach for oral cancer therapy.
背景:口腔鳞状细胞癌(OSCC)通常对常规化疗反应不佳。本研究旨在通过钌(II)配合物(Ru-II)和姜黄素纳米颗粒(C-NP)共包封紫杉醇(PTX)来提高其疗效。方法湿磨法制备sc - nps,配位还原法制备Ru-II。将PTX、Ru-II和C-NP结合得到共轭物(coencc -PTX),并进行超滤。采用UV-Vis, FTIR, XRD和HRSEM进行表征。体外评价包括药物释放、细胞毒性测定、活/死细胞标记和定量PCR (qPCR)分析。结果scencc - ptx包封效果良好,具有清晰的光谱、晶体和形态特征。药物释放呈双相分布,48 h内释放率为94.8%。细胞毒性试验显示,剂量依赖性地降低了OSCC细胞活力,在100 μg/mL时效果最大。活/死染色证实细胞凋亡,qPCR显示p53和c-Myc过表达,提示细胞凋亡活化和细胞周期调控。结论PTX-Ru-II-C-NP制剂可显著提高对OSCC的抗癌活性,为口腔癌的协同治疗提供了一条有前景的途径。
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引用次数: 0
Artificial Intelligence–driven spatial transcriptomics in OSCC: Mapping the tumor microenvironment and personalizing therapy 人工智能驱动的OSCC空间转录组学:绘制肿瘤微环境和个性化治疗
Q1 Medicine Pub Date : 2025-11-01 DOI: 10.1016/j.jobcr.2025.10.015
Soundharya Manogaran , Ramya Ramadoss , Suganya Panneer Selvam , Sandhya Sundar , Nitya Krishnasamy , Hemashree , Karunya Krishnakumar , Preethi Shankar
Spatial transcriptomics (ST) represents a transformative approach in cancer research, offering high-resolution insights into the spatial organization of gene expression within tissues, particularly relevant for the complex tumor microenvironment (TME) of oral squamous cell carcinoma (OSCC). Unlike conventional bulk RNA sequencing, which masks spatial heterogeneity, ST retains the architectural context of tumors, enabling the mapping of molecular gradients, tumor–stroma interactions, and immune cell localization. Various ST platforms—such as 10x Genomics Visium, Slide-seqV2, MERFISH, NanoString GeoMx DSP, CosMx SMI, and BGI.
Stereo-seq—each offers unique advantages in resolution, sample compatibility, and transcriptome depth. Their application in OSCC has led to the identification of spatially distinct gene signatures, aiding in the stratification of tumor subtypes and uncovering novel prognostic markers. Furthermore, the integration of ST with artificial intelligence (AI) and machine learning has enhanced its analytical capabilities, enabling automated feature extraction, spatial clustering, and predictive modeling of disease progression. Despite these advancements, limitations such as high computational demands, limited access to fresh-frozen tissues, and platform-specific biases persist. Nonetheless, the synergy between ST and AI heralds a new era in precision pathology, with the potential to revolutionize diagnosis, risk assessment, and personalized therapeutic strategies for OSCC.
空间转录组学(ST)代表了癌症研究的一种变革方法,为组织内基因表达的空间组织提供了高分辨率的见解,特别是与口腔鳞状细胞癌(OSCC)的复杂肿瘤微环境(TME)相关。与传统的大体积RNA测序不同,它掩盖了空间异质性,ST保留了肿瘤的结构背景,能够绘制分子梯度、肿瘤-基质相互作用和免疫细胞定位。各种ST平台,如10x Genomics Visium, Slide-seqV2, MERFISH, NanoString GeoMx DSP, CosMx SMI和华大基因。Stereo-seq-each在分辨率,样品兼容性和转录组深度方面提供独特的优势。它们在OSCC中的应用导致了空间上不同基因特征的识别,有助于肿瘤亚型的分层和发现新的预后标志物。此外,ST与人工智能(AI)和机器学习的集成增强了其分析能力,实现了自动特征提取、空间聚类和疾病进展的预测建模。尽管取得了这些进步,但诸如高计算需求、获取新鲜冷冻组织的限制以及平台特定偏差等限制仍然存在。尽管如此,ST和AI之间的协同作用预示着精确病理学的新时代,有可能彻底改变OSCC的诊断、风险评估和个性化治疗策略。
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引用次数: 0
The effect of thermocycling on fracture resistance of zirconia crowns cemented with polylysine modified resin cements (Comparative in vitro study) 热循环对聚赖氨酸改性树脂胶结氧化锆冠抗断裂性能的影响(体外比较研究)
Q1 Medicine Pub Date : 2025-11-01 DOI: 10.1016/j.jobcr.2025.10.018
Rasha H. Jehad , Zainab M. Mansi , Samar Abdul Hamed

