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Salivary exRNA biomarkers to detect gingivitis and monitor disease regression
Author(s) -
KaczorUrbanowicz Karolina E.,
Trivedi Harsh M.,
Lima Patricia O.,
Camargo Paulo M.,
Giannobile William V.,
Grogan Tristan R.,
GleberNetto Frederico O.,
Whiteman Yair,
Li Feng,
Lee Hyo Jung,
Dharia Karan,
Aro Katri,
Martin CarrerasPresas Carmen,
Amuthan Saarah,
Vartak Manjiri,
Akin David,
Aladbullah Hiba,
Bembey Kanika,
Klokkevold Perry R.,
Elashoff David,
Barnes Virginia M.,
Richter Rose,
DeVizio William,
Masters James G.,
Wong David T. W.
Publication year - 2018
Publication title -
journal of clinical periodontology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.456
H-Index - 151
eISSN - 1600-051X
pISSN - 0303-6979
DOI - 10.1111/jcpe.12930
Subject(s) - gingivitis , biomarker , medicine , saliva , dentistry , biology , biochemistry
Aim 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.