Sequencing-based analysis for the identification of bacteria associated with severe early childhood caries (SECC)

Severe early childhood caries (SECC) is a microbialinfection that severely compromises the dentition ofyoung children.The aim of this study is toidentify bacteria associated with SECC and compare bacterial species between SECC and caries-free children. Bacterial samples were isolated from dental pla...

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Main Authors:	Zainuddin, Zarina, Paiman, Abdul Qahhar, Dewi Ardini, Yunita
Format:	Article
Language:	English
Published:	Kulliyyah (Faculty) of Medicine, International Islamic University Malaysia 2018
Subjects:	RK318 Oral and Dental Medicine. Pathology. Diseases-Therapeutics-General Works
Online Access:	http://irep.iium.edu.my/67343/ http://irep.iium.edu.my/67343/ http://irep.iium.edu.my/67343/1/IMJM%20Pages-from-2WCII-SI2-131.pdf

id	iium-67343
recordtype	eprints
spelling	iium-673432018-11-08T07:31:30Z http://irep.iium.edu.my/67343/ Sequencing-based analysis for the identification of bacteria associated with severe early childhood caries (SECC) Zainuddin, Zarina Paiman, Abdul Qahhar Dewi Ardini, Yunita RK318 Oral and Dental Medicine. Pathology. Diseases-Therapeutics-General Works Severe early childhood caries (SECC) is a microbialinfection that severely compromises the dentition ofyoung children.The aim of this study is toidentify bacteria associated with SECC and compare bacterial species between SECC and caries-free children. Bacterial samples were isolated from dental plaque samples of 3 to 6-yearold preschool children and the status of dental caries at the surface level was evaluated using World Health Organization (WHO) diagnostic criteria for decayed, missing and filled tooth surfaces (DFMS). 30 samples from the interproximal part were collected and genomic DNA was extracted using MasterPure™ Gram Positive DNA Purification Kit. Polymerase Reaction (PCR) was conducted on the genomic DNA extracted to amplify 16S rRNA gene and successfully amplified 16S rRNA gene from the samples was sent for sequencing.This research was approved by the IIUM Research Ethic Committee (IREC). Using the selected kit, genomic DNA was successfully extracted and PCR amplification of the bacterial 16S rRNAgeneusing universal bacterial primers was achieved giving a product of 1500 bp. Results from sequencing when analysedusing BLAST from the NCBI website, identified bacteria from the genus Vibrio, Haemophilus and Aggregatibacter from SECC samples while for caries-free samples Granulicatella was identified. Kulliyyah (Faculty) of Medicine, International Islamic University Malaysia 2018-10-18 Article PeerReviewed application/pdf en http://irep.iium.edu.my/67343/1/IMJM%20Pages-from-2WCII-SI2-131.pdf Zainuddin, Zarina and Paiman, Abdul Qahhar and Dewi Ardini, Yunita (2018) Sequencing-based analysis for the identification of bacteria associated with severe early childhood caries (SECC). International Medical Journal Malaysia, 17 (Special Issue 2). pp. 131-135. ISSN 1823-4631 http://iiumedic.net/imjm/v1/download/volume_17_special_issue_2/Pages-from-2WCII-SI2-131.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	RK318 Oral and Dental Medicine. Pathology. Diseases-Therapeutics-General Works
spellingShingle	RK318 Oral and Dental Medicine. Pathology. Diseases-Therapeutics-General Works Zainuddin, Zarina Paiman, Abdul Qahhar Dewi Ardini, Yunita Sequencing-based analysis for the identification of bacteria associated with severe early childhood caries (SECC)
description	Severe early childhood caries (SECC) is a microbialinfection that severely compromises the dentition ofyoung children.The aim of this study is toidentify bacteria associated with SECC and compare bacterial species between SECC and caries-free children. Bacterial samples were isolated from dental plaque samples of 3 to 6-yearold preschool children and the status of dental caries at the surface level was evaluated using World Health Organization (WHO) diagnostic criteria for decayed, missing and filled tooth surfaces (DFMS). 30 samples from the interproximal part were collected and genomic DNA was extracted using MasterPure™ Gram Positive DNA Purification Kit. Polymerase Reaction (PCR) was conducted on the genomic DNA extracted to amplify 16S rRNA gene and successfully amplified 16S rRNA gene from the samples was sent for sequencing.This research was approved by the IIUM Research Ethic Committee (IREC). Using the selected kit, genomic DNA was successfully extracted and PCR amplification of the bacterial 16S rRNAgeneusing universal bacterial primers was achieved giving a product of 1500 bp. Results from sequencing when analysedusing BLAST from the NCBI website, identified bacteria from the genus Vibrio, Haemophilus and Aggregatibacter from SECC samples while for caries-free samples Granulicatella was identified.
format	Article
author	Zainuddin, Zarina Paiman, Abdul Qahhar Dewi Ardini, Yunita
author_facet	Zainuddin, Zarina Paiman, Abdul Qahhar Dewi Ardini, Yunita
author_sort	Zainuddin, Zarina
title	Sequencing-based analysis for the identification of bacteria associated with severe early childhood caries (SECC)
title_short	Sequencing-based analysis for the identification of bacteria associated with severe early childhood caries (SECC)
title_full	Sequencing-based analysis for the identification of bacteria associated with severe early childhood caries (SECC)
title_fullStr	Sequencing-based analysis for the identification of bacteria associated with severe early childhood caries (SECC)
title_full_unstemmed	Sequencing-based analysis for the identification of bacteria associated with severe early childhood caries (SECC)
title_sort	sequencing-based analysis for the identification of bacteria associated with severe early childhood caries (secc)
publisher	Kulliyyah (Faculty) of Medicine, International Islamic University Malaysia
publishDate	2018
url	http://irep.iium.edu.my/67343/ http://irep.iium.edu.my/67343/ http://irep.iium.edu.my/67343/1/IMJM%20Pages-from-2WCII-SI2-131.pdf
first_indexed	2023-09-18T21:35:38Z
last_indexed	2023-09-18T21:35:38Z
_version_	1777412801330937856

Sequencing-based analysis for the identification of bacteria associated with severe early childhood caries (SECC)

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