Background

resin cement type and intraoral temperature fluctuations may affect the fracture performance of successful zirconia restorations. To fill this gap, the purpose of this study is to evaluate and compare the influence of thermocycling on fracture resistance and mode of failure of monolithic zirconia crowns luted with Rely X™ U200 and BreezeTMself-adhesive resin cements as well as imply the effect of adding 2 % of polylysine (PLS) to these cements.

Materials

64 maxillary premolars were milled out of zirconia blocks using CAD/CAM milling system. They were divided into four groups (n = 16) according to the cement type. Four different resin cements were used (RelyXTMU200, Breeze™, RelyX™ U200 with 2 % PLS and Breeze™ with 2%PLS). Each group was further subdivided into experimental and control groups (n = 8). The experimental specimens were exposed to thermocycling protocol of 10,000 cycles in water bath at 5 °C and 55 °C.Each specimen was subjected to axial load until fracture using universal testing machine. Fracture modes were analyzed using digital microscope. Data were statistically analyzed using paired t-test at a level of significance of 0.05.

Results

there was a statistical significant difference in fracture load among groups (p < 0.05) with the highest mean in Rely X cement. Although the fracture loads statistically decreased after thermocycling (p < 0.05) there was no significant effect on the addition of 2 % PLS (p > 0.05). Microscopical analysis demonstrated a majority of catastrophic mode of fracture.

