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Isoniazid prophylaxis differently modulates T-cell responses to RD1-epitopes in contacts recently exposed to Mycobacterium tuberculosis: a pilot study

Abstract

Rationale

Existing data on the effect of treatment of latent tuberculosis infection (LTBI) on T-cell responses to Mycobacterium tuberculosis (MTB)-specific antigens are contradictory. Differences in technical aspects of the assays used to detect this response and populations studied might explain some of these discrepancies. In an attempt to find surrogate markers of the effect of LTBI treatment, it would be important to determine whether, among contacts of patients with contagious tuberculosis, therapy for LTBI could cause changes in MTB-specific immune responses to a variety of RD1-antigens.

Methods and results

In a longitudinal study, 44 tuberculin skin test+ recent contacts were followed over a 6-month period and divided according to previous exposure to MTB and LTBI treatment. The following tests which evaluate IFN-gamma responses to RD1 antigens were performed: QuantiFERON TB Gold, RD1 intact protein- and selected peptide-based assays. Among the 24 contacts without previous exposure that completed therapy, we showed a significant decrease of IFN-gamma response in all tests employed. The response to RD1 selected peptides was found to be more markedly decreased compared to that to other RD1 antigens. Conversely, no significant changes in the response to RD1 reagents were found in 9 treated subjects with a known previous exposure to MTB and in 11 untreated controls.

Conclusion

These data suggest that the effect of INH prophylaxis on RD1-specific T-cell responses may be different based on the population of subjects enrolled (recent infection versus re-infection) and, to a minor extent, on the reagents used.

Background

According to the World health Organization, one-third of the world's population harbours Mycobacterium tuberculosis (MTB) in an asymptomatic, latent form (latent tuberculosis [TB] infection [LTBI]) but retains a lifelong risk of future disease. The control and elimination process of the global TB epidemic could be enhanced by identification and treatment of individuals with LTBI, in particular of individuals who recently acquired the infection as the risk of developing active disease is higher in the first 2 years after exposure [1, 2].

Until recently, the tuberculin skin test (TST) has been the only tool used to detect LTBI, but this test is flawed operationally and in terms of specificity and sensitivity [3]. Lately, in vitro assays have been made available that detect interferon (IFN)-gamma responses to a combination of antigens (early secreted antigenic target 6 [ESAT-6] and culture filtrate protein 10 [CFP-10]) encoded by the RD1 (region of difference) genomic segment, which is absent from most non-pathogenic mycobacteria, including Bacillus Calmette Guerin (BCG) [3–5]. Available evidence suggests that these tests may be more accurate than TST in the diagnosis of MTB infection, either latent or active, and two tests have been approved for the diagnosis of TB [6–13]. Moreover, results of our previous studies suggest that IFN-gamma response to multiepitopic peptides from ESAT-6 and CFP-10 (RD1) proteins selected by computational analysis is associated with active TB disease [14–18].

Several unresolved issues remain on the potential clinical use of IFN-gamma release assays [6, 7], and one area of controversy is whether these immune assays can be used for monitoring the response to TB treatment. Conflicting results are available on the effect of therapy for active TB disease on RD1 responses with reduced or increased responses during treatment [15, 19–21]. The existing data on the effect of LTBI treatment on T-cell responses are also contradictory [22–25]. One study shows declining responses [22], whereas others have shown unchanging [23], fluctuating or increasing responses during therapy [24, 25]. It is plausible that variations in technical aspects of assay performance such as antigens used (proteins vs. peptides), assay formats (ELISA vs. ELISPOT), time of observation (during therapy or after therapy completion), and population studied (recent versus old contacts) might explain some of these discrepancies.

Consequently, we reasoned that in an attempt to find surrogate markers of the effect of LTBI therapy, it would be important to determine in a prospective study whether, in a defined population of recent healthy close contacts of patients with pulmonary TB, isoniazid (INH) for LTBI treatment could cause changes in MTB-specific immune responses to a variety of RD1 antigens, such as the RD1 overlapping peptides of the QuantiFERON TB-Gold assay (QTF-G), RD1 intact proteins and selected peptides. Moreover to evaluate whether or not a previous infection could influence such response we included a control group composed of subjects with a known past exposure to MTB.

