Skip to main content
Elsevier Sponsored Documents logoLink to Elsevier Sponsored Documents
. 2021 Jun;2(6):e267–e275. doi: 10.1016/S2666-5247(21)00043-4

Detection of Mycobacterium tuberculosis complex DNA in CD34-positive peripheral blood mononuclear cells of asymptomatic tuberculosis contacts: an observational study

Mulugeta Belay a,b,c, Begna Tulu d,e, Sidra Younis a,f, David A Jolliffe a, Dawit Tayachew b, Hana Manwandu b, Tenagnework Abozen b, Emawayish A Tirfie b, Metasebia Tegegn b, Aboma Zewude d, Sally Forrest g, Jonathan Mayito h, Jim F Huggett i,j, Gerwyn M Jones i, Denise M O'Sullivan i, Henny M Martineau k,*, Mahdad Noursadeghi l, Aneesh Chandran l, Kathryn A Harris m, Vlad Nikolayevskyy n, Julie Demaret o, Stefan Berg p, Martin Vordermeier p, Taye T Balcha q, Abraham Aseffa b, Gobena Ameni d,r, Markos Abebe b, Stephen T Reece g,s,*, Adrian R Martineau a,*
PMCID: PMC8172384  PMID: 34100007

Summary

Background

Haematopoietic stem cells expressing the CD34 surface marker have been posited as a niche for Mycobacterium tuberculosis complex bacilli during latent tuberculosis infection. Our aim was to determine whether M tuberculosis complex DNA is detectable in CD34-positive peripheral blood mononuclear cells (PBMCs) isolated from asymptomatic adults living in a setting with a high tuberculosis burden.

Methods

We did a cross-sectional study in Ethiopia between Nov 22, 2017, and Jan 10, 2019. Digital PCR (dPCR) was used to determine whether M tuberculosis complex DNA was detectable in PBMCs isolated from 100 mL blood taken from asymptomatic adults with HIV infection or a history of recent household or occupational exposure to an index case of human or bovine tuberculosis. Participants were recruited from HIV clinics, tuberculosis clinics, and cattle farms in and around Addis Ababa. A nested prospective study was done in a subset of HIV-infected individuals to evaluate whether administration of isoniazid preventive therapy was effective in clearing M tuberculosis complex DNA from PBMCs. Follow-up was done between July 20, 2018, and Feb 13, 2019. QuantiFERON-TB Gold assays were also done on all baseline and follow-up samples.

Findings

Valid dPCR data (ie, droplet counts >10 000 per well) were available for paired CD34-positive and CD34-negative PBMC fractions from 197 (70%) of 284 participants who contributed data to cross-sectional analyses. M tuberculosis complex DNA was detected in PBMCs of 156 of 197 participants with valid dPCR data (79%, 95% CI 74–85). It was more commonly present in CD34-positive than in CD34-negative fractions (154 [73%] of 197 vs 46 [23%] of 197; p<0·0001). Prevalence of dPCR-detected M tuberculosis complex DNA did not differ between QuantiFERON-negative and QuantiFERON-positive participants (77 [78%] of 99 vs 79 [81%] of 98; p=0·73), but it was higher in HIV-infected than in HIV-uninfected participants (67 [89%] of 75 vs 89 [73%] of 122, p=0·0065). By contrast, the proportion of QuantiFERON-positive participants was lower in HIV-infected than in HIV-uninfected participants (25 [33%] of 75 vs 73 [60%] of 122; p<0·0001). Administration of isoniazid preventive therapy reduced the prevalence of dPCR-detected M tuberculosis complex DNA from 41 (95%) of 43 HIV-infected individuals at baseline to 23 (53%) of 43 after treatment (p<0·0001), but it did not affect the prevalence of QuantiFERON positivity (17 [40%] of 43 at baseline vs 13 [30%] of 43 after treatment; p=0·13).

Interpretation

We report a novel molecular microbiological biomarker of latent tuberculosis infection with properties that are distinct from those of a commercial interferon-γ release assay. Our findings implicate the bone marrow as a niche for M tuberculosis in latently infected individuals. Detection of M tuberculosis complex DNA in PBMCs has potential applications in the diagnosis of latent tuberculosis infection, in monitoring response to preventive therapy, and as an outcome measure in clinical trials of interventions to prevent or treat latent tuberculosis infection.

Funding

UK Medical Research Council.

Introduction

The Mycobacterium tuberculosis complex is a genetically homogeneous group of organisms whose members include M tuberculosis and Mycobacterium bovis. They cause active tuberculosis in humans, cattle, and other animals, which imposes a major toll on health and economic growth that is borne disproportionately by low-income countries.1 Tuberculosis commonly arises following reactivation of latent infection. The global prevalence of latent tuberculosis infection is not known, because there is no gold standard microbiological test to detect it. Diagnosis of latent tuberculosis infection is predicated on the detection of cell-mediated immune responses to M tuberculosis complex, which can be elicited in vivo (by intradermal injection of M tuberculosis complex antigens in tuberculin skin tests) or ex vivo (by stimulation of peripheral blood leucocytes with M tuberculosis complex-specific antigens in interferon-γ [IFN-γ] release assays [IGRAs]). On the basis of the results of these tests, global prevalence of latent tuberculosis infection has been estimated at 23%,2 with prevalence in high burden settings, such as Ethiopia, being nearly three times higher.3

Research in context.

