Skip to main content
Download PDF

Characteristics of peripheral Vγ2Vδ2 T cells in interferon-γ release assay negative pulmonary tuberculosis patients

BMC Infectious Diseases volume 18, Article number: 453 (2018) Cite this article

Abstract

Background

It is not fully explained why some active tuberculosis patients show negative interferon-γ release assays (IGRAs). In this study, we tried to explore associations of IGRAs with the characteristics of peripheral Vγ2Vδ2 T cells and their functions of producing cytokines.

Methods

32 pulmonary tuberculosis patients were enrolled and divided into two groups according to their IGRAs results: 16 with IGRA-negative as test group and 16 with IGRA-positive as control group. Chest X-rays and T-SPOT.TB tests were performed and the severity of the lung lesions was scored. The amount of Vγ2Vδ2T cell and their expression levels of the apoptosis-related membrane surface molecule Fas and FasL in peripheral blood were analyzed by flow cytometry, and the function of secreting cytokines (IFN-γ, TNF-α and IL-17A) of Vγ2Vδ2 T cell were determined by intracellular cytokine staining.

Results

The IGRA-negative TB patients had more lesion severity scores and displayed reduced peripheral blood Vγ2Vδ2 T cell counts (p = 0.009) as well as higher Fas and FasL expression in peripheral blood Vγ2Vδ2 T cells (p = 0.043, 0.026). A high lesion severity score was correlated with a decreased Vδ2+ T cell number and increased Vγ2Vδ2 T cells Fas/FasL expression leve in the peripheral blood (p = 0.00, P < 0.01). The function of secreting cytokines was slightly impaired in IGRA-negative TB patients (p = 0.402). There is no significant differences in expression levels of Fas and FasL in CD4+ T cells (p = 0.224, 0.287) or CD8+ T cells (p = 0.184, 0.067) between test and control groups.

Conclusion

Compared with IGRA-positive TB patients, the IGRA-negative TB patients had more lesion severity scores, the number of Vγ2Vδ2 T cells decreased and the function of secreting cytokines impaired. In addition, we suggest that increased expression of Fas/FasL triggers Vγ2Vδ2 T cell apoptosis.

Peer Review reports

Background

Because of the lack of effective diagnostic methods, particularly in cases of extrapulmonary TB (EPTB), tuberculosis (TB) has the highest mortality rate among all infectious diseases [1, 2]. Interferon-γ release assays (IGRAs) based on the level of IFN-γ secreted by T cells in response to M. tuberculosis (MTB) specific antigens including early secreted antigenic target (ESAT-6) and culture filtrate protein (CFP-10) has higher specificity and sensitivity than the conventional tuberculin skin test (TST) [3, 4]. These specific antigens are present in the genome of MTB and absent in the Bacillus Calmette-Guérin (BCG) vaccination or most of non-tuberculous Mycobacteria (NTM) species [5, 6]. Although studies have observed that IGRA has a high sensitivity varies from 64 to 92% in active TB (ATB) [7, 8] and a number of studies have evaluated factors lowering sensitivity of IGRAs for tuberculosis [9,10,11,12,13], the real cause of ATB with negative IGRAs is far from fully understood.

Some studies using intracellular staining for cytokines suggest that MTB-activated CD4+ and γδ T-cell secreted large amounts of IFN-γ. γδ T cells have been shown to be more potent producers of IFN-γ than CD4+ T cells [14, 15]. γδ T cells, which account for 1–5% of all peripheral blood T cells [16,17,18] constitute a specific subtype of T cells expressing γδ T cell receptors (TCR) and are referred to as “non- classical” T cells [19]. In particular, Vγ9Vδ2 (also named Vγ2Vδ2) T cells, 60–95% of total circulating γδ T cells, only present in humans and nonhuman primates and remain the sole γδ T-cell subset capable of recognizing phosphor-antigens of MTB [20,21,22]. The phosphor-antigens of MTB could induce the expansion and expression of functional cytokines of Vγ2Vδ2 T cells [23,24,25,26]. Some active pulmonary tuberculosis patients exhibit an decreased ability of Vγ2Vδ2+ T cells to generate IFN-γ in response to phosphor-antigens [27, 28]. Other researches showed that apoptosis is the main reason for the decrease of Vγ2Vδ2 T cells in the peripheral blood of tuberculosis patients [29, 30]. Fas and FasL are apoptosis membrane surface molecules and the Fas/FasL pathway has been shown to be in relation to apoptosis of γδT cells [31]. In our previous study, we have found that anergic pulmonary tuberculosis is accompanied by reduced Vγ2Vδ2 T cell percentage, and elevated Vγ2Vδ2 cell FasL expression [32].

In the present study, we sought to further explore associations of IGRAs with the amount of Vγ2Vδ2 T cells and their functions of producing cytokines, and try to identify factors affecting immunological damage and protection, thereby providing the basis for immunological therapies of tuberculosis.