Materials and methods

Patient population and study design

In a one-year period we enrolled close contacts of infectious TB patients in 2 outpatient services in Rome, Italy (Presidio interzonale di pneumologia ASL Roma E, and National Institute for Infectious Diseases "L. Spallanzani"). We included in the present analysis individuals who tested TST+, who consented to provide a blood sample at the time of initial screening (time 1) and on subsequent occasions within the following six months (after 1–2 months: time 2; after 6 months: time 3), and who were symptom-free and with normal chest radiographs [chest radiographs were read by one board-certified radiologist and at least one infectious disease specialist or pneumologist (DG, GA, DD)] on initial screening. Patients were not included in the analysis if they were at risk for Human Immunodeficiency Virus infection (HIV), or if they reported having had active TB in the past, or having previously received treatment for LTBI. Upon enrolment demographic and epidemiological information were collected, including information about BCG vaccination. Data were collected by the physician through a structured questionnaire.

Individuals included in the analysis were classified into four groups based on the history of past exposure to a patient with contagious TB, and on whether or not they were receiving treatment for LTBI. The study was approved by the ethics committee at our institution and all enrolled individuals provided written informed consent prior to screening procedures, as did the parents of the children included in the study.

TST

TST was administered by the Mantoux procedure using 5 IU of purified protein derivative (PPD) (Chiron, Siena, Italy). Results were read after 72 hours. Induration of at least 5 mm was considered a positive response [26, 27].

Whole blood ELISA (WBE) based on RD1 selected peptides and proteins

Selection of Human Leukocyte Aplotype (HLA)-class II-restricted epitopes of ESAT-6 and CFP-10 proteins was performed by quantitative implemented HLA peptide-binding motifs analysis [14]. Peptides were synthesized as free amino acid termini using Fmoc chemistry (ABI, Bergamo, Italy). The following lyophilized peptides, diluted in DMSO at stock concentrations of 10 mg/mL, were used and stored at -80°C: ESAT-6 6–28, 67–79 and CFP-10 18–31, 41–68, 74–86.

All samples were analyzed by WBE assays, as previously described [16]. Briefly, 0.5 ml per well of heparinized blood was seeded in a 48-well plate and treated with RD1 intact proteins at 0.2 μg/ml (Lionex, Braunschweig, Germany), RD1 selected peptides (pool of CFP-10 peptides at 6 μg/ml; pool of ESAT-6 peptides at 10 μg/ml), purified protein derivative (PPD) at 5 μg/ml (batch RT 47, Staten Serum Institut, Copenhagen, Denmark) and Phytohemagglutinin (PHA) at 5 μg/ml (Sigma, St Louis, MO, USA). Samples were then incubated for 24 hours at 37°C. IFN-gamma levels in culture supernatants were assessed by a commercially available kit (QuantiFERON-CMI kit, Cellestis Limited, Carnegie, Victoria, Australia). For IFN-gamma values above 10 IU/ml serial dilutions of plasma were performed.

Results are presented as IU/ml for ELISA after subtraction of the appropriate control according to the described criteria [16]. Cut-off values were determined by constructing a Receiver Operator Characteristic (ROC) curve by means of LABROC-1 software and were 0.7 IU/mL for all stimuli.

Commercially available assay

QTF-G (Cellestis Limited, Carnegie, Victoria, Australia) was performed and its results were scored as indicated by the manufacturer (cut-off value for a positive test was 0.35 IU/ml). For IFN-gamma values above 10 IU/ml serial dilutions of plasma were performed.

Statistical analysis

The main outcome of the study was the effect of treatment in terms of IFN-gamma production in response to antigenic stimulation in the QTF-G and WBE, expressed as dichotomous (positive/negative) and continuous (IU/mL) measures. IFN-gamma mean ± SE was calculated. The Mann-Whitney U test was used to compare continuous variables, and Chi square or McNemar tests were used for categorical variables. Analysis was carried out with SPSS v 14 for Windows (SPSS Italia srl, Bologna, Italy).

