Evidence map›Paper›PMID 31498808›Full record

ArticlePloS one2019

Genetic variability and consequence of Mycobacterium tuberculosis lineage 3 in Kampala-Uganda.

Eddie M Wampande, Peter Naniima, Ezekiel Mupere, David P Kateete, LaShaunda L Malone, Catherine M Stein, Harriet Mayanja-Kizza, Sebastien Gagneux, W Henry Boom, Moses L Joloba

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Interaction betweenPathogens (Basel, Switzerland) · 2021
    Article
  9. Diversity ofTuberculosis research and treatment · 2021
    Article
  10. Genetics and evolution of tuberculosis pathogenesis: New perspectives and approaches.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
    Review
  11. 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

10 authors.

Eddie M WampandeDepartment of Medical Microbiology, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0003-0012-8883
Peter NaniimaDepartment of Medical Microbiology, College of Health Sciences, Makerere University, Kampala, Uganda.
Ezekiel MupereDepartment of Pediatrics and Child Health College of Health Sciences, Makerere University, Kampala, Uganda.
David P KateeteDepartment of Medical Microbiology, College of Health Sciences, Makerere University, Kampala, Uganda.
LaShaunda L MaloneUganda-Case Western Reserve University Research Collaboration, Kampala, Uganda.
Catherine M SteinTuberculosis Research Unit, School of Medicine, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH, Uinted States of America.
Harriet Mayanja-KizzaUganda-Case Western Reserve University Research Collaboration, Kampala, Uganda.
Sebastien GagneuxSwiss Tropical and Public Health Institute, Basel, Switzerland.
W Henry BoomTuberculosis Research Unit, School of Medicine, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH, Uinted States of America.
Moses L JolobaDepartment of Medical Microbiology, College of Health Sciences, Makerere University, Kampala, Uganda.

Funding

Tuberculosis Prevention Research Unit /TBRU/-266095383N01AI095383 · NIAID · CASE WESTERN RESERVE UNIVERSITY · 2000 to 2005
$5.6M
CELL TO CELL SIGNALING IN MYCOBACTERIAR01AI075637 · NIAID · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI JOLOBA, MOSES LUTAAKOME · 2007 to 2010
$319k
NIAID NIH HHS N01 AI070022NIAID NIH HHS N01 AI095383NIAID NIH HHS R01 AI075637Wellcome TrustWellcome Trust 107742/Z/15/Z
6 · The paper itself

Abstract

backgroundLimited data existed exclusively describing Mycobacterium tuberculosis lineage 3 (MTB-L3), sub-lineages, and clinical manifestations in Kampala, Uganda. This study sought to elucidate the circulating MTB-L3 sub-lineages and their corresponding clinical phenotypes.

methodA total of 141 M. tuberculosis isolates were identified as M. tuberculosis lineage 3 using Single nucleotide polymorphism (SNP) marker analysis method. To ascertain the sub-lineages/sub-strains within the M. tuberculosis lineage 3, the direct repeat (DR) loci for all the isolates was examined for sub-lineage specific signatures as described in the SITVIT2 database. The infecting sub-strains were matched with patients' clinical and demographic characteristics to identify any possible association.

resultThe data showed 3 sub-lineages circulating with CAS 1 Delhi accounting for 55% (77/141), followed by CAS 1-Kili 16% (22/141) and CAS 2/CAS 8% (12/141). Remaining isolates 21% (30/141) were unclassifiable. To explore whether the sub-lineages differ in their ability to cause increased severe disease, we used extent of lung involvement as a proxy for severe disease. Multivariable analysis showed no association between M. tuberculosis lineage 3 sub-lineages with severe disease. The risk factors associated with severe disease include having a positive smear (OR = 9.384; CI 95% = 2.603-33.835), HIV (OR = 0.316; CI 95% = 0.114-0.876), lymphadenitis (OR = 0. 171; CI 95% = 0.034-0.856) and a BCG scar (OR = 0.295; CI 95% = 0.102-0.854).

conclusionIn Kampala, Uganda, there are three sub-lineages of M. tuberculosis lineage 3 that cause disease of comparable severity with CAS-Dehli as the most prevalent. Having HIV, lymphadenitis, a BCG scar and a smear negative status is associated with reduced severe disease.

Indexed as

Genetic VariationAdultGenotypeHumansMultivariate AnalysisMycobacterium tuberculosisPhenotypeRisk FactorsTuberculosis, PulmonaryUganda

Identifiers

PMID31498808
PMCPMC6733460

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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.