Methods

Patients

The subjects included in this study were hospitalized pulmonary tuberculosis patients in Shanghai Pulmonary Hospital from January 2016 to January 2017. Each patient underwent Chest X-rays and T-SPOT.TB tests. There were a total of 32 cases in this study, including 21 men and 11 women, with a body mass index > 18.5 kg/m2 The mean age was 43 ± 14 years (range 19–68). The inclusion criteria in this study were the confirmed M. tuberculosis infection using the MGIT BACTEC 960 culture method prior to the treatment. History of tuberculosis, history of taking any immunosuppressive agents including glucocorticoid, serious liver, immune, or kidney diseases, diabetes or tumors, and HIV-positive status were the exclusion criteria. The included pulmonary tuberculosis subjects were divided into two groups based on the results of T-SPOT.TB tests and tuberculin skin tests (TST). The test group consisted of 16 patients with negative T-SPOT.TB tests and TST results, including 10 men and 6 women, with a mean age of 44 ± 17 years. The control group consisted of 16 pulmonary tuberculosis patients with positive T-SPOT.TB tests and TST results. This group included 11 men and 5 women, with a mean age of 43 ± 20 years. The ethics committees of Shanghai Pulmonary Hospital approved the study. Individual participants in the study gave written informed consent before enrollment. The trial was performed in accordance with the Good Clinical Practice guidelines.

X-ray criteria for the lesion severity scores

Each lung was classified into three zones (upper, middle and lower) and Chest X-rays were divided into six lung fields. The severity of the lung lesions was graded based on the following elements: i) Range of the lung lesions; and ii) number/size of the cavities (outlined in Table 1). The sum of the scores from the six lung fields (every lung field = i + ii) was the final grade of lesion severity. Scores of ≤2.5 were classified as mild, scores between 2.5 and 6 were defined as moderate, and scores ≥6 was classified as severe. Two radiologists and a physician, all of who were highly experienced evaluated all images.

Table 1 Criteria for lesion severity
Full size table

Blood sampling

Prior to the beginning of chemotherapy treatment, 15 mL of anticoagulated peripheral blood sample was collected from each subject.

T-SPOT.TB assay

Peripheral blood samples were collected immediately prior to the tests in order to avoid possible interferences. Ficoll-Hypaque gradient centrifugation was used to separate peripheral blood mononuclear cells (PBMCs) at 400×g for 30 min at 20 ̊C. PBMCs were seeded on precoated IFN-γ ELISpot plates and incubated with media containing peptide antigens derived from ESAT-6 (labeled panel A) or CFP-10 (labeled panel B), media without an antigen (as a negative control) in a 5% CO2 atmosphere at 37 ̊C for 20 h. Phytohemagglutinin was used as a positive control. The number of spot-forming cells was counted. If panels A or B exhibited six or more spots as compared with the negative control, the T-SPOT.TB assay were considered to be positive. The patients who received blood trans- fusions or underwent positron emission tomography-computed tomography scans within 1 week of the test were recommended to undergo a second test two weeks later.

TST

According to the Mantoux method, 5 tuberculin units of purified protein derivative (PPD) were injected intradermally into the volar aspects of the left forearm. After 72 h, the skin induration was examined. If the induration diameter was≥5 mm, or in the case of blister development, the TST was considered to be positive, while if the diameter was< 5 mm, the TST was considered to be negative.

Flow cytometry

FITC-TCR Vδ2+ antibodies (BD Bioscience) were used to analyze 100 μl samples of anticoagulated blood from the 32 patients. After 10 μl of Phycoerythrin (PE)- FasL, PE-CY7- Fas, CD3-PB antibodies (BD Bioscience) was added, the whole blood samples were then incubated at room temperature for 30 min in the dark. After 1 ml red blood cell lysis buffer was added, cells were incubated at room temperature in the dark for an additional 15–20 min. After vortexing, the supernatant was discarded and the suspensions were centrifuged at 1400 rpm for 5 min. After using PBS (Protocol Formalin, Kalamazoo, MI) to wash again, the remaining cells were then resuspended in 400 μl PBS. Lymphocyte populations were gated based on the forward and side-scatters on a CyAn ADP flow cytometer (Dako Cytomation, Carpinteria, CA). Gated events were analyzed using Summit Data Acquisition and Analysis Software (Dako Cytomation)(Additional files 1, 2, 3 and 4).

Intracellular cytokine staining

PBMC were incubated with medium in presence of CD28 (1 μg/ml) and CD49d (1 μg/ml) mAbs in a 200 μl final volume at 37 °C, 5% CO2 for one hour, followed by five-hour incubation in the presence of brefeldin A (GolgiPlug, BD). After a total of six hours incubation, cells were for surface and intracellular staining. In surface staining, cells were incubated with CD3-PBCD4-BV510, CD8-AF700, Vδ2-FITC solutions for 30 min at 4 °C without Ag stimulation in vitro. And then, cells were washed, fixed, permeabilized with FACS perm buffer (PBS supplemented with 0.5% Bovine Serum Albumin-BSA, 0.5% of saponin and 0.1% sodium azide) and incubated in solutions with anti-IFN-γ-BV711, anti-TNF-α-PE-CY7 and anti-IL-17A-PE (BD Biosciences - San Jose, CA, USA) for 30 min at 4 °C. The preparations, then maintained in 200 μL of FACS fix solution until acquisition in a Becton Dickinson FACS calibur instrument (Additional file 5). Isotype IgG was used as negative controls for staining cytokines or surface markers.

