Parasitic infection may be associated with discordant responses to QuantiFERON and tuberculin skin test in apparently healthy children and adolescents in a tuberculosis endemic setting, Ethiopia
© Wassie et al.; licensee BioMed Central Ltd. 2013
Received: 25 October 2012
Accepted: 29 May 2013
Published: 5 June 2013
M. tuberculosis remains one of the world’s deadliest pathogens in part because of its ability to establish persistent, latent infections, which can later reactivate to cause disease. In regions of the globe where disease is endemic, as much as 50% of the population is thought to be latently infected, complicating diagnosis and tuberculosis control. The tools most commonly used for diagnosis of latent M. tuberculosis infection are the tuberculin skin test and the newer interferon-gamma release assays, both of which rely on an antigen-specific memory response as an indicator of infection. It is clear that the two tests, do not always give concordant results, but the factors leading to this are only partially understood.
In this study we examined 245 healthy school children aged from 12 to 20 years from Addis Ababa, a tuberculosis-endemic region, characterised them with regard to response in the tuberculin skin test and QuantIFERON™ test and assessed factors that might contribute to discordant responses.
Although concordance between the tests was generally fair (90% concordance), there was a subset of children who had a positive QuantIFERON™ result but a negative tuberculin skin test. After analysis of multiple parameters the data suggest that discordance was most strongly associated with the presence of parasites in the stool.
Parasitic gut infections are frequent in most regions where M. tuberculosis is endemic. This study, while preliminary, suggests that the tuberculin skin test should be interpreted with caution where this may be the case.
KeywordsLatent tuberculosis QuantiFERON TST Adolescents Children Parasites
Tuberculosis (TB) is one of the infectious diseases that claims the most lives globally with annual estimates of approximately two million deaths and more than 9 million new cases . More than 90% of new cases occur in the developing countries , and Africa is particularly hard-hit with an estimated incidence rate of 363 and a prevalence of 475 per 100,000 population . Tuberculosis is also a national health priority in Ethiopia, since in that country, it is a leading cause of morbidity, the 3rd most frequent cause of hospital admission and 2nd most frequent cause of death after malaria . Tuberculosis affects both sexes and all ages, though in developing countries the active disease is primarily diagnosed in those between 15 and 45 years of age [1, 4]. After exposure to the TB-causing bacillus, Mycobacterium tuberculosis (M. tuberculosis); roughly a third of the exposed individuals will acquire the infection . Of these infected individuals, only 10% will present with clinical manifestations, while the majority remain latently infected [5–7]. Although a number of studies have been conducted to understand the mechanism underlying latency [5, 8, 9], the age at which this infection is acquired in life (and thus how much TB is actually reactivation of latent infection versus primary infection) is still debatable and data on how apparently healthy community controls behave immunologically at the early stage of such infection is still limited.
We therefore recruited a cohort of apparently healthy individuals between the age of 12 and 20 years from schools in Addis Ababa, the capital city of Ethiopia: a region where TB is endemic and transmission presumably frequent. As there is no gold standard for diagnosis of latent TB infection (LTBI), we compared the two most commonly-used immunodiagnostic tools used to identify LTBI, the tuberculin skin test (TST) and QuantiFERON TB Gold In-Tube (QFT-GIT). We also characterised this cohort with regard to factors which are thought to be relevant for tuberculosis disease, such as socioeconomic status, body mass index (BMI) scores, etc., as well as for expression of several genes previously shown to be associated with responses to M. tuberculosis infection. We found a generally fair correlation between the TST and QFT-GIT test, but the number of discordant results was noticeably higher in participants from poorer, government-supported schools. Of the factors analysed, parasitic infection, as assessed by the presence of parasites in the stool, appeared to be associated with a positive QFT-GIT result combined with a negative TST result.
Study design and participants
This manuscript reports on a cross-sectional study, conducted between March and September 2009, involving a total of 245 apparently healthy school children and adolescents, between the age of 12 and 20 years. All students lived and attended schools in Addis Ababa, the capital city of Ethiopia, where the incidence rate of TB is high and BCG vaccination is routinely administered at birth. All participants were HIV-negative and those who had a history of chronic illness, anemia or asthma/atopy were excluded from the study during recruitment after clinical/physical examination. In Ethiopia the basic education system involves enrollment around the age of 7, although children frequently enroll below this age. For practical reasons, children younger than 12 could not be investigated due to among others the reluctance of parents and guardians to allow testing and blood draws from younger healthy children.