Results

We prospectively recruited 238 contacts of patients with sputum smear positive pulmonary TB. Among them, 146 resulted TST+ and 44 of them accepted to be followed over time and were included in the analysis. The study group was divided into those who did not report having had any previous exposure to a smear positive TB case (30), and those who did (14). Among the former group, 6 patients did not receive therapy on the grounds that two were contacts of a patient with multidrug-resistant TB, two had chronic hepatitis C and two refused treatment; five subjects belonging to the latter group decided to not undergo INH therapy (figure 1).

Figure 1
figure 1_543

Study flow diagram. PPD: purified protein derivative; RD: region of difference; QTF-G: QuantiFERON TB Gold; INH: isoniazid; TST: tuberculin skin test.

Characteristics of individuals enrolled, divided according to previous TB exposure and LTBI treatment are shown in table 1. The group of those without a previous exposure under INH therapy had a significantly younger age (p < 0.001) compared to the other groups. No significant differences among the four groups were observed for the characteristics considered.

Table 1 Epidemiological and demographic characteristics of TST+ contacts of pulmonary TB cases included in the study.

Time course of MTB-specific immune response in recently exposed contacts

Untreated subjects

In all 6 untreated individuals without a known exposure to MTB IFN-gamma production did not significantly change over time for any of the stimuli and tests used (PPD, QTF-G, RD1 intact proteins and peptides) (table 2). Similar data were obtained in 5 individuals with a reported TB exposure in the past re-exposed recently to MTB that refused INH therapy (table 3).

Table 2 TST+ subjects without a past MTB exposure: trends of RD1 test during follow up in the responders*
Table 3 TST+ subjects with a past MTB exposure: trends of RD1 test during follow up in the responders*

INH-treated subjects

The IFN-gamma response to PPD, QTF-G, RD1 intact proteins and selected peptides of the 24 TST+ individuals that started therapy, and that did not report a previous exposure to MTB in the past, is shown in Figure 2 and table 2.

Figure 2
figure 2_543

A-D. INH-treated TST+subjects without a past MTB exposure: time course ofM.tuberculosis-specific immune response. Responses to PPD, RD1 intact proteins, RD1 selected peptides and QTF-G in TST+ contacts that underwent INH therapy were evaluated over time at time 1 (baseline), time 2 (after 1–2 months of INH therapy), time 3 (therapy completion). Responses to PPD (A) were not significantly affected, unlike those to QTF-G (B), to RD1 intact proteins (C), and to RD1 selected peptides (D), which were found to significantly change over time. PPD: purified protein derivative; RD: region of difference; QTF-G: QuantiFERON TB Gold; IFN: interferon; IU: international units.

IFN-gamma production in response to PPD was detected in all the individuals studied (24/24, 100%) and did not significantly change over time (Figure 2A and table 2).

In the QTF-G assay, 5 of the 24 contacts did not respond throughout the study period. In the 19 individuals who did show a response, IFN-gamma significantly decreased at time 2 (p = 0.03 vs. time 1) with a 34% reduction over baseline, and a 70% reduction at time 3 (p = 0.0001 vs. time 1) (Figure 2B and table 2). The proportion of positive responses to QTF-G at time 2 (18/19) and at time 3 (18/19) did not differ significantly from that observed at time 1.

Responses to RD1 intact proteins at baseline were negative in 6 of the 24 contacts and remained negative over time. In the 18 responders a significant decrease in IFN-gamma production was noticed: 57% reduction over baseline at time 2, (p = 0.001 vs. time 1) and 79% reduction at time 3 (p = 0.0002 vs. time 1) (Figure 2C and table 2). The percentage of positive responses at time 2 was 77% (14/18) (p > 0.5 vs. time 1) and 61% (11/18) at the end of therapy (p < 0.007 vs. time 1).