Evidence before this study

We searched PubMed for research articles published in English from database inception to Nov 21, 2017, using the terms “latent tuberculosis”, “haematopoietic stem cell”, “CD34”, “PCR”, and “human”. We found one report of Mycobacterium tuberculosis DNA being detected in CD34-positive peripheral blood mononuclear cells (PBMCs) of 15 HIV-uninfected adults with latent tuberculosis living in Austria. We did not find reports of this observation being investigated in a high tuberculosis burden setting, or in HIV-infected people.

Added value of this study

We report that M tuberculosis complex-derived genomic DNA can be readily detected in PBMCs of asymptomatic adults living in Ethiopia, by applying a highly sensitive digital PCR (dPCR) assay to material isolated from a large (100 mL) blood draw. Where present, M tuberculosis complex DNA was found more frequently in CD34-positive versus CD34-negative PBMCs, implicating haematopoietic stem cells as a niche for M tuberculosis during latent tuberculosis infection. Prevalence of dPCR-detected M tuberculosis complex DNA did not differ between interferon-γ release assays (IGRA)-negative and IGRA-positive participants, but it was higher in HIV-infected than in HIV-uninfected participants. By contrast, prevalence of IGRA-positivity was lower in HIV-infected than in HIV-uninfected participants. In a nested prospective study, isoniazid preventive therapy rendered M tuberculosis complex DNA undetectable in 44% of individuals in whom it was detected at baseline; no statistically significant change in the proportion of IGRA-positive individuals was seen following administration of isoniazid preventive therapy.

Implications of all the available evidence

We report a novel molecular microbiological biomarker of latent tuberculosis infection with properties that are distinct from those of an IGRA. Detection of M tuberculosis complex DNA in PBMCs has potential applications in the diagnosis of latent tuberculosis infection, in monitoring response to preventive therapy and as an outcome measure in clinical trials of interventions to prevent or treat latent tuberculosis infection. Longitudinal studies to evaluate the prognostic significance of dPCR-detected M tuberculosis complex DNA in PBMCs of asymptomatic adults are needed.

Effective antimicrobial treatments for latent tuberculosis infection (preventive therapy) are available, and their widespread roll-out will be needed if WHO's goal of tuberculosis elimination by 2050 is to be achieved.4 However, limitations of existing IGRAs represent a barrier to effective targeting of preventive therapy: their sensitivities and specificities are imperfect, they cannot determine whether an individual is infected with a drug-sensitive or a drug-resistant isolate, and they do not revert to negative after treatment.5, 6 Development of a microbiological test for latent tuberculosis infection with greater sensitivity and specificity, which could be used to detect drug resistance and evaluate response to treatment would allow preventive therapy to be better targeted and more effective. It would also be a valuable research tool with potential to provide insights into tuberculosis pathogenesis and to be used as an outcome measure for trials of interventions seeking to prevent or treat latent tuberculosis infection.

Historically, microbiological evidence of latent tuberculosis infection could only be detected using cadaveric tissue.7 However, studies have reported that haematopoietic stem cells, which bear the CD34 glycoprotein as a surface marker, might represent a niche for M tuberculosis complex during latent tuberculosis infection.8, 9 Therefore, M tuberculosis complex could be detected in peripheral blood, because hematopoietic stem cells transition between the bone marrow and the circulation.10 In keeping with this hypothesis, two small clinical studies have reported detection of M tuberculosis complex DNA in the peripheral blood of 11 IGRA-positive but asymptomatic HIV-uninfected adults living in northern Europe using PCR.8, 11 To date, this finding has not been evaluated in settings with a high tuberculosis burden or characterised at scale. We therefore aimed to determine whether M tuberculosis complex DNA could be detected in CD34-positive and CD34-negative peripheral blood mononuclear cells (PBMCs) isolated from a heterogeneous group of asymptomatic adults in whom active tuberculosis had been excluded.

Methods

Study design and participants

Asymptomatic study participants were recruited to a cross-sectional study at health centres and hospitals in Addis Ababa and from commercial cattle farms in its vicinity. Household tuberculosis contacts were identified by contact tracing of index cases of smear-positive pulmonary tuberculosis presenting to one of 21 outpatient clinics in Addis Ababa. Participants with exposure to cattle with bovine tuberculosis were identified at 16 farms in and around Addis Ababa. HIV-infected participants were recruited at a single outpatient clinic at the ALERT hospital, Addis Ababa. Adults screened at health centres and hospitals were eligible to take part if they had been in regular household contact with an index case of smear-positive pulmonary tuberculosis over the previous month or if they were known to have HIV infection (irrespective of contact history). Individuals identified at cattle farms were eligible to take part if they had been exposed to a cow exhibiting a strong reaction to a comparative intradermal tuberculin test (performed as previously described)12 and found to have culture-positive bovine tuberculosis at autopsy. Exclusion criteria were age less than 18 years, symptoms of active tuberculosis, current prescription of anti-tuberculosis medication, and inability to travel to a participating x-ray facility for exclusion of active tuberculosis. Women of childbearing potential had a urine pregnancy test (Medi-Test; BHR Pharmaceuticals; Nuneaton, UK) and were excluded if it was positive. All potential participants were screened for anaemia using a point-of-care test (HemoCue Hemoglobin 301 Analyser; HemoCue; Ängelholm, Sweden) on a finger prick blood sample; those with a haemoglobin concentration of less than 10 g/dL were excluded. A chest radiograph was also done, and participants with any radiographic abnormality consistent with active tuberculosis were excluded and referred to the National Tuberculosis Treatment Program for further clinical assessment and treatment if necessary.

