Moses L. Joloba Mycobacterium tuberculosis (MTB), is the causative agent of tuberculosis (TB) 1.7 billion people infected with MTB worldwide The majority have latent infection Each year, 9 million develop disease 2 million die of TB annually TB is the single largest cause of death from a curable and preventable infectious disease Millions of deaths in 2002 3.0 2.0 1.0 0.0 HIV/AIDS Tuberculosis Malaria Measles Uganda is one of the 22 countries most affected by TB in the world. In Uganda we detect 40,000 cases per year This represents 50% of the cases to be detected. About 70% of those detected are cured WHO recommends 70% detection rate and 85% cure rates Presented under the following areas: A – Diagnosis B – Identification C – Drug susceptibility testing (DST) D – Epidemiology PREVIOUS (< 2006) Light microscopy CURRENT Solid culture (LJ and Middlebrook) Semi automated Liquid culture Bactec 460 in JCRC Florescent Microscope Automated Liquid culture system (MGIT) Portable Liquid culture system (Manual MGIT) Direct phenotypic DST methods HAIN Test for MDR detection HAIN Test for speciation PCR for Identification Capillia for Identification RFLP, Spoligotyping, RD analysis and MIRU for epidemiology TB diagnostic testing in endemic countries Fundamental diagnostic: 1882 Fundamental diagnostic: 2007 TB diagnostic testing in endemic countries Fundamental diagnostic: 1882 Fundamental diagnostic: 2008 Binocular microscopes – covers 80% of the country in Uganda Florescent microscopes (LEDs) for very busy centers More sensitive than light X-scopes Decrease workload – scan fewer fields LEDs do not need dark rooms and have long life bulbs Introduction of External Quality Assurance (EQA), covers 90% of the country (Uganda) – ensures quality (2005) Change in diagnostic policy (2008) 2 smears instead of 3 One positive smear instead of 2 enough to start therapy NTRL – Wandegeya FIND – Wandegeya JCRC - Mengo MRC- Entebbe AERAS – Medical School MSF – Epicentre - Mbarara Solid – LJ… Liquid Bactec 460 • Solid – LJ… • Liquid culture 1. Automated MGIT 960 2. Manual MGIT 3. Bactec 9000 series for fluids BEFORE 2006 Presumptive (accurate for solids) Colony morphology Growth rate ZN CURRENT Presumptive for solid – phasing out PCR for IS6110 Capillia – key for liquid system NAP for Bactec 460 BEFORE 2006 Indirect proportion by LJ and Bactec 460 TAT 3 weeks TAT 3 month 1. Genotype MTBDR – Detects MDR TB in one day PCR 2. Drect MGIT – 5d Hybridization Detection 3. Nitrate reductase assay – 14d 4. MODS assay – 10d TOTAL HANDS-ON TIME = 2 MINUTES The system is the first to fully automate and integrate all the steps required for PCR-based DNA testing: sample preparation, DNA amplification and detection. Designed to simplify hands-on preparation, the system provides PCR test results from a raw sample in about an hour, enabling time-critical DNA tests at the point of need. Previously none Now using PCR RD analysis we can speciate MTB complex into M. tuberculosis M. africanun M. bovis M. bovis BCG M. canneti M. microti M. pimpinedi …… Asiimwe BB, Koivula T, Kallenius G, Huard RC, Ghebremichael S, Asiimwe J, Joloba ML. Mycobacterium tuberculosis Uganda Genotype is the predominant cause of TB in Kampala, Uganda. Int J Tuberc Lung