Responses to RD1 selected peptides were noticed in 15/24 subjects, while the remaining 9 were negative throughout the study. The 15 responders showed a significant decrease of IFN-gamma production at time 2 (p = 0.005 vs. time 1) with a 63% reduction over baseline, and a 91% reduction at time 3 (p = 0.0005 vs. time 1), as shown in figure 2D and table 2. The percentage of positive responses to RD1 selected peptides was 73% (11/15) at time 2 (p > 0.5 vs. time 1) and 47% (7/15) at the end of treatment (p < 0.002 vs. time 1).

Among these same individuals TST cuticonversion was observed in 9/24. However no differences were observed in the trends of RD1 responses when the results from these individuals were compared with those from the remaining 15 subjects in whom a cuticonversion was not observed (data not shown).

It is interesting to note that in the group of the 9 individuals that reported an exposure to MTB in the past and started INH therapy at the time of the present study, the IFN-gamma response to PPD, QTF-G, RD1 intact proteins and selected peptides did not significantly change over time (Figure 3 and table 3). In particular, all 9 individuals responded to PPD, QTF-G, RD1 intact proteins whereas only 6 responded to the selected peptides. Percentages of positive responses remained stable over time for all the stimuli used.

Figure 3
figure 3_543

A-D. INH-treated TST+subjects with a past MTB exposure: time course ofM.tuberculosis-specific immune response. Responses to PPD (A), QTF-G (B), RD1 intact proteins (C), and RD1 selected peptides (D) in TST+ contacts that underwent INH therapy were evaluated over time at time 1 (baseline), time 2 (after 1–2 months of INH therapy), time 3 (therapy completion) and no statistically significant changes were recorded. PPD: purified protein derivative; RD: region of difference; QTF-G: QuantiFERON TB Gold; IFN: interferon; IU: international units.

Discussion

In this pilot study, we show that INH preventive therapy is associated with a significant decrease of the in vitro RD1 responses in individuals with LTBI with a recent exposure to MTB, who did not report any exposure in the past. This decrease was observed, although to a different extent, with all RD1 antigen reagents used. It is important to note that the trend of decrease of the test using RD1 selected peptides was particularly marked after 1–2 months of therapy and that the response of the majority became undetectable after six months, while the response to the other RD1 products (overlapping peptides of the QTF-G and RD1 intact proteins) decreased more slowly and fewer negative results were observed after six months of therapy. These differences may be related to the amount and the composition of epitopes covered by the peptides and intact proteins. For example, the peptides employed in the QTF-G cover the whole CFP-10 and ESAT-6 intact proteins (in addition to having a peptide from TB7.7) [12] whereas the peptides used in our assay are few and selected in order to be highly immunogenic [14]. Based on our data, this oligoclonal response appears to be a sensitive tool to monitor MTB replication as well as active TB disease, more so than the polyclonal one against all RD1 epitopes. It is also important to note that among all these recent contacts nine did not respond at the first time of observation to RD1 selected peptides. Five of them did not respond to QTF-G either, and therefore it is likely that these subjects were not infected with MTB, although they were TST+. Further investigations are needed to clarify the meaning of these differences. In contrast, no significant variation was observed in individuals with LTBI who, in addition to a recent exposure, had also a past exposure to contagious TB patients. Altogether, these data suggest that RD1-based assays may be a tool to monitor therapy-related changes of MTB-specific immune responses not only in patients with active disease, as previously demonstrated by us and others [15, 19–21], but also in individuals with a recently acquired LTBI.