In this study, participants were recruited from 7 different schools, (3 private and 4 government) located in three different sub-cities (Kolfe-Keranio, Lideta and Nifas-Silk Lafto), city administrative units of Addis Ababa, constituting a population between 200,000 and 500,000 . The study sites were selected based on close proximity to Armauer Hansen Research Institute (AHRI) laboratory, to avoid the risk of poor performance of laboratory procedures on the collected specimens due to handling delays, of which the different schools were selected randomly. Although basic education is similar in most schools in Ethiopia, the number of pupils attending per class and the resources vary depending on the type of school, where number of pupils per class in private schools is much smaller compared to government schools. In this study, the rationale for the selection of different school types was to include different levels of crowding and other possible risk factors of M. tuberculosis infection and transmission, which could serve as proxies for differences in the socio-economic situation of participants.
Description of socio-demographic features of the study participants (N= 245)
12-15 yrs: N (%)
16-20 yrs: N (%)
Male: N (%)
Female: N (%)
BMI (Kg/M 2 )
Underweight (<20): N (%)
Normal (20–30): N (%)
Overweight (>30): N (%)
Underweight (<18): N (%)
Normal (18–32): N (%)
Overweight (>32): N (%)
Government: N (%)
Private: N (%)
Family size category
1-6: N (%)
7-14: N (%)
Education status of participants’ families
Illiterate: N (%)
Primary education: N (%)
Secondary education: N (%)
Beyond secondary education: N (%)
Illiterate: N (%)
Primary education: N (%)
Secondary education: N (%)
Beyond secondary education: N (%)
Approximately 6 ml of peripheral venous blood was drawn from all eligible participants, of which 3 ml was used for QuantiFERON assay (Cellestis, Australia) and the remaining blood aliquoted into PAXgene blood RNA tubes (PreAnalytiX, QIAGEN) for analysis of cytokine mRNA expression. After collection, all blood specimens were transported to the AHRI laboratory at ambient temperature, whereupon the QuantiFERON tubes were incubated at 37°C immediately upon arrival and the PAXgene tubes were kept at room temperature for about 2 hours prior to processing. In addition to blood, stool specimens were also collected from all participants to investigate a possible role for parasites as risk factors for LTB infection and laboratory examinations were carried out using direct smear microscopy as well as the formalin ether concentration technique as described earlier .
QuantiFERON and tuberculin skin test
Approximately 1 ml of venous blood was aliquoted into each of three separate tubes of the QuantiFERON-TB Gold In Tube kit (QFT-GIT) (Cellestis, Australia): one tube containing only heparin, a negative control (Nil), another tube containing phytohaemagglutinin (PHA), a positive control (Mitogen) and the third tube containing overlapping peptides of ESAT-6, CFP-10 and TB7.7 (M. tuberculosis antigen). Assays were performed according to the manufacturer’s instruction, i.e., after blood drawing, tubes were shaken vigorously and incubated at 37°C (within 3 hours of blood collection) for about 20 hours at which time plasma was collected from each tube and stored at −20°C until assayed by ELISA. The level of IFN-γ was measured using the QFT-GIT ELISA In-Tube Kit (Cellestis, Australia) and test interpretation and results were analyzed using QuantiFERON-TB Gold Analysis Software (Version 2.50, Cellestis, Australia). A test for M. tuberculosis infection is considered positive if the amount of IFN-γ is ≥ 0.35 International Units (IU)/mL for (TB Antigen-Nil) and the test is valid if the (Mitogen-Nil) response is ≥ 0.50 IU/mL and/or (TB Antigen-Nil) is ≥ 0.35 IU/mL, according to the manufacturer’s instruction.
In addition to the QFT-GIT assay, a TST was done for all study participants, by the same study team, just after blood was drawn for the QFT-GIT assay. Briefly, 0.1 ml of 2 T.U. of Tuberculin PPD RT 23 (SSI, Denmark) was administered intradermally in the middle third of the lateral surface of the forearm and the transverse induration diameter was measured after 48–72 hours using the ball-point method to determine edges. A positive test interpretation was recorded using a 10 mm cut-off, according to the CDC TST classification for individuals living in highly TB-endemic settings .