Statistical analyses

The data is presented as mean (x) ± standard deviations (SD). The statistical software SPSS19.0 was applied for analysis. Mean comparisons between groups were performed by using by using Mann-Whitney U test or ANOVA. The distribution analysis was performed by using Pearson’s X2 test. p values < 0.05 were considered statistically significant.

Results

Demographic profiles of subjects

To explore the relation between IGRAs and Vγ2Vδ2 T cells, we have enrolled two groups of pulmonary tuberculosis patients with IGRAs positive and negative, respectively. The total number of men was 1.9 times that of the women. There were no statistical differences between the two groups of patients regarding age, sex ratio, and body mass index. Therefore, the two groups have demographical comparability (Tables 2 and 3).

Table 2 Demographic and clinical characteristics of enrolled subjects in this study
Full size table
Table 3 Study results of the two groups
Full size table

Lesion severity scores between the two groups

Based on the lesion severity scores determined by chest x-rays, we found that 62.5% of the IGRA-negative TB patients had “severe” lesions; 25.0% had “moderate” lesions and 12.5% “mild” lesions. The percentage of the IGRA-positive TB patients who had “severe” lesions was 25.0%. The percentage with a severity score of “moderate” was 25.0% and the percentage of “mild” 50.0%, which was higher than the percentages of patients with either “moderate” or “severe” scores. The comparison of lesion severity scores between the two groups showed statistically significant differences (p = 0.045). In summary, the IGRA-negative TB patients had more lesion severity scores.

Correlation between lesion severity scores and Vδ2+ T cell numbers in the peripheral blood

All tuberculosis patients were divided into three subgroups: mild, moderate and severe. Ten patients had “mild” lesions, and in these patients, the average Vδ2+ T cell numbers in the peripheral blood was 13.22 (12.08, 13.87) × 107/L. The numbers of patients who had “severe” lesions was 14 and the corresponding Vδ2+ T cell numbers in the peripheral blood was 0.81 (0.65, 1.13) × 107/L. The average Vδ2+ T cell numbers in the moderate category, which included 8 patients, was 3.94 (3.09, 5.87) × 107/L. The comparison of mean percentage value among the three groups showed statistical differences (p = 0.00) (Fig. 1). The more severe the lesions, the lower the Vδ2+ T cells in the peripheral blood count. In a word, a high lesion severity score was associated with a low Vδ2+ T cell count in the peripheral blood.

Fig. 1
figure 1

Numbers of Vγ2Vδ2 T cells in peripheral blood of the different lesion groups. In the “mild”, “severe” and “moderate” lesions group, the average Vδ2+ T cell numbers in the peripheral blood was 13.22 (12.08, 13.87) × 107/L, 0.81 (0.65, 1.13) × 107/L and 3.94 (3.09, 5.87) × 107/L

Full size image

Numbers of Vγ2Vδ2 T cells decreased in peripheral blood of IGRA-negative TB patients

We have compared the number of Vδ2+ T cells among these two groups and found that the average number of Vγ2Vδ2T in peripheral blood of IGRA-negative TB patients and IGRA-positive TB patients was 2.40 (1.28, 3.67) × 107/L and 8.54 (4.78, 12.62) × 107/L, respectively. The peripheral blood Vδ2+ T cell in IGRA-negative TB patients was significantly lower than in IGRA-positive TB patients (p = 0.009) (Fig. 2).

Fig. 2
figure 2

Numbers of Vγ2Vδ2 T cells in peripheral blood of the two groups. The average number of Vγ2Vδ2T in peripheral blood of IGRA- and IGRA+TB patients was 2.40 × 107/L and 8.54 × 107/L

Full size image

Vγ2Vδ2 T cells highly expressed Fas/FasL in peripheral blood of IGRA-negative TB patients

To identify the characteristics Vδ2+ T cells in IGRA-negative patients, we compared the expression of Fas and FasL, which are related with cell apoptosis, in Vδ2+ T cells between two groups. Flow cytometry analyses indicted that Fas expression levels of Vδ2+ T cell in peripheral blood of IGRA-negative TB patients and IGRA-positive TB patients were 3.39% (0.99%, 5.30%) and 0.91% (0.34%, 2.23%), respectively. Vδ2+ T cell FasL expression levels in peripheral blood of IGRA-negative TB patients and IGRA-positive TB patients were 0.65% (0.55%, 2.70%) and 0.55% (0.21%, 1.36%), respectively. The difference of Vδ2+ T cell Fas/ FasL expression levels in peripheral blood between the two groups showed highly statistically significant (p = 0.026 and 0.043) (Fig. 3). It implies that the decreased Vδ2+ T cell number in IGRA-negative patients might be related with Fas/FasL-mediated induced cell death.

