Prediction of the hidden genotype of mixed infection strains in Iranian tuberculosis patients

Background: Patients with mixed-strain Mycobacterium tuberculosis infections may be at a high risk of poor treatment outcomes. However, the mechanisms through which mixed infections affect the clinical manifestations are not well recognized. Evidence suggests that failure to detect the pathogen dive...

Full description

Bibliographic Details
Main Authors: Mansour Kargarpour Kamakoli, Ghazaleh Farmanfarmaei, Morteza Masoumi, Sharareh Khanipour, Safoora Gharibzadeh, Christophe Sola, Abolfazl Fateh, Seyed Davar Siadat, Guislaine Refregier, Farzam Vaziri
Format: Article
Language:English
Published: Elsevier 2020-06-01
Series:International Journal of Infectious Diseases
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1201971220301892
_version_ 1831693347362701312
author Mansour Kargarpour Kamakoli
Ghazaleh Farmanfarmaei
Morteza Masoumi
Sharareh Khanipour
Safoora Gharibzadeh
Christophe Sola
Abolfazl Fateh
Seyed Davar Siadat
Guislaine Refregier
Farzam Vaziri
author_facet Mansour Kargarpour Kamakoli
Ghazaleh Farmanfarmaei
Morteza Masoumi
Sharareh Khanipour
Safoora Gharibzadeh
Christophe Sola
Abolfazl Fateh
Seyed Davar Siadat
Guislaine Refregier
Farzam Vaziri
author_sort Mansour Kargarpour Kamakoli
collection DOAJ
description Background: Patients with mixed-strain Mycobacterium tuberculosis infections may be at a high risk of poor treatment outcomes. However, the mechanisms through which mixed infections affect the clinical manifestations are not well recognized. Evidence suggests that failure to detect the pathogen diversity within the host can influence the clinical results. We aimed to investigate the effects of different genotypes in mixed infections and determine their relationship with heteroresistance in the treatment of Iranian tuberculosis patients. Methods: One of the genotypes was identified in the culture and another genotype pattern in the mixed infection was predicted by comparing the pattern of MIRU-VNTR between the clinical specimens and their respective cultures in each patient. For all patients, the drug susceptibility testing was carried out on three single colonies from each clinical sample. The follow-up of patients was carried out during six months of treatment. Results: Based on MIRU-VNTR profiles of clinical samples, we showed that 55.6% (25/45) of the Iranian patients included in the study had mixed infections. Patients with mixed infections had a higher rate of treatment failure, compared to others (P = 0.03). By comparing clinical sample profiles to profiles obtained after culture, we were able to distinguish between major and hidden genotypes. Among hidden genotypes, Haarlem (L4.1.2) and Beijing (L2) were associated to treatment failure (6/8 patients). Conclusions: To conclude, we propose a procedure using the MIRU-VNTR method to identify the different genotypes in mixed infections. The present findings suggest that genotypes with potentially higher pathogenicity may not be detected when performing experimental culture in patients with mixed infections.
first_indexed 2024-12-20T12:12:40Z
format Article
id doaj.art-a31cde4c28fd4307b5bad6896a78dcf5
institution Directory Open Access Journal
issn 1201-9712
language English
last_indexed 2024-12-20T12:12:40Z
publishDate 2020-06-01
publisher Elsevier
record_format Article
series International Journal of Infectious Diseases
spelling doaj.art-a31cde4c28fd4307b5bad6896a78dcf52022-12-21T19:41:13ZengElsevierInternational Journal of Infectious Diseases1201-97122020-06-01952227Prediction of the hidden genotype of mixed infection strains in Iranian tuberculosis patientsMansour Kargarpour Kamakoli0Ghazaleh Farmanfarmaei1Morteza Masoumi2Sharareh Khanipour3Safoora Gharibzadeh4Christophe Sola5Abolfazl Fateh6Seyed Davar Siadat7Guislaine Refregier8Farzam Vaziri9Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, IranDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, IranDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, IranDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, IranDepartment of Epidemiology and Biostatistics, Research Center for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Tehran, IranInstitut for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ. Paris Sud, Université Paris-Saclay, Gif-sur-Yvette, FranceDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, IranDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, IranInstitut