RNA extraction, cDNA synthesis and quantitative Real-time PCR (qRT-PCR)
Extraction of RNA, cDNA synthesis and subsequent real-time PCR were performed as described earlier [13, 14]. Briefly, RNA was extracted from whole blood using the PAXgene Blood RNA Kit (PreAnalytiX, QIAGEN) according to the manufacturer’s instructions. The mRNA was reverse transcribed into cDNA, using the Omniscript Reverse Transcription Kit (QIAGEN, Germany) with the oligo(dT) primers (Promega, USA) according to the manufacturers’ instructions. The concentration of cDNA was further quantified using a GeneQuant spectrophotometer (Amersham Biosciences, UK), adjusted to the same level, aliquoted and stored at −20°C until assayed by quantitative real-time PCR (qRT-PCR).
In this study, we measured mRNA expression of three different cytokines; IFN-γ, IL-4 and its functional antagonist and splice variant, IL-4δ2, and a regulatory T-cell (TReg)-associated transcription factor, fork-head box P3 (FoxP3), in whole blood using the Rotor Gene-3000 system (Corbett Research, Australia). The qRT-PCR was carried out in a total volume of 12.5 μl, containing 1 μg of starting cDNA template using QuantiTect Probe RT-PCR Kit (QIAGEN, Germany) as described earlier . Briefly, primers (Alpha DNA, Canada) and TaqMan probes (Applied Biosystems, USA) were designed to span exon-intron junctions to prevent amplification of genomic DNA and to result in amplicons of fewer than 150 base pairs to enhance the efficiency of PCR amplification. Probes were labeled with the reporter dye molecule, FAM (6-carboxy-fluorescein; emission λmax = 518 ηm) and a quencher dye molecule, TAMRA (6-carboxytetramethyl-rhodamine; emission λmax = 582 nm) at the 5′ and 3′ end, respectively. The final concentration of primers and probes in each reaction was optimized between 200 nM and 500 nM. All the PCR reactions were run in duplicate and non-template controls were included in all the assays together with the samples, to test for contamination of reagents; and all the mixes were prepared using a Corbett sample preparation robot (Corbett Research, Australia).
Reaction efficiencies were derived from serial dilutions of cloned PCR product (standard copies of a specific gene) and if variation between duplicates varied by more than 10% the runs were repeated. Gene copy numbers of cytokine mRNA were quantified against a standard curve, normalized to a housekeeping gene, human acidic ribosomal protein (HuPO) that has been extensively validated earlier . In cases where the standard copies were not available, data were analyzed using the 2(−delta delta C(T)) method as previously described .
The data presented here were analyzed using STATA Data Analysis Software (Version 8.2, USA) and GraphPad Prism version 4.00 for Windows (GraphPad Software, San Diego California USA). Analysis of contingency tables and correlation between the different groups assumed different statistical approaches including logistic regression, multivariate analysis and chi-square test. Analysis of cytokine mRNA expression assumed one-way ANOVA (Kruskal-Wallis test) with Dunnett’s post test. In all instances, a P-value < 0.05 was considered statistically significant.
Results and discussion
Characteristics of study participants
Although schools were randomly picked, a slightly larger number of pupils were recruited from government compared to private schools (Table 1). Although all participants appeared to be apparently healthy, the majority of the participants (73%, 180/245) fall under the lower limit of BMI (Table 1), following the CDC categorization . There also appeared to be a difference in the percentage of participants who were underweight by gender. However, these differences must be treated with caution, as both normal weight and sexual dimorphism can vary by ethnicity, and there are to our knowledge no standardized BMI values in use as reference for Ethiopians.
Other factors such as family size and education level of participants’ families were assessed, as possible proxy markers for crowding or socio-economic status, both identified in the past as possible risk factors for M. tuberculosis infection. The median family size of the participants was five, a clear majority (73%) had a family size below six (Table 1); and most of the participants’ families had reached at least the secondary level of education (9–12 grade). This relatively high level of academic achievement can probably be attributed to the fact that participants were recruited from the capital city, Addis Ababa, where the majority of the city dwellers are literate; in contrast to the 2007 estimate by the United Nations Development Program, which reported the rate of literacy in the general population of Ethiopia to be around 35.9% .
