• Users Online: 454
  • Home
  • Print this page
  • Email this page
Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 
Year : 2011  |  Volume : 1  |  Issue : 2  |  Page : 93-95

Comparison of enzyme β-glucuronidase levels around healthy and diseased implants: A clinical study

1 Associate Professor, Dept. of Periodontics, Tagore Dental College and Hospital, Chennai, India
2 Professor, Dept. of Periodontics, Meenakshi Ammal Dental College and Hospital, Chennai, India

Correspondence Address:
M N Prabhu
253, III Main Road, TNHB, Velachery, Chennai - 600 042
Login to access the Email id

Source of Support: None, Conflict of Interest: None

Rights and PermissionsRights and Permissions

The sulcus formed around the prosthesis of the implant is termed as 'peri-implant sulcus' and the fluid found in this sulcus is called 'peri-implant sulcular fluid'. ƒΐ-glucuronidase enzyme is an indicator of polymorphonuclear (PMN) influx into the sulcus. ƒΐ-glucuronidase together with hyaluronidase is involved in the catabolism of proteoglycans. The purpose of this study was to compare the levels of enzyme ƒΐ-glucuronidase between healthy and diseased implants. Fifty male subjects with implant prosthesis were screened postoperatively and 19 was selected based on the following inclusion and exclusion criteria. Selections of healthy and diseased implants were based on visual inspection of the gingiva and clinical records obtained within a period of six months prior to sampling. Plaque and gingivitis levels were recorded for the healthy and diseased implants. Filter-paper strips were used for obtaining the sulcular fluid and was assayed for the levels of enzyme ƒΐ-glucuronidase. Despite the small number of implants evaluated in this study, the levels of ƒΐ-glucuronidase were significantly higher around failing implants compared to healthy implants. From the results of this study, it can be inferred that the increased ƒΐ-glucuronidase levels can be an important biomarker and a good predictor of implant failure.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded19    
    Comments [Add]    

Recommend this journal