for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ. Paris Sud, Université Paris-Saclay, Gif-sur-Yvette, FranceDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran; Corresponding author at: Pasteur Institute of Iran, No. 358, 12th Farvardin Ave., Jomhoori St., Postal Code: 1316943551, Tehran, Iran.Background: Patients with mixed-strain Mycobacterium tuberculosis infections may be at a high risk of poor treatment outcomes. However, the mechanisms through which mixed infections affect the clinical manifestations are not well recognized. Evidence suggests that failure to detect the pathogen diversity within the host can influence the clinical results. We aimed to investigate the effects of different genotypes in mixed infections and determine their relationship with heteroresistance in the treatment of Iranian tuberculosis patients. Methods: One of the genotypes was identified in the culture and another genotype pattern in the mixed infection was predicted by comparing the pattern of MIRU-VNTR between the clinical specimens and their respective cultures in each patient. For all patients, the drug susceptibility testing was carried out on three single colonies from each clinical sample. The follow-up of patients was carried out during six months of treatment. Results: Based on MIRU-VNTR profiles of clinical samples, we showed that 55.6% (25/45) of the Iranian patients included in the study had mixed infections. Patients with mixed infections had a higher rate of treatment failure, compared to others (P = 0.03). By comparing clinical sample profiles to profiles obtained after culture, we were able to distinguish between major and hidden genotypes. Among hidden genotypes, Haarlem (L4.1.2) and Beijing (L2) were associated to treatment failure (6/8 patients). Conclusions: To conclude, we propose a procedure using the MIRU-VNTR method to identify the different genotypes in mixed infections. The present findings suggest that genotypes with potentially higher pathogenicity may not be detected when performing experimental culture in patients with mixed infections.http://www.sciencedirect.com/science/article/pii/S1201971220301892TuberculosisMIRU-VNTRHidden genotypeheteroresistancemixed infections
spellingShingle Mansour Kargarpour Kamakoli
Ghazaleh Farmanfarmaei
Morteza Masoumi
Sharareh Khanipour
Safoora Gharibzadeh
Christophe Sola
Abolfazl Fateh
Seyed Davar Siadat
Guislaine Refregier
Farzam Vaziri
Prediction of the hidden genotype of mixed infection strains in Iranian tuberculosis patients
International Journal of Infectious Diseases
Tuberculosis
MIRU-VNTR
Hidden genotype
heteroresistance
mixed infections
title Prediction of the hidden genotype of mixed infection strains in Iranian tuberculosis patients
title_full Prediction of the hidden genotype of mixed infection strains in Iranian tuberculosis patients
title_fullStr Prediction of the hidden genotype of mixed infection strains in Iranian tuberculosis patients
title_full_unstemmed Prediction of the hidden genotype of mixed infection strains in Iranian tuberculosis patients
title_short Prediction of the hidden genotype of mixed infection strains in Iranian tuberculosis patients
title_sort prediction of the hidden genotype of mixed infection strains in iranian tuberculosis patients
topic Tuberculosis
MIRU-VNTR
Hidden genotype
heteroresistance
mixed infections
url http://www.sciencedirect.com/science/article/pii/S1201971220301892
work_keys_str_mv AT mansourkargarpourkamakoli predictionofthehiddengenotypeofmixedinfectionstrainsiniraniantuberculosispatients
AT ghazalehfarmanfarmaei predictionofthehiddengenotypeofmixedinfectionstrainsiniraniantuberculosispatients
AT mortezamasoumi predictionofthehiddengenotypeofmixedinfectionstrainsiniraniantuberculosispatients
AT shararehkhanipour predictionofthehiddengenotypeofmixedinfectionstrainsiniraniantuberculosispatients
AT safooragharibzadeh predictionofthehiddengenotypeofmixedinfectionstrainsiniraniantuberculosispatients
AT christophesola predictionofthehiddengenotypeofmixedinfectionstrainsiniraniantuberculosispatients
AT abolfazlfateh predictionofthehiddengenotypeofmixedinfectionstrainsiniraniantuberculosispatients
AT seyeddavarsiadat predictionofthehiddengenotypeofmixedinfectionstrainsiniraniantuberculosispatients
AT guislainerefregier predictionofthehiddengenotypeofmixedinfectionstrainsiniraniantuberculosispatients
AT farzamvaziri predictionofthehiddengenotypeofmixedinfectionstrainsiniraniantuberculosispatients