Evidence map›Paper›PMID 14745511›Full record

ArticleJournal of mathematical biology2004

Macrophage response to Mycobacterium tuberculosis infection.

D Gammack, C R Doering, D E Kirschner

Abstract read
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In one paragraph

Article in Journal of mathematical biology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

  1. Article
  2. Characterizing the immune response toFrontiers in immunology · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. In-host modeling.Infectious Disease Modelling · 2017
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Dynamic models of immune responses: what is the ideal level of detail?Theoretical biology & medical modelling · 2010
    Article
  19. Tuberculosis: global approaches to a global disease.Current opinion in biotechnology · 2010
    Review
  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

3 authors.

D GammackDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI 49109, USA.
C R Doering
D E Kirschner

Funding

The dynamics of granuloma formation in tuberculosisR01HL068526 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KIRSCHNER, DENISE E · 2001 to 2005
$2.3M
NHLBI NIH HHS HL6119NHLBI NIH HHS HL68526
6 · The paper itself

Abstract

The immune response to Mycobacterium tuberculosis (Mtb) infection is the formation of multicellular lesions, or granolomas, in the lung of the individual. However, the structure of the granulomas and the spatial distribution of the immune cells within is not well understood. In this paper we develop a mathematical model investigating the early and initial immune response to Mtb. The model consists of coupled reaction-diffusion-advection partial differential equations governing the dynamics of the relevant macrophage and bacteria populations and a bacteria-produced chemokine. Our novel application of mathematical concepts of internal states and internal velocity allows us to begin to study this unique immunological structure. Volume changes resulting from proliferation and death terms generate a velocity field by which all cells are transported within the forming granuloma. We present numerical results for two distinct infection outcomes: controlled and uncontrolled granuloma growth. Using a simplified model we are able to analytically determine conditions under which the bacteria population decreases, representing early clearance of infection, or grows, representing the initial stages of granuloma formation.

Indexed as

Models, ImmunologicalAlgorithmsCell CountCell DeathCell MovementChemokinesChemotaxis, LeukocyteGranulomaHumansImmunity, InnateMacrophagesMycobacterium tuberculosisPhagocytosisTuberculosisChemokines

Identifiers

What OpenQuestion holds

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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.