A few studies have been previously published on the effect of LTBI therapy on T-cell responses. Decreasing responses to CFP-10 overlapping peptides, and not to ESAT-6, were found after INH therapy in recently exposed contacts [22] that are comparable to the group of recent contacts evaluated in the present study. However, we did not find differences in the responses to the reagents CFP-10 and ESAT-6 evaluated separately (either proteins or peptides, data not shown). On the other hand, increasing and/or fluctuating IFN-gamma responses were found by Ewer et al. in children exposed for over 9 months to a case of pulmonary TB that underwent therapy (INH and rifampicin) almost a year after exposure [25]. Given the continuous exposure over a considerable period of time described in that paper, it is plausible that LTBI was already established at the time of treatment, with the consequence of a different modulation of T-cell responses compared to our study in which treatment was rapidly started in those without a past contact with MTB. In addition, in this study INH was used as chemotherapy, whereas other studies reported INH plus rifampicin [25] and it is unknown if different chemotherapies may have a different impact on MTB antigen exposure to the immune system [28]. Conversely Pai et al. found unchanging IFN-gamma responses to QTF-G after INH therapy in a population of health care workers (HCW) in India [23]. These subjects, given their continuous exposure to MTB, might have an immune response similar to that of our group of re-infected individuals in which no change of RD1 responses was observed over time, and therefore these results are comparable to ours. These data may indicate that the conflicting results found in the literature may be due, at least in part, to the population selected (recent infection vs. past infection with re-exposure).

The reasons for the different effect of therapy in modulating RD1 responses in recently infected patients vs. those potentially reinfected, observed in the present study, are currently unclear. In several models of infectious diseases it has been shown that the immune response is strictly dependent on pathogen replication and antigenic load [29–31]. In studies on in vitro IFN-gamma response to TB antigens in particular, it has been hypothesized that short incubation assays (as those used in this study) detect responses of partially activated effector T cells that have recently encountered antigens in vivo, and can therefore rapidly release IFN-gamma when stimulated in vitro. This suggests a correlation between the measure of this response and antigen load [6, 11, 12]. All the contacts who received INH in this study were exposed to an index TB case who was infected by an INH-sensitive strain, and all these contacts had good adherence to treatment as assessed by interview. Therefore it can be hypothesized that subjects treated early after recent infection may have had a rapidly controlled infection owing to the combination of an effective treatment and an efficient immune response, with a consequent decrease of the RD1-specific effector cells. In contrast, it is likely that contacts with previous untreated LTBI host different populations of mycobacteria, characterised by different growth rates: those originating from the recent infection, which are actively replicating and on which INH is effective, and those in a dormant state that INH is not effective in killing [28]. This pool of dormant bacilli may be the cause of the longer persistence of the T cell response over time and also be responsible for the generation and maintenance of a large population of memory cells, similar to that obtained after several boosts of vaccination; at the time of the present study, reinfection may have caused a rapid and strong effector/memory response caused by the expansion of this pool of central memory cells [32]. However it is possible that this response would decrease at later time points than the 6 months of our study. Therefore, future investigations are needed to evaluate the role of effector and memory T cells on the modulation of this long lasting response not only within, but also beyond the period of treatment. Based on all these observations, although LTBI has been proposed to be a static process [33], our data favour a dynamic model of LTBI, whereby subpopulations of actively replicating bacilli are controlled by the immune response [18, 22–25].

Some potential limitations of the present study should be considered. Firstly, we were able to document only 9 cuticonversions among the 24 individuals who did not report a previous exposure to MTB. This limit however is common to previous studies [22, 25], and it is important to note that the risk of previous unknown exposures in these individuals is very low because the subjects enrolled were young (median age 21 years) and the majority were born in Italy (68%) where the incidence of TB is low (8 per 100,000 inhabitants in 2004, including 39% of foreign-born individuals) [34]. Secondly, TB exposure was assessed by administering a questionnaire, and thus this information may be affected by recall bias. Thirdly, INH was not administered as directly observed therapy and consequently the evaluation of adherence, performed by patient interview, may have been imprecise. Lastly, generalisation of our results may be limited by the fact that a relatively low number of TST+ subjects were available for follow-up, since many individuals refused further blood drawing.

Conclusion

In conclusion, our preliminary data suggest the possibility of using RD1 immune responses as surrogate markers of efficacy during LTBI treatment. A larger study is needed to better evaluate the difference in kinetics of the T-cell response after exposure to MTB in those with an already established LTBI vs. those recently infected.

