Research
Topics:
INDEX
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unk
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war-confl
 
Scanned: 1397
Evaluated: 447
Selected: 78
 
    DENTAL    MICROBIOME    NUTRITION   

Mde17-002

Diet Explains Significant Variance in Oral Microbial Community Structure

Quote: Healthier dietary profiles, including higher health-associated dietary index scores and greater vegetable and fruit intake, were associated with taxa commonly linked to oral health (e.g., Neisseria, Cardiobacterium and Lautropia). In contrast, added sugars, alcoholic drinks, cured meat, potatoes, dairy products, and higher dietary inflammatory index scores showed opposite association patterns. Mediation analyses suggested that coordinated microbial groups may partly link dietary exposures with oral disease outcomes, particularly for vegetables and added sugars. Additionally, three population-level dietary patterns were identified, among which the plant-rich pattern was associated with more favorable oral health and microbial profiles enriched in nitrate-reducing commensals, including Neisseria and Haemophilus
Abstract: https://www.medrxiv.org/content/10.64898/2026.04.24.26351661v1
Full Text: https://www.medrxiv.org/content/10.64898/2026.04.24.26351661v1.full-text
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Search Authors: Yu Xie Mengning Bi Wen Gu Yuan Li Andrea Roccuzzo Bob T. Rosier Maurizio S. Tonetti, 
    DENTAL   

Mde17-004

AI-Based Clinical Decision Support Systems for Secondary Caries on Bitewings: A Multi-Algorithm Comparison

Quote: Clinical Significance AI-based CDSSs assist clinicians by providing consistent detection. Their high specificity is particularly valuable in minimizing unnecessary invasive treatments (overtreatment), though they should be used as adjuncts rather than a replacement for expert judgment.
Abstract: https://www.medrxiv.org/content/10.64898/2026.04.17.26350883v1
Full Text: https://www.medrxiv.org/content/10.64898/2026.04.17.26350883v1.full-text
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Search Authors: E.T. Chaves J.T. Domburg V.H. Digmayer Romero N. van Nistelrooij S. Vinayahalingam D. Sezen-Hulsmans F.M. Mendes M.C. Huysmans M.S. Cenci G.d.S. Lima, 
    DENTAL   

Mde17-006

Severe Periodontitis Biomarker Identification by Deep Salivary Proteome Profiling with Astral DIA Mass Spectrometry

Quote: Conclusions To our knowledge, this study represents the first application of Orbitrap Astral DIA mass spectrometry in periodontitis research, establishing a disease-specific DEPs atlas and a salivary biomarker panel with high diagnostic accuracy for stage III/IV periodontitis, providing a foundation for future external validation studies.
Abstract: https://www.medrxiv.org/content/10.64898/2026.04.24.26351658v1
Full Text: https://www.medrxiv.org/content/10.64898/2026.04.24.26351658v1.full-text
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Search Authors: Xiaoyu Yu Runting Yan Hairui Li Yu Xie Mengning Bi Yuan Li Andrea Roccuzzo Maurizio S. Tonetti, 
    DENTAL    METABOLISM   

Mde17-008

Localized prebiotic nitrate supplementation remodels oral biofilm metabolism and reduces gingival inflammation: a randomized placebo-controlled trial

Quote: Conclusions Localized prebiotic nitrate supplementation was associated with reduced gingival inflammation and shifts in oral microbiome composition consistent with enhanced nitrate-reducing capacity critical in nitric oxide formation. These findings support a role for biofilm-directed nutritional modulation as a non-antimicrobial approach for managing gingival inflammation and improving nitric oxide bioavailability.
Abstract: https://www.medrxiv.org/content/10.64898/2026.04.22.26351516v1
Full Text: https://www.medrxiv.org/content/10.64898/2026.04.22.26351516v1.full-text
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Search Authors: Brianne Yi Hee Yeon Kim William Sotka Robert Estey Shawn J Green Harlan J. Shiau, 
    DENTAL   

Mde17-014

Automated Detection of Dental Caries and Bone Loss on Periapical and Bitewing Radiographs using a YOLO Based Deep Learning Model

Quote: Conclusion The YOLOv8-based models demonstrated high accuracy and high sensitivity for detecting dental caries and alveolar bone loss on periapical radiographs. The system shows significant potential as a reliable automated assistant for dental practitioners, helping to improve diagnostic consistency, reduce the risk of missed pathology, and ultimately enhance the standard of patient care.
Abstract: https://www.medrxiv.org/content/10.64898/2026.04.12.26350726v1
Full Text: https://www.medrxiv.org/content/10.64898/2026.04.12.26350726v1.full-text
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Search Authors: Hend Alqaderi Utsavi Kapadia Yash Brahmbhatt Aikaterini Papathanasiou Dara Rodgers Peter Arsenault Justin Cardarelli Athanasios Zavras Hengxu Li, 
    DENTAL   

Sda171-032

New Toothpaste Stops Gum Disease Without Killing Good Bacteria

Quote: Scientists have developed a new way to fight gum disease without wiping out the mouths helpful bacteriaa major shift from traditional treatments. Instead of killing everything, this targeted approach blocks only the harmful microbes that drive ...
Article: https://www.sciencedaily.com/releases/2026/04/260413043141.htm
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  Javilk's Research Links for Week 17
Updated 05/02/2026-01:34:02 AM
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