Conclusion

both cement type and thermocycling exert significant effects on fracture resistance of premolars crowns restored with monolithic zirconia, while the addition of 2 % PLS exerted negligible effect.
背景树脂水泥类型和口内温度波动可能影响氧化锆修复体的断裂性能。为了填补这一空白,本研究的目的是评估和比较热循环对使用Rely X™U200和breezetm自粘树脂胶结的单片氧化锆冠的抗断裂性和破坏模式的影响,以及在这些胶结物中添加2%聚赖氨酸(PLS)的效果。材料采用CAD/CAM铣削系统,用氧化锆块铣削出64颗上颌前磨牙。根据骨水泥类型分为4组(n = 16)。使用了四种不同的树脂水泥(RelyXTMU200、Breeze™、RelyX™U200 (2%PLS)和Breeze™(2%PLS))。每组再细分为实验组和对照组(n = 8)。实验样品在5°C和55°C的水浴中进行10,000次热循环。每个试件在万能试验机上承受轴向载荷直至断裂。用数码显微镜分析断裂模式。数据采用配对t检验,显著性水平为0.05。结果各组骨折负荷差异有统计学意义(p < 0.05),其中Rely X骨水泥的平均值最高。虽然热循环后骨折负荷有统计学意义上降低(p < 0.05),但添加2% PLS对骨折负荷无显著影响(p < 0.05)。显微分析显示多数为突变型骨折。结论骨水泥类型和热循环对整体氧化锆修复前磨牙冠的抗裂性均有显著影响,2% PLS的加入对其影响较小。
{"title":"The effect of thermocycling on fracture resistance of zirconia crowns cemented with polylysine modified resin cements (Comparative in vitro study)","authors":"Rasha H. Jehad ,&nbsp;Zainab M. Mansi ,&nbsp;Samar Abdul Hamed","doi":"10.1016/j.jobcr.2025.10.018","DOIUrl":"10.1016/j.jobcr.2025.10.018","url":null,"abstract":"<div><h3>Background</h3><div>resin cement type and intraoral temperature fluctuations may affect the fracture performance of successful zirconia restorations. To fill this gap, the purpose of this study is to evaluate and compare the influence of thermocycling on fracture resistance and mode of failure of monolithic zirconia crowns luted with Rely X™ U200 and Breeze<sup>TM</sup>self-adhesive resin cements as well as imply the effect of adding 2 % of polylysine (PLS) to these cements.</div></div><div><h3>Materials</h3><div>64 maxillary premolars were milled out of zirconia blocks using CAD/CAM milling system. They were divided into four groups (n = 16) according to the cement type. Four different resin cements were used (RelyX<sup>TM</sup>U200, Breeze™, RelyX™ U200 with 2 % PLS and Breeze™ with 2%PLS). Each group was further subdivided into experimental and control groups (n = 8). The experimental specimens were exposed to thermocycling protocol of 10,000 cycles in water bath at 5 °C and 55 °C.Each specimen was subjected to axial load until fracture using universal testing machine. Fracture modes were analyzed using digital microscope. Data were statistically analyzed using paired <em>t</em>-test at a level of significance of 0.05.</div></div><div><h3>Results</h3><div>there was a statistical significant difference in fracture load among groups (p &lt; 0.05) with the highest mean in Rely X cement. Although the fracture loads statistically decreased after thermocycling (p &lt; 0.05) there was no significant effect on the addition of 2 % PLS (p &gt; 0.05). Microscopical analysis demonstrated a majority of catastrophic mode of fracture.</div></div><div><h3>Conclusion</h3><div>both cement type and thermocycling exert significant effects on fracture resistance of premolars crowns restored with monolithic zirconia, while the addition of 2 % PLS exerted negligible effect.</div></div>","PeriodicalId":16609,"journal":{"name":"Journal of oral biology and craniofacial research","volume":"15 6","pages":"Pages 1843-1850"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145473781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Possible applicability of flavonoid hesperetin for the treatment of dental biofilm-forming Candida glabrata 黄酮类橙皮苷治疗牙生物膜形成的光念珠菌的可能适用性
Q1 Medicine Pub Date : 2025-11-01 DOI: 10.1016/j.jobcr.2025.10.016
Bhavesh Sureendar , Vinothini Gunasekaran , Dhanraj Ganapathy, Palanivel Sathishkumar

Background

Biofilm formation is a key virulence factor for Candida glabrata because it forms an extracellular matrix that prevents antifungal passage, which resists antifungal agents and causes treatment failure. To overcome this, the present study aimed to investigate the therapeutic potential of phytocompounds as an alternative choice in eliminating dental biofilm-forming C. glabrata.

Method

The antifungal potential of various phytocompounds against C. glabrata was evaluated through zone of inhibition (ZOI) and minimum inhibitory concentration (MIC) studies. The antibiofilm potential of phytocompounds was evaluated against C. glabrata and confirmed through CV staining, MTT assay and CLSM analysis. The biocompatibility of hesperetin was checked by hemocompatibility test on human RBCs.

Results

Quercetin, morin, rutin, naringin, and hesperetin exhibits antifungal activity towards C. glabrata. Hesperetin shows slightly higher antifungal activity (ZOI: 14.6 ± 0.57 mm and MIC: 0.3 ± 0.01 mM) for C. glabrata, compared to other tested phytocompounds. The 100 % deadness of C. glabrata cells in biofilm was observed at 2MIC (0.6 mM) of hesperetin. Interestingly, hesperetin demonstrates acceptable level hemolysis (5 %) on RBCs up to 10 mM.