Fig. 3
figure 3

The expression of Fas/FasL in Vδ2+ T cells of the two groups. Vδ2+ T cell Fas expression levels in peripheral blood of IGRA- and IGRA+TB patients were 3.39% and 0.91%. Vδ2+ T cell FasL expression levels in peripheral blood of IGRA- and IGRA+e TB patients were 0.65% and 0.55%

Full size image

Correlation between lesion severity scores and Vγ2Vδ2 T cells Fas/FasL expression levels in peripheral blood

Vδ2+ T cell FasL expression levels in peripheral blood of TB patients with “mild” lesions, “moderate” lesions and “severe” lesions were 0.012% (0.009%, 0.032%), 0.044% (0.019%, 0.083%) and 1.15% (0.84%, 1.32%), respectively. Comparison of mean percentage value among the three groups showed statistically significant differences (P < 0.01). Fas expression levels of Vδ2+ T cell in peripheral blood of TB patients with “mild” lesions, “moderate” lesions and “severe” lesions were 0.632% (0.5109%, 0.952%), 1.184% (0.924%, 1.803%) and 5.183% (4.862%, 6.322%), respectively. Comparison of mean percentage value among the three groups showed statistically significant differences (P < 0.01). In a word, a high lesion severity score was associated with an increased Vγ2Vδ2 T cells Fas/FasL expression levels in peripheral blood. It implies that disease severity might be correlated with levels of apoptosis of Vγ2Vδ2 T cells in the peripheral blood.

Comparison of CD8 + T cells Fas/FasL expression levels in peripheral blood of IGRA-negative and IGRA-positive TB patients

To explore whether the characters of αβ T cells are also different between these two groups, we have tested the expression of Fas/FasL in αβ T cells of TB patients. We found that CD8+ T cell Fas expression levels in peripheral blood of IGRA-negative TB patients and IGRA-positive TB patients were 13.90% (9.89%, 26.80%) and 12.80% (6.15%, 16.6%), respectively. CD8+ T cell FasL expression levels in peripheral blood of IGRA-negative TB patients and IGRA-positive TB patients were 0.65% (0.55%, 2.70%) and 0.55% (0.21%, 1.36%), respectively. However, no statistically significant difference in peripheral blood CD8+ T cell Fas/FasL expression levels was identified between the two groups (p = 0.184 and 0.067) (Fig. 4).

Fig. 4
figure 4

The expression of Fas/FasL in CD8+ T cells of the two groups. CD8+ T cell Fas expression levels in peripheral blood of IGRA- and IGRA+TB patients were 13.90% and 12.80%. CD8+ T cell FasL expression levels in peripheral blood of IGRA- and IGRA+ TB patients were 0.65% and 0.55%

Full size image

Comparison of CD4 + T cells Fas/FasL expression levels in peripheral blood of IGRA-negative and IGRA-positive TB patients

CD4+ T cell Fas expression levels in peripheral blood of IGRA-negative TB patients and IGRA-positive TB patients were 35.0% (30.9%, 45.9%) and 32.8% (17.8%, 52.7%), respectively. CD4+ T cell FasL expression levels in peripheral blood of IGRA-negative TB patients and IGRA-positive TB patients were 0.73% (0.55%, 2.13%) and 0.63% (0.22%, 1.12%), respectively. However, no statistically significant difference in peripheral blood CD4+ T cell Fas/FasL expression levels was identified between the two groups (p = 0.224 and 0.287) (Fig. 5).

Fig. 5
figure 5

The expression of Fas/FasL in CD4+ T cells of the two groups. CD4+ T cell Fas expression levels in peripheral blood of IGRA- and IGRA+ TB patients were 35.0% and 32.8%. CD4+ T cell FasL expression levels in peripheral blood of IGRA- and IGRA+ TB patients were 0.73% and 0.63%

Full size image

Lower proportion of cytokine producing Vγ2Vδ2 T cells were found in IGRA-negative TB patients

To test whether there is difference in ability of Vδ2+ T cells producing functional cytokines in IGRA-negative patients, we compared the expression of IFN-γ, TNF-α and IL-17 in Vδ2+ T cells between two groups. The proportion of IFN-γ producing Vγ2Vδ2T cells within CD3+ T-cells was 0.18% (0.16%, 1.34%) in peripheral blood of IGRA-negative TB patients, which was highly lower than 1.45% (0.33%, 10.2%) in IGRA-positive TB patients. However, no statistically significant difference was observed (p = 0.110). The proportion of IL-17A producing Vγ2Vδ2T cells within CD3+ T-cells was 0.39% (0.15%, 1.39%) in peripheral blood of IGRA-negative TB patients, while it was 1.64% (0.22%, 10.11%) in IGRA-positive TB patients. The difference between the two groups showed no statistically significant (p = 0.224). The proportion of TNF-α producing Vγ2Vδ2T cells within CD3+ T-cells was 0.03% (0.01%, 0.15%) and 0.15% (0.01%, 0.32%) in peripheral blood of IGRA-negative TB patients and IGRA-positive TB patients, respectively. There was no statistically significant difference (p = 0.402) (Fig. 6).

