Evidence map›Paper›PMID 20036184›Full record

ReviewCurrent opinion in microbiology2010

To catch a killer. What can mycobacterial models teach us about Mycobacterium tuberculosis pathogenesis?

Michael U Shiloh, Patricia A DiGiuseppe Champion

Abstract readReview
In one paragraph

Review in Current opinion in microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

68 citing papers in PubMed, 1 synthesis or guideline pooled it, 135 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. CRISPRi-mediated silencing of the ABC transporterFrontiers in microbiology · 2026
    Article
  4. Heterologous Substitution ofAntibiotics (Basel, Switzerland) · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Crystal structure of dihydroorotate dehydrogenase from Helicobacter pylori with bound flavin mononucleotide.Acta crystallographica. Section F, Structural biology communications · 2025
    Article
  11. Article
  12. Discovery ofAntibiotics (Basel, Switzerland) · 2024
    Article
  13. Article
  14. Article
  15. A recombinantHuman vaccines & immunotherapeutics · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

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

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

2 authors at 1 institution in 1 country.

Michael U ShilohDepartment of Medicine, Division of Infectious Diseases, University of California, San Francisco, CA 94158, USA.
Patricia A DiGiuseppe Champion
University of Notre Dame · US

Funding

Carbon monoxide in Mycobacterium tuberculosis pathogenesisK08AI076632 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI SHILOH, MICHAEL · 2008 to 2010
$365k
NIAID NIH HHS K08 AI076632
6 · The paper itself

Abstract

Mycobacterium tuberculosis is the causative agent of the global tuberculosis epidemic. To combat this successful human pathogen we need a better understanding of the basic biology of mycobacterial pathogenesis. The use of mycobacterial model systems has the potential to greatly facilitate our understanding of how M. tuberculosis causes disease. Recently, studies using mycobacterial models, including M. bovis BCG, M. marinum, and M. smegmatis have significantly contributed to understanding M. tuberculosis. Specifically, there have been advances in genetic manipulation of M. tuberculosis using inducible promoters and recombineering that alleviate technical limitations in working with mycobacteria. Model systems have helped elucidate how secretion systems function at both the molecular level and during virulence. Mycobacterial models have also led to interesting hypotheses about how M. tuberculosis mediates latent infection and host response. While there is utility in using model systems to understand tuberculosis, each of these models represent distinct mycobacterial species with unique environmental adaptations. Directly comparing findings in model mycobacteria to those in M. tuberculosis will illuminate the similarities and differences between these species and increase our understanding of why M. tuberculosis is such a potent human pathogen.

Indexed as

Host-Pathogen InteractionsHumansModels, BiologicalMycobacterium bovisMycobacterium smegmatisMycobacterium tuberculosisTuberculosisVirulence

Identifiers

PMID20036184
PMCPMC2876343
OpenAlexW2070413611

What OpenQuestion holds

Textmetadata
LicenceTDM
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.