In addition to this cross-sectional study, we did a nested prospective study in HIV-infected participants who did not have any contraindication to isoniazid preventive therapy. This group was offered a 6-month course of 300 mg isoniazid (Cadila Pharmaceuticals; Ahmedabad, India) and 50 mg pyridoxine (Just Vitamins; Coventry, UK) daily and invited to return to give a second 104 mL blood sample for the same laboratory tests following treatment completion.

The study was approved by the Ethiopian National Research Ethics Review Committee, Addis Ababa, Ethiopia (310/253/2017) and by the Queen Mary Ethics of Research Committee, London, UK (QMERC 2017/07). Written informed consent was obtained from all participants.

Procedures

Participants completed a questionnaire detailing age, sex, past medical history, medication use, previous exposure to tuberculosis, BCG vaccination status, and smoking history. A blood sample was drawn into sodium heparin tubes (BD; Franklin Lakes, NJ, USA; 100 mL) and QuantiFERON-TB-Gold Plus blood collection tubes (Qiagen; Hilden, Germany; 4 × 1 mL) for laboratory tests.

Full details of laboratory methods are provided in the appendix (pp 2–7). To minimise risk of cross-contamination, all laboratory work was done in biosafety level 2 laboratories that had never been used for work with M tuberculosis complex organisms. QuantiFERON-TB Gold Plus assays (Qiagen) were done according to the manufacturer's instructions. PBMCs were isolated from 100 mL blood over HistoPaque-1077 (Sigma-Aldrich; St Louis, MO, USA). CD34-positive and CD34-negative PBMCs were separated using CD34 MicroBead Ultra-Pure Kits and MS columns (both from Miltenyi Biotec; Bergisch Gladbach, Germany) according to the manufacturer's instructions. Effective enrichment or depletion of CD34-positive PBMCs from positively or negatively selected cell fractions was confirmed by flow cytometry in one donor (appendix p 14).

To investigate whether cross-contamination might have occurred during PBMC processing in the biosafety level 2 laboratory in Addis Ababa, five healthy personnel from the study team travelled to Ethiopia and gave blood samples for isolation of PBMCs and separation of CD34-positive and CD34-negative fractions in this laboratory. The same five donors returned to the UK to give a second blood sample 1–2 months later, for isolation of PBMCs and separation of CD34-positive and CD34-negative fractions in the biosafety level 2 laboratory in London.

DNA was extracted from CD34-positive and CD34-negative cell pellets using a cetyltrimethylammonium bromide and chloroform-isoamyl alcohol protocol,13 and concentrations of DNA in cell extracts were determined using the NanoDrop 8000 spectrophotometer (ThermoFisher Scientific; Waltham, MA, USA). Effectiveness of this protocol for extraction of DNA from intracellular M tuberculosis was confirmed (appendix p 15). To ensure equal sensitivity for detection of M tuberculosis DNA in CD34-negative and CD34-positive fractions, the extract from the CD34-negative cell pellet from each participant was diluted so that its DNA concentration matched that of the corresponding extract from the CD34-positive cell pellet. Thus, M tuberculosis DNA copy number was compared for equivalent amounts of human DNA, which will have approximated to equivalent numbers of host cells (because M tuberculosis DNA will have made up a negligible proportion of total DNA). Digital PCRs (dPCRs) were prepared using 10 μL of extract, and analysed using the QX200 AutoDG Droplet Digital PCR System (Bio-Rad Laboratories; Hercules, CA, USA) to detect DNA of two M tuberculosis complex-specific DNA sequences: the multi-copy insertion sequence (IS) 6110 and the single-copy gene rpoB.14 dPCR offers a better signal-to-noise ratio than quantitative PCR (qPCR) when target DNA is at a low concentration relative to non-target DNA.15 dPCR data from wells with droplet counts of less than 10 000 were disregarded, as per the manufacturer's instructions. dPCR data are presented as copy number per 20 μL. Oligonucleotide information, thermal cycling conditions, and a Digital MIQE (Minimum Information for Publication of Quantitative Digital PCR Experiments) checklist16 are provided in the appendix (appendix pp 8–12). Results of a dilution series experiment to detect 2–2000 copies of genomic M tuberculosis DNA using dPCR assays for IS6110 and rpoB are presented in the appendix (appendix p 16).

We did several control experiments and analyses to investigate non-specific amplification and cross-contamination with M tuberculosis DNA or amplicons as causes of false-positive results as described in the appendix (p 6).

Statistical analysis

Sample size was based on the power required to estimate prevalence of M tuberculosis complex DNA carriage for participants recruited at tuberculosis clinics, cattle farms, and HIV clinics. Estimating prevalence at 60%,3 we calculated that 93 participants in each group would need to be studied to estimate prevalence at the 95% confidence level with a desired precision of 0·10. Sample size for the nested prospective study in participants receiving isoniazid preventive therapy was based on the number of participants needed to show a reduction in the mean number of M tuberculosis complex DNA element copies detectable in CD34-positive cells isolated from 100 mL of blood before and after isoniazid treatment. Assuming that the mean number of copies of M tuberculosis complex at baseline would be 4·3 in dPCR-positive participants, with standard deviation 2·5,8 we calculate that a total of 43 dPCR-positive participants would need to be followed to detect a 25% reduction in mean copy number per 20 μL well (from 4·3 to 3·2) with 80% power at the 5% significance level.