Fig. 6
figure 6

Proportion of cytokine producing Vγ2Vδ2 T cells of the two groups. The proportion of IFN-γ producing Vγ2Vδ2T cells within CD3+ T-cells was 0.18% in peripheral blood of IGRA- TB patients, which was highly lower than 1.45% in IGRA+ TB patients. The proportion of TNF-α producing Vγ2Vδ2T cells within CD3+ T-cells was 0.39% in peripheral blood of IGRA- TB patients, while it was 1.64% in IGRA+ TB patients. The proportion of IL-17A producing Vγ2Vδ2T cells within CD3+ T-cells was 0.03% and 0.15% in peripheral blood of IGRA- and IGRA+ TB patients

Full size image

Discussion

Vγ2Vδ2T cells were reported to play an important role in host immunity resistant to M. tuberculosis [33]. It was showed that Vγ2Vδ2T cells kill intracellular bacilli through killing of macrophages harboring live MTB; moreover, these cells can not only reduces the activity of extracellular MTB, but also can reduces the activity of intracellular MTB. These findings have suggested that Vγ2Vδ2T cells directly play a role in host protective reaction against MTB infection [34]. Previous study showed that Vγ9Vδ2 T cells from children with active TB have a decreased IFN-γ production [35]. Another research showed that the quantity of Vγ9Vδ2 T cells in the peripheral blood of TST-negative tuberculosis patients is dramatic declined [29]. In our previous study, we found that the Vγ9Vδ2 T cells percentage in the peripheral blood of tuberculosis patients with TST negative was significantly lower than in patients with TST positive [32]. Will the amount of Vγ9Vδ2 T cells and cytokine secretion ability decrease in IGRA-negative TB patients? To address this possibility, we conducted the present study. In the present study, we found that the amount of Vγ9Vδ2 T cells in the peripheral blood of IGRA-negative TB patients was significantly lower than in IGRA -positive TB patients. In addition, the percentage of Fas/FasL-expressing Vγ9Vδ2 T cells in the peripheral blood of IGRA-negative TB patients was significantly higher than in IGRA -positive TB patients, suggesting that the decrease in the number of Vγ9Vδ2 T cell may be related to the increase in Fas/FasL-mediated induced cell apoptosis. Li et al. also found that Fas/FasL upregulation was induced and subsequently Vγ9Vδ2 T cell apoptosis increased via co-culturing of M. tuberculosis antigens and γδ T cells in vitro. It is worth mentioning that we also analyzed CD8 + T and CD4 + T cells Fas/FasL expression levels in peripheral blood of IGRA-negative and IGRA-positive TB patients in this study. However, there were no significant differences between IGRA-negative and IGRA-positive TB patients.

It is known that the activation of Vγ9Vδ2 T cells induces the secretion of a variety of cytokines, thereby regulating immune responses. Vγ9Vδ2 T cells can increase host immunity against infection by secreting IFN-γ. Besides IFN-γ, TNF-α is also a key molecule in host immunity to tuberculosis [36, 37]. TNF-α strengthens immune cell migration and orientation in the presence of M. tuberculosis and effects the presentation of adhesion molecules [38]. IL-17A has been found to be a significant cytokine in the immune reaction against mycobacterial infection [39]. Investigations have showed that the IL-17A-producing γδ T cells were main source of IL-17A [40]. Our results revealed that the proportion of cytokine (including IFN-γ, TNF-α and IL-17A) producing Vγ2Vδ2T cells within CD3+ T-cells in peripheral blood of IGRA-negative TB patients was lower than in IGRA-positive TB patients.

Study by Szereday et al. reported that tuberculosis patients with negative TST results often have severe atypical clinical manifestations [41]. In previous study, we found that very few Vδ2+ T cells not only in the peripheral blood but also in BALF of PPD-negative tuberculosis patients [32]. In present study, we observed that a high lesion severity score was correlated with a decreased Vδ2+ T cell number and increased Vγ2Vδ2 T cells Fas/FasL expression leve in the peripheral blood, a phenomenon that was consistent with a previous study by Pinheiro et al., who found that the reduction of peripheral γδ T cell is closely associated with higher lesion severity in tuberculosis patients [42].

Conclusions

In summary, our research suggests that compared with IGRA-positive TB patients, the IGRA-negative TB patients had more lesion severity scores, the number of Vγ9Vδ2 T cells decreased and the function of secreting cytokines slightly impaired. In addition, we suggest that high expression of Fas/FasL triggers Vγ9Vδ2 T cell apoptosis.

Abbreviations

ATB:

active pulmonary tuberculosis

BCG:

Bacillus Calmette-Guérin

CFP-10:

culture filtrate protein

CT:

computed tomography

EPTB:

extrapulmonary

ESAT-6:

early secreted antigenic target

IGRAs:

interferon-γ release assays

MTB:

Mycobacterium tuberculosis

NTM:

non- tuberculos mycobacteria

PBMCs:

Peripheral blood mononuclear cells

SD:

standard deviation

TB:

Tuberculosis

TCR:

T cell receptors

TST:

tuberculin skin test

References

  1. 1.

    Moyle PM, Toth I. Modern subunit vaccines: development, components and research opportunities. Chem Med Chem. 2013;8:360–76. PMID:23316023

    Article  PubMed  CAS  Google Scholar 

  2. 2.

    Brodie D, Schluger NW. The diagnosis of tuberculosis. Clin Chest Med. 2005;26:247–71.

    Article  PubMed  Google Scholar 

  3. 3.