Abbreviations

• BCG:

Bacillus Calmette Guerin

• CFP:

culture filtrate protein

• ESAT:

early secreted antigenic target

• HIV:

Human Immunodeficiency Virus infection

• IFN:

interferon

• INH:

isoniazid

• IU:

international unit

• LTBI:

Latent tuberculosis infection

• MTB:

Mycobacterium tuberculosis

• PHA:

Phytohemagglutinin

• PPD:

purified protein derivative

• QFT-G:

QuantiFERON TB Gold

• RD:

region of difference

• RD1:

CFP-10 and ESAT-6

• TST:

tuberculin skin test

• TB:

Tuberculosis

• WBE:

whole blood ELISA

References

  1. World Health Organization: Global tuberculosis control. Surveillance planning, financing. WHO Report Geneva: World Health Organization 2005, 1–247.

  2. New framework for tuberculosis control and elimination in countries with a low incidenceEur Respir J 2002, 19:1–11.

  3. Barnes PF: Diagnosing latent tuberculosis infection: turning glitter to gold. Am J Respir Crit Care Med 2004, 170:5–6.

    Article  PubMed  Google Scholar 

  4. Behr MA, Wilson MA, Gill WP, Salamon H, Schoolnik GK, Rane S, Small PM: Comparative genomics of BCG vaccines by whole-genome DNA microarray. Science 1999, 284:1520–23.

    Article  CAS  PubMed  Google Scholar 

  5. Sorensen AL, Nagai S, Houen G, Andersen P, Andersen AB: Purification and characterization of a low-molecular-mass T-cell antigen secreted by Mycobacterium tuberculosis . Infect Immun 1995, 63:1710–17.

    CAS  PubMed  PubMed Central  Google Scholar 

  6. Pai M, Riley LW, Colford JM Jr: Interferon-gamma assays in the immunodiagnosis of tuberculosis: a systematic review. Lancet Inf Dis 2004, 4:761–76.

    Article  CAS  Google Scholar 

  7. Dheda K, Udwadia ZF, Huggett JF, Johnson MA, Rook GA: Utility of the antigen-specific interferon-gamma assay for the management of tuberculosis. Curr Opin Pulm Med 2005, 11:195–202.

    Article  CAS  PubMed  Google Scholar 

  8. Ravn P, Demissie A, Equale T, Wondwosson H, Lein D, Amoundy HA, Mustafa AS, Jensen AK, Holm A, Rosenkrands I, Oftung F, Olobo J, Von Reyn F, Andersen P: Human T cell responses to the ESAT-6 antigen from Mycobacterium tuberculosis . J Infect Dis 1999, 179:637–45.

    Article  CAS  PubMed  Google Scholar 

  9. Ulrichs T, Munk ME, Mollenkopf H, Behr-Perst S, Colangeli R, Gennaro ML, Kauffman SH: Differential T cell responses to Mycobacterium tuberculosis ESAT-6 in tuberculosis patients and healthy donors. Eur J Immunol 1998, 28:3949–58.

    Article  CAS  PubMed  Google Scholar 

  10. Doherty TM, Demissie A, Olobo J, Wolday D, Britton S, Equale T, Ravn P, Andersen P: Immune responses to the Mycobacterium tuberculosis -specific antigen ESAT-6 signal subclinical infection among contacts of tuberculosis patients. J Clin Microbiol 2002, 40:704–06.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Lalvani A, Pathan AA, Durkan H, Wilkinson KA, Whelan A, Deeks JJ, Reece WH, Latif M, Pasvol G, Hill AV: Enhanced contact tracing and spatial tracking of Mycobacterium tuberculosis infection by enumeration of antigen-specific T cells. Lancet 2001, 357:2017–21.

    Article  CAS  PubMed  Google Scholar 

  12. Mori T, Sakatani M, Yamagishi F: Specific Detection of Tuberculosis Infection with an Interferon-gamma-based assay using new antigens. AJRCCM 2004, 170:59–64.

