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Salivary exRNA biomarkers to detect gingivitis and monitor disease regression
dc.contributor.authorKaczor‐urbanowicz, Karolina E.
dc.contributor.authorTrivedi, Harsh M.
dc.contributor.authorLima, Patricia O.
dc.contributor.authorCamargo, Paulo M.
dc.contributor.authorGiannobile, William V.
dc.contributor.authorGrogan, Tristan R.
dc.contributor.authorGleber‐netto, Frederico O.
dc.contributor.authorWhiteman, Yair
dc.contributor.authorLi, Feng
dc.contributor.authorLee, Hyo Jung
dc.contributor.authorDharia, Karan
dc.contributor.authorAro, Katri
dc.contributor.authorMartin Carreras‐presas, Carmen
dc.contributor.authorAmuthan, Saarah
dc.contributor.authorVartak, Manjiri
dc.contributor.authorAkin, David
dc.contributor.authorAl‐adbullah, Hiba
dc.contributor.authorBembey, Kanika
dc.contributor.authorKlokkevold, Perry R.
dc.contributor.authorElashoff, David
dc.contributor.authorBarnes, Virginia M.
dc.contributor.authorRichter, Rose
dc.contributor.authorDeVizio, William
dc.contributor.authorMasters, James G.
dc.contributor.authorWong, David T. W.
dc.date.accessioned2018-07-13T15:47:35Z
dc.date.available2019-09-04T20:15:39Zen
dc.date.issued2018-07
dc.identifier.citationKaczor‐urbanowicz, Karolina E. ; Trivedi, Harsh M.; Lima, Patricia O.; Camargo, Paulo M.; Giannobile, William V.; Grogan, Tristan R.; Gleber‐netto, Frederico O. ; Whiteman, Yair; Li, Feng; Lee, Hyo Jung; Dharia, Karan; Aro, Katri; Martin Carreras‐presas, Carmen ; Amuthan, Saarah; Vartak, Manjiri; Akin, David; Al‐adbullah, Hiba ; Bembey, Kanika; Klokkevold, Perry R.; Elashoff, David; Barnes, Virginia M.; Richter, Rose; DeVizio, William; Masters, James G.; Wong, David T. W. (2018). "Salivary exRNA biomarkers to detect gingivitis and monitor disease regression." Journal of Clinical Periodontology 45(7): 806-817.
dc.identifier.issn0303-6979
dc.identifier.issn1600-051X
dc.identifier.urihttps://hdl.handle.net/2027.42/144647
dc.description.abstractAimThis study tests the hypothesis that salivary extracellular RNA (exRNA) biomarkers can be developed for gingivitis detection and monitoring disease regression.Materials and MethodsSalivary exRNA biomarker candidates were developed from a total of 100 gingivitis and nonâ 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.ResultsEight salivary exRNA biomarkers developed for gingivitis were statistically significantly changed over time, consistent with disease regression. A panel of four salivary exRNAs [SPRR1A, lncâ TET3â 2:1, FAM25A, CRCT1] can detect gingivitis with a clinical performance of 0.91 area under the curve, with 71% sensitivity and 100% specificity.ConclusionsThe 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.
dc.publisherR Foundation for Statistical Computing
dc.publisherWiley Periodicals, Inc.
dc.subject.otherbiomarkers
dc.subject.otherexRNA
dc.subject.othergingivitis
dc.subject.othermonitoring
dc.subject.othersaliva
dc.titleSalivary exRNA biomarkers to detect gingivitis and monitor disease regression
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelDentistry
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/144647/1/jcpe12930.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/144647/2/jcpe12930_am.pdf
dc.identifier.doi10.1111/jcpe.12930
dc.identifier.sourceJournal of Clinical Periodontology
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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