scholarly journals Identification of mycobacteria from culture by using the Gen-Probe Rapid Diagnostic System for Mycobacterium avium complex and Mycobacterium tuberculosis complex.

1988 ◽  
Vol 26 (10) ◽  
pp. 2120-2123 ◽  
Author(s):  
C E Musial ◽  
L S Tice ◽  
L Stockman ◽  
G D Roberts
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Mycobacterium Avium ◽  
Mycobacterium Avium Complex ◽  
Mycobacterium Tuberculosis Complex ◽  
Diagnostic System ◽  
Tuberculosis Complex

scholarly journals Prevalence and Risk Factors for Pulmonary Mycobacteriosis in Lagos, Nigeria

2019 ◽  
pp. 1-12
Author(s):  
T. Y. Raheem ◽  
B. A. Iwalokun ◽  
A. Oluwadun ◽  
O. A. Adesesan ◽  
N. Tochukwu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mycobacterium Tuberculosis ◽  
Informed Consent ◽  
Mycobacterium Avium Complex ◽  
Mycobacterium Tuberculosis Complex ◽  
Tuberculosis Complex ◽  
Cross Sectional ◽  
Mycobacterial Infections ◽  
Inappropriate Treatment ◽  
Lowenstein Jensen

Background: Pulmonary mycobacteriosis has been documented in HIV-infected, diabetics, asthmatics, smokers and alcoholics and its progression and severity are affected by these risk factors. Inappropriate diagnosis of mycobacteriosis could lead to inappropriate treatment with anti- tuberculosis drugs. Methods: This cross-sectional, prospective study was conducted in patients with TB-like diseases attending six DOTs centres in Lagos, Nigeria, from May 2012 to October 2016. Participants’ informed consent was obtained, structured questionnaires administered to obtain socio-demographic and co-morbid data. Sputum samples collected and processed for microscopy and culture using Lowenstein-Jensen medium with or without pyruvate and MGIT 960 liquid medium. Mycobacteria were identified using MPT64 immunochromatographic, biochemical and molecular methods. This study investigated the presence and prevalence of mycobacteriosis in the participants and assessed the risk factors for the mycobacterial infections. Results: Of the 1,020 participants, 339 (33.2%) had mycobacteriosis of which 33 (9.7%) were caused by Non-Tuberculosis Mycobacteria (NTM) and 306 (90.3%) caused by Mycobacterium tuberculosis complex (MTBC). Of the isolated 306 MTBC, 247 (80.7%) were M. tuberculosis, 28 (9.2%) were M. africanum, 23 (7.5%) were M. bovis while 8(2.6%) were M. ulcerans [P < 0.0005]. The 33 NTM showed 11 (33.3%), 20 (60.6%) had HIV, 8(24.2%) M. fortuitum, 2 (6.1%) M. abscessus, 2 (6.1%) M. scrofulacium, 6 (18.2%) M. kansasii, 4 (12.1%) M. megateriense and 11 (33.3%) Mycobacterium avium complex (MAC). Sequence analysis of the 16s rRNA of the 11 MAC showed 3 (27.3%) M. avium, 5(45.5%) M. intracellulare, 2(18.2%) M. colombiense and 1(9.1%) M. velneri.  M. fortuitum and MAC were significantly (P<0.05) associated with HIV infection, while only M. fortuitum relate strongly with diabetes (P <0.05). Conclusion: The study showed that mycobacteriosis is caused by different species of MTBC and NTM. Relatively high mycobacteriosis were detected during dry season and were significantly associated with gender, age, HIV and diabetes.

scholarly journals Culture and Molecular Method for Detection of Mycobacterium tuberculosis Complex and Mycobacterium avium subsp. paratuberculosis in Milk and Dairy Products

2011 ◽  
Vol 78 (1) ◽  
pp. 295-297 ◽  
Author(s):  
U. Messelhäusser ◽  
P. Kämpf ◽  
S. Hörmansdorfer ◽  
B. Wagner ◽  
B. Schalch ◽  
...  
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Mycobacterium Avium ◽  
Dairy Products ◽  
Mycobacterium Tuberculosis Complex ◽  
Tuberculosis Complex ◽  
Molecular Method ◽  
Content Type ◽  
Reliable Detection ◽  
Mycobacterium Avium Subsp Paratuberculosis ◽  
Milk And Dairy Products

ABSTRACTA combined molecular and cultural method for the detection of theMycobacterium tuberculosiscomplex (MTBC) andMycobacterium aviumsubsp.paratuberculosiswas developed and tested with artificially contaminated milk and dairy products. Results indicate that the method can be used for a reliable detection as a basis for first risk assessments.

scholarly journals Spatial and Temporal Distribution of Mycobacterium tuberculosis Complex Infection in Eurasian Badger (Meles meles) and Cattle in Asturias, Spain

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1294
Author(s):  
Cristina Blanco Blanco Vázquez ◽  
Thiago Doria Barral ◽  
Beatriz Romero ◽  
Manuel Queipo ◽  
Isabel Merediz ◽  
...  
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Road Traffic ◽  
Mycobacterium Tuberculosis Complex ◽  
Temporal Distribution ◽  
Meles Meles ◽  
Interspecies Transmission ◽  
Tuberculosis Complex ◽  
Serum Samples ◽  
Study Objective ◽  
Infection Pressure

The present work investigated the prevalence, spatial distribution, and temporal distribution of tuberculosis (TB) in free-ranging Eurasian badgers (Meles meles) and cattle in Asturias (Atlantic Spain) during a 13-year follow-up. The study objective was to assess the role of badgers as a TB reservoir for cattle and other sympatric wild species in the region. Between 2008 and 2020, 673 badgers (98 trapped and 575 killed in road traffic accidents) in Asturias were necropsied, and their tissue samples were cultured for the Mycobacterium tuberculosis complex (MTC) isolation. Serum samples were tested in an in-house indirect P22 ELISA to detect antibodies against the MTC. In parallel, data on MTC isolation and single intradermal tuberculin test results were extracted for cattle that were tested and culled as part of the Spanish National Program for the Eradication of Bovine TB. A total of 27/639 badgers (4.23%) were positive for MTC based on bacterial isolation, while 160/673 badgers (23.77%) were found to be positive with the P22 ELISA. The rate of seropositivity was higher among adult badgers than subadults. Badger TB status was spatially and temporally associated with cattle TB status. Our results cannot determine the direction of possible interspecies transmission, but they are consistent with the idea that the two hosts may exert infection pressure on each other. This study highlights the importance of the wildlife monitoring of infection and disease during epidemiological interventions in order to optimize outcomes.

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