Diagnosis of Periodontal Diseases by Biomarkers
-
- Kido Jun-ichi
- Institute of Health Biosciences, The University of Tokushima Graduate School
-
- Hino Mami
- Health Technology Research Center, National Institute of Advanced Industrial Science and Technology(AIST)
-
- Bando Mika
- Institute of Health Biosciences, The University of Tokushima Graduate School
-
- Hiroshima Yuka
- Institute of Health Biosciences, The University of Tokushima Graduate School
Bibliographic Information
- Other Title
-
- バイオマーカーを用いた歯周病診断
- バイオマーカー オ モチイタ シシュウビョウ シンダン
Search this article
Description
Many middle aged and old persons take periodontal diseases that mainly cause teeth loss and result in some systemic diseases. The prevention of periodontal diseases is very important for oral and systemic health, but the present diagnostic examination is not fully objective and suitable. To diagnose periodontal diseases exactly, some biomarkers shown inflammation, tissue degradation and bone resorption, in gingival crevicular fluid (GCF) and saliva are known. We demonstrated that GCF levels of calprotectin, inflammation-related protein, and carboxy-terminal propeptide of type I procollagen, bone metabolism-related protein, were associated with clinical condition of periodontal diseases, and suggested that these proteins may be useful biomarkers for periodontal diseases. Recently, determinations of genes and proteins by using microdevices are studied for diagnosis of some diseases. We detected calprotectin protein by chemiluminescent immunoassay on a microchip and showed the possibility of specific and quantitative detection of calprotectin in a very small amount of GCF. To determine plural markers in GCF by using microdevices contributes to develop accurate, objective diagnostic system of periodontal diseases.
Journal
-
- IEEJ Transactions on Electronics, Information and Systems
-
IEEJ Transactions on Electronics, Information and Systems 129 (2), 233-237, 2009
The Institute of Electrical Engineers of Japan
- Tweet
Details 詳細情報について
-
- CRID
- 1390282679582732032
-
- NII Article ID
- 10023999637
- 210000171645
-
- NII Book ID
- AN10065950
-
- ISSN
- 13488155
- 15206416
- 03854221
- 04247760
-
- NDL BIB ID
- 10162638
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
-
- Abstract License Flag
- Disallowed