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

      research-article
      , PhD a , b , c , , MSc d , e , , PhD a , f , , PhD a , , BSc b , , BSc b , , BSc b , , MSc b , , MSc b , , MSc d , , BSc g , , MMed h , , PhD i , j , , BSc i , , PhD i , , PhD k , * , , Prof, PhD l , , PhD l , , PhD m , , PhD n , , PhD o , , PhD p , , Prof, PhD p , , MD q , , Prof, MD b , , Prof, PhD d , r , , PhD b , , PhD g , s , * , , Prof, PhD a , *
      The Lancet. Microbe
      Elsevier Ltd

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          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.

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          Most cited references19

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          Limit of blank, limit of detection and limit of quantitation.

          * Limit of Blank (LoB), Limit of Detection (LoD), and Limit of Quantitation (LoQ) are terms used to describe the smallest concentration of a measurand that can be reliably measured by an analytical procedure. * LoB is the highest apparent analyte concentration expected to be found when replicates of a blank sample containing no analyte are tested. LoB = mean(blank) + 1.645(SD(blank)). * LoD is the lowest analyte concentration likely to be reliably distinguished from the LoB and at which detection is feasible. LoD is determined by utilising both the measured LoB and test replicates of a sample known to contain a low concentration of analyte. * LoD = LoB + 1.645(SD (low concentration sample)). * LoQ is the lowest concentration at which the analyte can not only be reliably detected but at which some predefined goals for bias and imprecision are met. The LoQ may be equivalent to the LoD or it could be at a much higher concentration.
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            The Global Burden of Latent Tuberculosis Infection: A Re-estimation Using Mathematical Modelling

            Background The existing estimate of the global burden of latent TB infection (LTBI) as “one-third” of the world population is nearly 20 y old. Given the importance of controlling LTBI as part of the End TB Strategy for eliminating TB by 2050, changes in demography and scientific understanding, and progress in TB control, it is important to re-assess the global burden of LTBI. Methods and Findings We constructed trends in annual risk in infection (ARI) for countries between 1934 and 2014 using a combination of direct estimates of ARI from LTBI surveys (131 surveys from 1950 to 2011) and indirect estimates of ARI calculated from World Health Organisation (WHO) estimates of smear positive TB prevalence from 1990 to 2014. Gaussian process regression was used to generate ARIs for country-years without data and to represent uncertainty. Estimated ARI time-series were applied to the demography in each country to calculate the number and proportions of individuals infected, recently infected (infected within 2 y), and recently infected with isoniazid (INH)-resistant strains. Resulting estimates were aggregated by WHO region. We estimated the contribution of existing infections to TB incidence in 2035 and 2050. In 2014, the global burden of LTBI was 23.0% (95% uncertainty interval [UI]: 20.4%–26.4%), amounting to approximately 1.7 billion people. WHO South-East Asia, Western-Pacific, and Africa regions had the highest prevalence and accounted for around 80% of those with LTBI. Prevalence of recent infection was 0.8% (95% UI: 0.7%–0.9%) of the global population, amounting to 55.5 (95% UI: 48.2–63.8) million individuals currently at high risk of TB disease, of which 10.9% (95% UI:10.2%–11.8%) was isoniazid-resistant. Current LTBI alone, assuming no additional infections from 2015 onwards, would be expected to generate TB incidences in the region of 16.5 per 100,000 per year in 2035 and 8.3 per 100,000 per year in 2050. Limitations included the quantity and methodological heterogeneity of direct ARI data, and limited evidence to inform on potential clearance of LTBI. Conclusions We estimate that approximately 1.7 billion individuals were latently infected with Mycobacterium tuberculosis (M.tb) globally in 2014, just under a quarter of the global population. Investment in new tools to improve diagnosis and treatment of those with LTBI at risk of progressing to disease is urgently needed to address this latent reservoir if the 2050 target of eliminating TB is to be reached.
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              Tuberculosis

              Tuberculosis remains the leading cause of death from an infectious disease among adults worldwide, with more than 10 million people becoming newly sick from tuberculosis each year. Advances in diagnosis, including the use of rapid molecular testing and whole-genome sequencing in both sputum and non-sputum samples, could change this situation. Although little has changed in the treatment of drug-susceptible tuberculosis, data on increased efficacy with new and repurposed drugs have led WHO to recommend all-oral therapy for drug-resistant tuberculosis for the first time ever in 2018. Studies have shown that shorter latent tuberculosis prevention regimens containing rifampicin or rifapentine are as effective as longer, isoniazid-based regimens, and there is a promising vaccine candidate to prevent the progression of infection to the disease. But new tools alone are not sufficient. Advances must be made in providing high-quality, people-centred care for tuberculosis. Renewed political will, coupled with improved access to quality care, could relegate the morbidity, mortality, and stigma long associated with tuberculosis, to the past.
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                Author and article information

                Contributors
                Journal
                Lancet Microbe
                Lancet Microbe
                The Lancet. Microbe
                Elsevier Ltd
                2666-5247
                1 June 2021
                June 2021
                : 2
                : 6
                : e267-e275
                Affiliations
                [a ]Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
                [b ]Armauer Hansen Research Institute, Addis Ababa, Ethiopia
                [c ]Institute of Health and Society, University of Oslo, Oslo, Norway
                [d ]Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
                [e ]Department of Medical Laboratory Science, Bahir Dar University, Bahir Dar, Ethiopia
                [f ]National University of Medical Sciences, Rawalpindi, Punjab, Pakistan
                [g ]Department of Medicine, University of Cambridge, Cambridge, UK
                [h ]School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda
                [i ]National Measurement Laboratory, LGC, Teddington, Middlesex, UK
                [j ]School of Biosciences & Medicine, Faculty of Health & Medical Science, University of Surrey, Guildford, UK
                [k ]Department of Pathology, The Royal Veterinary College, Hatfield, UK
                [l ]Division of Infection and Immunity, University College London, London, UK
                [m ]Camelia Botnar Laboratories, Great Ormond Street Hospital for Children, London, UK
                [n ]National Mycobacterium Reference Service—South, National Infection Service, London, UK
                [o ]Institut d'Immunologie, Centre de Biologie-Pathologie-Génétique du CHRU de Lille, Lille, France
                [p ]Animal and Plant Health Agency, New Haw, UK
                [q ]Clinical Infection Medicine, Department of Translational Medicine, Lund University, Malmö, Sweden
                [r ]Department of Veterinary Medicine, College of Food and Agriculture, United Arab Emirates University, Al Ain, United Arab Emirates
                [s ]Kymab, Babraham Research Campus, Cambridge, UK
                Author notes
                [* ]Correspondence to: Prof Adrian R Martineau, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AB, UK a.martineau@ 123456qmul.ac.uk
                [*]

                These authors contributed equally

                Article
                S2666-5247(21)00043-4
                10.1016/S2666-5247(21)00043-4
                8172384
                34100007
                bc682dbb-a21b-4790-bb45-6ee082aee86f
                © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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