Epidemiology and prevalence analysis of NTM using 16s rRNA in Johor

The geographical distribution of nontuberculous mycobacteria (NTM) in Malaysia is unknown, however the number of cases reported is markedly increasing. Furthermore, the current Standard Operation Procedure for diagnose is time consuming and not up to the species level. This may lead to prolonged tre...

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Main Author:	Jilani, Misbaha
Format:	Thesis
Language:	English
Published:	2021
Subjects:	QD Chemistry
Online Access:	http://eprints.utm.my/id/eprint/102380/1/MisbahaJilaniMFS2021.pdf.pdf
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id	my-utm-ep.102380
record_format	uketd_dc
spelling	my-utm-ep.1023802023-08-28T06:21:00Z Epidemiology and prevalence analysis of NTM using 16s rRNA in Johor 2021 Jilani, Misbaha QD Chemistry The geographical distribution of nontuberculous mycobacteria (NTM) in Malaysia is unknown, however the number of cases reported is markedly increasing. Furthermore, the current Standard Operation Procedure for diagnose is time consuming and not up to the species level. This may lead to prolonged treatment, mistreatment with current Tuberculosis regime and perhaps may create multidrug resistant strains. Therefore, a new method is urgently needed to replace current identification analysis. The goal of this study was to determine the prevalence of clinical NTM cases in Johor, Malaysia using the current procedure and Runyon classification, investigate potential sources of NTM from a specific geographic area using both 16S rRNA sequencing and Runyon classification and construct a phylogenetic tree of Malaysia NTM based on species. The data was analyzed from mycobacterial cultures of sputum specimens collected from Johor Public Health Laboratory from 2011 to 2014. Water samples were collected from sputum collection center in selected Health Clinics in Johor and subjected to NTM identification analysis to investigate the potential origins of NTM. The phylogenetic tree was constructed using molecular sequencing by using MEGA-X software. In this present study, analysis of the NTM cases in Johor from year 2011 to 2014 increased with age and gender-related where male and individual of 61 years old and above are more likely to be infected respectively. Furthermore, Johor Bahru was more likely to record higher cases. There were differences in the findings from the same sources and sample collected geographically when grouped by Runyon and 16S rRNA. The Runyon classification method produced a false positive result on pathogenicity on rapidly growing NTM when compared to 16S rRNA. The precision of Runyon classification method on pathogenicity of slow grower was less. In conclusion the prevalence of NTM data for Johor were compiled and 16S rRNA sequencing was more precise in diagnosing the NTM up to the species level. 2021 Thesis http://eprints.utm.my/id/eprint/102380/ http://eprints.utm.my/id/eprint/102380/1/MisbahaJilaniMFS2021.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:146323 masters Universiti Teknologi Malaysia Faculty of Science
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QD Chemistry
spellingShingle	QD Chemistry Jilani, Misbaha Epidemiology and prevalence analysis of NTM using 16s rRNA in Johor
description	The geographical distribution of nontuberculous mycobacteria (NTM) in Malaysia is unknown, however the number of cases reported is markedly increasing. Furthermore, the current Standard Operation Procedure for diagnose is time consuming and not up to the species level. This may lead to prolonged treatment, mistreatment with current Tuberculosis regime and perhaps may create multidrug resistant strains. Therefore, a new method is urgently needed to replace current identification analysis. The goal of this study was to determine the prevalence of clinical NTM cases in Johor, Malaysia using the current procedure and Runyon classification, investigate potential sources of NTM from a specific geographic area using both 16S rRNA sequencing and Runyon classification and construct a phylogenetic tree of Malaysia NTM based on species. The data was analyzed from mycobacterial cultures of sputum specimens collected from Johor Public Health Laboratory from 2011 to 2014. Water samples were collected from sputum collection center in selected Health Clinics in Johor and subjected to NTM identification analysis to investigate the potential origins of NTM. The phylogenetic tree was constructed using molecular sequencing by using MEGA-X software. In this present study, analysis of the NTM cases in Johor from year 2011 to 2014 increased with age and gender-related where male and individual of 61 years old and above are more likely to be infected respectively. Furthermore, Johor Bahru was more likely to record higher cases. There were differences in the findings from the same sources and sample collected geographically when grouped by Runyon and 16S rRNA. The Runyon classification method produced a false positive result on pathogenicity on rapidly growing NTM when compared to 16S rRNA. The precision of Runyon classification method on pathogenicity of slow grower was less. In conclusion the prevalence of NTM data for Johor were compiled and 16S rRNA sequencing was more precise in diagnosing the NTM up to the species level.
format	Thesis
qualification_level	Master's degree
author	Jilani, Misbaha
author_facet	Jilani, Misbaha
author_sort	Jilani, Misbaha
title	Epidemiology and prevalence analysis of NTM using 16s rRNA in Johor
title_short	Epidemiology and prevalence analysis of NTM using 16s rRNA in Johor
title_full	Epidemiology and prevalence analysis of NTM using 16s rRNA in Johor
title_fullStr	Epidemiology and prevalence analysis of NTM using 16s rRNA in Johor
title_full_unstemmed	Epidemiology and prevalence analysis of NTM using 16s rRNA in Johor
title_sort	epidemiology and prevalence analysis of ntm using 16s rrna in johor
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Science
publishDate	2021
url	http://eprints.utm.my/id/eprint/102380/1/MisbahaJilaniMFS2021.pdf.pdf
_version_	1776100909400457216

Epidemiology and prevalence analysis of NTM using 16s rRNA in Johor

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