Evidence map›Paper›PMID 41855970›Full record

ArticleEBioMedicine2026

An ultrasensitive method for early detection of tuberculosis in asymptomatic high-risk individuals.

Evangeline Ann Daniel, Manohar Nesakumar, Hemalatha Haribabu, Nancy Hilda, Kannan Thiruvengadam, Umashankar Vetrivel, Anbalagan Selvaraj, Sathyamurthi Pattabiraman, Brindha Bhanu, Amsaveni Sivaprakasam and 9 more

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Article in EBioMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Evangeline Ann DanielDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, India; University of Madras, Chennai, India.
Manohar NesakumarDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, India.
Hemalatha HaribabuDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, India.
Nancy HildaDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, India.
Kannan ThiruvengadamDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, India.
Umashankar VetrivelDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, India.
Anbalagan SelvarajDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, India.
Sathyamurthi PattabiramanDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, India.
Brindha BhanuDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, India.
Amsaveni SivaprakasamDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, India.
Sudhakar NatarajanDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, India.
Vandana KulkarniBJ Government Medical College-Johns Hopkins Clinical Research Site, Pune, India; Johns Hopkins Center for Infectious Diseases in India, Pune, India.
Rajesh KaryakarteByramjee Jeejeebhoy Government Medical College and Sassoon General Hospitals, Pune, India.
Mandar ParadkarBJ Government Medical College-Johns Hopkins Clinical Research Site, Pune, India; Johns Hopkins Center for Infectious Diseases in India, Pune, India.
Shri Vijay Bala Yogendra ShivakumarJohns Hopkins Center for Infectious Diseases in India, Pune, India.
Vidya MaveBJ Government Medical College-Johns Hopkins Clinical Research Site, Pune, India; Johns Hopkins Center for Infectious Diseases in India, Pune, India; Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Padmapriyadarsini ChandrasekaranDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, India.
Amita GuptaJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Luke Elizabeth HannaDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, India. Electronic address: lukeelizebath.hanna@icmr.gov.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe dynamic spectrum of tuberculosis (TB) often results in underdiagnosis warranting the need for better diagnostics to accurately detect Mycobacterium tuberculosis (Mtb) in persons with asymptomatic, paucibacillary or extrapulmonary TB, and to identify individuals at high risk of developing TB disease early. This study aimed to evaluate a dual target-based digital droplet PCR (ddPCR) assay to detect circulating cell-free Mtb DNA in plasma of individuals at high risk of developing TB disease and in those lacking a clear diagnosis of TB (asymptomatic or clinically diagnosed TB).

methodsForty-six healthy household contacts (HHCs) of patients with pulmonary TB who developed TB within two years of follow-up (Progressors), and 92 HHCs who did not progress to TB (Non-progressors) were included in the study. Plasma was obtained and subjected to testing using a ddPCR assay targeting two M. tuberculosis (Mtb)-specific insertion sequences, IS6110 and IS1081. Sensitivity, specificity, and ROC curves were used to assess the diagnostic performance of the test.

findingsIS6110 and IS1081 targets were detected in 10/11 asymptomatic TB cases giving a sensitivity of 90.9% (95% CI: 62.3-99.5), and in 9/11 unconfirmed/possible TB cases giving a sensitivity of 81.8% (95% CI: 52.3-96.8). Further, the test detected Mtb-ccfDNA in 15/19 Progressors even at six months prior to TB diagnosis (79.0% sensitivity, 95% CI: 56.7-91.5; 97.8% specificity, 95% CI: 92.4-99.6). Detection rates at 12- and 18-months prior to onset of TB were 55.0% (95% CI: 34.2-74.2) and 50.0% (95% CI: 29.9-70.1), respectively. Notably, the test showed 100% sensitivity (95% CI: 43.9-100.0) in detecting extrapulmonary TB up to six months prior to clinical diagnosis.

interpretationThe study highlights the potential of ddPCR-based detection of Mtb ccfDNA as a valuable tool for early identification of individuals at risk of developing active TB disease and for clarifying the diagnosis of TB in diagnostically challenging cases. Further validation in a larger cohort will confirm the findings of the study and endorse the utility of the test in clinical practice.

fundingThis work was supported by the Indian Council of Medical Research (Grant number:5/8/5/45/Adhoc/2022/ECD-1). The CTRIUMPh cohort study which provided samples for this study was supported by the NIH/DBT Indo-US Vaccine Action Programme.

Indexed as

Mycobacterium tuberculosisPolymerase Chain ReactionTuberculosisTuberculosis, PulmonaryAdultDNA, BacterialDNA Transposable ElementsEarly DiagnosisFemaleHumansMaleMiddle AgedROC CurveSensitivity and SpecificityYoung AdultDNA, BacterialDNA Transposable ElementsCell-free DNAddPCRDiagnosisSub clinical TBTuberculosis

Identifiers

PMID41855970
PMCPMC13015249

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.