Statistical analyses were done using Stata/IC version 12.1. Outcomes were the proportion of individuals in whom M tuberculosis complex DNA was detectable (categorical variable), and the number of copies of IS6110 and rpoB per 20 μl well (continuous variable). Estimates of prevalence of detectable M tuberculosis complex DNA are presented with 95% CIs. The limits of detection for IS6110 and rpoB were calculated using the formula:17

Limit of detection=limit of blank+1ċ645×SDlow concentration sample

where:

Limit of blank=meanblank+1ċ645×SDblank

This calculation yielded values of 4·38 copies per 20 μL well for IS6110 and 3·80 copies per 20 μL well for rpoB; values below these thresholds were assigned a zero value in statistical analyses. Individuals for whom valid dPCR data were unavailable for paired CD34-positive and CD34-negative PBMCs were excluded from statistical analyses. dPCRs were considered positive if DNA of IS6110 or rpoB was detectable. Categorical QuantiFERON status was assigned on the basis of IFN-γ concentrations in supernatants in antigen-stimulated tubes and positive and negative controls using QuantiFERON-TB Gold Plus Analysis Software (Qiagen). IFN-γ concentrations in supernatants of antigen-stimulated whole blood were also analysed as continuous variables when testing for correlations with IS6110 and rpoB copy numbers. Fisher's exact tests and McNemar's tests were used to analyse contingency tables for unpaired and paired categorical data, respectively. Mann-Whitney U tests and Wilcoxon matched-pairs signed rank tests were used for unpaired and paired comparisons of continuous variables, respectively. Paired analyses were done to compare data relating to the same individual (eg, comparison of M tuberculosis complex DNA copy numbers in different cell fractions from the same individual or comparison of M tuberculosis complex DNA copy numbers in the same individual sampled at baseline and follow-up). Unpaired analyses were done to compare data from different individuals (eg, comparison of M tuberculosis complex DNA copy numbers in QuantiFERON-negative and QuantiFERON-positive individuals). Spearman's rank correlation coefficient was used to evaluate correlation between copy numbers per 20 μL well for IS6110 compared with rpoB. Statistical significance was inferred where p values were less than 0·05.

Role of the funding source

The funder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.

Results

284 participants were enrolled between Nov 22, 2017, and Jan 10, 2019. Follow-up visits occurred between July 20, 2018, and Feb 13, 2019. Valid dPCR data (ie, droplet counts >10 000 per well) were available for paired CD34-positive and CD34-negative PBMCs from 197 (69%) of them. Characteristics of these 197 participants, who contributed data to cross-sectional analyses, are presented in the table. All 75 HIV-infected participants were offered isoniazid preventive therapy, of whom 56 had valid dPCR data at baseline, took isoniazid preventive therapy, and attended 6-month follow-up. Valid dPCR data from 6 months after isoniazid preventive therapy were available for 43 (77%) of 56.

Table.

Participant characteristics

Study participants (N=197)
Age, years 34 (24–40)
Sex
Female 95 (48%)
Male 102 (52%)
Study group
Recent household exposure to human index case with smear-positive pulmonary tuberculosis, Addis Ababa 69 (35%)*
Recent occupational exposure to bovine index case with culture-positive bovine tuberculosis, recruited in cattle farms 56 (28%)
Attending outpatient HIV clinic, Addis Ababa 72 (37%)
BCG scar 78 (40%)
Current smoker 8 (4%)
HIV infection 75 (38%)§
QuantiFERON-positive 98 (50%)

Data are median (IQR) or n (%).

*

Three (4%) of 69 had HIV infections.

0 (0%) of 56 had HIV infections, and 10 (18%) had recent household tuberculosis contact.

72 (100%) of 72 had HIV infections, five (7%) had recent household tuberculosis contact, and 14 (19%) had previously had active tuberculosis.

§

Viral load was undetectable in 59 (92%) of 64 HIV-infected individuals for whom data were available.

25 (26%) of 98 had HIV infections, and 40 (41%) had a BCG scar.

DNA for IS6110 or rpoB was detected in CD34-positive or CD34-negative PBMC fractions from 156 of 197 participants (79·2%; 95% CI 73·5–84·9; figure 1A). Proportions of participants in whom IS6110 and rpoB were detected in CD34-positive or CD34-negative PBMC fractions are presented separately in the appendix (p 13). Representative amplification plots are also shown (appendix pp 17–19). M tuberculosis complex DNA was detected more commonly in CD34-positive than in CD34-negative fractions (154 [73%] of 197 vs 46 [23%] of 197; p<0·0001; figure 1B). When data for IS6110 and rpoB were analysed separately, IS6110 was detected more frequently than rpoB in both CD34-negative PBMCs (44 [22%] of 197 vs 23 [12%] of 197; p<0·0001) and CD34-positive PBMCs (147 [75%] of 197 vs 87 [44%] of 197; p<0·0001). The copy number per 20 μL well for IS6110 and rpoB was larger in CD34-positive than in CD34-negative fractions, and IS6110 copy number per 20 μL well was larger than rpoB copy number per 20 μL well in both CD34-negative and CD34-positive PBMCs (p<0·0001 for all comparisons; figure 1C). Copy numbers per 20 μL well for IS6110 and rpoB were positively correlated in both CD34-negative and CD34-positive fractions (p<0·0001 for both correlations; figure 1D, E). The proportion of participants in whom M tuberculosis complex DNA was detectable did not differ between those with and without a BCG scar (62 [79%] of 78 vs 94 [79%] of 119; p>0·99).