    Auguste P, Tsertsvadze A, Pink J, Court R, McCarthy N, Sutcliffe P, et al: Comparing interferon-gamma release assays with tuberculin skin test for identifying latent tuberculosis infection that progresses to active tuberculosis: systematic review and meta-analysis. BMC Infect Dis. 2017 Mar 9;17(1):200. PMID:28274215; PMCID:PMC5343308.

  4. 4.

    Gudjónsdóttir MJ, Kötz K, Nielsen RS, Wilmar P, Olausson S, Wallmyr D, et al: Relation between BCG vaccine scar and an interferon-gamma release assay in immigrant children with "positive" tuberculin skin test (≥10 mm). BMC Infect Dis. 2016 Oct 6;16(1):540. PMID:27716176; PMCID:PMC5052808.

  5. 5.

    Ewer K, Deeks J, Alvarez L, Bryant G, Waller S, Andersen P, et al. Comparison of T-cell-based assay with tuberculin skin test for diagnosis of Mycobacterium tuberculosis infection in a school tuberculosis outbreak. Lancet. 2003;361:1168–73. PMID:12686038

    Article  PubMed  Google Scholar 

  6. 6.

    Andersen P, Munk ME, Pollock JM, Doherty TM. Specific immune-based diagnosis of tuberculosis. Lancet. 2000;356:1099–104. PMID:11009160

    Article  PubMed  CAS  Google Scholar 

  7. 7.

    Yan L, Xiao H, Han M, Zhang Q: Diagnostic value of T-SPOT.TB interferon-γ release assays for active tuberculosis. Exp Ther Med 10: 345–351, 2015. PMID:26170960; PMCID: PMC4486813.

  8. 8.

    Feng Y, Diao N, Shao L, Wu J, Zhang S, Jin J, et al: Interferon-gamma release assay performance in pulmonary and extrapulmonary tuberculosis. PLoS One 7: e32652, 2012. PMID:22427859; PMCID:PMC3302779.

  9. 9.

    Kwang-Sook Woo, Byoung-Gwon Kim, Jae-Lim Choi, Kim BR, Kim KH, Neutrophil-to-Lymphocyte Ratio Is Associated with Impaired Interferon-Gamma Release to Phytohemagglutinin. PLoS One. 2015; 10(5): e0125794. PMID:25961292; PMCID:PMC4427286.

  10. 10.

    Lei Bao, Tao Li, Ni Diao, Shen Y, Shao L, Zhang Y, et al: Fluctuating Behavior and Influential Factors in the Performance of the QuantiFERON-TB Gold In-Tube Assay in the Diagnosis of Tuberculosis. PLoS One. 2015; 10(8): e0103763. PMID: 26287382; PMCID: PMC4545827.

  11. 11.

    Marc Tebruegge, Hans de Graaf, Priya Sukhtankar, Elkington P, Marshall B, Schuster H, et al: Extremes of Age Are Associated with Indeterminate QuantiFERON-TB Gold Assay Results. J Clin Microbiol. 2014 Jul; 52(7): 2694–2697. PMID:24829238; PMCID:PMC4097686.

  12. 12.

    Martine G Aabye, Thomas Stig Hermansen, Morten Ruhwald, Praygod G, Faurholt-Jepson G, Jeremiah K et al: Negative effect of smoking on the performance of the QuantiFERON TB gold in tube test. BMC Infect Dis. 2012; 12: 379. PMID:23270417; PMCID:PMC3546031.

  13. 13.

    Yoon Jee Lee, Jaehee Lee, Yi Young Kim, Won DI, Cha SI, Park JY, et al: Performance of whole-blood interferon-gamma release assay in patients admitted to the emergency department with pulmonary infiltrates. BMC Infect Dis. 2011; 11: 107. PMID:21513568; PMCID:PMC3107174.

  14. 14.

    Casetti R, Martino A. The plasticity of gamma delta T cells: innate immunity, antigen presentation and new immunotherapy. Cellular &amp; Molecular Immunology. 2008;5(3):161–170. PMID:18582397;PMCID:PMC4651290.

  15. 15.

    Gioia C, Agrati C, Goletti D, Vinsenti D, Carrara S, Amicosante M, et al. Different cytokine production and effector/memory dynamics of αβ+ or γδ+ T-cell subsets in the peripheral blood of patients with active pulmonary tuberculosis. Int J Immunopathol Pharmacol. 2003;16(3):247–52. PMID:14611728

    Article  PubMed  CAS  Google Scholar 

  16. 16.

    Kunzmann V, Kimmel B, Herrmann T, Einsele H, Wilhelm M (2009) Inhibition of phosphoantigen-mediated gammadelta T-cell proliferation by CD4+ CD25+ FoxP3+ regulatory T cells. Immunology 126: 256–267. PMID:18775028; PMCID: PMC 2632687.

  17. 17.

    Beetz S, Wesch D, Marischen L, Welte S, Oberg HH, Kabelitz D. Innate immune functions of human gammadelta T cells. Immunobiology. 2008;213:173–82. PMID:18406365

    Article  PubMed  CAS  Google Scholar 

  18. 18.

    Haas W, Tonegawa S. Development and selection of γδ T cells. Curr Opin Immunol. 1992;4(2):147–55. PMID:17291276

    Article  PubMed  CAS  Google Scholar 

  19. 19.

