Autor: |
Jussi M. Leppilahti, Taina Tervahartiala, Hannu Kautiainen, Ismo Räisänen, Minna‐Maija Ahonen, Veli‐Jukka Uitto, Timo Sorsa, Päivi Mäntylä |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
Clinical and Experimental Dental Research, Vol 9, Iss 6, Pp 1021-1033 (2023) |
Druh dokumentu: |
article |
ISSN: |
2057-4347 |
DOI: |
10.1002/cre2.803 |
Popis: |
Abstract Objectives The aim of this study is to examine correlations between different oral rinse matrix metalloproteinase (MMP)‐8 protein species in western blot (WB) analysis, quantitative MMP‐8 measurements, and patient‐related factors. Elevated activated MMP‐8 (aMMP‐8) associate with periodontitis and a diagnostic point‐of‐care technology has been developed based on aMMP‐8. In WB, different MMP‐8 protein species can be analyzed. Relative abundancy of fragmented 20–25 kDa forms in WB has been associated with and reflects MMP‐8 activation and related fragmentation and elevated quantitative aMMP‐8 measurements. Material and Methods A random sample of 192 participants from a periodontal disease screening study was used for this study. Oral rinse samples for biomarker analyses were collected before clinical periodontal examinations. aMMP‐8 immunofluorometric (IFMA) and WB analysis (utilizing the same monoclonal antibody, 8708), polymorphonuclear leukocyte (PMN) elastase activity test and tissue inhibitor of metalloproteinases (TIMP)‐1 ELISA levels were performed from the oral rinse samples. Distinct MMP‐8 protein species were differentiated in the WB analysis. Principal component (PC) analysis was conducted to explore correlation patterns between the different species. Adjusted correlation analysis between the extracted PCs of WB and aMMP‐8 IFMA levels and multilevel regression analysis were conducted to explore if the other periodontal disease‐related biomarkers and clinical surrogate measures and patient‐related factors are co‐variating with the extracted components. Results Distinct correlation patterns between the MMP‐8 protein species were observed. The first four PCs explained 89% of the whole variance in PC analysis. Statistically significant correlation (p |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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