Figure 1.

Figure 1

Detection of Mycobacterium tuberculosis complex DNA in PBMCs of asymptomatic adults

Detection of rpoB by detection of IS6110 (A), and detection of M tuberculosis complex DNA in CD34-positive versus CD34-negative PBMCs (B); p values were calculated with Fisher's exact test. (C) IS6110 and rpoB copy numbers per 20 μL well detected in CD34-negative versus CD34-positive PBMCs; p values were calculated with Wilcoxon matched-pairs signed rank tests. Lines show median values and proportions with undetectable M tuberculosis complex DNA are displayed below the scatter plots for each condition. IS6110 versus rpoB copy number per 20 μL well for (D) CD34-negative PBMCs and (E) CD34-positive PBMCs; correlation coefficients and p values were calculated with Spearman's tests. Proportions of participants occupying each quadrant are also displayed. LOD=limit of detection. PBMC=peripheral blood mononuclear cell.

In control experiments investigating cross-contamination with M tuberculosis DNA, amplicons, or non-specific amplification as causes of false-positive results, ten clinical samples that were positive for both rpoB and IS6110 with our dPCR assay were also positive for ESAT6 as detected using qPCR in an independent laboratory (cycle threshold ≤32; appendix p 20). Moreover, cycle threshold for ESAT6 correlated negatively with rpoB copy number from dPCR (p=0·0022; appendix p 20). dPCR analysis of triplicate swabs of benches and microbiological safety cabinets in the Ethiopian laboratory where blood samples were processed revealed that IS6110 and rpoB were undetectable in nine (100%) of nine swabs analysed. Additionally, analysis of paired blood samples from five healthy donors that were processed in Addis Ababa and London revealed that IS6110 and rpoB were undetectable in all PBMC samples isolated in Ethiopia, and in all but one PBMC sample isolated in the UK (one of three triplicates for one donor was positive at 5·9 copies per 20 μL well). Plots of IS6110 and rpoB copy numbers showed that PCR-positive samples were distributed evenly over the course of the study (appendix p 20). Both IS6110 and rpoB were undetectable in 32 of 32 replicates of a reference human DNA sample. dPCR assays for IS6110 and rpoB using DNA from non-tuberculous mycobacteria (Mycobacterium abscessus and Mycobacterium szulgai) and some common skin commensals (Staphylococcus epidermidis, Staphylococcus aureus, and Streptococcus pyogenes) were negative in all instances. dPCR assays for targets in S pyogenes (csrR), S aureus (coA), and S epidermidis (femA_SE) were negative for 20 of 20 extracts tested. DNA for IS6110 and rpoB was undetectable in 10 of 10 PBMC samples that had been spiked with UltraPure MicroBeads (Miltenyi Biotech; Cologne, Germany).

Next, we investigated whether detection of M tuberculosis complex DNA in PBMC was associated with QuantiFERON status. The proportion of participants in whom M tuberculosis complex DNA was detectable did not differ between QuantiFERON-negative and QuantiFERON-positive individuals in the study population as a whole (77 [78%] of 99 vs 79 [81%] of 98; p=0·73; figure 2A), or when the analysis was stratified by HIV status (figure 2B, C). Moreover, copy numbers of IS6110 and rpoB per 20 μL well did not differ by QuantiFERON status in either CD34-negative or CD34-positive PBMCs (p≥0·29; figure 2D, E). No correlation was seen between antigen-stimulated supernatant concentrations of IFN-γ and IS6110 or rpoB copy numbers per 20 μL well (appendix p 21).

Figure 2.

Figure 2

Detection of Mycobacterium tuberculosis complex DNA in PBMCs of asymptomatic adults by QuantiFERON status

Detection of M tuberculosis complex DNA by QuantiFERON status in all participants (A), HIV-uninfected participants (B), and HIV-infected participants (C). (D) IS6110 copy number per 20 μL well in CD34-negative and CD34-positive PBMCs. (E) rpoB copy number per 20 μL well in CD34-negative and CD34-positive PBMCs. p values for contingency tables were calculated with Fisher's exact tests. p values for comparison of continuous variables were calculated with Mann-Whitney tests. In panels D and E, proportions with undetectable M tuberculosis complex DNA are displayed below the scatter plots for each condition, and lines show median values. LOD=limit of detection. PBMC=peripheral blood mononuclear cell.