Conclusions

These findings suggest that hesperetin is a novel natural antifungal agent capable of effectively inhibiting the biofilm-forming C. glabrata, with the potential for development into safe, phyto-based therapeutics for managing dental infections.
生物膜形成是秃念珠菌的关键毒力因素,因为它形成细胞外基质,阻止抗真菌药物通过,从而抵抗抗真菌药物并导致治疗失败。为了克服这一点,本研究旨在研究植物化合物作为消除牙齿生物膜形成的光牙锥体的替代选择的治疗潜力。方法通过抑菌区(ZOI)和最低抑菌浓度(MIC)研究,评价不同植物化合物对赤霉病的抑菌潜力。通过CV染色、MTT试验和CLSM分析,评价了植物化合物对光棘球蚴的抗菌潜力。采用人红细胞血液相容性试验检测橙皮苷的生物相容性。结果槲皮素、桑皮素、芦丁、柚皮素和橙皮素对光斑夜蛾具有抗真菌活性。橙皮苷对赤霉病菌的抑制活性(ZOI: 14.6±0.57 mm, MIC: 0.3±0.01 mm)略高于其他植物化合物。hesperetin浓度为2MIC (0.6 mM)时,生物膜中光斑锥体细胞的死亡率为100%。有趣的是,橙皮素对红细胞的溶血作用可达10毫米(5%)。结论这些发现表明橙皮素是一种新型的天然抗真菌剂,能够有效抑制形成生物膜的C. glabrata,具有发展成为安全的、基于植物的治疗牙齿感染的潜力。
{"title":"Possible applicability of flavonoid hesperetin for the treatment of dental biofilm-forming Candida glabrata","authors":"Bhavesh Sureendar ,&nbsp;Vinothini Gunasekaran ,&nbsp;Dhanraj Ganapathy,&nbsp;Palanivel Sathishkumar","doi":"10.1016/j.jobcr.2025.10.016","DOIUrl":"10.1016/j.jobcr.2025.10.016","url":null,"abstract":"<div><h3>Background</h3><div>Biofilm formation is a key virulence factor for <em>Candida glabrata</em> because it forms an extracellular matrix that prevents antifungal passage, which resists antifungal agents and causes treatment failure. To overcome this, the present study aimed to investigate the therapeutic potential of phytocompounds as an alternative choice in eliminating dental biofilm-forming <em>C. glabrata</em>.</div></div><div><h3>Method</h3><div>The antifungal potential of various phytocompounds against <em>C. glabrata</em> was evaluated through zone of inhibition (ZOI) and minimum inhibitory concentration (MIC) studies. The antibiofilm potential of phytocompounds was evaluated against <em>C. glabrata</em> and confirmed through CV staining, MTT assay and CLSM analysis. The biocompatibility of hesperetin was checked by hemocompatibility test on human RBCs.</div></div><div><h3>Results</h3><div>Quercetin, morin, rutin, naringin, and hesperetin exhibits antifungal activity towards <em>C. glabrata</em>. Hesperetin shows slightly higher antifungal activity (ZOI: 14.6 ± 0.57 mm and MIC: 0.3 ± 0.01 mM) for <em>C. glabrata</em>, compared to other tested phytocompounds. The 100 % deadness of <em>C. glabrata</em> cells in biofilm was observed at 2MIC (0.6 mM) of hesperetin. Interestingly, hesperetin demonstrates acceptable level hemolysis (5 %) on RBCs up to 10 mM.</div></div><div><h3>Conclusions</h3><div>These findings suggest that hesperetin is a novel natural antifungal agent capable of effectively inhibiting the biofilm-forming <em>C. glabrata</em>, with the potential for development into safe, phyto-based therapeutics for managing dental infections.</div></div>","PeriodicalId":16609,"journal":{"name":"Journal of oral biology and craniofacial research","volume":"15 6","pages":"Pages 1799-1805"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145415752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Correlation between gingival fibroblast cell viability and degree of conversion of resin composites at different light-curing tip distances 不同光固化尖端距离下牙龈成纤维细胞活力与树脂复合材料转化程度的关系
Q1 Medicine Pub Date : 2025-10-22 DOI: 10.1016/j.jobcr.2025.10.011
Atieh Hashemian , Mahshid Hodjat , Marjan Behroozibakhsh

Objective

This study aimed to evaluate the effect of light-curing tip distance on the degree of conversion (DC), as well as on the cell viability. The study also aimed to assess the correlation between DC% and cell viability at different light-curing tip distances.