Parasite burden among study participants (N= 245)
Study participants: N (%)
Total proportion of participants with parasitic infestation*
Proportion of participants with single parasite infestation (total)
Entamoeba histolytica trophozoite
Proportion of students with parasites/school type**
Proportion of participants with parasites by gender
Comparison of the tuberculin skin test and the QuantiFERON™ test in the study population
The rate of LTBI among study participants was estimated using the TST, a well-established tool for immunodiagnosis of M. tuberculosis infection and the QFT-GIT, a newer and more specific test [18, 19]. The overall rate of LTBI among study participants was approximately 11% by TST and 21% by QFT-GIT. The median induration size of the TST was 0 mm, range (0–33 mm) and a substantial majority (86%) had a TST induration size of less than 5 mm, of whom 11% were identified as positive by QFT-GIT. More than 90% (24/26) of the cases who were positive by TST were also identified as positive by QFT-GIT. The level of agreement between QFT-GIT and TST was moderate (κ-value = 0.56; P < 0.0001). We also saw a significant association between TST induration size and QFT-GIT response, where a larger induration size correlated with a higher likelihood of a positive QFT-GIT response (P < 0.0001). Among our participants, eight individuals had a TST induration size of 15 mm or above and all were detected as positive by QFT-GIT.
Correlations between socioeconomic indicators and positivity in the tuberculin skin test or QuantiFERON test
We looked at the impact of other factors such as sex, BMI, TB contact history, education level of participants’ families and family size of participants on acquisition of M. tuberculosis infection as assessed by TST or QFT-GIT and no apparent association was observed between these factors and a positive test outcome. In this study, we had only few individuals (19/245) who had a history of TB in their families and thus of possible contact; of whom 6 were positive by either of the tests, and of these, 4 were positive by both TST and QFT-GIT.
Proportion of QFT-GIT and TST positive responses with respect to school types
School type**: N (%)
Analysis of cytokine mRNA expression among TST and QuantiFERON positive and negative groups
Latent M. tuberculosis infection serves as a reservoir for new cases of TB and better methods of identifying and handling LTBI in TB-endemic countries are urgently needed (for example, active-case-finding) . This has led to interest in comparing results of the TST with the more-specific IGRAs. In this study, we aimed to compare responsiveness to these assays, in a cohort of apparently healthy school children and adolescents, from an area of high TB incidence in Ethiopia. Since currently there is no gold standard to confirm LTBI, the focus has therefore simply been on assay positivity and factors that might affect test results. Although a number of studies have been conducted using whole blood-based IGRAs, of which QuantiFERON-TB Gold is one, to our knowledge this is the first comparative study conducted in Ethiopia on apparently healthy children and adolescents.
In this study, prior testing with tuberculin in at least the past year prior to inclusion to the study was excluded by questionnaire; hence the effect of boosting was assumed to be trivial . The overall rate of reactivity to both TST and QFT-GIT was generally low among the study participants, with 11% reactivity to TST (at a cutoff of 10 mm) and 21% by QFT-GIT. A study conducted in a rural part of Ethiopia, among apparently healthy individuals, also indicated a very low level of reactivity to tuberculin prior to BCG vaccination, which later was boosted after vaccination . On the other hand, a higher TST conversion rate was reported in high-risk groups, living in a suburban area of Ethiopia, though this was at least partly due to BCG vaccination . A very recent report from apparently healthy Ethiopian adults showed a larger proportion of tuberculin reactors . Whether the majority of our participants did not respond to TST because of functionally depressed immune responses or because they were not infected with M. tuberculosis cannot be definitively answered by this study. However it can be stated that BCG status had no apparent effect on the degree of concordance between the QFT-GIT and TST results. There was also a trend towards increasing QFT-GIT positivity with age, but this was not seen for the TST. A more detailed analysis of the immunological response in this cohort is underway.
