Evidence map›Paper›PMID 25822019›Full record

ArticleThe Journal of clinical investigation2015

Biomarkers on patient T cells diagnose active tuberculosis and monitor treatment response.

Toidi Adekambi, Chris C Ibegbu, Stephanie Cagle, Ameeta S Kalokhe, Yun F Wang, Yijuan Hu, Cheryl L Day, Susan M Ray, Jyothi Rengarajan

Erratum issuedOpen access · bronzeAbstract readComparative StudyControlled Clinical Trial
In one paragraph

Article in The Journal of clinical investigation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed
8.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

100 citing papers in PubMed, 163 citations in OpenAlex.

  1. Trial
  2. Review
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  9. Article
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  14. Tissue-specific T cell profiles inFrontiers in tuberculosis · 2025
    Article
  15. Article
  16. Article
  17. Observational
  18. Review
  19. Article
  20. Article

40 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Toidi Adekambi
Chris C Ibegbu
Stephanie Cagle
Ameeta S Kalokhe
Yun F Wang
Yijuan Hu
Cheryl L Day
Susan M Ray
Jyothi Rengarajan
Emory University · USGrady Memorial Hospital · US

Funding

Yerkes National Primate Research Center Role of type-I IFN in regulating COVID-19 induced inflammation and pathogenesisP51OD011132 · OD · EMORY UNIVERSITY · PI Joon Sup Lee · 2012 to 2026
$167.0M
YNPRC NHP CLINICAL MEDICINE RESIDENCY PROGRAM - SUPPLEMENTP51RR000165 · NCRR · EMORY UNIVERSITY · PI ALTMAN, JOHN DAVID · 1985 to 2011
$114.0M
VACCINE INDUCED IMMUNITY IN THE YOUNG AND AGEDU19AI057266 · NIAID · EMORY UNIVERSITY · PI Rafi Ahmed · 2003 to 2026
$81.7M
Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
Vanderbilt-Emory-Cornell-Duke Consortium for Global Health Fellows (VECDor)R25TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEIMBURGER, DOUGLAS CORBETT, VERMUND, STEN H. · 2012 to 2016
$6.3M
Mechanisms of Immune Regulation in Mycobacterium Tuberculosis InfectionR01AI083156 · NIAID · UNIVERSITY OF CAPE TOWN · PI DAY, CHERYL LIANE · 2009 to 2012
$415k
FIC NIH HHS R25 TW009337NCRR NIH HHS P51 RR000165NCRR NIH HHS RR000165NIAID NIH HHS AI057266NIAID NIH HHS AI083156NIAID NIH HHS P30 AI050409NIAID NIH HHS P30AI050409NIAID NIH HHS R01 AI083156NIAID NIH HHS U19 AI057266NIH HHS P51 OD011132
6 · The paper itself

Abstract

backgroundThe identification and treatment of individuals with tuberculosis (TB) is a global public health priority. Accurate diagnosis of pulmonary active TB (ATB) disease remains challenging and relies on extensive medical evaluation and detection of Mycobacterium tuberculosis (Mtb) in the patient's sputum. Further, the response to treatment is monitored by sputum culture conversion, which takes several weeks for results. Here, we sought to identify blood-based host biomarkers associated with ATB and hypothesized that immune activation markers on Mtb-specific CD4+ T cells would be associated with Mtb load in vivo and could thus provide a gauge of Mtb infection.

methodsUsing polychromatic flow cytometry, we evaluated the expression of immune activation markers on Mtb-specific CD4+ T cells from individuals with asymptomatic latent Mtb infection (LTBI) and ATB as well as from ATB patients undergoing anti-TB treatment.

resultsFrequencies of Mtb-specific IFN-γ+CD4+ T cells that expressed immune activation markers CD38 and HLA-DR as well as intracellular proliferation marker Ki-67 were substantially higher in subjects with ATB compared with those with LTBI. These markers accurately classified ATB and LTBI status, with cutoff values of 18%, 60%, and 5% for CD38+IFN-γ+, HLA-DR+IFN-γ+, and Ki-67+IFN-γ+, respectively, with 100% specificity and greater than 96% sensitivity. These markers also distinguished individuals with untreated ATB from those who had successfully completed anti-TB treatment and correlated with decreasing mycobacterial loads during treatment.

conclusionWe have identified host blood-based biomarkers on Mtb-specific CD4+ T cells that discriminate between ATB and LTBI and provide a set of tools for monitoring treatment response and cure.

trial registrationRegistration is not required for observational studies.

fundingThis study was funded by Emory University, the NIH, and the Yerkes National Primate Center.

Indexed as

Lymphocyte ActivationAdolescentADP-ribosyl Cyclase 1AdultAgedAged, 80 and overAntitubercular AgentsAsymptomatic DiseasesBiomarkersCD4-Positive T-LymphocytesDiagnosis, DifferentialDrug MonitoringFemaleFlow CytometryGeorgiaHLA-DR AntigensADP-ribosyl Cyclase 1Antitubercular AgentsBiomarkersCD38 protein, humanHLA-DR AntigensInterferon-gammaKi-67 AntigenMembrane Glycoproteins

Identifiers

PMID25822019
PMCPMC4598074
OpenAlexW2136209171

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.