Materials and methods

Nanocomposite discs were cured using an LED light-curing unit at distances of 0 mm (G0), 2 mm (G2), 4 mm (G4), 6 mm (G6), and 8 mm (G8) for 20 s. The DC was measured using ATR-FTIR analysis. Cell viability was assessed through MTT assay on human gingival fibroblasts. The results were analyzed using one-way ANOVA and Pearson correlation analysis.

Results

The DC at the surface was significantly higher than the bottom of the samples in all groups (p < 0.001). The DC on both surfaces decreased as the distance between the light-curing unit and the sample surface increased. Moreover, with an increase in distance, the cell viability decreased. This difference was statistically significant in all groups, except for the G0 and G2 groups (p < 0.001). The results of Pearson correlation analysis showed a positive and statistically significant correlation between cell viability and DC% at both surfaces (p < 0.05). Furthermore, a negative and statistically significant correlation was observed between tip distance and DC% at both top and bottom surfaces as well as cell viability(p < 0.05).

Conclusion

Increasing the distance from the light-curing tip adversely affects composite polymerization and biocompatibility, likely due to insufficient curing and subsequent monomer and nanoparticle release. This study emphasizes the importance of optimal curing conditions.
目的探讨光固化尖端距离对细胞转化度(DC)及细胞存活率的影响。该研究还旨在评估不同光固化尖端距离下DC%与细胞活力之间的关系。材料与方法采用LED光固化装置,分别在0 mm (G0)、2 mm (G2)、4 mm (G4)、6 mm (G6)和8 mm (G8)的距离上固化纳米复合光盘,固化时间为20 s。DC采用ATR-FTIR分析测定。采用MTT法测定人牙龈成纤维细胞的细胞活力。结果采用单因素方差分析和Pearson相关分析。结果各组样品表面DC均显著高于底部DC (p < 0.001)。随着光固化单元与样品表面距离的增加,两个表面上的直流电流减小。而且,随着距离的增加,细胞活力降低。除G0和G2组外,所有组的差异均有统计学意义(p < 0.001)。Pearson相关分析结果显示,细胞活力与两表面DC%呈正相关且有统计学意义(p < 0.05)。此外,顶端距离与顶、底表面DC%以及细胞存活率呈显著负相关(p < 0.05)。结论增加与光固化尖端的距离可能会影响复合材料的聚合和生物相容性,这可能是由于光固化不足和随后的单体和纳米颗粒释放造成的。本研究强调了最佳养护条件的重要性。
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引用次数: 0
AI-based prediction of drug-gene interactions modulating tight junction integrity: A deep learning framework highlighting multiple therapeutic targets 基于人工智能的药物-基因相互作用调节紧密连接完整性的预测:一个突出多个治疗靶点的深度学习框架
Q1 Medicine Pub Date : 2025-10-22 DOI: 10.1016/j.jobcr.2025.10.014
Varun Keskar, Amrutha Shenoy, Shreya Desai

Introduction

Tight junctions regulate epithelial and endothelial barrier function, and their dysfunction is linked to diseases such as inflammatory bowel disease, asthma, and cancer. Identifying drug-gene interactions influencing tight junctions is critical for therapeutic development. This study proposes a deep learning-based neural network framework to predict drug-induced modulation of tight junction integrity using multi-omics data.

