Oral Leukoplakia Microbiome Predicts the Degree of Dysplasia and is Shaped by Smoking and Tooth Loss.

IF 2.9 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE
Oral diseases Pub Date : 2025-06-01 Epub Date: 2025-02-04 DOI:10.1111/odi.15272
Sheila Galvin, Bahman Honari, Sviatlana Anishchuk, Claire M Healy, Gary P Moran
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引用次数: 0

Abstract

Objective: This study aimed to determine if the oral potentially malignant disorder, oral leukoplakia (OLK), exhibited microbiome changes that predict the degree of dysplasia and the risk of malignant progression.

Results: We examined the microbiome in 216 swabs of OLK from 177 patients. Compared to healthy controls (n = 120 swabs from 61 patients), who were less likely to smoke and had better oral health, OLK patients exhibited an increased abundance of Rothia mucilaginosa, Streptococcus parasanguinis and S. salivarius, resembling acetaldehyde generating communities described previously. Compared to the patients' healthy contralateral normal (CLN) mucosa (n = 202), which acts as a matched control for oral health parameters, OLK exhibited increased S. infantis, Leptotrichia spp., Bergeyella spp., Porphyromonas spp. and F. nucleatum. Machine learning with clinical and microbiome data could discriminate high-risk dysplasia (moderate to severe) from low-risk dysplasia (none or mild) (sensitivity 87.4%; specificity 76.5%). Follow-up swabs were recovered from 58 patients, eight of whom progressed to a higher grade of dysplasia or OSCC and these eight patients exhibited a higher abundance of Fusobacterium species at their initial presentation.

Conclusions: Our study suggests that the OLK microbiome has potential to be an aid to the prediction of dysplasia grade and the risk of malignant transformation.

口腔白斑微生物组预测发育不良的程度,并由吸烟和牙齿脱落形成。
目的:本研究旨在确定口腔潜在恶性疾病口腔白斑(OLK)是否表现出预测发育不良程度和恶性进展风险的微生物组变化。结果:我们在177例患者的216份OLK拭子中检测了微生物组。与健康对照组(来自61名患者的120份拭子)相比,他们吸烟的可能性较小,口腔健康状况较好,OLK患者表现出粘液罗氏菌、副血链球菌和唾液链球菌的丰富度增加,类似于前面描述的乙醛生成群落。与作为口腔健康参数匹配对照的健康对侧正常(CLN)粘膜(n = 202)相比,OLK显示出婴儿链球菌、钩毛菌、伯格氏菌、卟啉单胞菌和核胞梭菌的增加。结合临床和微生物组数据的机器学习可以区分高风险发育不良(中度至重度)和低风险发育不良(无或轻度)(敏感性87.4%;特异性76.5%)。对58例患者进行了随访,其中8例发展为更高级别的不典型增生或OSCC,这8例患者在最初出现时表现出更高的梭杆菌种类。结论:我们的研究表明,OLK微生物组有可能有助于预测不典型增生等级和恶性转化的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Oral diseases
Oral diseases 医学-牙科与口腔外科
CiteScore
7.60
自引率
5.30%
发文量
325
审稿时长
4-8 weeks
期刊介绍: Oral Diseases is a multidisciplinary and international journal with a focus on head and neck disorders, edited by leaders in the field, Professor Giovanni Lodi (Editor-in-Chief, Milan, Italy), Professor Stefano Petti (Deputy Editor, Rome, Italy) and Associate Professor Gulshan Sunavala-Dossabhoy (Deputy Editor, Shreveport, LA, USA). The journal is pre-eminent in oral medicine. Oral Diseases specifically strives to link often-isolated areas of dentistry and medicine through broad-based scholarship that includes well-designed and controlled clinical research, analytical epidemiology, and the translation of basic science in pre-clinical studies. The journal typically publishes articles relevant to many related medical specialties including especially dermatology, gastroenterology, hematology, immunology, infectious diseases, neuropsychiatry, oncology and otolaryngology. The essential requirement is that all submitted research is hypothesis-driven, with significant positive and negative results both welcomed. Equal publication emphasis is placed on etiology, pathogenesis, diagnosis, prevention and treatment.
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