    Girardi M. Immunosurveillance and immunoregulation by gammadelta T cells. J Invest Dermatol. 2006;126:25–31. PMID:16417214

    Article  PubMed  CAS  Google Scholar 

  20. 20.

    Morita CT, Mariuzza RA, Brenner MB. Antigen recognition by human gamma delta T cells: pattern recognition by the adaptive immune system. Springer Semin Immunopathol. 2000;22:191–217. PMID:11116953

    Article  PubMed  CAS  Google Scholar 

  21. 21.

    Eberl M, Hintz M, Reichenberg A, Kollas AK, Wiesner J, Jomaa H, et al. Microbial isoprenoid biosynthesis and human gammadelta T cell activation. FEBS Lett. 2003;544:4–10. PMID:12782281

    Article  PubMed  CAS  Google Scholar 

  22. 22.

    Spencer CT, Abate G, Blazevic A, Hoft DF. Only a subset of phosphoantigen-responsive γδ T cell mediated protective tuberculosis immunity. J Immunol. 2008;181:4471–84.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. 23.

    Morita CT, Lee HK, Wang H, Li H, Mariuzza RA, Tanaka Y. Structural features of nonpeptide prenyl pyrophosphates that determine their antigenicity for human γδ T cells. J Immunol. 2001;167(1):36–41.

    Article  PubMed  CAS  Google Scholar 

  24. 24.

    Meraviglia S, El Daker S, Dieli F, Martini F, Martino A (2011) gammadelta T cells cross-link innate and adaptive immunity in Mycobacterium tuberculosis infection. Clin Dev Immunol: 2011: 587315. PMID:21253470;PMCID:PMC3022180.

  25. 25.

    Ali Z, Shao L, Halliday L, Reichenberg A, Hintz M, Jomaa H. Prolonged (E)-4-hydroxy-3-methyl-but-2-enyl pyrophosphate-driven antimicrobial and cytotoxic responses of pulmonary and systemic Vgamma2Vdelta2 T cells in macaques. J Immunol. 2007;179:8287–8296. PMID:18056373;PMCID:PMC2865221.

  26. 26.

    Chen Y, Shao L, Ali Z, Cai J, Chen ZW. NSOM/QD-based nanoscale immunofluorescence imaging of antigen-specific T-cell receptor responses during an in vivo clonal V{gamma}2V{delta}2 T-cell expansion. Blood. 2008;111:4220–32.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  27. 27.

    Gioia C, Agrati C, Casetti R, Cairo C, Borsellino G, Battistini L, et al. Lack of CD27-CD45RA-V gamma 9V delta 2+ T cell effectors in immuno-compromised hosts and during active pulmonary tuberculosis. J Immunol. 2002;168(3):1484. PMID:11801693

    Article  PubMed  CAS  Google Scholar 

  28. 28.

    Delgado JC, Tsai EY, Thim S, Baena A, Boussiotis VA, Reynes JM, et al. Antigen-specific and persistent tuberculin anergy in a cohort of pulmonary tuberculosis patients from rural Cambodia. Proc Natl Acad Sci U S A. 2002;99(11):7576. PMID:12032325;PMCID:PMC124289.

  29. 29.

    Szereday L, Baliko Z, Szekeres-Bartho J. The role of Vdelta2+T- cells in patients with active Mycobacterium tuberculosis infection and tuberculin anergy. Int J Tuberc Lung Dis. 2008;12:262–8. PMID:18284830

    PubMed  CAS  Google Scholar 

  30. 30.

    Manfredi AA, Heltai S, Rovere P, Sciorati C, Paolucci C, Vaiani R, et al. Mycobacterium tuberculosis exploits the CD95/CD95 ligand system of γδ T cells to cause apoptosis. Eur J Immunol. 1998;28(6):1798–806. PMID:9645360

    Article  PubMed  CAS  Google Scholar 

  31. 31.

    Li B, Bassiri H, Rossman MD, Kramer P, Eyuboglu AF, Torres M, et al. Involvement of the Fas/Fas ligand pathway in activation-induced cell death of mycobacteria-reactive human gamma delta T cells: a mechanism for the loss of gamma delta T cells in patients with pulmonary tuberculosis. J Immunol. 1998;161:1558–67. PMID:9686624

    PubMed  CAS  Google Scholar 

  32. 32.

    Liping Yan, Haiyan Cui, Heping Xiao, Qing Zhang. Anergic Pulmonary Tuberculosis Is Associated with Contraction of the Vd2+T Cell Population, Apoptosis and Enhanced Inhibitory Cytokine Production. PLOS ONE. 2013, 8(8): e71245. PMID:23936496;PMCID:PMC3732239.

  33. 33.

    Li B, Rossman MD, Imir T, Oner-Eyuboglu AF, Lee CW, Biancaniello R, et al. Disease-specific changes in gammadelta T cell repertoire and function in patients with pulmonary tuberculosis. J Immunol157. 1996:4222–9. PMID:8892660

  34. 34.