We then proceeded to test for an association between presence of M tuberculosis complex DNA and infection with HIV. IS6110 or rpoB was detected in PBMCs from 67 (89%) of 75 HIV-infected participants and in 89 (73%) of 122 HIV-uninfected participants (p=0·0065; figure 3A). By contrast, QuantiFERON-positivity was less common in HIV-infected than in HIV-uninfected participants (25 [33%] of 75 vs 73 [60%] of 122; p<0·0001; figure 3B). When the cross-tabulation of PCR status by QuantiFERON status was stratified according to HIV status, we observed that 45 (58%) of 77 QuantiFERON-negative, PCR-positive individuals had HIV infections, as compared with three (16%) of 19 QuantiFERON-positive, PCR-negative individuals (p<0·0001; figure 2A, C). IS6110 copy number per 20 μL well was higher in both CD34-positive and CD34-negative PBMCs isolated from HIV-infected participants than in cells isolated from HIV-uninfected participants (p≤0·027; figure 3C). Statistically significant differences in rpoB copy number per 20 μL well in HIV-infected compared with HIV-uninfected individuals were not seen (p≥0·064; figure 3D). Among HIV-infected participants, no differences in copy numbers of IS6110 or rpoB per 20 μL well were seen according to HIV viral load or previous history of active tuberculosis (appendix pp 22–23).

Figure 3.

Figure 3

Detection of Mycobacterium tuberculosis complex DNA in PBMCs of asymptomatic adults by HIV status

Detection of M tuberculosis complex DNA by HIV status (A), and QuantiFERON status by HIV status (B); p values were calculated with Fisher's exact test. IS6110 (C) and rpoB (D) copy numbers per 20 μL well in CD34-negative and CD34-positive PBMCs; p values were calculated with Mann-Whitney tests. In panels C and D, lines show median values and proportions with undetectable M tuberculosis complex DNA are displayed below the scatter plots for each condition. LOD=limit of detection. PBMC=peripheral blood mononuclear cell.

Analysis of data from our nested prospective study showed that isoniazid preventive therapy reduced the proportion of HIV-infected individuals in whom M tuberculosis complex DNA was detectable from 41 (95%) of 43 at baseline to 23 (53%) of 43 after treatment (p<0·0001; figure 4A). By contrast, the proportion of participants who were QuantiFERON-positive did not significantly differ (17 [40%] of 43 at baseline vs 13 [30%] of 43 after treatment; p=0·13; figure 4B). Isoniazid preventive therapy reduced IS6110 copy number per 20 μL well in both CD34-negative and CD34-positive PBMCs (p≤0·015; figure 4C), but statistically significant differences in rpoB copy number per 20 μL well before and after isoniazid preventive therapy were not seen (p≥0·11; figure 4D).

Figure 4.

Figure 4

Detection of Mycobacterium tuberculosis complex DNA in HIV-infected adults before and after isoniazid preventive therapy

Detection of M tuberculosis complex DNA (A) and QuantiFERON status (B) after therapy versus before therapy; p value were calculated with McNemar's test. IS6110 (C) and rpoB (D) copy numbers per 20 μL well in CD34-negative and CD34-positive PBMCs; p values were calculated with Wilcoxon matched-pairs signed rank tests. In panels C and D, lines join datapoints for individual participants, and proportions with undetectable M tuberculosis complex DNA are displayed below the scatter plots for each condition. LOD=limit of detection.

Discussion

We report findings of the first study to test for the presence of M tuberculosis complex DNA in PBMCs of asymptomatic adults living in a setting with high incidence of tuberculosis. M tuberculosis complex DNA was found in PBMCs of more than three-quarters of participants; detection was more common in CD34-positive than in CD34-negative PBMCs, but it was not restricted to them. Presence of M tuberculosis complex DNA in PBMCs was not associated with QuantiFERON status. However, it was more frequent in the presence of HIV infection, and this frequency was nearly halved following administration of isoniazid preventive therapy. By contrast, prevalence of QuantiFERON-positivity was lower in HIV-infected than in HIV-uninfected participants, and it did not change following administration of isoniazid preventive therapy.

Our results are consistent with those of two early reports8, 11 indicating that M tuberculosis complex DNA can be detected in the blood of asymptomatic adults. We extend the findings of these smaller European studies to show that the presence of M tuberculosis complex DNA in blood is widespread in a large and heterogeneous cohort of adults living in a setting with high incidence of tuberculosis in Ethiopia. Like Tornack and colleagues,8 we found that M tuberculosis complex DNA was detected in CD34-positive PBMCs; however, we also detected M tuberculosis complex DNA in CD34-negative PBMCs, albeit at a lower frequency and in lower numbers. Of note, we detected M tuberculosis complex DNA at considerably higher titre than was reported by Tornack and colleagues in many individuals.8 This difference might relate in part to differences in study populations; our study included younger adults living in a tuberculosis-endemic setting with recent exposure or HIV infection in our study, whereas Tornack and colleagues8 included older adults living in a low-incidence setting with unknown exposure history. Differences in DNA extraction protocols and in PCR method (dPCR vs qPCR) might also explain variation in results of the two studies.

A key difference between our findings and those of Tornack and colleagues8 is that we found no association between PCR-positivity and IGRA-positivity. Discordance between results of the QuantiFERON test and our duplex dPCR assay allows discrimination of distinct phenotypes within the latent tuberculosis infection spectrum. It has previously been hypothesised that some individuals might harbour M tuberculosis complex infection in the absence of a detectable memory T cell response, whereas others might eliminate M tuberculosis complex infection after exposure but retain a memory T cell response.18 A priori, one would expect immunocompromised individuals to be over-represented in the former group, and under-represented in the latter. Our observation that HIV infection was more common in QuantiFERON-negative and PCR-positive individuals than in QuantiFERON-positive and PCR-negative individuals is consistent with this expectation and further reinforces the biological plausibility of our findings.