Materials and methods

Transcriptomic data from NCBI GEO underwent preprocessing, with DEGs identified and key hub genes extracted via network analysis. A feedforward neural network was trained using these features, with performance evaluated through AUC, CA, F1-score, precision, recall, and specificity, ensuring robust predictive accuracy.

Results

The neural network model achieved an AUC of 0.947, CA of 0.980, and F1-score of 0.969, indicating excellent classification performance. Among the predicted candidates, Cimifugin was highlighted for its modulatory effects on CLDN1; additional candidates included Baicalein and Berberine.

Discussion

The deep learning model demonstrated superior predictive power compared to traditional methods, with strong precision and recall metrics. The framework provides a scalable, data-driven solution for predicting drug-induced changes in tight junction function, with significant implications for drug discovery and personalized medicine.

Conclusion

This study presents a powerful AI-based approach for discovering drug candidates targeting tight junctions, offering potential therapeutic strategies for diseases involving tight junction disruption.
紧密连接调节上皮和内皮屏障功能,其功能障碍与炎症性肠病、哮喘和癌症等疾病有关。确定影响紧密连接的药物-基因相互作用对治疗发展至关重要。本研究提出了一个基于深度学习的神经网络框架,利用多组学数据预测药物诱导的紧密连接完整性调制。材料和方法对NCBI GEO的转录组学数据进行预处理,通过网络分析确定deg并提取关键枢纽基因。使用这些特征训练前馈神经网络,并通过AUC、CA、f1评分、精度、召回率和特异性来评估其性能,以确保稳健的预测准确性。结果该神经网络模型的AUC为0.947,CA为0.980,f1评分为0.969,分类效果良好。在预测的候选药物中,Cimifugin因其对CLDN1的调节作用而备受关注;其他候选物质包括黄芩苷和小檗碱。与传统方法相比,深度学习模型显示出更强的预测能力,具有很强的精度和召回指标。该框架为预测药物引起的紧密连接功能变化提供了可扩展的、数据驱动的解决方案,对药物发现和个性化医疗具有重要意义。本研究提出了一种强大的基于人工智能的方法来发现靶向紧密连接的候选药物,为紧密连接破坏相关疾病的治疗提供了潜在的治疗策略。
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引用次数: 0
Improved classification of oral cancer through a personalized transfer learning CNN architecture 通过个性化迁移学习CNN架构改进口腔癌分类
Q1 Medicine Pub Date : 2025-10-20 DOI: 10.1016/j.jobcr.2025.10.002
Udita J. Monani , Tae Soo Yun , Mangal Sain , Prasant Kumar Pattnaik

Introduction

Oral cancer presents a significant danger to worldwide health, resulting in high death rates and substantial suffering. Early detection is crucial to improving treatment outcomes. This study uses deep learning techniques, particularly Convolutional Neural Networks (CNNs) and transfer learning methodologies, to propose a dependable machine learning system for oral cancer detection.

Materials and methods

The proposed model leverages CNNs and transfer learning, followed by two sequential fully connected operations: FC1 (Feature Embedding) to consolidate learned features and FC2 (Classification Head) for final classification. Despite a small dataset and imbalanced class distribution, the model was trained and evaluated using carefully selected performance metrics including accuracy, precision, recall, F1-score, and ROC-AUC. These metrics were specifically chosen to address the challenges of imbalanced datasets, where accuracy alone can be misleading. Class imbalance was addressed through the Synthetic Minority Oversampling Technique (SMOTE), data augmentation, and careful preprocessing strategies. The performance was validated through confusion matrices and AUC-ROC analyses to ensure reliability. However, external validation was not performed, representing a limitation of this study.

Results

The model achieved an F1-score of 81.48 %, accuracy of 81.38 %, precision of 84.62 %, recall of 78.57 %, and a ROC-AUC score of 0.9082 on the test dataset. During training, it achieved higher metrics: accuracy of 96.94 %, precision of 97.92 %, recall of 96.17 %, F1-score of 97.04 %, and a ROC-AUC score of 0.9967.

