Salivary exRNA biomarkers to detect gingivitis and monitor disease regression

Autor: Paulo M. Camargo, Manjiri Vartak, Virginia Barnes, Perry R. Klokkevold, Feng Li, David Akin, Patricia O. Lima, Karan Dharia, Frederico O. Gleber-Netto, Tristan Grogan, Masters James G, Carmen Martín Carreras-Presas, Hyo-Jung Lee, David Elashoff, David T.W. Wong, Katri Aro, Harsh M. Trivedi, William DeVizio, Hiba Al-adbullah, Kanika Bembey, William V. Giannobile, Rose Richter, Karolina Elżbieta Kaczor-Urbanowicz, Yair Y. Whiteman, Saarah Amuthan
Rok vydání: 2017
Předmět:
0301 basic medicine
Oncology
Saliva
medicine.medical_specialty
Gingiva
Odontología
Article
03 medical and health sciences
Gingivitis
Tratamiento médico
0302 clinical medicine
Clinical Research
Internal medicine
Genetics
Medicine
Humans
Dental/Oral and Craniofacial Disease
Disease regression
saliva
screening and diagnosis
business.industry
Marcadores biológicos
Prevention
Human Genome
Dental Plaque Index
Clinical performance
Area under the curve
biomarkers
030206 dentistry
4.1 Discovery and preclinical testing of markers and technologies
monitoring
Detection
Infectious Diseases
030104 developmental biology
Real-time polymerase chain reaction
Dentistry
Periodontics
Biomarker (medicine)
Generic health relevance
medicine.symptom
exRNA
business
Biomarkers
4.2 Evaluation of markers and technologies
Extracellular RNA
Zdroj: Journal of clinical periodontology, vol 45, iss 7
ISSN: 1600-051X
Popis: This study tests the hypothesis that salivary extracellular RNA (exRNA) biomarkers can be developed for gingivitis detection and monitoring disease regression. MATERIALS AND METHODS: Salivary exRNA biomarker candidates were developed from a total of 100 gingivitis and non-gingivitis individuals using Affymetrix's expression microarrays. The top 10 differentially expressed exRNAs were tested in a clinical cohort to determine whether the discovered salivary exRNA markers for gingivitis were associated with clinical gingivitis and disease regression. For this purpose, unstimulated saliva was collected from 30 randomly selected gingivitis subjects, the gingival and plaque indexes scores were taken at baseline, 3 and 6 weeks and salivary exRNAs were assayed by means of reverse transcription quantitative polymerase chain reaction. RESULTS: Eight salivary exRNA biomarkers developed for gingivitis were statistically significantly changed over time, consistent with disease regression. A panel of four salivary exRNAs [SPRR1A, lnc-TET3-2:1, FAM25A, CRCT1] can detect gingivitis with a clinical performance of 0.91 area under the curve, with 71% sensitivity and 100% specificity. CONCLUSIONS: The clinical values of the developed salivary exRNA biomarkers are associated with gingivitis regression. They offer strong potential to be advanced for definitive validation and clinical laboratory development test. 2016UEM23 4.164 JCR (2018) Q1, 4/91 Dentistry, Oral Surgery & Medicine 2.581 SJR (2018) Q1, 2/12 Periodontics No data IDR 2018 UEM
Databáze: OpenAIRE
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