Diagnostic Accuracy of Oral Fluids Biomarker Profile to Determine the Current and Future Status of Periodontal and Peri-Implant Diseases

Severe periodontitis is ranked as the sixth most prevalent disease affecting humankind, with an estimated 740 million people affected worldwide. The diagnosis of periodontal diseases mainly relies upon assessment of conventional clinical parameters. However, these parameters reflect past, rather than current, clinical status or future disease progression and, likely, outcome of periodontal treatment. Specific and sensitive biomarkers for periodontal diseases have been examined widely to address these issues and some biomarkers have been translated as point-of-care (PoC) tests. The aim of this review was to provide an update on PoC tests for use in the diagnosis and management of periodontal diseases. Among the PoC tests developed so far, active matrix metalloproteinase-8 has shown promising results in terms of diagnostic and prognostic values. However, further studies are required to increase the sensitivity and specificity via combining more than one biomarker and merging these test kits with periodontal risk assessment tools. Furthermore, the validity of these test kits needs to be investigated by applying the results in further independent studies and the impact on these test kits', together with the results of risk factors for periodontal diseases, such as diabetes and smoking, also needs to be examined.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:10

Enthalten in:

Diagnostics (Basel, Switzerland) - 10(2020), 10 vom: 18. Okt.

Sprache:

Englisch

Beteiligte Personen:

Gul, Sarhang S [VerfasserIn]
Abdulkareem, Ali A [VerfasserIn]
Sha, Aram M [VerfasserIn]
Rawlinson, Andrew [VerfasserIn]

Links:

Volltext

Themen:

Biomarkers
Diagnostic
Journal Article
MMP8
Periodontal diseases
Point-of-care test
Prognostic
Review

Anmerkungen:

Date Revised 03.11.2020

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/diagnostics10100838

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM316502960