Conclusion

This research highlights how artificial intelligence can impact clinical workflows in detecting cancer early. The results offer a hopeful path for advancements in automated cancer diagnosis technologies.
口腔癌对全世界的健康构成重大威胁,造成高死亡率和巨大痛苦。早期发现对改善治疗效果至关重要。本研究使用深度学习技术,特别是卷积神经网络(cnn)和迁移学习方法,提出了一种可靠的口腔癌检测机器学习系统。材料和方法该模型利用cnn和迁移学习,然后进行两个顺序的全连接操作:FC1 (Feature Embedding)巩固学习到的特征,FC2 (Classification Head)进行最终分类。尽管数据集较小且类别分布不平衡,但我们使用精心选择的性能指标(包括准确性、精密度、召回率、f1分数和ROC-AUC)对模型进行了训练和评估。这些指标是专门为解决不平衡数据集的挑战而选择的,其中准确性本身可能会产生误导。通过合成少数过采样技术(SMOTE)、数据增强和仔细的预处理策略来解决类失衡问题。通过混淆矩阵和AUC-ROC分析来验证其性能,以确保可靠性。然而,没有进行外部验证,这代表了本研究的局限性。结果该模型在测试数据集上的f1得分为81.48%,准确率为81.38%,精密度为84.62%,召回率为78.57%,ROC-AUC得分为0.9082。在训练过程中,准确率达到96.94%,准确率为97.92%,召回率为96.17%,f1得分为97.04%,ROC-AUC得分为0.9967。结论本研究突出了人工智能如何影响早期发现癌症的临床工作流程。这一结果为自动化癌症诊断技术的发展提供了一条充满希望的道路。
{"title":"Improved classification of oral cancer through a personalized transfer learning CNN architecture","authors":"Udita J. Monani ,&nbsp;Tae Soo Yun ,&nbsp;Mangal Sain ,&nbsp;Prasant Kumar Pattnaik","doi":"10.1016/j.jobcr.2025.10.002","DOIUrl":"10.1016/j.jobcr.2025.10.002","url":null,"abstract":"<div><h3>Introduction</h3><div>Oral cancer presents a significant danger to worldwide health, resulting in high death rates and substantial suffering. Early detection is crucial to improving treatment outcomes. This study uses deep learning techniques, particularly Convolutional Neural Networks (CNNs) and transfer learning methodologies, to propose a dependable machine learning system for oral cancer detection.</div></div><div><h3>Materials and methods</h3><div>The proposed model leverages CNNs and transfer learning, followed by two sequential fully connected operations: FC1 (Feature Embedding) to consolidate learned features and FC2 (Classification Head) for final classification. Despite a small dataset and imbalanced class distribution, the model was trained and evaluated using carefully selected performance metrics including accuracy, precision, recall, F1-score, and ROC-AUC. These metrics were specifically chosen to address the challenges of imbalanced datasets, where accuracy alone can be misleading. Class imbalance was addressed through the Synthetic Minority Oversampling Technique (SMOTE), data augmentation, and careful preprocessing strategies. The performance was validated through confusion matrices and AUC-ROC analyses to ensure reliability. However, external validation was not performed, representing a limitation of this study.</div></div><div><h3>Results</h3><div>The model achieved an F1-score of 81.48 %, accuracy of 81.38 %, precision of 84.62 %, recall of 78.57 %, and a ROC-AUC score of 0.9082 on the test dataset. During training, it achieved higher metrics: accuracy of 96.94 %, precision of 97.92 %, recall of 96.17 %, F1-score of 97.04 %, and a ROC-AUC score of 0.9967.</div></div><div><h3>Conclusion</h3><div>This research highlights how artificial intelligence can impact clinical workflows in detecting cancer early. The results offer a hopeful path for advancements in automated cancer diagnosis technologies.</div></div>","PeriodicalId":16609,"journal":{"name":"Journal of oral biology and craniofacial research","volume":"15 6","pages":"Pages 1779-1785"},"PeriodicalIF":0.0,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145324559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Amnion mesenchymal stem cell metabolites reduce inflammation in diabetic salivary gland defect rat models 羊膜间充质干细胞代谢物减少糖尿病唾液腺缺损大鼠模型的炎症
Q1 Medicine Pub Date : 2025-10-18 DOI: 10.1016/j.jobcr.2025.10.013
Diah Savitri Ernawati , Karlina Puspasari , Gremita Kusuma Dewi , Desiana Radithia , Nurina Febriyanti Ayuningtyas , Reiska Kumala Bakti , Satutya Wicaksono , Meircurius Dwi Condro Surboyo , Madhu Shrestha , Alexander Patera Nugraha , Igo Saiful Ihsan , Wibi Riawan , Annissaqiella Maharani , Sri Dewanthy Putri , Adhistya Viany