However, the unexpectedly low reactivity to TST, particularly among those who were positive by QFT-GIT, led us to explore the possibility that the TST was in some way inhibited, perhaps by some environmental factors such as parasitic infections. Consistent with this hypothesis, there was a strong association between parasite infestation and a discordant response to testing – in particular with a positive QFT-GIT response and a negative TST (Figure 1). The discordance in this study is primarily associated with results in children from government schools, who were more likely to be QuantiFERON positive than children from private or public schools, but no more likely to be TST+ than children from private schools and significantly less likely to be positive than children from public schools (Table 3). If we look at the population as a whole, at first glance, the TST does not appear to be unduly affected by parasitic infection: 10.2% of students with parasitic infections were TST+, versus 11.1% of students without. In contrast, 31.9% of students with parasitic infections were QFT+ versus 19.1% of students without parasitic infections. The group of students with discordant test results (QFT+/TST-) were disproportionately concentrated in government schools, suggesting that looking at the TST results alone across the whole population may miss some risk factors (there were only two – less than 1% of the students tested - TST+/QFT- discordant results, so we cannot say anything about this group). The mRNA profiles of QFT-GIT+ children in this study matched those previously reported in adult Ethiopians after treatment for TB, or with presumed latent infection [14, 20] consistent with the assumption that QFT-GIT+ children probably do represent cases of LTBI (Figure 2). Due to the difficulty of identifying true LTBI, we can do no more than speculate on the relationship of these results to infection at this point, but the results described here suggest that in at-risk populations, the TST may have impaired sensitivity – particularly since a similar profile (higher percentages of QuantiFERON positives than TST positives at a 10 mm cut-off) has also been found in large adolescent cohort studies in India (Authors, manuscript in preparation) and South Africa .
While the hypothesis that this decreased proportion of TST positives to QFT-GIT positives may be due to co-infection with parasites is attractive (particularly given earlier results from Ethiopia, that deworming improved immune responsiveness to PPD [24, 28] this idea must also be approached with caution. It is possible that these infections serve as a proxy for other factors. Parasitic infections were found in roughly double the percentage of students attending government schools (Table 2), compared to private or public schools. But government schools, which are free to attend, tend to attract children from poorer families, who may for example, have nutritional or health deficiencies not identified in our examinations. It should also be noted that a cross-sectional survey like this likely underestimates the prevalence of parasitic infections: many such infections appear to be transient and self-resolving. These results therefore apply to concurrent parasitic infection. We cannot do more than speculate on the potential effect of repeated parasitic infections over time.
In addition, correlations between gut infections and impaired immune responses to PPD or the TST remain controversial: some groups have reported them, others have not [24, 28, 29]. Some of the differences between reported results are very likely the effect of methodology and population. For example, in a study from Bangladesh, it was suggested that helminth infection could reduce responsiveness in the QFT-GIT , in contrast to the results reported here. However, in that study, the difference was seen in an increased number of indeterminate results rather than a decrease in positive results, and malnutrition rather than helminth infection per se appeared to be associated with decreased IFN-γ production. In this study, the number of indeterminate results, which can be greatly affected by sample handling, was very low, and malnutrition did not appear to be a significant factor. Consistent with this, parasitic gut infections did not correlate with significantly decreased IFN-γ production (or for that matter increased IL-4 production) in our study population (Figure 2) – a result that also matches with a separate, recent study in pastoralists from Ethiopia . Interestingly, although the focus is different, a study from South Africa looking at atopy noted that a negative TST was associated with increased levels of IgE against the helminth Ascaris lumbricoides indicating that there is some degree of interaction. It is likely that multiple factors can modulate these responses, and more research is clearly called for if we are to understand the limits of current immunodiagnostic tools.
We would like to thank the following individuals who have shared their expertise during the conduct of this study: Ato Alemayehu Kifle for collecting blood specimens, Dr. Alemnew Fitayhu and Dr. Surafel Gedamu for screening the study participants, nurses from GC-6 project and S/r Genet Amare for their work in TST, technicians Bantiyerga Tirualem and Namuna Ali for conducting parasitological examinations of stool specimens and Prof. Lashitew Gedamu from the University of Calgary, Canada for donating the primers and probes used in this study. We are also grateful to the study participants and participating schools in this study. This study was funded by the EU (contract number 045930) through the MUVAPRED project. The Armauer Hansen Research Institute is supported by the Ethiopian government and core grants from Sida and NORAD.
