Molecular size distribution analysis of human gingival proteoglycans and glycosaminoglycans in specific periodontal diseases


Yamalik N. , Kilinc K., Caglayan F. , Eratalay K., Caglayan G.

JOURNAL OF CLINICAL PERIODONTOLOGY, cilt.25, ss.145-152, 1998 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 25 Konu: 2
  • Basım Tarihi: 1998
  • Doi Numarası: 10.1111/j.1600-051x.1998.tb02420.x
  • Dergi Adı: JOURNAL OF CLINICAL PERIODONTOLOGY
  • Sayfa Sayıları: ss.145-152

Özet

In order to determine the molecular-size distribution of gingival proteoglycans (PGs) and glycosaminoglycans (GAGs) both in periodontal health and disease states, gingival tissues were obtained from patients with early onset periodontitis (EOP) and adult periodontitis (AP) and also from periodontally healthy subjects. Gel filtration chromatography of gingival PGs revealed different profiles for periodontally diseased and healthy gingiva. Healthy gingiva was mainly composed of high-molecular size proteins and PGs, while diseased gingival tissue presented a decrease in high-molecular size PG forms and a shift towards low-molecular size proteins and PGs. This indicates the degradation of PG macromolecules during periodontal disease activity. Furthermore, this shift towards low-molecular size forms was more intense in EOP patients when compared to AP patients. Gel filtration of gingival GAGs also demonstrated depolymerization of GAGs, with low-molecular size GAGs being more intense in periodontally diseased gingiva, while healthy gingival GAGs profile was mainly composed of high-molecular size GAGs. Similar to the profile of gingival PGs, low-molecular size gingival GAGs were more prominent in gingival tissue from patients with EOP. These findings suggest that both PGs and GAGs, essential components of the extracellular matrix (ECM), are depolymerized during periodontal disease activity, which is more prominent in EOP. Since the basic feature of periodontal disease is matrix degradation, ECM components, more specifically PGs and GAGs, are likely to provide valuable information for a better understanding of periodontal disease activity.