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Journal of Clinical Microbiology, September 2008, p. 3177-3178, Vol. 46, No. 9
0095-1137/08/$08.00+0 doi:10.1128/JCM.00903-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.
| LETTER TO THE EDITOR |

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A total of 1,019 samples (417 pulmonary and 602 extrapulmonary) were consecutively and prospectively collected for tuberculosis (TB) diagnosis. They were processed using standard methodology (4) and divided into two parts. The first half of each sample was used for acid-fast staining and culture, while the second half was stored at –70°C. TB diagnosis of patients followed previous definitions (11). After diagnosis elucidation, the second part of each specimen obtained from TB-positive patients, as well as an equal number of specimens obtained from TB-negative patients, was thawed and DNA was extracted using a QIAamp DNA Mini kit (Qiagen, Hilden, Germany).
The RT-PCR targeted the IS6110 sequence, and the following primers, amplifying a 161-bp fragment, and MB were designed, using Beacon Designer 5.1 software (Premier Biosoft, Palo Alto, CA): TB2F (5'-GTCCACGCCGCCAACTACG-3'), TB2R (5'-GTTAGGTGCTGGTGGTCCGAAG-3'), and TB2B (6-carboxyfluorescein-5'-CGCGATCGCCACAGCCCGTCCCGCCGATGATCGCG-3'-benzoic acid succinimidyl ester). Conditions consisted of 2 min of denaturation at 95°C, 50 cycles of 45 s of denaturation at 93°C, 90 s of annealing at 60°C, and 2 min of extension at 72°C, and finally, 7 min of extension at 72°C. DNA extracted from the M. tuberculosis H37Rv strain (ATCC 25618) was used for the quantification standard curve. DNA from an M. avium and an M. chelonae clinical isolate, from an M. bovis BCG strain, and from Escherichia coli ATCC 25922, Pseudomonas aeruginosa ATCC 27853, Staphylococcus aureus ATCC 29213, Enterococcus faecalis ATCC 29212, Streptococcus pneumoniae ATCC 49619, and Bacteroides fragilis ATCC 25285 strains was used for specificity confirmation. The median and mean of the quantified DNA and cycle threshold values were calculated using Instat 3.0 software (GraphPad Software, San Diego, CA 92130). A previously reported (8) single-step conventional PCR (C-PCR) was used for comparisons.
With the RT-PCR protocol, a positive signal was detected using DNA only from the M. tuberculosis and the M. bovis strains. RT-PCR analytical sensitivity was 7 fg of DNA, corresponding to approximately 1.4 mycobacterial genomes. Overall, 32 patients were TB positive, and 40 specimens were obtained from those patients (Tables 1 and 2). A total of 40 specimens (10 pulmonary and 30 extrapulmonary) were also obtained from 34 TB-negative patients. The two PCR assays showed equally high levels of sensitivity (Table 1), although C-PCR performed better among pulmonary specimens and RT-PCR performed better among extrapulmonary specimens. Combining the two assays yielded 100% sensitivity. After testing the samples diluted 10–1, we found three samples to be inhibitory (one with both protocols and two with PCR only). DNA quantification results from comparisons of the main specimen types are shown in Table 2. The mean (± standard deviation) cycle threshold value for the RT-PCR was 33.5 (± 5.3; range, 19.3 to 40.7).
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TABLE 1. Sensitivities, specificities, and positive and negative predictive values of the two PCR assays
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TABLE 2. DNA quantification of the main specimen types by use of the RT-PCR protocol
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Our report has also shown that pulmonary and pus specimens had the highest median DNA loads, in contrast to the results seen with lymph nodes. Although lymph node biopsy is commonly used for extrapulmonary TB diagnosis, our results indicated that a specimen from the primal focal point of the disease, if retrievable, may yield higher mycobacterial loads.
There are no conflicts of interest to declare by any author.
Published ahead of print on 16 July 2008. |
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Joseph Papaparaskevas* Dimitra P. Houhoula Argirios Siatelis Athanassios Tsakris Department of Microbiology Medical School National and Kapodistrian University of Athens 75 Mikras Asias Str. 11527 Athens, Greece
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* Phone: 30-210-7462142 Fax: 30-210-7462143 E-mail: ipapapar{at}med.uoa.gr |
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