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Objective: To evaluate the effect of the probiotic Bifidobacterium animalis subsp. lactis (B. lactis) HN019, as an irrigation solution, on the expression of neutrophil extracellular traps (NETs) and the antimicrobial peptide CRAMP, in rats with induced periapical lesions.
Methodology: Periapical lesions were induced in the first molars of forty-five Wistar Hannover rats, with an experimental period of 21 days. The animals were divided into groups based on the irrigating solution and the number of sessions. Semiquantitative analysis was performed using HE staining, neutrophil counts, and histomorphometric analysis of the periapical lesions. Additionally, immunohistochemistry for CRAMP and immunofluorescence for NETs markers such as H3Cit, MPO, and NE were conducted. qRT-PCR analysis was performed for CAMP, ELANE, MPO, and H3F3B.
Results: The probiotic irrigation groups showed better results for periodontal ligament parameters (p = 0.03) and inflammatory infiltrate (p = 0.004). A single probiotic irrigation resulted in the highest absence of cementum and bone resorption (85.71% and 71.43%). The periapical lesion area was smaller (p = 0.002), and neutrophil counts showed no difference (p = 0.064). Lower immunolabeling for H3Cit (p = 0.002), MPO (p < 0.001), and NE (p = 0.001) was observed in probiotic-irrigated groups, with reduced gene expression of CAMP (p < 0.001), MPO (p = 0.002), and ELANE (p = 0.001).
Conclusion: The probiotic-based irrigation solution was effective in reducing neutrophil extracellular trap formation. Additionally, the probiotic solution stimulated CRAMP expression and had a positive effect in preventing cementum and bone resorption.
Clinical Relevance: The results demonstrate the potential application of the probiotic-based irrigation solution as a promising therapeutic approach for the treatment of periapical lesions.
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http://dx.doi.org/10.1007/s00784-025-06383-5 | DOI Listing |
J Endod
September 2025
University of Texas Health at San Antonio, Department of Endodontics; San Antonio, Texas, USA. Electronic address:
Introduction: Although several elegant studies have reported apical periodontitis prevalence in different populations, far less is known about its associated bone loss and its correlation to sex and age. Thus, this study investigated the impact of sex and age differences on the severity of apical periodontitis (AP) using cone-beam computed tomography (CBCT) and a volumetric periapical index (CBCT-PAI).
Material And Methods: CBCT scans of 401 patients (1,027 teeth) were analyzed by calibrated examiners in CBCTPAI.
Zhonghua Kou Qiang Yi Xue Za Zhi
September 2025
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China.
Cureus
July 2025
Department of Orthodontics, Kothiwal Dental College and Research Centre, Moradabad, IND.
Introduction: The present study evaluated the clinical and patient-centered outcomes of nonsurgical retreatment of endodontically treated teeth. The primary goal was to assess the success rate, defined by clinical and radiographic criteria, while the secondary objectives focused on patient-reported quality-of-life outcomes using a validated oral health-related quality-of-life (OHRQoL) questionnaire.
Materials And Methods: This prospective cohort study was conducted from January 2024 to April 2025 at the Department of Conservative Dentistry and Endodontics and included 100 systemically healthy adults (aged 18-60 years) requiring retreatment of endodontically treated teeth.
Diagnostics (Basel)
August 2025
Computer Engineering Department, Engineering and Architecture Faculty, Eskisehir Osmangazi University, Eskisehir 26040, Türkiye.
: Clinicians routinely rely on periapical radiographs to identify root-end disease, but interpretation errors and inconsistent readings compromise diagnostic accuracy. We, therefore, developed an explainable, multimodal AI framework that (i) fuses two data modalities, deep CNN embeddings and radiomic texture descriptors that are extracted only from lesion-relevant pixels selected by Grad-CAM, and (ii) makes every prediction transparent through dual-layer explainability (pixel-level Grad-CAM heatmaps + feature-level SHAP values). : A dataset of 2285 periapical radiographs was processed using six CNN architectures (EfficientNet-B1/B4/V2M/V2S, ResNet-50, Xception).
View Article and Find Full Text PDFDent Med Probl
August 2025
Department of Pediatric Dentistry, Tekirdağ Namık Kemal University, Turkey.
Background: Artificial intelligence (AI) systems have the potential to revolutionize the fields of medicine and dentistry by identifying solutions for managing multiple clinical problems. This greatly facilitates the tasks of physicians. Bibliometric studies not only provide insight into the history of a particular topic, but also help to determine how the work evolves over time, and to identify interesting new research.
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