An observational study in Tuberculosis and Latent Tuberculosis, sponsored by Queen Mary University of London. Enrolling by invitation at 1 site in Uganda. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-07-02.
Sponsored by Queen Mary University of London · Observational
Mycobacterium tuberculosis (Mtb) is a major human pathogen, responsible for an estimated 10.6 million cases of active tuberculosis (TB) and 1.6 million deaths in 2021. Most adult cases of active TB arise from progression of latent tuberculosis infection (LTBI), whose global prevalence is estimated at 23%. Preventive therapy (e.g. a 6-month course of the anti-TB drug isoniazid) is effective in reducing risk of progression from LTBI to active TB. Global roll-out of preventive therapy will be required to achieve the World Health Organization target of TB elimination by 2050, but this will only be cost-effective and implementable if targeted at the 10-20% of latently infected individuals who are at highest risk of disease progression.
There is currently no gold standard test for LTBI. Existing diagnostic - the tuberculin skin test (TST) and Interferon-γ Release Assays (IGRA) - diagnose Mtb infection by detecting memory T cell responses to Mtb antigens. Their value is limited by very low positive predictive value (PPV) for progression to active TB (1.5% for TST, 2.7% for IGRA), inability to detect antimicrobial resistance in latently infected individuals and lack of response to administration of preventive therapy. Development of a nucleic acid amplification test (NAAT) for LTBI could overcome these limitations by allowing targeting of preventive therapy at latently infected individuals with the highest risk of progression to active TB, with antimicrobial selection guided by genetic antimicrobial resistance profiling and capacity for test of cure on treatment completion.
For many years, development of such a test was not considered realistic due to the paucibacillary nature of LTBI and uncertainty regarding the cellular location of Mtb bacilli in LTBI. However, the investigators and others have recently reported that Mtb DNA can be detected in the peripheral blood of latently infected TB contacts in both high- and low-burden settings. In our studies, which utilized digital polymerase chain reaction (dPCR) to detect Mtb DNA in peripheral blood mononuclear cell (PBMC) subsets of TB contacts in Ethiopia, signal was detected more frequently in extracts of CD34+ PBMC (hematopoietic stem cells [HSC] and their progenitors) vs. CD34- PBMC, but it was not restricted to them. Administration of isoniazid preventive therapy (IPT) reduced the proportion of participants in whom Mtb DNA could be detected in PBMC, showing that this signal is dynamic and suggesting that presence of Mtb DNA may reflect presence of viable bacilli. The investigatorsalso sequenced Mtb DNA in PBMC extracts using targeted next-generation sequencing (tNGS) to reveal mutations that confer antimicrobial drug resistance.
These exciting results demonstrate the potential for development of a NAAT for detection and genomic drug-resistance testing of LTBI in peripheral blood. However, questions remain regarding whether detection of Mtb DNA in the blood of symptomatic individuals associates with the ability to visualize or culture bacilli in blood, which has been done in patients with active TB. Moreover, our existing method for detection of Mtb DNA in CD34+ PBMC using dPCR is not currently suitable for field use, as samples require lengthy laboratory processing. The GeneXpert platform, which can give results in less than 2 hours, has previously been used to detect Mtb DNA in whole blood of HIV-infected patients with active TB. Sensitivity of the Xpert® MTB/RIF Ultra assay (Xpert Ultra, which has a limit of detection [LOD] of 15.6 colony-forming units [CFU]/ml versus 112.6 CFU/ml for the original Xpert® MTB/RIF [assay) is sufficient to detect Mtb DNA in the range demonstrated in blood of latently infected TB contacts in Ethiopia and Uganda (20 to 1000 copies of rpoB in the majority of Mtb DNA-positive individuals). However, detection of Mtb in blood of latently infected individuals has not previously been attempted using this platform. Finally, the investigators wish to expand knowledge by comparing detection of Mtb DNA in recent vs. historical TB contacts, and by including patients with active TB as a positive control group.
The investigators therefore propose to conduct a study to compare the sensitivity of different methodologies for detection of Mtb and genomic drug resistance in peripheral blood of TB patients and recently vs. remotely exposed asymptomatic TB contacts in Kampala, Uganda.
Study objectives Primary objective
The primary objective of this study is to determine whether Mycobacterium tuberculosis (Mtb) can be detected in the blood of recent TB contacts, recruited in Kampala, Uganda, using any of the following methods:
Secondary objectives
Secondary objectives of this study are:
To establish whether detection of Mtb in blood using the methods above associates with any of the following biomarkers of host immune response:
Primary endpoint Proportion of TB patients and their contacts in whom Mtb DNA can be detected in peripheral blood using digital PCR.
Secondary endpoints
Proportion of TB patients and their contacts in whom Mtb DNA can be detected in peripheral blood using the following methods:
Proportion of TB patients and their contacts with positive results for either of the following assays:
199 studies on the registry are indexed under Latent Tuberculosis; 48 are open to participants now.
This study's planned enrollment of 60 is below the median of 260 across 82 observational studies indexed under Latent Tuberculosis.
Browse Latent Tuberculosis studies →Queen Mary University of London is the lead sponsor of 253 studies on the registry; 58 are open to participants now.
Compared within Latent Tuberculosis, this study's primary condition as ClinicalTrials.gg classifies it; the registry's first condition term is Tuberculosis. The counts are of registry records indexed under each term, refreshed daily. How we classify →
TB patients (Group A):
Inclusion Criteria:
Exclusion criteria:
Recent TB contacts (Group B):
Inclusion Criteria:
Exclusion Criteria:
Historical TB contacts (Group C):
Inclusion Criteria:
Exclusion Criteria:
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
Informed consent
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
New diagnosis of smear-positive or Xpert-confirmed pulmonary TB
Household contact with an index case of smear-positive pulmonary TB recruited to Group A.
Participant in previous TB household contact study
Mtb DNA prevalence
Prevalence of detectable Mtb in each group
Time frame: 1 year
Mtb detection using alternative methods
Determine if Mtb can be detected in the blood of TB patients and their contacts, recruited in Kampala, Uganda, using any of the following methods: * GeneXpert® MTB/RIF Ultra (Cepheid) * Fluorescence microscopy * Blood culture * Targeted Next-Generation Sequencing
Time frame: 1 year
Mtb DNA detection association with IGRA and RNA signatures for incipient TB
Mtb DNA detection in blood and association with any of the following biomarkers of host immune response: * QFT-Plus * Blood RNA signatures for incipient tuberculosis
Time frame: 1 year
Strain correlation between index case and contact
To determine if Mtb strains isolated from the sputum of index cases with pulmonary TB are genetically identical to those detected in the blood of their contacts.
Time frame: 1 year
Plan to share: Undecided
No publications or documents are linked to this record.
Started Sep 2024 (actual). Primary completion is estimated for Sep 2026, 24 months after the start.
How these figures are worked out, and which studies are left out of them.
Eligibility is decided by the study team. Share this record with your doctor or contact the team directly.
No contact was published for this record. The registry link below has the sponsor’s details.
Get an email when the registry record changes — status, dates, results — or when someone posts here.
Sign in to followQuestions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.
Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.
Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.
Queen Mary University of London →