Evidence map›Paper›PMID 26095067›Full record

Observational studyImmunology2015

Profiling leucocyte subsets in tuberculosis-diabetes co-morbidity.

Nathella Pavan Kumar, Kadar Moideen, Sharmila D Dhakshinraj, Vaithilingam V Banurekha, Dina Nair, Chandrakumar Dolla, Paul Kumaran, Subash Babu

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 25% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  11. A Case Report of Wound Infection Caused byInfection and drug resistance · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. ImpairedFrontiers in immunology · 2024
    Article
  17. Article
  18. Impact of diabetes mellitus on immunity to latent tuberculosis infection.Frontiers in clinical diabetes and healthcare · 2023
    Review
  19. Observational
  20. Article
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

8 authors at 2 institutions in 1 country.

Nathella Pavan KumarNational Institutes of Health-NIRT-International Centre for Excellence in Research, Chennai, India.
Kadar MoideenNational Institutes of Health-NIRT-International Centre for Excellence in Research, Chennai, India.
Sharmila D DhakshinrajNational Institutes of Health-NIRT-International Centre for Excellence in Research, Chennai, India.
Vaithilingam V BanurekhaNational Institute for Research in Tuberculosis, Chennai, India.
Dina NairNational Institute for Research in Tuberculosis, Chennai, India.
Chandrakumar DollaNational Institute for Research in Tuberculosis, Chennai, India.
Paul KumaranNational Institute for Research in Tuberculosis, Chennai, India.
Subash BabuNational Institutes of Health-NIRT-International Centre for Excellence in Research, Chennai, India.
National Institute of Research in Tuberculosis · INInternational Centers for Excellence in Research · IN

Funding

India International Center for Excellence in ResearchZIAAI001065 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI NUTMAN, THOMAS · 2009 to 2025
$19.0M
Intramural NIH HHS
6 · The paper itself

Abstract

The immune system plays an important role in the pathogenesis of pulmonary tuberculosis-type 2 diabetes mellitus (PTB-DM) co-morbidity. However, the phenotypic profile of leucocyte subsets at homeostasis in individuals with active or latent tuberculosis (LTB) with coincident diabetes is not known. To characterize the influence of diabetes on leucocyte phenotypes in PTB or LTB, we examined the frequency (Fo ) of leucocyte subsets in individuals with TB with (PTB-DM) or without (PTB) diabetes; individuals with latent TB with (LTB-DM) or without (LTB) diabetes and non-TB-infected individuals with (NTB-DM) or without (NTB) diabetes. Coincident DM is characterized by significantly lower Fo of effector memory CD4(+) T cells in LTB individuals. In contrast, DM is characterized by significantly lower Fo of effector memory CD8(+) T cells and significantly higher Fo of central memory CD8(+) T cells in PTB individuals. Coincident DM resulted in significantly higher Fo of classical memory B cells in PTB and significantly higher Fo of activated memory and atypical B cells in LTB individuals. Coincident DM resulted in significantly lower Fo of classical and intermediate monocytes in PTB, LTB and NTB individuals. Finally, DM resulted in significantly lower Fo of myeloid and plasmacytoid dendritic cells in PTB, LTB and NTB individuals. Our data reveal that coincident diabetes alters the cellular subset distribution of T cells, B cells, dendritic cells and monocytes in both individuals with active TB and those with latent TB, thus potentially impacting the pathogenesis of this co-morbid condition.

Indexed as

AdultAgedBiomarkersB-Lymphocyte SubsetsComorbidityDendritic CellsDiabetes Mellitus, Type 2FemaleHumansImmunophenotypingIndiaLatent TuberculosisLymphocyte CountMaleMiddle AgedMonocytesBiomarkersB cellsdendritic cellsdiabetesmonocytesT cellstuberculosis

Identifiers

PMID26095067
PMCPMC4582965
OpenAlexW2129440791

What OpenQuestion holds

Textmetadata
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Registered trials

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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.