A novel serum-based medium for drug susceptibility testing of Mycobacterium tuberculosis

Sheep serum agar (SSA) is a new serum-based medium developed as an alternative to Middlebrook 7H10 agar for the isolation of Mycobacterium tuberculosis from clinical samples and for use in antimicrobial susceptibility testing. This study aimed to evaluate the performance of SSA in primary anti-tuberculosis drug susceptibility testing. A total of 107 M. tuberculosis isolates with different susceptibility profiles were tested simultaneously against primary anti-tuberculosis agents on SSA and Middlebrook 7H10 agar using the proportion method. The findings were compared with those obtained using the BACTEC MGIT 960 (M960) method. The agreement between the M960 and 7H10 agar proportion method was determined as 93.45% for isoniazid (INH) and ethambutol (EMB), 96.26% for rifampicin (RIF), and 79.43% for streptomycin (STR), respectively. The agreement between the M960 and SSA proportion method was determined as 95.32% for INH, 97.19% for RIF, 92.52% for STR, and 86.91% for EMB, respectively. The agreement between the 7H10 agar proportion method and the SSA proportion method was determined as 98.13% for INH, 99.06% for RIF, 86.91% for STR, and 93.45% for EMB, respectively. SSA medium was more effective at detecting INH, RIF and STR resistance than 7H10 agar. The results demonstrate the potential of SSA as an alternative medium to 7H10 agar. Further research is needed to confirm its reliability and evaluate its performance.

Authors

Institutions

Publication Details

Journal
BMC Microbiology
Published
2026-03-13
DOI
https://doi.org/10.1186/s12866-026-04946-4
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel serum-based medium for drug susceptibility testing of Mycobacterium tuberculosis

Cemilenur Ataş, Emel Cengiz Kaynakci, Mehmet Akif Gün, Ece Şimşek et al.
BMC Microbiology
Tuberculosis Research and Epidemiology
article

A novel serum-based medium for drug susceptibility testing of Mycobacterium tuberculosis

Cemilenur Ataş, Emel Cengiz Kaynakci, Mehmet Akif Gün, Ece Şimşek, Kubra Yildirim, Ahmet Yilmaz Coban
article en

Abstract

Sheep serum agar (SSA) is a new serum-based medium developed as an alternative to Middlebrook 7H10 agar for the isolation of Mycobacterium tuberculosis from clinical samples and for use in antimicrobial susceptibility testing. This study aimed to evaluate the performance of SSA in primary anti-tuberculosis drug susceptibility testing. A total of 107 M. tuberculosis isolates with different susceptibility profiles were tested simultaneously against primary anti-tuberculosis agents on SSA and Middlebrook 7H10 agar using the proportion method. The findings were compared with those obtained using the BACTEC MGIT 960 (M960) method. The agreement between the M960 and 7H10 agar proportion method was determined as 93.45% for isoniazid (INH) and ethambutol (EMB), 96.26% for rifampicin (RIF), and 79.43% for streptomycin (STR), respectively. The agreement between the M960 and SSA proportion method was determined as 95.32% for INH, 97.19% for RIF, 92.52% for STR, and 86.91% for EMB, respectively. The agreement between the 7H10 agar proportion method and the SSA proportion method was determined as 98.13% for INH, 99.06% for RIF, 86.91% for STR, and 93.45% for EMB, respectively. SSA medium was more effective at detecting INH, RIF and STR resistance than 7H10 agar. The results demonstrate the potential of SSA as an alternative medium to 7H10 agar. Further research is needed to confirm its reliability and evaluate its performance.

BMC Microbiology
Akdeniz University (TR), Antalya IVF (TR)
Good health and well-being
Openalex Percentile: Top 27%
Tuberculosis Research and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.