    Google Scholar 

  13. Centers for Disease Control and Prevention: Guidelines for preventing the transmission of Mycobacterium tuberculosis in health-care settings. MMWR 2005, 54:1–141.

    Google Scholar 

  14. Vincenti D, Carrara S, De Mori P, Pucillo LP, Petrosillo N, Palmieri F, Armignacco O, Ippolito G, Girardi E, Amicosante M, Goletti D: Identification of ESAT-6 epitopes for the immunodiagnosis of active tuberculosis. Mol Med 2003, 19:105–11.

    Google Scholar 

  15. Carrara S, Vincenti D, Petrosillo N, Amicosante M, Girardi E, Goletti D: Use of a T-cell-based assay for monitoring efficacy of anti-tuberculosis therapy. Clin Inf Dis 2004, 38:754–56.

    Article  CAS  Google Scholar 

  16. Goletti D, Vincenti D, Carrara S, Butera O, Bizzoni F, Bernardini G, Amicosante M, Girardi E: Selected RD1 peptides for active tuberculosis diagnosis: comparison of a gamma interferon whole-blood enzyme-linked immunosorbent assay and an enzyme-linked immunospot assay. Clin Diagn Lab Immunol 2005, 12:1311–16.

    CAS  PubMed  PubMed Central  Google Scholar 

  17. Goletti D, Carrara S, Vincenti D, Saltini C, Busi Rizzi E, Schininà V, Ippolito G, Amicosante M, Girardi E: Accuracy of an immune diagnostic assay based on RD1 selected epitopes for active tuberculosis in a clinical setting: a pilot study. Clinical Microbiology and Infection 2006, 12:544–50.

    Article  CAS  PubMed  Google Scholar 

  18. Goletti D, Butera O, Bizzoni F, Casetti R, Girardi E, Poccia F: RD1-specific memory CD4 T + cells correlates with favourable outcome of tuberculosis. JID 2006, 194:984–92.

    Article  CAS  PubMed  Google Scholar 

  19. Aiken AM, Hill PC, Fox A, McAdam KP, Jackson-Sillah D, Lugos MD, Donkor SA, Adegbola RA, Brookes RH: Reversion of the ELISPOT test after treatment in Gambian tuberculosis cases. BMC Infect Dis 2006, 6:66.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Lalvani A, Nagvenkar P, Udwadia Z, Pathan AA, Wilkinson KA, Shastri JS, Ewer K, Hill AV, Mehta A, Rodrigues C: Enumeration of T cells specific for RD1-encoded antigens suggests a high prevalence of latent Mycobacterium tuberculosis infection in healthy urban Indians. J Infect Dis 2001, 183:469–477.

    Article  CAS  PubMed  Google Scholar 

  21. Nicol MP, Pienaar D, Wood K, Eley B, Wilkinson RJ, Henderson H, Smith L, Samodien S, Beatty D: Enzyme-linked immunospot assay responses to early secretory antigenic target 6, culture filtrate protein 10, and purified protein derivative among children with tuberculosis: implications for diagnosis and monitoring of therapy. Clin Infect Dis 2005, 40:1301–8.

    Article  CAS  PubMed  Google Scholar 

  22. Chee CB, Khinmar KW, Gan SH, Barkham TM, Pushparani M, Wang YT: Latent Tuberculosis Infection Treatment and T-cell responses to M. tuberculosis-Specific Antigens. Am J Respir Crit Care Med 2006. doi:10.1164/rccm.200608–11090C.

  23. Pai M, Joshi R, Dogra S, Pai M, Joshi R, Dogra S, Mendiratta DK, Narang P, Dheda K, Kalantri S: Persistently elevated T cell interferon-gamma responses after treatment for latent tuberculosis infection among health care workers in India: a preliminary report. Journal of Occupational Medicine and Toxicology 2006, 1:1–7.

    Article  Google Scholar 

  24. Wilkinson KA, Kon OM, Newton SM, Meintjes G, Davidson RN, Pasvol G, Wilkinson RJ: Effect of treatment of latent tuberculosis infection on the T cell response to Mycobacterium tuberculosis antigens. J Infect Dis 2006, 193:354–9.