- World Health Organization: Global Tuberculosis Control. Epidemiology, Strategy, Financing. 2009, Geneva: WHOGoogle Scholar
- Kabra SK, Lodha R, Seth V: Some current concepts on childhood tuberculosis. Indian J Med Res. 2004, 120 (4): 387-397.PubMedGoogle Scholar
- Federal Ministry of Health: Tuberculosis, Leprosy and TB/HIV Prevention and Control Programme: Manual. 2008, Ethiopia, 4Google Scholar
- Dye C, Scheele S, Dolin P, Pathania V, Raviglione MC: Consensus statement. Global burden of tuberculosis: estimated incidence, prevalence, and mortality by country. WHO Global Surveillance and Monitoring Project. JAMA. 1999, 282 (7): 677-686. 10.1001/jama.282.7.677.View ArticlePubMedGoogle Scholar
- Manabe YC, Bishai WR: Latent Mycobacterium tuberculosis-persistence, patience, and winning by waiting. Nat Med. 2000, 6 (12): 1327-1329. 10.1038/82139.View ArticlePubMedGoogle Scholar
- Kaufmann SH: New issues in tuberculosis. Ann Rheum Dis. 2004, 63 (Suppl 2): ii50-ii56.PubMedPubMed CentralGoogle Scholar
- Salgame P: Host innate and Th1 responses and the bacterial factors that control Mycobacterium tuberculosis infection. Curr Opin Immunol. 2005, 17: 374-380. 10.1016/j.coi.2005.06.006.View ArticlePubMedGoogle Scholar
- Andersen P: Vaccine strategies against latent tuberculosis infection. Trends Microbiol. 2007, 15 (1): 7-13. 10.1016/j.tim.2006.11.008.View ArticlePubMedGoogle Scholar
- Kaufmann SHE, Parida KS: Tuberculosis in Africa: Learning from Pathogenesis for Biomarker Identification. Cell Host Microbe. 2008, 4: 219-228. 10.1016/j.chom.2008.08.002.View ArticlePubMedGoogle Scholar
- 2007, GeoHive, http://www.geohive.com/cntry/ethiopia.aspx,
- Cheesbrough M: Formol ether concentration technique. Medical Laboratory Manual for Tropical Countries. Volume I. 1987, Oxford: Butterworth-heinemann Ltd, pp: 164-272. 2Google Scholar
- CDC: Targeted tuberculin testing and treatment of latent tuberculosis infection. American Thoracic Society. MMWR Recomm Rep. 2000, 49 (RR-6): 1-51.Google Scholar
- Abebe M, Doherty TM, Wassie L, Aseffa A, Bobosha K, Demissie A, Zewdie M, Engers H, Andersen P, Kim L, et al: Expression of apoptosis-related genes in an Ethiopian cohort study correlates with tuberculosis clinical status. Eur J Immunol. 2010, 40 (1): 291-301.View ArticlePubMedGoogle Scholar
- Wassie L, Demissie A, Aseffa A, Abebe M, Yamuah L, Tilahun H, Petros B, Rook G, Zumla A, Andersen P, et al: Ex vivo cytokine mRNA levels correlate with changing clinical status of ethiopian TB patients and their contacts over time. PLoS One. 2008, 3 (1): e1522-10.1371/journal.pone.0001522.View ArticlePubMedPubMed CentralGoogle Scholar
- Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) Method. Methods. 2001, 25 (4): 402-408. 10.1006/meth.2001.1262.View ArticlePubMedGoogle Scholar
- Kuczmarski RJ, Ogden CL, Grummer-Strawn LM, Flegal KM, Guo SS, Wei R, Mei Z, Curtin LR, Roche AF, Johnson CL: CDC growth charts: United States. Adv Data. 2000, 314: 1-27.PubMedGoogle Scholar
- UNDP Report. 2009, http://hdrstats.undp.org/en/countries/country_fact_sheets,
- Bua A, Molicotti P, Delogu G, Pirina P, Mura MS, Madeddu G, Franca Saba F, Maida I, Sechi LA, Zanetti S: QuantiFERON TB Gold: a new method for latent tuberculosis infection. New Microbiol. 2007, 30 (4): 477-480.PubMedGoogle Scholar
- Manuel O, Kumar D, et al: QuantiFERON-TB Gold assay for the diagnosis of latent tuberculosis infection. Expert Rev Mol Diagn. 2008, 8 (3): 247-256. 10.1586/14737184.108.40.206.View ArticlePubMedGoogle Scholar