    Dieli F, Troye-Blomberg M, Ivanyi J. Granulysin-dependent killing of intracellular and extracellular Mycobacterium tuberculosis by V-γ9/Vδ2 T lymphocytes. J Infect Dis. 2001;184(8):1082–5.

    Article  PubMed  CAS  Google Scholar 

  35. 35.

    Dieli F, Sireci G, Caccamo N, Di Sano C, Titone L, Romano A, et al. Selective depression of interferon-γ and granulysin production with increase of proliferative response by Vγ9/Vδ2 T cells in children with tuberculosis. J Infect Dis. 2002;186(12):1835–9. PMID:12447771

    Article  PubMed  CAS  Google Scholar 

  36. 36.

    Botha T, Ryffel B. Reactivation of latent tuberculosis infection in TNF-deficient mice. J Immunol. 2003;171:3110–8. PMID:12960337

    Article  PubMed  CAS  Google Scholar 

  37. 37.

    Casetti R, Martino A (2008) The plasticity of gamma delta T cells: innate immunity, antigen presentation and new immunotherapy. Cell Mol Immunol 5: 161–170. PMID:18582397;PMCID:PMC4651290.

  38. 38.

    Price NM, Gilman RH, Uddin J, Recavarren S, Friedland JS. Unopposed matrix metalloproteinase-9 expression in human tuberculosis granuloma and the role of TNF alpha dependent monocyte networks. J Immunol. 2003;171:5579–86. PMID: 14607966

    Article  PubMed  CAS  Google Scholar 

  39. 39.

    van de Veerdonk FL, Teirlinck AC, Kleinnijenhuis J, Kullberg BJ, van Crevel R, van de Meer JW, et al. Mycobacterium tuberculosis induces IL-17A responses through TLR4 and dectin-1 and is critically dependent on endogenous IL-1. J Leukoc Biol. 2010;88(2):227–32. PMID:20299682

    Article  PubMed  CAS  Google Scholar 

  40. 40.

    Lockhart E, Green AM, Flynn JL. IL-17 production is dominated by γδ T cells rather than CD4 T cells during Mycobacterium tuberculosis infection. J Immunol. 2006;177(7):4662–9. PMID:16982905

    Article  PubMed  CAS  Google Scholar 

  41. 41.

    Szereday L, Baliko Z, Szekeres-Bartho J. The role of Vdelta2+Tcells in patients with active Mycobacterium tuberculosis infection and tuberculin anergy. Int J Tuberc Lung Dis. 2008;12:262–8. PubMed: 18284830

    PubMed  CAS  Google Scholar 

  42. 42.

    Pinheiro MB, Antonelli LR, Sathler-Avelar R, Vitelli-Avelar DM, Spindola-de-Miranda S, et al. CD4-CD8-alphabeta and gammadelta T cells display inflammatory and regulatory potentials during human tuberculosis. PLoS One. 2012;7:e50923. https://doi.org/10.1371/journal.pone.0050923. PubMed: 23239994.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

Download references

Funding

This study was funded by the National Key Project for Infectious Disease (No. 2013ZX10003009).

Availability of data and materials

All data generated or analyzed during this study are included in this published article and its Additional files 1, 2, 3 and 4. The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Author information

Affiliations

  1. Department of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Road, Shanghai, 200433, China

    Liping Yan, Hongbo Shen & Heping Xiao

Authors
  1. Liping Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hongbo Shen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Heping Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

LY, HS and HX were responsible for the conception and design of the study. LY, HS and HX were responsible for acquisition of data. LY performed the data analysis and drafted the manuscript. All authors participated in interpretation of the findings. HS and HX revised and commented the draft, and all authors read and approved the final version of the manuscript. All authors confirm that the content has not been published elsewhere and does not overlap with or duplicate their published work.

Corresponding authors

Correspondence to Hongbo Shen or Heping Xiao.

Ethics declarations

Ethics approval and consent to participate

The Ethics Committee of Shanghai Pulmonary Hospital and the Ethics Committee of Tongji University reviewed and approved this prospective study and written informed consent was obtained from each participant before enrollment.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional files

Additional file 1:

Figure S1. Numbers of Vγ2Vδ2 T cells in peripheral blood of the two groups. (JPG 57 kb)

Additional file 2:

Figure S2. The expression of Fas/FasL in Vδ2+ T cells of the two groups. (JPG 38 kb)

Additional file 3:

Figure S3. The expression of Fas/FasL in CD8+ T cells of the two groups. (JPG 45 kb)

Additional file 4:

Figure S4. The expression of Fas/FasL in CD4+ T cells of the two groups. (JPG 45 kb)

Additional file 5:

Figure S5. Proportion of cytokine producing Vγ2Vδ2 T cells of the two groups. (JPG 46 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Yan, L., Shen, H. & Xiao, H. Characteristics of peripheral Vγ2Vδ2 T cells in interferon-γ release assay negative pulmonary tuberculosis patients. BMC Infect Dis 18, 453 (2018). https://doi.org/10.1186/s12879-018-3328-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12879-018-3328-x

Keywords

  • Pulmonary tuberculosis
  • Vγ2Vδ2 T cells
  • Interferon-γ release assays, T-SPOT.TB

BMC Infectious Diseases

ISSN: 1471-2334

Contact us