    Article  CAS  PubMed  Google Scholar 

  25. Ewer K, Millington KA, Deeks JJ, Alvarez L, Bryant G, Lalvani A: Dynamic Antigen-specific T Cell Responses after Point-source Exposure to Mycobacterium tuberculosis. Am J Respir Crit Care Med 2006, 174:831–9.

    Article  CAS  PubMed  Google Scholar 

  26. American Thoracic Society: Targeted tuberculin testing and treatment of latent tuberculosis infection. MMWR Morb Mortal Wkly Rep 2000, 49:1–51.

    Google Scholar 

  27. Migliori GB, Hopewell PC, Blasi F, Spanevello A, Raviglione MC: Improving the TB case management: the international standards for tuberculosis care. Eur Respir J 2006, 28:687–90.

    Article  CAS  PubMed  Google Scholar 

  28. Wayne LG, Hayes LG: An in vitro model for sequential study of shiftdown of Mycobacterium tuberculosis through two stages of nonreplicating persistence. Infect Immun 1996, 64:2062–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  29. Seder RA, Ahmed R: Similarities and differences in CD4+ and CD8+ effector and memory T cell generation. Nat Immunol 2003, 4:835–42.

    Article  CAS  PubMed  Google Scholar 

  30. Pantaleo G, Harari A: Functional signatures in antiviral T-cell immunity for monitoring virus-associated diseases. Nat Rev Immunol 2006, 6:417–23.

    Article  CAS  PubMed  Google Scholar 

  31. Mollet L, Li TS, Samri A, Tournay C, Tubiana R, Calvez V, Debre P, Katlama C, Autran B: Dynamics of HIV-specific CD8 + T lymphocytes with changes in viral load. J Immunol 2000, 165:1692–04.

    Article  CAS  PubMed  Google Scholar 

  32. Godkin AJ, Thomas HC, Openshaw PJ: Evolution of Epitope-Specific Memory CD4-T Cells After Clearance of Hepatitis C Virus. J Immunol 2002, 169:2210–14.

    Article  CAS  PubMed  Google Scholar 

  33. Munoz-Elias EJ, Timm J, Botha T, Chan WT, Gomez JE, McKinney JD: Replication dynamics of Mycobacterium tuberculosis in chronically infected mice. Infect Immun 2005, 73:546–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. [http://www.ministerosalute.it/promozione/malattie/bollettino.jsp]

Download references

Acknowledgements

The authors are grateful to all patients and nursing staff who took part in this study. We thank Drs P. Del Porto, A. Martino, V. Puro and E. Coccia for critical review of the paper.

The paper was supported by a grant from the Italian ministry of Health (RF 04.126 and ricerca corrente). FP was supported by FIRB-MIUR and RTD European Union Project 6th Framework program (TB-VAC).

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Correspondence to Delia Goletti.

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Competing interests

DG, RC, FP and EG have a patent pending on T cell assay based on RD1 selected peptides.

Authors' contributions

DG designed the study and recruited the adult patients and performed data analysis and wrote the draft of the manuscript, MPP carried out the data base of collected data and helped in the data and statistical analysis, OB and FB and RC carried out the immunological assays, DD and GA helped in the recruitment of adults and children respectively and in the design of the study, CN helped in writing the draft and did the editing and performed data analysis, GI and FP helped in writing the draft of the paper and in the design of the study, EG conceived of the study and participated in its design and performed the statistical analysis and helped to draft the manuscript. The article has not been submitted elsewhere and all co-authors have read and approved the final manuscript with its conclusions.

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Goletti, D., Parracino, M.P., Butera, O. et al. Isoniazid prophylaxis differently modulates T-cell responses to RD1-epitopes in contacts recently exposed to Mycobacterium tuberculosis: a pilot study. Respir Res 8, 5 (2007). https://doi.org/10.1186/1465-9921-8-5

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  • DOI: https://doi.org/10.1186/1465-9921-8-5

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