Our study has several strengths. The large blood draw coupled with use of dPCR in duplex format to detect two M tuberculosis complex DNA elements—one of them multicopy—confer a high degree of sensitivity. We did rigorous control experiments to exclude cross-contamination or artifact as causes of our positive findings. Use of a prospective study design to show changes in M tuberculosis complex copy number following administration of isoniazid preventive therapy provides strong evidence to support our conclusions.

Our study also has some limitations. The absence of extended follow-up for incident active tuberculosis is perhaps the greatest of them and it precludes any comment regarding the prognostic significance of dPCR-positivity in this population. Verma and colleagues reported that two-thirds of initially asymptomatic individuals in whom M tuberculosis complex DNA was detected went on to develop active tuberculosis within 7 months of testing.11 Given the high prevalence of dPCR-positivity in this study, it seems unlikely that all will progress to active tuberculosis in the short term; taken together with the fact that all participants were asymptomatic, and that none had evidence of active tuberculosis on chest radiography, it would appear that we have detected true latent tuberculosis infection rather than early, presymptomatic, active disease in at least a proportion of those studied here. Future studies could incorporate CT scanning of dPCR-positive individuals to detect radiological evidence of early active tuberculosis with greater sensitivity than a plain chest radiograph can offer. Our results do not allow us to differentiate different members of the M tuberculosis complex; whole-genome sequencing approaches are needed to determine whether individuals are infected with M tuberculosis or a different member of the M tuberculosis complex (such as M bovis), and to establish whether infection is with a singe strain or with multilple strains. Heat treatment of samples to kill viable M tuberculosis (which allowed us to process them in biosafety level 2 laboratories) precluded attempts at culture. In future work, culture of M tuberculosis from PCR-positive cell fractions or indirect detection of viable bacilli indirectly, using the phage method described by Verma and colleagues,11 should be attempted. The observation that prevalence of detectable M tuberculosis complex DNA was reduced with isoniazid treatment suggests that actively replicating bacteria were present in at least some individuals. These bacteria might reside in the bone marrow or in other cellular or anatomical locations.7 Our study was done at a single site, and our findings require validation in other cohorts. It also did not have a dPCR-positive control group that did not receive isoniazid preventive therapy, precluding determination of the spontaneous loss rate. We would also like to highlight that an assay requiring a 100 mL blood draw with PBMC isolation and cell separation before PCR would be challenging to implement at scale, especially in low-income countries. Further work is needed to determine whether the assay can be modified to use smaller volumes of blood or unsorted cells without a loss of sensitivity.

In conclusion, we report some characteristics of a novel molecular microbiological biomarker of latent tuberculosis infection with properties that are distinct from those of a commercial IGRA. Detection of M tuberculosis complex DNA in PBMCs has potential applications in the diagnosis of latent tuberculosis infection, in monitoring response to preventive therapy, and as an outcome measure in clinical trials of interventions to prevent or treat latent tuberculosis infection. Longitudinal studies to evaluate the prognostic significance of dPCR-detected M tuberculosis complex DNA in PBMCs are now needed, and these will form a major focus of our future work.

Data sharing

A de-identified copy of the study database will be made available from the corresponding author from the date of publication.

Declaration of interests

STR has a pending patent that is relevant to the work (WO2017207825A1). All other authors declare no competing interests. The views expressed are those of the authors and not necessarily those of the UK Medical Research Council or the UK Department of Health.

Acknowledgments

Acknowledgments

This work was supported by a grant from the UK Medical Research Council to ARM (MR/P024548/1). SF and STR acknowledge support from the Cambridge National Institiute of Medical Research Biomedical Research Centre antibiotic resistance theme. JM acknowledges support from the Developing Excellence in Leadership, Training and Science Africa Initiative (DEL-15-011, through THRiVE-2). JFH, GMJ, and DMO'S acknowledge support from the UK government Department for Business, Energy & Industrial Strategy. MN acknowledges support from the Wellcome Trust (207511/Z/17/Z) and from National Institute for Health Research Biomedical Research Funding to University College London and University College London Hospital. We thank all the people who participated in the study, members of the field and laboratory teams who enrolled participants and processed samples, Susan Barton (Miltenyi Biotec) for assistance with flow cytometry, Eloise Busby (National Measurement Laboratory, LGC) for design of the femA_SE dPCR assay, and Pawan Dhami and Heli Vaikkinen for assistance with dPCR assays done at the Genomics and Genome Engineering Facility, University College London, which was supported by Cancer Research UK.