Dis 2008; 12(4): 386 - 389. Through use of PCR based GenoType Mycobacterium CM from HAIN we can speciate MOTT into 14 species (2008) M. avium spp. • M. chelonae • M. Kansasii M. abscessus • M. malmoense M. fortiutum • M. peregrinum M. gordonae • M. marinum/M. ulcerans M. intracellulare • M. tuberculosis complex M. scrofulaceum M. interjectum • M. xenopi. RFLP Spoligotyping – PCR Based MIRU – PCR based No. of IS6110 Isolates copies 2 8 5 2 6 3 2 3 3 3 2 2 2 3 2 2 3 3 2 2 3 2 3 3 2 2 2 2 2 3 3 4 6 2 11 14 14 01 17 12 10 12 01 11 15 18 17 13 09 14 15 15 17 16 17 13 16 17 16 15 08 15 15 16 10 14 11 04 Sex F (M) HIV + (-) 1 (1) 3 (5) 4 (1) 1 (1) 3 (3) 2 (1) 1 (1) 1 (2) 2 (1) 2 (1) 0 (2) 0 (2) 0 (2) 2 (1) 0 (2) 1 (1) 2 (1) 1 (2) 1 (1) 1 (1) 1 (2) 0 (2) 2 (1) 0 (3) 0 (2) 1 (1) 1 (1) 0 (2) 2 (0) 1 (2) 1 (2) 4 (0) 2 (4) 1 (1) 0 (2) 4 (4) 2 (3) 1 (1) 4 (2) 2 (1) 0 (2) 1 (2) 1 (2) 3 (0) 0 (2) 0 (2) 0 (2) 0 (3) 2 (0) 1 (1) 0 (3) 2 (1) 0 (2) 1 (1) 3 (0) 0 (2) 2 (1) 0 (3) 2 (0) 1 (1) 1 (1) 1 (1) 1 (1) 0 (3) 2 (1) 2 (2) 2 (4) 1 (1) Age, years <40 (>40) 2 (0) 7 (1) 4 (1) 2 (0) 3 (3) 3 (0) 2 (0) 3 (0) 3 (0) 2 (1) 2 (0) 2 (0) 2 (0) 3 (0) 2 (0) 2 (0) 2 (1) 3 (0) 0 (2) 1 (1) 3 (0) 0 (2) 3 (0) 3 (0) 2 (0) 2 (0) 1 (1) 2 (0) 2 (0) 3 (0) 3 (0) 4 (0) 5 (1) 2 (0) Benon B.Asiimwe,1,2 Moses L. Joloba2, Solomon Ghebremichael1,3, Tuija Koivula4, David P. Kateete2, Fred K. Ashaba2, Alexander Pennhag3, Ramona Petersson3, and Gunilla Kallenius*,1,3. DNA Restriction Fragment Length Polymorphism Analysis of Mycobacterium tuberculosis Isolates from HIV-Seropositive and HIV-seronegative Patients in Kampala, Uganda. (Submitted to Clinical Microbiology and Infection) IS6110-RFLP clustering Fig. 1. Description of 33 clustered spoligotypes (2 to 49 cases) in the study Order STa 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 1 128 135 52 UGA1 590 21 125 UGA2 42 26 UGA3 78 UGA4 UGA5 UGA6 UGA7 UGA8 UGA9 4 142 UGA10 59 UGA11 UGA12 UGA13 UGA14 UGA15 UGA16 UGA17 64 288 UGA18 Nb (%) 04 (1.2) 49 (14.2) 38 (11.0) 26 (7.6) 17 (4.5) 15 (4.4) 12 (3.5) 11 (3.2) 10 (2.9) 09 (2.6) 09 (2.6) 09 (2.6) 09 (2.6) 09 (2.6) 09 (2.6) 09 (2.6) 08 (2.3) 07 (2.0) 07 (2.0) 06 (1.7) 06 (1.7) 06 (1.7) 05 (1.5) 05 (1.5) 04 (1.2) 04 (1.2) 03 (0.9) 03 (0.9) 03 (0.9) 02 (0.6) 02 (0.6) 02 (0.6) 02 (0.6) Spoligotype Patternc Labeld Beijing T2 T2-Uganda T2 ND T2 CAS1_KILI T2 T2 LAM9 CAS1_DELHI T2 T1-T2 T2 T2 T2 T2 T2 T2 LAM3/S CAS1 T2 LAM11-ZWE T2 ND ND ND ND ND ND LAM6 CAS2 ND aAs identified in SpolDB4.0; ST, Shared Type; Nb, Number of isolates (as a percentage of total M. tuberculosis strains in the study); cFilled boxes represent positive hybridization while empty boxes represent absence of spacers; dLabel defining the lineage/sub lineage; ND, Not yet determined in SpolDB4.0. Asiimwe BB, Ghebremichael S, Kallenius G, Koivula T, Joloba ML. Mycobacterium tuberculosis spoligotypes and drug susceptibility pattern of isolates from tuberculosis patients in peri-urban Kampala, Uganda. BMC Infect Dis. 2008 Jul 28;8(1):101. [Epub ahead of print] PMID: 18662405 [PubMed - as supplied by publisher] Need to strengthen systems to utilize existing and new technology Develop good tools to monitor lab performance Train TB teams at point of care Searching for Point of care test