correlation between dental caries experience and mutans streptococci counts by microbial and molecular (polymerase chain reaction) assay using saliva as microbial risk indicator

correlation between dental caries experience and mutans streptococci counts by microbial and molecular (polymerase chain reaction) assay using saliva as microbial risk indicator

;S G Damle;Ashish Loomba;Abhishek Dhindsa;Ashu Loomba;Vikas Beniwal
Mycoses 2016 Vol. 13 pp. 552-559
182
damle2016dentalcorrelation

Abstract

Background: The aim of this study was to assess the relationships of quantitative salivary levels of mutans streptococci (MS) in children, aged 3–6 years and 12–15 years, exhibiting variable patterns of caries activity, and to compare the association of MS in saliva using microbial and molecular (polymerase chain reaction [PCR]) assay. Materials and Methods: In this cross-sectional observational study, eighty children were included, forty children each in Group I (3–6 years) and Group II (12–15 years). Children were further divided into two subgroups (Group IC, INC and Group IIC, IINC) based on their dental caries status. Saliva samples were collected and plated onto Mitis Salivarius-Bacitracin agar plates. After detection of MS, DNA was isolated and purified, and MS were evaluated using the PCR and AP-PCR. Results: Of the selected 80 children, 42 were male and 38 were female. In Group IC, the mean colony count was 2.27 ± 0.54 × 105 CFU/ml, and in Group INC, the mean colony was found to be 1.61 ± 0.54 × 105 CFU/ml. In Group II, where mean colony count of 3.31 ± 0.85 × 105 CFU/ml and 2.44 ± 0.54 × 105 CFU/ml was observed in Group IIC and Group IINC, respectively. Conclusion: The mean colony count increased with increasing age and was also more in children with dental caries. Based on the matrices generated by the PCR analysis using coefficient slipped-strand mispairing, wide range of genetic diversity was seen in cases of children with and without clinically detectable caries.

Citation

ID: 142972
Ref Key: damle2016dentalcorrelation
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
142972
Unique Identifier:
10.4103/1735-3327.197035
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet