| Literature DB >> 29970012 |
Nicholas D Walter1,2, Camille M Moore3, Xavier A Kayigire4, Christian Dide-Agossou5, William Worodria6,7, Laurence Huang8,9, Charles K Everett8,10, Gary S Schoolnik11, Payam Nahid8, J Lucian Davis12,13.
Abstract
BACKGROUND: According to the traditional tuberculosis (TB) treatment paradigm, the initial doses of treatment rapidly kill most Mycobacterium tuberculosis (Mtb) bacilli in sputum, yet many more months of daily treatment are required to eliminate a small, residual subpopulation of drug-tolerant bacilli. This paradigm has recently been challenged following the discovery that up to 90% of Mtb bacilli in sputum are culturable only with growth-factor supplementation. These "differentially culturable" bacilli are hypothesized to be more drug-tolerant than routinely culturable bacilli. This hypothesis implies an alternative paradigm in which TB treatment does not rapidly reduce the total Mtb population but only the small, routinely culturable subpopulation. To evaluate these competing paradigms, we developed a culture-independent method for quantifying the viable fraction of Mtb bacilli in sputum during treatment.Entities:
Keywords: Differentially culturable; Drug tolerance; Mycobacterium tuberculosis; Sputum; Treatment; Tuberculosis
Mesh:
Substances:
Year: 2018 PMID: 29970012 PMCID: PMC6029172 DOI: 10.1186/s12879-018-3213-7
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Fig. 1Estimated viable Mtb in sputum during the first 56 days of treatment for drug-susceptible TB among 41 Ugandan adults based on GeneXpert data. Models assumed different rates of clearance of DNA from dead Mtb ranging from instantaneous (black) to 0.5 days (blue) to 0.75 days (green), 1 day (orange), to 1.25 days (red)
Estimated burden of viable and dead Mtb and rates of killing, assuming different rates of DNA clearance among Ugandan patients with drug-susceptible TB
| DNA clearance rate | Genome equivalent viable | Genome equivalent dead | Reduction in viable | Change point in daysc | Early rate of killing d(log10/day) | Late rate of killing e(log10/day) | % decrease in rate of killing f | p-val for difference in rates | |
|---|---|---|---|---|---|---|---|---|---|
| log10 | % | ||||||||
| 0 | 4.4 | 0 | −1.6 | 97.2% | 8.8 | −0.22 | −0.07 | 69.4% | 0.004 |
| 0.5 | 4.1 | 3.9 | − 1.9 | 98.6% | 7 | −0.26 | −0.07 | 74.2% | 0.002 |
| 0.75 | 4.02 | 4.1 | −1.9 | 98.7% | 6.5 | − 0.29 | −0.07 | 76.8% | 0.003 |
| 1 | 4.0 | 4.2 | −1.9 | 98.8% | 5.7 | − 0.32 | −0.07 | 79.6% | 0.02 |
| 1.25 | 3.9 | 4.4 | − 1.9 | 98.8% | 5.0 | − 0.36 | −0.06 | 82.2% | 0.06 |
aGenome equivalents Mtb DNA remaining at day 7 expected to be from viable Mtb (log10)
bGenome equivalents Mtb DNA remaining at day 7 expected to be from dead Mtb (log10)
cTime point (in days) of change between early and late killing based on bi-exponential mixed effects models
dRate of decline in genomic equivalents Mtb before change point
eRate of decline in genomic equivalents Mtb after change point
fLate rate of killing relative to early rate of killing