Contributors

MB, STR, and ARM conceived the study. MB, HMM, SB, MV, TTB, AA, GA, MA, STR, and ARM contributed to study design. MB, SY, DAJ, JM, JFH, GMJ, DMO'S, MN, AC, KAH, VN, JD, STR, and ARM contributed to development of laboratory assays. MB, BT, DT, HM, TA, EAT, MT, AZ, AA, GA, and MA contributed to implementation of the study, enrolment and follow-up of patients. MB, BT, SY, DAJ, DT, HM, TA, EAT, MT, AZ, SF, JM, JD, GA, MA, STR, and ARM contributed to data acquisition. DAJ and ARM verified underlying data of the study. ARM did statistical analyses, wrote the first draft of the manuscript, and had final responsibility for the decision to submit for publication. All authors reviewed the final draft and agree with its content and conclusions. All authors had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Supplementary Material

Supplementary appendix
mmc1.pdf (1MB, pdf)

References

  • 1.Furin J, Cox H, Pai M. Tuberculosis. Lancet. 2019;393:1642–1656. doi: 10.1016/S0140-6736(19)30308-3. [DOI] [PubMed] [Google Scholar]
  • 2.Houben RM, Dodd PJ. The global burden of latent tuberculosis infection: a re-estimation using mathematical modelling. PLoS Med. 2016;13 doi: 10.1371/journal.pmed.1002152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Legesse M, Ameni G, Mamo G, Medhin G, Bjune G, Abebe F. Community-based cross-sectional survey of latent tuberculosis infection in Afar pastoralists, Ethiopia, using QuantiFERON-TB Gold In-Tube and tuberculin skin test. BMC Infect Dis. 2011;11:89. doi: 10.1186/1471-2334-11-89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Dye C, Williams BG. Eliminating human tuberculosis in the twenty-first century. J R Soc Interface. 2008;5:653–662. doi: 10.1098/rsif.2007.1138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Pai M, Denkinger CM, Kik SV. Gamma interferon release assays for detection of Mycobacterium tuberculosis infection. Clin Microbiol Rev. 2014;27:3–20. doi: 10.1128/CMR.00034-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Pollock NR, Kashino SS, Napolitano DR. Evaluation of the effect of treatment of latent tuberculosis infection on QuantiFERON-TB gold assay results. Infect Control Hosp Epidemiol. 2009;30:392–395. doi: 10.1086/596606. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Mayito J, Andia I, Belay M. Anatomic and cellular niches for Mycobacterium tuberculosis in latent tuberculosis infection. J Infect Dis. 2019;219:685–694. doi: 10.1093/infdis/jiy579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Tornack J, Reece ST, Bauer WM. Human and mouse hematopoietic stem cells are a depot for dormant Mycobacterium tuberculosis. PLoS One. 2017;12 doi: 10.1371/journal.pone.0169119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Reece ST, Vogelzang A, Tornack J. Mycobacterium tuberculosis-infected hematopoietic stem and progenitor cells unable to express inducible nitric oxide synthase propagate tuberculosis in mice. J Infect Dis. 2018;217:1667–1671. doi: 10.1093/infdis/jiy041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Bender JG, Unverzagt KL, Walker DE. Identification and comparison of CD34-positive cells and their subpopulations from normal peripheral blood and bone marrow using multicolor flow cytometry. Blood. 1991;77:2591–2596. [PubMed] [Google Scholar]
  • 11.Verma R, Swift BMC, Handley-Hartill W. A novel, high-sensitivity, bacteriophage-based assay identifies low-level Mycobacterium tuberculosis bacteraemia in immunocompetent patients with active and incipient tuberculosis. Clin Infect Dis. 2020;14:933–936. doi: 10.1093/cid/ciz548. [DOI] [PubMed] [Google Scholar]
  • 12.Ameni G, Hewinson G, Aseffa A, Young D, Vordermeier M. Appraisal of interpretation criteria for the comparative intradermal tuberculin test for diagnosis of tuberculosis in cattle in central Ethiopia. Clin Vaccine Immunol. 2008;15:1272–1276. doi: 10.1128/CVI.00114-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.van Soolingen D, de Haas PEW, Kremer K. Restriction fragment length polymorphism typing of mycobacteria. In: Parish T, Stoker NG, editors. Mycobacterium tuberculosis protocols. Humana Press; Totowa, NJ: 2001. [Google Scholar]
  • 14.Devonshire AS, Honeyborne I, Gutteridge A. Highly reproducible absolute quantification of Mycobacterium tuberculosis complex by digital PCR. Anal Chem. 2015;87:3706–3713. doi: 10.1021/ac5041617. [DOI] [PubMed] [Google Scholar]
  • 15.Huggett JF, Cowen S, Foy CA. Considerations for digital PCR as an accurate molecular diagnostic tool. Clin Chem. 2015;61:79–88. doi: 10.1373/clinchem.2014.221366. [DOI] [PubMed] [Google Scholar]
  • 16.Huggett JF, Foy CA, Benes V. The digital MIQE guidelines: minimum information for publication of quantitative digital PCR experiments. Clin Chem. 2013;59:892–902. doi: 10.1373/clinchem.2013.206375. [DOI] [PubMed] [Google Scholar]
  • 17.Armbruster DA, Pry T. Limit of blank, limit of detection and limit of quantitation. The Clin Biochem Rev. 2008;29(suppl 1):S49–S52. [PMC free article] [PubMed] [Google Scholar]
  • 18.Barry CE, 3rd, Boshoff HI, Dartois V. The spectrum of latent tuberculosis: rethinking the biology and intervention strategies. Nat Rev Microbiol. 2009;7:845–855. doi: 10.1038/nrmicro2236. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary appendix
mmc1.pdf (1MB, pdf)

Data Availability Statement

A de-identified copy of the study database will be made available from the corresponding author from the date of publication.

RESOURCES