365319

Identification of non-tuberculous <i>Mycobacteria</i> clinical isolates to species level using four different advanced diagnostic technologies

Article

Last updated: 04 Jan 2025

Subjects

-

Tags

Clinical microbiology

Abstract

Background: Infections by non- tuberculous mycobacteria (NTM) are of rising concern. Identification by phenotypic methods is time-consuming and challenging. In our work, we aimed to identify clinical NTM isolates to the species level using four different advanced diagnostic technologies. Methods: Clinical specimens underwent testing by Ziehl Neelsen (ZN) microscopy and GeneXpert®MTB/RIF assay. Suspected specimens for NTM were selected for inoculation on Lowenstein-Jensen medium (LJ) to obtain primary colonies. The isolated colonies were identified by matrix-assisted laser time-of-flight mass spectrometry (MALDI-TOF MS), and their DNA was extracted and tested by LCD-Microarray, 16SrRNA sequencing and Whole genome sequencing (WGS). Results: Out of total 112 specimens, 6 were presumptively identified as NTM (5.36%). WGS identified NTM isolates as 2 M. fortuitum, 2 M. abscessus, and 2 M. porcinum. The 16SrRNA sequencing agreed, except for 2 M. fortuitum isolates identified as the closely related M. neworleansense. MALDI-TOF MS identified M. fortuitum (n=3), and one of each of M. abscessus, M.porcinum, M. bacteremicum. The Microarray identified M. abscessus (n=2), Broad III group (n=3), however missed the identification of one isolate. An overall agreement of 66% was shown for 16SrRNA sequencing and MALDI-TOF, while 33% for LCD array with WGS in identification of NTM to the species level. Conclusion: The WGS remains the highest discriminatory identification method. The NTM isolates identified by the gold standard WGS were M. fortuitum, M. abscessus, and M. porcinum. The 16SrRNA sequencing and MALDI-TOF assay had the highest agreement with WGS in identification of NTM to species level.

DOI

10.21608/mid.2024.283978.1912

Keywords

Non- tuberculous mycobacteria, whole genome sequencing, MALDI-TOF, LCD-Microarray, 16SrRNA sequencing

Authors

First Name

May

Last Name

Soliman

MiddleName

Sherif

Affiliation

Clinical and Chemical Pathology Department, Faculty of Medicine, Cairo University, Egypt

Email

may.mohmed@kasralainy.edu.eg

City

Cairo

Orcid

-

First Name

Noha

Last Name

Soliman

MiddleName

Salah

Affiliation

Clinical and Chemical Pathology Department, Faculty of Medicine, Cairo University, Egypt

Email

noha.salah@kasralainy.edu.eg

City

Giza-ElMohandessen

Orcid

-

First Name

Amira

Last Name

Abbas

MiddleName

Muhammad

Affiliation

Clinical and Chemical Pathology Department, Faculty of Medicine, Cairo University, Egypt

Email

amira.muhammad@kasralainy.edu.eg

City

-

Orcid

-

First Name

Maha

Last Name

Gad

MiddleName

Ali

Affiliation

Clinical and Chemical Pathology Department, Faculty of Medicine, Cairo University, Egypt

Email

maha.gad@kasralainy.edu.eg

City

Cairo, Egypt

Orcid

-

First Name

Sahar

Last Name

Khairat

MiddleName

Mohammed

Affiliation

Clinical and Chemical Pathology Department, Faculty of Medicine, Cairo University, Egypt

Email

sahar.khairat@gmail.com

City

-

Orcid

-

First Name

Amani

Last Name

El-Kholy

MiddleName

Ali

Affiliation

Clinical and Chemical Pathology Department, Faculty of Medicine, Cairo University, Egypt

Email

aelkholy@kasralainy.edu.eg

City

Cairo, Egypt

Orcid

0000-0002-0645-7664

Volume

5

Article Issue

4

Related Issue

51278

Issue Date

2024-11-01

Receive Date

2024-04-21

Publish Date

2024-11-01

Page Start

1,557

Page End

1,566

Print ISSN

2682-4132

Online ISSN

2682-4140

Link

https://mid.journals.ekb.eg/article_365319.html

Detail API

https://mid.journals.ekb.eg/service?article_code=365319

Order

30

Type

Original Article

Type Code

1,157

Publication Type

Journal

Publication Title

Microbes and Infectious Diseases

Publication Link

https://mid.journals.ekb.eg/

MainTitle

Identification of non-tuberculous <i>Mycobacteria</i> clinical isolates to species level using four different advanced diagnostic technologies

Details

Type

Article

Created At

25 Dec 2024