Objectives

Hyposalivation or xerostomia are well-established intraoral complications of diabetes mellitus (DM). Amniotic Mesenchymal Stem Cell Metabolite Products (AMSC-MPs) are being widely studied for their immunomodulatory action. However, their potential in a salivary gland defect model has yet to be explored. This study aims to determine the potential of AMSC-MPs in modulating the inflammatory response in the salivary glands of rats with persistent hyperglycemia, mimicking the pathogenesis of salivary gland disorders in DM.

Methods

Forty-eight male pre-conditioned diabetic rats were divided into treatment and control groups. The treatment group received AMSC-MPs intraglandular injections, while the control group received phosphate-buffered saline intraglandular injections. Both groups were injected for 3, 5, 7, and 10 consecutive days. Subsequently, the submandibular salivary glands were biopsied and processed for formalin-fixed paraffin-embedded tissue for immunohistochemical assessment. The inflammatory response was assessed by quantifying the expression of tumor necrosis factor α (TNF-α), interleukin 6 (IL-6), interleukin 10 (IL-10), and transforming growth factor β (TGF-β).

Results

This study found significant downregulation of inflammatory cytokines, TNF-α and IL-6, in the AMSC-MPs intraglandular injections compared to the control (p < 0.05). Moreover, IL-10 and TGF-β expression, which may act as anti-inflammatory cytokines in this pathology, was significantly upregulated compared to the control (p < 0.05).

Conclusion

Our study demonstrated the anti-inflammatory potential of AMSC-MPs intraglandular injections in a diabetes-induced salivary gland defect rat model.
目的:口涎减少或口干是糖尿病(DM)常见的口腔内并发症。羊膜间充质干细胞代谢物(AMSC-MPs)因其免疫调节作用而被广泛研究。然而,它们在唾液腺缺陷模型中的潜力还有待探索。本研究旨在探讨AMSC-MPs对持续高血糖大鼠唾液腺炎症反应的调节作用,模拟糖尿病唾液腺疾病的发病机制。方法48只雄性糖尿病预适应大鼠分为治疗组和对照组。治疗组给予AMSC-MPs腺内注射,对照组给予磷酸盐缓冲生理盐水腺内注射。两组均连续注射3、5、7、10 d。随后,对下颌骨唾液腺进行活检,并对福尔马林固定石蜡包埋组织进行免疫组织化学评估。通过量化肿瘤坏死因子α (TNF-α)、白细胞介素6 (IL-6)、白细胞介素10 (IL-10)和转化生长因子β (TGF-β)的表达来评估炎症反应。结果本研究发现,与对照组相比,腺内注射的AMSC-MPs炎症细胞因子TNF-α和IL-6明显下调(p < 0.05)。与对照组相比,IL-10和TGF-β的表达显著上调(p < 0.05)。IL-10和TGF-β可能在该病理中起到抗炎细胞因子的作用。结论在糖尿病大鼠唾液腺缺损模型中,腺内注射AMSC-MPs具有抗炎作用。
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引用次数: 0
期刊
Journal of oral biology and craniofacial research
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