Evidence map›Paper›PMID 28150302›Full record

ReviewEuropean journal of immunology2017

Immunological consequences of strain variation within the Mycobacterium tuberculosis complex.

Leopold D Tientcheu, Anastasia Koch, Mthawelenga Ndengane, Genevieve Andoseh, Beate Kampmann, Robert J Wilkinson

Open access · hybridAbstract readReview
In one paragraph

Review in European journal of immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
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  5. Article
  6. Article
  7. Article
  8. Review
  9. Experimental dissection of tuberculosis protective immunity: a human perspective.Frontiers in cellular and infection microbiology · 2025
    Review
  10. Frontiers in immunology · 2025
    Article
  11. Review
  12. Article
  13. Functional genetic variation inFrontiers in microbiology · 2023
    Article
  14. Article
  15. Article
  16. Interaction betweenPathogens (Basel, Switzerland) · 2021
    Article
  17. Article
  18. Article
  19. Article
  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

6 authors at 5 institutions in 4 countries.

Leopold D TientcheuVaccines and Immunity Theme, Medical Research Council Unit, The Gambia, Banjul, The Gambia.
Anastasia KochWellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine and Department of Medicine, University of Cape Town, Observatory, Republic of South Africa.
Mthawelenga NdenganeWellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine and Department of Medicine, University of Cape Town, Observatory, Republic of South Africa.
Genevieve AndosehDepartment of Biochemistry, Faculty of Science, University of Yaoundé 1, Yaoundé, Cameroon.
Beate KampmannVaccines and Immunity Theme, Medical Research Council Unit, The Gambia, Banjul, The Gambia.
Robert J WilkinsonWellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine and Department of Medicine, University of Cape Town, Observatory, Republic of South Africa.
Wellcome Centre for Infectious Diseases Research in Africa · ZAImperial College London · GBMRC Unit the Gambia · GMNIHR Imperial Biomedical Research Centre · GBUniversité de Yaoundé I · CM

Funding

Validation and Application of a Model for Human-like TB Latency in RabbitsU19AI111276 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI ALLAND, DAVID, ELLNER, JERROLD J. · 2014 to 2020
$23.3M
Inflammatory determinants of disease severity and treatment outcome in TB patientsU01AI115940 · NIAID · UNIVERSITY OF CAPE TOWN · PI SHER, ALAN, WILKINSON, ROBERT JOHN · 2015 to 2019
$1.1M
Cancer Research UK FC00110218Medical Research Council MC_EX_MR/J010391/1Medical Research Council MC_EX_MR/K011944/1Medical Research Council MC_UP_A900_1122NIAID NIH HHS U01 AI115940NIAID NIH HHS U19 AI111276Wellcome Trust 104503Wellcome Trust 104803Wellcome Trust 203135
6 · The paper itself

Abstract

In 2015, there were an estimated 10.4 million new cases of tuberculosis (TB) globally, making it one of the leading causes of death due to an infectious disease. TB is caused by members of the Mycobacterium tuberculosis complex (MTBC), with human disease resulting from infection by M. tuberculosis sensu stricto and M. africanum. Recent progress in genotyping techniques, in particular the increasing availability of whole genome sequence data, has revealed previously under appreciated levels of genetic diversity within the MTBC. Several studies have shown that this genetic diversity may translate into differences in TB transmission, clinical manifestations of disease, and host immune responses. This suggests the existence of MTBC genotype-dependent host-pathogen interactions which may influence the outcome of infection and progression of disease. In this review, we highlight the studies demonstrating differences in innate and adaptive immunological outcomes consequent on MTBC genetic diversity, and discuss how these differences in immune response might influence the development of TB vaccines, diagnostics and new therapies.

Indexed as

Adaptive ImmunityAntigenic VariationGenetic VariationImmunity, InnateAnimalsGenotypeHost-Pathogen InteractionsHumansMycobacterium tuberculosisPhylogenySpecies SpecificityTuberculosisTuberculosis VaccinesTuberculosis VaccinesAdaptive and innate immunityGenetic diversityHost responseMycobacterium tuberculosis complexTranslational implications

Identifiers

PMID28150302
PMCPMC5363233
OpenAlexW2585160258

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.