- Demissie A, Abebe M, Aseffa A, Rook G, Fletcher H, Zumla A, Weldingh K, Brock I, Andersen P, Doherty TM: Healthy individuals that control a latent infection with Mycobacterium tuberculosis express high levels of Th1 cytokines and the IL-4 antagonist IL-4delta2. J Immunol. 2004, 172 (11): 6938-6943.View ArticlePubMedGoogle Scholar
- John SH, Kenneth J, Gandhe AS: Host biomarkers of clinical relevance in tuberculosis: review of gene and protein expression studies. Biomarkers. 2012, 17 (1): 1-8. 10.3109/1354750X.2011.628048.View ArticlePubMedGoogle Scholar
- Abebe M, Doherty M, Wassie L, Demissie A, Mihret A, Engers H, Aseffa A: TB case detection: can we remain passive while the process is active?. Pan Afr Med J. 2012, 11: 50-PubMedPubMed CentralGoogle Scholar
- Menzies D: Interpretation of repeated tuberculin tests. Boosting, conversion, and reversion. Am J Respir Crit Care Med. 1999, 159 (1): 15-21. 10.1164/ajrccm.159.1.9801120.View ArticlePubMedGoogle Scholar
- Elias D, Britton S, Aseffa A, Engers H, Akuffo H: Poor immunogenicity of BCG in helminth infected population is associated with increased in vitro TGF-beta production. Vaccine. 2008, 26 (31): 3897-3902. 10.1016/j.vaccine.2008.04.083.View ArticlePubMedGoogle Scholar
- Tegbaru B, Wolday D, Messele T, Legesse M, Mekonnen Y, Miedema F, van Baarle D: Tuberculin skin test conversion and reactivity rates among adults with and without human immunodeficiency virus in urban settings in Ethiopia. Clin Vaccine Immunol. 2006, 13 (7): 784-789. 10.1128/CVI.00098-06.View ArticlePubMedPubMed CentralGoogle Scholar
- Dagnew AF, Hussein J, Abebe M, Zewdie M, Mihret A, Bedru A, Chanyalew M, Yamuah L, Medhin G, Bang P: Diagnosis of latent tuberculosis infection in healthy young adults in a country with high tuberculosis burden and BCG vaccination at birth. BMC research notes. 2012, 5 (1): 415-10.1186/1756-0500-5-415.View ArticlePubMedPubMed CentralGoogle Scholar
- Mahomed H, Hawkridge T, Verver S, Abrahams D, Geiter L, Hatherill M, Ehrlich R, Hanekom WA, Hussey GD: The tuberculin skin test versus QuantiFERON TB Gold(R) in predicting tuberculosis disease in an adolescent cohort study in South Africa. PLoS One. 2011, 6 (3): e17984-10.1371/journal.pone.0017984.View ArticlePubMedPubMed CentralGoogle Scholar
- Elias D, Wolday D, Akuffo H, Petros B, Bronner U, Britton S: Effect of deworming on human T cell responses to mycobacterial antigens in helminth-exposed individuals before and after bacille Calmette-Guerin (BCG) vaccination. Clin Exp Immunol. 2001, 123 (2): 219-225. 10.1046/j.1365-2249.2001.01446.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Thomas TA, Mondal D, Noor Z, Liu L, Alam M, Haque R, Banu S, Sun H, Peterson KM: Malnutrition and helminth infection affect performance of an interferon gamma-release assay. Pediatrics. 2010, 126 (6): e1522-e1529. 10.1542/peds.2010-0885.View ArticlePubMedPubMed CentralGoogle Scholar
- Legesse M, Ameni G, Mamo G, Medhin G, Bjune G, Abebe F: Association of the level of IFN-gamma produced by T cells in response to Mycobacterium tuberculosis-specific antigens with the size of skin test indurations among individuals with latent tuberculosis in a highly tuberculosis-endemic setting. Int Immunol. 2012, 24 (2): 71-78.View ArticlePubMedGoogle Scholar
- Obihara CC, Beyers N, Gie RP, Hoekstra MO, Fincham JE, Marais BJ, Lombard CJ, Dini LA, Kimpen JL: Respiratory atopic disease, Ascaris-immunoglobulin E and tuberculin testing in urban South African children. Clin Exp Allergy. 2006, 36 (5): 640-648. 10.1111/j.1365-2222.2006.02479.x.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2334/13/265/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.