Tuberculosis Today: Microbial Insights, Epidemiological Trends, and the Role of Molecular Diagnostics
Abstract
1. Introduction
2. Tuberculosis—A Health Problem
2.1. Critical Analysis and Challenges in Contemporary Tuberculosis Diagnostics
2.2. Diagnostic Tools and Capabilities
2.3. Difficulties Related to Molecular Methods
2.4. Drug-Resistant Tuberculosis
2.5. Vaccination Against Tuberculosis
3. Methods for Identification and Diagnosis of M. tuberculosis Infections
3.1. Conventional Methods for Identification of M. tuberculosis
3.1.1. Microscopic Examination
Ziehl−Neelsen Staining of Sputum Smears
3.1.2. Culture on Solid and Liquid Media
Solid Media
Liquid Media
3.2. Molecular Methods for the Identification of M. tuberculosis and Detection of Drug-Resistant Strains
3.2.1. NAATs
Xpert MTB/RIF Assay
BD MAX MDR-TB
FluoroType MTBDR
MTB/MDR Test
GenoType MTBC
3.3. MALDI-TOF MS
| Technology | Application | Sensitivity | Specificity | Advantages | Limitations | References |
|---|---|---|---|---|---|---|
| Xpert MTB/RIF | MTBC detection | 99% (smear-positive) | 99% | Rapid; fully automated; detects RIF resistance; minimal manual work; WHO-recommended first-line test | Limited to RIF resistance; relatively high cost; requires stable electricity and cartridges | [39,52] |
| >80% (smear-negative) | ||||||
| RIF resistance identification | 95% | 98% | [39,56] | |||
| BD MAX MDR-TB | MTBC detection | 93% | 97% | Automated workflow; detects both RIF and INH resistance; shorter time to result | Limited availability; requires infrastructure and trained personnel | [62] |
| RIF resistance identification | 90% | 95% | [62] | |||
| INH resistance identification | 82% | 100% | [62] | |||
| FluoroType MTBDR | MTBC detection | 85% | 99% | Automated result analysis; reduced contamination risk; detects both RIF and INH resistance | Requires specific equipment; limited to first-line drugs | [69] |
| RIF resistance identification | 99% | 100% | [64] | |||
| INH resistance identification | 92% | |||||
| MTB/MDR Test | MTBC detection | N/A | N/A | Fully automated, integrated workflow; detects RIF and broader range of INH mutations; reduced contamination risk | Limited validation studies; requires dedicated Sanity 2.0 system | N/A |
| RIF resistance identification | 94% | 97.5% | [71] | |||
| INH resistance identification | 85% | 98% | [71] | |||
| MDR resistance | 87% | 98% | [71] | |||
| GenoType MTBC | MTBC detection | 100% | 100% | Highly accurate; differentiates MTBC species; useful in epidemiology investigations | Requires culture; no direct drug resistance detection | [75] |
| MALDI-TOF MS | MTBC detection | 92.2% | 74.1% | Rapid; cost-effective per sample; widely used in microbiology labs | Requires culture; lower accuracy for MTBC than for other bacteria; database dependent | [81] |
4. Summary
5. Conclusions and Future Directions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
| AFB | Acid-Fast Bacilli |
| BCG | Bacillus Calmette−Guérin |
| BD | Becton Dickinson |
| BSL | Biosafety Level |
| CFU | Colony Forming Units |
| COVID-19 | Coronavirus Disease 2019 |
| CRISPR | Clustered Regularly Interspaced Short Palindromic Repeats |
| DR-TB | Drug-Resistant Tuberculosis |
| HIV | Human Immunodeficiency Virus |
| INH | Isoniazid |
| LAM | Urinary lipoarabinomannan |
| LAMP | Isothermal amplification assays |
| LJ | Löwenstein–Jensen medium |
| MALDI-TOF MS | Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry |
| MDR-TB | Multidrug-Resistant Tuberculosis |
| MGIT | Mycobacterial Growth Indicator Tube |
| mNGS | Metagenomic sequencing |
| MTB | Mycobacterium tuberculosis |
| MTBC | Mycobacterium tuberculosis complex |
| NAATs | Nucleic Acid Amplification Tests |
| N/A | Not applicable |
| NGS | Next Generation Sequencing |
| NTM | Nontuberculous Mycobacteria |
| PCR | Polymerase Chain Reaction |
| POCT | Point-of-Care Testing |
| pre-XDR-TB | pre-extensively drug-resistant tuberculosis |
| RIF | Rifampicin |
| RR-TB | Rifampicin-Resistant Tuberculosis |
| RT-PCR | Real-Time Polymerase Chain Reaction |
| TB | Tuberculosis |
| Tm | Melting Temperature |
| WHO | World Health Organization |
| XDR-TB | Extensively Drug-Resistant Tuberculosis |
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| MTBC Variant | Characteristic Features |
|---|---|
| M. tuberculosis | The most common cause of tuberculosis in humans. |
| M. bovis | Responsible for zoonotic tuberculosis in humans, and tuberculosis in domestic and wild cattle. |
| M. africanum | Responsible for tuberculosis in primates in Africa. Causes pulmonary tuberculosis in humans, particularly in tropical Africa. |
| M. canettii | Causes pulmonary tuberculosis in humans, particularly in tropical Africa. |
| M. caprae | Responsible for tuberculosis in ruminants, pigs, red deer, and wild boars. |
| M. pinnipedii | Responsible for tuberculosis in seals, meerkats, and mongooses. |
| M. microti | Responsible for tuberculosis in rodents. Causes tuberculosis in immunocompromised humans. |
| M. bovis BCG | An attenuated live strain of M. bovis used as a vaccine for tuberculosis prevention in early childhood. |
| M. mungi | Responsible for tuberculosis in seals, meerkats, and banded mongooses. |
| M. orygis | Responsible for tuberculosis in oryx, rhinoceroses, dairy cattle, and rhesus monkeys. |
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Maciejak-Jastrzębska, A.; Sygitowicz, G.; Brzezińska, S.; Bielska, K.; Augustynowicz-Kopeć, E. Tuberculosis Today: Microbial Insights, Epidemiological Trends, and the Role of Molecular Diagnostics. Pathogens 2025, 14, 965. https://doi.org/10.3390/pathogens14100965
Maciejak-Jastrzębska A, Sygitowicz G, Brzezińska S, Bielska K, Augustynowicz-Kopeć E. Tuberculosis Today: Microbial Insights, Epidemiological Trends, and the Role of Molecular Diagnostics. Pathogens. 2025; 14(10):965. https://doi.org/10.3390/pathogens14100965
Chicago/Turabian StyleMaciejak-Jastrzębska, Agata, Grażyna Sygitowicz, Sylwia Brzezińska, Kinga Bielska, and Ewa Augustynowicz-Kopeć. 2025. "Tuberculosis Today: Microbial Insights, Epidemiological Trends, and the Role of Molecular Diagnostics" Pathogens 14, no. 10: 965. https://doi.org/10.3390/pathogens14100965
APA StyleMaciejak-Jastrzębska, A., Sygitowicz, G., Brzezińska, S., Bielska, K., & Augustynowicz-Kopeć, E. (2025). Tuberculosis Today: Microbial Insights, Epidemiological Trends, and the Role of Molecular Diagnostics. Pathogens, 14(10), 965. https://doi.org/10.3390/pathogens14100965

