Evidence map›Paper›PMID 26423522›Full record

ArticleBMC infectious diseases2015

A single-nucleotide-polymorphism real-time PCR assay for genotyping of Mycobacterium tuberculosis complex in peri-urban Kampala.

Eddie M Wampande, Stavroula K Hatzios, Beatrice Achan, Ezekiel Mupere, Mary Nsereko, Harriet K Mayanja, Kathleen Eisenach, W Henry Boom, Sebastien Gagneux, Moses L Joloba and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact, top 93% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Interaction betweenPathogens (Basel, Switzerland) · 2021
    Article
  3. Diversity ofTuberculosis research and treatment · 2021
    Article
  4. Article
  5. 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

11 authors at 6 institutions in 3 countries.

Eddie M WampandeDepartment of Medical Microbiology, College of Health Sciences, School of Biomedical Sciences, Makerere University, P.O BOX 7072, Kampala, Uganda. wamps@covab.mak.ac.ug.
Stavroula K HatziosDepartment of Medical Microbiology, College of Health Sciences, School of Biomedical Sciences, Makerere University, P.O BOX 7072, Kampala, Uganda. shatzios@rics.bwh.harvard.edu.
Beatrice AchanDepartment of Medical Microbiology, College of Health Sciences, School of Biomedical Sciences, Makerere University, P.O BOX 7072, Kampala, Uganda. baetriceachan@yahoo.com.
Ezekiel MupereDepartment of Pediatrics and Child Health College of Health Sciences, Makerere University, Kampala, Uganda. mupez@yahoo.com.
Mary NserekoUganda-Case Western Reserve University Research Collaboration, Kampala, Uganda. mnsereko@mucwru.or.ug.
Harriet K MayanjaUganda-Case Western Reserve University Research Collaboration, Kampala, Uganda. hmk@chs.mak.ac.ug.
Kathleen EisenachDepartment of Pathology, University of Arkansas for Medical Sciences, Little Rock, AR, USA. EisenachKathleenD@uams.edu.
W Henry BoomTuberculosis Research Unit, School of Medicine, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, Ohio, USA. whb@case.edu.
Sebastien GagneuxDepartment of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Basel, Switzerland. Sebastien.gagneux@unibas.ch.
Moses L JolobaDepartment of Medical Microbiology, College of Health Sciences, School of Biomedical Sciences, Makerere University, P.O BOX 7072, Kampala, Uganda. mlj10@case.edu.
Tuberculosis Research Unit
Makerere University · UGMUJHU Research Collaboration · UGBrigham and Women's Hospital · USSwiss Tropical and Public Health Institute · CHUniversity Hospitals of Cleveland · USUniversity of Arkansas for Medical Sciences · US

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 N01-AI-70022NIAID NIH HHS N01-AI-95383NIAID NIH HHS R01 AI075637NIAID NIH HHS R01 AI075637-01
6 · The paper itself

Abstract

backgroundAccurate and high-throughput genotyping of Mycobacterium tuberculosis complex (MTBC) may be important for understanding the epidemiology and pathogenesis of tuberculosis (TB). In this study, we report the development of a LightCycler® real-time PCR single-nucleotide-polymorphism (LRPS) assay for the rapid determination of MTBC lineages/sublineages in minimally processed sputum samples from TB patients.

methodGenotyping analysis of 70 MTBC strains was performed using the Long Sequence Polymorphism-PCR (LSP-PCR) technique and the LRPS assay in parallel. For targeted sequencing, 9 MTBC isolates (three isolates per MTBC lineage) were analyzed for lineage-specific single nucleotide polymorphisms (SNPs) in the following three genes to verify LRPS results: Rv004c for MTB Uganda family, Rv2962 for MTB lineage 4, and Rv0129c for MTB lineage 3. The MTBC lineages present in 300 smear-positive sputum samples were then determined by the validated LRPS method without prior culturing.

resultsThe LSP-PCR and LRPS assays produced consistent genotyping data for all 70 MTBC strains; however, the LSP-PCR assay was 10-fold less sensitive than the LRPS method and required higher DNA concentrations to successfully characterize the MTBC lineage of certain samples. Targeted sequencing of genes containing lineage-specific SNPs was 100 % concordant with the genotyping results and provided further validation of the LRPS assay. Of the 300 sputum samples analyzed, 58 % contained MTBC from the MTBC-Uganda family, 27 % from the MTBC lineage 4 (excluding MTBC Uganda family), 13 % from the MTBC lineage 3, and the remaining 2 % were of indeterminate lineage.

conclusionThe LRPS assay is a sensitive, high-throughput technique with potential application to routine genotyping of MTBC in sputum samples from TB patients.

Indexed as

Polymorphism, Single NucleotideBase SequenceDNA, BacterialGenotypeHumansMolecular Sequence DataMycobacterium tuberculosisReal-Time Polymerase Chain ReactionSequence AlignmentSequence Analysis, DNASputumTuberculosisUgandaDNA, Bacterial

Identifiers

PMID26423522
PMCPMC4590274
OpenAlexW2133805132

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.